정신건강 분야 AI 시장 규모, 점유율, 동향 분석 보고서 : 제공별, 기술별, 질환별, 지역별, 부문별 예측(2026-2033년)

AI In Mental Health Market Size, Share & Trends Analysis Report By Offering, By Technology, By Disorder, By Region, And Segment Forecasts, 2026 - 2033

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한글목차

정신건강 분야 AI 시장 개요

세계의 정신건강 분야 AI 시장 규모는 2025년에 17억 1,000만 달러로 추정되며, 2026- 2033년까지 CAGR 23.29%로 성장하여 2033년에 91억 2,000만 달러에 달할 것으로 예측됩니다.

이러한 시장 성장은 정신질환의 유병률 증가와 정신건강에 대한 인식이 높아짐에 따라 정신건강에 대한 인식이 높아진 것이 주요 요인으로 작용하고 있습니다.

2022년 6월 세계보건기구(WHO) 보고서에 따르면 2019년 기준 전 세계 약 9억 7,000만 명이 정신장애를 앓고 있으며, 우울증과 불안장애가 가장 많았다고 합니다. 이러한 조직들은 정신건강 부문에 AI 기술을 도입하고 보급하기 위해 여러 가지 노력을 기울이고 있습니다. 예를 들어, 2024년 4월 WHO는 획기적인 디지털 건강증진기 프로토타입 'S.A.R.A.H.'를 발표했습니다. 고도의 생성형 AI를 탑재한 S.A.R.A.H.는 강화된 공감 반응 능력을 갖추고 있습니다. 새로운 언어 모델과 최첨단 기술을 활용하여 8개 언어로 대응 가능한 모든 기기에서 다양한 건강 주제에 대해 24시간 365일 대화할 수 있습니다.

전 세계 각국 정부는 의료 발전에서 AI의 중요한 역할을 점점 더 인식하고 있으며, 이 부문의 연구 개발을 지원하기 위해 자금을 할당하고 있습니다. 예를 들어, 미국 국립보건원(NIH) 산하 국립정신건강연구소(NIMH)가 2023년 6월에 발표한 기사에 따르면, AI와 머신러닝을 정신건강에 적용하는 첨단 기술 연구에 특화된 400개 이상의 보조금에 자금을 배정했다고 합니다. 또한, 원격의료 서비스가 확대됨에 따라 가상 의료 제공 시스템에 원활하게 통합될 수 있는 원격 정신건강 검진 도구의 필요성이 부각되고 있습니다.

머신러닝(ML)과 자연어 처리(NLP)를 포함한 AI 기술의 발전으로 보다 높은 정확도와 개별화 된 정신질환 진단 및 모니터링 치료를 위한 첨단 도구의 개발이 가능해졌습니다. 벤처 캐피털과 사모펀드의 투자 증가는 스타트업과 기존 기업들이 서비스 혁신과 확장을 위한 재원을 제공하고 있습니다. 또한, 의료 제공자와 환자 모두 디지털 헬스 솔루션에 대한 수용이 확대됨에 따라 AI 기술이 일상적인 정신건강 관리 관행에 통합되고 있습니다. 이러한 촉진요인들이 결합되어 정신건강 시장에서 AI는 접근성이 높고 개인화된 치료를 제공하는 데 있어 더욱 혁신적이고, 효율적이며, 효과적인 방향으로 나아가고 있습니다.

