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市场调查报告书
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1649458

人工智慧 (AI) 在心理健康领域的应用：预测（2025-2030 年）

Artificial Intelligence (AI) in Mental Health Market - Forecasts from 2025 to 2030
出版日期: | 出版商: Knowledge Sourcing Intelligence | 英文 150 Pages | 商品交期: 最快1-2个工作天内

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简介目录

心理健康领域的AI市场预计将以17.11%的复合年增长率成长，到2030年市场规模将达到72.0218亿美元，高于2025年的32.6978亿美元。

精神疾病仍然是全球主要的公共卫生问题，影响着全世界数百万人。儘管心理健康护理机会有限、耻辱感和资源限制等挑战，但人工智慧（AI）技术的整合为心理健康护理带来了光明的未来。由于忧郁症、思觉失调症和其他精神病患者的增多，精神健康领域的人工智慧市场正在成长。根据世界卫生组织（WHO）的数据，大约有4.4％的10-14岁青少年患有焦虑症，而15-19岁的青少年中约有5.5％患有焦虑症。

人工智慧（AI）在心理健康领域的市场驱动因素：

  • 提高对心理健康的认识并减少耻辱感：精神障碍盛行率的上升是推动心理健康人工智慧市场发展的关键因素。根据世界卫生组织报告，全球10至19岁人口中，每七人中就有一人患有精神障碍，占该年龄层全球疾病负担的15%。自杀是15至29岁族群的第三大死因。 2022 年，7.74% 的美国成年人报告有物质使用疾患。

此外，根据美国精神健康协会的数据，2022 年美国19.86% 的成年人将患有精神疾病，约 56% 的人不会接受治疗。这些尚未满足的需求为人工智慧技术提供有效的解决方案提供了机会。

精神健康市场人工智慧（AI）的地理模式：

  • 美国显着成长：美国精神健康领域的人工智慧市场正在经历显着成长，推动因素有几个关键，包括精神健康障碍盛行率不断上升、人工智慧技术的进步以及远端医疗解决方案的接受度不断提高。焦虑、忧郁症和创伤后压力症候群等问题的增多迫切需要有效的治疗方案。 COVID-19 疫情加剧了这些挑战，随着个人在压力和不确定性加剧的情况下寻求帮助，对心理健康服务的需求激增。

由于传统医疗保健系统难以满足这一需求，人工智慧技术正成为一种可行的解决方案，透过提供可扩展且可访问的心理医疗保健来填补这一空白。主导平台可以分析大量资料，提供个人化治疗和即时情感支持，使心理健康服务更有效率、更有效率。美国政府认识到人工智慧在医疗保健领域的潜力，并正在采取倡议促进其发展。例如，美国人工智慧倡议旨在透过为各个领域的应用制定指导方针，使美国成为人工智慧领域的领先者。此外，心理健康技术的丰厚融资机会正在吸引公共和私营部门的投资，进一步刺激创新。强大的医疗IT基础设施加上公众对心理健康问题日益增强的认识，为 AI 解决方案的快速扩展创造了肥沃的土壤。摘要，由于人们对心理健康问题的认识不断提高、人工智慧应用的技术进步、对有效治疗方案的需求不断增加以及政府（尤其是在美国）鼓励这一关键领域创新的支持性倡议，全球心理健康人工智慧市场预计将以显着的速度增长。

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它有什么用途？

产业与市场分析、商业机会评估、产品需求预测、打入市场策略、地理扩张、资本支出决策、法律规范与影响、新产品开发、竞争影响

研究范围

  • 2022 年至 2030 年的实际资料和预测
  • 成长机会、挑战、供应链前景、法规结构、顾客行为、趋势分析
  • 竞争定位、策略与市场占有率分析
  • 收益成长和预测包括国家在内的细分市场和地区分析
  • 公司概况（策略、产品、财务、主要发展等）

