AI in Mental Health Market Size, Share | Report 2023-2032
The global AI in mental health market was surpassed at USD 880.77 million in 2022 and is expected to hit around USD 22,384.27 million by 2032, growing at a CAGR of 38.2% from 2023 to 2032.
Key Pointers
Report Scope of the AI in Mental Health Market
| Report Coverage | Details |
| Market Size in 2022 | USD 880.77 million |
| Revenue Forecast by 2032 | USD 22,384.27 million |
| Growth rate from 2023 to 2032 | CAGR of 38.2% |
| Base Year | 2022 |
| Forecast Period | 2023 to 2032 |
| Regions Covered | North America, Europe, Asia Pacific, Latin America, Middle East & Africa |
| Companies Covered | Wysa Ltd, Woebot Health, Ginger, Marigold Health, Mindstrong Health, Bark Technologies, BioBeats, Cognoa, Lyra Health, MeQuilibrium, others |
The rise of digital approaches to mental health has led to the development of predictions, detections, and treatment solutions based on artificial intelligence (AI) and machine learning (ML). Digital interventions, especially web and smartphone apps, are incorporating AI to enhance mental health care and optimize the user experience. A modern data stream enables the development of mental health prediction and detection models based on data-driven AI methods.
Despite the surge in depression and anxiety triggered by the pandemic, the suicide problem has not improved. Based on trained data sets, AI algorithms identify people's behavior and mental activities and assist in suicide prevention. Suicide is prevented by detecting patterns and acting quickly to avoid negative consequences. With the adoption of AI, specialists can understand victims' mental health and address the problem earlier. In this way, it helps in reducing the number of suicides worldwide. In the field of mental healthcare, AI has been utilized. Currently, AI is being used both in clinician- and customer-marketed apps, but there are many issues with its current implementation, including efficacy, privacy, and security.
Social media and internet browsing have reduced face-to-face communication and increased loneliness because of prolonged internet use. The use of AI based mental health apps has increased due to the rise in mental disorders caused by chronic diseases like diabetes and cardiovascular disease.
In addition, poor work-life balance, poor eating habits, social isolation, hectic schedules, and relationship issues are all contributing factors to the rise of mental illness across the globe, particularly in developed and emerging countries. The creation of advanced and updated applications, as well as increased awareness among people in developing economies, are anticipated to provide prospects over the forecast period.
Regional Insights
Owing to the confluence of factors such as robust healthcare IT infrastructure, widespread adoption of AI/ML technologies across various industries, supportive government policies, lucrative funding options, and the presence of several key market players, North America (the United States, Canada, and Mexico) is expected to account for the majority of revenue share in the AI in Mental Health Market.
Furthermore, in February 2019, President Donald J. Trump of the United States announced the American AI Initiative as the country's strategy for developing artificial intelligence leadership. As part of this endeavour, federal agencies have established criteria for AI development and real-world deployment across several industrial sectors, fostering public trust in AI-based systems.
Furthermore, with over USD 23 billion in funding in 2020, the United States remains the most popular private-investment destination, followed by China with roughly USD 10 billion, despite the latter's considerable public spending. These factors have contributed to the dominance of the North American market.
On the other hand, Asia-Pacific is anticipated to register the fastest growth during the forecast period owing to the increasing investment flow in AI across Asian countries. Expansion of global market players in the Asian markets including China, India, and others is one of the key factors driving the market.
