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. US AI IN MENTAL HEALTH MARKET BY TECHNOLOGY
5.1. Introduction
5.2. Machine Learning
5.3. Natural Language Processing (NLP)
5.4. Deep Learning
5.5. Computer Vision
5.6. Others
6. US AI IN MENTAL HEALTH MARKET BY APPLICATION
6.1. Introduction
6.2. Diagnosis And Treatment
6.3. Virtual Assistants and Chatbots
6.4. Mental Health Monitoring
6.5. Predictive Analytics
6.6. Others
7. US AI IN MENTAL HEALTH MARKET BY END-USER
7.1. Introduction
7.2. Hospitals And Clinics
7.3. Mental Health Centers
7.4. Research Institutions
7.5. Others
8. COMPETITIVE ENVIRONMENT AND ANALYSIS
8.1. Major Players and Strategy Analysis
8.2. Market Share Analysis
8.3. Mergers, Acquisitions, Agreements, and Collaborations
8.4. Competitive Dashboard
9. COMPANY PROFILES
9.1. Woebot Health
9.2. Spring Health
9.3. Teladoc Health, Inc.
9.4. CalmWave
9.5. Ellipsis Health
9.6. Meru Health
9.7. Blueprint
9.8. Kintsugi Health
9.9. Lyra Health
9.10. Headspace Health
9.11. Talkspace
10. APPENDIX
10.1. Currency
10.2. Assumptions
10.3. Base and Forecast Years Timeline
10.4. Key benefits for the stakeholders
10.5. Research Methodology
10.6. Abbreviations
LIST OF FIGURES
LIST OF TABLES