Artificial Intelligence in Mental Health Market to Reach USD 1722 Million by 2031, Driven by 13.4% CAGR | Forecast 2025-2031

QY Research has recently published a report, titled "Artificial Intelligence in Mental Health - Global Market Share and Ranking, Overall Sales and Demand Forecast 2025-2031". The global Artificial Intelligence in Mental Health market is carefully analyzed in the report with large focus on market dynamics including key issues and challenges, drivers, trends, and opportunities. The report provides deep analysis of important market participants to help understand the use of leading strategies adopted in the global Artificial Intelligence in Mental Health market. It also sheds light on the industrial value chain and its expected changes during the course of the forecast period. The analysts have offered comprehensive and accurate research on prices, sales, and costs observed in the global Artificial Intelligence in Mental Health market and how they are expected to change in the coming years. The research study has been prepared with the help of latest primary and secondary research methodologies.

The global market for Artificial Intelligence in Mental Health was estimated to be worth US$ 723 million in 2024 and is forecast to a readjusted size of US$ 1722 million by 2031 with a CAGR of 13.4% during the forecast period 2025-2031.

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The researchers have provided quantitative and qualitative analysis along with absolute dollar opportunity assessment in the Artificial Intelligence in Mental Health report. Additionally, the Artificial Intelligence in Mental Health report offers Porters Five Forces analysis and PESTLE analysis for more detailed comparisons and other important studies. Each section of the Artificial Intelligence in Mental Health report has something valuable to offer to players for improving their gross margin, sales and marketing strategy, and profit margins. Using the report as a tool for gaining insightful market analysis, players can identify the much-needed changes in their operation and improve their approach to doing business. Furthermore, they will be able to give a tough competition to other players of the global Artificial Intelligence in Mental Health market while identifying key growth pockets.

Analysis of future development trends, driving factors and obstacles of Artificial Intelligence in Mental Health

I. Development Trends

Deepening of multimodal interaction and precision services

Artificial intelligence will integrate multi-dimensional data such as voice, text, facial expressions, and biological signals (such as heart rate and brain waves) to improve the accuracy of emotion recognition and psychological state assessment. For example, predicting depression risk by analyzing changes in voice intonation, or identifying anxiety patterns in combination with eye tracking technology.

Personalized intervention plans will be more in line with user needs, such as customizing chatbot dialogue strategies based on user cultural background and language habits, or using virtual reality (VR) technology to simulate user fear scenarios for desensitization training.

II. Driving Factors

Technological Breakthroughs and Cost Reductions

The maturity of technologies such as natural language processing and computer vision enables AI to interact with users more naturally and improve service accessibility. For example, chatbots can provide emotional support 24 hours a day to alleviate the shortage of psychologists. The development of cloud computing and edge computing has lowered the hardware threshold for AI applications and promoted the penetration of technology into primary medical institutions and communities.

III. Obstacles

Privacy and Security Risks

Mental health data is highly sensitive and may lead to discrimination, stigmatization and other consequences once leaked. Although technical means can reduce risks, users' concerns about data security may still hinder the acceptance of AI services. Risk of hacker attacks or algorithm abuse: Malicious users may tamper with AI models, spread false information, or induce users to engage in extreme behavior.

Competitive Landscape

One of the most important sections of the report is company profiling, where leading companies operating in the global Artificial Intelligence in Mental Health market are analyzed in quite some detail. The researchers have brought to light the top strategies, market share, regional growth, revenue growth, and markets served by these companies. The competitive landscape study explains the current nature of competition and shows whether the vendor landscape could see any changes in future. Players can use this analysis to improve their sales strategy, create new marketing tactics, or explore other business strategies.

Key Players Mentioned in the Global Artificial Intelligence in Mental Health Market Research Report:

Woebot Health
Bark Technologies
BioBeats
Cognoa
Lyra Health
meQuilibrium
Quartet Health
Spring Health
Meru
Wysa Ltd
Xunfei Healthcare
Aminer
Leading AI
Mirrorego
Shuye Intelligence
Heal AI
Xinchen AI
Wonderlab
Deepblue AI

Each segment of the global Artificial Intelligence in Mental Health market has been elaborately discussed in the report while mainly concentrating on market share, revenue, volume, future growth projections, and other critical factors. The segmental analysis will help players to become aware of untapped revenue pockets and explore new opportunities available in the global Artificial Intelligence in Mental Health market. Similarly, the report discusses about important regional markets, including North America, Asia Pacific, Europe, Latin America, and the MEA. Here, the regions are exhaustively analyzed to show how they are growing in the global Artificial Intelligence in Mental Health market. Furthermore, the report provides growth and CAGR forecasts of regional markets for all the years of the forecast period.