AI in Mental Health Market Segmentations:
| By Technology | By Application | By Component |
|
Machine Learning and Deep Learning Natural Language Processing (NLP) Others |
Conversational Interfaces Patient Behavioral Pattern Recognition |
Software-as-a-Service (SaaS) Hardware |
Chapter 1. Introduction
1.1. Research Objective
1.2. Scope of the Study
1.3. Definition
Chapter 2. Research Methodology
2.1. Research Approach
2.2. Data Sources
2.3. Assumptions & Limitations
Chapter 3. Executive Summary
3.1. Market Snapshot
Chapter 4. Market Variables and Scope
4.1. Introduction
4.2. Market Classification and Scope
4.3. Industry Value Chain Analysis
4.3.1. Raw Material Procurement Analysis
4.3.2. Sales and Distribution Technology Analysis
4.3.3. Downstream Buyer Analysis
Chapter 5. COVID 19 Impact on AI in Mental Health Market
5.1. COVID-19 Landscape: AI in Mental Health Industry Impact
5.2. COVID 19 - Impact Assessment for the Industry
5.3. COVID 19 Impact: Global Major Government Policy
5.4. Market Trends and Opportunities in the COVID-19 Landscape
Chapter 6. Market Dynamics Analysis and Trends
6.1. Market Dynamics
6.1.1. Market Drivers
6.1.2. Market Restraints
6.1.3. Market Opportunities
6.2. Porter’s Five Forces Analysis
6.2.1. Bargaining power of suppliers
6.2.2. Bargaining power of buyers
6.2.3. Threat of substitute
6.2.4. Threat of new entrants
6.2.5. Degree of competition
Chapter 7. Competitive Landscape
7.1.1. Company Market Share/Positioning Analysis
7.1.2. Key Strategies Adopted by Players
7.1.3. Vendor Landscape
7.1.3.1. List of Suppliers
7.1.3.2. List of Buyers
Chapter 8. Global AI in Mental Health Market, By Technology
8.1. AI in Mental Health Market, by Technology, 2023-2032
8.1.1 Machine Learning and Deep Learning
8.1.1.1. Market Revenue and Forecast (2020-2032)
8.1.2. Natural Language Processing (NLP)
8.1.2.1. Market Revenue and Forecast (2020-2032)
8.1.3. Others
8.1.3.1. Market Revenue and Forecast (2020-2032)
Chapter 9. Global AI in Mental Health Market, By Application
9.1. AI in Mental Health Market, by Application, 2023-2032
9.1.1. Conversational Interfaces
9.1.1.1. Market Revenue and Forecast (2020-2032)
9.1.2. Patient Behavioral Pattern Recognition
9.1.2.1. Market Revenue and Forecast (2020-2032)
Chapter 10. Global AI in Mental Health Market, By Component
10.1. AI in Mental Health Market, by Component, 2023-2032
10.1.1. Software-as-a-Service (SaaS)
10.1.1.1. Market Revenue and Forecast (2020-2032)
10.1.2. Hardware
10.1.2.1. Market Revenue and Forecast (2020-2032)
Chapter 11. Global AI in Mental Health Market, Regional Estimates and Trend Forecast
11.1. North America
11.1.1. Market Revenue and Forecast, by Technology (2020-2032)
11.1.2. Market Revenue and Forecast, by Application (2020-2032)
11.1.3. Market Revenue and Forecast, by Component (2020-2032)
11.1.4. U.S.
11.1.4.1. Market Revenue and Forecast, by Technology (2020-2032)
11.1.4.2. Market Revenue and Forecast, by Application (2020-2032)
11.1.4.3. Market Revenue and Forecast, by Component (2020-2032)
11.1.5. Rest of North America
11.1.5.1. Market Revenue and Forecast, by Technology (2020-2032)
11.1.5.2. Market Revenue and Forecast, by Application (2020-2032)
11.1.5.3. Market Revenue and Forecast, by Component (2020-2032)
11.2. Europe
11.2.1. Market Revenue and Forecast, by Technology (2020-2032)
11.2.2. Market Revenue and Forecast, by Application (2020-2032)
11.2.3. Market Revenue and Forecast, by Component (2020-2032)
11.2.4. UK
11.2.4.1. Market Revenue and Forecast, by Technology (2020-2032)
11.2.4.2. Market Revenue and Forecast, by Application (2020-2032)
11.2.4.3. Market Revenue and Forecast, by Component (2020-2032)
11.2.5. Germany
11.2.5.1. Market Revenue and Forecast, by Technology (2020-2032)
11.2.5.2. Market Revenue and Forecast, by Application (2020-2032)
11.2.5.3. Market Revenue and Forecast, by Component (2020-2032)
11.2.6. France
11.2.6.1. Market Revenue and Forecast, by Technology (2020-2032)
11.2.6.2. Market Revenue and Forecast, by Application (2020-2032)
11.2.6.3. Market Revenue and Forecast, by Component (2020-2032)
11.2.7. Rest of Europe
11.2.7.1. Market Revenue and Forecast, by Technology (2020-2032)
11.2.7.2. Market Revenue and Forecast, by Application (2020-2032)
11.2.7.3. Market Revenue and Forecast, by Component (2020-2032)
11.3. APAC
11.3.1. Market Revenue and Forecast, by Technology (2020-2032)
11.3.2. Market Revenue and Forecast, by Application (2020-2032)
