AI in Mental Health Global Market Report 2024

Description

Artificial Intelligence (AI) in mental health involves leveraging advanced technology, particularly AI algorithms and computational models, to improve the understanding, diagnosis, treatment, and support for mental health conditions. It aims to provide comprehensive support for individuals facing mental health challenges by enabling better tracking of progress and identification of potential issues.

The main types of AI in mental health include Software-as-a-Service (SaaS) and hardware solutions. Software-as-a-Service (SaaS) is a software licensing and delivery model where software is licensed on a subscription basis and hosted centrally by a third-party provider, allowing users to access it via the internet. These solutions utilize technologies such as natural language processing (NLP), context-aware computing, computer vision, and machine learning. They are applied in various applications including conversational interfaces and patient behavioral pattern recognition. These solutions find application across various end-users such as hospitals and clinics, mental health centers, and research institutions.

The AI in mental health market research report is one of a series of new reports from The Business Research Company that provides AI in mental health market statistics, including AI in mental health industry global market size, regional shares, competitors with a AI in mental health market share, detailed AI in mental health market segments, market trends and opportunities, and any further data you may need to thrive in the AI in mental health industry. This AI in mental health market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

The AI In mental health market size has grown exponentially in recent years. It will grow from $1.10 billion in 2023 to $1.49 billion in 2024 at a compound annual growth rate (CAGR) of 35.4%. The growth observed during the historical period can be attributed to several factors, including the rapid adoption of machine learning and AI technologies in the healthcare industry, a growing awareness of mental health and well-being, an increasing prevalence of mental health disorders, rising healthcare costs, and a growing demand for personalized treatment and care.

The AI In mental health market size is expected to see exponential growth in the next few years. It will grow to $4.94 billion in 2028 at a compound annual growth rate (CAGR) of 34.9%. The projected growth in the forecast period can be attributed to several key factors, including the increasing adoption of advanced technologies in mental health care, rising concerns and awareness regarding mental health issues, a shortage of mental health professionals driving the need for AI-powered solutions, regulatory support for AI in mental health care, and the increasing use of wearables and social media data for mental health analysis. Major trends expected during this period include personalized treatment approaches, integration with wearables for continuous monitoring, the expansion of AI applications in mental health care, the growing demand for telemedicine and virtual care solutions, and the increasing use of conversational interfaces to enhance patient engagement and support.

The escalating number of suicidal cases is poised to propel the growth of AI in the mental health market in the coming years. Suicidal cases encompass instances where individuals experience thoughts, feelings, or behaviors indicative of intentionally causing harm to themselves with the aim of terminating their lives. Mental health disorders, including depression, bipolar disorder, schizophrenia, and substance abuse, significantly contribute to the emergence of suicidal thoughts and behaviors. AI technology in mental health plays a pivotal role in identifying early signs of suicidal risk by analyzing patterns in user data, thereby facilitating timely intervention and support. For instance, data from the Centers for Disease Control and Prevention reveals a concerning increase in suicide deaths in the United States, reaching 49,449 in 2022, representing a 2.6% rise from the previous year. Notably, males accounted for a higher number of suicides compared to females, with 39,255 male deaths and 10,194 female deaths in 2022. Consequently, the growing prevalence of suicidal cases emerges as a primary driver propelling the adoption of AI in the mental health market.

Leading entities in the AI in mental health market are actively engaged in developing innovative technologies to expand their market offerings and address critical mental health challenges. One such advancement is the Discovery365, an AI-powered behavioral health system designed to monitor patient progress for one year following discharge from behavioral treatment programs, a period characterized by elevated relapse rates. For instance, in September 2023, Discovery Behavioral Health Inc., in collaboration with Videra Health and Brigham and Women's Hospital, launched Discovery365. This pioneering platform utilizes advanced AI technology to analyze patient data post-discharge, focusing on video-captured analytics to assess patient progress and detect potential signs of struggle or relapse. By extending care beyond treatment programs, Discovery365 aims to mitigate relapse rates and provide vital support to patients during the critical year following treatment completion, thereby bridging the recovery gap in behavioral health care.

