On May 14, global mobile app analytics platform Sensor Tower released its 2026 Global AI App Trends Report. According to the report, AI Catch, an AI video app developed by QuVideo, ranked among the global Top 10 in both revenue and downloads in the Q1 2026 AI Image & Video Generation App rankings.
Sensor Tower noted that between 2023 and 2026, the global AI image and video generation app market experienced rapid growth in both revenue and downloads, making it one of the fastest-growing segments within the AI industry.
Notably, the report focuses exclusively on AI-Native Generative AI Apps — applications built from the ground up around generative AI models, where core workflows and value creation are fundamentally driven by AI.
As one of QuVideo's flagship products for the AI-native era, AI Catch is designed for mainstream global users and centers around the idea of enabling users to easily recreate viral social media content. By offering a wide range of AIGC templates across scenarios such as stylized portraits, family interactions, and festive moments, the app allows users to generate trendy short videos with a single tap simply by uploading and replacing materials.
Currently, AI Catch has achieved steady growth across overseas markets including the United States, Brazil, Japan, South Korea, and other regions. The app previously topped both the App Store and Google Play overall rankings in Brazil with its "Family Portrait" feature, while localized creative dance templates also gained strong traction in in Arabic-speaking markets in the Middle East, demonstrating scalable cross-market content adaptation capabilities.
Sensor Tower also highlighted in the report that generative AI has entered a phase of exponential growth, with global mobile app revenue increasing 232% year-over-year to US$6.1 billion over the past year. The U.S. market continues to dominate, while Japan, South Korea, and broader Asia-Pacific markets remain key growth regions for globally expanding AI products.
The report further emphasized that vertical scenario specialization, localized operations, and precision user acquisition are becoming increasingly important competitive factors in the global AI app landscape.