11.3.3. Market Revenue and Forecast, by Component (2020-2032)
11.3.4. India
11.3.4.1. Market Revenue and Forecast, by Technology (2020-2032)
11.3.4.2. Market Revenue and Forecast, by Application (2020-2032)
11.3.4.3. Market Revenue and Forecast, by Component (2020-2032)
11.3.5. China
11.3.5.1. Market Revenue and Forecast, by Technology (2020-2032)
11.3.5.2. Market Revenue and Forecast, by Application (2020-2032)
11.3.5.3. Market Revenue and Forecast, by Component (2020-2032)
11.3.6. Japan
11.3.6.1. Market Revenue and Forecast, by Technology (2020-2032)
11.3.6.2. Market Revenue and Forecast, by Application (2020-2032)
11.3.6.3. Market Revenue and Forecast, by Component (2020-2032)
11.3.7. Rest of APAC
11.3.7.1. Market Revenue and Forecast, by Technology (2020-2032)
11.3.7.2. Market Revenue and Forecast, by Application (2020-2032)
11.3.7.3. Market Revenue and Forecast, by Component (2020-2032)
11.4. MEA
11.4.1. Market Revenue and Forecast, by Technology (2020-2032)
11.4.2. Market Revenue and Forecast, by Application (2020-2032)
11.4.3. Market Revenue and Forecast, by Component (2020-2032)
11.4.4. GCC
11.4.4.1. Market Revenue and Forecast, by Technology (2020-2032)
11.4.4.2. Market Revenue and Forecast, by Application (2020-2032)
11.4.4.3. Market Revenue and Forecast, by Component (2020-2032)
11.4.5. North Africa
11.4.5.1. Market Revenue and Forecast, by Technology (2020-2032)
11.4.5.2. Market Revenue and Forecast, by Application (2020-2032)
11.4.5.3. Market Revenue and Forecast, by Component (2020-2032)
11.4.6. South Africa
11.4.6.1. Market Revenue and Forecast, by Technology (2020-2032)
11.4.6.2. Market Revenue and Forecast, by Application (2020-2032)
11.4.6.3. Market Revenue and Forecast, by Component (2020-2032)
11.4.7. Rest of MEA
11.4.7.1. Market Revenue and Forecast, by Technology (2020-2032)
11.4.7.2. Market Revenue and Forecast, by Application (2020-2032)
11.4.7.3. Market Revenue and Forecast, by Component (2020-2032)
11.5. Latin America
11.5.1. Market Revenue and Forecast, by Technology (2020-2032)
11.5.2. Market Revenue and Forecast, by Application (2020-2032)
11.5.3. Market Revenue and Forecast, by Component (2020-2032)
11.5.4. Brazil
11.5.4.1. Market Revenue and Forecast, by Technology (2020-2032)
11.5.4.2. Market Revenue and Forecast, by Application (2020-2032)
11.5.4.3. Market Revenue and Forecast, by Component (2020-2032)
11.5.5. Rest of LATAM
11.5.5.1. Market Revenue and Forecast, by Technology (2020-2032)
11.5.5.2. Market Revenue and Forecast, by Application (2020-2032)
11.5.5.3. Market Revenue and Forecast, by Component (2020-2032)
Chapter 12. Company Profiles
12.1. Wysa Ltd
12.1.1. Company Overview
12.1.2. Product Offerings
12.1.3. Financial Performance
12.1.4. Recent Initiatives
12.2. Woebot Health
12.2.1. Company Overview
12.2.2. Product Offerings
12.2.3. Financial Performance
12.2.4. Recent Initiatives
12.3. Ginger
12.3.1. Company Overview
12.3.2. Product Offerings
12.3.3. Financial Performance
12.3.4. Recent Initiatives
12.4. Marigold Health
12.4.1. Company Overview
12.4.2. Product Offerings
12.4.3. Financial Performance
12.4.4. Recent Initiatives
12.5. Mindstrong Health
12.5.1. Company Overview
12.5.2. Product Offerings
12.5.3. Financial Performance
12.5.4. Recent Initiatives
12.6. Bark Technologies
12.6.1. Company Overview
12.6.2. Product Offerings
12.6.3. Financial Performance
12.6.4. Recent Initiatives
12.7. BioBeats
12.7.1. Company Overview
12.7.2. Product Offerings
12.7.3. Financial Performance
12.7.4. Recent Initiatives
12.8. Cognoa
12.8.1. Company Overview
12.8.2. Product Offerings
12.8.3. Financial Performance
12.8.4. Recent Initiatives
12.9. Lyra Health
12.9.1. Company Overview
12.9.2. Product Offerings
12.9.3. Financial Performance
12.9.4. Recent Initiatives
12.10. MeQuilibrium
12.10.1. Company Overview
12.10.2. Product Offerings
12.10.3. Financial Performance
12.10.4. Recent Initiatives
Chapter 13. Research Methodology
13.1. Primary Research
13.2. Secondary Research
13.3. Assumptions
Chapter 14. Appendix
14.1. About Us
14.2. Glossary of Terms
Cross-segment Market Size and Analysis for
Mentioned Segments
Additional Company Profiles (Upto 5 With No Cost)
Additional Countries (Apart From Mentioned Countries)
Country/Region-specific Report
Go To Market Strategy
Region Specific Market DynamicsRegion Level Market Share Import Export AnalysisProduction AnalysisOthers