Global AI Mental Health Detection Market Research Report 2024

Publication ID:

PB506247799

Publication Date:

June 21, 2024

Pages:

Publisher:

MRRPB5

Countries:

Global [1]

USD 2,900.00

IT Services [2]

Computing & Electronics [3]

Description:

AI mental health detection involves the application of artificial intelligence technology to assess, screen, and monitor an individual's mental health and emotional well-being. It utilizes various techniques such as natural language processing, sentiment analysis, facial recognition, and voice analysis to identify patterns and indicators of mental health conditions like depression, anxiety, or stress. AI Mental Health Detection aims to provide early intervention, support, and personalized mental health recommendations to individuals in need.
The global AI Mental Health Detection market was valued at US$ million in 2023 and is anticipated to reach US$ million by 2030, witnessing a CAGR of % during the forecast period 2024-2030.
North American market for AI Mental Health Detection is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
Asia-Pacific market for AI Mental Health Detection is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The global market for AI Mental Health Detection in Hospital is estimated to increase from $ million in 2023 to $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The major global companies of AI Mental Health Detection include Aiberry, Ellipsis Health, Omdena, Innowise Group, Syndell, Klizo Solutions and Wysa, etc. In 2023, the world's top three vendors accounted for approximately % of the revenue.
This report aims to provide a comprehensive presentation of the global market for AI Mental Health Detection, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding AI Mental Health Detection.
Report Scope
The AI Mental Health Detection market size, estimations, and forecasts are provided in terms of revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global AI Mental Health Detection market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the AI Mental Health Detection companies, new entrants, and industry chain related companies in this market with information on the revenues, sales volume, and average price for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
Market Segmentation
By Company
Aiberry
Ellipsis Health
Omdena
Innowise Group
Syndell
Klizo Solutions
Wysa
Segment by Type
Mental Health Testing
Mental Health Healing
Segment by Application
Hospital
Enterprise
Individual
Others
By Region
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by Application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of AI Mental Health Detection companies鈥� competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 11: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.

Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.

Table Of Contents:

1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global AI Mental Health Detection Market Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 Mental Health Testing
1.2.3 Mental Health Healing
1.3 Market by Application
1.3.1 Global AI Mental Health Detection Market Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Hospital
1.3.3 Enterprise
1.3.4 Individual
1.3.5 Others
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global AI Mental Health Detection Market Perspective (2019-2030)
2.2 AI Mental Health Detection Growth Trends by Region
2.2.1 Global AI Mental Health Detection Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 AI Mental Health Detection Historic Market Size by Region (2019-2024)
2.2.3 AI Mental Health Detection Forecasted Market Size by Region (2025-2030)
2.3 AI Mental Health Detection Market Dynamics
2.3.1 AI Mental Health Detection Industry Trends
2.3.2 AI Mental Health Detection Market Drivers
2.3.3 AI Mental Health Detection Market Challenges
2.3.4 AI Mental Health Detection Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top AI Mental Health Detection Players by Revenue
3.1.1 Global Top AI Mental Health Detection Players by Revenue (2019-2024)
3.1.2 Global AI Mental Health Detection Revenue Market Share by Players (2019-2024)
3.2 Global AI Mental Health Detection Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by AI Mental Health Detection Revenue
3.4 Global AI Mental Health Detection Market Concentration Ratio
3.4.1 Global AI Mental Health Detection Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by AI Mental Health Detection Revenue in 2023
3.5 AI Mental Health Detection Key Players Head office and Area Served
3.6 Key Players AI Mental Health Detection Product Solution and Service
3.7 Date of Enter into AI Mental Health Detection Market
3.8 Mergers & Acquisitions, Expansion Plans
4 AI Mental Health Detection Breakdown Data by Type
4.1 Global AI Mental Health Detection Historic Market Size by Type (2019-2024)
4.2 Global AI Mental Health Detection Forecasted Market Size by Type (2025-2030)
5 AI Mental Health Detection Breakdown Data by Application
5.1 Global AI Mental Health Detection Historic Market Size by Application (2019-2024)
5.2 Global AI Mental Health Detection Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America AI Mental Health Detection Market Size (2019-2030)
6.2 North America AI Mental Health Detection Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America AI Mental Health Detection Market Size by Country (2019-2024)
6.4 North America AI Mental Health Detection Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe AI Mental Health Detection Market Size (2019-2030)
7.2 Europe AI Mental Health Detection Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe AI Mental Health Detection Market Size by Country (2019-2024)
7.4 Europe AI Mental Health Detection Market Size by Country (2025-2030)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific AI Mental Health Detection Market Size (2019-2030)
8.2 Asia-Pacific AI Mental Health Detection Market Growth Rate by Region: 2019 VS 2023 VS 2030
8.3 Asia-Pacific AI Mental Health Detection Market Size by Region (2019-2024)
8.4 Asia-Pacific AI Mental Health Detection Market Size by Region (2025-2030)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America AI Mental Health Detection Market Size (2019-2030)
9.2 Latin America AI Mental Health Detection Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America AI Mental Health Detection Market Size by Country (2019-2024)
9.4 Latin America AI Mental Health Detection Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa AI Mental Health Detection Market Size (2019-2030)
10.2 Middle East & Africa AI Mental Health Detection Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa AI Mental Health Detection Market Size by Country (2019-2024)
10.4 Middle East & Africa AI Mental Health Detection Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Aiberry
11.1.1 Aiberry Company Detail
11.1.2 Aiberry Business Overview
11.1.3 Aiberry AI Mental Health Detection Introduction
11.1.4 Aiberry Revenue in AI Mental Health Detection Business (2019-2024)
11.1.5 Aiberry Recent Development
11.2 Ellipsis Health
11.2.1 Ellipsis Health Company Detail
11.2.2 Ellipsis Health Business Overview
11.2.3 Ellipsis Health AI Mental Health Detection Introduction
11.2.4 Ellipsis Health Revenue in AI Mental Health Detection Business (2019-2024)
11.2.5 Ellipsis Health Recent Development
11.3 Omdena
11.3.1 Omdena Company Detail
11.3.2 Omdena Business Overview
11.3.3 Omdena AI Mental Health Detection Introduction
11.3.4 Omdena Revenue in AI Mental Health Detection Business (2019-2024)
11.3.5 Omdena Recent Development
11.4 Innowise Group
11.4.1 Innowise Group Company Detail
11.4.2 Innowise Group Business Overview
11.4.3 Innowise Group AI Mental Health Detection Introduction
11.4.4 Innowise Group Revenue in AI Mental Health Detection Business (2019-2024)
11.4.5 Innowise Group Recent Development
11.5 Syndell
11.5.1 Syndell Company Detail
11.5.2 Syndell Business Overview
11.5.3 Syndell AI Mental Health Detection Introduction
11.5.4 Syndell Revenue in AI Mental Health Detection Business (2019-2024)
11.5.5 Syndell Recent Development
11.6 Klizo Solutions
11.6.1 Klizo Solutions Company Detail
11.6.2 Klizo Solutions Business Overview
11.6.3 Klizo Solutions AI Mental Health Detection Introduction
11.6.4 Klizo Solutions Revenue in AI Mental Health Detection Business (2019-2024)
11.6.5 Klizo Solutions Recent Development
11.7 Wysa
11.7.1 Wysa Company Detail
11.7.2 Wysa Business Overview
11.7.3 Wysa AI Mental Health Detection Introduction
11.7.4 Wysa Revenue in AI Mental Health Detection Business (2019-2024)
11.7.5 Wysa Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.2 Data Source
13.2 Disclaimer
13.3 Author Details

Companies Mentioned:

Aiberry
Ellipsis Health
Omdena
Innowise Group
Syndell
Klizo Solutions
Wysa

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