心理健康领域的人工智慧（AI）市场细分如下：

依技术分类

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

按应用

  • 诊断和治疗
  • 虚拟助理/聊天机器人
  • 心理健康监测
  • 预测分析
  • 其他的

按最终用户

  • 医院和诊所
  • 心理健康中心
  • 研究所
  • 其他的

按地区

  • 北美洲
  • 美国
  • 加拿大
  • 墨西哥
  • 南美洲
  • 巴西
  • 阿根廷
  • 其他的
  • 欧洲
  • 英国
  • 德国
  • 法国
  • 西班牙
  • 其他的
  • 中东和非洲
  • 沙乌地阿拉伯
  • UAE
  • 以色列
  • 其他的
  • 亚太地区
  • 日本
  • 中国
  • 印度
  • 韩国
  • 印尼
  • 泰国
  • 其他的

目录

第 1 章 简介

  • 市场概况
  • 市场定义
  • 研究范围
  • 市场区隔
  • 货币
  • 先决条件
  • 基准年和预测年时间表
  • 相关人员的主要利益

第二章调查方法

  • 研究设计
  • 研究过程

第三章执行摘要

  • 主要发现
  • 分析师观点

第四章 市场动态

  • 市场驱动因素
  • 市场限制
  • 波特五力分析
  • 产业价值链分析

5. 心理健康市场中的人工智慧（AI）技术

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

6. 人工智慧（AI）在心理健康市场的应用

  • 介绍
  • 诊断和治疗
  • 虚拟助理/聊天机器人
  • 心理健康监测
  • 预测分析
  • 其他的

7. 心理健康市场中的人工智慧（AI）终端用户

  • 介绍
  • 医院和诊所
  • 心理健康中心
  • 研究所
  • 其他的

8. 心理健康市场中的人工智慧（AI）按地区划分

  • 介绍
  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥
  • 南美洲
    • 巴西
    • 阿根廷
    • 其他的
  • 欧洲
    • 英国
    • 德国
    • 法国
    • 西班牙
    • 其他的
  • 中东和非洲
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 以色列
    • 其他的
  • 亚太地区
    • 日本
    • 中国
    • 印度
    • 韩国
    • 印尼
    • 泰国
    • 其他的

第九章竞争格局及分析

  • 主要企业和策略分析
  • 市场占有率分析
  • 合併、收购、协议和合作
  • 竞争仪錶板

第十章 公司简介

  • Google Llc（Alphabet Inc.）
  • Microsoft Corporation
  • IBM Corporation
  • Amazon Web Services（AWS）
  • Intel Corporation
  • Cogito Corporation
  • Ginger.io Inc.（Headspace Health）
  • Woebot Health
  • Pear Therapeutics, Inc.
  • HopeLine.ai
  • Wysa Ltd
简介目录
Product Code: KSI061615750

The AI in the mental health market is expected to grow at a CAGR of 17.11%, reaching a market size of US$7,202.18 million in 2030 from US$3,269.78 million in 2025.

Mental illness remains a significant global public health issue, affecting millions of individuals worldwide. Despite the challenges posed by limited access to mental healthcare, stigma, and resource constraints, the integration of artificial intelligence (AI) technologies offers a promising future for mental health care. The AI in the mental health market is experiencing growth due to rising cases of depressive disorders, schizophrenia, and other psychotic disorders. According to the World Health Organization (WHO), approximately 4.4% of 10-14-year-olds and 5.5% of 15-19-year-olds suffer from anxiety disorders.

Drivers of the Artificial Intelligence (AI) in the Mental Health Market:

  • Increased Mental Health Awareness and Reduced Stigma: The growing prevalence of mental disorders is a significant factor driving the AI in mental health market. WHO reports that one in seven individuals aged 10-19 experiences a mental disorder, accounting for 15% of the global disease burden in this age group. Suicide ranks as the third leading cause of death among those aged 15-29 years. This escalating mental health crisis has created societal challenges, including substance use disorders; in 2022, 7.74% of adults in the U.S. reported having a substance use disorder.