Segment by Type:

Software
AI Robot
Others

Segment by Application:

Diagnosis and Prediction
Personalized Treatment
Detection and Early Warning
Education and Scientific Research
Others

The report offers in-depth analysis of key regional and country-level Artificial Intelligence in Mental Health markets, taking into account their market size, CAGR, market potential, future developments, and other significant parameters. It includes geographical analysis of both developed and emerging markets for Artificial Intelligence in Mental Health. This helps readers to understand the growth pattern of the Artificial Intelligence in Mental Health market in different regions and countries. In addition, the regional analysis will provide market players an extremely important resource to plan targeted strategies to expand into key regional markets or tap into unexplored ones.

Segment by Region:

North America
United States
Canada

Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia-Pacific

Europe
Germany
France
U.K.
Italy
Netherlands
Nordic Countries
Rest of Europe

Latin America
Mexico
Brazil
Rest of Latin America

Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA

The authors of the report used advanced primary and secondary research techniques and tools to prepare the research study. The total sizes of the global Artificial Intelligence in Mental Health market and its segments were projected and validated using top-down and bottom-up approaches. In order to estimate the exact market figures of different segments and sub-segments and complete the market engineering process, the analysts used market breakdown and data triangulation procedures. The report also provides macroeconomic and microeconomic analyses of the global Artificial Intelligence in Mental Health market.

Highlights of Report

(1) Buyers of the report will have access to unique information about top 10 players of the global Artificial Intelligence in Mental Health market

(2) The report informs readers about future products and technologies to be introduced in the global Artificial Intelligence in Mental Health market

(3) Readers are offered with comprehensive analysis on key revenue pockets of the global Artificial Intelligence in Mental Health market

(4) The report provides details about long-term and short-term strategies adopted by major players of the global Artificial Intelligence in Mental Health market

(5) The authors of the report have provided demand and growth trends of the global Artificial Intelligence in Mental Health market and also its segments

(6) In the geographical analysis section, the Artificial Intelligence in Mental Health report discusses about recent market developments in different regions and countries.

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Table of Contents

1 Market Overview
1.1 Artificial Intelligence in Mental Health Product Introduction
1.2 Global Artificial Intelligence in Mental Health Market Size Forecast (2020-2031)
1.3 Artificial Intelligence in Mental Health Market Trends & Drivers
1.3.1 Artificial Intelligence in Mental Health Industry Trends
1.3.2 Artificial Intelligence in Mental Health Market Drivers & Opportunity
1.3.3 Artificial Intelligence in Mental Health Market Challenges
1.3.4 Artificial Intelligence in Mental Health Market Restraints
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered

2 Competitive Analysis by Company
2.1 Global Artificial Intelligence in Mental Health Players Revenue Ranking (2024)
2.2 Global Artificial Intelligence in Mental Health Revenue by Company (2020-2025)
2.3 Key Companies Artificial Intelligence in Mental Health Manufacturing Base Distribution and Headquarters
2.4 Key Companies Artificial Intelligence in Mental Health Product Offered
2.5 Key Companies Time to Begin Mass Production of Artificial Intelligence in Mental Health
2.6 Artificial Intelligence in Mental Health Market Competitive Analysis
2.6.1 Artificial Intelligence in Mental Health Market Concentration Rate (2020-2025)
2.6.2 Global 5 and 10 Largest Companies by Artificial Intelligence in Mental Health Revenue in 2024
2.6.3 Global Top Companies by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in Artificial Intelligence in Mental Health as of 2024)
2.7 Mergers & Acquisitions, Expansion

3 Segmentation by Type
3.1 Introduction by Type
3.1.1 Software
3.1.2 AI Robot
3.1.3 Others
3.2 Global Artificial Intelligence in Mental Health Sales Value by Type
3.2.1 Global Artificial Intelligence in Mental Health Sales Value by Type (2020 VS 2024 VS 2031)
3.2.2 Global Artificial Intelligence in Mental Health Sales Value, by Type (2020-2031)
3.2.3 Global Artificial Intelligence in Mental Health Sales Value, by Type (%) (2020-2031)

