Marketing data and research
Find external data for market research, competitor analysis and content: data tools, public datasets, industry benchmarks, surveys and reports. Compare coverage, access and limitations.
Compare the timing and relative direction of interest in topics; create a clearly labeled exploratory chart.
Coverage: Available by country and subregion, depending on query · Relative interest over time and geography; related topics and queries
Automate reproducible trend analyses if accepted into the alpha and your question fits the documented dataset.
Coverage: Provider documentation describes geographic and temporal search-trend analysis · Programmatic Trends data; consult current alpha documentation for supported fields
Explore paid-search keyword ideas and planning estimates for a defined market and campaign context.
Coverage: Location, language and network settings selected in a Google Ads account · Keyword ideas, historical metrics and forecasts as offered in the account
Review public creative examples and inspect the transparency fields available for a specific ad category or country.
Coverage: Country and ad category coverage varies; political/social-issue rules differ by jurisdiction · Searchable ads and transparency fields; expanded API scope is limited by Meta's rules
Size a geography-aware audience using population, household or business characteristics; compare published vintages.
Coverage: United States, states, counties, places and other statistical geographies where supported · Dataset and vintage-specific demographic, household and business tables
Add employment, wages, prices and other labor-market context to a market or workforce analysis.
Coverage: United States and, for some programs, state and local geographies · Historical time series by BLS program and series
Compare regional output, employment, income, industry activity and other macroeconomic context.
Coverage: United States, states, counties, metropolitan areas, countries and industries by dataset · National accounts, regional income and employment, industry and international data
Analyze public attitudes and behaviors when a relevant released survey includes the population and question you need.
Coverage: Varies by individual U.S. and international study · Respondent-level case data for eligible released surveys
Explore self-reported developer tools, work practices and attitudes; compare survey years with consistent definitions where possible.
Coverage: Respondents across countries; inspect each year's methodology and respondent mix · Annual respondent-level and summary files, varying by year
Explore public news coverage, narratives and event patterns as a discovery signal for emerging topics.
Coverage: Global media coverage; source coverage varies by language and region · Large-scale records and APIs for news, events and media analysis
Compare country-level macroeconomic, demographic and development context when considering international markets.
Coverage: Countries and economies; some subnational or groupings by series · Thousands of time-series indicators across many source databases
Find comparable European business, population, labor and digital-economy statistics for a defined dataset and period.
Coverage: European Union, member states and supported subnational geographies · Dataset-specific statistical observations and metadata
Retrieve comparative country-level measures and their dimensions from OECD datasets.
Coverage: OECD members and other covered economies, depending on dataset · SDMX data and structural metadata by dataset
Study trends in public GitHub activity across included economies at an aggregate level.
Coverage: Economies included in the dataset · Quarterly economy-level aggregates from 2020 onward
Compare SaaS growth and retention metrics with published peer benchmarks and explore how reported distributions change by quarter.
Coverage: Global participating SaaS companies; report coverage varies · Quarterly growth-rate and net-revenue-retention benchmark distributions, plus report-specific analyses
Compare a private B2B SaaS company's growth context with survey-reported peers and review retention and financing comparisons.
Coverage: Private B2B SaaS companies; survey coverage is described by SaaS Capital · Growth-rate and retention benchmarks with comparisons such as bootstrapped versus equity-backed companies
Review annual survey findings and compare a SaaS company's operating context with the report's published benchmark categories.
Coverage: 2025 survey: 69% of respondents in the US and 17% in Europe · Company growth, efficiency, retention and operating benchmarks with report-specific survey cuts
Explore B2B SaaS benchmark distributions by operating model and compare growth and acquisition-efficiency metrics.
Coverage: B2B SaaS companies represented in Maxio's dataset; coverage is not fully specified · ARR growth, CAC ratios, CAC payback and net revenue retention, with filters for company size, pricing model and go-to-market motion
Research external search demand and keyword opportunities through KeywordPlanIdeaService. The wider API also reports on campaigns in accounts you manage.
Coverage: Keyword-planning locations, languages and search-network settings supported by Google Ads · Keyword ideas; historical search volume, competition and bid metrics; campaign forecast estimates
Build keyword research and content-demand analyses with location-specific search estimates and paid-search metrics.
Coverage: Search markets supported by DataForSEO's Google, Bing and trend products · Keyword search-volume, CPC, competition and trend observations; supported fields vary by endpoint
Automate SEO reporting and monitor brand and competitor appearances across search and selected AI-answer products.
Coverage: Search and AI-search markets supported by SE Ranking · Keyword rankings, domain profiles, backlinks, site-audit URLs and AI-search visibility, depending on endpoint
Research external keyword demand and competition using Ad Insight keyword ideas. The wider API also manages and reports on your advertising accounts.
Coverage: Microsoft Advertising keyword-planning locations and network settings · Suggested keywords with monthly search counts, advertiser competition and suggested bids
Add economic context such as rates, employment, prices or output to market and business analysis.
Coverage: United States and international series published in FRED · Economic time series by observation date and series
Analyze public-company filings and reported financial facts using SEC-published data.
Coverage: Companies and filings submitted to the U.S. SEC · Company submissions, identifiers and XBRL facts
Competitive traffic and market trend analysis using Semrush-provided estimates
Coverage: Data available to the authorized account, project or eligible market · Market and traffic trend metrics for supported domains and markets
Use Ahrefs REST API to access its supported marketing data or platform workflows through an authorized API integration.
Coverage: Coverage varies by provider, account, market and endpoint · API-specific reports, objects and metrics described in the provider documentation
Use Semrush Backlinks API to access its supported marketing data or platform workflows through an authorized API integration.
Coverage: Coverage varies by provider, account, market and endpoint · API-specific reports, objects and metrics described in the provider documentation
Use Moz API to access its supported marketing data or platform workflows through an authorized API integration.
Coverage: Coverage varies by provider, account, market and endpoint · API-specific reports, objects and metrics described in the provider documentation
Use SerpApi Search APIs to access its supported marketing data or platform workflows through an authorized API integration.
Coverage: Coverage varies by provider, account, market and endpoint · API-specific reports, objects and metrics described in the provider documentation
Use Similarweb API to access its supported marketing data or platform workflows through an authorized API integration.
Coverage: Coverage varies by provider, account, market and endpoint · API-specific reports, objects and metrics described in the provider documentation
Common Crawl provides raw public web crawl data for discovery research, web measurement and content analysis.
Coverage: Coverage depends on the source's documented geographic and time scope · Provider-described dataset or API records available at the indicated geography and time scope.
Use OpenAlex to find research trends, institutions, experts and topic-level scholarly signals.
Coverage: Coverage depends on the source's documented geographic and time scope · Provider-described dataset or API records available at the indicated geography and time scope.
Use BuiltWith for prospect research and technology adoption hypotheses across public websites.
Coverage: Coverage depends on the source's documented geographic and time scope · Provider-described dataset or API records available at the indicated geography and time scope.
Use the Ad Library API to study public archived ad creative and messages across Meta surfaces.
Coverage: Coverage depends on the source's documented geographic and time scope · Provider-described dataset or API records available at the indicated geography and time scope.
Use GH Archive to analyze public project activity and ecosystem attention over time.
Coverage: Coverage depends on the source's documented geographic and time scope · Provider-described dataset or API records available at the indicated geography and time scope.
Use the API to explore public technical questions and topics in a specific Stack Exchange community.
Coverage: Coverage depends on the source's documented geographic and time scope · Provider-described dataset or API records available at the indicated geography and time scope.
Use Wappalyzer for account research and website technology hypotheses with documented API endpoints.
Coverage: Coverage depends on the source's documented geographic and time scope · Provider-described dataset or API records available at the indicated geography and time scope.
Use CBP to estimate business density and local market structure by industry and geography.
Coverage: Coverage depends on the source's documented geographic and time scope · Provider-described dataset or API records available at the indicated geography and time scope.
Use NES to understand one-person and other nonemployer business populations by market and place.
Coverage: Coverage depends on the source's documented geographic and time scope · Provider-described dataset or API records available at the indicated geography and time scope.
Use CE microdata to study household spending patterns and segment-level expenditure questions.
Coverage: Coverage depends on the source's documented geographic and time scope · Provider-described dataset or API records available at the indicated geography and time scope.
Use ACS 5-year estimates to contextualize demand and serviceable audiences by geography.
Coverage: Coverage depends on the source's documented geographic and time scope · Provider-described dataset or API records available at the indicated geography and time scope.
Use the Economic Census for periodic industry structure and business-size analysis.
Coverage: Coverage depends on the source's documented geographic and time scope · Provider-described dataset or API records available at the indicated geography and time scope.
Use ABS to explore business demographics, technology adoption and owner characteristics in aggregate.
Coverage: Coverage depends on the source's documented geographic and time scope · Provider-described dataset or API records available at the indicated geography and time scope.
Use the surveys to compare firm experiences across countries and business topics such as finance, infrastructure and competition.
Coverage: Coverage depends on the source's documented geographic and time scope · Provider-described dataset or API records available at the indicated geography and time scope.
Size AI opportunity areas, benchmark model capability and investment trends, and support market narratives with a cited longitudinal research source. Useful to AI infrastructure and data-product founders who need credible evidence on AI adoption, capability, economics, and policy.
Coverage: Use the geography stated by the source; coverage can vary by dataset and release. · Size AI opportunity areas, benchmark model capability and investment trends, and support market narratives with a cited longitudinal research source.
Estimate infrastructure adoption and buyer priorities for developer platforms, Kubernetes tooling, observability, and data infrastructure. Directly relevant to founders selling cloud-native developer tools, platform infrastructure, observability, or data workloads.
Coverage: Use the geography stated by the source; coverage can vary by dataset and release. · Estimate infrastructure adoption and buyer priorities for developer platforms, Kubernetes tooling, observability, and data infrastructure.