In January 2022, Headspace, a leading telehealth company headquartered in the United States, completed the acquisition of Sayana for an undisclosed sum. This strategic move expanded the capabilities of Headspace Health in providing AI-driven mental health and wellness solutions. By integrating Sayana's expertise and technologies, Headspace aims to enhance accessibility and efficiency within its mental health ecosystem, ultimately benefiting its user base. Sayana, also based in the US, specializes in AI-driven mental health and wellness solutions, making it a fitting addition to Headspace's portfolio.

Major companies operating in the ai in mental health market are BetterHelp, Lyra Health, American Well Corporation, Doctor on Demand, Cerebral, MDLive, Talkspace Inc., Ginger, Quartet Health, Meditopia, Mantra Health, Happify Health, Woebot Health, Kintsugi, Marigold Health, SilverCloud Health, Cognoa, BioBeats, MeQuilibrium, Mightier, Nue Life, Mindstrong Health, Oliva Health, Wysa Ltd, New life solution Inc.

North America was the largest region in the AI in mental health market in 2023. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the ai in mental health market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

The countries covered in the ai in mental health market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The AI in mental health market consist of revenues earned by entities by providing services such as assessment and screening, therapy and support, monitoring and tracking, research, and analysis. The market value includes the value of related goods sold by the service provider or included within the service offering. The AI in mental health market also includes sales of wearable devices, predictive analytics, and mental health chatbots. Values in this market are 'factory gate' values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

AI in Mental Health Global Market Report 2024 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses on AI in mental health market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

Reasons to Purchase

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Understand how the market has been affected by the COVID-19 and how it is responding as the impact of the virus abates.
Assess the Russia - Ukraine war's impact on agriculture, energy and mineral commodity supply and its direct and indirect impact on the market.
Measure the impact of high global inflation on market growth.
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Where is the largest and fastest growing market for AI in mental health ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward? The AI in mental health market global report from the Business Research Company answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

The market characteristics section of the report defines and explains the market.
The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
The forecasts are made after considering the major factors currently impacting the market. These include:

The impact of sanctions, supply chain disruptions, and altered demand for goods and services due to the Russian Ukraine war, impacting various macro-economic factors and parameters in the Eastern European region and its subsequent effect on global markets.

The impact of higher inflation in many countries and the resulting spike in interest rates.

The continued but declining impact of COVID-19 on supply chains and consumption patterns.

Market segmentations break down the market into sub markets.
The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth. It covers the growth trajectory of COVID-19 for all regions, key developed countries and major emerging markets.
The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
The trends and strategies section analyses the shape of the market as it emerges from the crisis and suggests how companies can grow as the market recovers.

Scope

Markets Covered:

1) By Component: Software-as-a-Service (SaaS); Hardware
2) By Technology: Natural Language Processing (NLP); Context-Aware Computing; Computer Vision; Machine learning
3) By Application: Conversational Interfaces; Patient Behavioral Pattern Recognition
4) By End-user: Hospitals And Clinics; Mental Health Centers; Research Institutions
Companies Mentioned: BetterHelp; Lyra Health; American Well Corporation; Doctor on Demand; Cerebral
Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Russia; South Korea; UK; USA; Canada; Italy; Spain
Regions: Asia-Pacific; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
Time series: Five years historic and ten years forecast.
Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita,
Data segmentations: country and regional historic and forecast data, market share of competitors, market segments.
Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
Delivery format: PDF, Word and Excel Data Dashboard.

Product Code: r16966

1. Executive Summary

2. AI in Mental Health Market Characteristics

3. AI in Mental Health Market Trends And Strategies

4. AI in Mental Health Market - Macro Economic Scenario

4.1. Impact Of High Inflation On The Market
4.2. Ukraine-Russia War Impact On The Market
4.3. COVID-19 Impact On The Market

5. Global AI in Mental Health Market Size and Growth

5.1. Global AI in Mental Health Market Drivers and Restraints
- 5.1.1. Drivers Of The Market
- 5.1.2. Restraints Of The Market
5.2. Global AI in Mental Health Historic Market Size and Growth, 2018 - 2023, Value ($ Billion)
5.3. Global AI in Mental Health Forecast Market Size and Growth, 2023 - 2028, 2033F, Value ($ Billion)