목차

제1장 조사 방법과 범위

제2장 주요 요약

제3장 정신건강 분야 AI 시장 변수, 동향과 범위

• 시장 계보 전망
  • 상부 시장 전망
  • 관련/부수 시장 전망
• 시장 역학
• 정신건강 분야 AI 시장 분석 툴
  • 산업 분석 : Porter's Five Forces
  • PESTEL 분석

제4장 정신건강 분야 AI 시장 : 제공별, 추정·동향 분석

• 세계의 정신건강 분야 AI 시장 제공별 변동 분석
• 세계의 정신건강 분야 AI 시장 규모와 동향 분석(제공별, 2021-2033년)
• 소프트웨어
• 서비스

제5장 정신건강 분야 AI 시장 : 기술별, 추정·동향 분석

• 세계의 정신건강 분야 AI 시장 기술별 변동 분석
• 세계의 정신건강 분야 AI 시장 규모와 동향 분석(기술별, 2021-2033년)
• 머신러닝
  • 딥러닝
  • 기타
• 자연어 처리(NLP)
  • 텍스트 분석
  • 음성 분석
  • 스마트 어시스턴트
  • 기타
• 기타

제6장 정신건강 분야 AI 시장 : 질환별, 추정·동향 분석

• 세계의 정신건강 분야 AI 시장 질환별 변동 분석
• 세계의 정신건강 분야 AI 시장 규모와 동향 분석(질환별, 2021-2033년)
• 불안
• 우울증
• 정신분열증
• 외상 후 스트레스 장애(PTSD)
• 불면증
• 기타

제7장 정신건강 분야 AI 시장 : 지역별, 추정·동향 분석

• 지역별 시장 점유율 분석(2025년과 2033년)
• 지역별 시장 대시보드
• 시장 규모와 예측 동향 분석, 2021-2033년
• 북미
  • 미국
  • 캐나다
  • 멕시코
• 유럽
  • 영국
  • 독일
  • 프랑스
  • 이탈리아
  • 스페인
  • 노르웨이
  • 스웨덴
  • 덴마크
• 아시아태평양
  • 일본
  • 중국
  • 인도
  • 호주
  • 한국
  • 태국
• 라틴아메리카
  • 브라질
  • 아르헨티나
• 중동 및 아프리카
  • 남아프리카공화국
  • 사우디아라비아
  • 아랍에미리트
  • 쿠웨이트

제8장 경쟁 구도

• 기업/경쟁 분류
• 전략 매핑
• 2025년의 기업 시장 상황 분석
• 기업 개요/리스트
  • Wysa Ltd
  • Woebot Health
  • Spring Care, Inc.
  • Lyra Health, Inc.
  • Syra Health
  • Limbic
  • Kintsugi Mindful Wellness, Inc
  • Aiberry
  • Ellipsis Health
  • HEADSPACE HEALTH

KSM

영문 목차

영문목차

AI In Mental Health Market Summary

The global AI in mental health market size was estimated at USD 1.71 billion in 2025 and is projected to reach USD 9.12 billion by 2033, at a CAGR of 23.29% from 2026 to 2033. The market growth is driven by factors such as the increasing prevalence of mental disorders and heightened awareness regarding mental health as a significant health concern.

According to a June 2022 World Health Organization (WHO) report, approximately 970 million people worldwide were living with a mental disorder in 2019, with depression and anxiety being the most prevalent. These organizations are taking several steps to implement and promote AI technologies in mental health. For instance, in April 2024, the WHO launched S.A.R.A.H., a groundbreaking digital health promoter prototype. Powered by advanced generative AI, S.A.R.A.H. features an enhanced empathetic response capability. Utilizing new language models and cutting-edge technology, it provides 24/7 engagement on various health topics, accessible in 8 languages and available on any device.

Governments worldwide are increasingly recognizing the significant role of AI in advancing mental healthcare and are allocating funding to support research and development in this field. For instance, according to an article by the National Institutes of Health (NIH) published in June 2023, the National Institute of Mental Health (NIMH), a division of the US National Institutes of Health, has allocated funds for over 400 grants dedicated to research into advanced technologies such as AI and machine learning applications for mental health. Moreover, the growth of telehealth services has highlighted the need for remote mental health screening tools that can be seamlessly integrated into virtual care delivery systems.

