医疗AI解决方案
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上海万怡医学科技股份有限公司(H0271) - 申请版本(第一次呈交)
2025-12-31 16:00
的申請版本 警 告 本申請版本乃根據香港聯合交易所有限公司(「聯交所」)與證券及期貨事務監察委員會(「證監會」)的要求而刊發, 僅用作提供資訊予香港公眾人士。 本申請版本為草擬本,其內所載資料並不完整,亦可能會作出重大變動。 閣下閱覽本文件,即代表 閣下知悉、 接納並向本公司、其保薦人、聯席整體協調人、顧問或包銷團成員表示同意: 本公司招股章程根據香港法例第32章《公 司(清 盤 及 雜 項 條 文)條 例》與 香 港 公 司 註 冊 處 處 長 登 記 前,本 公 司 不 會 向 香 港 公 眾 人 士 提 出 要 約 或 邀 請。倘 於 適 當 時 候 向 香 港 公 眾 人 士 提 出 要 約 或 邀 請,準 投 資 者 務 請 僅 依 據 呈 交 香 港 公 司 註 冊 處 登 記 的 本 公 司 招 股 章 程 作 出 投 資 決 定;有 關 文 本 將 於 發 售 期 內 向 公 眾 刊 發。 (a) 本文件僅為向香港公眾人士提供有關本公司的資料,概無任何其他目的;投資者不應根據本文件中的資料 作出任何投資決定; (b) 在聯交所網站登載本文件或其補充、修訂或更換附頁,並不引起本公司、其任何保薦人 ...
2025年中国医疗AI解决方案行业政策、产业链、市场规模、细分产品结构、竞争格局、代表企业经营现状及发展趋势分析研判:应用广泛且持续深入,市场格局愈加多元化[图]
Chan Ye Xin Xi Wang· 2025-12-11 01:34
Core Insights - China is a significant market for global medical AI solutions, benefiting from technological advancements, high-quality medical data accumulation, supportive national policies, and growing market demand, leading to rapid growth in AI applications in healthcare [1][4]. Market Size and Growth - The market size for medical AI solutions in China is projected to grow from 9.1 billion yuan in 2021 to 16.4 billion yuan in 2024, with L1 solutions increasing from 5.8 billion yuan to 9.4 billion yuan, L2 solutions from 3.3 billion yuan to 6.9 billion yuan, and L3 solutions at 0.1 billion yuan [1][4]. - By 2025, the market size is expected to reach 18.2 billion yuan, with L1 solutions at 9.8 billion yuan, L2 solutions at 7.8 billion yuan, and L3 solutions at 0.6 billion yuan [1][4]. Industry Definition and Applications - Medical AI solutions utilize AI technologies such as machine learning, deep learning, natural language processing, and big data analysis to enhance various medical processes, including diagnosis, treatment, drug development, and hospital management [2][3]. - The industry is evolving from L1 and L2 solutions, which provide supportive insights, to L3 and L4 autonomous agents capable of executing tasks independently [2][3]. Industry Development Status - The integration of general large model capabilities with medical knowledge bases is driving the transition of medical AI solutions towards higher levels of autonomy [3][4]. - The global market for medical AI solutions is expected to grow from 23.2 billion yuan in 2021 to 40 billion yuan in 2024, with L1 solutions increasing from 13.9 billion yuan to 21.1 billion yuan, L2 solutions from 9.3 billion yuan to 18.7 billion yuan, and L3 solutions at 0.2 billion yuan [4]. Industry Chain - The medical AI solutions industry chain includes upstream data supply, hardware providers (chips, servers), cloud services, operating systems, and algorithms, with midstream companies providing AI solutions and downstream applications in healthcare institutions, pharmaceutical companies, and individual patients [5]. Policy Environment - The Chinese government has prioritized the application of AI in healthcare, implementing policies to support AI in medical diagnosis, health management, and insurance regulation, which are expected to accelerate the development of AI in healthcare [5]. Competitive Landscape - The industry features a competitive landscape with local giants, vertical startups, and multinational companies. Key players include iFlytek Medical, Baidu, United Imaging, CloudWalk, Weining Health, and Mindray Medical [7]. - iFlytek Medical is a leading company in the AI healthcare sector, leveraging its large model to empower various healthcare stakeholders and has developed comprehensive AI solutions for hospitals and primary care institutions [9][11]. Revenue Structure of Key Players - iFlytek Medical reported a revenue of 299 million yuan in the first half of 2025, with contributions from various solutions: 84 million yuan from primary care solutions, 58 million yuan from regional solutions, 53 million yuan from hospital solutions, and 104 million yuan from patient management services [11]. - The company aims to build a robust B-end ecosystem to strengthen its commercial channels [9]. Future Trends - The development of the medical AI industry will be driven by a combination of technology, data, scenarios, and regulation, leading to a more mature, deeper, and broader market landscape [12].