The global AI in Mental Health market size in 2023 is 1258.1 million US dollars, and it is expected to be 11690.8 million US dollars by 2030, with a compound annual growth rate of 37.5% expected in 2024-2030.
MARKET COMPETITIVE LANDSCAPE:
The main players in the AI in Mental Health market include OM1, Cognoa, Lyra Health, Inc, Marigold Health, and New Life Solution, Inc. The share of the top 3 players in the AI in Mental Health market is XX%.
REGION SHARE:
The report covers the market size information of North America, Europe, Asia Pacific, Latin America, Middle East and Africa, and North America accounted for XX%, Europe accounted for XX% of AI in Mental Health market, and Asia Pacific accounted for XX%.
SEGMENT OVERVIEW:
The report segments the market by Type and Application. Software-as-a-Service accounted for XX% of AI in Mental Health market in 2023. Hardware share of XX%.
Conversational Interfaces accounted for XX% of the AI in Mental Health market in 2023. Patient Behavioral Pattern Recognition accounts for XX%.
This AI in Mental Health market report provides detailed information on latest developments, trade regulations, value chain optimization, market share, impact of domestic and local market players, analyzes emerging revenue sources, market regulation changes Opportunities in Aspects, Strategic Market Growth Analysis, Market Size, Category Market Growth, Application Areas and Dominance, Product Approvals, Product Launches, Geographic Expansion, Technological Innovations in the Market.
AI in Mental Health market country level analysis
The countries covered in the AI in Mental Health market report include the United States, Canada, Germany, United Kingdom, France, Russia, Japan, China, India, South Korea, Brazil, UAE, Saudi Arabia, etc.
The presence and availability of global brands and challenges due to intense or scarce competition from local and domestic brands, and trade routes are also considered while providing the predictive analysis of country data.
Competitive Landscape and AI in Mental Health Market Share Analysis
AI in Mental Health market competitive landscape provides details by competitors. The detailed information includes company profile, company financials, revenue generated, market potential, R&D investments, new market plans, global reach. The data points presented above relate only to companies relevant to the AI in Mental Health market.
Chapter Outline
Chapter 1: Introduces the product overview, market scope, economic analysis of global regions, and industry dynamic analysis, and then includes inflation analysis, the impact of the Russo-Ukrainian war on the market, and the global impact of the coronavirus disease (COVID-19).
Chapter 2: Analyzes the main companies in the AI in Mental Health industry, including their main businesses, products/services, revenue, gross margin, and SWOT Analysis.
Chapter 3: Analysis of the competitive environment of AI in Mental Health market participants. This mainly includes the revenue and market share of the top players, along with the players” M&A and new entrants and expansion plans.
Chapters 4-6: Segmented the global AI in Mental Health market by type, application and region. Analyze the revenue of market segments from different perspectives.
Chapters 7-11: Provide North America, Europe, Asia-Pacific, Latin America and Middle East & Africa AI in Mental Health market type, application, country and player market segmentation data, and include SWOT Analysis.
Chapter 12: Analyzes the AI in Mental Health business cost, including industrial chain and the proportion of business cost structure.
Chapter 13: The main points and conclusions of the report.
Chapter 14: Concludes with an explanation of the data sources and research methods.
Highlights-Regions
North America
United States
Canada
Mexico
Europe
Germany
France
UK
Italy
Russia
Nordic
Asia Pacific
China
Japan
South Korea
India
Southeast Asia
Australia
South America
Brazil
Argentina
MEA
Saudi Arabia
Egypt
Turkey
UAE
South Africa
Player list
OM1
Cognoa
Lyra Health, Inc
Marigold Health
New Life Solution, Inc
Mindstrong
BioBeat
New Life solution
Talkspace
Woebot Health
Wysa Ltd
Types list
