AI in Mental Health Market

Global AI in Mental Health Market Size, Trends & Analysis - Forecasts to 2027 By Technology (Machine Learning and Deep Learning, Natural Language Processing (NLP), and Others), By Application (Conversational Interfaces and Patient Behavioral Pattern Recognition), By Component (Software-as-a-Service (SaaS) and Hardware), By Region (North America, Asia Pacific, Central & South America, Europe, and the Middle East & Africa), End-user Landscape Analysis, Company Market Share Analysis, and Competitor Analysis

Category Trending Technology

Format

This report was recently updated on November 14 2024 with the latest and most recent market numbers

Global AI in Mental Health Market Size

The global AI in Mental Health Market is projected to grow at a CAGR value of 39.1% from 2022 to 2027. Across the healthcare business, there is a slew of AI efforts in the works, some of which are aimed at improving mental health and well-being. These AI initiatives that focus on improving mental health and well-being across the globe are expected to serve as the key driving force of the market.

In the fiscal year 2015, the National Institutes of Health (NIH) was granted a fund of USD 30 billion. Mental health and addiction-related initiatives received less than ten percent of the funds. This is in contrast to evidence that suggests that better mental health might lead to a longer life and increased productivity.

The World Health Organization (WHO) estimated in 2001 that mental health issues account for over 10% of mortality and 30% of all years lived with a disability. In addition, depression is predicted to cost the U.S. firms USD 17 to USD 44 billion in lost workdays each year. It is crucial to emphasize that the economic impact of mental health issues is difficult to accurately measure or quantify.

As a result, several AI companies have shifted their business focus towards addressing the unmet needs in the mental health space. The majority of well-known AI providers in the mental health area presently offer solutions in one of two categories, i.e., conversational interfaces and patient behavioural pattern recognition.

Despite the numerous data sources accessible in this field, there are a few major drawbacks in developing a successful pattern recognition application for mental health. For example, the application's ability to analyze text chats a patient has in private raises various privacy problems. These concerns demand more developments in the space, thereby creating opportunities for breakthroughs and innovation in this market.

global ai in mental health market

COVID-19 Impact on Global AI in Mental Health Market

Because of the compulsory WFH (work-from-home) policy as a result of the COVID - 19 epidemic, the market for next-generation tech areas, such as artificial intelligence has witnessed growth in terms of revenue and development. In addition, tech companies are broadening their product and service offerings to make them more widely available around the world.

For example, in April 2020, Google LLC introduced an AI-enabled chatbot for call centres- Rapid Response Virtual Agent. This chatbot was designed to help clients with challenges related to the coronavirus outbreak via chat, voice, and other social media platforms.

Overall; hiring, investment, and acceptance of AI grew in 2020, reflecting long-term business trends that outlive the pandemic's effects. During the epidemic, investment in AI-focused private enterprises remained substantial, particularly in fields tied to COVID. From 2019 to 2020, total global AI investment increased by 40%, compared to only a 12% increase from 2018 to 2019.

Ukraine-Russia War Impact on Healthcare Industry

The infrastructural failure of research institutes, clinics, and hospitals has adversely impacted healthcare systems and research programs, causing healthcare professionals to escape and leave research centers and hospitals. Furthermore, due to the costs of maintaining huge stockpiles and storage space constraints, these centers have limited quantities of resources.

This has had an impact on not only hospital-based patient care but also technology development initiatives. The conflict is predicted to result in inequities in the supply of services in both countries. While R&D facilities in Ukraine are being abandoned or even shelled, inflation and sanctions have impacted the Russian healthcare system over the border. As a result, the protracted conflict is projected to hamper the market growth for a certain period.

Global AI in Mental Health Market: By Technology

Machine learning (ML) and deep learning are estimated to capture the maximum share in 2021 because ML, a type of AI that is widely employed, is one of the most fast-growing fields in technology. Two ways in which machine learning is assisting in the transformation of mental health include the prediction of crises and the development of treatment plans/ identification of biomarkers.

