Key Takeaways
- In 2023, Google Play had over 3.5 million apps available for download worldwide, marking a 5% increase from 2022.
- Non-gaming apps on Google Play saw 45 billion downloads in 2022.
- Productivity apps on Google Play grew 18% in installs during 2023.
- Over 1.2 million developers published apps on Google Play in 2023.
- Google Play's total downloads reached 110.6 billion in 2022, representing 70% of global mobile app downloads.
- Brazil led Google Play downloads with 7.5 billion in 2022.
- India contributed 25% of global Google Play downloads in 2023.
- Google Play Games category accounted for 15.2% of all downloads in Q4 2023.
- 85% of the top 1000 grossing apps on Google Play are games.
- Action games dominated Google Play with 28% of gaming downloads in 2023.
- Google Play's market share in app stores was 48.4% of total revenue in 2023.
- Google Play's share of global app revenue was 52% in Q1 2024.
- Google Play's ARPU in mature markets was $2.10 in 2023.
- Android users via Google Play spent $48 billion on apps and in-app purchases in 2022.
- In 2023, Google Play's revenue from subscriptions grew by 22% to $15.6 billion.
Google Play scaled to 255 billion installs in 2023, with strong growth in productivity, health, and subscriptions.
Related reading
App Availability
App Availability Interpretation
Developer Statistics
Developer Statistics Interpretation
Download Statistics
Download Statistics Interpretation
Game Statistics
Game Statistics Interpretation
More related reading
Revenue Metrics
Revenue Metrics Interpretation
User Base
User Base 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.
Christopher Morgan. (2026, February 13). Play Statistics. Gitnux. https://gitnux.org/play-statistics
Christopher Morgan. "Play Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/play-statistics.
Christopher Morgan. 2026. "Play Statistics." Gitnux. https://gitnux.org/play-statistics.
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