编者按： 岁末将至，站在2025年的时间节点回望，技术浪潮的奔涌、消费需求的变迁、商业模式的迭代，构成了全新的商业图景。连线Insight推出年终 盘点专题系列，试图捕捉不同企业在这幅变局图景中，如何应对挑战、抓住机遇。本期为第一篇，关注大健康行业。 当人们谈论"健康"，人们究竟在谈论什么？ 是体检报告上的指标，是一种远离医院的生活状态，还是一个能随时解答焦虑AI医生。 如今的大健康行业，所有参与者都在试图重新定义这个问题的答案。 在中国，20万亿元级的大健康市场正处于数字化、智能化转型的关键期。不仅有蚂蚁、京东等互联网企业布局，还有平安好医生、北电数智等企业入场。 这是需求推动的结果。过去几十年来，我国建立起全球最为庞大的医疗系统和医保体系。但随着我国人口老龄化加剧，看病难、看病贵等问题带来的供需 缺口进一步加大，也推动大健康行业进入新的阶段。 曾经跑马圈地的流量争夺赛早已落幕，一场围绕用户心智的精准角逐已然开启。一个确定性的行业共识时，行业未来的领跑者，是具备医疗生态整合能力 的全能型选手，即能利用技术和资源为患者提供普惠的医疗解决方案。 这背后，医疗大模型的规模化落地成为关键引擎，大模型赋能千行百业，百 ...

91 Q F 9 t m 0 8 F Q 中国最 x 7 ● C e ma F E FFF "I"|I .... Lo) Al 000 ปี (D 今天分享的是：人工智能+医疗专题：2025年医疗人工智能产业报告 报告共计：99页 《2025年医疗人工智能产业报告》聚焦医疗AI的价值计量与商业化破局，展现其在政策、技术与需求驱动下的发展态势。2024年中国医疗AI解决方案市场 规模达164亿元，预计2030年将增至353亿元，CAGR为13.63%，应用已覆盖临床专科、医技支撑、基层医疗等全场景。临床专科中，胸外科、心内科、骨 科、神外科、内分泌科等AI应用成熟，从诊断、手术规划到术后康复全流程赋能，提升诊疗效率与精准度，如骨科手术机器人实现复杂手术规模化落地， 内分泌科AI盘活慢病管理。医技科以影像科、放疗科、病理科、检验科为核心，AI通过自动分割、智能阅片、流程优化等功能，破解人力短缺与效率瓶 颈，其中影像科AI辅助诊断覆盖多病种，病理科大模型提升泛化能力与可解释性。基层医疗AI凭借政策支持与场景适配，率先实现商业化闭环，通过CDSS 等系统弥补人才缺口，推动分级诊疗落地。行业发展面临价值分歧、数据治理成 ...

今天分享的是：2025年医疗人工智能产业报告-蛋壳研究院 报告共计：99页 2025年医疗人工智能产业虽未实现规模化盈利，但发展势头强劲，2024年中国医疗AI解决方案市场规模达164亿元，预计2030 年将扩至353亿元，CAGR为13.63%。产业发展受资本、政策与医生三向驱动，大模型技术突破降低了应用门槛，头部医院纷 纷部署并参与专科模型研发，政策层面也出台多项举措明确发展路径。然而，产业仍面临价值分歧这一核心困局，患者疗效 与科室效益难以平衡，医院支付意愿和能力不足，商业化进程受阻。临床应用上，医疗AI已广泛渗透至胸外科、心内科、骨 科等临床专科及影像科、病理科等临床支撑科室，在诊断辅助、手术规划、流程优化等方面发挥重要作用，提升了诊疗效率 与精准度，降低了并发症发生率。基层医疗领域因政策支持与需求匹配，成为商业化相对成功的场景，AI有效弥补了基层人 才与能力缺口。数据资产化是产业可持续增长的关键破局路径，医疗数据治理智能化迭代降低了研发成本，数据场内交易与 可信数据空间建设推动了数据流通复用。深睿医疗、东软集团、京东健康等企业通过多模态大模型、智能化解决方案等创 新，在临床全流程赋能、科研转化、基层 ...

