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迈瑞医疗(300760) - 2025年10月31日-12月31日投资者关系活动记录表
2025-12-31 06:45
深圳迈瑞生物医疗电子股份有限公司 投资者关系活动记录表 证券代码:300760 证券简称:迈瑞医疗 编号:2025-008 深圳迈瑞生物医疗电子股份有限公司 投资者关系活动记录表 | | 特定对象调研 □分析师会议 | | --- | --- | | | □媒体采访 □业绩说明会 | | 投资者关系 | □新闻发布会 路演活动 | | 活动类别 | 现场参观 | | | 其他 电话会议、券商策略会等 | | 参与单位名 | | | 称及人员姓 | 家机构 名参与人员,详见附件清单。 204 484 | | 名 | | | | 年 月 日、11 月 日、11 月 日、11 月 日、11 月 2025 10 31 4-7 10-14 17-21 | | 时间 | 月 月 月 月 日、 24-28 日、12 1-5 日、12 9-11 日、12 16-19 日、12 22-26 | | | 月 日 12 29-31 | | | 深圳市南山区高新技术产业园区科技南十二路迈瑞大厦 | | 地点 | 投资人办公室、券商策略会会场 | | 上市公司接 | 董事会秘书 李文楣 | | 待人员姓名 | 投资者关系团队 ...
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].