Global Artificial Intelligence (AI) in Mental Health Market 2025-2035
Description
Global Artificial Intelligence (AI) in Mental Health Market Size, Share & Trends Analysis Report by Technology (Machine Learning and Deep Learning, Natural Language Processing (NLP)), by Application (Conversational Interfaces, Patient Behavioral Pattern Recognition), and by Component (Software-as-a-Service (SaaS), Hardware), Forecast Period (2025-2035)
Artificial intelligence (AI) in mental health market was valued at $1.3 billion in 2024 and is projected to reach $15.1 billion by 2035, growing at a CAGR of 24.3% during the forecast period (2025-2035). Artificial Intelligence (AI) is leading the charge in mental health as it can improve diagnostics, tailor treatment, and increase accessibility. Chatbots and virtual therapists powered by AI offer instant help, lightening the load for healthcare professionals. Machine learning algorithms process patient data to identify early warning signs of mental illness, allowing intervention before it gets serious. AI-powered predictive analytics aid in suicide prevention and crisis management. Natural Language Processing (NLP) assists in the evaluation of emotional well-being based on the analysis of speech and text. Overall, AI enhances efficiency, accuracy, and accessibility in mental health care, transforming patient care and treatment results.
Segmental Outlook
AI in mental health personalized treatment plans are improved by machine learning algorithms, which improve therapy suggestions over time by continually learning from patient reactions. High precision diagnosis of disorders, including schizophrenia, anxiety, and depression, is made possible by deep learning models, especially in the areas of speech and picture recognition. Furthermore, as ML-powered predictive analytics may identify at-risk persons based on their digital activity, they are essential for crisis response and suicide prevention.
Regional Outlook
The Global AI mental health market is further segmented based on geography including North America (the US, and Canada), Europe (UK, Italy, Spain, Germany, France, and the Rest of Europe), Asia-Pacific (India, China, Japan, South Korea, and Rest of Asia), and the Rest of the World (the Middle East & Africa, and Latin America). Among these, North America is anticipated to hold a prominent share of the market across the globe, due to the well-established healthcare infrastructure, availability of high-quality professional assistance, and a strong focus on mental health awareness and treatments.
The North American region is Expected to Grow at a Significant CAGR in the Global Artificial Intelligence in Diagnostics Market
In North America, the US covers the largest share of the AI mental healthcare market. The main point is cost-friendly and easily accessible anytime and anywhere. According to the American Psychological Association, mental health problems keep rising, and reducing the problem is critical. The best method is AI which helps to understand and analyze the problem and resolve it. Some people avoid therapy owing to lengthy waiting lists. A 2023 study shows that analyzing behavioral data from AI-powered programs shows that 64.8% of sessions occur after traditional business hours.
By continuously learning from patient responses, machine learning models enhance therapy recommendations with time, increasing personalized treatment programs. Deep learning models aid in highly accurate diagnosis, including schizophrenia, anxiety, and depression, particularly in voice and image recognition. Further, through identification of people at risk from their online activity, ML-facilitated predictive analytics play a critical role in crisis intervention and suicide prevention.
Market Players Outlook
The major companies serving the global AI mental health market include Limbic Health Ltd, Woebot Health Inc, HearMe Inc, Wysa Ltd, Spring Health Inc, and others. The market players are considerably contributing to market growth through the adoption of various strategies, including mergers and acquisitions, partnerships, collaborations, funding, and new product launches, to stay competitive in the market.
Recent Development
Artificial intelligence (AI) in mental health market was valued at $1.3 billion in 2024 and is projected to reach $15.1 billion by 2035, growing at a CAGR of 24.3% during the forecast period (2025-2035). Artificial Intelligence (AI) is leading the charge in mental health as it can improve diagnostics, tailor treatment, and increase accessibility. Chatbots and virtual therapists powered by AI offer instant help, lightening the load for healthcare professionals. Machine learning algorithms process patient data to identify early warning signs of mental illness, allowing intervention before it gets serious. AI-powered predictive analytics aid in suicide prevention and crisis management. Natural Language Processing (NLP) assists in the evaluation of emotional well-being based on the analysis of speech and text. Overall, AI enhances efficiency, accuracy, and accessibility in mental health care, transforming patient care and treatment results.
