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정신건강 분야 AI 시장 규모, 점유율, 동향 분석 보고서 : 제공별, 기술별, 질병별, 지역별, 부문별 예측(2024-2030년)

AI In Mental Health Market Size, Share & Trends Analysis Report By Offering (Software, Services), By Technology (ML, NLP), By Disorder, By Region, And Segment Forecasts, 2024 - 2030
발행일: | 리서치사: Grand View Research | 페이지 정보: 영문 125 Pages | 배송안내 : 2-10일 (영업일 기준)

    
    
    




※ 본 상품은 영문 자료로 한글과 영문 목차에 불일치하는 내용이 있을 경우 영문을 우선합니다. 정확한 검토를 위해 영문 목차를 참고해주시기 바랍니다.

정신건강 분야 AI 시장 및 동향

Grand View Research, Inc.의 최신 보고서에 따르면, 세계 정신건강 분야의 AI 시장 규모는 2024년부터 2030년까지 연평균 24.10% 성장하여 2030년에는 50억 8,000만 달러에 달할 것으로 예상됩니다. 불안, 우울증, 조현병을 포함한 정신건강 질환의 유병률 증가는 정신건강 앱의 급속한 도입으로 이어졌고, AI와 같은 기술은 개인화 된 치료 및 질병 예측과 같은 몇 가지 이점을 활용할 수 있습니다. 400만 명 중 300명 중 1명(0.32%)이 앓고 있습니다. 이 비율은 성인 222명 중 1명(0.45%)에 해당합니다.

WHO의 2023년 2월 인사이트에 따르면 2021년 유럽에서 1억 5,000만 명 이상이 정신건강 문제를 겪고 있으며, 최근 몇 년 동안 COVID-19 팬데믹으로 인해 의료 서비스에 대한 접근성이 감소하면서 이러한 문제가 더욱 심화되고 있습니다. 스트레스의 급증, 경제 불황, 분쟁, 폭력은 정신건강의 취약성을 부각시키고 있습니다. 동시에 인공지능(AI) 분야는 의료와 헬스케어에 혁명을 일으키고 있으며, AI는 정신건강 서비스를 계획하는 데 있어 개인과 지역사회의 정신건강 상태를 파악 및 모니터링하는 중요한 도구로 부상하고 있습니다. AI 기반 도구는 전자 의료 기록, 의료 영상, 수기 임상 기록 등 디지털화된 의료 데이터를 활용하여 업무 자동화를 강화하고 의료진을 지원하며 복잡한 정신건강 질환에 대한 이해를 높일 수 있도록 돕습니다.

음성 및 텍스트 분석과 같은 AI 알고리즘의 기술적 발전은 우울증, 불안, PTSD와 같은 정신건강 상태의 징후를 감지하는 치료용 챗봇, Woebot 및 Wysa와 같은 애플리케이션은 대화형 AI를 사용하여 사용자와 상호 작용하고 실시간 정신건강 지원을 제공합니다. AI 기반 가상 치료사는 채팅 인터페이스와 음성 대화를 통해 인지행동치료(CBT) 및 기타 치료법을 제공하는 등 AI 기반 가상 치료사는 24시간 연중무휴로 이용할 수 있습니다. 이러한 도구는 24시간 연중무휴로 이용 가능하며 즉각적인 지원을 제공합니다. 이러한 요인으로 인해 정신건강 분야에서 AI 기술에 대한 수요가 증가할 것으로 예상됩니다.

정신건강 분야 AI 시장에서는 수많은 스타트업의 출현이 눈에 띕니다. 수많은 스타트업의 급격한 증가는 시장 성장의 중요한 촉진제입니다. 이들의 시장 진입은 투자를 촉진하고, 기술 발전을 촉진하며, 의료 분야에서 AI의 적용 범위를 확대할 것입니다. 이러한 스타트업의 노력은 AI 헬스케어 시장에 활력을 불어넣고, 헬스케어 솔루션 제공의 혁신, 효율성, 효과성을 향상시키는 데 기여하고 있습니다. 스타트업으로는 Activa Health, Kahuna, Likeminded 등이 있습니다.