Investment Rating - The report does not explicitly provide an investment rating for the industry Core Insights - The digital home appliance industry is experiencing significant growth, with a projected retail sales figure of 608.7 billion yuan by 2025, reflecting a 14.9% increase [2] - The AI industry is shifting towards a "Results as a Service" (RaaS) model, which emphasizes quantifiable business outcomes and charges clients only upon achieving these results [2] - The humanoid robot sector is moving from isolated efforts to ecosystem collaborations, with leading companies investing in early-stage projects to enhance supply chain stability and expand application scenarios [4] - The AI video generation market is witnessing a divide between product-focused startups and ecosystem-oriented large companies, with the former facing challenges in monetization [4] - AI is at a pivotal point, transitioning from "human-machine collaboration" to "human-machine delegation," which will redefine job roles and organizational structures [5] - The pre-prepared food controversy has sparked interest in cooking robots, with B2B applications gaining traction despite slower consumer adoption [6] - AI advertising is becoming mainstream, with over 50% of advertisers utilizing AI-generated content, significantly reducing production costs [7] - The travel and local living sectors are leveraging AI to enhance service efficiency during peak travel periods, marking a shift from traffic acquisition to value creation [8] - The cloud computing market in China is undergoing a transformation driven by generative AI, with significant capital investments from aggressive players like ByteDance and Alibaba [14] - The mobile internet landscape is evolving, with major platforms seeing substantial user growth and increased competition in various sectors [14] Summary by Sections Industry Environment - The report highlights the release of a market trend report predicting a retail sales figure of 608.7 billion yuan for home appliances by 2025, driven by consumer segmentation and technological advancements [2] - The AI industry is transitioning to a RaaS model, focusing on measurable outcomes and value creation, with companies like Hengwei Technology leading the charge [2] - The humanoid robot industry is shifting towards collaborative ecosystems, with significant investments in early-stage projects to enhance supply chain stability [4] - The AI video generation sector is characterized by a split between product-focused startups and large companies emphasizing ecosystem development [4] - The AI landscape is evolving towards a model where human roles are redefined, emphasizing strategic oversight rather than direct task execution [5] - The cooking robot market is gaining traction in the B2B sector, driven by efficiency improvements despite slower consumer acceptance [6] - AI advertising is becoming prevalent, with over half of advertisers adopting AI-generated content, leading to significant cost reductions [7] - The travel and local living sectors are increasingly utilizing AI to enhance service efficiency, marking a shift in competitive strategies [8] - The cloud computing market is experiencing a transformation due to generative AI, with aggressive capital investments from leading players [14] - The mobile internet landscape is evolving, with major platforms experiencing significant user growth and competition intensifying across various sectors [14] Top Brand News - Alibaba Cloud launched the AgentOne platform, integrating AI capabilities into business processes to enhance operational efficiency [17] - Volcano Engine is leading the market in model-as-a-service (MaaS), with a significant increase in token usage indicating a surge in demand for AI capabilities [18] - Midea and Huawei have formed a strategic partnership to enhance their smart home ecosystem, focusing on AI and smart manufacturing [19] - OpenAI is making strides towards becoming a "computing empire" with significant cloud service contracts and plans for self-developed chips [20] - JD Health is advancing AI in healthcare, aiming to improve access to quality medical resources through innovative solutions [21] - The AI eyewear market is facing challenges, with Meta's new product failing to meet expectations, highlighting the industry's struggles with technology maturity [27] - The automotive industry is exploring AI integration, with a focus on smart transformation and collaboration across the supply chain [31] - Yushutech is preparing for an IPO, potentially becoming the first publicly listed humanoid robot company in China [32]