Technological advancements in AI, including machine learning (ML) and natural language processing (NLP), have enabled the development of sophisticated tools that can diagnose, monitor, and treat mental health conditions with greater accuracy and personalization. Increased investment from venture capitalists and private equity firms has provided funding for startups and established companies to innovate and expand their offerings. Additionally, the growing acceptance of digital health solutions among healthcare providers and patients has facilitated the integration of AI technologies into everyday mental healthcare practices. These drivers collectively propel AI in the mental health market toward greater innovation, efficiency, and effectiveness in delivering accessible, personalized care.

Global AI In Mental Health Market Report Segmentation

This report forecasts revenue growth at the global, regional, and country levels and provides an analysis of the latest industry trends in each of the sub-segments from 2021 to 2033. For this study, Grand View Research has segmented the global AI in mental health market report based on offering, technology, disorder, and region:

• Offering Outlook (Revenue, USD Million, 2021 - 2033)
• Software
• Services
• Technology Outlook (Revenue, USD Million, 2021 - 2033)
• Machine Learning
  • Deep learning
  • Others
• Natural Language Processing
  • Text Analytics
  • Speech Analytics
  • Smart Assistance
  • Others
• Others
• Disorder Outlook (Revenue, USD Million, 2021 - 2033)
• Anxiety
• Depression
• Schizophrenia
• Post-Traumatic Stress Disorder (PTSD)
• Insomnia
• Others
• Regional Outlook (Revenue, USD Million, 2021 - 2033)
• North America
  • U.S.
  • Canada
  • Mexico
• Europe
  • Germany
  • UK
  • France
  • Italy
  • Spain
  • Denmark
  • Sweden
  • Norway
• Asia Pacific
  • China
  • Japan
  • India
  • South Korea
  • Australia
  • Thailand
• Latin America
  • Brazil
  • Argentina
• MEA
  • South Africa
  • Saudi Arabia
  • UAE
  • Kuwait

Table of Contents

Chapter 1. Methodology and Scope

• 1.1. Market Segmentation & Scope
• 1.2. Market Definitions
  • 1.2.1. Offering Segment
  • 1.2.2. Technology Segment
  • 1.2.3. Disorder Segment
• 1.3. Information analysis
  • 1.3.1. Market formulation & data visualization
• 1.4. Data validation & publishing
• 1.5. Information Procurement
  • 1.5.1. Primary Research
• 1.6. Information or Data Analysis
• 1.7. Market Formulation & Validation
• 1.8. Market Model
• 1.9. Total Market: CAGR Calculation
• 1.10. Objectives
  • 1.10.1. Objective 1
  • 1.10.2. Objective 2

Chapter 2. Executive Summary

• 2.1. Market Outlook
• 2.2. Segment Snapshot
• 2.3. Competitive Insights Landscape

Chapter 3. Artificial Intelligence in Mental Health Market Variables, Trends & Scope

• 3.1. Market Lineage Outlook
  • 3.1.1. Parent market outlook
  • 3.1.2. Related/ancillary market outlook.
• 3.2. Market Dynamics
  • 3.2.1. Market driver analysis
  • 3.2.2. Market restraint analysis
  • 3.2.3. Market opportunity analysis
  • 3.2.4. Market challenges analysis
• 3.3. Artificial Intelligence in Mental Health Market Analysis Tools
  • 3.3.1. Industry Analysis - Porter's
    • 3.3.1.1. Supplier power
    • 3.3.1.2. Buyer power
    • 3.3.1.3. Substitution threat
    • 3.3.1.4. Threat of new entrant
    • 3.3.1.5. Competitive rivalry
  • 3.3.2. PESTEL Analysis
    • 3.3.2.1. Political landscape
    • 3.3.2.2. Technological landscape
    • 3.3.2.3. Economic landscape
    • 3.3.2.4. Environmental Landscape
    • 3.3.2.5. Legal Landscape
    • 3.3.2.6. Social Landscape

Chapter 4. Artificial Intelligence in Mental Health Market: Offering Estimates & Trend Analysis

