行业概览 2025/10 www.leadleo.com 2025年中国医疗大模型行业概览： 大模型铸就新引擎，赋能驱动大健康 China Medical Large Model Industry 中国医療用大規模モデル産業 报告标签：人工智能、AI医疗、大模型 主笔人：吕佳睿 报告提供的任何内容（包括但不限于数据、文字、图表、图像等）均系头豹研究院独有的高度机密性 文件（在报告中另行标明出处者除外）。 ，任何人不得以任何方式擅自 复制、再造、传播、出版、引用、改编、汇编本报告内容，若有违反上述约定的行为发生，头豹研究 院保留采取法律措施、追究相关人员责任的权利。头豹研究院开展的所有商业活动均使用"头豹研究院 "或"头豹"的商号、商标，头豹研究院无任何前述名称之外的其他分支机构，也未授权或聘用其他任何 第三方代表头豹研究院开展商业活动。 行业概览 | 2025/10 中国医疗大模型行业 ◼ 中国医疗大模型市场呈现"梯队分化、场景 深耕、生态协同"的竞争格局，行业正向临 床价值与商业化落地加速迈进 中国医疗大模型市场已形成以华为云、晶泰科 技、讯飞医疗、联影智能等为代表的第一梯队， 凭借技术壁垒与商业落地能力主 ...

Core Insights - Gartner's recent report highlights the emergence of Chinese companies in the GenAI landscape, positioning them alongside global leaders like Google and OpenAI [1] Group 1: GenAI Infrastructure - Alibaba Cloud is recognized as an emerging leader in the "GenAI Infrastructure" dimension, alongside Microsoft, Google, and AWS, being the only Asia-Pacific company in this quadrant [3] - The report emphasizes the optimization of infrastructure provided by cloud vendors for model training, inference, and services [3] Group 2: GenAI Engineering - In the "GenAI Engineering" dimension, Alibaba Cloud is placed in the leader quadrant, outperforming AWS, Google, and Microsoft in both feature and future potential metrics [3] Group 3: GenAI Models and AI Knowledge Management - Chinese companies have also entered the leader quadrant in the "GenAI Models" and "AI Knowledge Management Applications/Productivity" dimensions, demonstrating superior capabilities in various metrics compared to AWS and Microsoft [4] - The report assesses the comprehensive capabilities of GenAI models, including richness, compatibility with third-party tools, and security [4] Group 4: Industry Trends - The rapid application of large models in China is supported by national policies promoting "Artificial Intelligence +" and the integration of AI into new industrialization [4] - The emphasis is on leveraging China's application advantages to create a synergistic relationship between technology development and application [4]

Core Insights - Alibaba Cloud has been recognized as a leader in all four dimensions of Generative AI (GenAI) by Gartner, positioning it alongside Google and OpenAI [1][4][7][10] Group 1: Generative AI Infrastructure - In the dimension of GenAI infrastructure, Alibaba Cloud is one of only four vendors, including Microsoft, Google, and AWS, to be classified as a leader, and it is the only Asia-Pacific vendor in this category [1] - Huawei Cloud and Tencent Cloud are positioned in the visionary quadrant [1] Group 2: GenAI Engineering - In the GenAI engineering dimension, Alibaba Cloud remains in the leader quadrant, outperforming AWS, Google, and Microsoft in both feature and future potential metrics [4] Group 3: GenAI Model Providers - Alibaba Cloud is classified as a leader in the GenAI model providers dimension, excelling in the feature metric compared to AWS and Microsoft, and ranking just below Google and OpenAI [7] Group 4: AI Knowledge Management Applications - In the AI knowledge management applications dimension, Alibaba Cloud is positioned in the emerging leader quadrant and is the only representative from China [10] Group 5: Strategic Investments and Developments - Alibaba Cloud's positioning aligns with its strategy as a "full-stack AI service provider," demonstrating its comprehensive leadership in the "cloud + AI" product layout [13] - The company announced an investment of 380 billion yuan in AI infrastructure and aims to expand its cloud data center energy consumption by ten times by 2032 [13] - Alibaba Cloud's one-stop AI development platform, PAI, and its collaboration with Tongyi large models have significantly improved model training efficiency, achieving over three times acceleration [13] - The "Bailian" platform allows for the one-click invocation of over 200 models, with daily model invocation increasing by 15 times over the past year [13] - Alibaba Cloud's GenAI models, including Tongyi Qianwen and Tongyi Wanxiang, have been recognized globally and serve over 1 million clients, including major international organizations and brands [13]