정신건강 분야 AI 시장 보고서 하이라이트

  • 2023년 세계 시장에서 소프트웨어 분야는 75.7%의 매출 점유율로 가장 큰 비중을 차지했으며, 2024년부터 2030년까지 가장 큰 CAGR로 성장할 것으로 예측됩니다. 이러한 높은 점유율은 AI 기술을 지원하는 정신건강 앱의 채택이 증가하고 있기 때문입니다.
  • 기술별로는 자연어 처리(NLP) 분야가 2023년 시장을 장악했습니다. 일부 정신 질환 애플리케이션에 대한 NLP 알고리즘의 발전은 아마도 시장에서 수요를 촉진할 것입니다. 기계 학습(ML)은 2024년부터 2030년까지 39.1%의 가장 빠른 CAGR로 성장할 것으로 예상됩니다.
  • 질병별로 보면 불안 질환 부문이 2023년 가장 큰 시장 점유율을 차지했습니다. 이는 인구 중 불안 질환의 유병률이 증가하고 있으며, 정신 질환을 위한 AI 기반 솔루션을 출시하는 신생 기업이 증가하고 있기 때문입니다. 반면, 조현병 부문은 2024년부터 2030년까지 큰 CAGR로 성장할 것으로 예상됩니다.
  • 북미는 2023년 55.0% 이상의 매출 점유율로 가장 큰 시장 점유율을 차지했습니다. 이는 정신 질환의 유병률 증가, 첨단 기술 채택 준비, 여러 주요 기업의 존재, 노인 인구 증가에 기인합니다. 유럽은 2024년부터 2030년까지 큰 성장을 보일 것으로 예상됩니다.

목차

제1장 조사 방법과 범위

제2장 주요 요약

제3장 정신건강 분야 AI 시장 변수, 동향, 범위

  • 시장 계통 전망
    • 상부 시장 전망
    • 관련/보조 시장 전망
  • 시장 역학
    • 시장 성장 촉진요인 분석
    • 시장 성장 억제요인 분석
    • 업계 과제와 기회 분석
  • 정신건강 시장 분석 툴의 AI
    • Porters 분석
    • PESTEL 분석
  • COVID-19의 영향
  • 사례 연구

제4장 정신건강 분야 AI 시장 : 제공 추정·동향 분석

  • 정의와 범위
  • 2023년과 2030년 시장 점유율 분석
  • 부문 대시보드
  • 정신건강 분야 AI 시장 : 제공별, 2018년에서 2030년
  • 소프트웨어
  • 서비스

제5장 정신건강 분야 AI 시장 : 기술 추정·동향 분석

  • 정의와 범위
  • 기술 시장 점유율 분석, 2023년 및 2030년
  • 부문 대시보드
  • 정신건강 분야 AI 시장 : 기술별, 2018년에서 2030년
  • 머신러닝(ML)
  • 자연어 처리(NLP)
  • 기타

제6장 정신건강 분야 AI 시장 : 질환 추정·동향 분석

  • 정의와 범위
  • 질환 시장 점유율 분석, 2023년 및 2030년
  • 부문 대시보드
  • 정신건강 분야 AI 시장 : 질환별, 2018년에서 2030년
  • 불안
  • 우울증
  • 정신분열증
  • 심리적 외상 후 스트레스 질환(PTSD)
  • 불면증
  • 기타

제7장 정신건강 분야 AI 시장 : 국가, 제공, 기술, 질환별 지역 추정·동향 분석

  • 정의와 범위
  • 지역별 시장 점유율 분석, 2023년 및 2030년
  • 지역 시장 대시보드
  • 지역 시장 현황
  • SWOT 분석
  • 정신건강 분야 AI 시장 점유율, 지역별, 2023년 및 2030년
  • 북미
  • 유럽
  • 아시아태평양
  • 라틴아메리카
  • 중동 및 아프리카

제8장 경쟁 상황

  • 주요 시장 진출 기업의 최근 동향과 영향 분석
  • 기업 분류
  • 기업 시장 상황 분석, 2023년
  • 전략 매핑
    • 확대
    • 인수합병
    • 파트너십과 협업
    • 신제품 발매
    • 연구개발
  • 기업 개요
    • Fortis Healthcare
    • Google
    • Microsoft
    • NextGen Healthcare
    • Wysa Ltd.
    • Woebot Health
    • Spring Care, Inc.
    • Lyra Health, Inc
    • Meru
    • New Life Solution, Inc.(meQ)
    • Quartet
    • Syra Health
    • Limbic
    • Quartet
    • Kintsugi Mindful Wellness, Inc
    • Aiberry
    • Ellipsis Health
    • SilverCloud(American Well Corporation)
    • HEADSPACE HEALTH
ksm 24.08.23

