Core Insights - The AI application market is experiencing rapid growth, with mobile and PC active user counts reaching 729 million and 200 million respectively by September 2025 [3][4][20] - Major companies are shifting focus from parameter competition to ecosystem collaboration, optimizing models to meet customer needs and expand application scenarios [4][9] - The In-App AI plugin model has become the leading growth driver, with 31 out of the top 50 AI applications being plugins [4][5][24] Market Overview - By September 2025, the mobile AI application market has surpassed 700 million users, with native apps, In-App AI, and mobile manufacturer AI assistants reaching 287 million, 706 million, and 535 million users respectively [20][9] - The growth of mobile applications is supported by a stable head of native apps, while the PC web applications face challenges, with over 75% experiencing growth difficulties [5][60] User Engagement - The average usage time for native AI applications is 117.7 minutes, significantly higher than In-App AI plugins at 31 minutes and mobile manufacturer AI assistants at 5.3 minutes [6][24] - The top AI applications show a stable user base, with notable growth in vertical applications like AQ and Doubao, which have seen substantial increases in active users [6][38] Competitive Landscape - The competitive landscape is solidifying, with nearly 60% of native apps experiencing negative growth, indicating a narrowing window for new entrants [31][34] - Vertical applications are thriving, with AQ, Doubao, and Jimeng AI showing impressive growth rates of 83.4%, 15.7%, and 12.1% respectively [38][40] Ecosystem Development - The MCP services have reached 9,384, facilitating ecosystem collaboration and marking a new phase of commercialization in the AI industry [4][9][80] - Companies are focusing on integrating AI into business scenarios, enhancing user experience through seamless service delivery [70][72] Future Trends - The AI market is transitioning from a focus on broad capabilities to specialized, efficient solutions, with a significant increase in model updates and iterations [16][18] - The integration of payment capabilities is seen as a key milestone for the commercialization of AI applications, paving the way for an "AI as a service" economy [85][87]