China Artificial Intelligence (AI) In Healthcare Market Overview
Base Year: 2024
Historical Years: 2019-2024
Forecast Years: 2025-2033
Market Size in 2024: USD 1,285.8 Million
Market Forecast in 2033: USD 8,593.3 Million
Market Growth Rate (2025-33): 23.50%
The China artificial intelligence (AI) in healthcare market size reached USD 1,285.8 Million in 2024. Looking forward, IMARC Group expects the market to reach USD 8,593.3 Million by 2033, exhibiting a growth rate (CAGR) of 23.50% during 2025-2033. The growing geriatric population in the country, increasing innovations in machine learning (ML), deep learning, and natural language processing (NLP), and rising implementation of favorable government regulations crucial factors impelling the growth of the market.
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China Artificial Intelligence (AI) In Healthcare Market Trends and Drivers:
Regulatory considerations for this market, which can be complex to navigate, are changing, and regulators are easing this transition from bench to bedside. Unlike the longer and more customary processes in other parts of the world, in China, the NMPA has a “green channel” through which applications for applicable AI-enabled SaMD products may be processed on an accelerated basis. This is particularly true for non-diagnostic functions and solutions addressing fundamental inefficiencies in the healthcare system. More than a bureaucratic move, this has become part of the national “Healthy China 2030” plan, in which the application of AI and big data will be integrated into the public health system. State endorsement has led to unprecedented collaborations with companies such as Tencent, Alibaba’s AliHealth, and state-backed networks of hospitals, and to a proliferation of AI applications in smart patient triage, chronic disease management, and hospital workflow applications. More recently, new research suggests that over 72% of China’s tertiary hospitals are currently piloting or have implemented at least one type of administrative or clinical decision-support system with AI technology, reflecting a transition from the initial experimentation phase to mainstream deployment and scalability of AI solutions to improve healthcare delivery and system resilience.
The market is now moving away from isolated medical image diagnostic algorithms towards integrated AI platforms for entire clinical workflows. Computer helped detection (CAD) systems remain a major application area for the detection of pulmonary nodules in CT images, although a new wave of AI applications is rapidly emerging for pathology, genomics, drug discovery and precision medicine. One very strong trend has been in the form of integrated “hospital brain” systems that combine and analyze data from electronic health records (EHRs), laboratory information systems (LIS), and picture archiving and communication systems (PACS) into a single smart dashboard for clinicians to work with. In the case of the hospital system for example, new algorithms are used to predict patient admissions, schedule operating rooms, and control postoperative recovery, making the operation of hospitals more efficient and resource allocations smarter. The push is partly in response to the need to relieve the burdens faced by China’s top hospitals. It is claimed that impact has been made based on patient outcomes, operational efficiencies and meaningful reductions in the average length of stay in hospital. In early adopter settings, turnover rates for beds went up 15%.
AI is now the backbone of preventative medicine and personalized medicine. This is a fundamental shift, and it is especially important for China because of its enormous and aging population. Consumer-facing AI applications and platforms with real-time monitoring and personalized risk assessments are a strong trend. AI has played a role in the rise of Internet-of-Things devices. It has also played a role in wearable technology. These devices and AI algorithms can watch multiple biosignals in real time and tell about the condition of cardiovascular diseases, diabetes and chronic diseases before they happen. AI is being applied to customary Chinese medicine (TCM) to analyze patient data based on a set of complex theories and TCM practice and form personalized treatment. This emerging niche is taking its shape within the global healthcare AI market: The use of AI analysis in genomic research, especially oncogenomics and pharmacogenomics, is enabling highly personalized treatment plans to be devised for each patient’s specific condition and genetic information in the field of health care. The goal is a predictive, participatory, personalized and proactive health system that pushes health care from the hospital walls to every corner of a person’s life and transfers the focus of future healthcare from treatment of disease to health and wellness.
China Artificial Intelligence (AI) In Healthcare Market Industry Segmentation:
Offering Insights:
- Hardware
- Software
- Services
Technology Insights:
- Machine Learning
- Context-Aware Computing
- Natural Language Processing
- Others
Application Insights:
- Robot-Assisted Surgery
- Virtual Nursing Assistant
- Administrative Workflow Assistance
- Fraud Detection
- Dosage Error Reduction
- Clinical Trial Participant Identifier
- Preliminary Diagnosis
- Others
End User Insights:
- Healthcare Providers
- Pharmaceutical and Biotechnology Companies
- Patients
- Others
Regional Insights:
- North China
- East China
- South Central China
- Southwest China
- Northwest China
- Northeast China
Competitive Landscape:
The competitive landscape of the industry has also been examined along with the profiles of the key players.
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Key highlights of the Report:
- Market Performance (2019-2024)
- Market Outlook (2025-2033)
- COVID-19 Impact on the Market
- Porter’s Five Forces Analysis
- Strategic Recommendations
- Historical, Current and Future Market Trends
- Market Drivers and Success Factors
- SWOT Analysis
- Structure of the Market
- Value Chain Analysis
- Comprehensive Mapping of the Competitive Landscape
Note: If you need specific information that is not currently within the scope of the report, we can provide it to you as a part of the customization.
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