4 Segmentation by Application
4.1 Introduction by Application
4.1.1 Diagnosis and Prediction
4.1.2 Personalized Treatment
4.1.3 Detection and Early Warning
4.1.4 Education and Scientific Research
4.1.5 Others
4.2 Global Artificial Intelligence in Mental Health Sales Value by Application
4.2.1 Global Artificial Intelligence in Mental Health Sales Value by Application (2020 VS 2024 VS 2031)
4.2.2 Global Artificial Intelligence in Mental Health Sales Value, by Application (2020-2031)
4.2.3 Global Artificial Intelligence in Mental Health Sales Value, by Application (%) (2020-2031)

5 Segmentation by Region
5.1 Global Artificial Intelligence in Mental Health Sales Value by Region
5.1.1 Global Artificial Intelligence in Mental Health Sales Value by Region: 2020 VS 2024 VS 2031
5.1.2 Global Artificial Intelligence in Mental Health Sales Value by Region (2020-2025)
5.1.3 Global Artificial Intelligence in Mental Health Sales Value by Region (2026-2031)
5.1.4 Global Artificial Intelligence in Mental Health Sales Value by Region (%), (2020-2031)
5.2 North America
5.2.1 North America Artificial Intelligence in Mental Health Sales Value, 2020-2031
5.2.2 North America Artificial Intelligence in Mental Health Sales Value by Country (%), 2024 VS 2031
5.3 Europe
5.3.1 Europe Artificial Intelligence in Mental Health Sales Value, 2020-2031
5.3.2 Europe Artificial Intelligence in Mental Health Sales Value by Country (%), 2024 VS 2031
5.4 Asia Pacific
5.4.1 Asia Pacific Artificial Intelligence in Mental Health Sales Value, 2020-2031
5.4.2 Asia Pacific Artificial Intelligence in Mental Health Sales Value by Region (%), 2024 VS 2031
5.5 South America
5.5.1 South America Artificial Intelligence in Mental Health Sales Value, 2020-2031
5.5.2 South America Artificial Intelligence in Mental Health Sales Value by Country (%), 2024 VS 2031
5.6 Middle East & Africa
5.6.1 Middle East & Africa Artificial Intelligence in Mental Health Sales Value, 2020-2031
5.6.2 Middle East & Africa Artificial Intelligence in Mental Health Sales Value by Country (%), 2024 VS 2031

6 Segmentation by Key Countries/Regions
6.1 Key Countries/Regions Artificial Intelligence in Mental Health Sales Value Growth Trends, 2020 VS 2024 VS 2031
6.2 Key Countries/Regions Artificial Intelligence in Mental Health Sales Value, 2020-2031
6.3 United States
6.3.1 United States Artificial Intelligence in Mental Health Sales Value, 2020-2031
6.3.2 United States Artificial Intelligence in Mental Health Sales Value by Type (%), 2024 VS 2031
6.3.3 United States Artificial Intelligence in Mental Health Sales Value by Application, 2024 VS 2031
6.4 Europe
6.4.1 Europe Artificial Intelligence in Mental Health Sales Value, 2020-2031
6.4.2 Europe Artificial Intelligence in Mental Health Sales Value by Type (%), 2024 VS 2031
6.4.3 Europe Artificial Intelligence in Mental Health Sales Value by Application, 2024 VS 2031
6.5 China
6.5.1 China Artificial Intelligence in Mental Health Sales Value, 2020-2031
6.5.2 China Artificial Intelligence in Mental Health Sales Value by Type (%), 2024 VS 2031
6.5.3 China Artificial Intelligence in Mental Health Sales Value by Application, 2024 VS 2031
6.6 Japan
6.6.1 Japan Artificial Intelligence in Mental Health Sales Value, 2020-2031
6.6.2 Japan Artificial Intelligence in Mental Health Sales Value by Type (%), 2024 VS 2031
6.6.3 Japan Artificial Intelligence in Mental Health Sales Value by Application, 2024 VS 2031
6.7 South Korea
6.7.1 South Korea Artificial Intelligence in Mental Health Sales Value, 2020-2031
6.7.2 South Korea Artificial Intelligence in Mental Health Sales Value by Type (%), 2024 VS 2031
6.7.3 South Korea Artificial Intelligence in Mental Health Sales Value by Application, 2024 VS 2031
6.8 Southeast Asia
6.8.1 Southeast Asia Artificial Intelligence in Mental Health Sales Value, 2020-2031
6.8.2 Southeast Asia Artificial Intelligence in Mental Health Sales Value by Type (%), 2024 VS 2031
6.8.3 Southeast Asia Artificial Intelligence in Mental Health Sales Value by Application, 2024 VS 2031
6.9 India
6.9.1 India Artificial Intelligence in Mental Health Sales Value, 2020-2031
6.9.2 India Artificial Intelligence in Mental Health Sales Value by Type (%), 2024 VS 2031
6.9.3 India Artificial Intelligence in Mental Health Sales Value by Application, 2024 VS 2031

