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. UNITED STATES AI FOR PREDICTING PANDEMICS AND GLOBAL HEALTH EMERGENCIES MARKET BY COMPONENT
5.1. Introduction
5.2. Software
5.3. Services
5.4. Hardware
6. UNITED STATES AI FOR PREDICTING PANDEMICS AND GLOBAL HEALTH EMERGENCIES MARKET BY DEPLOYMENT MODE
6.1. Introduction
6.2. Cloud-based
6.3. On-Premises
7. UNITED STATES 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. UNITED STATES 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. BlueDot
10.2. Metabiota
10.3. Kinsa
10.4. Covid Act Now
10.5. Sempulse
10.6. Eviden
10.7. Viz.ai
10.8. PathAI
10.9. Ellipsis Health
10.10. Hippocratic AI
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