查看購物車
  • Simplified Chinese
  • English
  • Japanese
  • Korean
封面
市場調查報告書
商品編碼
1797927

2032 年心理健康市場人工智慧預測：按組件、疾病、技術、應用、最終用戶和地區進行全球分析

AI In Mental Health Market Forecasts to 2032 - Global Analysis By Component (Solutions, Services), Disorder (Anxiety, Depression, Schizophrenia and Other Disorders), Technology, Application, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 200+ Pages | 商品交期: 2-3個工作天內

價格

根據 Stratistics MRC 的數據，全球心理健康人工智慧市場規模預計在 2025 年達到 17 億美元，到 2032 年將達到 91 億美元，預測期內的複合年成長率為 26.1%。

心理健康領域的人工智慧 (AI) 是指應用 AI 技術來改善心理疾病的診斷、治療和管理。透過評估語音、文字、行為模式和生物特徵數據，AI 系統可以識別心理健康問題的早期指標，客製化治療方案並即時追蹤患者病情進展。其應用範例包括用於情緒支持的虛擬助理、用於認知行為療法的聊天機器人以及用於自殺預防的預測分析。 AI 能夠實現數據驅動、可擴展且便利的心理健康護理，尤其是在弱勢群體中。隱私、偏見和臨床檢驗的倫理考量對於負責任地將其納入醫療保健系統仍然至關重要。

根據世界衛生組織（WHO）的報告，2019年全球約有9.7億人患有精神障礙。

精神健康障礙盛行率上升

精神健康障礙盛行率的上升顯著推動了人工智慧市場在精神健康領域的成長。隨著焦慮、憂鬱症和創傷後壓力症候群等疾病在各個年齡層和地理區域的傳播日益普遍，對及時、準確且可擴展的診斷和治療工具的需求也日益成長。人工智慧平台提供早期檢測、遠端監控和個人化治療方案，使精神保健服務更加便捷有效率。這種日益成長的盛行率將刺激創新和應用，塑造數位化精神健康的變革性未來。

系統調試和維護的複雜性

系統調試和維護的複雜性對心理健康領域的人工智慧市場構成了重大挑戰。這些複雜的系統需要專業知識來排除故障，這會增加營運成本並減緩部署速度。頻繁的系統錯誤和故障會擾亂患者護理，並削弱臨床醫生和消費者之間的信任。因此，市場採用率較低，醫療服務提供者也猶豫不決，最終阻礙了人工智慧主導解決方案的成長和擴充性。

NLP 與機器學習的進步

自然語言處理 (NLP) 和機器學習 (ML) 的進步，正成為心理健康領域人工智慧市場成長的強大催化劑。這些技術使人工智慧系統能夠更好地理解、解讀和回應人類的情緒、言語模式和行為線索，並提升其細微差別和精準度。這增強了心理健康狀況的早期發現、持續監測和個人化治療。因此，人工智慧工具正變得更加富有同理心、反應迅速且值得信賴，從而促進了其在整個心理健康體系中的廣泛應用。

人工智慧演算法的臨床檢驗有限

人工智慧演算法臨床檢驗有限，嚴重阻礙了其在心理健康領域的可靠性、應用和擴充性。由於缺乏嚴格的檢驗，醫療專業人士仍然對人工智慧工具持懷疑態度，擔心其準確性和誤診。這阻礙了其與臨床工作流程的整合，並延遲了監管部門的核准。缺乏真實世界證據進一步阻礙了投資和夥伴關係，最終阻礙了創新，並阻止這些技術惠及那些最能從及時的心理健康干預中獲益的患者。

COVID-19的影響

新冠疫情顯著加速了心理健康領域人工智慧市場的成長。由於隔離、焦慮和經濟壓力導致的心理健康問題日益增多，對便利且可擴展的心理健康解決方案的需求也隨之飆升。人工智慧平台提供了遠端諮詢、情緒變化監測和早期診斷工具，幫助填補了封鎖期間的醫療資源缺口。在這樣的危機時期，人工智慧的應用凸顯了其在改變全球心理健康服務模式方面的關鍵作用。