Segmental Outlook
- Based on technology, the market is segmented into machine learning and deep learning, natural language processing (NLP).
- Based on the application, the market is segmented into conversational interfaces, patient behavioral pattern recognition.
- Based on the component, the market is segmented into software-as-a-service (SaaS), hardware.
AI in mental health personalized treatment plans are improved by machine learning algorithms, which improve therapy suggestions over time by continually learning from patient reactions. High precision diagnosis of disorders, including schizophrenia, anxiety, and depression, is made possible by deep learning models, especially in the areas of speech and picture recognition. Furthermore, as ML-powered predictive analytics may identify at-risk persons based on their digital activity, they are essential for crisis response and suicide prevention.
Regional Outlook
The Global AI mental health market is further segmented based on geography including North America (the US, and Canada), Europe (UK, Italy, Spain, Germany, France, and the Rest of Europe), Asia-Pacific (India, China, Japan, South Korea, and Rest of Asia), and the Rest of the World (the Middle East & Africa, and Latin America). Among these, North America is anticipated to hold a prominent share of the market across the globe, due to the well-established healthcare infrastructure, availability of high-quality professional assistance, and a strong focus on mental health awareness and treatments.
The North American region is Expected to Grow at a Significant CAGR in the Global Artificial Intelligence in Diagnostics Market
In North America, the US covers the largest share of the AI mental healthcare market. The main point is cost-friendly and easily accessible anytime and anywhere. According to the American Psychological Association, mental health problems keep rising, and reducing the problem is critical. The best method is AI which helps to understand and analyze the problem and resolve it. Some people avoid therapy owing to lengthy waiting lists. A 2023 study shows that analyzing behavioral data from AI-powered programs shows that 64.8% of sessions occur after traditional business hours.
By continuously learning from patient responses, machine learning models enhance therapy recommendations with time, increasing personalized treatment programs. Deep learning models aid in highly accurate diagnosis, including schizophrenia, anxiety, and depression, particularly in voice and image recognition. Further, through identification of people at risk from their online activity, ML-facilitated predictive analytics play a critical role in crisis intervention and suicide prevention.
Market Players Outlook
The major companies serving the global AI mental health market include Limbic Health Ltd, Woebot Health Inc, HearMe Inc, Wysa Ltd, Spring Health Inc, and others. The market players are considerably contributing to market growth through the adoption of various strategies, including mergers and acquisitions, partnerships, collaborations, funding, and new product launches, to stay competitive in the market.
Recent Development
- In February 2025, Mental Health Europe launches a study on Artificial Intelligence in mental healthcare. This study explores the opportunities, risks, and ethical considerations surrounding the use of artificial intelligence (AI) systems in mental healthcare and provides recommendations for their responsible implementation and regulation. In mental healthcare, AI systems are used in diverse ways, from administrative tasks to communication platforms, professional decision support, digital therapies and patient monitoring.
- Market value data analysis of 2025 and forecast to 2035.
- Annualized market revenues ($ million) for each market segment.
- Country-wise analysis of major geographical regions.
- Key companies operating in the global artificial Intelligence (AI) in mental health market. Based on the availability of data, information related to new product launches, and relevant news is also available in the report.
- Analysis of business strategies by identifying the key market segments positioned for strong growth in the future.
- Analysis of market-entry and market expansion strategies.
