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市场调查报告书
商品编码
1959123

2026-2034年全球心理健康领域人工智慧（AI）市场规模、份额、趋势和成长分析报告

Global Artificial Intelligence in Mental Health Market Size, Share, Trends & Growth Analysis Report 2026-2034
出版日期: | 出版商: Value Market Research | 英文 132 Pages | 商品交期: 最快1-2个工作天内

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简介目录

预计到 2025 年，心理健康领域的人工智慧 (AI) 市场规模将达到 17.5 亿美元，到 2034 年将达到 202.1 亿美元，2026 年至 2034 年的复合年增长率为 31.27%。

在人们对心理健康问题的日益关注以及对创新解决方案的需求推动下，人工智慧在心理健康领域的市场正蓄势待发，即将迎来变革性成长。在全球范围内，随着心理健康意识的提高，人们对便利有效的治疗方法的需求也日益增长。人工智慧技术正整合到心理健康医疗服务中，以提高诊断准确性、个人化治疗方案并提供即时支援。透过机器学习演算法和自然语言处理技术，人工智慧可以分析大量数据、识别模式、预测心理健康危机，并实现及时干预，从而显着改善患者的治疗效果。

此外，人工智慧在心理健康领域的应用正在彻底改变人们获取医疗服务的方式。人工智慧驱动的远距远端医疗平台正在改善人们获得心理健康服务的途径，尤其是在医疗资源匮乏、传统医疗服务不足的地区。这些平台提供虚拟治疗、即时支援的聊天机器人以及自助工具，帮助人们主动管理自身心理健康。随着科技的进步，人工智慧在提升治疗体验和提供持续支援方面的潜力将推动其在心理健康领域的进一步应用。

此外，在人工智慧应用于心理健康领域时，伦理考量和资料隐私的重要性日益凸显。随着人工智慧系统收集和分析敏感的个人数据，确保这些资讯的安全性和保密性成为首要任务。相关人员致力于建立一个健全的框架，优先考虑符合伦理的人工智慧实践，包括透明度、课责和知情同意。随着市场的成熟，应对这些挑战对于建立用户信任以及确保在心理健康领域负责任地使用人工智慧技术至关重要。

目录

第一章 引言

第二章执行摘要

第三章 市场变数、趋势与框架

  • 市场谱系展望
  • 渗透率和成长前景分析
  • 价值链分析
  • 法律规范
    • 标准与合规性
    • 监管影响分析
  • 市场动态
    • 市场驱动因素
    • 市场限制因素
    • 市场机会
    • 市场问题
  • 波特五力分析
  • PESTLE分析

第四章：全球心理健康领域人工智慧（AI）市场：按组件划分

  • 市场分析、洞察与预测
  • 软体即服务
  • 硬体

第五章：全球心理健康领域的人工智慧（AI）市场：按技术划分

  • 市场分析、洞察与预测
  • 自然语言处理
  • 情境感知计算
  • 电脑视觉
  • 机器学习

第六章：全球心理健康领域人工智慧（AI）市场：依最终用户划分

  • 市场分析、洞察与预测
  • 医院和诊所
  • 心理健康中心
  • 研究机构
  • 其他的

第七章：全球心理健康领域人工智慧（AI）市场：按地区划分

  • 区域分析
  • 北美市场分析、洞察与预测
    • 我们
    • 加拿大
    • 墨西哥
  • 欧洲市场分析、洞察与预测
    • 英国
    • 法国
    • 德国
    • 义大利
    • 俄罗斯
    • 其他欧洲国家
  • 亚太市场分析、洞察与预测
    • 印度
    • 日本
    • 韩国
    • 澳洲
    • 东南亚
    • 其他亚太国家
  • 拉丁美洲市场分析、洞察与预测
    • 巴西
    • 阿根廷
    • 秘鲁
    • 智利
    • 其他拉丁美洲国家
  • 中东和非洲市场分析、洞察与预测
    • 沙乌地阿拉伯
    • UAE
    • 以色列
    • 南非
    • 其他中东和非洲国家

第八章 竞争情势

  • 最新趋势
  • 公司分类
  • 供应链和销售管道合作伙伴（根据现有资讯）
  • 市场占有率和市场定位分析（基于现有资讯）
  • 供应商情况（基于现有资讯）
  • 策略规划

第九章：公司简介

  • 主要公司的市占率分析
  • 公司简介
    • Cognito Therapeutics
    • Mental Health AI
    • Mental Canvas
    • Calmerry
    • AiCure
    • Flow Neuroscience
    • Moodpath
简介目录
Product Code: VMR112113800

The Artificial Intelligence in Mental Health Market size is expected to reach USD 20.21 Billion in 2034 from USD 1.75 Billion (2025) growing at a CAGR of 31.27% during 2026-2034.