Moreover, Mental Health America indicates that 19.86% of U.S. adults experienced a mental illness in 2022, with about 56% receiving no treatment. These unmet needs present an opportunity for AI technologies to provide effective solutions.

Geographical Outlook of the Artificial Intelligence (AI) in the Mental Health Market:

  • Significant Growth in the United States: The AI in mental health market is witnessing remarkable growth in the United States due to several key drivers, including an increasing prevalence of mental health disorders, advancements in AI technologies, and growing acceptance of telehealth solutions. The rise in issues such as anxiety, depression, and PTSD has created an urgent need for effective treatment options. The COVID-19 pandemic exacerbated these challenges, leading to a surge in demand for mental health services as individuals sought help during heightened stress and uncertainty.

As traditional healthcare systems struggle to meet this demand, AI technologies are emerging as viable solutions to bridge gaps by providing scalable and accessible mental health care. AI-driven platforms can analyze vast amounts of data to offer personalized therapy and real-time emotional support, enhancing the efficiency and effectiveness of mental health services.The U.S. government recognizes AI's potential in healthcare and has implemented initiatives to promote its development. For instance, the American AI Initiative aims to position the U.S. as a leader in artificial intelligence by establishing guidelines for various sectors' applications. Additionally, favorable funding opportunities for mental health technology have attracted investments from both public and private sectors, further driving innovation.The combination of a robust healthcare IT infrastructure and increasing public awareness about mental health issues creates an environment conducive to rapid expansion of AI solutions.In summary, the global AI in mental health market is poised for significant growth driven by rising awareness of mental health issues, technological advancements in AI applications, increasing demand for effective treatment options, and supportive governmental initiatives-particularly within the United States-that foster innovation in this critical sector.

Reasons for buying this report:-

  • Insightful Analysis: Gain detailed market insights covering major as well as emerging geographical regions, focusing on customer segments, government policies and socio-economic factors, consumer preferences, industry verticals, other sub- segments.
  • Competitive Landscape: Understand the strategic maneuvers employed by key players globally to understand possible market penetration with the correct strategy.
  • Market Drivers & Future Trends: Explore the dynamic factors and pivotal market trends and how they will shape up future market developments.
  • Actionable Recommendations: Utilize the insights to exercise strategic decision to uncover new business streams and revenues in a dynamic environment.
  • Caters to a Wide Audience: Beneficial and cost-effective for startups, research institutions, consultants, SMEs, and large enterprises.

What do businesses use our reports for?

Industry and Market Insights, Opportunity Assessment, Product Demand Forecasting, Market Entry Strategy, Geographical Expansion, Capital Investment Decisions, Regulatory Framework & Implications, New Product Development, Competitive Intelligence

Report Coverage:

  • Historical data & forecasts from 2022 to 2030
  • Growth Opportunities, Challenges, Supply Chain Outlook, Regulatory Framework, Customer Behaviour, and Trend Analysis
  • Competitive Positioning, Strategies, and Market Share Analysis
  • Revenue Growth and Forecast Assessment of segments and regions including countries
  • Company Profiling (Strategies, Products, Financial Information, and Key Developments among others)

Artificial Intelligence (AI) in mental health market has been segmented as following:

By Technology

  • Machine Learning
  • Natural Language Processing (NLP)
  • Deep Learning
  • Computer Vision
  • Others

By Application

  • Diagnosis And Treatment
  • Virtual Assistants and Chatbots
  • Mental Health Monitoring
  • Predictive Analytics
  • Others

By End-User

  • Hospitals And Clinics
  • Mental Health Centers
  • Research Institutions
  • Others

By Geography

  • North America
  • United States
  • Canada
  • Mexico
  • South America
  • Brazil
  • Argentina
  • Others
  • Europe
  • United Kingdom
  • Germany
  • France
  • Spain
  • Others
  • Middle East and Africa
  • Saudi Arabia
  • UAE
  • Israel
  • Others
  • Asia Pacific
  • Japan
  • China
  • India
  • South Korea
  • Indonesia
  • Thailand
  • Others