Core Insights - The overall cloud service market in China is projected to reach 544.54 billion yuan in 2024, with a growth rate of 15%. The rapid development of artificial intelligence is driving upgrades in cloud infrastructure and capability platforms, which are key factors for the growth of the cloud service market in China [1][8]. Market Overview - The IaaS market in China is expected to grow to 371.86 billion yuan in 2024, with a growth rate of 19.1%. The PaaS market is projected to reach 101.86 billion yuan, growing at 35.8% [11]. - The public cloud service market is anticipated to reach 387.87 billion yuan in 2024, with an 18% growth rate. The non-public cloud service market is expected to be 163.58 billion yuan, growing at 11.2% [13][16]. Market Characteristics - AI has become a focal point for the construction and business layout of the cloud service industry. Participants are expanding investments in intelligent computing infrastructure and improving AI development tools [8]. - The public cloud service market is experiencing new opportunities due to the rapid development of AI, with comprehensive cloud vendors focusing on "intelligence" to build intelligent computing infrastructure and platforms [13]. Competitive Landscape - In the public cloud IaaS market, Alibaba Cloud, Huawei Cloud, and Tianyi Cloud rank as the top three, with Tencent Cloud and Mobile Cloud tied for fourth place, and Amazon Web Services in fifth [19]. - Operator-backed cloud vendors are enhancing their competitiveness by improving infrastructure and increasing investments in AI, while internet-based cloud vendors are stabilizing their market performance through business streamlining and capability focus [19]. Development Trends - The cloud computing sector is expected to continue providing foundational resources and platform tools to support the development of the AI industry. Internally, there will be a deepening integration of cloud and intelligence [8]. - In the short term, the market competition will primarily revolve around price wars, while in the long term, the rapid iteration of technology capabilities will expand business scenarios and drive demand for cloud services [13]. Industry Evolution - The PaaS market is entering a critical phase of technological transition, with AI reshaping the technical architecture and development processes. The connection between PaaS and IaaS is becoming tighter, making PaaS a significant driver for the growth of the overall cloud service market [11][21]. - The integration of AI into traditional industries is creating potential opportunities in the non-public cloud market, as businesses seek cost-effective deployment methods that align with their operational characteristics [16].

Core Insights - The Chinese video cloud market is projected to reach $5.23 billion in the first half of 2025, showing a year-on-year growth of 8.9% [1] - The AI-driven segments, particularly real-time interaction and smart media production, have seen significant growth, with a market size of $40 million and a triple-digit percentage increase year-on-year [1] - The integration of AI models into video cloud services is reshaping the industry, creating new growth paths and enhancing production efficiency [4][12] Market Overview - The video cloud infrastructure and solutions market in China is expected to reach $4.18 billion and $1.06 billion respectively in the first half of 2025 [6] - The video live streaming service market has seen a combined market share increase to 67.3% among major players like Tencent Cloud, Alibaba Cloud, and Huawei Cloud [6] - The audio-visual communication cloud service market remains stable with a combined market share of 80.9% for key players including Agora and Tencent Cloud [8] Emerging Trends - The demand for video cloud services is stabilizing, driven by cost reductions for major short video and live e-commerce platforms, alongside growing overseas demand [1][5] - The rise of AI applications in social and entertainment sectors is rapidly penetrating content production scenarios, creating a new video cloud AI track [1][4] - The introduction of AIGC video tools is transforming media production processes, enhancing efficiency and user experience in various applications such as live sports events [4] Competitive Landscape - The video on demand cloud service market (excluding basic bandwidth) has seen a market share increase to 68.4% for major players like Alibaba Cloud and Tencent Cloud [10] - The video cloud industry is witnessing the establishment of barriers and differentiated practices among service providers, particularly in edge resource management and network connectivity [12]