- Competitive strategies by identifying ‘who-stands-where’ in the market
Table of Contents
230 Pages
- 1. Report Summary
- Current Industry Analysis and Growth Potential Outlook
- 1.1. AI In Mental Health Market Sales Analysis – Technology |Application| Component| ($ Million)
- 1.2. Research Methodology
- Primary Research Approach
- Secondary Research Approach
- 1.3. Market Snapshot
- 2. Market Overview and Insights
- 2.1. Scope of the Study
- 2.2. Analyst Insight & Current Market Trends
- 2.2.1. Key AI In Mental Health Industry Trends
- 2.2.2. Market Recommendations
- 2.2.3. Conclusion
- 3. Market Determinants
- 3.1. Market Drivers
- 3.1.1. Drivers For AI In Mental Health Market: Impact Analysis
- 3.2. Market Pain Points and Challenges
- 3.2.1. Restraints For AI In Mental Health Market: Impact Analysis
- 3.3. Market Opportunities
- 4. Competitive Landscape
- 4.1. Competitive Dashboard –AI In Mental Health Market Revenue by Manufacturers
- 4.2. Key Company Analysis
- 4.2.1. Overview
- 4.2.2. Product Portfolio
- 4.2.3. Financial Analysis (Subject to Data Availability)
- 4.2.4. SWOT Analysis
- 4.2.5. Business Strategy
- 4.3. Top Winning Strategies by Market Players
- 4.3.1. Merger and Acquisition
- 4.3.2. Product Launch
- 4.3.3. Partnership And Collaboration
- 5. Global AI In Mental Health Market by Technology ($ Million)
- 5.1. Machine Learning (ML) and Deep Learning
- 5.2. Natural Language Processing (NLP)
- 5.3. Virtual Reality (VR)/ Augmented Reality (AR)
- 5.4. Others (Analytics, Speech Recognition, Computer Vision)
- 6. Global AI In Mental Health Market by Application ($ Million)
- 6.1. Patient Behavioral Pattern Recognition
- 6.2. Mental health diagnosis and assessment
- 6.3. Personalized treatment
- 6.4. Virtual Therapies and chatbot support
- 6.5. Mental Health Monitoring and Tracking
- 6.6. Research and Development
- 7. Global AI in Mental Health Market by Component ($ Million)
- 7.1. Software-as-a-Service (SaaS)
- 7.2. Hardware
- 8. Regional Analysis
- 8.1. North American AI In Mental Health Market Sales Analysis – Technology |Application| Component | Country ($ Million)
- 8.1.1. United States
- 8.1.2. Canada
- 8.2. European AI In Mental Health Market Sales Analysis – Technology |Application| Component | Country ($ Million)
- 8.2.1. UK
- 8.2.2. Germany
- 8.2.3. Italy
- 8.2.4. Spain
- 8.2.5. France
- 8.2.6. Russia
- 8.2.7. Rest of Europe
- 8.3. Asia-Pacific AI In Mental Health Market Sales Analysis – Technology |Application| Component | Country ($ Million)
- 8.3.1. China
- 8.3.2. Japan
- 8.3.3. South Korea
- 8.3.4. India
- 8.3.5. Australia & New Zealand
- 8.3.6. ASEAN Countries (Thailand, Indonesia, Vietnam, Singapore, And others)
- 8.3.7. Rest of Asia-Pacific
- 8.4. Rest of the World AI In Mental Health Market Sales Analysis – Technology |Application| Component | Country ($ Million)
- 8.4.1. Latin America
- 8.4.2. Middle East and Africa
- 9. Company Profiles
- 9.1. Calm.com, Inc.
- 9.2. Earkick AG
- 9.3. Headspace, Inc
- 9.4. HearMe, Inc.
- 9.5. Ieso Digital Health
- 9.6. Limbic Health Ltd
- 9.7. Lyra Health, Inc
- 9.8. Meru Health, Inc.
- 9.9. Mindbloom AI Limited
- 9.10. NeuroFlow
- 9.11. Numalis SAS
- 9.12. Omdena Inc.
- 9.13. Quartet Health, Inc.
- 9.14. Replika AI, Inc
- 9.15. Spring Health, Inc
- 9.16. Talkspace, Inc.
- 9.17. Woebot Health, Inc
- 9.18. Wysa Ltd.
- 9.19. X2AI, Inc.
- 9.20. Youper, Inc
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