Identify onboarding friction, documentation needs, and adoption priorities for telemetry agents, SDKs, collectors, and observability data products. Especially useful for founders building developer-facing telemetry, tracing, metrics, logging, or instrumentation products.
Coverage: Use the geography stated by the source; coverage can vary by dataset and release. · Identify onboarding friction, documentation needs, and adoption priorities for telemetry agents, SDKs, collectors, and observability data products.
Segment developer-tool audiences by language and technology, prioritize integrations, and test positioning against reported tool and language usage. A strong fit for developer-tool founders needing broad, current evidence about developer workflows and technology choices.
Coverage: Use the geography stated by the source; coverage can vary by dataset and release. · Segment developer-tool audiences by language and technology, prioritize integrations, and test positioning against reported tool and language usage.
Compare hardware and system performance, validate product claims, and quantify infrastructure trade-offs for model-serving or training products. Useful for founders whose developer or data products depend on model training, inference, storage throughput, or AI infrastructure economics.
Coverage: Use the geography stated by the source; coverage can vary by dataset and release. · Compare hardware and system performance, validate product claims, and quantify infrastructure trade-offs for model-serving or training products.
Map emerging AI and data-engineering research, identify institutions and collaborators, and build evidence-backed topic or competitor intelligence. Valuable for research-heavy AI/data founders building discovery, knowledge, evaluation, or scientific-data products.
Coverage: Use the geography stated by the source; coverage can vary by dataset and release. · Map emerging AI and data-engineering research, identify institutions and collaborators, and build evidence-backed topic or competitor intelligence.
Find public demographic, economic, scientific, and administrative datasets for prototypes, enrichment, benchmarking, and vertical data products. A practical starting point for data-product founders who need authoritative public data to enrich developer or AI workflows.
Coverage: Use the geography stated by the source; coverage can vary by dataset and release. · Find public demographic, economic, scientific, and administrative datasets for prototypes, enrichment, benchmarking, and vertical data products.
Add comparable European business, labor, demographic, ICT, and innovation indicators to regional market sizing and data products. Useful for founders selling across Europe or building data products that need official, cross-country indicators around technology and adoption.
Coverage: Use the geography stated by the source; coverage can vary by dataset and release. · Add comparable European business, labor, demographic, ICT, and innovation indicators to regional market sizing and data products.
Locate cloud-optimized training, geospatial, scientific, climate, and public-interest data suitable for AI prototypes and data-intensive product experiments. Good fit for AI and data-engineering founders who need large datasets near cloud compute without assuming a single universal license or access pattern.
Coverage: Use the geography stated by the source; coverage can vary by dataset and release. · Locate cloud-optimized training, geospatial, scientific, climate, and public-interest data suitable for AI prototypes and data-intensive product experiments.
Measure JVM library presence and release cadence, map dependency/version adoption, and identify underserved integration categories for developer tooling. Useful for founders targeting Java, Kotlin, Scala, build, observability, data-infrastructure, and enterprise developer ecosystems.
Coverage: Use the geography stated by the source; coverage can vary by dataset and release. · Measure JVM library presence and release cadence, map dependency/version adoption, and identify underserved integration categories for developer tooling.
Track .NET package launches, version churn, dependencies, tags, and download-based adoption signals for SDKs, data connectors, and developer tools. Strong fit for founders selling into Microsoft/.NET teams, enterprise APIs, data platforms, and internal developer portals.
Coverage: Use the geography stated by the source; coverage can vary by dataset and release. · Track .NET package launches, version churn, dependencies, tags, and download-based adoption signals for SDKs, data connectors, and developer tools.
Discover Ruby framework and data-library demand, compare versions, analyze dependency ecosystems, and prioritize integrations or migration tooling. Relevant to founders serving Rails/Ruby teams, data engineering libraries, API clients, and platform automation.
Coverage: Use the geography stated by the source; coverage can vary by dataset and release. · Discover Ruby framework and data-library demand, compare versions, analyze dependency ecosystems, and prioritize integrations or migration tooling.
Study Go module/version availability and dependency adoption, identify commonly consumed infrastructure libraries, and validate reproducible-build or supply-chain product opportunities. Particularly useful for cloud-native, infrastructure, networking, observability, and data-platform founders building for Go-heavy teams.
Coverage: Use the geography stated by the source; coverage can vary by dataset and release. · Study Go module/version availability and dependency adoption, identify commonly consumed infrastructure libraries, and validate reproducible-build or supply-chain product opportunities.
Map cloud/data infrastructure patterns, provider and module competition, schema surface area, and gaps in deployment or governance tooling. High fit for founders serving platform engineering, cloud infrastructure, data warehouses, Kubernetes, security, and infrastructure-as-code workflows.
Coverage: Use the geography stated by the source; coverage can vary by dataset and release. · Map cloud/data infrastructure patterns, provider and module competition, schema surface area, and gaps in deployment or governance tooling.
Quantify PHP framework/data-library demand, identify dependency clusters, monitor package/version movement, and find integration opportunities in web and API stacks. Fits founders serving PHP/Laravel/Symfony teams, API infrastructure, CMS ecosystems, and data-connected web applications.
Coverage: Use the geography stated by the source; coverage can vary by dataset and release. · Quantify PHP framework/data-library demand, identify dependency clusters, monitor package/version movement, and find integration opportunities in web and API stacks.
Research modern TypeScript package adoption, documentation quality, runtime compatibility, and emerging developer-tool/data-client niches outside the legacy npm registry. Good fit for TypeScript-first SDKs, edge/serverless tooling, API clients, data utilities, and founders targeting Deno and cross-runtime developers.
Coverage: Use the geography stated by the source; coverage can vary by dataset and release. · Research modern TypeScript package adoption, documentation quality, runtime compatibility, and emerging developer-tool/data-client niches outside the legacy npm registry.
Map installable data-science, numerical, GPU, and scientific-computing packages across channels; analyze platform/build variants and dependency availability for data products. Especially valuable for founders building data/ML tooling, scientific software, GPU workflows, notebooks, and reproducible environment products.
Coverage: Use the geography stated by the source; coverage can vary by dataset and release. · Map installable data-science, numerical, GPU, and scientific-computing packages across channels; analyze platform/build variants and dependency availability for data products.
Estimate software/data-sector demand, regional opportunity, industry growth, R&D intensity, and macro scenarios for pricing or expansion plans. The software and R&D investment series are directly relevant to developer-tool markets and data-product TAM models.
Coverage: Use the geography stated by the source; coverage can vary by dataset and release. · Estimate software/data-sector demand, regional opportunity, industry growth, R&D intensity, and macro scenarios for pricing or expansion plans.
Size addressable technical roles, map buyer/user personas, design skills taxonomies, and compare skill requirements across developer, data, and infrastructure occupations. It supplies a structured, reusable skills ontology that can inform developer-product segmentation and workforce analytics.
Coverage: Use the geography stated by the source; coverage can vary by dataset and release. · Size addressable technical roles, map buyer/user personas, design skills taxonomies, and compare skill requirements across developer, data, and infrastructure occupations.
Assess R&D ecosystems, technical workforce supply, university and institution markets, regional innovation, and AI/software adoption signals. Strong primary evidence for founders selling to research, engineering, AI, and data-intensive organizations or choosing launch geographies.
Coverage: Use the geography stated by the source; coverage can vary by dataset and release. · Assess R&D ecosystems, technical workforce supply, university and institution markets, regional innovation, and AI/software adoption signals.
Model connectivity-dependent developer products, edge/data workloads, underserved-market opportunity, cloud/remote-work feasibility, and geographic expansion. A rare primary infrastructure source for testing where developer/data services can realistically be delivered and where connectivity gaps create opportunities.
Coverage: Use the geography stated by the source; coverage can vary by dataset and release. · Model connectivity-dependent developer products, edge/data workloads, underserved-market opportunity, cloud/remote-work feasibility, and geographic expansion.
Analyze UK labor, business, population, regional, economic, and technology-adjacent indicators for market sizing and localization. A practical official API for UK-focused developer products, data enrichment, and reproducible market research without relying on commercial panels.
Coverage: Use the geography stated by the source; coverage can vary by dataset and release. · Analyze UK labor, business, population, regional, economic, and technology-adjacent indicators for market sizing and localization.
Benchmark country digital readiness, broadband/mobile affordability, connectivity, and ICT-market conditions when prioritizing international developer-tool or data-product expansion. Provides globally comparable ICT context that helps founders distinguish product demand from infrastructure and affordability constraints across markets.
Coverage: Use the geography stated by the source; coverage can vary by dataset and release. · Benchmark country digital readiness, broadband/mobile affordability, connectivity, and ICT-market conditions when prioritizing international developer-tool or data-product expansion.
Map competitor categories, integrations, pricing positioning, and unmet workflow needs among Jira and Confluence teams. Useful for developer-tool founders selling collaboration, DevOps, observability, security, and data-workflow extensions to engineering teams.
Coverage: Use the geography stated by the source; coverage can vary by dataset and release. · Map competitor categories, integrations, pricing positioning, and unmet workflow needs among Jira and Confluence teams.
Track regional and temporal signals for browsers, operating systems, protocols, Internet services, outages, and AI-related traffic. Helps developer and data-product founders size technical adoption and regional infrastructure signals without relying on self-reported marketing surveys.
Coverage: Use the geography stated by the source; coverage can vary by dataset and release. · Track regional and temporal signals for browsers, operating systems, protocols, Internet services, outages, and AI-related traffic.
Measure real-world adoption of web frameworks, scripts, hosting patterns, APIs, and performance characteristics relevant to developer-facing products. A strong evidence source for founders building web tooling, developer experience products, performance tools, and data products for the public web.
Coverage: Use the geography stated by the source; coverage can vary by dataset and release. · Measure real-world adoption of web frameworks, scripts, hosting patterns, APIs, and performance characteristics relevant to developer-facing products.