機器學習 (ML) 領域預計將成為預測期內最大的領域

機器學習 (ML) 領域預計將在預測期內佔據最大市場佔有率，因為機器學習能夠更早、更準確地檢測憂鬱症、焦慮症和創傷後壓力症候群 (PTSD) 等心理健康狀況。這些智慧系統可以提供個人化治療建議，即時監測行為模式，並為臨床醫生提供診斷和治療方案。這項技術創新不僅提高了醫療服務的可近性，還透過提供私密的、技術支援的解決方案減少了污名化，從而穩步推動市場成長。

預計臨床研究領域在預測期內的複合年成長率最高

預計臨床研究領域將在預測期內實現最高成長率，這得益於強大的資料集和現實世界洞察，這些洞察提升了演算法的準確性和可靠性。臨床試驗和縱向研究正在推動人工智慧驅動的預測模型的開發，用於早期檢測、個人化治療和風險評估。這種以證據為基礎的基礎能夠建立對醫療保健提供者的信任，加快監管核准，並促進更廣泛的應用。隨著臨床檢驗的加強，心理健康領域的人工智慧解決方案將變得更加有效和符合倫理道德，從而在整個醫療保健系統中獲得更廣泛的認可。

比最大的地區

由於人們意識的提升、心理健康障礙數量的增加以及智慧型手機普及率的提高，預計亞太地區將在預測期內佔據最大的市場佔有率。人工智慧工具可實現早期診斷、即時監測和個人化治療，從而彌合偏遠和服務欠缺地區的治療缺口。各國政府和醫療機構正在投資數位心理健康平台，科技新興企業也在快速創新。這種勢頭正在徹底改變醫療服務，並減少圍繞心理健康的社會污名。

複合年成長率最高的地區

預計北美在預測期內將呈現最高的複合年成長率，這得益於技術進步、強大的醫療基礎設施以及日益增強的心理健康意識。該地區率先採用了人工智慧診斷工具、聊天機器人和虛擬治療師，從而實現了及時干預和個人化治療，徹底改變了患者照護。政府的支持和對數位健康解決方案的持續投資將進一步促進這一進程。隨著對便利心理健康服務的需求日益成長，人工智慧正在彌合醫療服務提供的差距，尤其是在服務不足和偏遠社區。

免費客製化服務

訂閱此報告的客戶可享有以下免費自訂選項之一：

  • 公司簡介
    • 全面分析其他市場參與者（最多 3 家公司）
    • 主要企業的SWOT分析（最多3家公司）
  • 區域細分
    • 根據客戶興趣對主要國家進行的市場估計、預測和複合年成長率（註：基於可行性檢查）
  • 競爭基準化分析
    • 根據產品系列、地理分佈和策略聯盟對主要企業基準化分析

目錄

第1章執行摘要

第2章 前言

  • 概述
  • 相關利益者
  • 調查範圍
  • 調查方法
    • 資料探勘
    • 數據分析
    • 數據檢驗
    • 研究途徑
  • 研究材料
    • 主要研究資料
    • 二手研究資訊來源
    • 先決條件

第3章市場走勢分析

  • 驅動程式
  • 抑制因素
  • 機會
  • 威脅
  • 技術分析
  • 應用分析
  • 最終用戶分析
  • 新興市場
  • COVID-19的影響

第4章 波特五力分析

  • 供應商的議價能力
  • 買方的議價能力
  • 替代品的威脅
  • 新進入者的威脅
  • 競爭對手之間的競爭

5. 全球心理健康人工智慧市場（按組成部分）

  • 解決方案
  • 服務

6. 全球精神健康領域人工智慧市場（按疾病）

  • 焦慮
  • 憂鬱症
  • 思覺失調症
  • 創傷後壓力症候群（PTSD）
  • 失眠
  • 其他

7. 全球心理健康人工智慧市場（按技術）

  • 機器學習（ML）
  • 電腦視覺
  • 自然語言處理（NLP）
  • 其他

8. 全球心理健康人工智慧市場（按應用）

  • 臨床研究
  • 風險評估與監測
  • 病患管理
  • 藥物發現與開發
  • 診斷支持
  • 虛擬治療師聊天機器人
  • 其他

9. 全球心理健康人工智慧市場（按最終用戶）

  • 醫院和診所
  • 心理健康中心
  • 研究和學術機構
  • 製藥和生物技術公司
  • 其他

10. 全球心理健康人工智慧市場（按地區）

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 義大利
    • 法國
    • 西班牙
    • 其他歐洲國家
  • 亞太地區
    • 日本
    • 中國
    • 印度
    • 澳洲
    • 紐西蘭
    • 韓國
    • 其他亞太地區
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地區
  • 中東和非洲
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 卡達
    • 南非
    • 其他中東和非洲地區

