中国基金报·2026-01-19 08:13Core Insights - The monthly active users (MAU) of securities apps reached 175 million in December 2025, marking a 1.75% month-on-month increase and a 2.26% year-on-year increase, achieving a new monthly high for the year [4][3] - Throughout 2025, the MAU of securities apps experienced a recovery after a dip in the middle of the year, with a significant rebound in November leading to a peak at year-end [4][2] - The competition for traffic between third-party platforms and brokerage self-operated apps intensified, with brokerages accelerating the integration of AI technology in advisory and trading scenarios to enhance service models and user experience [4][12] Monthly Active Users Overview - In December 2025, the MAU for securities apps was 175.32 million, with notable monthly changes: November had 172.30 million (up 2.06% month-on-month) and October had 168.82 million (down 3.38% month-on-month) [5][4] - The MAU trend for 2025 showed a starting point of 161.84 million in January, peaking in December after a recovery phase post-May [4][5] Leading Apps and Market Dynamics - The top three securities apps by MAU in December were Tonghuashun (36.70 million), Dongfang Caifu (18.22 million), and Dazhihui (12.97 million) [6][5] - Among brokerage self-operated apps, Huatai's Zhangle Wealth reached over 12 million MAU, followed by Guotai Haitong Junhong with 10.40 million [6][5] - The number of brokerage apps with an average monthly active user count exceeding 6 million increased to 14 in 2025, indicating a growing concentration in the market [8][7] AI Technology Integration - The application of AI technology in the securities industry has accelerated, with multiple brokerages launching intelligent tools across key areas such as intelligent research, trading, and advisory services [12][11] - Notable advancements include the upgrade of trading robots by Galaxy Securities and the introduction of AI advisory platforms by various brokerages, enhancing service efficiency and user experience [13][12] - Despite the current limitations of AI tools in guaranteeing stable investment returns, their functionality is expanding, addressing various investment challenges and improving investors' capabilities in data analysis and strategy formulation [12][13]