7 Company Profiles
7.1 Woebot Health
7.1.1 Woebot Health Profile
7.1.2 Woebot Health Main Business
7.1.3 Woebot Health Artificial Intelligence in Mental Health Products, Services and Solutions
7.1.4 Woebot Health Artificial Intelligence in Mental Health Revenue (US$ Million) & (2020-2025)
7.1.5 Woebot Health Recent Developments
7.2 Bark Technologies
7.2.1 Bark Technologies Profile
7.2.2 Bark Technologies Main Business
7.2.3 Bark Technologies Artificial Intelligence in Mental Health Products, Services and Solutions
7.2.4 Bark Technologies Artificial Intelligence in Mental Health Revenue (US$ Million) & (2020-2025)
7.2.5 Bark Technologies Recent Developments
7.3 BioBeats
7.3.1 BioBeats Profile
7.3.2 BioBeats Main Business
7.3.3 BioBeats Artificial Intelligence in Mental Health Products, Services and Solutions
7.3.4 BioBeats Artificial Intelligence in Mental Health Revenue (US$ Million) & (2020-2025)
7.3.5 BioBeats Recent Developments
7.4 Cognoa
7.4.1 Cognoa Profile
7.4.2 Cognoa Main Business
7.4.3 Cognoa Artificial Intelligence in Mental Health Products, Services and Solutions
7.4.4 Cognoa Artificial Intelligence in Mental Health Revenue (US$ Million) & (2020-2025)
7.4.5 Cognoa Recent Developments
7.5 Lyra Health
7.5.1 Lyra Health Profile
7.5.2 Lyra Health Main Business
7.5.3 Lyra Health Artificial Intelligence in Mental Health Products, Services and Solutions
7.5.4 Lyra Health Artificial Intelligence in Mental Health Revenue (US$ Million) & (2020-2025)
7.5.5 Lyra Health Recent Developments
7.6 meQuilibrium
7.6.1 meQuilibrium Profile
7.6.2 meQuilibrium Main Business
7.6.3 meQuilibrium Artificial Intelligence in Mental Health Products, Services and Solutions
7.6.4 meQuilibrium Artificial Intelligence in Mental Health Revenue (US$ Million) & (2020-2025)
7.6.5 meQuilibrium Recent Developments
7.7 Quartet Health
7.7.1 Quartet Health Profile
7.7.2 Quartet Health Main Business
7.7.3 Quartet Health Artificial Intelligence in Mental Health Products, Services and Solutions
7.7.4 Quartet Health Artificial Intelligence in Mental Health Revenue (US$ Million) & (2020-2025)
7.7.5 Quartet Health Recent Developments
7.8 Spring Health
7.8.1 Spring Health Profile
7.8.2 Spring Health Main Business
7.8.3 Spring Health Artificial Intelligence in Mental Health Products, Services and Solutions
7.8.4 Spring Health Artificial Intelligence in Mental Health Revenue (US$ Million) & (2020-2025)
7.8.5 Spring Health Recent Developments
7.9 Meru
7.9.1 Meru Profile
7.9.2 Meru Main Business
7.9.3 Meru Artificial Intelligence in Mental Health Products, Services and Solutions
7.9.4 Meru Artificial Intelligence in Mental Health Revenue (US$ Million) & (2020-2025)
7.9.5 Meru Recent Developments
7.10 Wysa Ltd
7.10.1 Wysa Ltd Profile
7.10.2 Wysa Ltd Main Business
7.10.3 Wysa Ltd Artificial Intelligence in Mental Health Products, Services and Solutions
7.10.4 Wysa Ltd Artificial Intelligence in Mental Health Revenue (US$ Million) & (2020-2025)
7.10.5 Wysa Ltd Recent Developments
7.11 Xunfei Healthcare
7.11.1 Xunfei Healthcare Profile
7.11.2 Xunfei Healthcare Main Business
7.11.3 Xunfei Healthcare Artificial Intelligence in Mental Health Products, Services and Solutions
7.11.4 Xunfei Healthcare Artificial Intelligence in Mental Health Revenue (US$ Million) & (2020-2025)