Artificial Intelligence In Mental Health Market & Trends

The global AI in mental health market size is expected to reach USD 5.08 billion by 2030, growing at a CAGR of 24.10% from 2024 to 2030, according to a new report by Grand View Research, Inc. Mental health has become a major concern nowadays; increasing prevalence of mental health disorders including anxiety, depression, schizophrenia lead to the rapid adoption of mental health apps, where technologies such as AI can leverage several advantages, including personalized therapies and predicting disorders. According to WHO January 2022 insights, Schizophrenia affects nearly 24 million people or 1 in 300 people (0.32%) worldwide. This rate is 1 in 222 people (0.45%) among adults.

According to February 2023 insights from WHO, in 2021, over 150 million individuals were grappling with mental health issues in Europe. The COVID-19 pandemic has intensified these problems over recent years, with reduced access to healthcare services. The surge in stress, economic downturns, conflicts, and violence has highlighted the fragility of mental well-being. Simultaneously, the field of artificial intelligence (AI) is revolutionizing medicine and healthcare. AI is emerging as a crucial tool in planning mental health services identifying and monitoring mental health conditions among individuals and communities. Utilizing digitized healthcare data, including electronic health records, medical imaging, and handwritten clinical notes, AI-powered tools enhance task automation, support healthcare professionals, and enrich our understanding of complex mental health disorders.

Technological advancements in AI algorithms such as speech and text analytics, therapeutic chatbot to detect signs of mental health conditions such as depression, anxiety, and PTSD. Applications like Woebot and Wysa use conversational AI to interact with users and provide real-time mental health support. Virtual therapists powered by AI provide cognitive behavioral therapy (CBT) and other therapeutic modalities through chat interfaces or voice conversations. These tools are available 24/7, offering immediate support. Such factors are expected to fuel the demand for AI technologies in mental health.

The emergence of numerous startups in the AI in mental health market has been notable. The proliferation of numerous startups is a significant driver of market growth. Their entry into the market stimulates investment, encourages technological advancements, and expands the scope of AI applications in healthcare. The collective efforts of these startups fuel momentum in the AI healthcare market, propelling it towards greater innovation, efficiency, and effectiveness in delivering healthcare solutions. Some of the startup companies are Activa Health, Kahuna, and Likeminded among others.

AI In Mental Health Market Report Highlights:

  • Based on offering, the software segment dominated the global market in 2023 with the largest revenue share of 75.7% and is expected to grow at the largest CAGR from 2024 TO 2030. This large share is attributed to the increasing adoption of mental health apps to support AI technologies.
  • Based on technology, the Natural Language Process (NLP) segment dominated the market in 2023. The advancement in the NLP algorithm for several mental disorder applications would likely drive its demand in the market. Machine Learning (ML) is expected to grow at the fastest CAGR of 39.1% from 2024 to 2030.
  • Based on the disorder, the anxiety disorder segment held the largest market share in 2023. This can be attributed to the growing prevalence of anxiety disorders among the population and the increasing number of startups launching AI-powered solutions for mental disorders. On the other hand, the schizophrenia segment is expected to grow at a significant CAGR from 2024 to 2030.
  • North America dominated the market and accounted for the largest revenue share of over 55.0% in 2023, owing to the rising prevalence of mental disorders, readiness to adopt advanced technologies, presence of several key players, and growing geriatric population. Europe is anticipated to witness significant growth from 2024 to 2030.

Table of Contents

Chapter 1. Methodology and Scope

  • 1.1. Market Segmentation and Scope
  • 1.2. Market Definitions
  • 1.3. Research Methodology
  • 1.4. Information Procurement
    • 1.4.1. Purchased Database
    • 1.4.2. GVR's Internal Database
  • 1.5. Details of primary research
  • 1.6. Market Formulation & Validation
  • 1.7. Model Details
    • 1.7.1. Commodity flow analysis (Model 1)
      • 1.7.1.1. Approach 1: Commodity flow approach
    • 1.7.2. Volume price analysis (Model 2)
      • 1.7.2.1. Approach 2: Volume price analysis
  • 1.8. Research Scope and Assumptions
    • 1.8.1. List of Secondary Sources
    • 1.8.2. List of Primary Sources
    • 1.8.3. Objectives

Chapter 2. Executive Summary

  • 2.1. Market Outlook
  • 2.2. Segment Outlook
    • 2.2.1. Offering Outlook
    • 2.2.2. Technology Outlook
    • 2.2.3. Disorder Outlook
  • 2.3. Competitive Insights