Core Insights - Douyin Group's healthcare brand, Xiaohé Health, has established Shanghai Xiaohé Network Technology Co., Ltd. to enhance its medical health ecosystem [1][3] - Xiaohé Health has developed an integrated online and offline business matrix, providing services such as online consultations and partnerships with medical institutions [3][6] - The establishment of Shanghai Xiaohé Network Company is expected to synergize with Douyin's online pharmaceutical business, supporting services like prescription reviews [8] Company Development - Xiaohé Health was officially established in September 2020, marking Douyin Group's entry into the healthcare sector [4] - The company has expanded its services by acquiring various medical institutions, including full ownership of Meizhong Yihe Medical Group and Beijing Meizhong Airi Oncology Hospital [5][6] - As of now, Xiaohé Health controls over 20 enterprises, achieving a closed-loop service model encompassing "medical examination, diagnosis, treatment, and medication" [6] Industry Trends - The internet healthcare market in China is projected to grow from 3,925 billion yuan in 2023 to 4,799 billion yuan by 2025 [10] - AI technology is becoming a core driver of internet healthcare development, with major companies like Alibaba and JD Health launching AI-driven healthcare applications [10][11] - The competitive landscape is evolving, with a focus on personalized healthcare services and the increasing involvement of younger demographics in health management [9]

Key Insights - The digital health sector is experiencing significant developments, including new listings and product launches, indicating a dynamic market environment [3][10][15]. Group 1: Company Developments - Good Doctor Cloud Medical has submitted an application for listing on the Hong Kong Stock Exchange, aiming to raise funds for national expansion and R&D [13]. - Health 160 has initiated its IPO process, with shares expected to start trading on September 17, 2025 [15]. - JD Health is set to open its first independent medical beauty store in October, with pre-sale transactions exceeding one million [19]. Group 2: Market Trends - The sales volume of Meituan's GLP-1 products has surpassed 200,000 orders, outpacing traditional pharmaceutical e-commerce [3]. - The medical beauty consumer demographic is increasingly young, with 55% of consumers aged 20-29, and the average age of current users is 32.8 years [7]. - The internet hospital count in China has reached 3,756, reflecting the government's efforts to improve healthcare accessibility [16]. Group 3: Financial Performance - 1药网 reported a revenue of 32 billion RMB for the second quarter of 2025, achieving continuous operational profitability [10]. -药易购's revenue declined by 3.06% year-on-year to 21.57 billion RMB, with a significant net loss reported [11]. -药师帮's revenue is projected to grow from 60.6 billion RMB in 2020 to 179.04 billion RMB in 2024, indicating a compound annual growth rate of 31.1% [9]. Group 4: Regulatory and Compliance Issues - 27 apps, including 康远大健康, were reported for violations by the Hebei Provincial Communications Administration, highlighting ongoing regulatory scrutiny in the digital health space [17]. - The compliance process for medical beauty products is accelerating, with home-use water light products being banned from promotion on live streaming platforms [20].

