세계의 정신건강 분야 인공지능(AI) 시장 조사 보고서 : 산업 분석, 규모, 점유율, 성장, 동향 및 예측(2024-2032년)

The global demand for Artificial Intelligence in Mental Health Market is presumed to reach the market size of nearly USD 11127.15 MN by 2032 from USD 910.22 MN in 2023 with a CAGR of 32.07% under the study period 2024 - 2032.

Artificial intelligence in mental health involves the use of AI technologies to assist in the diagnosis, treatment, and management of mental health conditions. AI applications may include virtual therapists, predictive analytics, and personalized treatment plans, offering innovative approaches to improve access and effectiveness in mental healthcare.

MARKET DYNAMICS

The Artificial Intelligence (AI) in Mental Health market is driven by the prevalence of mental health disorders, growing acceptance of AI-based solutions in healthcare, and the need for personalized and accessible mental health services. AI technologies, including ML and NLP, offer opportunities to improve mental health diagnosis, treatment, and patient management through data-driven insights and predictive analytics. The shortage of mental health professionals and the stigma associated with traditional therapy drive the adoption of AI-driven mental health solutions as accessible alternatives for early intervention and continuous support. Moreover, the COVID-19 pandemic has expedited the embrace of telemedicine and digital health platforms, opening avenues for artificial intelligence (AI)-based mental health applications to provide remote care and support services. Regulatory support for digital health technologies and reimbursement policies for telehealth services further fuel market growth. Moreover, partnerships between technology companies, healthcare providers, and research institutions facilitate the development and deployment of AI-driven mental health solutions, driving innovation and expanding market reach.

The research report covers Porter's Five Forces Model, Market Attractiveness Analysis, and Value Chain analysis. These tools help to get a clear picture of the industry's structure and evaluate the competition attractiveness at a global level. Additionally, these tools also give an inclusive assessment of each segment in the global market of artificial intelligence in mental health. The growth and trends of artificial intelligence in mental health industry provide a holistic approach to this study.

MARKET SEGMENTATION

This section of the artificial intelligence in mental health market report provides detailed data on the segments at country and regional level, thereby assisting the strategist in identifying the target demographics for the respective product or services with the upcoming opportunities.

By Technology

• Machine Learning & Deep Learning
• Natural Language Processing (NLP)
• Other Technologies

By Application

• Conversational Interfaces
• Patient Behavioral Pattern Recognition

REGIONAL ANALYSIS

This section covers the regional outlook, which accentuates current and future demand for the Artificial Intelligence in Mental Health market across North America, Europe, Asia-Pacific, Latin America, and Middle East & Africa. Further, the report focuses on demand, estimation, and forecast for individual application segments across all the prominent regions.

The research report also covers the comprehensive profiles of the key players in the market and an in-depth view of the competitive landscape worldwide. The major players in the Artificial Intelligence in Mental Health market include Woebot Health, Ginger, Quartet Health, Wysa, Ieso Digital Health, Cogniant, Pear Therapeutics, NeuroFlow, Ksana Health, Mindstrong Health., and others. This section consists of a holistic view of the competitive landscape that includes various strategic developments such as key mergers & acquisitions, future capacities, partnerships, financial overviews, collaborations, new product developments, new product launches, and other developments.

In case you have any custom requirements, do write to us. Our research team can offer a customized report as per your need.

TABLE OF CONTENTS

1 . PREFACE

• 1.1. Report Description
  • 1.1.1. Objective
  • 1.1.2. Target Audience
  • 1.1.3. Unique Selling Proposition (USP) & offerings
• 1.2. Research Scope
• 1.3. Research Methodology
  • 1.3.1. Market Research Process
  • 1.3.2. Market Research Methodology

2 . EXECUTIVE SUMMARY

• 2.1. Highlights of Market
• 2.2. Global Market Snapshot

3 . ARTIFICIAL INTELLIGENCE IN MENTAL HEALTH - INDUSTRY ANALYSIS

• 3.1. Introduction - Market Dynamics
• 3.2. Market Drivers
• 3.3. Market Restraints
• 3.4. Opportunities
• 3.5. Industry Trends
• 3.6. Porter's Five Force Analysis
• 3.7. Market Attractiveness Analysis
  • 3.7.1 Market Attractiveness Analysis By Technology
  • 3.7.2 Market Attractiveness Analysis By Application
  • 3.7.3 Market Attractiveness Analysis By Region

4 . VALUE CHAIN ANALYSIS

• 4.1. Value Chain Analysis
• 4.2. Raw Material Analysis
  • 4.2.1. List of Raw Materials
  • 4.2.2. Raw Material Manufactures List
  • 4.2.3. Price Trend of Key Raw Materials
• 4.3. List of Potential Buyers
• 4.4. Marketing Channel
  • 4.4.1. Direct Marketing
  • 4.4.2. Indirect Marketing
  • 4.4.3. Marketing Channel Development Trend

5 . GLOBAL ARTIFICIAL INTELLIGENCE IN MENTAL HEALTH MARKET ANALYSIS BY TECHNOLOGY

• 5.1 Overview by Technology
• 5.2 Historical and Forecast Data
• 5.3 Analysis by Technology
• 5.4 Machine Learning & Deep Learning Historic and Forecast Sales by Regions
• 5.5 Natural Language Processing (NLP) Historic and Forecast Sales by Regions
• 5.6 Other Technologies Historic and Forecast Sales by Regions

6 . GLOBAL ARTIFICIAL INTELLIGENCE IN MENTAL HEALTH MARKET ANALYSIS BY APPLICATION

• 6.1 Overview by Application
• 6.2 Historical and Forecast Data
• 6.3 Analysis by Application
• 6.4 Conversational Interfaces Historic and Forecast Sales by Regions
• 6.5 Patient Behavioral Pattern Recognition Historic and Forecast Sales by Regions