Machine learning algorithms can assist mental health providers in monitoring whether a patient is at risk of acquiring any mental health illness by examining crucial behavioral biomarkers. Moreover, the algorithms may aid in the monitoring of a treatment plan's effectiveness.

In January 2022, MIT scientist Rosalind Picard announced a collaboration with clinicians for the development of tools to advance mental health care delivery. The objective of the project is to develop machine-learning algorithms to facilitate diagnosis and examine symptom changes in patients with major depressive disorder. These developments are anticipated to drive the segment revenue at the lucrative growth.

Global AI in Mental Health Market: By Application

Conversational interfaces are estimated to account for a major share of the 2021 market. Some companies offering solutions in this segment are Wysa Ltd, Ginger, and Woebot Health. Some AI suppliers try to help people feel better by providing automated text dialogues. While the technology is not intended to replace a genuine therapist or psychiatrist, it may be used to urge people to schedule appointments with professionals and to follow up on those appointments. This segment is witnessing increasing demand owing to the increase in mental health awareness and the growing popularity of mental health chatbots among the population.

Behavioral pattern recognition is growing at a lucrative CAGR as it is one of the larger AI trends that is expected to be increasingly important in the coming years. The ability to discern behavioral patterns in patients, consumers, or users of any kind is employed to solve a variety of business problems across various settings. This underlines the necessity of data traceability and accessibility, making future AI endeavours more accessible. Marigold Health, Ginger, and Mindstrong are some companies operating in this segment.

Global AI in Mental Health Market: By Component

Due to the fast-expanding adoption rate of AI-based software solutions among healthcare providers, payers, and patients, the Software-as-a-Service (SaaS) dominated the market for artificial intelligence in mental health in 2021. Furthermore, this segment's capacity to extract data, provide real-time insight, and improve decision-making helped it gain the highest share of the market.

Over the forecast period, the necessity for businesses to understand and analyze visual content to generate relevant insights is likely to drive the adoption of SaaS. Moreover, SaaS is anticipated to grow at the fastest CAGR. This can be attributed to high computing power, parallel processing capabilities, and notable developments in information storage capacity, to the supply of high-end services.

asia pacific ai in mental health market

Global AI in Mental Health Market: By Region

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. Moreover, rapid IT infrastructure innovation and development, as well as entrepreneurial companies concentrating on AI-based technologies is driving revenue in this region.

Global AI in Mental Health Market Share and Competitor Analysis

Wysa Ltd, Woebot Health, Ginger, Marigold Health, Mindstrong Health, Bark Technologies, BioBeats, Cognoa, Lyra Health, and MeQuilibrium among others are some of the key players operating in this market.

Please note: This is not an exhaustive list of companies profiled in the report.

These key players are making focused attempts to enhance their market presence in this market, thereby intensifying market competition. New product development, merger, and acquisitions, and technological deals are some of the key strategies undertaken by these companies to sustain the rising market competition.

