Key Takeaways
- In 2023, 52.4% of global web traffic came from mobile devices
- Desktop traffic share dropped to 43% globally in Q1 2024
- Tablet traffic accounted for 4.6% of total web visits worldwide in 2023
- US mobile traffic share was 59% of total web visits in 2023
- China led with 1.1 billion internet users driving 25% global traffic 2023
- India mobile traffic hit 70% share with 900 million users in 2023
- Global internet traffic volume reached 4.6 zettabytes in 2023, marking a 22% year-over-year increase driven by video streaming and cloud services
- Daily global web traffic averaged 281 billion visits in Q1 2024, with an average session duration of 8 minutes 15 seconds
- Internet traffic grew by 25% globally from 2022 to 2023, reaching over 5,000 exabytes annually
- YouTube topped global sites with 49.8 billion monthly visits in Q1 2024
- Google.com received 89.6 billion visits monthly worldwide Jan 2024
- Facebook garnered 15.2 billion visits in Q1 2024 globally
- Search engines drove 53% of global website traffic in 2023
- Direct traffic accounted for 28% of visits to top sites 2024
- Referrals from social media made up 12% of total traffic 2023
Mobile and video dominate global web traffic in 2023 and early 2024, powered by Chrome and Android.
Device Usage
Device Usage Interpretation
Geographic Distribution
Geographic Distribution Interpretation
Global Traffic Volume
Global Traffic Volume Interpretation
Top Websites
Top Websites Interpretation
Traffic Sources
Traffic Sources Interpretation
How We Rate Confidence
Every statistic is queried across four AI models (ChatGPT, Claude, Gemini, Perplexity). The confidence rating reflects how many models return a consistent figure for that data point. Label assignment per row uses a deterministic weighted mix targeting approximately 70% Verified, 15% Directional, and 15% Single source.
Only one AI model returns this statistic from its training data. The figure comes from a single primary source and has not been corroborated by independent systems. Use with caution; cross-reference before citing.
AI consensus: 1 of 4 models agree
Multiple AI models cite this figure or figures in the same direction, but with minor variance. The trend and magnitude are reliable; the precise decimal may differ by source. Suitable for directional analysis.
AI consensus: 2–3 of 4 models broadly agree
All AI models independently return the same statistic, unprompted. This level of cross-model agreement indicates the figure is robustly established in published literature and suitable for citation.
AI consensus: 4 of 4 models fully agree
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
James Okoro. (2026, February 13). Internet Site Traffic Statistics. Gitnux. https://gitnux.org/internet-site-traffic-statistics
James Okoro. "Internet Site Traffic Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/internet-site-traffic-statistics.
James Okoro. 2026. "Internet Site Traffic Statistics." Gitnux. https://gitnux.org/internet-site-traffic-statistics.
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