Government Initiatives and Market Players Contribution is Driving China AI in Healthcare Market

China AI in healthcare market is estimated to grow at a significant CAGR of 52.8% during the forecast period (2025-2035).  The market growth is driven by the aging population, fluctuating disease profile and rapidly improving life. Furthermore, active R&D investment in the industry across the region is contributing to the market growth. China AI in healthcare market is segmented by offering (hardware and software & services), by end-user industry (hospitals & healthcare facilities, personal care, biotechnology & pharmaceutical companies), by application (diagnosis, biomarker, virtual nursing assistance, remote monitoring of patients, drug discovery, and AI-enabled hospital care). 

According to the World Health Organization, nearly 28% of Chinese citizens will be over 60 years old by 2040. This can be largely attributed to the longer life expectancy and declining fertility rates. Additionally, the estimated the healthcare job burnout rate in China to be as much as 77%, which is driving the adoption of AI in the healthcare. Furthermore, the adoption of AI in healthcare significantly reduces the cost incurred. For instance, AI assisted CT (Computerized Tomography) scan save up to 90% in costs. Additionally, it generates more clinical information than traditional MR (Magnetic Resonance) and PET (Positron Emission Tomography) scans. Moreover, AI-enabled innovations help physicians shorten examination time and interpretation, while reducing variability.

The Chinese government is prioritizing biomedical sciences and AI innovation in healthcare. The same is evident in the leverage of biodata to advance precision medicine, health, and AI. It is highlighted in the Five-Year Plans and the National Medium- and Long-Term Plan for Science and Technology Development, and in major health-related initiatives such as, Beijing's Healthy China 2030 Policy. Chinese policies standardize biodata digitization for R&D. Such policies include, China’s 14th Five-Year Plan for National Informatization, Healthy China 2030, China’s Biosecurity Law, and Measures for the Management of Scientific Data, among others. Additionally, the English-language research output in medical AI fields has increased between 2010 and 2021.

Chinese companies are developing biodata-enabled medical AI contributing significantly to the market growth. For instance, Yidu Tech help China’s hospitals in medical research, medical management, drug research, and clinical decision support. Similarly, Airdoc’s AI-based software diagnose diabetic retinopathy. Additionally, Infervision offers AI-enabled radiology technology to diagnose cancer through CT scans of lungs, and its InferRead Lung CT. 

Recent Developments  

• In November 2024, China ran a pilot programme to implement internet-based family doctor contract services. The service has been developed by Chinese insurer Ping An for its online family doctor service, Ping An Family Doctor. Ping An Health is an AI-driven service that virtually connects patients with GPs – certified by the World Organization of Family Doctors – for medical consultations. It additionally facilitates referrals, hospital appointment bookings, nursing care, and post-discharge follow-ups. 

The Ping An Family Doctor platform provides access to EHRs, allows the uploading of medical reports, and generates AI-driven personalized health plans. It delivers near-real-time alerts for urgent health concerns, and can generate AI-driven personalized health plans.   

• In October 2024, China announced the globe’s first AI hospital, ‘Agent Hospital’, developed by researchers from Tsinghua University. The facility features virtual patients and doctors powered by Large Language Models (LLMs). The facility is said to be capable of  treating over 10,000 patients in just a few days, with 93.06% accuracy rate on the MedQA dataset. The hospital includes 14 AI doctor agents and four AI nursing agents.
• In February 2024, China Medical University Hospital (CMUH) in Taiwan announced collaboration with Google Cloud in mid-December 2023. The hospital is leveraging the Google Cloud's generative AI technology, including MedLM, to create a large language model built on Med-PaLM 2. CMUH has developed a comprehensive ‘AI-assisted Physician’ system to assist healthcare professionals in disease diagnosis, treatment planning, patient education, and medical research, among others. 

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