Key Takeaways
- Global pornography industry revenue estimated at 100 billion USD annually
- Pornhub receives 130 million visits daily
- 30% of internet bandwidth used for porn
- Global pornography industry revenue estimated at $97 billion per year
- U.S. porn industry revenue around $10-15 billion annually
- Online porn accounts for 70% of industry revenue
- Porn linked to 20% divorce cases
- 56% of porn performers have STIs at some point
- Pornhub removed 13 million illegal videos in 2023
- Pornhub uploads 13 million videos yearly
- Average porn video length 10-15 minutes
- 90% of porn is amateur content now
- U.S. male porn stars average age 34
- 70% of porn viewers are men aged 18-34
- Women 35% of Pornhub audience
Porn dominates online life with $100 billion annual revenue, huge daily traffic, and 70 percent of viewers on mobile.
Consumption Statistics
Consumption Statistics Interpretation
Economic Statistics
Economic Statistics Interpretation
Industry Impacts
Industry Impacts Interpretation
Production Statistics
Production Statistics Interpretation
User Demographics
User Demographics 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.
David Sutherland. (2026, February 13). Porn Industry Statistics. Gitnux. https://gitnux.org/porn-industry-statistics
David Sutherland. "Porn Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/porn-industry-statistics.
David Sutherland. 2026. "Porn Industry Statistics." Gitnux. https://gitnux.org/porn-industry-statistics.
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