OPPO Xiaobu Suggestions' September active users grew 139.9% year-on-year, the fastest growth among terminal system-level AI applications
QuestMobile's "2026 Q3 AI Application Market Development Report" shows that in September 2026, the active user scale of OPPO Xiaobu Suggestions grew 139.9% year-on-year, with its growth rate ranking first among terminal system-level AI applications. Its average monthly usage per user grew 214.3% year-on-year and average monthly usage duration per user grew 185.0% year-on-year, making it the only product among the system-level AI applications covered in the report to record positive growth in average monthly usage per user. The report notes that growth opportunities for smartphone manufacturers' AI are shifting from traditional AI assistants to AI capabilities proactively delivered by the system.
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OPPO Xiaobu Suggestions' monthly active users grew 139.9% year-on-year in September, the fastest growth among terminal system-level AI applications. Phoenix Tech Download the app for exclusive early access. November 02, 2026 16:58:43 From Beijing. Updated November 02, 2026 16:58:25
Phoenix Tech News (Authors/Yang Ruiqi, Yun Fei) On November 2, QuestMobile recently released the "2026 Q3 AI Application Market Development Report." Data shows that in September 2026, the active user scale of OPPO Xiaobu Suggestions grew 139.9% year-on-year, with its growth rate ranking first among terminal system-level AI applications; average monthly usage per user grew 214.3% year-on-year, and average monthly usage time per user grew 185.0% year-on-year, making it the only product among the system-level AI applications covered in the report to achieve positive growth in average monthly usage per user.
The report points out that the growth opportunities for smartphone manufacturers' AI are shifting from traditional AI assistants to AI capabilities proactively delivered by the system. Scenario suggestion-type AI applications explore new growth paths by identifying the context users are in and proactively pushing services, without changing users' existing behavioral habits.