Compare framework, build-tool, testing, and library awareness/usage/satisfaction signals when choosing integrations or a JavaScript-focused niche. Valuable to founders building frontend, API, testing, build, observability, and JavaScript data products.
Coverage: Use the geography stated by the source; coverage can vary by dataset and release. · Compare framework, build-tool, testing, and library awareness/usage/satisfaction signals when choosing integrations or a JavaScript-focused niche.
Estimate technology penetration, identify integration targets, and monitor shifts in the web stack or competitor implementation footprint. Provides an independent web-scale signal for founders whose developer or data product depends on frameworks, hosting, CDNs, or site infrastructure.
Coverage: Use the geography stated by the source; coverage can vary by dataset and release. · Estimate technology penetration, identify integration targets, and monitor shifts in the web stack or competitor implementation footprint.
Find software, cloud, cybersecurity, AI, and data procurement opportunities; identify agencies, incumbents, contract vehicles, and buyer language. Developer-tool and data-product SaaS firms can use official solicitations to validate public-sector demand and procurement requirements.
Coverage: Use the geography stated by the source; coverage can vary by dataset and release. · Find software, cloud, cybersecurity, AI, and data procurement opportunities; identify agencies, incumbents, contract vehicles, and buyer language.
Measure agency and recipient spending on cloud, IT, analytics, cybersecurity, and research; size government segments and discover past buyers. A credible way to quantify government adoption and budgets for data infrastructure and developer-facing services.
Coverage: Use the geography stated by the source; coverage can vary by dataset and release. · Measure agency and recipient spending on cloud, IT, analytics, cybersecurity, and research; size government segments and discover past buyers.
Find biomedical data-intensive projects, funded investigators, institutions, and technical research that may need data platforms, pipelines, or specialized developer tooling. Data-product founders can map funded, technically sophisticated research organizations and domain-specific demand without relying on vendor estimates.
Coverage: Use the geography stated by the source; coverage can vary by dataset and release. · Find biomedical data-intensive projects, funded investigators, institutions, and technical research that may need data platforms, pipelines, or specialized developer tooling.
Discover funded technical startups, award abstracts, agencies, topics, phases, and competitors; identify non-dilutive funding patterns relevant to deep-tech SaaS. Especially useful for developer/data founders selling to or emerging from federally funded technical small businesses.
Coverage: Use the geography stated by the source; coverage can vary by dataset and release. · Discover funded technical startups, award abstracts, agencies, topics, phases, and competitors; identify non-dilutive funding patterns relevant to deep-tech SaaS.
Map competing technical approaches, assignees, inventors, and emerging areas such as data systems, AI, observability, and developer infrastructure. Patent activity can reveal technical direction and crowdedness before competitors become obvious through commercial marketing.
Coverage: Use the geography stated by the source; coverage can vary by dataset and release. · Map competing technical approaches, assignees, inventors, and emerging areas such as data systems, AI, observability, and developer infrastructure.
Research UK SaaS and data companies, directors, accounts, status changes, charges, and filing events for prospecting and market mapping. A primary source for UK startup/company verification and financial or ownership signals outside U.S.-centric datasets.
Coverage: Use the geography stated by the source; coverage can vary by dataset and release. · Research UK SaaS and data companies, directors, accounts, status changes, charges, and filing events for prospecting and market mapping.
Monitor European tenders for cloud, software, data engineering, analytics, and cybersecurity; segment demand by buyer, CPV category, geography, and notice type. Gives developer/data SaaS founders an official, cross-European view of public-sector demand and language.
Coverage: Use the geography stated by the source; coverage can vary by dataset and release. · Monitor European tenders for cloud, software, data engineering, analytics, and cybersecurity; segment demand by buyer, CPV category, geography, and notice type.
Run SQL exploration and repeatable benchmarks on public mobility, weather, economic, and other datasets without first operating a data lake; validate schemas and analytics features for a SaaS prototype. Developer and data-product founders can test analytical workloads, create reproducible demos, and estimate warehouse economics against real public data using SQL and standard cloud tooling.
Coverage: Use the geography stated by the source; coverage can vary by dataset and release. · Run SQL exploration and repeatable benchmarks on public mobility, weather, economic, and other datasets without first operating a data lake; validate schemas and analytics features for a SaaS prototype.
Prototype weather/climate features, location intelligence, risk models, data connectors, and time-series benchmarks for analytics or developer APIs. A credible primary source for founders whose products need real-world environmental signals, especially when building APIs or demos that must use reproducible, machine-readable scientific data.
Coverage: Use the geography stated by the source; coverage can vary by dataset and release. · Prototype weather/climate features, location intelligence, risk models, data connectors, and time-series benchmarks for analytics or developer APIs.
Track research themes, institutions, funders, citations/DOIs, and emerging technical domains; build discovery, enrichment, or research-intelligence features. Particularly valuable for developer-tools founders monitoring technical research, data infrastructure trends, and institutional or funder demand.
Coverage: Use the geography stated by the source; coverage can vary by dataset and release. · Track research themes, institutions, funders, citations/DOIs, and emerging technical domains; build discovery, enrichment, or research-intelligence features.
Study public documentation, pricing pages, changelogs, ecosystem pages, and historical web presence at scale; build searchable or longitudinal datasets from public web snapshots. Especially useful for developer-tool founders doing competitive intelligence and documentation/ecosystem research without relying on excluded search or social platforms.
Coverage: Use the geography stated by the source; coverage can vary by dataset and release. · Study public documentation, pricing pages, changelogs, ecosystem pages, and historical web presence at scale; build searchable or longitudinal datasets from public web snapshots.
Research Swiss market structure, public-sector and regional demand, transport, geography, health, and economic indicators; inspect downloadable metadata for pipeline construction. A useful primary source for founders testing Swiss or multilingual European markets and building localized public-data products.
Coverage: Use the geography stated by the source; coverage can vary by dataset and release. · Research Swiss market structure, public-sector and regional demand, transport, geography, health, and economic indicators; inspect downloadable metadata for pipeline construction.
Build geospatial developer products, routing/location intelligence, coverage analysis, place/entity enrichment, and infrastructure or mobility research. A foundational, technically rich geospatial source for data-product founders who need reusable location entities and continuously changing map data.
Coverage: Use the geography stated by the source; coverage can vary by dataset and release. · Build geospatial developer products, routing/location intelligence, coverage analysis, place/entity enrichment, and infrastructure or mobility research.
Benchmark delivery-performance problems, frame developer-experience research, and connect engineering practices to outcomes when developing a B2B tooling business case. Its subject is the operating model of software engineering teams—the buyers and users of developer platforms, CI/CD, observability, and data/AI tooling.
Coverage: Use the geography stated by the source; coverage can vary by dataset and release. · Benchmark delivery-performance problems, frame developer-experience research, and connect engineering practices to outcomes when developing a B2B tooling business case.
Assess API-first adoption, discover collaboration and governance gaps, and validate demand for API testing, cataloging, documentation, security, or analytics products. API professionals and developers are a highly relevant audience for developer tooling and for data products built around integrations and machine-readable interfaces.
Coverage: Use the geography stated by the source; coverage can vary by dataset and release. · Assess API-first adoption, discover collaboration and governance gaps, and validate demand for API testing, cataloging, documentation, security, or analytics products.
Map security/AI investment priorities, identify toolchain-consolidation demand, and develop ICP hypotheses for platform engineering and secure SDLC products. It directly surveys the engineering, security, and DevOps practitioners who evaluate developer infrastructure and data/security tooling.
Coverage: Use the geography stated by the source; coverage can vary by dataset and release. · Map security/AI investment priorities, identify toolchain-consolidation demand, and develop ICP hypotheses for platform engineering and secure SDLC products.
Research data-team priorities, governance and quality pain, analytics-engineering workflows, and buying triggers for transformation, catalog, testing, and data-product tools. This is unusually close to the target market: data practitioners shipping governed, reusable analytics and data products.
Coverage: Use the geography stated by the source; coverage can vary by dataset and release. · Research data-team priorities, governance and quality pain, analytics-engineering workflows, and buying triggers for transformation, catalog, testing, and data-product tools.
Estimate addressable developer populations by language, prioritize SDKs and integrations, and compare language-community growth for developer-tool market selection. Language-community sizing gives founders a practical top-down market signal for SDK, observability, data-engineering, and platform products.
Coverage: Use the geography stated by the source; coverage can vary by dataset and release. · Estimate addressable developer populations by language, prioritize SDKs and integrations, and compare language-community growth for developer-tool market selection.
Research cloud-management priorities, waste and governance pain, multi-cloud complexity, and enterprise willingness to buy FinOps, platform, and data infrastructure products. Cloud decision-makers and users are the budget owners and technical evaluators for SaaS infrastructure, analytics, and data-platform offerings.
Coverage: Use the geography stated by the source; coverage can vary by dataset and release. · Research cloud-management priorities, waste and governance pain, multi-cloud complexity, and enterprise willingness to buy FinOps, platform, and data infrastructure products.
Build validation, interoperability, protocol-observability, or developer-reference data products from current protocol assignments; use registry identifiers as canonical lookup data. Strong fit for developer-tool founders needing authoritative, machine-readable protocol metadata for parsers, gateways, SDKs, and network-data products.
Coverage: Use the geography stated by the source; coverage can vary by dataset and release. · Build validation, interoperability, protocol-observability, or developer-reference data products from current protocol assignments; use registry identifiers as canonical lookup data.
Create energy-market intelligence, carbon/energy analytics, infrastructure monitoring, or forecasting datasets and APIs for technical and data-product customers. Good fit for data-product founders who need a maintained official time-series source that can be embedded in developer-facing analytics and planning tools.
Coverage: Use the geography stated by the source; coverage can vary by dataset and release. · Create energy-market intelligence, carbon/energy analytics, infrastructure monitoring, or forecasting datasets and APIs for technical and data-product customers.