TABLE OF CONTENTS

1. INTRODUCTION

  • 1.1. Market Overview
  • 1.2. Market Definition
  • 1.3. Scope of the Study
  • 1.4. Market Segmentation
  • 1.5. Currency
  • 1.6. Assumptions
  • 1.7. Base and Forecast Years Timeline
  • 1.8. Key Benefits for the Stakeholders

2. RESEARCH METHODOLOGY

  • 2.1. Research Design
  • 2.2. Research Process

3. EXECUTIVE SUMMARY

  • 3.1. Key Findings
  • 3.2. Analyst View

4. MARKET DYNAMICS

  • 4.1. Market Drivers
  • 4.2. Market Restraints
  • 4.3. Porter's Five Forces Analysis
    • 4.3.1. Bargaining Power of Supplier
    • 4.3.2. Bargaining Power of Buyers
    • 4.3.3. Threat of New Entrants
    • 4.3.4. Threat of Substitutes
    • 4.3.5. Competitive Rivalry in the Industry
  • 4.4. Industry Value Chain Analysis

5. ARTIFICIAL INTELLIGENCE (AI) IN MENTAL HEALTH MARKET BY TECHNOLOGY

  • 5.1. Introduction
  • 5.2. Machine Learning
  • 5.3. Natural Language Processing (NLP)
  • 5.4. Deep Learning
  • 5.5. Computer Vision
  • 5.6. Others

6. ARTIFICIAL INTELLIGENCE (AI) IN MENTAL HEALTH MARKET BY APPLICATION

  • 6.1. Introduction
  • 6.2. Diagnosis And Treatment
  • 6.3. Virtual Assistants And Chatbots
  • 6.4. Mental Health Monitoring
  • 6.5. Predictive Analytics
  • 6.6. Others

7. ARTIFICIAL INTELLIGENCE (AI) IN MENTAL HEALTH MARKET BY END-USER

  • 7.1. Introduction
  • 7.2. Hospitals And Clinics
  • 7.3. Mental Health Centers
  • 7.4. Research Institutions
  • 7.5. Others

8. ARTIFICIAL INTELLIGENCE (AI) IN MENTAL HEALTH MARKET BY GEOGRAPHY

  • 8.1. Introduction
  • 8.2. North America
    • 8.2.1. United States
    • 8.2.2. Canada
    • 8.2.3. Mexico
  • 8.3. South America
    • 8.3.1. Brazil
    • 8.3.2. Argentina
    • 8.3.3. Others
  • 8.4. Europe
    • 8.4.1. United Kingdom
    • 8.4.2. Germany
    • 8.4.3. France
    • 8.4.4. Spain
    • 8.4.5. Others
  • 8.5. Middle East and Africa
    • 8.5.1. Saudi Arabia
    • 8.5.2. UAE
    • 8.5.3. Israel
    • 8.5.4. Others
  • 8.6. Asia Pacific
    • 8.6.1. Japan
    • 8.6.2. China
    • 8.6.3. India
    • 8.6.4. South Korea
    • 8.6.5. Indonesia
    • 8.6.6. Thailand
    • 8.6.7. Others

9. COMPETITIVE ENVIRONMENT AND ANALYSIS

  • 9.1. Major Players and Strategy Analysis
  • 9.2. Market Share Analysis
  • 9.3. Mergers, Acquisitions, Agreements, and Collaborations
  • 9.4. Competitive Dashboard

10. COMPANY PROFILES

  • 10.1. Google Llc (Alphabet Inc.)
  • 10.2. Microsoft Corporation
  • 10.3. IBM Corporation
  • 10.4. Amazon Web Services (AWS)
  • 10.5. Intel Corporation
  • 10.6. Cogito Corporation
  • 10.7. Ginger.io Inc. (Headspace Health)
  • 10.8. Woebot Health
  • 10.9. Pear Therapeutics, Inc.
  • 10.10. HopeLine.ai
  • 10.11. Wysa Ltd