7.11.5 Xunfei Healthcare Recent Developments
7.12 Aminer
7.12.1 Aminer Profile
7.12.2 Aminer Main Business
7.12.3 Aminer Artificial Intelligence in Mental Health Products, Services and Solutions
7.12.4 Aminer Artificial Intelligence in Mental Health Revenue (US$ Million) & (2020-2025)
7.12.5 Aminer Recent Developments
7.13 Leading AI
7.13.1 Leading AI Profile
7.13.2 Leading AI Main Business
7.13.3 Leading AI Artificial Intelligence in Mental Health Products, Services and Solutions
7.13.4 Leading AI Artificial Intelligence in Mental Health Revenue (US$ Million) & (2020-2025)
7.13.5 Leading AI Recent Developments
7.14 Mirrorego
7.14.1 Mirrorego Profile
7.14.2 Mirrorego Main Business
7.14.3 Mirrorego Artificial Intelligence in Mental Health Products, Services and Solutions
7.14.4 Mirrorego Artificial Intelligence in Mental Health Revenue (US$ Million) & (2020-2025)
7.14.5 Mirrorego Recent Developments
7.15 Shuye Intelligence
7.15.1 Shuye Intelligence Profile
7.15.2 Shuye Intelligence Main Business
7.15.3 Shuye Intelligence Artificial Intelligence in Mental Health Products, Services and Solutions
7.15.4 Shuye Intelligence Artificial Intelligence in Mental Health Revenue (US$ Million) & (2020-2025)
7.15.5 Shuye Intelligence Recent Developments
7.16 Heal AI
7.16.1 Heal AI Profile
7.16.2 Heal AI Main Business
7.16.3 Heal AI Artificial Intelligence in Mental Health Products, Services and Solutions
7.16.4 Heal AI Artificial Intelligence in Mental Health Revenue (US$ Million) & (2020-2025)
7.16.5 Heal AI Recent Developments
7.17 Xinchen AI
7.17.1 Xinchen AI Profile
7.17.2 Xinchen AI Main Business
7.17.3 Xinchen AI Artificial Intelligence in Mental Health Products, Services and Solutions
7.17.4 Xinchen AI Artificial Intelligence in Mental Health Revenue (US$ Million) & (2020-2025)
7.17.5 Xinchen AI Recent Developments
7.18 Wonderlab
7.18.1 Wonderlab Profile
7.18.2 Wonderlab Main Business
7.18.3 Wonderlab Artificial Intelligence in Mental Health Products, Services and Solutions
7.18.4 Wonderlab Artificial Intelligence in Mental Health Revenue (US$ Million) & (2020-2025)
7.18.5 Wonderlab Recent Developments
7.19 Deepblue AI
7.19.1 Deepblue AI Profile
7.19.2 Deepblue AI Main Business
7.19.3 Deepblue AI Artificial Intelligence in Mental Health Products, Services and Solutions
7.19.4 Deepblue AI Artificial Intelligence in Mental Health Revenue (US$ Million) & (2020-2025)
7.19.5 Deepblue AI Recent Developments

8 Industry Chain Analysis
8.1 Artificial Intelligence in Mental Health Industrial Chain
8.2 Artificial Intelligence in Mental Health Upstream Analysis
8.2.1 Key Raw Materials
8.2.2 Raw Materials Key Suppliers
8.2.3 Manufacturing Cost Structure
8.3 Midstream Analysis
8.4 Downstream Analysis (Customers Analysis)
8.5 Sales Model and Sales Channels
8.5.1 Artificial Intelligence in Mental Health Sales Model
8.5.2 Sales Channel
8.5.3 Artificial Intelligence in Mental Health Distributors

9 Research Findings and Conclusion

10 Appendix
10.1 Research Methodology
10.1.1 Methodology/Research Approach
10.1.1.1 Research Programs/Design
10.1.1.2 Market Size Estimation
10.1.1.3 Market Breakdown and Data Triangulation
10.1.2 Data Source
10.1.2.1 Secondary Sources
10.1.2.2 Primary Sources
10.2 Author Details
10.3 Disclaimer

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