The Artificial Intelligence in Mental Health Market is poised for transformative growth, driven by the increasing recognition of mental health issues and the need for innovative solutions. As mental health awareness rises globally, there is a growing demand for accessible and effective treatment options. AI technologies are being integrated into mental health care to enhance diagnostic accuracy, personalize treatment plans, and provide real-time support. By leveraging machine learning algorithms and natural language processing, AI can analyze vast amounts of data to identify patterns and predict mental health crises, enabling timely interventions that can significantly improve patient outcomes.

Moreover, the integration of AI in mental health applications is revolutionizing the way individuals access care. Telehealth platforms powered by AI are making mental health services more accessible, particularly in underserved areas where traditional resources may be limited. These platforms offer virtual therapy sessions, chatbots for immediate support, and self-help tools that empower individuals to manage their mental health proactively. As technology continues to evolve, the potential for AI to enhance the therapeutic experience and provide continuous support will likely drive further adoption in the mental health sector.

Additionally, ethical considerations and data privacy are becoming increasingly important in the Artificial Intelligence in Mental Health Market. As AI systems collect and analyze sensitive personal data, ensuring the security and confidentiality of this information is paramount. Stakeholders are focusing on developing robust frameworks that prioritize ethical AI practices, including transparency, accountability, and informed consent. As the market matures, addressing these challenges will be crucial for building trust among users and ensuring the responsible use of AI technologies in mental health care.

Our reports are meticulously crafted to provide clients with comprehensive and actionable insights into various industries and markets. Each report encompasses several critical components to ensure a thorough understanding of the market landscape:

Market Overview: A detailed introduction to the market, including definitions, classifications, and an overview of the industry's current state.

Market Dynamics: In-depth analysis of key drivers, restraints, opportunities, and challenges influencing market growth. This section examines factors such as technological advancements, regulatory changes, and emerging trends.

Segmentation Analysis: Breakdown of the market into distinct segments based on criteria like product type, application, end-user, and geography. This analysis highlights the performance and potential of each segment.

Competitive Landscape: Comprehensive assessment of major market players, including their market share, product portfolio, strategic initiatives, and financial performance. This section provides insights into the competitive dynamics and key strategies adopted by leading companies.

Market Forecast: Projections of market size and growth trends over a specified period, based on historical data and current market conditions. This includes quantitative analyses and graphical representations to illustrate future market trajectories.

Regional Analysis: Evaluation of market performance across different geographical regions, identifying key markets and regional trends. This helps in understanding regional market dynamics and opportunities.

Emerging Trends and Opportunities: Identification of current and emerging market trends, technological innovations, and potential areas for investment. This section offers insights into future market developments and growth prospects.

MARKET SEGMENTATION

By Component

  • Software-as-a-Service
  • Hardware

By Technology

  • Natural Language Processing
  • Context-Aware Computing
  • Computer Vision
  • Machine Learning

By End User

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

COMPANIES PROFILED

  • Cognito Therapeutics, Mental Health AI, Mental Canvas, Calmerry, AiCure, Flow Neuroscience, Moodpath

We can customise the report as per your requriements

TABLE OF CONTENTS

Chapter 1. PREFACE

  • 1.1. Market Segmentation & Scope
  • 1.2. Market Definition
  • 1.3. Information Procurement
    • 1.3.1 Information Analysis
    • 1.3.2 Market Formulation & Data Visualization
    • 1.3.3 Data Validation & Publishing
  • 1.4. Research Scope and Assumptions
    • 1.4.1 List of Data Sources