Chapter 1 Research Methodology

1.1 Research Assumptions

1.2 Research Methodology

1.2.1 Estimates and Forecast Timeline

1.3 Information Procurement

1.3.1 Purchased Database

1.3.2 GME’s Internal Database

1.3.3 Primary Research

1.3.4 Secondary Sources & Third-Party Perspectives

1.3.4.1 Company Information Sources

1.3.4.2 Secondary Data Sources

1.4 Information or Data Analysis

1.4.1 Data Analysis Models

1.5 Market Formulation & Data Visualization

1.6 Data Validation & Publishing

1.7 Market Model

1.7.1 Model Details

1.7.1.1 Top-Down Approach

1.7.1.2 Bottom-Up Approach

1.8 Market Segmentation & Scope

1.9 Market Definition

Chapter 2 Executive Summary

2.1. Global Market Outlook

2.2 Technology Outlook

2.3 Application Outlook

2.4 Component Outlook

2.5 Regional Outlook

Chapter 3 Global AI in Mental Health Market Trend Analysis

3.1. Market Introduction

3.2 Penetration & Growth Prospect Mapping

3.3 Impact of COVID-19 on the AI in Mental Health Market

3.4 Metric Data on Life Science Industry

3.5 Market Dynamic Analysis

3.5.1 Market Driver Analysis

3.5.2 Market Restraint Analysis

3.5.3 Industry Challenges

3.5.4 Industry Opportunities

3.6 Porter’s Five Analysis

3.6.1 Supplier Power

3.6.2 Buyer Power

3.6.3 Substitution Threat

3.6.4 Threat from New Entrant

3.7 Market Entry Strategies

Chapter 4 AI in Mental Health Market: Technology Trend Analysis

4.1 Technology: Historic Data vs. Forecast Data Analysis, 2021 vs. 2027

4.2 Machine Learning and Deep Learning

4.2.1 Market Estimates & Forecast Analysis of Machine Learning and Deep Learning Segment, By Region, 2019-2027 (USD Billion)

4.3 Natural Language Processing (NLP)

4.3.1 Market Estimates & Forecast Analysis of Natural Language Processing (NLP) Segment, By Region, 2019-2027 (USD Billion)

4.4 Others

4.4.1 Market Estimates & Forecast Analysis of Others Segment, By Region, 2019-2027 (USD Billion)

Chapter 5 AI in Mental Health Market: Application Trend Analysis

5.1 Application: Historic Data vs. Forecast Data Analysis, 2021 vs. 2027

5.2 Conversational Interfaces

5.2.1 Market Estimates & Forecast Analysis of Conversational Interfaces Segment, By Region, 2019-2027 (USD Billion)

5.3 Patient Behavioral Pattern Recognition

5.3.1 Market Estimates & Forecast Analysis of Patient Behavioral Pattern Recognition Segment, By Region, 2019-2027 (USD Billion)