Build workforce-market intelligence, hiring and compensation benchmarks, economic indicators, or country/sector datasets for developer-facing research and planning products. Good fit for data-product founders serving workforce analytics, global expansion, economic research, and evidence-backed market-sizing workflows.
Coverage: Use the geography stated by the source; coverage can vary by dataset and release. · Build workforce-market intelligence, hiring and compensation benchmarks, economic indicators, or country/sector datasets for developer-facing research and planning products.
Discover and link research-grade space, Earth-science, and aeronautics datasets into searchable catalogs, domain-specific data products, educational tools, or model pipelines. Useful for developer-tool and data-product founders building dataset discovery, scientific search, provenance, or domain-specific aggregation layers.
Coverage: Use the geography stated by the source; coverage can vary by dataset and release. · Discover and link research-grade space, Earth-science, and aeronautics datasets into searchable catalogs, domain-specific data products, educational tools, or model pipelines.
Map competing infrastructure, database, AI, observability, and FinOps offerings; identify integration and channel opportunities for a developer-tool or data-product startup. Strong: the catalog is organized around cloud infrastructure, databases, AI, and FinOps, which are direct contexts for developer and data products.
Coverage: Use the geography stated by the source; coverage can vary by dataset and release. · Map competing infrastructure, database, AI, observability, and FinOps offerings; identify integration and channel opportunities for a developer-tool or data-product startup.
Research enterprise cloud-tool positioning and partner distribution; compare database, container, infrastructure, security, and observability solutions relevant to technical buyers. Strong: its categories explicitly include containers, databases, infrastructure, and observability, making it useful for developer-tool and data-product competitive research.
Coverage: Use the geography stated by the source; coverage can vary by dataset and release. · Research enterprise cloud-tool positioning and partner distribution; compare database, container, infrastructure, security, and observability solutions relevant to technical buyers.
Find enterprise integration, analytics, data-management, automation, and developer-platform partners; assess whether a product could reach SAP-centric data and engineering teams. Good: developer and data products that integrate with SAP platforms can use the catalog for ecosystem mapping and enterprise channel research.
Coverage: Use the geography stated by the source; coverage can vary by dataset and release. · Find enterprise integration, analytics, data-management, automation, and developer-platform partners; assess whether a product could reach SAP-centric data and engineering teams.
Track which self-hostable developer tools, databases, AI runtimes, and infrastructure components can be deployed quickly by SMB and developer audiences; evaluate a possible distribution channel. Strong: one-click deployment and the documented app/image inventory are directly relevant to developer-tool onboarding and self-serve data-product distribution.
Coverage: Use the geography stated by the source; coverage can vary by dataset and release. · Track which self-hostable developer tools, databases, AI runtimes, and infrastructure components can be deployed quickly by SMB and developer audiences; evaluate a possible distribution channel.
Inventory IDE extensions and developer workflow tools, inspect competitive categories and licensing patterns, and identify integration or distribution opportunities for tools targeting Eclipse-based environments. Strong for developer tooling: it exposes technical categories such as code management, database development, testing, programming languages, web services, and application development.
Coverage: Use the geography stated by the source; coverage can vary by dataset and release. · Inventory IDE extensions and developer workflow tools, inspect competitive categories and licensing patterns, and identify integration or distribution opportunities for tools targeting Eclipse-based environments.
Build vulnerability intelligence, dependency-risk views, security-content research, or alerting products by normalizing CVE identifiers, descriptions, affected products, and update history. Strong fit for developer-tool and data-product founders building software supply-chain, AppSec, compliance, or security-observability features.
Coverage: Use the geography stated by the source; coverage can vary by dataset and release. · Build vulnerability intelligence, dependency-risk views, security-content research, or alerting products by normalizing CVE identifiers, descriptions, affected products, and update history.
Create Linux package intelligence, compatibility and dependency research, container/base-image analysis, distro coverage dashboards, or developer-facing package discovery. Strong fit for developer-tool founders working on Linux support matrices, dependency intelligence, infrastructure catalogs, SBOM workflows, or package-aware data products.
Coverage: Use the geography stated by the source; coverage can vary by dataset and release. · Create Linux package intelligence, compatibility and dependency research, container/base-image analysis, distro coverage dashboards, or developer-facing package discovery.
Discover and enrich research datasets, benchmark artifacts, software releases, and papers; build dataset discovery, provenance, citation, or research-intelligence products for technical users. Strong fit for ML/data-product founders who need technical datasets, benchmark provenance, research artifacts, or DOI-linked discovery without depending on a commercial catalog.
Coverage: Use the geography stated by the source; coverage can vary by dataset and release. · Discover and enrich research datasets, benchmark artifacts, software releases, and papers; build dataset discovery, provenance, citation, or research-intelligence products for technical users.
Power DOI resolution, dataset and software discovery, citation/provenance graphs, institutional research analytics, and metadata enrichment for data-product catalogs. Strong fit for developer-tool and data-product founders building research-data catalogs, dataset lineage, DOI-aware integrations, or scholarly usage analytics.
Coverage: Use the geography stated by the source; coverage can vary by dataset and release. · Power DOI resolution, dataset and software discovery, citation/provenance graphs, institutional research analytics, and metadata enrichment for data-product catalogs.
Track front-end technology adoption and unmet needs when positioning developer tooling, APIs, or data products for web teams. High for developer-tool founders targeting front-end and web-platform practitioners.
Coverage: Use the geography stated by the source; coverage can vary by dataset and release. · Track front-end technology adoption and unmet needs when positioning developer tooling, APIs, or data products for web teams.
Benchmark observability maturity, outage economics, and buyer priorities for monitoring, telemetry, reliability, and AI-infrastructure products. High for SaaS founders selling observability, data infrastructure, reliability, or cloud operations products to technical leaders.
Coverage: Use the geography stated by the source; coverage can vary by dataset and release. · Benchmark observability maturity, outage economics, and buyer priorities for monitoring, telemetry, reliability, and AI-infrastructure products.
Size and segment platform-engineering demand, identify internal developer-platform pain points, and support content or product hypotheses for B2B engineering buyers. High for developer-platform, CI/CD, security-automation, infrastructure, and internal-tools founders.
Coverage: Use the geography stated by the source; coverage can vary by dataset and release. · Size and segment platform-engineering demand, identify internal developer-platform pain points, and support content or product hypotheses for B2B engineering buyers.
Discover competing extensions, language/tool ecosystem coverage, publisher activity, and potential integration niches for IDE and developer-tool products. High for IDE extensions, language tooling, code intelligence, developer workflow, and API/data products aimed at software engineers.
Coverage: Use the geography stated by the source; coverage can vary by dataset and release. · Discover competing extensions, language/tool ecosystem coverage, publisher activity, and potential integration niches for IDE and developer-tool products.
Analyze small-business financing patterns, lender and geography segments, and capital-access context for B2B SaaS market sizing or fintech-adjacent data products. Medium to high for founders researching SMB acquisition, capital access, vertical SaaS markets, and data products serving small businesses.
Coverage: Use the geography stated by the source; coverage can vary by dataset and release. · Analyze small-business financing patterns, lender and geography segments, and capital-access context for B2B SaaS market sizing or fintech-adjacent data products.
Find public R&D and innovation funding relevant to developer infrastructure, data platforms, cybersecurity, AI, and scientific software; track opportunity themes and deadlines. Useful to technical founders seeking non-dilutive funding or signals about government demand for data products and developer tooling.
Coverage: Use the geography stated by the source; coverage can vary by dataset and release. · Find public R&D and innovation funding relevant to developer infrastructure, data platforms, cybersecurity, AI, and scientific software; track opportunity themes and deadlines.
Build Canadian market sizing, regional business and labor indicators, sector analysis, and recurring economic-data feeds for SaaS planning and customer research. Strong fit for founders expanding developer/data products into Canada or comparing Canadian demand and economic conditions with other markets.
Coverage: Use the geography stated by the source; coverage can vary by dataset and release. · Build Canadian market sizing, regional business and labor indicators, sector analysis, and recurring economic-data feeds for SaaS planning and customer research.
Analyze Australian business, population, labor, and economic conditions; create country-specific benchmarks and data-driven market-entry dashboards for developer and data SaaS. Strong fit for founders needing a trustworthy Australia-specific public-data layer for segmentation, market sizing, and localized product research.
Coverage: Use the geography stated by the source; coverage can vary by dataset and release. · Analyze Australian business, population, labor, and economic conditions; create country-specific benchmarks and data-driven market-entry dashboards for developer and data SaaS.
Monitor innovation and competitive activity around developer infrastructure, databases, AI, and data engineering; identify assignees, technology themes, and patent-event trends. Useful for technical founders and research-heavy data products that need authoritative innovation and competitor signals beyond web analytics.
Coverage: Use the geography stated by the source; coverage can vary by dataset and release. · Monitor innovation and competitive activity around developer infrastructure, databases, AI, and data engineering; identify assignees, technology themes, and patent-event trends.
Estimate macOS developer-tool demand, compare CLI and infrastructure package traction, and identify installation trends for local-development products. High: Homebrew is a practical discovery and installation channel for macOS developer tools, CLIs, databases, and data infrastructure.
Coverage: Use the geography stated by the source; coverage can vary by dataset and release. · Estimate macOS developer-tool demand, compare CLI and infrastructure package traction, and identify installation trends for local-development products.
Discover API categories and integration surfaces, compare machine-readable specifications, and map potential SDK, monitoring, documentation, or data-integration opportunities. High: API discovery and specification data is directly useful to SaaS founders building developer integrations, SDKs, catalogs, and data products.
Coverage: Use the geography stated by the source; coverage can vary by dataset and release. · Discover API categories and integration surfaces, compare machine-readable specifications, and map potential SDK, monitoring, documentation, or data-integration opportunities.