Chapter 3. AI 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 Drivers Analysis
      • 3.2.1.1. Growing Prevalence of Mental Disorder
      • 3.2.1.2. Increasing Penetration of Smartphone/Internet
      • 3.2.1.3. Technological advancements
      • 3.2.1.4. Increasing awareness about the mental disorders
    • 3.2.2. Market Restraints Analysis
      • 3.2.2.1. Data Privacy and Security
      • 3.2.2.2. Accuracy and Reliability of AI Technologies
    • 3.2.3. Industry Challenges and Opportunity Analysis
  • 3.3. AI in Mental Health Market Analysis Tools
    • 3.3.1. Porter's Analysis
      • 3.3.1.1. Bargaining power of the suppliers
      • 3.3.1.2. Bargaining power of the buyers
      • 3.3.1.3. Threats of substitution
      • 3.3.1.4. Threats from new entrants
      • 3.3.1.5. Competitive rivalry
    • 3.3.2. PESTEL Analysis
      • 3.3.2.1. Political landscape
      • 3.3.2.2. Economic and Social landscape
      • 3.3.2.3. Technological landscape
      • 3.3.2.4. Environmental landscape
      • 3.3.2.5. Legal landscape
  • 3.4. Impact of COVID-19
  • 3.5. Case Studies

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

  • 4.1. Definition and Scope
  • 4.2. Offering Market Share Analysis, 2023 & 2030
  • 4.3. Segment Dashboard
  • 4.4. AI in Mental Health Market: By Offering, 2018 to 2030
  • 4.5. Software
    • 4.5.1. Market Revenue Estimates and Forecasts, 2018 - 2030
  • 4.6. Services
    • 4.6.1. Market Revenue Estimates and Forecasts, 2018 - 2030

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

  • 5.1. Definition and Scope
  • 5.2. Technology Market Share Analysis, 2023 & 2030
  • 5.3. Segment Dashboard
  • 5.4. AI in Mental Health Market: By Technology, 2018 to 2030
  • 5.5. Machine Learning (ML)
    • 5.5.1. Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Billion)
      • 5.5.1.1. Deep Learning
      • 5.5.1.1.1. Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Billion)
      • 5.5.1.2. Others
      • 5.5.1.2.1. Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Billion)
  • 5.6. Natural Language Processing (NLP)
    • 5.6.1. Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Billion)
      • 5.6.1.1. Text Analytics
      • 5.6.1.1.1. Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Billion)
      • 5.6.1.2. Speech Analytics
      • 5.6.1.2.1. Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Billion)
      • 5.6.1.3. Smart Assistance
      • 5.6.1.3.1. Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Billion)
      • 5.6.1.4. Others
      • 5.6.1.4.1. Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Billion)
  • 5.7. Others
    • 5.7.1. Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Billion)

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

  • 6.1. Definition and Scope
  • 6.2. Disorder Market Share Analysis, 2023 & 2030
  • 6.3. Segment Dashboard
  • 6.4. AI in Mental Health Market: By Disorder, 2018 to 2030
  • 6.5. Anxiety
    • 6.5.1. Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Billion)
  • 6.6. Depression
    • 6.6.1. Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Billion)
  • 6.7. Schizophrenia
    • 6.7.1. Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Billion
  • 6.8. Post-Traumatic Stress Disorder (PTSD)
    • 6.8.1. Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Billion
  • 6.9. Insomnia
    • 6.9.1. Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Billion
  • 6.10. Others
    • 6.10.1. Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Billion

Chapter 7. AI in Mental Health Market: Regional Estimates & Trend Analysis by Country, Offering, Technology, Disorder