Chapter 6 AI in Mental Health Market: Component Trend Analysis

6.1 Component: Historic Data vs. Forecast Data Analysis, 2021 vs. 2027

6.2 Software-as-a-Service (SaaS)

6.2.1 Market Estimates & Forecast Analysis of Software-as-a-Service (SaaS) Segment, By Region, 2019-2027 (USD Billion)

6.3 Hardware

6.3.1 Market Estimates & Forecast Analysis of Hardware Segment, By Region, 2019-2027 (USD Billion)

Chapter 7 AI in Mental Health Market, By Region

7.1 Regional Outlook

7.2 North America

7.2.1 Market Estimates & Forecast Analysis, By Component 2019-2027 (USD Billion)

7.2.2 Market Estimates & Forecast Analysis, By Technology, 2019-2027 (USD Billion)

7.2.3 Market Estimates & Forecast Analysis, By Application, 2019-2027 (USD Billion)

7.2.4 Market Estimates & Forecast Analysis, By Country, 2019-2027 (USD Billion)

7.2.5 U.S.

7.2.5.1 Market Estimates & Forecast Analysis, By Technology, 2019-2027 (USD Billion)

7.2.5.2 Market Estimates & Forecast Analysis, By Application, 2019-2027 (USD Billion)

7.2.5.3 Market Estimates & Forecast Analysis, By Component, 2019-2027 (USD Billion)

7.2.6 Canada

7.2.6.1 Market Estimates & Forecast Analysis, By Technology, 2019-2027 (USD Billion)

7.2.6.2 Market Estimates & Forecast Analysis, By Application, 2019-2027 (USD Billion)

7.2.6.3 Market Estimates & Forecast Analysis, By Component, 2019-2027 (USD Billion)

7.2.7 Mexico

7.2.7.1 Market Estimates & Forecast Analysis, By Technology, 2019-2027 (USD Billion)

7.2.7.2 Market Estimates & Forecast Analysis, By Application, 2019-2027 (USD Billion)

7.2.7.3 Market Estimates & Forecast Analysis, By Component, 2019-2027 (USD Billion)

7.3 Europe

7.3.1 Market Estimates & Forecast Analysis, By Component 2019-2027 (USD Billion)

7.3.2 Market Estimates & Forecast Analysis, By Technology, 2019-2027 (USD Billion)

7.3.3 Market Estimates & Forecast Analysis, By Application, 2019-2027 (USD Billion)

7.3.4 Market Estimates & Forecast Analysis, By Country, 2019-2027 (USD Billion)

7.3.5 Germany

7.3.5.1 Market Estimates & Forecast Analysis, By Technology, 2019-2027 (USD Billion)

7.3.5.2 Market Estimates & Forecast Analysis, By Application, 2019-2027 (USD Billion)

7.3.5.3 Market Estimates & Forecast Analysis, By Component, 2019-2027 (USD Billion)

7.3.6 UK

7.3.6.1 Market Estimates & Forecast Analysis, By Technology, 2019-2027 (USD Billion)

7.3.6.2 Market Estimates & Forecast Analysis, By Application, 2019-2027 (USD Billion)

7.3.6.3 Market Estimates & Forecast Analysis, By Component, 2019-2027 (USD Billion)

7.3.7 France

7.3.7.1 Market Estimates & Forecast Analysis, By Technology, 2019-2027 (USD Billion)

7.3.7.2 Market Estimates & Forecast Analysis, By Application, 2019-2027 (USD Billion)

7.3.7.2 Market Estimates & Forecast Analysis, By Component, 2019-2027 (USD Billion)

7.3.8 Italy

7.3.8.1 Market Estimates & Forecast Analysis, By Technology, 2018-2027 (USD Billion)

7.3.8.2 Market Estimates & Forecast Analysis, By Application, 2018-2027 (USD Billion)

7.3.8.2 Market Estimates & Forecast Analysis, By Component, 2019-2027 (USD Billion)

7.3.9 Spain

7.3.9.1 Market Estimates & Forecast Analysis, By Technology, 2019-2027 (USD Billion)

7.3.9.2 Market Estimates & Forecast Analysis, By Application, 2019-2027 (USD Billion)

7.3.8.2 Market Estimates & Forecast Analysis, By Component, 2019-2027 (USD Billion)

7.3.10 Rest of Europe

7.3.10.1 Market Estimates & Forecast Analysis, By Technology, 2019-2027 (USD Billion)

7.3.10.2 Market Estimates & Forecast Analysis, By Application, 2019-2027 (USD Billion)

7.3.8.2 Market Estimates & Forecast Analysis, By Component, 2019-2027 (USD Billion)

7.4 Asia Pacific

7.4.1 Market Estimates & Forecast Analysis, By Component 2019-2027 (USD Billion)

7.4.2 Market Estimates & Forecast Analysis, By Technology, 2019-2027 (USD Billion)

7.4.3 Market Estimates & Forecast Analysis, By Application, 2019-2027 (USD Billion)

7.4.4 Market Estimates & Forecast Analysis, By Country, 2019-2027 (USD Billion)

7.4.5 China

7.4.5.1 Market Estimates & Forecast Analysis, By Technology, 2019-2027 (USD Billion)