Source reproducible evaluation datasets, benchmark suites, and metadata for testing data tooling, model pipelines, retrieval systems, and developer-oriented ML products. Strong fit for developer-tools founders who need repeatable public benchmarks and structured dataset metadata rather than an undifferentiated dataset dump.
Coverage: Use the geography stated by the source; coverage can vary by dataset and release. · Source reproducible evaluation datasets, benchmark suites, and metadata for testing data tooling, model pipelines, retrieval systems, and developer-oriented ML products.
Find partner data and AI assets for lakehouse applications, or distribute a data/AI offering to organizations using Databricks and Unity Catalog. Excellent fit for data-platform and AI-tool founders targeting enterprise lakehouse teams and seeking a partner marketplace with governed sharing options.
Coverage: Use the geography stated by the source; coverage can vary by dataset and release. · Find partner data and AI assets for lakehouse applications, or distribute a data/AI offering to organizations using Databricks and Unity Catalog.
Research API suppliers, rapidly test external data capabilities, and distribute a developer-facing API through an established discovery and connection workflow. Strong fit for SaaS founders building developer tools or data products who need to compare external APIs or reach developers through an API marketplace.
Coverage: Use the geography stated by the source; coverage can vary by dataset and release. · Research API suppliers, rapidly test external data capabilities, and distribute a developer-facing API through an established discovery and connection workflow.
Measure the R ecosystem's package breadth, release activity, dependencies, and available tooling when evaluating analytics/data-product integrations or R developer demand. Strong for founders targeting R/data-science developers, analytics teams, statistical computing, and package-based integrations.
Coverage: Use the geography stated by the source; coverage can vary by dataset and release. · Measure the R ecosystem's package breadth, release activity, dependencies, and available tooling when evaluating analytics/data-product integrations or R developer demand.
Analyze Perl module supply, versions, documentation, dependencies, and ecosystem/search demand; power a Perl-focused catalog or developer intelligence workflow through API queries. Useful for developer-tool and data-product founders serving Perl-heavy enterprise, infrastructure, or legacy-system environments.
Coverage: Use the geography stated by the source; coverage can vary by dataset and release. · Analyze Perl module supply, versions, documentation, dependencies, and ecosystem/search demand; power a Perl-focused catalog or developer intelligence workflow through API queries.
Track Haskell package coverage, releases, documentation, categories, and dependency signals for language-specific infrastructure or functional-programming developer products. A focused source for founders building tools for Haskell/functional-programming teams, compilers, reliability infrastructure, or typed data services.
Coverage: Use the geography stated by the source; coverage can vary by dataset and release. · Track Haskell package coverage, releases, documentation, categories, and dependency signals for language-specific infrastructure or functional-programming developer products.
Discover and benchmark cloud-native distribution channels and package categories (such as Helm charts, operators, plugins, policies, and tasks), including publisher and security metadata where available. Strong for founders of Kubernetes/platform engineering, DevOps, cloud-native security, and infrastructure marketplace products.
Coverage: Use the geography stated by the source; coverage can vary by dataset and release. · Discover and benchmark cloud-native distribution channels and package categories (such as Helm charts, operators, plugins, policies, and tasks), including publisher and security metadata where available.
Source reproducible benchmark datasets, compare task/domain coverage, and identify common ML evaluation patterns for prototyping data products or model tooling. Useful for ML/data-product founders, evaluation-platform builders, educators, and teams needing recognizable public datasets for demos and baseline experiments.
Coverage: Use the geography stated by the source; coverage can vary by dataset and release. · Source reproducible benchmark datasets, compare task/domain coverage, and identify common ML evaluation patterns for prototyping data products or model tooling.
Build an IP/ASN intelligence feature that checks a customer's prefix routing state, DNS information, abuse contact and related network context before onboarding or during incident triage. SaaS founders and developer-tool teams needing machine-readable Internet infrastructure enrichment.
Coverage: Use the geography stated by the source; coverage can vary by dataset and release. · Build an IP/ASN intelligence feature that checks a customer's prefix routing state, DNS information, abuse contact and related network context before onboarding or during incident triage.
Enrich customer IPs and autonomous systems with organization and topology context, or benchmark a network-monitoring product against CAIDA's measurement datasets. Infrastructure SaaS founders, network observability builders and data-product teams needing research-grade Internet measurements.
Coverage: Use the geography stated by the source; coverage can vary by dataset and release. · Enrich customer IPs and autonomous systems with organization and topology context, or benchmark a network-monitoring product against CAIDA's measurement datasets.
Monitor a company's domains and brand for newly issued certificates, identify unexpected subdomains or certificate issuance, and trigger security or customer-notification workflows. SaaS security founders, domain-monitoring products and developer tools that need near-real-time certificate visibility.
Coverage: Use the geography stated by the source; coverage can vary by dataset and release. · Monitor a company's domains and brand for newly issued certificates, identify unexpected subdomains or certificate issuance, and trigger security or customer-notification workflows.
Power domain and DNS products with authoritative TLD discovery, root-zone validation and routing of domain-registration lookups to the correct RDAP service. Domain/DNS SaaS founders, registrars, certificate tools and infrastructure developers needing standards-based authoritative registries.
Coverage: Use the geography stated by the source; coverage can vary by dataset and release. · Power domain and DNS products with authoritative TLD discovery, root-zone validation and routing of domain-registration lookups to the correct RDAP service.
Build a workforce-planning or pricing dashboard that benchmarks software/data-product customer regions using employment, wage, and labor-series trends. Strong for founders targeting employers, recruiters, skills platforms, or technical-workforce analytics; BLS series IDs can be embedded in repeatable product queries.
Coverage: Use the geography stated by the source; coverage can vary by dataset and release. · Build a workforce-planning or pricing dashboard that benchmarks software/data-product customer regions using employment, wage, and labor-series trends.
Power job-to-skill matching, technical persona discovery, or a developer-tool onboarding recommender by mapping occupations to tasks, knowledge, skills, and crosswalks. Strong for HR-tech, learning, recruiting, workforce intelligence, and developer-skills products that need a standardized occupation/skill ontology.
Coverage: Use the geography stated by the source; coverage can vary by dataset and release. · Power job-to-skill matching, technical persona discovery, or a developer-tool onboarding recommender by mapping occupations to tasks, knowledge, skills, and crosswalks.
Estimate addressable market and churn/expansion opportunity for a developer tool by measuring establishment births, deaths, job creation, and destruction by industry, geography, and firm characteristics. Strong for B2B SaaS founders doing territory sizing, vertical selection, sales planning, or investor-grade market and employment-dynamics analysis.
Coverage: Use the geography stated by the source; coverage can vary by dataset and release. · Estimate addressable market and churn/expansion opportunity for a developer tool by measuring establishment births, deaths, job creation, and destruction by industry, geography, and firm characteristics.
Localize a developer-tool market-entry model across European countries using official ICT employment, enterprise, labor, and business indicators exposed through machine-readable services. Strong for founders selling across Europe who need comparable country-level demand, workforce, enterprise, or digitalization signals rather than U.S.-only benchmarks.
Coverage: Use the geography stated by the source; coverage can vary by dataset and release. · Localize a developer-tool market-entry model across European countries using official ICT employment, enterprise, labor, and business indicators exposed through machine-readable services.
Use reported cloud-native adoption and technology patterns to prioritize integrations, segment platform-engineering buyers, and create evidence-backed messaging for developer infrastructure. Strong for founders marketing Kubernetes/cloud-native infrastructure, observability, security, platform engineering, and adjacent developer tools to technical teams.
Coverage: Use the geography stated by the source; coverage can vary by dataset and release. · Use reported cloud-native adoption and technology patterns to prioritize integrations, segment platform-engineering buyers, and create evidence-backed messaging for developer infrastructure.
Build a lead and ecosystem intelligence pipeline that tracks public repositories, stars, issues, releases, and contributor activity to identify teams adopting a competing developer tool or to prioritize integrations. Directly relevant to developer-tool founders, open-source maintainers, developer-relations teams, and products whose users/projects are hosted on GitHub.
Coverage: Use the geography stated by the source; coverage can vary by dataset and release. · Build a lead and ecosystem intelligence pipeline that tracks public repositories, stars, issues, releases, and contributor activity to identify teams adopting a competing developer tool or to prioritize integrations.
Measure package adoption and dependency positioning for a JavaScript SDK, discover packages to support, and monitor competitor release/metadata changes before planning integrations or content. Strong fit for founders selling JavaScript/Node.js SDKs, libraries, build tools, observability agents, and dependency/security products.
Coverage: Use the geography stated by the source; coverage can vary by dataset and release. · Measure package adoption and dependency positioning for a JavaScript SDK, discover packages to support, and monitor competitor release/metadata changes before planning integrations or content.
Create Python ecosystem intelligence for an SDK or data product: identify fast-moving libraries, inspect supported Python versions and dependencies, and trigger release/catalog monitoring for integration opportunities. Direct fit for Python developer-tool founders, data/ML infrastructure products, SDK vendors, and package-security or dependency-management SaaS.
Coverage: Use the geography stated by the source; coverage can vary by dataset and release. · Create Python ecosystem intelligence for an SDK or data product: identify fast-moving libraries, inspect supported Python versions and dependencies, and trigger release/catalog monitoring for integration opportunities.
Use technology, role, work, and tool-preference findings to prioritize a developer-tool ICP, select ecosystem integrations, and benchmark positioning in launch or investor materials. Useful for developer-tool and data-product founders needing broad directional evidence about developer roles, technologies, workflows, and preferences.
Coverage: Use the geography stated by the source; coverage can vary by dataset and release. · Use technology, role, work, and tool-preference findings to prioritize a developer-tool ICP, select ecosystem integrations, and benchmark positioning in launch or investor materials.
