Artificial Intelligence (AI) in Mental Health Market - Forecasts from 2024 to 2029

Artificial Intelligence (AI) in Mental Health Market - Forecasts from 2024 to 2029


The AI in mental health market is expected to grow at a CAGR of 34.50%, reaching a market size of US$6,415.697 million in 2029 from US$1,457.611 million in 2024.

AI is revolutionizing mental health by providing creative answers to the rising worldwide burden of mental diseases. With its capacity to analyze enormous amounts of data, find patterns, and provide insights, AI is transforming diagnoses, therapy, and support systems. Chatbots and virtual assistants powered by AI provide accessible and discreet mental health care, offering personalized treatments and coping techniques. Advanced natural language processing algorithms facilitate sentiment analysis and emotion recognition, thereby enabling early detection and monitoring of mental health disorders.

Algorithmic approaches can further assist in predicting treatment outcomes and personalizing therapy for patients. AI has mainly been the key factor in the current growing mental health market, based on growing awareness of mental health, demand for scaleable therapies, and technical advancement. AI has the potential to enhance the availability, cost, and efficacy of mental health treatment and thus change how people globally view and treat mental health.

Increased mental health awareness and reduced stigma contribute to market growth in AI for mental health applications.

Increased mental health awareness and associated reductions in related stigma have motivated AI expansions in the sector. People have become more vocal about mental health struggles and the importance of receiving help and treatment. According to research by the World Health Organization, globally, the stigma related to mental health has progressively decreased with time. The changing perceptions have made it easy for AI in mental health to get accepted in a positive environment as it is now available and personalized. The better understanding and de-stigmatization of mental health have increased the market size because people tend to pay more attention to wellness.

North America represents the market leadership position in the AI in Mental Health Market.

North America is one of the top markets for artificial intelligence in mental health. There are several reasons why this region has been so successful. North America has a developed healthcare system, a large foothold of technological companies, and significant investment in AI research and development. Besides, the awareness level regarding mental health issues in the region is rising, which is motivating people to seek new treatments for mental health. Furthermore, some leading AI technology companies specializing in mental health applications operate in North America. However, one should consider the fact that AI in mental health market growth is fast-paced and accelerating, and regional leading positions may change upon the advancement of other regions in the world.

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Report Coverage:

Historical data & forecasts from 2022 to 2029
Growth Opportunities, Challenges, Supply Chain Outlook, Regulatory Framework, Customer Behaviour, and Trend Analysis
Competitive Positioning, Strategies, and Market Share Analysis
Revenue Growth and Forecast Assessment of segments and regions including countries
Company Profiling (Strategies, Products, Financial Information, and Key Developments among others)

AI in the Mental Health market is segmented and analyzed as follows:

By Technology

Machine Learning
Natural Language Processing (NLP)
Deep Learning
Computer Vision
Others

By Application

Diagnosis And Treatment
Virtual Assistants And Chatbots
Mental Health Monitoring
Predictive Analytics
Others

By End-User

Hospitals And Clinics
Mental Health Centers
Research Institutions
Others

By Geography

North America
United States
Canada
Mexico
South America
Brazil
Argentina
Others
Europe
United Kingdom
Germany
France
Italy
Spain
Others
Middle East and Africa
Saudi Arabia
UAE
Others
Asia Pacific
Japan
China
India
South Korea
Indonesia
Taiwan
Others


1. INTRODUCTION
1.1. MARKET OVERVIEW
1.2. Market Definition
1.3. Scope of the Study
1.4. Market Segmentation
1.5. Currency
1.6. Assumptions
1.7. Base, and Forecast Years Timeline
2. RESEARCH METHODOLOGY
2.1. Research Data
2.2. Sources
2.3. Research Design
3. EXECUTIVE SUMMARY
3.1. Research Highlights
4. MARKET DYNAMICS
4.1. Market Drivers
4.2. Market Restraints
4.3. Porters Five Forces Analysis
4.3.1. Bargaining Power of Suppliers
4.3.2. Bargaining Power of Buyers
4.3.3. Threat of New Entrants
4.3.4. Threat of Substitutes
4.3.5. Competitive Rivalry in the Industry
4.4. Industry Value Chain Analysis
5. 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. 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. 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. AI IN MENTAL HEALTH MARKET, BY GEOGRAPHY
8.1. Introduction
8.2. North America
8.2.1. United States
8.2.2. Canada
8.2.3. Mexico
8.3. South America
8.3.1. Brazil
8.3.2. Argentina
8.3.3. Others
8.4. Europe
8.4.1. United Kingdom
8.4.2. Germany
8.4.3. France
8.4.4. Italy
8.4.5. Spain
8.4.6. Others
8.5. Middle East and Africa
8.5.1. Saudi Arabia
8.5.2. UAE
8.5.3. Others
8.6. Asia Pacific
8.6.1. Japan
8.6.2. China
8.6.3. India
8.6.4. South Korea
8.6.5. Indonesia
8.6.6. Taiwan
8.6.7. Others
9. COMPETITIVE ENVIRONMENT AND ANALYSIS
9.1. Major Players and Strategy Analysis
9.2. Emerging Players and Market Lucrativeness
9.3. Mergers, Acquisitions, Agreements, and Collaborations
9.4. Vendor Competitiveness Matrix
10. COMPANY PROFILES
10.1. GOOGLE LLC (ALPHABET INC.)
10.2. MICROSOFT CORPORATION
10.3. IBM CORPORATION
10.4. AMAZON WEB SERVICES (AWS)
10.5. INTEL CORPORATION
10.6. COGITO CORPORATION
10.7. GINGER.IO INC.
10.8. WOEBOT HEALTH
10.9. PEAR THERAPEUTICS, INC.
10.10. LANTERN (ACQUIRED BY GINGER.IO INC.)

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