7.4.5.2 Market Estimates & Forecast Analysis, By Application, 2019-2027 (USD Billion)

7.4.5.3 Market Estimates & Forecast Analysis, By Component, 2019-2027 (USD Billion)

7.4.6 India

7.4.6.1 Market Estimates & Forecast Analysis, By Technology, 2019-2025 (USD Billion)

7.4.6.2 Market Estimates & Forecast Analysis, By Application, 2019-2025 (USD Billion)

7.4.6.3 Market Estimates & Forecast Analysis, By Component, 2019-2027 (USD Billion)

7.4.7 Japan

7.4.7.1 Market Estimates & Forecast Analysis, By Technology, 2019-2027 (USD Billion)

7.4.7.2 Market Estimates & Forecast Analysis, By Application, 2019-2027 (USD Billion)

7.4.7.3 Market Estimates & Forecast Analysis, By Component, 2019-2027 (USD Billion)

7.4.8 South Korea

7.4.8.1 Market Estimates & Forecast Analysis, By Technology, 2018-2027 (USD Billion)

7.4.8.2 Market Estimates & Forecast Analysis, By Application, 2018-2027 (USD Billion)

7.4.8.3 Market Estimates & Forecast Analysis, By Component, 2019-2027 (USD Billion)

7.4.9 Rest of Asia Pacific

7.4.9.1 Market Estimates & Forecast Analysis, By Technology, 2019-2027 (USD Billion)

7.4.9.2 Market Estimates & Forecast Analysis, By Application, 2019-2027 (USD Billion)

7.4.9.3 Market Estimates & Forecast Analysis, By Component, 2019-2027 (USD Billion)

7.5 Central & South America

7.5.1 Market Estimates & Forecast Analysis, By Component 2019-2027 (USD Billion)

7.5.2 Market Estimates & Forecast Analysis, By Technology, 2019-2027 (USD Billion)

7.5.3 Market Estimates & Forecast Analysis, By Application, 2019-2027 (USD Billion)

7.5.4 Market Estimates & Forecast Analysis, By Country, 2019-2027 (USD Billion)

7.5.5 Brazil

7.5.5.1 Market Estimates & Forecast Analysis, By Technology, 2019-2027 (USD Billion)

7.5.5.2 Market Estimates & Forecast Analysis, By Application, 2019-2027 (USD Billion)

7.5.5.3 Market Estimates & Forecast Analysis, By Component, 2019-2027 (USD Billion)

7.5.6 Rest of Central & South America

7.5.6.1 Market Estimates & Forecast Analysis, By Technology, 2019-2027 (USD Billion)

7.5.6.2 Market Estimates & Forecast Analysis, By Application, 2019-2027 (USD Billion)

7.5.6.3 Market Estimates & Forecast Analysis, By Component, 2019-2027 (USD Billion)

7.6 Middle East & Africa

7.6.1 Market Estimates & Forecast Analysis, By Component 2019-2027 (USD Billion)

7.6.2 Market Estimates & Forecast Analysis, By Technology, 2019-2027 (USD Billion)

7.6.3 Market Estimates & Forecast Analysis, By Application, 2019-2027 (USD Billion)

7.6.4 Market Estimates & Forecast Analysis, By Country, 2019-2027 (USD Billion)

7.6.5 Saudi Arabia

7.6.5.1 Market Estimates & Forecast Analysis, By Technology, 2019-2027 (USD Billion)

7.6.5.2 Market Estimates & Forecast Analysis, By Application, 2019-2027 (USD Billion)

7.6.5.3 Market Estimates & Forecast Analysis, By Component, 2019-2027 (USD Billion)

7.6.6 South Africa

7.6.6.1 Market Estimates & Forecast Analysis, By Technology, 2019-2027 (USD Billion)

7.6.6.2 Market Estimates & Forecast Analysis, By Application, 2019-2027 (USD Billion)

7.6.6.3 Market Estimates & Forecast Analysis, By Component, 2019-2027 (USD Billion)

7.6.7 Rest of Middle East & Africa

7.6.7.1 Market Estimates & Forecast Analysis, By Technology, 2019-2027 (USD Billion)

7.6.7.2 Market Estimates & Forecast Analysis, By Application, 2019-2027 (USD Billion)

7.6.7.3 Market Estimates & Forecast Analysis, By Component, 2019-2027 (USD Billion)

Chapter 8 Competitive Analysis

8.1 Key Global Players, Recent Developments & their Impact on the Industry

8.2 Four Quadrant Competitor Positioning Matrix

8.2.1 Key Innovators

8.2.2 Market Leaders

8.2.3 Emerging Players

8.2.4 Market Challengers

8.3 Vendor Landscape Analysis

8.4 End-use Landscape Analysis

8.5 Company Market Share Analysis, 2021

Chapter 9 Company Profile Analysis

9.1 Wysa Ltd

9.1.1 Company Overview

9.1.2 Financial Analysis

9.1.3 Strategic Initiatives

9.1.4 Service/Software Benchmarking

9.2 Woebot Health

9.2.1 Company Overview

9.2.2 Financial Analysis

9.2.3 Strategic Initiatives

9.2.4 Service/Software Benchmarking

9.3 Ginger

9.3.1 Company Overview

9.3.2 Financial Analysis

9.3.3 Strategic Initiatives