• 4.1. Segment Dashboard
• 4.2. Global Artificial Intelligence in Mental Health Market Offering Movement Analysis
• 4.3. Global Artificial Intelligence in Mental Health Market Size & Trend Analysis, by Offering, 2021 to 2033 (USD Million)
• 4.4. Software
  • 4.4.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
• 4.5. Services
  • 4.5.1. Market estimates and forecasts, 2021 to 2033 (USD Million)

Chapter 5. Artificial Intelligence in Mental Health Market: Technology Estimates & Trend Analysis

• 5.1. Segment Dashboard
• 5.2. Global Artificial Intelligence in Mental Health Market Technology Movement Analysis
• 5.3. Global Artificial Intelligence in Mental Health Market Size & Trend Analysis, by Technology, 2021 to 2033 (USD Million)
• 5.4. Machine Learning
  • 5.4.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
  • 5.4.2. Deep Learning
    • 5.4.2.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
  • 5.4.3. Others
    • 5.4.3.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
• 5.5. Natural Language Processing (NLP)
  • 5.5.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
  • 5.5.2. Text Analytics
    • 5.5.2.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
  • 5.5.3. Speech Analytics
    • 5.5.3.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
  • 5.5.4. Smart Assistance
    • 5.5.4.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
  • 5.5.5. Others
    • 5.5.5.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
• 5.6. Others
  • 5.6.1. Market estimates and forecasts, 2021 to 2033 (USD Million)

Chapter 6. Artificial Intelligence in Mental Health Market: Disorder Estimates & Trend Analysis

• 6.1. Segment Dashboard
• 6.2. Global Artificial Intelligence in Mental Health Market Disorder Movement Analysis
• 6.3. Global Artificial Intelligence in Mental Health Market Size & Trend Analysis, by Disorder, 2021 to 2033 (USD Million)
• 6.4. Anxiety
  • 6.4.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
• 6.5. Depression
  • 6.5.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
• 6.6. Schizophrenia
  • 6.6.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
• 6.7. Post-Traumatic Stress Disorder (PTSD)
  • 6.7.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
• 6.8. Insomnia
  • 6.8.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
• 6.9. Others
  • 6.9.1. Market estimates and forecasts, 2021 to 2033 (USD Million)

Chapter 7. Artificial Intelligence in Mental Health Market: Regional Estimates & Trend Analysis

