HomeTechnologyCloudflare releases 2025 Radar Year in Review report: Outlines AI growth, global internet traffic and cyber threats

Cloudflare releases 2025 Radar Year in Review report: Outlines AI growth, global internet traffic and cyber threats

Cloudflare’s 2025 Radar Year in Review outlines how global internet traffic grew sharply, AI crawlers reshaped the web, post-quantum encryption expanded, and large-scale cyberattacks intensified across regions.

December 16, 2025 / 17:26 IST
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Cloudflare
Cloudflare

Cloudflare has released its 2025 Radar Year in Review report, offering a detailed look at how the internet evolved over the year based on traffic observed across its global network. The report draws on data from January 1 to December 2, 2025, covering traffic, AI activity, adoption trends, connectivity issues, security incidents, and email threats. According to Cloudflare, the review reflects insights gathered from handling tens of millions of HTTP requests and DNS queries per second across more than 125 countries.

Global internet traffic and usage trends
The report shows that global internet traffic grew by 19% in 2025, with growth accelerating from August onward. Traffic remained largely flat during the first half of the year before increasing steadily through September, October, and November. Several regions recorded sharp spikes driven by infrastructure changes, satellite internet adoption, and temporary disruptions such as government-imposed shutdowns and natural disasters.

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Cloudflare also noted that Starlink traffic more than doubled globally in 2025, with rapid increases following service launches in over 20 new countries and regions. In countries where Starlink was already active before 2025, traffic growth remained significant, indicating broader adoption of satellite-based connectivity.

AI crawlers and bot activity
Artificial intelligence played a central role in shaping internet traffic patterns during 2025. The report highlights that crawl volume from Googlebot, which serves both search indexing and AI training purposes, far exceeded that of other AI crawlers. AI “user action” crawling, driven by bots that fetch pages in response to chatbot queries, increased more than fifteen times over the year.