Track Rust crate releases, versions, and dependency ecosystem signals to decide whether a developer tool needs a Rust SDK, identify integration targets, or monitor competing infrastructure crates. Especially relevant to Rust-focused developer-tool founders, systems/data-infrastructure products, CI/build tooling, and security/dependency intelligence providers.
Coverage: Use the geography stated by the source; coverage can vary by dataset and release. · Track Rust crate releases, versions, and dependency ecosystem signals to decide whether a developer tool needs a Rust SDK, identify integration targets, or monitor competing infrastructure crates.
Build a public-company monitoring product that detects new 10-K/10-Q/8-K filings and normalizes companyfacts XBRL metrics for competitive and customer-account research. Strong fit for developer-tool founders selling public-company intelligence, finance integrations, compliance workflows, or sales/account research to U.S.-market businesses.
Coverage: Use the geography stated by the source; coverage can vary by dataset and release. · Build a public-company monitoring product that detects new 10-K/10-Q/8-K filings and normalizes companyfacts XBRL metrics for competitive and customer-account research.
Offer UK company enrichment and monitoring: verify a prospect's incorporation/status, retrieve officers and filing events, and trigger alerts when accounts or confirmation statements change. Strong fit for UK-focused B2B SaaS, KYC/vendor-risk, sales intelligence, and corporate-data APIs.
Coverage: Use the geography stated by the source; coverage can vary by dataset and release. · Offer UK company enrichment and monitoring: verify a prospect's incorporation/status, retrieve officers and filing events, and trigger alerts when accounts or confirmation statements change.
Build a GovTech prospecting product that ranks contractors/grantees by agency, award type, geography, amount, and dates, then exposes renewal and competitor signals to federal suppliers. Strong fit for GovTech founders, federal-contracting sales tools, grant intelligence, procurement analytics, and data-enrichment APIs.
Coverage: Use the geography stated by the source; coverage can vary by dataset and release. · Build a GovTech prospecting product that ranks contractors/grantees by agency, award type, geography, amount, and dates, then exposes renewal and competitor signals to federal suppliers.
Create a federal-supplier discovery and validation API using UEI, registration status, NAICS/PSC, business type, addresses, and public points of contact to qualify government-sales leads. Strong fit for GovCon SaaS, federal vendor onboarding, supplier-risk, contract-intelligence, and public-sector sales tooling.
Coverage: Use the geography stated by the source; coverage can vary by dataset and release. · Create a federal-supplier discovery and validation API using UEI, registration status, NAICS/PSC, business type, addresses, and public points of contact to qualify government-sales leads.
Build a prospecting feed of sites using a competitor or complementary technology (for example Shopify plus an analytics tool), optionally filtered by country, spend, or recency, to target integrations or outbound campaigns. Developer-tool and SaaS founders, growth teams, sales engineers, and ecosystem/integration teams needing technology-installation lists.
Coverage: Use the geography stated by the source; coverage can vary by dataset and release. · Build a prospecting feed of sites using a competitor or complementary technology (for example Shopify plus an analytics tool), optionally filtered by country, spend, or recency, to target integrations or outbound campaigns.
Enrich inbound domains or build-account lists with detected frameworks, analytics, payment, hosting, and other technologies to prioritize integration prospects and tailor developer-tool outreach. SaaS founders, developer-relations teams, GTM engineers, agencies, and product teams doing stack-aware lead qualification or competitive research.
Coverage: Use the geography stated by the source; coverage can vary by dataset and release. · Enrich inbound domains or build-account lists with detected frameworks, analytics, payment, hosting, and other technologies to prioritize integration prospects and tailor developer-tool outreach.
Benchmark competitors' estimated traffic, trends, channels, and market demand to size a developer-tool opportunity, prioritize countries, and validate launch or content-marketing bets. SaaS founders, product marketers, growth teams, investors, and strategy teams evaluating competitor demand and online markets.
Coverage: Use the geography stated by the source; coverage can vary by dataset and release. · Benchmark competitors' estimated traffic, trends, channels, and market demand to size a developer-tool opportunity, prioritize countries, and validate launch or content-marketing bets.
Compare email engagement with published industry aggregates from other Mailchimp customers, and identify a question to investigate in your own campaigns.
Coverage: Mailchimp customer campaigns; geographic breakdown not specified on the public page · Industry-level aggregate open, click and unsubscribe rates
Benchmarking competitors' paid media, creative strategy, channel mix and estimated spend
Coverage: Global; channel and market coverage varies · Advertiser, brand, creative, publisher, placement, channel, spend and impressions
Cloud-native product strategy, security and container adoption
Coverage: Global · Cloud-native organizations, workloads and security practices
observability maturity, performance engineering, monitoring and software delivery
Coverage: Global · annual; role, organization and observability-practice cuts
threat trends, cloud security, malware, detection and adversary tactics
Coverage: Global · annual; attack technique, malware and environment cuts
growth, retention, efficiency, EBITDA, GTM and AI adoption
Coverage: Global/primarily North America · annual; private SaaS company and ARR cohorts
NRR, growth, CAC, sales efficiency and expansion benchmarks
Coverage: Global · annual; ARR and metric cohorts
open-source security, SCA, supply-chain controls and AI coding risk
Coverage: Global · annual; organization and practice cohorts
Engineering delivery and DevOps benchmarks
Coverage: Global · Pipeline/team and performance cohort
MRR, churn, LTV, growth and retention benchmarking
Coverage: Global · live; ARPU cohorts and SaaS metrics
Set revenue-growth and retention targets and compare SaaS performance
Coverage: B2B SaaS; geography not stated · Growth, NRR, ARR and performance quartiles
ARR velocity, valuation, cloud-company growth and category comparisons
Coverage: Global · annual; Cloud 100 cohort and category
breach cost, lifecycle, detection, response, AI/security automation and industry risk
Coverage: Global; industry and region cuts · annual; breach, industry, region and security-practice cohorts
Observability product planning and technical benchmark context
Coverage: Global · Observability practitioners, tools and data sources
MRR growth, new sales, churn, retention and SaaS forecasting
Coverage: Global · monthly; B2B/B2C SaaS index
SaaS valuation multiples, M&A activity, public-market performance and sector mapping
Coverage: Global · annual; transactions, public SaaS and subsectors
FinOps, cloud-cost product strategy and AI infrastructure economics
Coverage: Global cloud organizations · Compute, instance family and GPU spending
Cloud security benchmarks and SaaS feature prioritization
Coverage: AWS, Azure and Google Cloud organizations · Cloud resources, credentials, workloads and configurations
Developer security demand, leakage benchmarks and ecosystem risk
Coverage: Global public GitHub and PyPI · Secrets, repositories, packages and year
secure coding, flaw prevalence, remediation speed and security debt
Coverage: Global · annual; language, flaw and remediation cohorts
ICP/account discovery, contact enrichment, outbound prospecting, segmentation and competitive account research
Coverage: Global B2B company and contact coverage · Organizations, contacts, firmographics, intent, sequences and engagement workflows
Build company, funding, investor and market-intelligence products; prospecting and diligence
Coverage: Worldwide · Company, funding round, investor; historical and predictive packages
Map startup markets, benchmark ecosystems, and support government or accelerator programs
Coverage: Global; configurable city, region and country ecosystems · Companies, investors, funding, people, ecosystem metrics
Resolve legal entities, enrich company records and perform corporate due diligence
Coverage: Worldwide; jurisdiction-level registries · Legal entity, jurisdiction, status, officers and filings where available
Company monitoring, competitor news, private-company context, executive and event tracking
Coverage: Global company coverage · Company profiles, competitors, news, funding, events and alerts
Company enrichment, account targeting, segmentation and entity resolution
Coverage: Global · Company profiles, firmographics, domains and identifiers
Fundraising research, competitive mapping, comps and investor diligence
Coverage: Global · Private companies, investors, professionals, deals, valuations and fund metrics
Startup discovery, funding and investor research, market maps, competitor landscapes and private-market screening
Coverage: Global startup and private-company coverage · Companies, sectors, funding rounds, investors, acquisitions and financial/operating signals
Account lists, ICP sizing, prospecting, firmographic segmentation, intent and competitive GTM research
Coverage: Global, strongest coverage in North America and B2B markets · Companies, contacts, firmographics, technographics, intent and organizational signals
App-store visibility, keyword rankings, competitor monitoring, ASO, creative analysis and download/revenue estimates
Coverage: Apple App Store and Google Play markets globally · App, keyword, category, country, ranking, metadata and creative intelligence
Mobile app market sizing, download/revenue estimates, rankings, reviews, competitor tracking and app portfolio analysis
Coverage: Global Apple App Store and Google Play coverage · App, country, category, rank, downloads, revenue, reviews and competitor trends
Mobile-market sizing, app benchmarking, competitor tracking and investment research
Coverage: Global app markets · App downloads, usage, engagement, categories and AI-app segments
Identify technology vendors, partners, acquisition targets and market shifts
Coverage: Global · Technology companies, markets, funding, competitors and business models
Database market mapping, competitor positioning and adoption signals
Coverage: Global technology market · Database system and monthly rank/score
ASO, Apple Ads campaign analysis, competitor creatives, keyword research and app-store visibility
Coverage: Global App Store and Google Play markets · Apps, keywords, rankings, ad creatives, Apple Ads and country/category views
Benchmark mobile products, size app markets and track competitor moves
Coverage: Global app stores · App downloads, revenue, usage, engagement and competitor performance
App market sizing, portfolio strategy, competitor benchmarking, usage/revenue trends and mobile consumer intelligence
Coverage: Global app markets · Apps, downloads, revenue, usage, rankings, categories and countries
Dependency risk, OSS adoption and supply-chain product planning
Coverage: Global · Package ecosystems, releases, vulnerabilities and enterprises
API/AI adoption, innovation challenges and enterprise integration
Coverage: Global · API leaders and developers
Package discovery, dependency graphs, maintenance and ecosystem intelligence
Coverage: Global; supported package registries · Repository, package, version and dependency level
Product security intelligence, vulnerability exposure and patch prioritization
