The Apple App Store brought developers $1.4 trillion in sales—three times more than in 2019.

The Apple App Store brought developers $1.4 trillion in sales—three times more than in 2019.

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Apple News Summary (2025)

What it looks like: Overall App Store turnover More than $1.4 trillion in revenue and sales for developers worldwide. Commissions In more than 90% of cases, developers do not pay Apple any fees. Platform growth Since 2019 the ecosystem volume has tripled. AI in top apps 40 out of 100 App Store leaders include user‑centric artificial intelligence features.

Segment details
Metric Value Comment
Physical goods and services $1.1 trillion Growth driven by product stores, food delivery, retail, and tourism.
Digital goods/services (games, enterprise software, streaming) $149 billion Includes entertainment and business apps.
In‑app advertising $151 billion Largest source of revenue from in‑app monetization.
Weekly App Store audience 850 million users Available in 175 countries/regions. Users more often download apps for shopping, work, health, and communication.

Role of artificial intelligence
* Health and fitness apps – personalized AI‑based recommendations.

* Creative tools – cloud AI is used for photo editing and other tasks.

* Apple frameworks – Foundation Models and the Apple Intelligence package enable running local models offline, and Xcode 26 supports AI agents to accelerate development.

Regional sales growth
Country/region 6‑year change China Sales doubled United States and Europe Tripled more than
Segment leaders:

* Retail dominates all regions.

* Travel is the second most popular segment in the U.S., Europe, Japan, Australia, New Zealand, and Brazil.

* Food delivery ranks second in Korea; in China the second and third spots are supermarket goods and food delivery respectively.

Conclusion
The App Store ecosystem continues to grow, with most revenue staying with developers thanks to low commissions. Artificial intelligence is becoming a key element both in user apps and development tools, while regional differences show where users are most actively using the platform.

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