Core Insights - JD.com emphasizes the importance of industry application in AI development, aiming to create a trillion-scale AI ecosystem over the next three years [1][3] - The company has updated its understanding of AI value, defining it as the product of model, experience, and the square of industry depth [1][3] Industry Applications - JD.com has a strong foundation in various sectors such as retail, logistics, healthcare, and industrial supply chains, leveraging extensive data and operational experience [3][5] - The logistics sector has seen significant advancements with the launch of the upgraded logistics super brain model 2.0, improving operational efficiency by 15% and human-machine collaboration by 20% [5][6] - In retail, JD.com introduced the Oxygen AI architecture, enhancing e-commerce capabilities and personalizing user experiences through advanced recommendation systems [5][11] Healthcare Innovations - JD.com has developed the JD Medical Inquiry 2.0, which can interpret medical reports and simulate clinical reasoning, providing comprehensive support for complex medical conditions [6][12] - The JD Health AI Hospital 1.0 integrates various AI roles to offer services like AI-guided consultations and pharmacy management [6][12] Industrial Advancements - The JoyIndustrial model aims to revolutionize industrial supply chains, targeting a cost reduction potential of 6.77 trillion yuan through data-driven efficiencies [6][7] - JD.com has released nine industry-specific solutions to assist in achieving significant cost savings in the industrial sector [6][7] Ecosystem Development - JD.com is progressively opening its logistics and healthcare data to enhance B-end ecosystem capabilities and support industry model training [7][8] - The company has launched several platforms, including the digital human platform 4.0 and JoyAgent 3.0, to facilitate cost reduction and efficiency improvements for enterprises [7][8] AI Integration and User Experience - JD.com is focused on making AI accessible and user-friendly, with the upcoming "京犀" app designed to streamline shopping and service experiences through AI [11][12] - The "他她它" app allows users to create personalized digital assistants, showcasing the company's commitment to integrating AI into everyday life [12][13] Strategic Vision - JD.com aims to avoid the pitfalls of "technological stagnation" by rooting its AI strategy in industry needs and sustainable development [8][13] - The company's comprehensive approach to AI demonstrates that true value lies in practical applications that address real-world challenges [13]

Core Insights - The JD Discovery 2025 conference emphasized JD's commitment to building a trillion-scale AI ecosystem over the next three years, showcasing its comprehensive AI strategy and landscape [1][2]. Group 1: AI Value Proposition - JD has updated its understanding of AI value, proposing a new formula: AI value = model × experience × industry depth squared, focusing on sustainable development and real value creation for industries [2][5]. - The concept of "industry depth" is crucial, stemming from JD's extensive experience in retail, logistics, healthcare, and industrial sectors, which provides valuable assets beyond mere theoretical models [5][9]. Group 2: Sector-Specific Innovations - In logistics, JD introduced the upgraded Logistics Super Brain Model 2.0, enhancing operational efficiency with a 15% improvement in standardized operations and a 20% increase in human-machine collaboration efficiency [7]. - The retail sector unveiled the Oxygen AI architecture, which leverages the Joy AI model to create intelligent applications for e-commerce and supply chain management, enhancing user experience through personalized shopping [7][8]. - JD Health's AI hospital 1.0 and the upgraded JD Medical Inquiry 2.0 can interpret medical reports and simulate clinical reasoning, providing comprehensive services for complex medical conditions [8][9]. Group 3: Cost Reduction and Efficiency - The JoyIndustrial model aims to revolutionize industrial supply chains, potentially unlocking a cost reduction space of 6.77 trillion yuan through digitalization [9]. - JD is progressively opening its logistics and healthcare data to support industry model training and application testing, enhancing B-end ecosystem empowerment [9]. Group 4: User Interaction and Experience - The new AI product "Jingxi" integrates AI into the shopping process, allowing users to interact through voice commands for various services, indicating a shift towards a more conversational and intelligent shopping experience [14][15]. - The "He She It" app features a digital assistant capable of answering a wide range of queries and facilitating user interactions, showcasing JD's commitment to making advanced AI accessible to consumers [15][16]. Group 5: Strategic Direction - JD's approach to AI emphasizes practical applications rooted in industry needs, avoiding the pitfalls of mere technological hype and focusing on solving real-world problems [16].

