Imaging cloud and AI medical cloud are emerging as new opportunities in the market.
According to the latest research from International Data Corporation (IDC), the market size of China's medical imaging cloud solutions reached 1.45 billion yuan in 2025, with the top five vendors collectively accounting for 30.8% of the market.
At the same time, the deployment of large models and agent technologies in medical scenarios is driving a shift in the positioning of medical cloud, which is gradually upgrading from a traditional business operation foundation to a carrier foundation for AI applications.
These two major changes are jointly driving a switch in the growth logic of medical cloud vendors, with the focus of competition shifting from infrastructure resource comparison to scenario implementation, AI capability building, and ecosystem collaboration.
The imaging cloud market will see rapid growth in the short term, with the platform and application layers being key entry points for vendors. Policies such as medical insurance imaging cloud indexing, cloud film, and cross-regional imaging retrieval are continuously being implemented, and imaging cloud is upgrading from an internal auxiliary tool for hospitals to core infrastructure for regional medical interconnectivity.
Market demand has also extended from simple storage and backup to diverse applications such as cloud PACS, remote collaborative diagnosis, imaging quality control, and AI-assisted diagnosis.
IDC data shows that the market size of domestic medical imaging cloud solutions in 2025 was 1.45 billion yuan, representing a limited market scale.
However, with medical insurance imaging cloud projects gradually being put into operation, the industry will enter a stage of rapid expansion in the next one to three years.
In the long run, the focus of imaging cloud construction will shift to data value mining, and AI-assisted diagnosis, intelligent report generation, and full-process imaging quality control will become the second growth curve of the market.
The top five vendors in the imaging cloud solutions market collectively hold a 30.8% market share, and the market exhibits a competitive characteristic of "concentrated at the bottom, dispersed at the application layer."
The three major telecom operators, relying on their network, data center, and government-enterprise cooperation resources, occupy important positions in the underlying infrastructure, making it difficult for new vendors to achieve breakthroughs in this segment; however, the platform and application layers remain unsettled, and various vendors can still enter the market with professional products, medical industry understanding, and local service capabilities, establishing differentiated advantages and thereby gaining higher shares.
Demand for AI medical cloud is about to grow, with AI technology adaptation and industry attributes becoming core competitiveness. Medical business continues to iterate, and combined with the widespread adoption of large models and agent technologies, hospitals are placing new demands on medical cloud platforms.
AI applications are no longer limited to single-point auxiliary tools but are gradually evolving into agents that can invoke business systems and handle complex business tasks, and hospitals' demand for heterogeneous computing power, model inference, data governance, and agent operating environments continues to rise.
Medical cloud will also gradually evolve from the operation foundation of traditional business systems to the operation foundation of AI applications and agents.
At the current stage, there are obvious gaps in digitalization foundations, budget investments, and data governance capabilities among hospitals of different levels, and most AI applications are still in the pilot stage of partial implementation, with overall new computing power demand not yet fully released.
However, as the number of medical agent applications and covered scenarios expand, running agents on the cloud will become an important incremental source for medical cloud.
Based on changes in market demand, the solutions of medical cloud vendors should no longer be limited to servers, storage, and cloud resource prices, but should gradually shift toward comprehensive capability building in AI computing power, data platforms, AI models and agent platform capabilities, as well as medical business adaptation capabilities and medical professional technical service capabilities.
From the perspective of market landscape, CHINA MOBILE (00941), CHINA TELECOM (00728), and China Unicom have risen rapidly by virtue of cloud-network integration and government-enterprise channel advantages, occupying the leading tier of the market.
At the same time, CHINA MOBILE, CHINA TELECOM, China Unicom, and Inspur Group are able to transform infrastructure advantages into comprehensive service capabilities for medical AI, while deeply cultivating the medical industry, adapting to hospital business and regulatory needs, and providing continuous and stable operational services, thereby being positioned in the leader category in vendor assessments.
In the short term, vendors should base themselves on their own endowments and seize horizontal and vertical market opportunities through win-win cooperation. Industry competition is shifting from a comparison of underlying infrastructure to a comprehensive contest at the application scenario and ecosystem levels.
Various vendors should dynamically adjust their strategies according to their own endowments: First, horizontally expand business scenarios such as imaging cloud.
For cloud technology vendors with cloud infrastructure, network resources, and regional delivery capabilities, they should focus on business opportunities such as medical insurance imaging cloud, county-level medical community, and regional medical collaboration, and expand service scope through platform operations and ecosystem cooperation; for vendors with accumulated medical software and professional imaging products, they should strengthen cross-institutional collaboration, data utilization, and AI application capabilities to enhance the continuous service value of professional products.
Second, vertically integrate AI capabilities into business.
Cloud vendors need to strengthen the coordination of heterogeneous computing power, model services, data processing, and agent operating environments, but should not measure product competitiveness solely by computing power scale or model deployment capability.
Given the highly professional nature of medical business, medical AI technology vendors can complement cloud vendors by transforming their accumulated capabilities in clinical knowledge, imaging analysis, and medical record understanding into reusable AI service capabilities, thereby better adapting to users' demand for integrated solutions and improving overall delivery efficiency and long-term operational value.
Finally, open ecosystems to fill capability gaps.
Medical cloud construction involves multiple links such as infrastructure, medical software, and AI applications, and a single vendor can hardly cover all capabilities.
Cloud vendors need to clarify the boundaries between self-development and cooperation, establish coordination mechanisms with medical informatization vendors, equipment vendors, and professional AI companies, jointly develop solutions, incorporate localization, security, stability, and continuous operation and maintenance into the overall solution design, and gradually form replicable and sustainable medical cloud technology and service capabilities.
IDC analyst Lin Hong believes that the medical cloud market is undergoing a structural shift: in the past decade, vendors competed on resource coverage and delivery capabilities, while in the next three to five years, competition will be on scenario understanding and AI implementation capabilities.
Imaging cloud is the short-term opportunity with the strongest certainty driven by policy, but the real long-term barrier lies in whether AI capabilities can be embedded into clinical business flows to form a sustainable operational service model.
For vendors, infrastructure advantages are only an admission ticket, and whether they can form a complementary ecosystem with medical informatization vendors and AI companies will determine their position in the new round of competition.
The market landscape is far from settled, and now is exactly the window period for layout.
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