9.3.4 Service/Software Benchmarking

9.4 Marigold Health

9.4.1 Company Overview

9.4.2 Financial Analysis

9.4.3 Strategic Initiatives

9.4.4 Service/Software Benchmarking

9.5 Mindstrong Health

9.5.1 Company Overview

9.5.2 Financial Analysis

9.5.3 Strategic Initiatives

9.5.4 Service/Software Benchmarking

9.6 Bark Technologies

9.6.1 Company Overview

9.6.2 Financial Analysis

9.6.3 Strategic Initiatives

9.6.4 Service/Software Benchmarking

9.7 BioBeats

9.7.1 Company Overview

9.7.2 Financial Analysis

9.7.3 Strategic Initiatives

9.7.4 Service/Software Benchmarking

9.8 Cognoa

9.8.1 Company Overview

9.8.2 Financial Analysis

9.8.3 Strategic Initiatives

9.8.4 Service/Software Benchmarking

9.9 Lyra Health

9.9.1 Company Overview

9.9.2 Financial Analysis

9.9.3 Strategic Initiatives

9.9.4 Service/Software Benchmarking

9.10 MeQuilibrium

9.10.1 Company Overview

9.10.2 Financial Analysis

9.10.3 Strategic Initiatives

9.10.4 Service/Software Benchmarking

List of Tables

1 Technological advancements in AI in mental health market

2 Global AI in mental health market: key market drivers

3 Global AI in mental health market: key market challenges

4 Global AI in mental health market: key market opportunities

5 Global AI in mental health market: Key market restraints

6 Global AI in mental health market estimates & forecast analysis, 2019-2027 (USD Million)

7 Global AI in mental health market, by technology, 2019-2027 (USD Million)

8 Machine learning and deep learning: Global AI in mental health market, by region, 2019-2027 (USD Million)

9 Natural Language Processing (NLP): Global AI in mental health market, by region, 2019-2027 (USD Million)

10 Others: Global AI in mental health market, by region, 2019-2027 (USD Million)

11 Global AI in mental health market, by application, 2019-2027 (USD Million)

12 Conversational interfaces: Global AI in mental health market, by region, 2019-2027 (USD Million)

13 Patient behavioral pattern recognition: Global AI in mental health market, by region, 2019-2027 (USD Million)

14 Global AI in mental health market, by component, 2019-2027 (USD Million)

15 Software-as-a-Service (SaaS): Global AI in mental health market, by region, 2019-2027 (USD Million)

16 Hardware: Global AI in mental health market, by region, 2019-2027 (USD Million)

17 Regional analysis: Global AI in mental health market, by region, 2019-2027 (USD Million)

18 North America: AI in mental health market, by technology, 2019-2027 (USD Million)

19 North America: AI in mental health market, by application, 2019-2027 (USD Million)

20 North America: AI in mental health market, by component, 2019-2027 (USD Million)

21 North America: AI in mental health market, by country, 2019-2027 (USD Million)

22 U.S.: AI in mental health market, by technology, 2019-2027 (USD Million)

23 U.S.: AI in mental health market, by application, 2019-2027 (USD Million)

24 U.S.: AI in mental health market, by component, 2019-2027 (USD Million)

25 Canada: AI in mental health market, by technology, 2019-2027 (USD Million)

26 Canada: AI in mental health market, by application, 2019-2027 (USD Million)

27 Canada: AI in mental health market, by component, 2019-2027 (USD Million)

28 Mexico: AI in mental health market, by technology, 2019-2027 (USD Million)

29 Mexico: AI in mental health market, by application, 2019-2027 (USD Million)

30 Mexico: AI in mental health market, by component, 2019-2027 (USD Million)

31 Europe: AI in mental health market, by technology, 2019-2027 (USD Million)

32 Europe: AI in mental health market, by application, 2019-2027 (USD Million)

33 Europe: AI in mental health market, by component, 2019-2027 (USD Million)

34 Europe: AI in mental health market, by country, 2019-2027 (USD Million)

35 Germany: AI in mental health market, by technology, 2019-2027 (USD Million)

36 Germany: AI in mental health market, by application, 2019-2027 (USD Million)

37 Germany: AI in mental health market, by component, 2019-2027 (USD Million)

38 UK: AI in mental health market, by technology, 2019-2027 (USD Million)