• 7.1. Regional Market Share Analysis, 2025 & 2033
• 7.2. Regional Market Dashboard
• 7.3. Market Size & Forecasts Trend Analysis, 2021 to 2033:
• 7.4. North America
  • 7.4.1. U.S.
    • 7.4.1.1. Key country dynamics
    • 7.4.1.2. Regulatory framework
    • 7.4.1.3. Competitive scenario
    • 7.4.1.4. U.S. market estimates and forecasts 2021 to 2033 (USD Million)
  • 7.4.2. Canada
    • 7.4.2.1. Key country dynamics
    • 7.4.2.2. Regulatory framework
    • 7.4.2.3. Competitive scenario
    • 7.4.2.4. Canada market estimates and forecasts 2021 to 2033 (USD Million)
  • 7.4.3. Mexico
    • 7.4.3.1. Key country dynamics
    • 7.4.3.2. Regulatory framework
    • 7.4.3.3. Competitive scenario
    • 7.4.3.4. Mexico market estimates and forecasts 2021 to 2033 (USD Million)
• 7.5. Europe
  • 7.5.1. UK
    • 7.5.1.1. Key country dynamics
    • 7.5.1.2. Regulatory framework
    • 7.5.1.3. Competitive scenario
    • 7.5.1.4. UK market estimates and forecasts 2021 to 2033 (USD Million)
  • 7.5.2. Germany
    • 7.5.2.1. Key country dynamics
    • 7.5.2.2. Regulatory framework
    • 7.5.2.3. Competitive scenario
    • 7.5.2.4. Germany market estimates and forecasts 2021 to 2033 (USD Million)
  • 7.5.3. France
    • 7.5.3.1. Key country dynamics
    • 7.5.3.2. Regulatory framework
    • 7.5.3.3. Competitive scenario
    • 7.5.3.4. France market estimates and forecasts 2021 to 2033 (USD Million)
  • 7.5.4. Italy
    • 7.5.4.1. Key country dynamics
    • 7.5.4.2. Regulatory framework
    • 7.5.4.3. Competitive scenario
    • 7.5.4.4. Italy market estimates and forecasts 2021 to 2033 (USD Million)
  • 7.5.5. Spain
    • 7.5.5.1. Key country dynamics
    • 7.5.5.2. Regulatory framework
    • 7.5.5.3. Competitive scenario
    • 7.5.5.4. Spain market estimates and forecasts 2021 to 2033 (USD Million)
  • 7.5.6. Norway
    • 7.5.6.1. Key country dynamics
    • 7.5.6.2. Regulatory framework
    • 7.5.6.3. Competitive scenario
    • 7.5.6.4. Norway market estimates and forecasts 2021 to 2033 (USD Million)
  • 7.5.7. Sweden
    • 7.5.7.1. Key country dynamics
    • 7.5.7.2. Regulatory framework
    • 7.5.7.3. Competitive scenario
    • 7.5.7.4. Sweden market estimates and forecasts 2021 to 2033 (USD Million)
  • 7.5.8. Denmark
    • 7.5.8.1. Key country dynamics
    • 7.5.8.2. Regulatory framework
    • 7.5.8.3. Competitive scenario
    • 7.5.8.4. Denmark market estimates and forecasts 2021 to 2033 (USD Million)
• 7.6. Asia Pacific
  • 7.6.1. Japan
    • 7.6.1.1. Key country dynamics
    • 7.6.1.2. Regulatory framework
    • 7.6.1.3. Competitive scenario
    • 7.6.1.4. Japan market estimates and forecasts 2021 to 2033 (USD Million)
  • 7.6.2. China
    • 7.6.2.1. Key country dynamics
    • 7.6.2.2. Regulatory framework
    • 7.6.2.3. Competitive scenario
    • 7.6.2.4. China market estimates and forecasts 2021 to 2033 (USD Million)
  • 7.6.3. India
    • 7.6.3.1. Key country dynamics
    • 7.6.3.2. Regulatory framework
    • 7.6.3.3. Competitive scenario
    • 7.6.3.4. India market estimates and forecasts 2021 to 2033 (USD Million)
  • 7.6.4. Australia
    • 7.6.4.1. Key country dynamics
    • 7.6.4.2. Regulatory framework
    • 7.6.4.3. Competitive scenario
    • 7.6.4.4. Australia market estimates and forecasts 2021 to 2033 (USD Million)
  • 7.6.5. South Korea
    • 7.6.5.1. Key country dynamics
    • 7.6.5.2. Regulatory framework
    • 7.6.5.3. Competitive scenario
    • 7.6.5.4. South Korea market estimates and forecasts 2021 to 2033 (USD Million)
  • 7.6.6. Thailand
    • 7.6.6.1. Key country dynamics
    • 7.6.6.2. Regulatory framework
    • 7.6.6.3. Competitive scenario
    • 7.6.6.4. Thailand market estimates and forecasts 2021 to 2033 (USD Million)
• 7.7. Latin America
  • 7.7.1. Brazil
    • 7.7.1.1. Key country dynamics
    • 7.7.1.2. Regulatory framework
    • 7.7.1.3. Competitive scenario
    • 7.7.1.4. Brazil market estimates and forecasts 2021 to 2033 (USD Million)
  • 7.7.2. Argentina
    • 7.7.2.1. Key country dynamics
    • 7.7.2.2. Regulatory framework
    • 7.7.2.3. Competitive scenario
    • 7.7.2.4. Argentina market estimates and forecasts 2021 to 2033 (USD Million)
• 7.8. MEA
  • 7.8.1. South Africa
    • 7.8.1.1. Key country dynamics
    • 7.8.1.2. Regulatory framework
    • 7.8.1.3. Competitive scenario
    • 7.8.1.4. South Africa market estimates and forecasts 2021 to 2033 (USD Million)
  • 7.8.2. Saudi Arabia
    • 7.8.2.1. Key country dynamics
    • 7.8.2.2. Regulatory framework
    • 7.8.2.3. Competitive scenario
    • 7.8.2.4. Saudi Arabia market estimates and forecasts 2021 to 2033 (USD Million)
  • 7.8.3. UAE
    • 7.8.3.1. Key country dynamics
    • 7.8.3.2. Regulatory framework
    • 7.8.3.3. Competitive scenario
    • 7.8.3.4. UAE market estimates and forecasts 2021 to 2033 (USD Million)
  • 7.8.4. Kuwait
    • 7.8.4.1. Key country dynamics
    • 7.8.4.2. Regulatory framework
    • 7.8.4.3. Competitive scenario
    • 7.8.4.4. Kuwait market estimates and forecasts 2021 to 2033 (USD Million)

