AI In Mental Health Market Summary
The global AI in mental health market size was estimated at USD 1.71 billion in 2025 and is projected to reach USD 9.12 billion by 2033, at a CAGR of 23.29% from 2026 to 2033. The market growth is driven by factors such as the increasing prevalence of mental disorders and heightened awareness regarding mental health as a significant health concern.
According to a June 2022 World Health Organization (WHO) report, approximately 970 million people worldwide were living with a mental disorder in 2019, with depression and anxiety being the most prevalent. These organizations are taking several steps to implement and promote AI technologies in mental health. For instance, in April 2024, the WHO launched S.A.R.A.H., a groundbreaking digital health promoter prototype. Powered by advanced generative AI, S.A.R.A.H. features an enhanced empathetic response capability. Utilizing new language models and cutting-edge technology, it provides 24/7 engagement on various health topics, accessible in 8 languages and available on any device.
Governments worldwide are increasingly recognizing the significant role of AI in advancing mental healthcare and are allocating funding to support research and development in this field. For instance, according to an article by the National Institutes of Health (NIH) published in June 2023, the National Institute of Mental Health (NIMH), a division of the US National Institutes of Health, has allocated funds for over 400 grants dedicated to research into advanced technologies such as AI and machine learning applications for mental health. Moreover, the growth of telehealth services has highlighted the need for remote mental health screening tools that can be seamlessly integrated into virtual care delivery systems.
Technological advancements in AI, including machine learning (ML) and natural language processing (NLP), have enabled the development of sophisticated tools that can diagnose, monitor, and treat mental health conditions with greater accuracy and personalization. Increased investment from venture capitalists and private equity firms has provided funding for startups and established companies to innovate and expand their offerings. Additionally, the growing acceptance of digital health solutions among healthcare providers and patients has facilitated the integration of AI technologies into everyday mental healthcare practices. These drivers collectively propel AI in the mental health market toward greater innovation, efficiency, and effectiveness in delivering accessible, personalized care.
Global AI In Mental Health Market Report Segmentation
This report forecasts revenue growth at the global, regional, and country levels and provides an analysis of the latest industry trends in each of the sub-segments from 2021 to 2033. For this study, Grand View Research has segmented the global AI in mental health market report based on offering, technology, disorder, and region:
- Offering Outlook (Revenue, USD Million, 2021 - 2033)
- Software
- Services
- Technology Outlook (Revenue, USD Million, 2021 - 2033)
- Machine Learning
- Natural Language Processing
- Text Analytics
- Speech Analytics
- Smart Assistance
- Others
- Others
- Disorder Outlook (Revenue, USD Million, 2021 - 2033)
- Anxiety
- Depression
- Schizophrenia
- Post-Traumatic Stress Disorder (PTSD)
- Insomnia
- Others
- Regional Outlook (Revenue, USD Million, 2021 - 2033)
- North America
- Europe
- Germany
- UK
- France
- Italy
- Spain
- Denmark
- Sweden
- Norway
- Asia Pacific
- China
- Japan
- India
- South Korea
- Australia
- Thailand
- Latin America
- MEA
- South Africa
- Saudi Arabia
- UAE
- Kuwait
Table of Contents
Chapter 1. Methodology and Scope
- 1.1. Market Segmentation & Scope
- 1.2. Market Definitions
- 1.2.1. Offering Segment
- 1.2.2. Technology Segment
- 1.2.3. Disorder Segment
- 1.3. Information analysis
- 1.3.1. Market formulation & data visualization
- 1.4. Data validation & publishing
- 1.5. Information Procurement
- 1.6. Information or Data Analysis
- 1.7. Market Formulation & Validation
- 1.8. Market Model
- 1.9. Total Market: CAGR Calculation
- 1.10. Objectives
- 1.10.1. Objective 1
- 1.10.2. Objective 2
Chapter 2. Executive Summary
- 2.1. Market Outlook
- 2.2. Segment Snapshot
- 2.3. Competitive Insights Landscape
Chapter 3. Artificial Intelligence in Mental Health Market Variables, Trends & Scope
- 3.1. Market Lineage Outlook
- 3.1.1. Parent market outlook
- 3.1.2. Related/ancillary market outlook.
