广发证券表示，晶泰定位为AI驱动药物研发的第三方服务商，同时服务于药企与Biotech公司，管线以 合作为主，强调技术中立性，而非把客户锁在某个大药厂的生态里，对客户来说更像是技术供应商。基 于数据安全与生态考虑，药企和Biotech公司更倾向与独立的第三方厂商合作，因此，像晶泰这样的第 三方AI制药平台有望成为行业的基础设施角色。随着AI在药物发现过程中的渗透加深，第三方平台的 价值将持续放大，长期来看，其商业模式更具可持续性，潜在市场空间也更大。 消息面上，今年8月份，晶泰控股公布与DoveTree合作协议最新细则，有望获得最高58.9亿美元里程碑 付款，创下AI新药研发领域订单规模的新纪录。9月，公司完成新一轮配售筹集26.53亿港元，将用于产 品迭代升级与研发能力提升，主要包括机器人实验室技术升级、AI平台能力升级以及新型模态平台打 造，以及产品商业化与业务拓展、投资收购、人才引进与资金补充。 晶泰控股(02228)午后拉升逾7%，月内累计涨幅已超40%。截至发稿，涨7.6%，报14.44港元，成交额 17.51亿港元。 ...

Core Insights - The Chinese AI healthcare industry has undergone significant changes from 2015 to 2025, evolving from initial exploration to differentiated tracks, driven by technological breakthroughs and capital investment [1][2][4] Group 1: Capital Trends - The AI healthcare sector in China experienced a rapid increase in investment from 2015 to 2021, with a peak in financing events and amounts, particularly around 2021 [2][4] - Post-2021, there has been a notable decline in both the number of financing projects and total financing amounts, indicating a cooling off in the capital market's enthusiasm for AI healthcare [4][6] - The financing rounds before 2021 showed high activity across all stages, while from 2022 onwards, early and late-stage financing became more prominent, with a significant drop in mid-stage financing events [6][7] Group 2: Sector Focus - AI-enabled medical diagnostics led the sector with 383 financing events, followed by AI-enabled drug development with 270 events, indicating a strong capital preference for these areas [8][12] - Other categories such as AI-enabled treatment and operations, medical devices and hardware, and health management received significantly less investment, highlighting a concentration of resources in diagnostics and drug development [8][12] Group 3: Investment Institutions - Top investment institutions in the AI healthcare sector include Sequoia China, Wuyuan Capital, and Qiming Venture Partners, with Sequoia leading with 37 investment events [20][22] - The investment focus of these institutions is heavily skewed towards AI-enabled drug development (60.5%) and medical diagnostics (25%), reflecting a preference for clear business models and strong commercialization potential [22][24] - The majority of investments occurred in the A and B rounds, indicating a trend towards supporting companies that have demonstrated early technological validation and initial commercialization [24][28] Group 4: Government and Policy Support - Government support for the AI healthcare industry has been robust, with over 20 policies aimed at promoting innovation, expediting approval processes, and encouraging data sharing [52] - The concentration of financing events in regions like Beijing, Shanghai, and Guangdong indicates the emergence of innovation hubs and capital aggregation effects in the AI healthcare sector [52] Group 5: Star Projects and Market Growth - Notable star projects in the AI healthcare sector include companies like Jingtaikeji and Yingshi Intelligent, which have achieved significant technological and commercial success [44][47] - The AI pharmaceutical market is projected to grow significantly, with a compound annual growth rate (CAGR) of 30.45% globally and 53.01% in China from 2019 to 2024 [49] - AI healthcare companies are experiencing revenue growth rates that significantly outpace traditional healthcare, with some companies achieving annual growth rates exceeding 50% [50]