Key Takeaways
- In 2023, 4.88 billion people worldwide used mobile apps, representing 60.5% of the global population
- 58% of mobile app users globally are under 35 years old as of 2023
- Women account for 51% of mobile app users in the United States in 2023
- Global mobile app users averaged 3.5 hours daily in 2023
- Users opened apps 9 times per day on average worldwide in 2023
- 90% of mobile internet time spent in apps, not browsers, 2023 data
- Daily active users (DAU) for top apps average 50 million globally, 2023
- Average time to first app open after install is 2 hours, 2023 data
- 45% of users share content from apps weekly, social sharing, 2023
- Day 1 retention averages 25.5% globally for iOS apps, 2023
- 80% of users churn within 3 days of install, 2023 industry avg
- Re-engagement campaigns recover 15% of churned users, 2023
- In-app purchases (IAP) revenue hit $167B globally in 2023
- Subscriptions generated 18% of app revenue, $48B in 2023
- Ads accounted for 65% of non-gaming app revenue, 2023
Mobile apps are dominated by young, urban global users who engage with them constantly.
Demographics
Demographics Interpretation
Engagement and Behavior
Engagement and Behavior Interpretation
Monetization and Revenue
Monetization and Revenue Interpretation
Retention and Acquisition
Retention and Acquisition Interpretation
Usage Statistics
Usage Statistics 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.
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.
Margot Villeneuve. (2026, February 13). App User Statistics. Gitnux. https://gitnux.org/app-user-statistics
Margot Villeneuve. "App User Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/app-user-statistics.
Margot Villeneuve. 2026. "App User Statistics." Gitnux. https://gitnux.org/app-user-statistics.