第11章 重大進展

  • 協議、夥伴關係、合作和合資企業
  • 收購與合併
  • 新產品發布
  • 業務擴展
  • 其他關鍵策略

第12章：企業概況

  • Woebot Health
  • Quartet Health
  • Talkspace
  • Wysa
  • Spring Health
  • Ada Health
  • Lyra Health
  • 7 Cups
  • Mindstrong Health
  • Limbix
  • Youper
  • Happify Health
  • Cognoa
  • Big Health
  • Eleos Health
  • Meru Health
  • Modern Health
  • Kintsugi
  • Cerebral
Product Code: SMRC30297

According to Stratistics MRC, the Global AI In Mental Health Market is accounted for $1.7 billion in 2025 and is expected to reach $9.1 billion by 2032 growing at a CAGR of 26.1% during the forecast period. Artificial intelligence (AI) in mental health refers to the application of AI technology to improve psychological condition diagnosis, treatment, and management. Artificial intelligence (AI) systems can identify early indicators of mental problems, customize therapy, and track patient progress in real time by evaluating voice, text, behavior patterns, and biometric data. Applications include virtual assistants for emotional support, chatbots for cognitive behavioral therapy, and predictive analytics for preventing suicide. Particularly in underprivileged areas, AI makes data-driven, scalable, and accessible mental health care possible. While promising, ethical concerns around privacy, bias, and clinical validation remain critical to its responsible integration into healthcare systems.

According to World Health Organization (WHO) report, approximately 970 million people worldwide were living with a mental disorder in 2019.

Market Dynamics:

Driver:

Rising Prevalence of Mental Health Disorders

The rising prevalence of mental health disorders is significantly driving growth in the AI in Mental Health Market. As conditions like anxiety, depression, and PTSD become more widespread across age groups and geographies, there is growing demand for timely, accurate, and scalable diagnostic and therapeutic tools. AI-powered platforms offer early detection, remote monitoring, and personalized treatment plans, making mental health care more accessible and efficient. This rising burden fuels innovation and adoption, shaping a transformative future for digital mental health.

Restraint:

Complexity of system debugging & maintenance

The complexity of system debugging and maintenance poses a significant challenge to the AI in Mental Health market. These intricate systems require specialized expertise for troubleshooting, which escalates operational costs and delays deployment. Frequent system errors or failures can disrupt patient care and erode trust among clinicians and users. As a result, the market experiences slower adoption rates and hesitancy from healthcare providers, ultimately hindering the growth and scalability of AI-driven solutions.

Opportunity:

Advancements in NLP and Machine Learning

Advancements in Natural Language Processing (NLP) and Machine Learning (ML) are acting as a powerful catalyst in the growth of the AI in Mental Health Market. These technologies enable AI systems to better understand, interpret, and respond to human emotions, speech patterns, and behavioral cues with greater nuance and accuracy. This enhances early detection, continuous monitoring, and personalized treatment of mental health conditions. As a result, AI tools are becoming more empathetic, responsive, and reliable, driving widespread adoption across mental health care systems.

Threat:

Limited Clinical Validation of AI Algorithms

Limited clinical validation of AI algorithms significantly hampers trust, adoption, and scalability in the AI in Mental Health Market. Without rigorous validation, healthcare professionals remain skeptical of AI tools, fearing inaccuracies and misdiagnosis. This undermines integration into clinical workflows and stalls regulatory approvals. The lack of real-world evidence further deters investments and partnerships, ultimately slowing innovation and preventing these technologies from reaching patients who could benefit most from timely mental health interventions.

