メンタルヘルスにおける AI: 世界市場展望

出版：BCC Research（BCCリサーチ）　出版年月：2022年11月

AI in Mental Health: Global Market Outlook
メンタルヘルスにおける AI: 世界市場展望

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Report Highlights

The report provides an overview of the global AI in mental health market and analyzes market trends. Revenue forecasts for this period are segmented based on organization size, component, provider, type, industry, and geography. It also highlights major trends and challenges that affect the market and the vendor landscape.

Summary:

The rise of digital approaches to mental health has led to the development of predictions, detections, and treatment solutions based on artificial intelligence (AI) and machine learning (ML). Digital interventions, especially web and smartphone apps, are incorporating AI to enhance mental health care and optimize the user experience. A modern data stream enables the development of mental health prediction and detection models based on data-driven AI methods.

Despite the surge in depression and anxiety triggered by the pandemic, the suicide problem has not improved. Based on trained data sets, AI algorithms identify people’s behavior and mental activities and assist in suicide prevention. Suicide is prevented by detecting patterns and acting quickly to avoid negative consequences. With the adoption of AI, specialists can understand victims’ mental health and address the problem earlier. In this way, it helps in reducing the number of suicides worldwide. In the field of mental healthcare, AI has been utilized. Currently, AI is being used both in clinician- and customer-marketed apps, but there are many issues with its current implementation, including efficacy,
privacy, and security.

In addition, poor work-life balance, poor eating habits, social isolation, hectic schedules, and relationship issues are all contributing factors to the rise of mental illness across the globe, particularly in developed and emerging countries. The creation of advanced and updated applications, as well as increased awareness among people in developing economies, are anticipated to provide prospects over the forecast period.

In this report, the global market AI in mental health has been segmented based on offering, technology, disorder type, and geography. Based on offering, the AI in mental health market has been categorized into solutions and services. Based on technology, the AI in mental health market has been segmented into ML, natural language processing, and others.

By geography, the AI in mental health market has been segmented into North America, Europe, Asia- Pacific, and RoW. The North America region is currently the most dominant market for the global AI in mental health market. Smartphone adoption, network advancements, and internet and social media penetration drive the market. Increasing awareness about mental health in recent years, addiction to different substances, and less social interaction have contributed to APAC’s growth.

Report Scope:

In this report, the market has been segmented based on offering, technology, and geography. The report provides an overview of the global AI in mental health market and analyzes market trends. Using 2021 as the base year, the report provides estimated market data for the forecast period, 2022-2027. Revenue forecasts for this period are segmented based on organization size, component, provider, type, industry, and geography. Market values have been estimated based on the total revenue of AI in mental health application providers.

The report covers the market for AI in mental health with regard to the user base, across different regions. It also highlights major trends and challenges that affect the market and the vendor landscape. The report estimates the global market for AI in mental health in 2021 and provides projections for the expected market size through 2027.

The scope of the study includes AI in mental healthcare platforms and associated services, and services associated with the platform.

Report Includes:

– 12 data tables and 16 additional tables
– A brief general outlook of the global market for AI in mental health prediction, detection and treatment solutions
– Analyses of the global market trends, with market revenue data for 2021, estimates for 2022, and projections of compound annual growth rates (CAGRs) through 2027
– Estimation of the actual market size and revenue forecast for AI in mental health market, and the corresponding market share analysis offering, technology, disorder type, and geographic region
– Updated information on market drivers and opportunities for AI in enhancing mental health care, key shifts and trends, regulations and industry specific challenges, and other demographic factors that will shape this market demand in the coming years (2022-2027)
– Discussion of the industry value chain analysis for AI in mental health market providing a systematic study of key intermediaries involved, with emphasis on solutions and service providers across geographies
– Patent activity and review of patent grants for AI in mental health by each major category
– Identification of the major stakeholders and analysis of the competitive landscape based on recent developments and segmental revenues
– Company profiles of major players within the industry, including Ginger, Lyra Healthcare Inc., Quartet and Woebot Health