6. AI in Mental Health Market Segmentation

6.1. Global AI in Mental Health Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
Software-as-a-Service (SaaS)
Hardware
6.2. Global AI in Mental Health Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
Natural Language Processing (NLP)
Context-Aware Computing
Computer Vision
Machine learning
6.3. Global AI in Mental Health Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
Conversational Interfaces
Patient Behavioral Pattern Recognition
6.4. Global AI in Mental Health Market, Segmentation By End-user, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
Hospitals And Clinics
Mental Health Centers
Research Institutions

7. AI in Mental Health Market Regional And Country Analysis

7.1. Global AI in Mental Health Market, Split By Region, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
7.2. Global AI in Mental Health Market, Split By Country, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

8. Asia-Pacific AI in Mental Health Market

8.1. Asia-Pacific AI in Mental Health Market Overview
Region Information, Impact Of COVID-19, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
8.2. Asia-Pacific AI in Mental Health Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
8.3. Asia-Pacific AI in Mental Health Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
8.4. Asia-Pacific AI in Mental Health Market, Segmentation By End-user, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

9. China AI in Mental Health Market

9.1. China AI in Mental Health Market Overview
9.2. China AI in Mental Health Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F,$ Billion
9.3. China AI in Mental Health Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F,$ Billion
9.4. China AI in Mental Health Market, Segmentation By End-user, Historic and Forecast, 2018-2023, 2023-2028F, 2033F,$ Billion

10. India AI in Mental Health Market

10.1. India AI in Mental Health Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
10.2. India AI in Mental Health Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
10.3. India AI in Mental Health Market, Segmentation By End-user, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

11. Japan AI in Mental Health Market

11.1. Japan AI in Mental Health Market Overview
11.2. Japan AI in Mental Health Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
11.3. Japan AI in Mental Health Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
11.4. Japan AI in Mental Health Market, Segmentation By End-user, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

12. Australia AI in Mental Health Market

12.1. Australia AI in Mental Health Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
12.2. Australia AI in Mental Health Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
12.3. Australia AI in Mental Health Market, Segmentation By End-user, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

13. Indonesia AI in Mental Health Market

13.1. Indonesia AI in Mental Health Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
13.2. Indonesia AI in Mental Health Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
13.3. Indonesia AI in Mental Health Market, Segmentation By End-user, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

14. South Korea AI in Mental Health Market

14.1. South Korea AI in Mental Health Market Overview
14.2. South Korea AI in Mental Health Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
14.3. South Korea AI in Mental Health Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
14.4. South Korea AI in Mental Health Market, Segmentation By End-user, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

15. Western Europe AI in Mental Health Market

15.1. Western Europe AI in Mental Health Market Overview
15.2. Western Europe AI in Mental Health Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
15.3. Western Europe AI in Mental Health Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
15.4. Western Europe AI in Mental Health Market, Segmentation By End-user, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

16. UK AI in Mental Health Market

16.1. UK AI in Mental Health Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
16.2. UK AI in Mental Health Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
16.3. UK AI in Mental Health Market, Segmentation By End-user, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

17. Germany AI in Mental Health Market

17.1. Germany AI in Mental Health Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
17.2. Germany AI in Mental Health Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
17.3. Germany AI in Mental Health Market, Segmentation By End-user, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

18. France AI in Mental Health Market

18.1. France AI in Mental Health Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
18.2. France AI in Mental Health Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
18.3. France AI in Mental Health Market, Segmentation By End-user, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

19. Italy AI in Mental Health Market

19.1. Italy AI in Mental Health Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
19.2. Italy AI in Mental Health Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
19.3. Italy AI in Mental Health Market, Segmentation By End-user, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

20. Spain AI in Mental Health Market

20.1. Spain AI in Mental Health Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
20.2. Spain AI in Mental Health Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
20.3. Spain AI in Mental Health Market, Segmentation By End-user, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

21. Eastern Europe AI in Mental Health Market

21.1. Eastern Europe AI in Mental Health Market Overview
21.2. Eastern Europe AI in Mental Health Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
21.3. Eastern Europe AI in Mental Health Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
21.4. Eastern Europe AI in Mental Health Market, Segmentation By End-user, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

22. Russia AI in Mental Health Market

22.1. Russia AI in Mental Health Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
22.2. Russia AI in Mental Health Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
22.3. Russia AI in Mental Health Market, Segmentation By End-user, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