Software-as-a-Service
Hardware
Application list
Conversational Interfaces
Patient Behavioral Pattern Recognition
Table of Content
1 Market Overview
1.1 AI in Mental Health Introduction
1.2 Market Analysis by Types
1.3 Market Analysis by Applications
1.4 Global AI in Mental Health Market Size & Forecast
1.4.1 Global AI in Mental Health Revenue (2019 VS 2023 VS 2030)
1.4.2 Global AI in Mental Health Revenue in Value (2019-2030)
1.5 Market Drivers, Restraints and Trends
1.5.1 AI in Mental Health Market Drivers
1.5.2 AI in Mental Health Market Restraints
1.5.3 AI in Mental Health Trends Analysis
1.6 Economic Analysis of Global Regions
1.7 Inflation Analysis
1.8 The Impact of the Russian-Ukrainian War on the Market
1.9 Coronavirus Disease 2020 (COVID-19) Impact on Global
2 Manufacturers Profiles
2.1 OM1
2.1.1 Business Overview
2.1.2 OM1 SWOT Analysis
2.1.3 OM1 AI in Mental Health Products and Service Offered
2.1.4 OM1 AI in Mental Health Revenue and Gross Margin
2.2 Cognoa
2.2.1 Business Overview
2.2.2 Cognoa SWOT Analysis
2.2.3 Cognoa AI in Mental Health Products and Service Offered
2.2.4 Cognoa AI in Mental Health Revenue and Gross Margin
2.3 Lyra Health, Inc
2.3.1 Business Overview
2.3.2 Lyra Health, Inc SWOT Analysis
2.3.3 Lyra Health, Inc AI in Mental Health Products and Service Offered
2.3.4 Lyra Health, Inc AI in Mental Health Revenue and Gross Margin
2.4 Marigold Health
2.4.1 Business Overview
2.4.2 Marigold Health SWOT Analysis
2.4.3 Marigold Health AI in Mental Health Products and Service Offered
2.4.4 Marigold Health AI in Mental Health Revenue and Gross Margin
2.5 New Life Solution, Inc
2.5.1 Business Overview
2.5.2 New Life Solution, Inc SWOT Analysis
2.5.3 New Life Solution, Inc AI in Mental Health Products and Service Offered
2.5.4 New Life Solution, Inc AI in Mental Health Revenue and Gross Margin
2.6 Mindstrong
2.6.1 Business Overview
2.6.2 Mindstrong SWOT Analysis
2.6.3 Mindstrong AI in Mental Health Products and Service Offered
2.6.4 Mindstrong AI in Mental Health Revenue and Gross Margin
2.7 BioBeat
2.7.1 Business Overview
2.7.2 BioBeat SWOT Analysis
2.7.3 BioBeat AI in Mental Health Products and Service Offered
2.7.4 BioBeat AI in Mental Health Revenue and Gross Margin
2.8 New Life solution
2.8.1 Business Overview
2.8.2 New Life solution SWOT Analysis
2.8.3 New Life solution AI in Mental Health Products and Service Offered
2.8.4 New Life solution AI in Mental Health Revenue and Gross Margin
2.9 Talkspace
2.9.1 Business Overview
2.9.2 Talkspace SWOT Analysis
2.9.3 Talkspace AI in Mental Health Products and Service Offered
2.9.4 Talkspace AI in Mental Health Revenue and Gross Margin
2.10 Woebot Health
2.10.1 Business Overview
2.10.2 Woebot Health SWOT Analysis
2.10.3 Woebot Health AI in Mental Health Products and Service Offered
2.10.4 Woebot Health AI in Mental Health Revenue and Gross Margin
2.11 Wysa Ltd
2.11.1 Business Overview
2.11.2 Wysa Ltd SWOT Analysis
2.11.3 Wysa Ltd AI in Mental Health Products and Service Offered
2.11.4 Wysa Ltd AI in Mental Health Revenue and Gross Margin
3 Global AI in Mental Health Market Competition, by Manufacturer
3.1 Global AI in Mental Health Revenue and Market Share by Manufacturer
3.2 Market Concentration Rate
3.2.1 Top 3 AI in Mental Health Players Market Share in 2023
3.2.2 Top 6 AI in Mental Health Players Market Share in 2023
3.2.3 Market Competition Trend
3.3 AI in Mental Health Players Head Office, Business Provided
3.4 AI in Mental Health Mergers & Acquisitions
3.5 AI in Mental Health New Entrants and Expansion Plans
4 Market Segment by Type
4.1 Global AI in Mental Health Revenue in Value by Type (2019-2030)
4.2 Global AI in Mental Health Revenue Share by Type (2019-2030)
5 Market Segment by Application
5.1 Global AI in Mental Health Revenue by Application (2019-2030)
5.2 Global AI in Mental Health Revenue Share by Application (2019-2030)
6 Global AI in Mental Health Market Analysis by Regions
6.1 Global AI in Mental Health Revenue and Market Share by Regions
6.1.1 Global AI in Mental Health Revenue by Regions (2019-2030)
6.1.2 Global AI in Mental Health Revenue Market Share by Regions (2019-2030)
6.2 North America AI in Mental Health Revenue and Growth (2019-2030)