Coverage: Global products and software · CVE, CPE, vendor/product/version and severity fields
Third-party dependency risk, vulnerability monitoring and remediation
Coverage: Global open-source ecosystems · Package ecosystem, name, version or commit; vulnerability record
Developer ecosystem sizing, language trends and AI tooling demand
Coverage: Global · Developers, repositories, contributions, languages and AI projects
Vendor and dependency due diligence, security benchmarking
Coverage: Global public open-source projects · Project/repository and check-level score
Python package adoption, market sizing and version/installer analysis
Coverage: Global Python package ecosystem · Package file, timestamp, installer, Python version and region fields
Software adoption, version currency and cross-distribution competitive analysis
Coverage: Global; many OS package repositories · Repository, source package, binary package, version and status
dependency selection, package risk triage, vulnerability prevalence and ecosystem maintenance analysis
Coverage: global open-source packages across major ecosystems · package/version, vulnerability, dependency and health/security metadata
developer ecosystem discovery, code reuse/trend analysis, dependency/code navigation and AI coding context
Coverage: global public and connected organizational code hosts · repository, file, symbol, commit, language and code-host integration
AI coding-tool adoption, developer productivity and enterprise enablement
Coverage: US, Brazil, Germany and India · Developers, data scientists and designers; AI tool use
Dependency selection, ecosystem adoption and supply-chain analysis
Coverage: Global open-source ecosystems · Package version, dependency edge, advisory and project
Open-source usage, creation, interdependency and impact research
Coverage: Global open-source ecosystems · Repository, package, issue, dependency and event records
Macro market sizing, forecasts, inflation, unemployment and trade
Coverage: Global countries and country groups · Annual; country/aggregate; 1980-present plus projections
New Zealand population, GDP, economic, social, and environmental analysis
Coverage: New Zealand; national, regional, and local statistics · Indicator/table, geography, period, demographic/economic/social measure
UK demand, inflation, productivity, labor and sector benchmarking
Coverage: United Kingdom · Dataset/time-series dependent; national and subnational
Global public-statistics research, country sizing and development-market analysis
Coverage: Global countries and territories · Indicator, country, organization, topic and time
International market sizing and trade opportunity analysis
Coverage: Global economies · Annual, quarterly and monthly; trade/tariffs/services indicators
Federal-market sizing, pipeline discovery and identifying likely recompetes
Coverage: United States federal agencies · Agency, NAICS, estimated award period, strategy, contract type and value band
Finding Australian Commonwealth contracting opportunities and analyzing awards
Coverage: Australia; Commonwealth government · Notice, agency, contract, supplier, value, date
Monitoring Canadian federal tenders and supplier opportunities
Coverage: Canada; federal public procurement · Tender, status, dates, category, buyer
Finding DOE and laboratory procurement demand before solicitation
Coverage: United States; Department of Energy and field offices · Upcoming procurement, office/site, opportunity type and forecast timing
Finding government sales opportunities and planning federal-market entry
Coverage: United States federal procurement; NASA and JPL · Procurement opportunity, organization, anticipated timing and description
Tracking New Zealand public procurement and supplier opportunities
Coverage: New Zealand public-sector buyers · Tender notice, buyer, category, deadline, status
Discovering UN tenders, vendor registration, and UN-system procurement demand
Coverage: UN member-state/global supplier market; 32 UN organizations represented · Notice, organization, category, deadline, contract award
Monitoring large DoD awards, vendors, contract values, and defense demand
Coverage: United States; DoD components and contractors · Daily announcement, contractor, award value, service/agency, place
Finding supplier opportunities and tracking tenders funded by World Bank projects
Coverage: World Bank-financed projects worldwide · Project, procurement notice, country, sector, deadline
Routing intelligence, outage analysis and network competitor monitoring
Coverage: Global Internet routing tables and collectors · Route announcement, withdrawal, prefix, ASN, collector and timestamp
internet exposure measurement, attack-surface inventory, TLS/certificate analysis, exposed-service and vulnerability research
Coverage: global public internet · host, service, certificate, web-property and software fields
Container adoption, image benchmarking and infrastructure competitor research
Coverage: Global container ecosystem · Image, tag, digest and displayed pull counts
historical DNS pivots, domain/IP co-occurrence, threat hunting and infrastructure change analysis
Coverage: global DNS observations · DNS RRset, resource record, first-seen/last-seen and bailiwick metadata
separating benign background scanning from targeted threats, triage, IP enrichment and threat hunting
Coverage: global IPv4/IPv6 scanning activity · IP, actor/behavior label, CVE, tool and observation metadata
quick ASN profiling, prefix inventory, peer/IXP inspection and routing research
Coverage: global autonomous systems and announced prefixes · ASN, prefix, peer, route, DNS and organization pages
geographic traffic analysis, IP enrichment, fraud/security analytics and network segmentation
Coverage: global IPv4 and IPv6 · IP, country/region/city, coordinates, ISP, ASN and CIDR
IP-to-ASN/geography enrichment, hosting/VPN/proxy analysis, network mapping and geospatial aggregation
Coverage: global IPv4 and IPv6 · IP, ASN, prefix, country/region/city and network attributes
Country connectivity risk, infrastructure expansion and market comparison
Coverage: Country-level global coverage · Country, indicator, weighted score and trend
Regionalization, fraud controls, network mapping and infrastructure analysis
Coverage: Global IPv4/IPv6 addresses · IP-to-country, city and ASN records
Internet adoption, digital-market sizing and infrastructure benchmarking
Coverage: Global countries and regions · Country/year; regional aggregates
peering analysis, network topology, IXP/facility inventories and interconnection research
Coverage: global networks, IXPs, facilities and campuses · network/ASN, exchange, facility, presence and connection objects
Monitoring connectivity, latency, reachability, routing and regional network performance
Coverage: Global probes and anchors · Probe, anchor, measurement, target, protocol and time
routing-table monitoring, prefix origin analysis, hijack research and longitudinal Internet topology
Coverage: global routing system from distributed collectors · collector, ASN, prefix, RIB snapshot and route update
DNS history, subdomain discovery, infrastructure attribution and attack-surface research
Coverage: global domains, IPs and DNS records · domain, subdomain, DNS record, IP, organization and historical timestamp
exposed-device discovery, service/version prevalence, attack-surface monitoring and internet telemetry
Coverage: global public internet · IP/host, port, service, banner, DNS and event-feed records
malicious package detection, dependency-risk monitoring, supply-chain attack research and package adoption safety
Coverage: global npm, PyPI, and other package ecosystems · package/version, dependency change, behavior signal and risk issue
phishing and malware triage, web-change monitoring, redirect analysis and searchable scan telemetry
Coverage: global websites and URLs · URL/scan, domain, IP, ASN, hash, DOM, requests and screenshots
Consumer-market sizing, category outlooks, company shares, consumer trends and country comparisons
Coverage: Global, country, regional and city-level coverage depending on dataset · Categories, industries, companies, consumers and economies; historic and forecast series
Technology and CX market context, vendor evaluation, forecasts, buyer behavior and competitive intelligence
Coverage: Global; regional and industry-specific coverage · Technology markets, customer experience, business strategy, forecasts and benchmarks
Technology market sizing, vendor landscapes, forecasts, benchmarks and executive decision support
Coverage: Global with regional and industry coverage · Markets, vendors, technologies and enterprise segments; forecasts and benchmarks
Market-size estimates, segment definitions, growth forecasts and industry competitive context
Coverage: Global, regional and country markets · Industry reports with market size, segmentation, shares, drivers and forecasts
Industry sizing, growth rates, benchmarking, competitive landscape and risk analysis
Coverage: Global; country-specific industry reports · Industry reports, market size, historical series, forecasts and company/industry structure
Brand and category sizing, consumer behavior, media/advertising intelligence, brand equity and campaign measurement
Coverage: Global with country, audience and category cuts · Brands, consumers, media audiences, ad effectiveness, categories and tracking studies
Consumer-market sizing, category forecasts, consumer behavior, trends and innovation opportunity analysis
Coverage: Global with country/category coverage · Consumer markets, categories, attitudes, lifestyles, forecasts and trend reports
Cloud SaaS market sizing, positioning and investor benchmarks
Coverage: Global cloud and AI startups · Cloud-company themes, funding and public/private market context
Market size, revenue, user and forecast estimates across 1,000+ industries; TAM/SAM framing and cross-country comparisons
Coverage: Global, with country and regional cuts · Industry/market/segment; historical data and forecasts
Prior-art discovery, competitor patent landscaping, and Australian IP research
Coverage: Australia; Australian patent applications and grants · Patent document, claims/abstract, applicant, inventor, classification, dates
Searching Canadian patent records and related IP databases
Coverage: Canada; Canadian patents and other IP records · Patent record, number, applicant/inventor, dates, classification, document
Competitor R&D, technology landscaping, prior-art and freedom-to-operate research
Coverage: Worldwide patent documents · Patent/document; publication and priority dates
Japanese prior-art research, patent landscaping, and IP document retrieval
Coverage: Japan; Japanese and related patent, utility model, design, and trademark records · Document, application/publication, applicant, inventor, classification, legal/procedural data
Cross-jurisdiction patent landscaping and linking inventions to scholarly research
Coverage: Global; patent records from 95+ jurisdictions and scholarly works · Patent family/document, scholar/work, applicant, inventor, citations, classification
Technology landscape mapping, prior-art research, competitive IP and innovation signals
Coverage: United States patents; international fields vary · Patents, inventors, assignees, classifications and citations
Prior-art research, competitor technology monitoring and patent-landscape analysis
Coverage: Worldwide; PCT and national collections · Patent document, application, inventor, applicant, classification and family
Health risk, public-sector product, epidemiology and population segmentation
Coverage: United States and global datasets depending on topic · Dataset-specific; often county/state/time series
Environmental risk, location intelligence, regulated-customer discovery and compliance products
Coverage: United States · Facility, address/geography, environmental program, pollutant and compliance record
Finding public statistics, government datasets and country-specific market signals
