1. EXECUTIVE SUMMARY
2. MARKET SNAPSHOT
2.1. Market Overview
2.2. Market Definition
2.3. Scope of the Study
2.4. Market Segmentation
3. BUSINESS LANDSCAPE
3.1. Market Drivers
3.2. Market Restraints
3.3. Market Opportunities
3.4. Porter's Five Forces Analysis
3.5. Industry Value Chain Analysis
3.6. Policies and Regulations
3.7. Strategic Recommendations
4. TECHNOLOGICAL OUTLOOK
5. CHINA AI FOR PREDICTING PANDEMICS AND GLOBAL HEALTH EMERGENCIES MARKET BY COMPONENT
5.1. Introduction
5.2. Software
5.3. Services
5.4. Hardware
6. CHINA AI FOR PREDICTING PANDEMICS AND GLOBAL HEALTH EMERGENCIES MARKET BY DEPLOYMENT MODE
6.1. Introduction
6.2. Cloud-based
6.3. On-Premises
7. CHINA AI FOR PREDICTING PANDEMICS AND GLOBAL HEALTH EMERGENCIES MARKET BY APPLICATION
7.1. Introduction
7.2. Outbreak Prediction & Detection
7.3. Disease Surveillance
7.4. Contract Tracing
7.5. Risk Assessment
7.6. Health Trend Forecasting
7.7. Public Health Resource Allocation
7.8. Others
8. CHINA AI FOR PREDICTING PANDEMICS AND GLOBAL HEALTH EMERGENCIES MARKET BY END-USER
8.1. Introduction
8.2. Government & Public Health Agencies
8.3. Hospitals & Clinics
8.4. Research Institutions
8.5. Pharmaceuticals and Biotech Companies
8.6. Academic Institutions
8.7. Others
9. COMPETITIVE ENVIRONMENT AND ANALYSIS
9.1. Major Players and Strategy Analysis
9.2. Market Share Analysis
9.3. Mergers, Acquisitions, Agreements, and Collaborations
9.4. Competitive Dashboard
10. COMPANY PROFILES
10.1. XtalPi
10.2. Ping An Smart Healthcare
10.3. Yidu Tech
10.4. 4Paradigm
10.5. Deepwise
10.6. Infervision
10.7. Synyi AI
10.8. iCarbonX
10.9. Baidu Health
10.10. Alibaba DAMO Academy (Healthcare AI Lab)
11. APPENDIX
11.1. Currency
11.2. Assumptions
11.3. Base and Forecast Years Timeline
11.4. Key benefits for the stakeholders
11.5. Research Methodology
11.6. Abbreviations
LIST OF FIGURES
LIST OF TABLES