Chapter 2. EXECUTIVE SUMMARY

  • 2.1. Market Snapshot
  • 2.2. Segmental Outlook
  • 2.3. Competitive Outlook

Chapter 3. MARKET VARIABLES, TRENDS, FRAMEWORK

  • 3.1. Market Lineage Outlook
  • 3.2. Penetration & Growth Prospect Mapping
  • 3.3. Value Chain Analysis
  • 3.4. Regulatory Framework
    • 3.4.1 Standards & Compliance
    • 3.4.2 Regulatory Impact Analysis
  • 3.5. Market Dynamics
    • 3.5.1 Market Drivers
    • 3.5.2 Market Restraints
    • 3.5.3 Market Opportunities
    • 3.5.4 Market Challenges
  • 3.6. Porter's Five Forces Analysis
  • 3.7. PESTLE Analysis

Chapter 4. GLOBAL ARTIFICIAL INTELLIGENCE IN MENTAL HEALTH MARKET: BY COMPONENT 2022-2034 (USD MN)

  • 4.1. Market Analysis, Insights and Forecast Component
  • 4.2. Software-as-a-Service Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 4.3. Hardware Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 5. GLOBAL ARTIFICIAL INTELLIGENCE IN MENTAL HEALTH MARKET: BY TECHNOLOGY 2022-2034 (USD MN)

  • 5.1. Market Analysis, Insights and Forecast Technology
  • 5.2. Natural Language Processing Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 5.3. Context-Aware Computing Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 5.4. Computer Vision Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 5.5. Machine Learning Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 6. GLOBAL ARTIFICIAL INTELLIGENCE IN MENTAL HEALTH MARKET: BY END USER 2022-2034 (USD MN)

  • 6.1. Market Analysis, Insights and Forecast End User
  • 6.2. Hospitals and Clinics Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 6.3. Mental Health Centers Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 6.4. Research Institutions Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 6.5. Others Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 7. GLOBAL ARTIFICIAL INTELLIGENCE IN MENTAL HEALTH MARKET: BY REGION 2022-2034(USD MN)

  • 7.1. Regional Outlook
  • 7.2. North America Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
    • 7.2.1 By Component
    • 7.2.2 By Technology
    • 7.2.3 By End User
    • 7.2.4 United States
    • 7.2.5 Canada
    • 7.2.6 Mexico
  • 7.3. Europe Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
    • 7.3.1 By Component
    • 7.3.2 By Technology
    • 7.3.3 By End User
    • 7.3.4 United Kingdom
    • 7.3.5 France
    • 7.3.6 Germany
    • 7.3.7 Italy
    • 7.3.8 Russia
    • 7.3.9 Rest Of Europe
  • 7.4. Asia-Pacific Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
    • 7.4.1 By Component
    • 7.4.2 By Technology
    • 7.4.3 By End User
    • 7.4.4 India
    • 7.4.5 Japan
    • 7.4.6 South Korea
    • 7.4.7 Australia
    • 7.4.8 South East Asia
    • 7.4.9 Rest Of Asia Pacific
  • 7.5. Latin America Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
    • 7.5.1 By Component
    • 7.5.2 By Technology
    • 7.5.3 By End User
    • 7.5.4 Brazil
    • 7.5.5 Argentina
    • 7.5.6 Peru
    • 7.5.7 Chile
    • 7.5.8 South East Asia
    • 7.5.9 Rest of Latin America
  • 7.6. Middle East & Africa Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
    • 7.6.1 By Component
    • 7.6.2 By Technology
    • 7.6.3 By End User
    • 7.6.4 Saudi Arabia
    • 7.6.5 UAE
    • 7.6.6 Israel
    • 7.6.7 South Africa
    • 7.6.8 Rest of the Middle East And Africa

Chapter 8. COMPETITIVE LANDSCAPE

  • 8.1. Recent Developments
  • 8.2. Company Categorization
  • 8.3. Supply Chain & Channel Partners (based on availability)
  • 8.4. Market Share & Positioning Analysis (based on availability)
  • 8.5. Vendor Landscape (based on availability)
  • 8.6. Strategy Mapping

Chapter 9. COMPANY PROFILES OF GLOBAL ARTIFICIAL INTELLIGENCE IN MENTAL HEALTH INDUSTRY

  • 9.1. Top Companies Market Share Analysis
  • 9.2. Company Profiles
    • 9.2.1 Cognito Therapeutics
    • 9.2.2 Mental Health AI
    • 9.2.3 Mental Canvas
    • 9.2.4 Calmerry
    • 9.2.5 AiCure
    • 9.2.6 Flow Neuroscience
    • 9.2.7 Moodpath