目次

Table of Contents
Chapter 1 Market Outlook
1.1 Market Outlook
Chapter 2 Executive Summary
Chapter 3 Market Overview
3.1 Overview
3.2 Future of AI in Mental Health
3.3 Market Dynamics
3.3.1 Market Drivers
3.3.2 Market Restraints
3.3.3 Market Challenges
3.4 Macroeconomic Factors of AI in Mental Health Market
3.4.1 Impact of COVID-19 on AI in Mental Health Market
3.4.2 Impact of Ukraine-Russia Crisis on Mental Health of Young People in Ukraine
Chapter 4 Market Opportunities/Technological Impact in Each Disorder Type
4.1 Market Opportunities
4.1.1 Growing Number of AI Start-ups Catering to Mental Health
4.1.1 Growing Demand for Apps That Offer Ease of Access
4.2 Disorder Type
4.2.1 Suicide Management
4.2.2 Stress Management
4.2.3 Mood Disorder
Chapter 5 Market Breakdown by Offering, Technology
5.1 AI in Mental Health Market by Offering
5.1.1 Solutions
5.1.2 Services
5.2 AI in Mental Health Market, by Technology
5.2.1 Machine Learning
5.2.2 Natural Language Processing
5.2.3 Others
Chapter 6 Market Breakdown by Region
6.1 Overview
6.2 North America
6.3 Europe
6.4 Asia-Pacific
6.5 Rest of the World
Chapter 7 Company Profiles
GINGER
LYRA HEALTH INC.
MERU
MINDSTRONG HEALTH
NEW LIFE SOLUTION INC.
QUARTET
SPRING CARE INC.
TALKSPACE INC.
WOEBOT HEALTH
WYSA LTD.
Chapter 8 Project Scope and Methodology
8.1 Scope of Report
8.2 Methodology
8.3 Analyst’s Credentials
8.4 BCC Custom Research
8.5 Related BCC Research Reports

List of Tables
Summary Table : Global Market for AI in Mental Health, by Region, Through 2027
Table 1 : Fast Growing Mental Health Start-Ups, Global, 2022
Table 2 : Global Market for AI in Mental Health, by Offering, Through 2027
Table 3 : Global Market for AI in Mental Health, by Technology, Through 2027
Table 4 : Global Market for AI in Mental Health, by Region, Through 2027
Table 5 : North American Market for AI in Mental Health, by Offering, Through 2027
Table 6 : North American Market for AI in Mental Health, by Technology, Through 2027
Table 7 : European Market for AI in Mental Health, by Offering, Through 2027
Table 8 : European Market for AI in Mental Health, by Technology, Through 2027
Table 9 : Asia-Pacific Market for AI in Mental Health, by Offering, Through 2027
Table 10 : Asia-Pacific Market for AI in Mental Health, by Technology, Through 2027
Table 11 : Rest of the World Market for AI in Mental Health, by Offering, Through 2027
Table 12 : Rest of the World Market for AI in Mental Health, by Technology, Through 2027
Table 13 : Ginger: Solution Offerings
Table 14 : Ginger: Recent Developments, 2021
Table 15 : Lyra Healthcare Inc.: Solution Offerings
Table 16 : Lyra Healthcare Inc.: Recent Developments, 2022
Table 17 : Meru: Solution Offerings
Table 18 : MindStrong Health: Solution Offerings
Table 19 : New Life Solution Inc.: Solution Offerings
Table 20 : New Life Solution Inc.: Recent Developments, 2022
Table 21 : Quartet: Solution Offerings
Table 22 : Quartet: Recent Developments, 2021
Table 23 : Spring Care Inc.: Solution Offerings
Table 24 : Talkspace Inc.: Solution Offerings
Table 25 : Talkspace Inc.: Recent Developments, 2022
Table 26 : Woebot Health: Solution Offerings
Table 27 : Wysa Ltd.: Solution Offerings

List of Figures
Summary Figure : Global Market Share of AI in Mental Health, by Region, 2021
Figure 1 : Benefits of Al in the Mental Health Field
Figure 2 : Changes in Demand by Treatment Area Since the COVID-19 Pandemic
Figure 3 : Global Market Share of AI in Mental Health, by Offering, 2021
Figure 4 : Global Market Share of AI in Mental Health, by Technology, 2021
Figure 5 : Global AI in Mental Health Market, by Region
Figure 6 : Global Market Share of AI in Mental Health, by Region, 2021
Figure 7 : North American Market Share of AI in Mental Health, by Offering, 2021
Figure 8 : North American Market Share of AI in Mental Health, by Technology, 2021
Figure 9 : European Market Share of AI in Mental Health, by Offering, 2021
Figure 10 : European Market Share of AI in Mental Health, by Technology, 2021
Figure 11 : Asia-Pacific Market Share of AI in Mental Health, by Offering, 2021
Figure 12 : Asia-Pacific Market Share of AI in Mental Health, by Technology, 2021
Figure 13 : Rest of the World Market Share of AI in Mental Health, by Offering, 2021
Figure 14 : Rest of the World Market Share of AI in Mental Health, by Technology, 2021
Figure 15 : Research Methodology for AI in Mental Health