- 3.2. Market Dynamics
- 3.2.1. Market driver analysis
- 3.2.2. Market restraint analysis
- 3.2.3. Market opportunity analysis
- 3.2.4. Market challenges analysis
- 3.3. Artificial Intelligence in Mental Health Market Analysis Tools
- 3.3.1. Industry Analysis - Porter's
- 3.3.1.1. Supplier power
- 3.3.1.2. Buyer power
- 3.3.1.3. Substitution threat
- 3.3.1.4. Threat of new entrant
- 3.3.1.5. Competitive rivalry
- 3.3.2. PESTEL Analysis
- 3.3.2.1. Political landscape
- 3.3.2.2. Technological landscape
- 3.3.2.3. Economic landscape
- 3.3.2.4. Environmental Landscape
- 3.3.2.5. Legal Landscape
- 3.3.2.6. Social Landscape
Chapter 4. Artificial Intelligence in Mental Health Market: Offering Estimates & Trend Analysis
- 4.1. Segment Dashboard
- 4.2. Global Artificial Intelligence in Mental Health Market Offering Movement Analysis
- 4.3. Global Artificial Intelligence in Mental Health Market Size & Trend Analysis, by Offering, 2021 to 2033 (USD Million)
- 4.4. Software
- 4.4.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
- 4.5. Services
- 4.5.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
Chapter 5. Artificial Intelligence in Mental Health Market: Technology Estimates & Trend Analysis
- 5.1. Segment Dashboard
- 5.2. Global Artificial Intelligence in Mental Health Market Technology Movement Analysis
- 5.3. Global Artificial Intelligence in Mental Health Market Size & Trend Analysis, by Technology, 2021 to 2033 (USD Million)
- 5.4. Machine Learning
- 5.4.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
- 5.4.2. Deep Learning
- 5.4.2.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
- 5.4.3. Others
- 5.4.3.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
- 5.5. Natural Language Processing (NLP)
- 5.5.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
- 5.5.2. Text Analytics
- 5.5.2.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
- 5.5.3. Speech Analytics
- 5.5.3.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
- 5.5.4. Smart Assistance
- 5.5.4.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
- 5.5.5. Others
- 5.5.5.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
- 5.6. Others
- 5.6.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
Chapter 6. Artificial Intelligence in Mental Health Market: Disorder Estimates & Trend Analysis
- 6.1. Segment Dashboard
- 6.2. Global Artificial Intelligence in Mental Health Market Disorder Movement Analysis
- 6.3. Global Artificial Intelligence in Mental Health Market Size & Trend Analysis, by Disorder, 2021 to 2033 (USD Million)
- 6.4. Anxiety
- 6.4.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
- 6.5. Depression
- 6.5.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
- 6.6. Schizophrenia
- 6.6.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
- 6.7. Post-Traumatic Stress Disorder (PTSD)
- 6.7.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
- 6.8. Insomnia
- 6.8.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
- 6.9. Others
- 6.9.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
Chapter 7. Artificial Intelligence in Mental Health Market: Regional Estimates & Trend Analysis
- 7.1. Regional Market Share Analysis, 2025 & 2033
- 7.2. Regional Market Dashboard
- 7.3. Market Size & Forecasts Trend Analysis, 2021 to 2033:
- 7.4. North America
- 7.4.1. U.S.