39 UK: AI in mental health market, by application, 2019-2027 (USD Million)

40 UK: AI in mental health market, by component, 2019-2027 (USD Million)

41 France: AI in mental health market, by technology, 2019-2027 (USD Million)

42 France: AI in mental health market, by application, 2019-2027 (USD Million)

43 France: AI in mental health market, by component, 2019-2027 (USD Million)

44 Italy: AI in mental health market, by technology, 2019-2027 (USD Million)

45 Italy: AI in mental health market, by application, 2019-2027 (USD Million)

46 Italy: AI in mental health market, by component, 2019-2027 (USD Million)

47 Spain: AI in mental health market, by technology, 2019-2027 (USD Million)

48 Spain: AI in mental health market, by application, 2019-2027 (USD Million)

49 Spain: AI in mental health market, by component, 2019-2027 (USD Million)

50 Rest of Europe: AI in mental health market, by technology, 2019-2027 (USD Million)

51 Rest of Europe: AI in mental health market, by application, 2019-2027 (USD Million)

52 Rest of Europe: AI in mental health market, by component, 2019-2027 (USD Million)

53 Asia Pacific: AI in mental health market, by technology, 2019-2027 (USD Million)

54 Asia Pacific: AI in mental health market, by application, 2019-2027 (USD Million)

55 Asia Pacific: AI in mental health market, by component, 2019-2027 (USD Million)

56 Asia Pacific: AI in mental health market, by country, 2019-2027 (USD Million)

57 China: AI in mental health market, by technology, 2019-2027 (USD Million)

58 China: AI in mental health market, by application, 2019-2027 (USD Million)

59 China: AI in mental health market, by component, 2019-2027 (USD Million)

60 India: AI in mental health market, by technology, 2019-2027 (USD Million)

61 India: AI in mental health market, by application, 2019-2027 (USD Million)

62 India: AI in mental health market, by component, 2019-2027 (USD Million)

63 Japan: AI in mental health market, by technology, 2019-2027 (USD Million)

64 Japan: AI in mental health market, by application, 2019-2027 (USD Million)

65 Japan: AI in mental health market, by component, 2019-2027 (USD Million)

66 South Korea: AI in mental health market, by technology, 2019-2027 (USD Million)

67 South Korea: AI in mental health market, by application, 2019-2027 (USD Million)

68 South Korea: AI in mental health market, by component, 2019-2027 (USD Million)

69 Middle East & Africa: AI in mental health market, by technology, 2019-2027 (USD Million)

70 Middle East & Africa: AI in mental health market, by application, 2019-2027 (USD Million)

71 Middle East & Africa: AI in mental health market, by component, 2019-2027 (USD Million)

72 Middle East & Africa: AI in mental health market, by country, 2019-2027 (USD Million)

73 Saudi Arabia: AI in mental health market, by technology, 2019-2027 (USD Million)

74 Saudi Arabia: AI in mental health market, by application, 2019-2027 (USD Million)

75 Saudi Arabia: AI in mental health market, by component, 2019-2027 (USD Million)

76 South Africa: AI in mental health market, by technology, 2019-2027 (USD Million)

77 South Africa: AI in mental health market, by application, 2019-2027 (USD Million)

78 South Africa: AI in mental health market, by component, 2019-2027 (USD Million)

79 Central & South America: AI in mental health market, by technology, 2019-2027 (USD Million)

80 Central & South America: AI in mental health market, by application, 2019-2027 (USD Million)

81 Central & South America: AI in mental health market, by component, 2019-2027 (USD Million)

82 Central & South America: AI in mental health market, by country, 2019-2027 (USD Million)

83 Brazil: AI in mental health market, by technology, 2019-2027 (USD Million)

84 Brazil: AI in mental health market, by application, 2019-2027 (USD Million)

85 Brazil: AI in mental health market, by component, 2019-2027 (USD Million)

86 Wysa Ltd: Products offered

87 Woebot Health: Products offered

88 Ginger: Products offered

89 Marigold Health: Products offered

90 Mindstrong Health: Products offered

91 Bark Technologies: Products offered