Core Insights - The industrial sector in Guizhou is significantly contributing to the province's economic growth, with its contribution rate increasing from 17.1% in 2020 to 36.7% by 2024 [1] - The province is focusing on developing six major industrial bases and promoting the "Electric Guizhou" initiative, which has led to high-quality industrial economic development [1] Industrial Contribution - Industrial investment's share of fixed asset investment rose from 17.9% to 34.2% during the same period [1] - Industrial tax revenue's proportion of total tax revenue increased from 34.6% to 48.7% [1] Industrial Development Strategy - The six major industrial bases account for 82.2% of the province's industrial output [3] - The integration of phosphate, coal, and fluorochemical industries is being promoted [3] - The "Electric Guizhou" initiative has established a complete industrial chain from ore to battery and vehicle production [3] Investment Trends - Annual industrial investment growth rate is 12%, shifting from infrastructure-focused to industry-focused investments [3] - Major projects from companies like Huawei Cloud and Ningde Times are being established in the region [3] Innovation and New Production Capacity - Guizhou has nurtured 1,587 innovative SMEs and 82 specialized "little giant" enterprises [4] - The province has achieved breakthroughs in the steel wire rope industry and established a national key laboratory in the phosphate industry [4] - Guizhou is recognized as a pilot city for the digital transformation of SMEs [4] Environmental and Sustainability Efforts - A total of 117 national-level green factories and 26 green industrial parks have been created [4] - Significant advancements in the comprehensive utilization of phosphogypsum and breakthroughs in using red mud for cement production have been made [4]

Government Initiatives - The State Council issued opinions to accelerate the cultivation and large-scale application of new scenarios, emphasizing the importance of connecting technology and industry for promoting commercialization of new technologies and products [1] - The Ministry of Industry and Information Technology (MIIT) announced plans to enhance the systematic layout and high-level construction of manufacturing pilot platforms, aiming to establish a modern pilot platform system by the end of 2027 [1] - MIIT initiated the 2025 AI industry and new industrialization innovation tasks, focusing on key areas such as AI infrastructure and "AI + manufacturing" to foster technological innovation and application [1] Local Actions - Jiangsu Province is promoting a new paradigm for immersive sports event consumption by integrating technologies like AI, big data, and digital twins into sports event activities [4] - Guangdong Province is collecting quality projects for smart tourism, focusing on new information technologies such as cloud computing, AI, and the metaverse to enhance tourism experiences [5][6] Industry Developments - Neuralink has implanted devices in 12 individuals, enabling them to regain abilities and pursue careers, showcasing advancements in brain-machine interface technology [9] - A new clinical safety-effectiveness dual-track benchmark was established by 32 clinical experts, with a Chinese model, MedGPT, achieving the highest score, indicating significant progress in domestic medical AI capabilities [10] Insights from Experts - Academician Zhang Rong highlighted the synergy between AI and Micro-LED technology, predicting breakthroughs in both fields due to their mutual reinforcement [11] - The next generation of remote sensing systems is evolving into intelligent agents capable of understanding and reasoning, driven by advancements in AI and remote sensing technologies [13] Technological Innovations - A new AI model developed by DeepMind successfully predicted hurricane paths and intensity, demonstrating the potential of AI in disaster management [15] - Huawei Cloud introduced a versatile intelligent platform aimed at addressing challenges in AI deployment, focusing on reducing development barriers and enhancing edge capabilities [16]

