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市场调查报告书
商品编码
1797927

2032 年心理健康市场人工智慧预测：按组件、疾病、技术、应用、最终用户和地区进行全球分析

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个工作天内

价格

根据 Stratistics MRC 的数据，全球心理健康人工智慧市场规模预计在 2025 年达到 17 亿美元，到 2032 年将达到 91 亿美元，预测期内的复合年增长率为 26.1%。

心理健康领域的人工智慧 (AI) 是指应用 AI 技术来改善心理疾病的诊断、治疗和管理。透过评估语音、文字、行为模式和生物特征数据，AI 系统可以识别心理健康问题的早期指标，客製化治疗方案并即时追踪患者病情进展。其应用范例包括用于情绪支持的虚拟助理、用于认知行为疗法的聊天机器人以及用于自杀预防的预测分析。 AI 能够实现数据驱动、可扩展且便利的心理健康护理，尤其是在弱势群体中。隐私、偏见和临床检验的伦理考量对于负责任地将其纳入医疗保健系统仍然至关重要。

根据世界卫生组织（WHO）的报告，2019年全球约有9.7亿人患有精神障碍。

精神健康障碍盛行率上升

精神健康障碍盛行率的上升显着推动了人工智慧市场在精神健康领域的成长。随着焦虑、忧郁症和创伤后压力症候群等疾病在各个年龄层和地理区域的传播日益普遍，对及时、准确且可扩展的诊断和治疗工具的需求也日益增长。人工智慧平台提供早期检测、远端监控和个人化治疗方案，使精神保健服务更加便捷有效率。这种日益增长的盛行率将刺激创新和应用，塑造数位化精神健康的变革性未来。

系统调试和维护的复杂性

系统调试和维护的复杂性对心理健康领域的人工智慧市场构成了重大挑战。这些复杂的系统需要专业知识来排除故障，这会增加营运成本并减缓部署速度。频繁的系统错误和故障会扰乱患者护理，并削弱临床医生和消费者之间的信任。因此，市场采用率较低，医疗服务提供者也犹豫不决，最终阻碍了人工智慧主导解决方案的成长和扩充性。

NLP 与机器学习的进步

自然语言处理 (NLP) 和机器学习 (ML) 的进步，正成为心理健康领域人工智慧市场成长的强大催化剂。这些技术使人工智慧系统能够更好地理解、解读和回应人类的情绪、言语模式和行为线索，并提升其细微差别和精准度。这增强了心理健康状况的早期发现、持续监测和个人化治疗。因此，人工智慧工具正变得更加富有同理心、反应迅速且值得信赖，从而促进了其在整个心理健康体系中的广泛应用。

人工智慧演算法的临床检验有限

人工智慧演算法临床检验有限，严重阻碍了其在心理健康领域的可靠性、应用和扩充性。由于缺乏严格的检验，医疗专业人士仍然对人工智慧工具持怀疑态度，担心其准确性和误诊。这阻碍了其与临床工作流程的整合，并延迟了监管部门的核准。缺乏真实世界证据进一步阻碍了投资和伙伴关係，最终阻碍了创新，并阻止这些技术惠及那些最能从及时的心理健康干预中获益的患者。

COVID-19的影响

新冠疫情显着加速了心理健康领域人工智慧市场的成长。由于隔离、焦虑和经济压力导致的心理健康问题日益增多，对便利且可扩展的心理健康解决方案的需求也随之飙升。人工智慧平台提供了远端咨询、情绪变化监测和早期诊断工具，帮助填补了封锁期间的医疗资源缺口。在这样的危机时期，人工智慧的应用凸显了其在改变全球心理健康服务模式方面的关键作用。

机器学习 (ML) 领域预计将成为预测期内最大的领域

机器学习 (ML) 领域预计将在预测期内占据最大市场占有率，因为机器学习能够更早、更准确地检测忧郁症、焦虑症和创伤后压力症候群 (PTSD) 等心理健康状况。这些智慧系统可以提供个人化治疗建议，即时监测行为模式，并为临床医生提供诊断和治疗方案。这项技术创新不仅提高了医疗服务的可近性，还透过提供私密的、技术支援的解决方案减少了污名化，从而稳步推动市场成长。