  • 7.1. Definition and Scope
  • 7.2. Regional Market Share Analysis, 2023 & 2030
  • 7.3. Regional Market Dashboard
  • 7.4. Regional Market Snapshot
  • 7.5. SWOT Analysis
    • 7.5.1. North America
    • 7.5.2. Europe
    • 7.5.3. Asia Pacific
    • 7.5.4. Latin America
    • 7.5.5. Middle East & Africa
  • 7.6. AI in Mental Health Market Share, By Region, 2023 & 2030, USD Million
  • 7.7. North America
    • 7.7.1. North America AI in Mental Health Market Estimates and Forecasts, 2018 - 2030 (USD Million)
    • 7.7.2. U.S.
      • 7.7.2.1. Key Country Dynamics
      • 7.7.2.2. Regulatory Landscape/Reimbursement Scenario
      • 7.7.2.3. Competitive Insights
      • 7.7.2.4. U.S. AI in Mental Health Market Estimates and Forecasts, 2018 - 2030 (USD Million)
    • 7.7.3. Canada
      • 7.7.3.1. Key Country Dynamics
      • 7.7.3.2. Regulatory Landscape/Reimbursement Scenario
      • 7.7.3.3. Competitive Insights
      • 7.7.3.4. Canada AI in Mental Health Market Estimates and Forecasts, 2018 - 2030 (USD Million)
    • 7.7.4. Mexico
      • 7.7.4.1. Key Country Dynamics
      • 7.7.4.2. Regulatory Landscape/Reimbursement Scenario
      • 7.7.4.3. Competitive Insights
      • 7.7.4.4. Mexico AI in Mental Health Market Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 7.8. Europe
    • 7.8.1. Europe AI in Mental Health Market Estimates and Forecasts, 2018 - 2030 (USD Million)
    • 7.8.2. UK
      • 7.8.2.1. Key Country Dynamics
      • 7.8.2.2. Regulatory Landscape/Reimbursement Scenario
      • 7.8.2.3. Competitive Insights
      • 7.8.2.4. U.K. AI in Mental Health Market Estimates and Forecasts, 2018 - 2030 (USD Million)
    • 7.8.3. Germany
      • 7.8.3.1. Key Country Dynamics
      • 7.8.3.2. Regulatory Landscape/Reimbursement Scenario
      • 7.8.3.3. Competitive Insights
      • 7.8.3.4. Germany AI in Mental Health Market Estimates and Forecasts, 2018 - 2030 (USD Million)
    • 7.8.4. France
      • 7.8.4.1. Key Country Dynamics
      • 7.8.4.2. Regulatory Landscape/Reimbursement Scenario
      • 7.8.4.3. Competitive Insights
      • 7.8.4.4. France AI in Mental Health Market Estimates and Forecasts, 2018 - 2030 (USD Million)
    • 7.8.5. Italy
      • 7.8.5.1. Key Country Dynamics
      • 7.8.5.2. Regulatory Landscape/Reimbursement Scenario
      • 7.8.5.3. Competitive Insights
      • 7.8.5.4. Italy AI in Mental Health Market Estimates and Forecasts, 2018 - 2030 (USD Million)
    • 7.8.6. Spain
      • 7.8.6.1. Key Country Dynamics
      • 7.8.6.2. Regulatory Landscape/Reimbursement Scenario
      • 7.8.6.3. Competitive Insights
      • 7.8.6.4. Spain AI in Mental Health Market Estimates and Forecasts, 2018 - 2030 (USD Million)
    • 7.8.7. Sweden
      • 7.8.7.1. Key Country Dynamics
      • 7.8.7.2. Regulatory Landscape/Reimbursement Scenario
      • 7.8.7.3. Competitive Insights
      • 7.8.7.4. Sweden AI in Mental Health Market Estimates and Forecasts, 2018 - 2030 (USD Million)
    • 7.8.8. Denmark
      • 7.8.8.1. Key Country Dynamics
      • 7.8.8.2. Regulatory Landscape/Reimbursement Scenario
      • 7.8.8.3. Competitive Insights
      • 7.8.8.4. Denmark AI in Mental Health Market Estimates and Forecasts, 2018 - 2030 (USD Million)
    • 7.8.9. Norway
      • 7.8.9.1. Key Country Dynamics
      • 7.8.9.2. Regulatory Landscape/Reimbursement Scenario
      • 7.8.9.3. Competitive Insights
      • 7.8.9.4. Norway AI in Mental Health Market Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 7.9. Asia Pacific