- 7.4.1.1. Key country dynamics
- 7.4.1.2. Regulatory framework
- 7.4.1.3. Competitive scenario
- 7.4.1.4. U.S. market estimates and forecasts 2021 to 2033 (USD Million)
- 7.4.2. Canada
- 7.4.2.1. Key country dynamics
- 7.4.2.2. Regulatory framework
- 7.4.2.3. Competitive scenario
- 7.4.2.4. Canada market estimates and forecasts 2021 to 2033 (USD Million)
- 7.4.3. Mexico
- 7.4.3.1. Key country dynamics
- 7.4.3.2. Regulatory framework
- 7.4.3.3. Competitive scenario
- 7.4.3.4. Mexico market estimates and forecasts 2021 to 2033 (USD Million)
- 7.5. Europe
- 7.5.1. UK
- 7.5.1.1. Key country dynamics
- 7.5.1.2. Regulatory framework
- 7.5.1.3. Competitive scenario
- 7.5.1.4. UK market estimates and forecasts 2021 to 2033 (USD Million)
- 7.5.2. Germany
- 7.5.2.1. Key country dynamics
- 7.5.2.2. Regulatory framework
- 7.5.2.3. Competitive scenario
- 7.5.2.4. Germany market estimates and forecasts 2021 to 2033 (USD Million)
- 7.5.3. France
- 7.5.3.1. Key country dynamics
- 7.5.3.2. Regulatory framework
- 7.5.3.3. Competitive scenario
- 7.5.3.4. France market estimates and forecasts 2021 to 2033 (USD Million)
- 7.5.4. Italy
- 7.5.4.1. Key country dynamics
- 7.5.4.2. Regulatory framework
- 7.5.4.3. Competitive scenario
- 7.5.4.4. Italy market estimates and forecasts 2021 to 2033 (USD Million)
- 7.5.5. Spain
- 7.5.5.1. Key country dynamics
- 7.5.5.2. Regulatory framework
- 7.5.5.3. Competitive scenario
- 7.5.5.4. Spain market estimates and forecasts 2021 to 2033 (USD Million)
- 7.5.6. Norway
- 7.5.6.1. Key country dynamics
- 7.5.6.2. Regulatory framework
- 7.5.6.3. Competitive scenario
- 7.5.6.4. Norway market estimates and forecasts 2021 to 2033 (USD Million)
- 7.5.7. Sweden
- 7.5.7.1. Key country dynamics
- 7.5.7.2. Regulatory framework
- 7.5.7.3. Competitive scenario
- 7.5.7.4. Sweden market estimates and forecasts 2021 to 2033 (USD Million)
- 7.5.8. Denmark
- 7.5.8.1. Key country dynamics
- 7.5.8.2. Regulatory framework
- 7.5.8.3. Competitive scenario
- 7.5.8.4. Denmark market estimates and forecasts 2021 to 2033 (USD Million)
- 7.6. Asia Pacific
- 7.6.1. Japan
- 7.6.1.1. Key country dynamics
- 7.6.1.2. Regulatory framework
- 7.6.1.3. Competitive scenario
- 7.6.1.4. Japan market estimates and forecasts 2021 to 2033 (USD Million)
- 7.6.2. China
- 7.6.2.1. Key country dynamics
- 7.6.2.2. Regulatory framework
- 7.6.2.3. Competitive scenario
- 7.6.2.4. China market estimates and forecasts 2021 to 2033 (USD Million)
- 7.6.3. India
- 7.6.3.1. Key country dynamics
- 7.6.3.2. Regulatory framework
- 7.6.3.3. Competitive scenario
- 7.6.3.4. India market estimates and forecasts 2021 to 2033 (USD Million)
- 7.6.4. Australia
- 7.6.4.1. Key country dynamics
- 7.6.4.2. Regulatory framework
- 7.6.4.3. Competitive scenario
- 7.6.4.4. Australia market estimates and forecasts 2021 to 2033 (USD Million)
- 7.6.5. South Korea
- 7.6.5.1. Key country dynamics
- 7.6.5.2. Regulatory framework
- 7.6.5.3. Competitive scenario
- 7.6.5.4. South Korea market estimates and forecasts 2021 to 2033 (USD Million)
- 7.6.6. Thailand
- 7.6.6.1. Key country dynamics