Covid-19 Impact

The Covid-19 pandemic significantly accelerated the growth of the AI in Mental Health Market. With increased mental health issues arising from isolation, anxiety, and economic stress, there was a surge in demand for accessible, scalable mental health solutions. AI-powered platforms offered remote counseling, mood tracking, and early diagnosis tools, helping bridge care gaps during lockdowns. This crisis-driven adoption highlighted AI's critical role in transforming mental healthcare delivery globally.

The machine learning (ML) segment is expected to be the largest during the forecast period

The machine learning (ML) segment is expected to account for the largest market share during the forecast period because ML enables early detection of mental health conditions such as depression, anxiety, and PTSD with higher accuracy. These intelligent systems can personalize therapy recommendations, monitor behavioral patterns in real time, and support clinicians in diagnosis and treatment planning. This innovation not only enhances accessibility to care but also reduces stigma by offering private, tech-enabled solutions, propelling market growth steadily forward.

The clinical research segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the clinical research segment is predicted to witness the highest growth rate, due to robust data sets and real-world insights that enhance algorithm accuracy and reliability. Clinical trials and longitudinal studies fuel the development of AI-driven predictive models for early detection, personalized treatment, and risk assessment. This evidence-based foundation builds trust among healthcare providers and accelerates regulatory approvals, driving broader adoption. As clinical validation strengthens, AI solutions in mental health become more effective, ethical, and widely accepted across healthcare systems.

Region with largest share:

During the forecast period, the Asia Pacific region is expected to hold the largest market share due to rising awareness, increasing mental health disorders, and growing smartphone penetration. AI-powered tools are enabling early diagnosis, real-time monitoring, and personalized therapy, bridging the treatment gap in remote and underserved areas. Governments and healthcare providers are investing in digital mental health platforms, while tech start-ups are innovating rapidly. This momentum is revolutionizing care delivery and reducing the social stigma surrounding mental health.

Region with highest CAGR:

Over the forecast period, the North America region is anticipated to exhibit the highest CAGR, owing to technological advancements, strong healthcare infrastructure, and rising mental health awareness. The region's early adoption of AI-powered diagnostic tools, chatbots, and virtual therapists is transforming patient care by enabling timely intervention and personalized treatment. Government support and increased investments in digital health solutions further amplify progress. With a growing demand for accessible mental health services, AI is bridging gaps in care delivery, especially in underserved and remote communities.

Key players in the market

Some of the key players profiled in the AI In Mental Health Market include Woebot Health, Quartet Health, Talkspace, Wysa, Spring Health, Ada Health, Lyra Health, 7 Cups, Mindstrong Health, Limbix, Youper, Happify Health, Cognoa, Big Health, Eleos Health, Meru Health, Modern Health, Kintsugi and Cerebral.

Key Developments:

In August 2025, Cerebral, a virtual mental health provider, acquired Resilience Lab to scale its outcomes-focused care model and clinician development platform. The move integrates psychiatry and therapy into a single digital pathway, aiming to improve care consistency and workforce sustainability.

In January 2025, Eleos Health secured $60M in Series C funding to expand its AI-powered behavioral health platform. Coinciding with the funding, it launched Eleos Compliance, a clinical documentation improvement tool that uses agentic AI to flag errors and streamline accreditation.

In June 2024, Ada Health expanded its leadership team and announced new partnerships with healthcare systems and life sciences companies. It also launched Care Journeys, an AI-powered solution guiding high-risk patients to telehealth consultations, available across all 50 U.S. states.

Components Covered:

  • Solutions
  • Services

Disorders Covered:

  • Anxiety
  • Depression
  • Schizophrenia
  • Post-Traumatic Stress Disorder (PTSD)
  • Insomnia
  • Other Disorders

Technologies Covered:

  • Machine Learning (ML)
  • Computer Vision
  • Natural Language Processing (NLP)
  • Other Technologies

Applications Covered:

  • Clinical Research
  • Risk Assessment & Monitoring
  • Patient Management
  • Drug Discovery & Development
  • Diagnostic Assistance
  • Virtual Therapists & Chatbots
  • Other Applications

End Users Covered:

  • Hospitals & Clinics
  • Mental Health Centers
  • Research & Academic Institutions
  • Pharmaceutical & Biotechnology Companies
  • Other End Users

Regions Covered:

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • Italy
    • France
    • Spain
    • Rest of Europe
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia
    • New Zealand
    • South Korea
    • Rest of Asia Pacific
  • South America
    • Argentina
    • Brazil
    • Chile
    • Rest of South America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Qatar
    • South Africa
    • Rest of Middle East & Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2024, 2025, 2026, 2028, and 2032
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface

  • 2.1 Abstract
  • 2.2 Stake Holders
  • 2.3 Research Scope
  • 2.4 Research Methodology
    • 2.4.1 Data Mining
    • 2.4.2 Data Analysis
    • 2.4.3 Data Validation
    • 2.4.4 Research Approach
  • 2.5 Research Sources
    • 2.5.1 Primary Research Sources
    • 2.5.2 Secondary Research Sources
    • 2.5.3 Assumptions

3 Market Trend Analysis

  • 3.1 Introduction
  • 3.2 Drivers
  • 3.3 Restraints
  • 3.4 Opportunities
  • 3.5 Threats
  • 3.6 Technology Analysis
  • 3.7 Application Analysis
  • 3.8 End User Analysis
  • 3.9 Emerging Markets
  • 3.10 Impact of Covid-19

4 Porters Five Force Analysis

  • 4.1 Bargaining power of suppliers
  • 4.2 Bargaining power of buyers
  • 4.3 Threat of substitutes
  • 4.4 Threat of new entrants
  • 4.5 Competitive rivalry

5 Global AI In Mental Health Market, By Component

  • 5.1 Introduction
  • 5.2 Solutions
  • 5.3 Services

6 Global AI In Mental Health Market, By Disorder

  • 6.1 Introduction
  • 6.2 Anxiety
  • 6.3 Depression
  • 6.4 Schizophrenia
  • 6.5 Post-Traumatic Stress Disorder (PTSD)
  • 6.6 Insomnia
  • 6.7 Other Disorders

7 Global AI In Mental Health Market, By Technology

  • 7.1 Introduction
  • 7.2 Machine Learning (ML)
  • 7.3 Computer Vision
  • 7.4 Natural Language Processing (NLP)
  • 7.5 Other Technologies

8 Global AI In Mental Health Market, By Application

  • 8.1 Introduction
  • 8.2 Clinical Research
  • 8.3 Risk Assessment & Monitoring
  • 8.4 Patient Management
  • 8.5 Drug Discovery & Development
  • 8.6 Diagnostic Assistance
  • 8.7 Virtual Therapists & Chatbots
  • 8.8 Other Applications

9 Global AI In Mental Health Market, By End User

  • 9.1 Introduction
  • 9.2 Hospitals & Clinics
  • 9.3 Mental Health Centers
  • 9.4 Research & Academic Institutions
  • 9.5 Pharmaceutical & Biotechnology Companies
  • 9.6 Other End Users

10 Global AI In Mental Health Market, By Geography

  • 10.1 Introduction
  • 10.2 North America
    • 10.2.1 US
    • 10.2.2 Canada
    • 10.2.3 Mexico
  • 10.3 Europe
    • 10.3.1 Germany
    • 10.3.2 UK
    • 10.3.3 Italy
    • 10.3.4 France
    • 10.3.5 Spain
    • 10.3.6 Rest of Europe
  • 10.4 Asia Pacific
    • 10.4.1 Japan
    • 10.4.2 China
    • 10.4.3 India
    • 10.4.4 Australia
    • 10.4.5 New Zealand
    • 10.4.6 South Korea
    • 10.4.7 Rest of Asia Pacific
  • 10.5 South America
    • 10.5.1 Argentina
    • 10.5.2 Brazil
    • 10.5.3 Chile
    • 10.5.4 Rest of South America
  • 10.6 Middle East & Africa
    • 10.6.1 Saudi Arabia
    • 10.6.2 UAE
    • 10.6.3 Qatar
    • 10.6.4 South Africa
    • 10.6.5 Rest of Middle East & Africa

11 Key Developments

  • 11.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 11.2 Acquisitions & Mergers
  • 11.3 New Product Launch
  • 11.4 Expansions
  • 11.5 Other Key Strategies

