Internet infrastructure · Internet, technology, browser, and platform adoption data
Cloudflare Radar: coverage and access
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.
What it covers
Geography and granularity
Geography: Use the geography stated by the source; coverage can vary by dataset and release.
Granularity: Track regional and temporal signals for browsers, operating systems, protocols, Internet services, outages, and AI-related traffic.
Source type: Internet, technology, browser, and platform adoption data
Potential use
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.
Access and cost
Web, download, or API
Public dashboards, downloadable graphs/images, direct downloads, and Radar API endpoints; graphs/images are CC BY 4.0, while API/direct-download data is CC BY-NC 4.0.
Cost: Current price was not established in this review; check the provider's access terms.
Update cadence: Release cadence was not normalized in this review; check the source's dates, update notes, and API limits before comparing periods.
- Provider page ↗
- Documentation and access details ↗Check the provider's current terms and instructions before use
Interpret carefully
Limits that affect the decision
It is a Cloudflare/1.1.1.1-derived vantage point rather than a census of all Internet users; non-commercial restrictions apply to API/direct-download data.
Release cadence was not normalized in this review; check the source's dates, update notes, and API limits before comparing periods.
This record summarizes source documentation; Jon Bishop did not conduct an independent audit of the underlying dataset.