- 7.6.6.2. Regulatory framework
- 7.6.6.3. Competitive scenario
- 7.6.6.4. Thailand market estimates and forecasts 2021 to 2033 (USD Million)
- 7.7. Latin America
- 7.7.1. Brazil
- 7.7.1.1. Key country dynamics
- 7.7.1.2. Regulatory framework
- 7.7.1.3. Competitive scenario
- 7.7.1.4. Brazil market estimates and forecasts 2021 to 2033 (USD Million)
- 7.7.2. Argentina
- 7.7.2.1. Key country dynamics
- 7.7.2.2. Regulatory framework
- 7.7.2.3. Competitive scenario
- 7.7.2.4. Argentina market estimates and forecasts 2021 to 2033 (USD Million)
- 7.8. MEA
- 7.8.1. South Africa
- 7.8.1.1. Key country dynamics
- 7.8.1.2. Regulatory framework
- 7.8.1.3. Competitive scenario
- 7.8.1.4. South Africa market estimates and forecasts 2021 to 2033 (USD Million)
- 7.8.2. Saudi Arabia
- 7.8.2.1. Key country dynamics
- 7.8.2.2. Regulatory framework
- 7.8.2.3. Competitive scenario
- 7.8.2.4. Saudi Arabia market estimates and forecasts 2021 to 2033 (USD Million)
- 7.8.3. UAE
- 7.8.3.1. Key country dynamics
- 7.8.3.2. Regulatory framework
- 7.8.3.3. Competitive scenario
- 7.8.3.4. UAE market estimates and forecasts 2021 to 2033 (USD Million)
- 7.8.4. Kuwait
- 7.8.4.1. Key country dynamics
- 7.8.4.2. Regulatory framework
- 7.8.4.3. Competitive scenario
- 7.8.4.4. Kuwait market estimates and forecasts 2021 to 2033 (USD Million)
Chapter 8. Competitive Landscape
- 8.1. Company/Competition Categorization
- 8.2. Strategy Mapping
- 8.3. Company Market Position Analysis, 2025
- 8.4. Company Profiles/Listing
- 8.4.1. Wysa Ltd
- 8.4.1.1. Company overview
- 8.4.1.2. Financial performance
- 8.4.1.3. Technology type benchmarking
- 8.4.1.4. Strategic initiatives
- 8.4.2. Woebot Health
- 8.4.2.1. Company overview
- 8.4.2.2. Financial performance
- 8.4.2.3. Technology type benchmarking
- 8.4.2.4. Strategic initiatives
- 8.4.3. Spring Care, Inc.
- 8.4.3.1. Company overview
- 8.4.3.2. Financial performance
- 8.4.3.3. Technology type benchmarking
- 8.4.3.4. Strategic initiatives
- 8.4.4. Lyra Health, Inc.
- 8.4.4.1. Company overview
- 8.4.4.2. Financial performance
- 8.4.4.3. Technology type benchmarking
- 8.4.4.4. Strategic initiatives
- 8.4.5. Syra Health
- 8.4.5.1. Company overview
- 8.4.5.2. Financial performance
- 8.4.5.3. Technology type benchmarking
- 8.4.5.4. Strategic initiatives
- 8.4.6. Limbic
- 8.4.6.1. Company overview
- 8.4.6.2. Financial performance
- 8.4.6.3. Technology type benchmarking
- 8.4.6.4. Strategic initiatives
- 8.4.7. Kintsugi Mindful Wellness, Inc
- 8.4.7.1. Company overview
- 8.4.7.2. Financial performance
- 8.4.7.3. Technology type benchmarking
- 8.4.7.4. Strategic initiatives
- 8.4.8. Aiberry
- 8.4.8.1. Company overview
- 8.4.8.2. Financial performance
- 8.4.8.3. Technology type benchmarking
- 8.4.8.4. Strategic initiatives
- 8.4.9. Ellipsis Health
- 8.4.9.1. Company overview
- 8.4.9.2. Financial performance
- 8.4.9.3. Technology type benchmarking
- 8.4.9.4. Strategic initiatives
- 8.4.10. HEADSPACE HEALTH
- 8.4.10.1. Company overview
- 8.4.10.2. Financial performance
- 8.4.10.3. Technology type benchmarking
- 8.4.10.4. Strategic initiatives