12 Company Profiling

  • 12.1 Woebot Health
  • 12.2 Quartet Health
  • 12.3 Talkspace
  • 12.4 Wysa
  • 12.5 Spring Health
  • 12.6 Ada Health
  • 12.7 Lyra Health
  • 12.8 7 Cups
  • 12.9 Mindstrong Health
  • 12.10 Limbix
  • 12.11 Youper
  • 12.12 Happify Health
  • 12.13 Cognoa
  • 12.14 Big Health
  • 12.15 Eleos Health
  • 12.16 Meru Health
  • 12.17 Modern Health
  • 12.18 Kintsugi
  • 12.19 Cerebral

List of Tables

  • Table 1 Global AI In Mental Health Market Outlook, By Region (2024-2032) ($MN)
  • Table 2 Global AI In Mental Health Market Outlook, By Component (2024-2032) ($MN)
  • Table 3 Global AI In Mental Health Market Outlook, By Solutions (2024-2032) ($MN)
  • Table 4 Global AI In Mental Health Market Outlook, By Services (2024-2032) ($MN)
  • Table 5 Global AI In Mental Health Market Outlook, By Disorder (2024-2032) ($MN)
  • Table 6 Global AI In Mental Health Market Outlook, By Anxiety (2024-2032) ($MN)
  • Table 7 Global AI In Mental Health Market Outlook, By Depression (2024-2032) ($MN)
  • Table 8 Global AI In Mental Health Market Outlook, By Schizophrenia (2024-2032) ($MN)
  • Table 9 Global AI In Mental Health Market Outlook, By Post-Traumatic Stress Disorder (PTSD) (2024-2032) ($MN)
  • Table 10 Global AI In Mental Health Market Outlook, By Insomnia (2024-2032) ($MN)
  • Table 11 Global AI In Mental Health Market Outlook, By Other Disorders (2024-2032) ($MN)
  • Table 12 Global AI In Mental Health Market Outlook, By Technology (2024-2032) ($MN)
  • Table 13 Global AI In Mental Health Market Outlook, By Machine Learning (ML) (2024-2032) ($MN)
  • Table 14 Global AI In Mental Health Market Outlook, By Computer Vision (2024-2032) ($MN)
  • Table 15 Global AI In Mental Health Market Outlook, By Natural Language Processing (NLP) (2024-2032) ($MN)
  • Table 16 Global AI In Mental Health Market Outlook, By Other Technologies (2024-2032) ($MN)
  • Table 17 Global AI In Mental Health Market Outlook, By Application (2024-2032) ($MN)
  • Table 18 Global AI In Mental Health Market Outlook, By Clinical Research (2024-2032) ($MN)
  • Table 19 Global AI In Mental Health Market Outlook, By Risk Assessment & Monitoring (2024-2032) ($MN)
  • Table 20 Global AI In Mental Health Market Outlook, By Patient Management (2024-2032) ($MN)
  • Table 21 Global AI In Mental Health Market Outlook, By Drug Discovery & Development (2024-2032) ($MN)
  • Table 22 Global AI In Mental Health Market Outlook, By Diagnostic Assistance (2024-2032) ($MN)
  • Table 23 Global AI In Mental Health Market Outlook, By Virtual Therapists & Chatbots (2024-2032) ($MN)
  • Table 24 Global AI In Mental Health Market Outlook, By Other Applications (2024-2032) ($MN)
  • Table 25 Global AI In Mental Health Market Outlook, By End User (2024-2032) ($MN)
  • Table 26 Global AI In Mental Health Market Outlook, By Hospitals & Clinics (2024-2032) ($MN)
  • Table 27 Global AI In Mental Health Market Outlook, By Mental Health Centers (2024-2032) ($MN)
  • Table 28 Global AI In Mental Health Market Outlook, By Research & Academic Institutions (2024-2032) ($MN)
  • Table 29 Global AI In Mental Health Market Outlook, By Pharmaceutical & Biotechnology Companies (2024-2032) ($MN)
  • Table 30 Global AI In Mental Health Market Outlook, By Other End Users (2024-2032) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.