Chapter 8. Competitive Landscape

• 8.1. Company/Competition Categorization
• 8.2. Strategy Mapping
• 8.3. Company Market Position Analysis, 2025
• 8.4. Company Profiles/Listing
  • 8.4.1. Wysa Ltd
    • 8.4.1.1. Company overview
    • 8.4.1.2. Financial performance
    • 8.4.1.3. Technology type benchmarking
    • 8.4.1.4. Strategic initiatives
  • 8.4.2. Woebot Health
    • 8.4.2.1. Company overview
    • 8.4.2.2. Financial performance
    • 8.4.2.3. Technology type benchmarking
    • 8.4.2.4. Strategic initiatives
  • 8.4.3. Spring Care, Inc.
    • 8.4.3.1. Company overview
    • 8.4.3.2. Financial performance
    • 8.4.3.3. Technology type benchmarking
    • 8.4.3.4. Strategic initiatives
  • 8.4.4. Lyra Health, Inc.
    • 8.4.4.1. Company overview
    • 8.4.4.2. Financial performance
    • 8.4.4.3. Technology type benchmarking
    • 8.4.4.4. Strategic initiatives
  • 8.4.5. Syra Health
    • 8.4.5.1. Company overview
    • 8.4.5.2. Financial performance
    • 8.4.5.3. Technology type benchmarking
    • 8.4.5.4. Strategic initiatives
  • 8.4.6. Limbic
    • 8.4.6.1. Company overview
    • 8.4.6.2. Financial performance
    • 8.4.6.3. Technology type benchmarking
    • 8.4.6.4. Strategic initiatives
  • 8.4.7. Kintsugi Mindful Wellness, Inc
    • 8.4.7.1. Company overview
    • 8.4.7.2. Financial performance
    • 8.4.7.3. Technology type benchmarking
    • 8.4.7.4. Strategic initiatives
  • 8.4.8. Aiberry
    • 8.4.8.1. Company overview
    • 8.4.8.2. Financial performance
    • 8.4.8.3. Technology type benchmarking
    • 8.4.8.4. Strategic initiatives
  • 8.4.9. Ellipsis Health
    • 8.4.9.1. Company overview
    • 8.4.9.2. Financial performance
    • 8.4.9.3. Technology type benchmarking
    • 8.4.9.4. Strategic initiatives
  • 8.4.10. HEADSPACE HEALTH
    • 8.4.10.1. Company overview
    • 8.4.10.2. Financial performance
    • 8.4.10.3. Technology type benchmarking
    • 8.4.10.4. Strategic initiatives

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