92 BioBeats: Products offered

93 Cognoa: Products offered

94 Lyra Health: Products offered

95 MeQuilibrium: Products offered

List of Figures

1. Global AI in mental health market segmentation & research scope

2. Primary research partners and local informers

3. Primary research process

4. Primary research approaches

5. Primary research responses

6. Global AI in mental health market: penetration & growth prospect mapping

7. Global AI in mental health market: value chain analysis

8. Global AI in mental health market drivers

9. Global AI in mental health market restraints

10. Global AI in mental health market opportunities

11. Global AI in mental health market challenges

12. Key AI in mental health market manufacturer analysis

13. Global AI in mental health market: porter’s five forces analysis

14. Pestle analysis & impact analysis

15. Wysa Ltd: Company snapshot

16. Wysa Ltd: SWOT analysis

17. Woebot Health: Company snapshot

18. Woebot Health: SWOT analysis

19. Ginger: Company snapshot

20. Ginger: SWOT analysis

21. Marigold Health: Company snapshot

22. Marigold Health: SWOT analysis

23. Mindstrong Health: Company snapshot

24. Mindstrong Health: SWOT analysis

25. Bark Technologies: Company snapshot

26. Bark Technologies: SWOT analysis

27. BioBeats: Company snapshot

28. BioBeats: SWOT analysis

29. Cognoa: Company snapshot

30. Cognoa: SWOT analysis

31. Lyra Health: Company snapshot

32. Lyra Health: SWOT analysis

33. MeQuilibrium: Company snapshot

34. MeQuilibrium: SWOT analysis

The Global AI in Mental Health Market has been studied from the year 2019 till 2027. However, the CAGR provided in the report is from the year 2022 to 2027. The research methodology involved three stages: Desk research, Primary research, and Analysis & Output from the entire research process.

The desk research involved a robust background study which meant referring to paid and unpaid databases to understand the market dynamics; mapping contracts from press releases; identifying the key players in the market, studying their product portfolio, competition level, annual reports/SEC filings & investor presentations; and learning the demand and supply-side analysis for the AI in Mental Health Market.

The primary research activity included telephonic conversations with more than 50 tier 1 industry consultants, distributors, and end-use product manufacturers.

Finally, based on the above thorough research process, an in-depth analysis was carried out considering the following aspects: market attractiveness, current & future market trends, market share analysis, SWOT analysis of the company and customer analytics.

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Frequently Asked Questions

What is the projected market growth of the global AI in mental health market?

The global AI in mental health market is projected to grow at a CAGR of 39.1% from 2022 to 2027.

Who are the major vendors in the AI in mental health market?

Wysa Ltd, Woebot Health, Ginger, Marigold Health, Mindstrong Health, Bark Technologies, BioBeats, Cognoa, Lyra Health, and MeQuilibrium among others, are some of the key players operating in the AI in mental health market.

What is the COVID-19 impact on future AI in mental health providers?

The COVID-19 pandemic had a favorable impact on market growth globally. Overall, hiring, investment, and acceptance of AI grew in 2020, reflecting long-term business trends that outlive the pandemics effects. During the epidemic, investment in AI-focused private enterprises remained substantial, particularly in fields tied to COVID. From 2019 to 2020, total global AI investment increased by 40%, compared to only a 12% increase from 2018 to 2019.

What are the major drivers of AI in mental health market?

The rising awareness of mental health, supportive government policies, and improved data management algorithms and solutions are some key factors that are driving market revenue. Moreover, increasing funding by private and public agencies in the development of novel solutions is creating opportunities for market growth.