6.3 Europe AI in Mental Health Revenue and Growth (2019-2030)
6.4 Asia Pacific AI in Mental Health Revenue and Growth (2019-2030)
6.5 South America AI in Mental Health Revenue and Growth (2019-2030)
6.6 Middle East and Africa AI in Mental Health Revenue and Growth (2019-2030)
7 North America AI in Mental Health by Country, by Type, and by Application
7.1 North America AI in Mental Health Revenue by Type (2019-2030)
7.2 North America AI in Mental Health Revenue by Application (2019-2030)
7.3 North America AI in Mental Health Revenue and Market Share by Countries
7.3.1 North America AI in Mental Health Revenue in Value by Country (2019-2030)
7.3.2 United States AI in Mental Health Revenue and Growth (2019-2030)
7.3.3 Canada AI in Mental Health Revenue and Growth (2019-2030)
7.3.4 Mexico AI in Mental Health Revenue and Growth (2019-2030)
7.4 North America SWOT Analysis
8 Europe AI in Mental Health by Country, by Type, and by Application
8.1 Europe AI in Mental Health Revenue by Type (2019-2030)
8.2 Europe AI in Mental Health Revenue by Application (2019-2030)
8.3 Europe AI in Mental Health Revenue and Market Share by Countries
8.3.1 Europe AI in Mental Health Revenue in Value by Country (2019-2030)
8.3.2 Germany AI in Mental Health Revenue and Growth (2019-2030)
8.3.3 France AI in Mental Health Revenue and Growth (2019-2030)
8.3.4 United Kingdom AI in Mental Health Revenue and Growth (2019-2030)
8.3.5 Russia AI in Mental Health Revenue and Growth (2019-2030)
8.3.6 Italy AI in Mental Health Revenue and Growth (2019-2030)
8.3.7 Nordic AI in Mental Health Revenue and Growth (2019-2030)
8.4 Europe SWOT Analysis
9 Asia Pacific AI in Mental Health by Country, by Type, and by Application
9.1 Asia Pacific AI in Mental Health Revenue by Type (2019-2030)
9.2 Asia Pacific AI in Mental Health Revenue by Application (2019-2030)
9.3 Asia Pacific AI in Mental Health Revenue and Market Share by Countries
9.3.1 Asia Pacific AI in Mental Health Revenue in Value by Country (2019-2030)
9.3.2 China AI in Mental Health Revenue and Growth (2019-2030)
9.3.3 Japan AI in Mental Health Revenue and Growth (2019-2030)
9.3.4 Korea AI in Mental Health Revenue and Growth (2019-2030)
9.3.5 India AI in Mental Health Revenue and Growth (2019-2030)
9.3.6 Southeast Asia AI in Mental Health Revenue and Growth (2019-2030)
9.3.7 Australia AI in Mental Health Revenue and Growth (2019-2030)
9.4 Asia Pacific SWOT Analysis
10 South America AI in Mental Health by Country, by Type, and by Application
10.1 South America AI in Mental Health Revenue by Type (2019-2030)
10.2 South America AI in Mental Health Revenue by Application (2019-2030)
10.3 South America AI in Mental Health Revenue and Market Share by Countries
10.3.1 South America AI in Mental Health Revenue in Value by Country (2019-2030)
10.3.2 Brazil AI in Mental Health Revenue and Growth (2019-2030)
10.3.3 Argentina AI in Mental Health Revenue and Growth (2019-2030)
10.4 South America SWOT Analysis
11 Middle East & Africa AI in Mental Health by Country, by Type, and by Application
11.1 Middle East & Africa AI in Mental Health Revenue by Type (2019-2030)
11.2 Middle East & Africa AI in Mental Health Revenue by Application (2019-2030)
11.3 Middle East & Africa AI in Mental Health Revenue and Market Share by Countries
11.3.1 Middle East & Africa AI in Mental Health Revenue in Value by Country (2019-2030)
11.3.2 Turkey AI in Mental Health Revenue and Growth (2019-2030)
11.3.3 Egypt AI in Mental Health Revenue and Growth (2019-2030)
11.3.4 Saudi Arabia AI in Mental Health Revenue and Growth (2019-2030)
11.3.5 UAE AI in Mental Health Revenue and Growth (2019-2030)
11.3.6 South Africa AI in Mental Health Revenue and Growth (2019-2030)
11.4 Middle East and Africa SWOT Analysis
12 AI in Mental Health Business Cost Analysis
12.1 Proportion of Business Cost Structure
12.1.1 Labor Cost
12.1.2 Operating Expenses
12.2 AI in Mental Health Industrial Chain Analysis
13 Research Findings and Conclusion
14 Methodology and Data Source
14.1 A Methodology
14.1.1 Research Process
14.1.2 Market Size Estimation
14.1.3 Market Breakdown and Data Triangulation
14.2 B Data Source
14.2.1 Legal Disclaimer