Core Insights - The urban trusted data space is a government-led data infrastructure that facilitates the development and utilization of urban data resources, serving as a key carrier for trusted data space [1][2] Development Drivers - **Policy**: The establishment of urban trusted data spaces is encouraged through a series of top-level designs and strategic plans aimed at promoting the compliant and efficient circulation of data [4][5] - **Technology**: Privacy computing and blockchain technology are introduced to address the challenges of trusted data circulation, enabling data sharing while ensuring compliance and security [5][6] - **Demand**: Urban areas face challenges in data resource development and utilization, which the trusted data space aims to address by providing a secure and compliant environment for data circulation [8] Value Proposition - The urban trusted data space aims to break down data circulation barriers, activate the potential of data elements, and promote the modernization of urban governance [11] Overall Framework - The urban trusted data space is built around a foundational infrastructure, two major platforms, and aims to empower urban digital transformation [13] Core Capabilities - The core capabilities of the urban trusted data space include trusted control, resource interaction, and value co-creation, which are essential for establishing a trusted data circulation infrastructure [16] Industry Chain and Ecosystem - The urban trusted data space involves five main entities: operators, data providers, data users, data service providers, and regulatory bodies, each playing a crucial role in the ecosystem [21] Competitive Landscape - In the technical service sector, comprehensive and specialized service providers compete, with ICT background cloud service providers leading the market [24] Application Scenarios - **Government Services**: The urban trusted data space facilitates inter-departmental data connectivity, enhancing government services and decision-making [27] - **Inclusive Finance**: By integrating government and financial data, the urban trusted data space supports the development of dynamic risk assessment models for inclusive finance [30] Case Studies - **Zhangjiakou Trusted Data Space**: This initiative employs a "one space, four platforms, one system" architecture to support the secure circulation of public and social data [33][35] - **Shanghai Trusted Data Space**: This project leverages blockchain technology to meet the complex data needs of a megacity, facilitating the secure and efficient use of data [37][39] Technical Trends - AI technology is becoming a key driver in enhancing data governance efficiency within urban trusted data spaces, transitioning from manual to automated governance strategies [42] Future Trends - The urban trusted data space is expected to evolve from pilot projects to a collaborative ecosystem, attracting industry and enterprise participation to explore vertical applications [44][45]

Core Insights - The conference held on November 5 focused on high-quality data sets and data annotation, showcasing the vibrant market potential with over 500 participating companies and more than 90 cooperation agreements, resulting in a total transaction amount exceeding 900 million yuan [1][2] Group 1: Conference Overview - The event was guided by the National Bureau of Statistics and aimed to promote high-quality data set construction as a fuel for artificial intelligence [1] - The conference featured five industry-specific sessions, including healthcare, smart energy, industrial manufacturing, transportation, and cultural tourism, addressing data needs in large model training and industry digital transformation [1] Group 2: Industry Participation and Contributions - Nine representative companies, including JD Technology, Alibaba Cloud, and Huawei Cloud, shared practical applications of high-quality data sets across various sectors such as e-commerce, cloud computing, and finance [2] - Key figures from national research institutions discussed the construction paths, standards, and evaluation criteria for high-quality data sets [2] Group 3: Local Development and Innovation - Nanjing has positioned high-quality data set construction as a core strategy to activate data value and support AI development, achieving full coverage in the 16 industry areas identified by the National Bureau of Statistics [3] - The city has developed a unique path for high-quality data set construction, characterized by policy guidance, innovation-driven approaches, industry clustering, rich applications, and open cooperation [3]

Core Insights - The overall cloud service market in China is projected to reach 544.54 billion yuan in 2024, with a growth rate of 15%. The rapid development of artificial intelligence is driving upgrades in cloud infrastructure and capability platforms, which are key factors for market growth [1][8]. Market Overview - The IaaS market in China is expected to grow to 371.86 billion yuan in 2024, with a growth rate of 19.1%. The PaaS market is projected to reach 101.86 billion yuan, growing at 35.8% [11]. - The public cloud service market is anticipated to reach 387.87 billion yuan in 2024, with an 18% growth rate. The non-public cloud service market is expected to be 163.58 billion yuan, growing at 11.2% [13][16]. Market Characteristics - AI has become a focal point for cloud service industry construction and business layout. Participants are expanding investments in intelligent computing infrastructure and improving AI development tools [8]. - The public cloud service market is experiencing new opportunities due to the rapid development of AI, with various cloud vendors focusing on building intelligent computing infrastructure and platforms [13]. Competitive Landscape - In the public cloud IaaS market, Alibaba Cloud, Huawei Cloud, and Tianyi Cloud rank as the top three providers, with Tencent Cloud and Mobile Cloud tied for fourth place [19]. - Operator-backed cloud vendors are enhancing their competitiveness by improving infrastructure and investing in AI, while internet-based cloud vendors are focusing on business streamlining and capability concentration to alleviate competitive pressure [19]. Development Trends - The cloud computing sector is expected to continue supporting the development of the AI industry by providing foundational resources and platform tools. The integration of intelligence into cloud services will further enhance the capabilities of intelligent computing [8]. - In the short term, the competition in the public cloud market is primarily driven by price wars, but long-term growth will be fueled by the rapid iteration of AI technology and the expansion of cloud service applications across various industries [13][19].