    • 7.9.1. Asia Pacific AI in Mental Health Market Estimates and Forecasts, 2018 - 2030 (USD Million)
    • 7.9.2. Japan
      • 7.9.2.1. Key Country Dynamics
      • 7.9.2.2. Regulatory Landscape/Reimbursement Scenario
      • 7.9.2.3. Competitive Insights
      • 7.9.2.4. Japan AI in Mental Health Market Estimates and Forecasts, 2018 - 2030 (USD Million)
    • 7.9.3. China
      • 7.9.3.1. Key Country Dynamics
      • 7.9.3.2. Regulatory Landscape/Reimbursement Scenario
      • 7.9.3.3. Competitive Insights
      • 7.9.3.4. China AI in Mental Health Market Estimates and Forecasts, 2018 - 2030 (USD Million)
    • 7.9.4. India
      • 7.9.4.1. Key Country Dynamics
      • 7.9.4.2. Regulatory Landscape/Reimbursement Scenario
      • 7.9.4.3. Competitive Insights
      • 7.9.4.4. India AI in Mental Health Market Estimates and Forecasts, 2018 - 2030 (USD Million)
    • 7.9.5. Australia
      • 7.9.5.1. Key Country Dynamics
      • 7.9.5.2. Regulatory Landscape/Reimbursement Scenario
      • 7.9.5.3. Competitive Insights
      • 7.9.5.4. Australia AI in Mental Health Market Estimates and Forecasts, 2018 - 2030 (USD Million)
    • 7.9.6. South Korea
      • 7.9.6.1. Key Country Dynamics
      • 7.9.6.2. Regulatory Landscape/Reimbursement Scenario
      • 7.9.6.3. Competitive Insights
      • 7.9.6.4. South Korea AI in Mental Health Market Estimates and Forecasts, 2018 - 2030 (USD Million)
    • 7.9.7. Thailand
      • 7.9.7.1. Key Country Dynamics
      • 7.9.7.2. Regulatory Landscape/Reimbursement Scenario
      • 7.9.7.3. Competitive Insights
      • 7.9.7.4. Thailand AI in Mental Health Market Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 7.10. Latin America
    • 7.10.1. Latin America AI in Mental Health Market Estimates and Forecasts, 2018 - 2030 (USD Million)
    • 7.10.2. Brazil
      • 7.10.2.1. Key Country Dynamics
      • 7.10.2.2. Regulatory Landscape/Reimbursement Scenario
      • 7.10.2.3. Competitive Insights
      • 7.10.2.4. Brazil AI in Mental Health Market Estimates and Forecasts, 2018 - 2030 (USD Million)
    • 7.10.3. Argentina
      • 7.10.3.1. Key Country Dynamics
      • 7.10.3.2. Regulatory Landscape/Reimbursement Scenario
      • 7.10.3.3. Competitive Insights
      • 7.10.3.4. Argentina AI in Mental Health Market Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 7.11. Middle East and Africa
    • 7.11.1. Middle East and Africa AI in Mental Health Market Estimates and Forecasts, 2018 - 2030 (USD Million)
    • 7.11.2. South Africa
      • 7.11.2.1. Key Country Dynamics
      • 7.11.2.2. Regulatory Landscape/Reimbursement Scenario
      • 7.11.2.3. Competitive Insights
      • 7.11.2.4. South Africa AI in Mental Health Market Estimates and Forecasts, 2018 - 2030 (USD Million)
    • 7.11.3. Saudi Arabia
      • 7.11.3.1. Key Country Dynamics
      • 7.11.3.2. Regulatory Landscape/Reimbursement Scenario
      • 7.11.3.3. Competitive Insights
      • 7.11.3.4. Saudi Arabia AI in Mental Health Market Estimates and Forecasts, 2018 - 2030 (USD Million)
    • 7.11.4. UAE
      • 7.11.4.1. Key Country Dynamics
      • 7.11.4.2. Regulatory Landscape/Reimbursement Scenario
      • 7.11.4.3. Competitive Insights
      • 7.11.4.4. UAE AI in Mental Health Market Estimates and Forecasts, 2018 - 2030 (USD Million)
    • 7.11.5. Kuwait
      • 7.11.5.1. Key Country Dynamics
      • 7.11.5.2. Regulatory Landscape/Reimbursement Scenario
      • 7.11.5.3. Competitive Insights
      • 7.11.5.4. Kuwait AI in Mental Health Market Estimates and Forecasts, 2018 - 2030 (USD Million)

