Artificial Intelligence (AI) In Mental Health Market Size, Share, Opportunities, And Trends 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), And By Geography - 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.

What are the AI in mental health market growth drivers?

• 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.

• Scalability and Cost-Effectiveness of AI Solutions in AI in Mental Health Market.

Scalability and cost-effectiveness represent the core of AI in the mental health sector’s growth. It is because of AI technologies that reach out to several people simultaneously, thus allowing scalable interventions and services. AI-based chatbots and virtual assistants can serve multiple users in line at the same time, reducing the waiting time and increasing access. Further, AI-based solutions cost less than the other options, which save money by minimizing human resources, such as mental health professionals, for routine work.

As research published in the Journal of Medical Internet Research explains, AI-driven mental health therapy can significantly lessen healthcare costs compared to traditional approaches. AI technologies promise prospects for meeting the increasing demand for mental health care services and, therefore, fill the gaps in the mental health sector because they are scalable and cost-effective.

• Early Detection and Prevention of Mental Health Conditions boost the AI in Mental Health Market Size.

Early detection and prevention of mental health problems with roots in data-driven approaches are relevant issues in AI and its relationship with mental health issues. According to the National Institute of Mental Health, over half of mental illnesses occur before a person reaches age 14, revealing an urgent need for early intervention. AI systems can scan precursory signs of mental illnesses through analysis of various data inputs, including status updates on social media, online activities, and physiological indicators. A study published in the journal Nature Medicine has already proven, according to electronic health data, that machine learning algorithms can predict with a very high degree of accuracy when mental diseases are going to begin.

AI predicts and identifies vulnerable people in advance, prompting immediate treatments and prevention measures and lessening the depth and impact of mental health issues. The ability of AI to assist with early identification and prevention is among the biggest opportunities to change the direction of mental health practice and improve outcomes for people everywhere.

What are the key geographical trends shaping the AI in mental health market?

• 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.

• Companies collaborating with AI in the mental health market include technology companies and mental health institutions.

Major collaborations between technology companies and mental health organizations have been key in facilitating innovation and growth in artificial intelligence in the mental health industries. For instance, Mindstrong Health and Verily teamed up to use AI to track smartphone usage habits and their changes early enough to identify potential mental health disorders. This type of collaboration becomes significant when the expertise of technology companies is combined with that of mental health institutions, integrating technical advancements with clinical knowledge to offer innovative and effective solutions for mental health issues.

Recent developments in the AI in mental health market

• In May 2022, Pediatric behavioral health startup Cognoa said that it had launched a real-world evidence study for its novel AI-based software as a medical device, Canvas Dx, in collaboration with the help of the University of Missouri’s ECHO Autism Communities Research Team. The ECHO Autism Communities program is a tele-mentoring program that makes participating doctors more knowledgeable about diagnosing and treating autism spectrum disorder (ASD).

AI in Mental Health Market Company Products:

• Virtual Therapy Services: Ginger offers virtual therapy services by connecting clients with licensed therapists through video sessions. Here, people can be matched with appropriate therapists for their needs and interests and the treatment modality through AI algorithms.
• Digital Therapies: Lyra Health is a digital treatment program offering evidence-based therapies for mental health disorders through AI algorithms. It has equipped such modules with interactive exercises and tools to guide and manage their mental health.
• AI-Based Screening and Assessment: Cognoa uses artificial intelligence algorithms to screen and assess children's developmental and behavioral health. AI algorithms could possibly identify problems and give early warning signs of potential conditions such as ASD or ADHD through digital surveys and data analysis.
• 24/7 Availability: At X2AI, the AI chatbot is available 24 hours a day, seven days a week, meaning individuals can request help and advice anytime. The tool further increased accessibility and ensured that people in need continued to receive assistance.

Artificial Intelligence (AI) In Mental Health Market Scope:

Report Metric	Details
AI in Mental Health Market Size in 2024	US$1,457.611 million
AI in Mental Health Market Size in 2029	US$6,415.697 million
Growth Rate	CAGR of 34.50%
Study Period	2019 to 2029
Historical Data	2019 to 2022
Base Year	2024
Forecast Period	2024 – 2029
Forecast Unit (Value)	USD Million
Segmentation	Technology Application End-User Geography
Geographical Segmentation	North America, South America, Europe, Middle East and Africa, Asia Pacific
List of Major Companies in AI in Mental Health Market	Microsoft Corporation IBM Corporation Intel Corporation Cogito Corporation Ginger.Io Inc.
Customization Scope	Free report customization with purchase

 

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

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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.)   

Google LLC (Alphabet Inc.)

Microsoft Corporation

IBM Corporation

Amazon Web Services (AWS)

Intel Corporation

Cogito Corporation

Ginger.Io Inc.

Woebot Health

Pear Therapeutics, Inc.

Lantern (Acquired By Ginger.Io Inc.)