23. North America AI in Mental Health Market

23.1. North America AI in Mental Health Market Overview
23.2. North America AI in Mental Health Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
23.3. North America AI in Mental Health Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
23.4. North America AI in Mental Health Market, Segmentation By End-user, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

24. USA AI in Mental Health Market

24.1. USA AI in Mental Health Market Overview
24.2. USA AI in Mental Health Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
24.3. USA AI in Mental Health Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
24.4. USA AI in Mental Health Market, Segmentation By End-user, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

25. Canada AI in Mental Health Market

25.1. Canada AI in Mental Health Market Overview
25.2. Canada AI in Mental Health Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
25.3. Canada AI in Mental Health Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
25.4. Canada AI in Mental Health Market, Segmentation By End-user, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

26. South America AI in Mental Health Market

26.1. South America AI in Mental Health Market Overview
26.2. South America AI in Mental Health Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
26.3. South America AI in Mental Health Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
26.4. South America AI in Mental Health Market, Segmentation By End-user, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

27. Brazil AI in Mental Health Market

27.1. Brazil AI in Mental Health Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
27.2. Brazil AI in Mental Health Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
27.3. Brazil AI in Mental Health Market, Segmentation By End-user, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

28. Middle East AI in Mental Health Market

28.1. Middle East AI in Mental Health Market Overview
28.2. Middle East AI in Mental Health Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
28.3. Middle East AI in Mental Health Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
28.4. Middle East AI in Mental Health Market, Segmentation By End-user, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

29. Africa AI in Mental Health Market

29.1. Africa AI in Mental Health Market Overview
29.2. Africa AI in Mental Health Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
29.3. Africa AI in Mental Health Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
29.4. Africa AI in Mental Health Market, Segmentation By End-user, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

30. AI in Mental Health Market Competitive Landscape And Company Profiles

30.1. AI in Mental Health Market Competitive Landscape
30.2. AI in Mental Health Market Company Profiles
- 30.2.1. BetterHelp
  - 30.2.1.1. Overview
  - 30.2.1.2. Products and Services
  - 30.2.1.3. Strategy
  - 30.2.1.4. Financial Performance
- 30.2.2. Lyra Health
  - 30.2.2.1. Overview
  - 30.2.2.2. Products and Services
  - 30.2.2.3. Strategy
  - 30.2.2.4. Financial Performance
- 30.2.3. American Well Corporation
  - 30.2.3.1. Overview
  - 30.2.3.2. Products and Services
  - 30.2.3.3. Strategy
  - 30.2.3.4. Financial Performance
- 30.2.4. Doctor on Demand
  - 30.2.4.1. Overview
  - 30.2.4.2. Products and Services
  - 30.2.4.3. Strategy
  - 30.2.4.4. Financial Performance
- 30.2.5. Cerebral
  - 30.2.5.1. Overview
  - 30.2.5.2. Products and Services
  - 30.2.5.3. Strategy
  - 30.2.5.4. Financial Performance

31. AI in Mental Health Market Other Major And Innovative Companies

31.1. MDLive
31.2. Talkspace Inc.
31.3. Ginger
31.4. Quartet Health
31.5. Meditopia
31.6. Mantra Health
31.7. Happify Health
31.8. Woebot Health
31.9. Kintsugi
31.10. Marigold Health
31.11. SilverCloud Health
31.12. Cognoa
31.13. BioBeats
31.14. MeQuilibrium
31.15. Mightier

32. Global AI in Mental Health Market Competitive Benchmarking

33. Global AI in Mental Health Market Competitive Dashboard

34. Key Mergers And Acquisitions In The AI in Mental Health Market

35. AI in Mental Health Market Future Outlook and Potential Analysis

35.1 AI in Mental Health Market In 2028 - Countries Offering Most New Opportunities
35.2 AI in Mental Health Market In 2028 - Segments Offering Most New Opportunities
35.3 AI in Mental Health Market In 2028 - Growth Strategies
- 35.3.1 Market Trend Based Strategies
- 35.3.2 Competitor Strategies

36. Appendix

36.1. Abbreviations
36.2. Currencies
36.3. Historic And Forecast Inflation Rates
36.4. Research Inquiries
36.5. The Business Research Company
36.6. Copyright And Disclaimer