Chapter 8. Competitive Landscape

  • 8.1. Recent Developments & Impact Analysis by Key Market Participants
  • 8.2. Company Categorization
  • 8.3. Company Market Position Analysis, 2023
  • 8.4. Strategy Mapping
    • 8.4.1. Expansion
    • 8.4.2. Mergers & Acquisition
    • 8.4.3. Partnerships & Collaborations
    • 8.4.4. New Product Launches
    • 8.4.5. Research And Development
  • 8.5. Company Profiles
    • 8.5.1. Fortis Healthcare
      • 8.5.1.1. Company Overview
      • 8.5.1.2. Financial Performance
      • 8.5.1.3. Product Benchmarking
      • 8.5.1.4. Strategic initiatives
    • 8.5.2. Google
      • 8.5.2.1. Company Overview
      • 8.5.2.2. Financial Performance
      • 8.5.2.3. Product Benchmarking
      • 8.5.2.4. Strategic initiatives
    • 8.5.3. Microsoft
      • 8.5.3.1. Company Overview
      • 8.5.3.2. Financial Performance
      • 8.5.3.3. Product Benchmarking
      • 8.5.3.4. Strategic initiatives
    • 8.5.4. NextGen Healthcare
      • 8.5.4.1. Company Overview
      • 8.5.4.2. Financial Performance
      • 8.5.4.3. Product Benchmarking
      • 8.5.4.4. Strategic initiatives
    • 8.5.5. Wysa Ltd.
      • 8.5.5.1. Company Overview
      • 8.5.5.2. Financial Performance
      • 8.5.5.3. Product Benchmarking
      • 8.5.5.4. Strategic initiatives
    • 8.5.6. Woebot Health
      • 8.5.6.1. Company Overview
      • 8.5.6.2. Financial Performance
      • 8.5.6.3. Product Benchmarking
      • 8.5.6.4. Strategic initiatives
    • 8.5.7. Spring Care, Inc.
      • 8.5.7.1. Company Overview
      • 8.5.7.2. Financial Performance
      • 8.5.7.3. Product Benchmarking
      • 8.5.7.4. Strategic initiatives
    • 8.5.8. Lyra Health, Inc
      • 8.5.8.1. Company Overview
      • 8.5.8.2. Financial Performance
      • 8.5.8.3. Product Benchmarking
      • 8.5.8.4. Strategic initiatives
    • 8.5.9. Meru
      • 8.5.9.1. Company Overview
      • 8.5.9.2. Financial Performance
      • 8.5.9.3. Product Benchmarking
      • 8.5.9.4. Strategic initiatives
    • 8.5.10. New Life Solution, Inc. (meQ)
      • 8.5.10.1. Company Overview
      • 8.5.10.2. Financial Performance
      • 8.5.10.3. Product Benchmarking
      • 8.5.10.4. Strategic initiatives
    • 8.5.11. Quartet
      • 8.5.11.1. Company Overview
      • 8.5.11.2. Financial Performance
      • 8.5.11.3. Product Benchmarking
      • 8.5.11.4. Strategic initiatives
    • 8.5.12. Syra Health
      • 8.5.12.1. Company Overview
      • 8.5.12.2. Financial Performance
      • 8.5.12.3. Product Benchmarking
      • 8.5.12.4. Strategic initiatives
    • 8.5.13. Limbic
      • 8.5.13.1. Company Overview
      • 8.5.13.2. Financial Performance
      • 8.5.13.3. Product Benchmarking
      • 8.5.13.4. Strategic initiatives
    • 8.5.14. Quartet
      • 8.5.14.1. Company Overview
      • 8.5.14.2. Financial Performance
      • 8.5.14.3. Product Benchmarking
      • 8.5.14.4. Strategic initiatives
    • 8.5.15. Kintsugi Mindful Wellness, Inc
      • 8.5.15.1. Company Overview
      • 8.5.15.2. Financial Performance
      • 8.5.15.3. Product Benchmarking
      • 8.5.15.4. Strategic initiatives
    • 8.5.16. Aiberry
      • 8.5.16.1. Company Overview
      • 8.5.16.2. Financial Performance
      • 8.5.16.3. Product Benchmarking
      • 8.5.16.4. Strategic initiatives
    • 8.5.17. Ellipsis Health
      • 8.5.17.1. Company Overview
      • 8.5.17.2. Financial Performance
      • 8.5.17.3. Product Benchmarking
      • 8.5.17.4. Strategic initiatives
    • 8.5.18. SilverCloud (American Well Corporation)
      • 8.5.18.1. Company Overview
      • 8.5.18.2. Financial Performance
      • 8.5.18.3. Product Benchmarking
      • 8.5.18.4. Strategic initiatives
    • 8.5.19. HEADSPACE HEALTH
      • 8.5.19.1. Company Overview
      • 8.5.19.2. Financial Performance
      • 8.5.19.3. Product Benchmarking
      • 8.5.19.4. Strategic initiatives
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