Coverage: European Union and European countries · Catalogue, dataset, distribution, publisher, theme and geography
Food, agriculture, commodity and climate-adjacent market sizing
Coverage: 245+ countries and territories · Annual and indicator-dependent; country/region; 1961-present
AI training/evaluation, domain corpus discovery and developer ecosystem research
Coverage: Global; dataset-specific · Dataset, split, row/example, modality and file format
Prototyping data products, model experiments and market/domain exploration
Coverage: Global; dataset-specific · Dataset, file, version and record
Climate, geospatial intelligence, infrastructure and environmental market research
Coverage: Global Earth science observations · Raster/granule/observation/time; product-specific
Environmental intelligence, location analytics, public-health products and sensor benchmarking
Coverage: Global; monitoring-location and measurement-specific · Measurement, pollutant, monitoring location, timestamp and provider
Import/export market sizing, competitor and supply-chain analysis
Coverage: Global reporting economies · Bilateral trade; commodities; reporting-period dependent
Education market sizing, workforce pipeline and country benchmarking
Coverage: Global countries · Indicator/country/year; SDG and benchmark series
Health-market sizing, public-health product research and regional benchmarking
Coverage: Global countries and territories · Country/indicator/time series; daily COVID dashboard where applicable
Finding company, public-sector and market datasets and building data-catalog workflows
Coverage: Global; dataset-specific · Dataset, table, field, metadata and organization
AI investment, workforce, business value, governance and operating-model adoption
Coverage: Global/market-specific editions · annual; executive and industry themes
comparative model adoption/quality signals, preference trends and model-release tracking
Coverage: global participating users and AI models · model, modality, pairwise vote, rating and leaderboard time series
model selection, cost-performance benchmarking, provider adoption comparisons and inference economics
Coverage: global commercial and open model providers · model/provider, intelligence score, token price, speed, latency and context window
Discovering reproducible research data and building scholarly-data products
Coverage: Global; repository and dataset-specific · Repository, dataset, file, version and metadata
Finding reusable research data, validation sets and domain-specific evidence
Coverage: Global; publication/study-specific · Dataset, file, version, citation and research metadata
IoT market sizing, platform adoption and embedded product planning
Coverage: Global IoT and embedded developers · Respondent, technology, use case and industry dimensions
AI capability/training-compute trends, release timelines, organization comparisons and historical adoption analysis
Coverage: global machine-learning models and organizations · model, organization, release date, training compute and model metadata
Go ecosystem demand, tooling and developer-product strategy
Coverage: Global Go developers · Respondent, OS, tools, use cases, sentiment and demographics
Research, workforce and social-science validation datasets
Coverage: Primarily US and international studies · Study/file/variable; study-specific periods and geographies
Open-source workforce, sustainability and ecosystem planning
Coverage: Global open-source contributors · Developer, organization, contribution and project-practice dimensions
agent capability progression, long-task automation analysis and model evaluation
Coverage: frontier AI models evaluated on software/research tasks · model, task, human task duration, success rate and fitted time horizon
Economic research, market modeling, replication and historical benchmarking
Coverage: Primarily U.S. economic, demographic and enterprise data; dataset-specific · Dataset, variable, observation, code and documentation
AI demand, developer learning and technical market signals
Coverage: Global O’Reilly learners · Content views, topics and year-over-year trends
Rust ecosystem product planning and developer workforce research
Coverage: Global Rust community · Respondent and Rust usage, tooling, adoption and challenges
AI adoption, open-source AI ecosystem and founder positioning
Coverage: Global · Organizations, practitioners and open-source/AI ecosystem themes
enterprise GenAI adoption, investment, value realization, governance and barriers
Coverage: Global · quarterly/annual; region, role and adoption-stage cuts
AI adoption, enterprise demand and product-market prioritization
Coverage: Global · Organizations, functions, AI use and value outcomes
Keyword research, competitor SEO/PPC analysis, rank tracking, content gaps and search-market benchmarking
Coverage: International search databases with country and language selections · Keywords, domains, backlinks, SERP results, rank history and PPC data
Competitor keyword discovery, PPC ad research, SEO visibility, SERP history and paid-search benchmarking
Coverage: Primarily Google search markets with country/device options · Domains, keywords, rankings, paid-search ads, competitors and historical observations
AI workforce exposure, geographic adoption and developer use cases
Coverage: Global and US states · Country, state, occupation/task and usage mode
Workforce sizing, demographic segmentation, labor-market and socioeconomic analysis
Coverage: United States and international populations, collection-dependent · Person/household/household member, geography, survey/census year and variable
Workforce, demographics, household segmentation and cross-country demand research
Coverage: 104 countries; 656 censuses/surveys · Individual/household microdata; census/survey wave
Identify needs and tooling patterns among Go developers when researching developer products or prioritizing integrations.
Coverage: Global survey; respondent reach depends on the Go community invitation · Go use, development environments, work, AI tools, challenges and sentiment
Understand how technical finance and infrastructure teams manage cloud, SaaS and AI spending.
Coverage: Global FinOps community; country breakdown not stated · Practices, responsibilities, technology spend and priorities across cloud, SaaS, AI, licensing and data center
Research developer productivity and AI adoption when planning engineering-focused products or messaging.
Coverage: Technology professionals worldwide · Software delivery throughput, stability, product performance, AI adoption, team practices and platforms
Research adoption and integration opportunities for cloud, data and developer tools.
Coverage: Global developer ecosystem; population estimates are survey-based · Cloud-native adoption, developer populations, infrastructure models, AI and data workloads
Assess developer audience needs and technology adoption using an international survey.
Coverage: 194 countries; 24,534 developer respondents · Developer roles, tools, programming languages, AI use, environments and work
Research developer preferences and identify questions for interviews or product discovery.
Coverage: International online respondent pool; coverage varies by question · Developer technologies, work, education, AI tools, compensation, platforms and attitudes
Ground AI market research in multi-country enterprise survey evidence and compare adoption barriers.
Coverage: G7 countries and Brazil; survey includes 840 firms in G7 and 167 in Brazil · AI adoption, barriers, cloud use, skills, business functions and policy needs
Understand support-team adoption and buyer expectations for customer-service and AI support products.
Coverage: Support professionals in North America, EMEA, Latin America and APAC · AI maturity, support workflows, team roles and customer-service investment
Observe external software adoption and spending when researching SaaS categories and AI products.
Coverage: More than 70,000 U.S. businesses across multiple industries · Software and AI vendor adoption, spend per employee, vendor overlap and hiring patterns
Track business conditions and technology adoption by industry or firm size for market and audience research.
Coverage: United States; national, sector, subsector, employment-size, state and metro tables · Business outlook, employment, revenue, prices, operations and special topic modules including AI
Compare free-to-paid funnel assumptions and identify experiments for self-serve or hybrid SaaS.
Coverage: 200 B2B software products; geographic composition not stated · Trial and freemium mix, signup-to-paid conversion, pricing, marketing channels and sales touchpoints
Compare business AI adoption across European markets and sectors when estimating audience readiness.
Coverage: European Union; enterprises with 10+ employees and self-employed persons · AI adoption by country, industry, enterprise size and technology category
Understand platform-team priorities and IDP measurement when building infrastructure or developer productivity products.
Coverage: 100+ global platform-engineer respondents; country breakdown not stated · Priorities, cloud environments, cost practices, metrics, tooling and internal developer platforms
Research observability buyer challenges and product expectations across engineering teams.
Coverage: 407 DevOps leaders, SREs, platform architects and engineering leaders; 20+ industries · Observability tool stacks, setup friction, integration and AI feature preferences
Source AI product and market research with an annual evidence compilation and chapter references.
Coverage: Global; source and geographic scope vary by chapter · AI technical performance, economics, policy, investment, labor and public opinion
Benchmark public web performance and investigate technical quality signals for web products.
Coverage: Global Chrome user population; eligible URL and country coverage depends on sample thresholds · Monthly field metrics for eligible origins and URLs, including Core Web Vitals
Track security requirements and exploited-vulnerability signals from an authoritative curated catalog.
Coverage: U.S. government catalog of vulnerabilities known to be exploited in the wild; affected products are global · CVE, vendor/product, vulnerability, date added, due date and action notes
Add business outlook context to market research and compare expectations across firms and industries.
Coverage: United States; broad firm-size and industry coverage except agriculture and government · One-year-ahead employment and sales expectations and uncertainty distributions
Understand support-buyer expectations when researching SaaS support and service products.
Coverage: Consumers and CX leaders; detailed country coverage is in the report · Customer expectations, service resolution, AI use, trust and support channels
Research buyer trust and technology expectations for AI-enabled SaaS and customer-facing products.
Coverage: More than 16,000 consumers and business buyers worldwide · AI expectations, customer trust, buying behavior and service preferences
Study developer ecosystem direction and technology adoption signals for developer tools and integrations.
Coverage: Global GitHub platform population; limited to activity represented on GitHub · Developer growth, repository activity, languages, AI, open source and collaboration
Compare private-company SaaS operating assumptions when planning growth, pricing or sales efficiency.
Coverage: Hundreds of private SaaS companies; detailed geographies are described in the report · Growth, profitability, operating performance, expectations and AI themes
Compare innovation activity across industries and countries when researching technical markets or vertical SaaS opportunities.
Coverage: The 2026 release covers 33 OECD members and seven partner/accession economies; indicator coverage varies · Around 80 indicators on product and process innovation, collaboration, skills, turnover, inputs and outcomes