Key Takeaways
- Print newspaper circulation down 70% since 2005 US
- US digital news subs 30 million in 2023
- E-book market $14.6 billion globally 2023
- Global news media revenue $300 billion in 2023
- 86% of Americans get news from digital sources 2024
- TV news reaches 44% of US weekly audience 2024
- Global social media users reached 5.17 billion in 2024
- Average daily social media time worldwide is 2 hours 23 minutes in 2024
- 62.6% of world population active on social media in 2024
- 82% of internet users watch online videos daily 2024
- Netflix 269.6 million paid subscribers worldwide Q1 2024
- Global SVOD revenue $50 billion in 2023
- In 2023, global average daily TV viewing time was 3 hours 12 minutes
- US adults spent 2.75 hours per day on TV in Q1 2024, down 4% YoY
- UK linear TV viewing reached 2 hours 52 minutes daily average in 2023
Digital news and streaming dominate, while print circulation plunges and audiobook and e book consumption rises.
Digital Reading and Print
Digital Reading and Print Interpretation
News Consumption
News Consumption Interpretation
Streaming and Video-on-Demand
Streaming and Video-on-Demand Interpretation
Television Viewing
Television Viewing 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.
Marcus Engström. (2026, February 13). Media Consumption Statistics. Gitnux. https://gitnux.org/media-consumption-statistics
Marcus Engström. "Media Consumption Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/media-consumption-statistics.
Marcus Engström. 2026. "Media Consumption Statistics." Gitnux. https://gitnux.org/media-consumption-statistics.
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