The report, based on big data analysis from over 75,000 developers, 1 billion transactions, and $11 billion in annual revenue on its platform, shows that although only 27.1% of apps have integrated AI technology, this proportion is growing rapidly. Among them, photo and video categories lead with a 61.4% share, while games and travel sectors have lower penetration rates.
The core data shows that the median annual retention rate for AI-driven apps is only 21.1%, significantly lower than the 30.7% for non-AI apps; their monthly retention rate is also only 6.1%, lagging behind the 9.5% of non-AI apps. This "high attrition" characteristic is particularly evident in subscription cancellation rates, where AI app users cancel annual subscriptions 30% faster than traditional apps, and the median refund rate is 20% higher. However, in terms of monetization efficiency, AI apps show strong explosive power, with a trial conversion rate (8.5%) that is 52% higher than non-AI apps, and a download monetization rate that is about 20% higher. Additionally, the actual lifetime value (RLTV) generated by paying users in both monthly and annual terms is significantly higher than that of traditional apps.
This "high conversion, low retention" discrepancy reflects that the current AI app market is still in a technology-driven trial phase, where users tend to quickly switch between different products to seek the latest technology, leading to more volatile revenue and experience bottlenecks for apps. From an industry perspective, AI integration is no longer just a guarantee of profitability. How to shift from initial traffic harvesting to deep user value retention will become a key challenge for AI app developers in the next phase of competition.