Core Insights - JD.com is constructing a practical and closed-loop AI system, focusing on transforming its underlying logic centered around the supply chain rather than merely launching AI products [1][3] - The company aims to lead in the takeaway business by 2025, emphasizing a highly responsive supply chain supported by AI technologies [1][2] AI Strategy and Investment - At the JDD2025 conference, JD.com announced its AI panoramic strategy, committing to continuous investment over the next three years to create a trillion-scale AI ecosystem [2] - CEO Xu Ran introduced a new AI value formula: AI value = Model × Experience × Industry Depth, highlighting the importance of practical application and long-term value [2][10] Internal Deployment and Applications - Over 1,000 business scenarios have integrated large model systems, focusing on efficiency and conversion rates rather than the choice of model [2][4] - JD.com is developing AI applications that enhance user experience, such as the "He She It" app for daily tasks and the "JoyInside" platform for hardware integration [5][6] Consumer-Focused AI Innovations - JD.com is creating practical AI products for high-frequency scenarios like shopping and life services, with the "Xiangxi" app serving as a smart assistant [4][5] - The "AI Friends" feature aims to foster ongoing interactions between users and AI, emphasizing companionship rather than replacement [5] B2B AI Integration - JD.com is embedding AI into its core business operations, using real scenarios to validate technology value before offering it to other industries [7][9] - The launch of the "Oxygen" AI technology architecture aims to empower consumers, supply chains, and developers, enhancing the shopping experience [7][8] Logistics and Supply Chain Enhancements - JD.com has deployed over 500 warehouses with its self-developed "Wolf Pack" intelligent devices, improving operational efficiency by 15%-20% [8] - The upgraded "Logistics Brain 2.0" system expands AI capabilities in logistics, enhancing decision-making and collaboration between robots and employees [8] Healthcare and Industrial Applications - JD.com has introduced "Jingyi Qianxun 2.0," a medical model capable of understanding medical language and integrating various data types for comprehensive assessments [9] - The "JoyIndustrial" model provides services to over 10,000 enterprises, potentially optimizing costs across the supply chain by up to 6.77 trillion yuan [9][10] Conclusion - JD.com is not merely creating standalone AI products but is integrating AI into existing service systems, enhancing efficiency and trustworthiness across various applications [6][10]

Core Insights - JD.com is constructing a practical and closed-loop AI system, focusing on transforming its underlying logic centered around the supply chain rather than merely launching a series of AI products [1][6]. Group 1: AI Strategy and Implementation - JD.com is embedding AI into its familiar systems, enhancing its supply chain, logistics, retail, and industrial operations, thereby gradually transforming the entire industry chain [2][18]. - The company aims to create a trillion-scale AI ecosystem over the next three years, as announced during the JDD2025 Global Technology Explorers Conference [2][12]. - JD.com’s CEO proposed a new AI value formula: AI value = Model × Experience × Industry Depth², emphasizing the importance of practical application and industry integration [3][5]. Group 2: Consumer-Facing AI Applications - JD.com is focusing on practical AI applications for consumers, such as the "Xiangxi" app, which integrates shopping and life services, allowing users to place orders and book services through voice commands [8][9]. - The "He Ta Ta" app aims to create a new way of human-AI interaction, emphasizing voice and video communication, and providing assistance in daily tasks [9][10]. - JD.com has launched the "JoyInside" platform to enhance hardware products with standardized dialogue and interaction capabilities, significantly improving user engagement [11][12]. Group 3: B2B AI Integration - JD.com is adopting a solid approach by validating AI technology through real business scenarios before expanding its platform to serve more enterprises and industry segments [13][18]. - The company has introduced the "Oxygen" AI technology architecture for e-commerce, enhancing consumer shopping experiences through advanced understanding and recommendation systems [14][15]. - In logistics, JD.com has deployed over 500 warehouses with its self-developed "Wolf Pack" intelligent devices, improving operational efficiency by 15% to 20% [15][16]. Group 4: Healthcare and Industrial AI Applications - JD.com has launched "Jingyi Qianxun 2.0," a medical model capable of understanding medical language and integrating various data types for comprehensive judgment [16]. - The "JoyIndustrial" model provides services to over 10,000 enterprises, leveraging extensive industrial data for product recognition and standardized management [16][18]. - JD.com’s "Trillion Cost Reduction Model" has the potential to optimize costs across the entire supply chain by up to 6.77 trillion yuan, particularly benefiting complex manufacturing operations [16].