7 . GLOBAL ARTIFICIAL INTELLIGENCE IN MENTAL HEALTH MARKET ANALYSIS BY GEOGRAPHY

• 7.1. Regional Outlook
• 7.2. Introduction
• 7.3. North America Sales Analysis
  • 7.3.1. Overview, Historic and Forecast Data Sales Analysis
  • 7.3.2. North America By Segment Sales Analysis
  • 7.3.3. North America By Country Sales Analysis
  • 7.3.4. United State Sales Analysis
  • 7.3.5. Canada Sales Analysis
  • 7.3.6. Mexico Sales Analysis
• 7.4. Europe Sales Analysis
  • 7.4.1. Overview, Historic and Forecast Data Sales Analysis
  • 7.4.2. Europe by Segment Sales Analysis
  • 7.4.3. Europe by Country Sales Analysis
  • 7.4.4. United Kingdom Sales Analysis
  • 7.4.5. France Sales Analysis
  • 7.4.6. Germany Sales Analysis
  • 7.4.7. Italy Sales Analysis
  • 7.4.8. Russia Sales Analysis
  • 7.4.9. Rest Of Europe Sales Analysis
• 7.5. Asia Pacific Sales Analysis
  • 7.5.1. Overview, Historic and Forecast Data Sales Analysis
  • 7.5.2. Asia Pacific by Segment Sales Analysis
  • 7.5.3. Asia Pacific by Country Sales Analysis
  • 7.5.4. China Sales Analysis
  • 7.5.5. India Sales Analysis
  • 7.5.6. Japan Sales Analysis
  • 7.5.7. South Korea Sales Analysis
  • 7.5.8. Australia Sales Analysis
  • 7.5.9. South East Asia Sales Analysis
  • 7.5.10. Rest Of Asia Pacific Sales Analysis
• 7.6. Latin America Sales Analysis
  • 7.6.1. Overview, Historic and Forecast Data Sales Analysis
  • 7.6.2. Latin America by Segment Sales Analysis
  • 7.6.3. Latin America by Country Sales Analysis
  • 7.6.4. Brazil Sales Analysis
  • 7.6.5. Argentina Sales Analysis
  • 7.6.6. Peru Sales Analysis
  • 7.6.7. Chile Sales Analysis
  • 7.6.8. Rest of Latin America Sales Analysis
• 7.7. Middle East & Africa Sales Analysis
  • 7.7.1. Overview, Historic and Forecast Data Sales Analysis
  • 7.7.2. Middle East & Africa by Segment Sales Analysis
  • 7.7.3. Middle East & Africa by Country Sales Analysis
  • 7.7.4. Saudi Arabia Sales Analysis
  • 7.7.5. UAE Sales Analysis
  • 7.7.6. Israel Sales Analysis
  • 7.7.7. South Africa Sales Analysis
  • 7.7.8. Rest Of Middle East And Africa Sales Analysis

8 . COMPETITIVE LANDSCAPE OF THE ARTIFICIAL INTELLIGENCE IN MENTAL HEALTH COMPANIES

• 8.1. Artificial Intelligence In Mental Health Market Competition
• 8.2. Partnership/Collaboration/Agreement
• 8.3. Merger And Acquisitions
• 8.4. New Product Launch
• 8.5. Other Developments

9 . COMPANY PROFILES OF ARTIFICIAL INTELLIGENCE IN MENTAL HEALTH INDUSTRY

• 9.1. Top Companies Market Share Analysis
• 9.2. Market Concentration Rate
• 9.3. Woebot Health
  • 9.3.1. Company Overview
  • 9.3.2. Company Revenue
  • 9.3.3. Products
  • 9.3.4. Recent Developments
• 9.4. Ginger
  • 9.4.1. Company Overview
  • 9.4.2. Company Revenue
  • 9.4.3. Products
  • 9.4.4. Recent Developments
• 9.5. Quartet Health
  • 9.5.1. Company Overview
  • 9.5.2. Company Revenue
  • 9.5.3. Products
  • 9.5.4. Recent Developments
• 9.6. Wysa
  • 9.6.1. Company Overview
  • 9.6.2. Company Revenue
  • 9.6.3. Products
  • 9.6.4. Recent Developments
• 9.7. Ieso Digital Health
  • 9.7.1. Company Overview
  • 9.7.2. Company Revenue
  • 9.7.3. Products
  • 9.7.4. Recent Developments
• 9.8. Cogniant
  • 9.8.1. Company Overview
  • 9.8.2. Company Revenue
  • 9.8.3. Products
  • 9.8.4. Recent Developments
• 9.9. Pear Therapeutics
  • 9.9.1. Company Overview
  • 9.9.2. Company Revenue
  • 9.9.3. Products
  • 9.9.4. Recent Developments
• 9.10. NeuroFlow
  • 9.10.1. Company Overview
  • 9.10.2. Company Revenue
  • 9.10.3. Products
  • 9.10.4. Recent Developments
• 9.11. Ksana Health
  • 9.11.1. Company Overview
  • 9.11.2. Company Revenue
  • 9.11.3. Products
  • 9.11.4. Recent Developments
• 9.12. Mindstrong Health.
  • 9.12.1. Company Overview
  • 9.12.2. Company Revenue
  • 9.12.3. Products
  • 9.12.4. Recent Developments
• 9.13. Others
  • 9.13.1. Company Overview
  • 9.13.2. Company Revenue
  • 9.13.3. Products
  • 9.13.4. Recent Developments

Note - in company profiling, financial details and recent development are subject to availability or might not be covered in case of private companies