预计临床研究领域在预测期内的复合年增长率最高

预计临床研究领域将在预测期内实现最高成长率，这得益于强大的数据集和现实世界洞察，这些洞察提升了演算法的准确性和可靠性。临床试验和纵向研究正在推动人工智慧驱动的预测模型的开发，用于早期检测、个人化治疗和风险评估。这种以证据为基础的基础能够建立对医疗保健提供者的信任，加快监管核准，并促进更广泛的应用。随着临床检验的加强，心理健康领域的人工智慧解决方案将变得更加有效和符合伦理道德，从而在整个医疗保健系统中获得更广泛的认可。

比最大的地区

由于人们意识的提升、心理健康障碍数量的增加以及智慧型手机普及率的提高，预计亚太地区将在预测期内占据最大的市场占有率。人工智慧工具可实现早期诊断、即时监测和个人化治疗，从而弥合偏远和服务欠缺地区的治疗缺口。各国政府和医疗机构正在投资数位心理健康平台，科技新兴企业也在快速创新。这种势头正在彻底改变医疗服务，并减少围绕心理健康的社会污名。

复合年增长率最高的地区

预计北美在预测期内将呈现最高的复合年增长率，这得益于技术进步、强大的医疗基础设施以及日益增强的心理健康意识。该地区率先采用了人工智慧诊断工具、聊天机器人和虚拟治疗师，从而实现了及时干预和个人化治疗，彻底改变了患者照护。政府的支持和对数位健康解决方案的持续投资将进一步促进这一进程。随着对便利心理健康服务的需求日益增长，人工智慧正在弥合医疗服务提供的差距，尤其是在服务不足和偏远社区。

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  • 公司简介
    • 全面分析其他市场参与者（最多 3 家公司）
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  • 区域细分
    • 根据客户兴趣对主要国家进行的市场估计、预测和复合年增长率（註：基于可行性检查）
  • 竞争基准化分析
    • 根据产品系列、地理分布和策略联盟对主要企业基准化分析

目录

第一章执行摘要

第二章 前言

  • 概述
  • 相关利益者
  • 调查范围
  • 调查方法
    • 资料探勘
    • 数据分析
    • 数据检验
    • 研究途径
  • 研究材料
    • 主要研究资料
    • 二手研究资讯来源
    • 先决条件

第三章市场走势分析

  • 驱动程式
  • 抑制因素
  • 机会
  • 威胁
  • 技术分析
  • 应用分析
  • 最终用户分析
  • 新兴市场
  • COVID-19的影响

第四章 波特五力分析

  • 供应商的议价能力
  • 买方的议价能力
  • 替代品的威胁
  • 新进入者的威胁
  • 竞争对手之间的竞争

5. 全球心理健康人工智慧市场（按组成部分）

  • 解决方案
  • 服务

6. 全球精神健康领域人工智慧市场（按疾病）

  • 焦虑
  • 忧郁症
  • 思觉失调症
  • 创伤后压力症候群（PTSD）
  • 失眠
  • 其他的

7. 全球心理健康人工智慧市场（按技术）

  • 机器学习（ML）
  • 电脑视觉
  • 自然语言处理（NLP）
  • 其他的

8. 全球心理健康人工智慧市场（按应用）

  • 临床研究
  • 风险评估与监测
  • 病患管理
  • 药物发现与开发
  • 诊断支持
  • 虚拟治疗师聊天机器人
  • 其他的

9. 全球心理健康人工智慧市场（按最终用户）

  • 医院和诊所
  • 心理健康中心
  • 研究和学术机构
  • 製药和生物技术公司
  • 其他的

10. 全球心理健康人工智慧市场（按地区）

  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 义大利
    • 法国
    • 西班牙
    • 其他欧洲国家
  • 亚太地区
    • 日本
    • 中国
    • 印度
    • 澳洲
    • 纽西兰
    • 韩国
    • 其他亚太地区
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地区
  • 中东和非洲
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 卡达
    • 南非
    • 其他中东和非洲地区

第十一章 重大进展

  • 协议、伙伴关係、合作和合资企业
  • 收购与合併
  • 新产品发布
  • 业务扩展
  • 其他关键策略

第十二章：企业概况

  • 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.