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市場調查報告書
商品編碼
1959123

2026-2034年全球心理健康領域人工智慧（AI）市場規模、佔有率、趨勢和成長分析報告

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個工作天內

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簡介目錄

預計到 2025 年，心理健康領域的人工智慧 (AI) 市場規模將達到 17.5 億美元，到 2034 年將達到 202.1 億美元，2026 年至 2034 年的複合年成長率為 31.27%。

在人們對心理健康問題的日益關注以及對創新解決方案的需求推動下，人工智慧在心理健康領域的市場正蓄勢待發，即將迎來變革性成長。在全球範圍內，隨著心理健康意識的提高，人們對便利有效的治療方法的需求也日益成長。人工智慧技術正整合到心理健康醫療服務中，以提高診斷準確性、個人化治療方案並提供即時支援。透過機器學習演算法和自然語言處理技術，人工智慧可以分析大量數據、識別模式、預測心理健康危機，並實現及時干預，從而顯著改善患者的治療效果。

此外，人工智慧在心理健康領域的應用正在徹底改變人們獲取醫療服務的方式。人工智慧驅動的遠距遠端醫療平台正在改善人們獲得心理健康服務的途徑，尤其是在醫療資源匱乏、傳統醫療服務不足的地區。這些平台提供虛擬治療、即時支援的聊天機器人以及自助工具，幫助人們主動管理自身心理健康。隨著科技的進步，人工智慧在提升治療體驗和提供持續支援方面的潛力將推動其在心理健康領域的進一步應用。

此外，在人工智慧應用於心理健康領域時，倫理考量和資料隱私的重要性日益凸顯。隨著人工智慧系統收集和分析敏感的個人數據，確保這些資訊的安全性和保密性成為首要任務。相關人員致力於建立一個健全的框架，優先考慮符合倫理的人工智慧實踐，包括透明度、課責和知情同意。隨著市場的成熟，應對這些挑戰對於建立用戶信任以及確保在心理健康領域負責任地使用人工智慧技術至關重要。

目錄

第1章 引言

第2章執行摘要

第3章 市場變數、趨勢與框架

  • 市場譜系展望
  • 滲透率和成長前景分析
  • 價值鏈分析
  • 法律規範
    • 標準與合規性
    • 監管影響分析
  • 市場動態
    • 市場促進因素
    • 市場限制因素
    • 市場機遇
    • 市場問題
  • 波特五力分析
  • PESTLE分析

第4章：全球心理健康領域人工智慧（AI）市場：按組件分類

  • 市場分析、洞察與預測
  • 軟體即服務
  • 硬體

第5章：全球心理健康領域的人工智慧（AI）市場：按技術分類

  • 市場分析、洞察與預測
  • 自然語言處理
  • 情境感知計算
  • 電腦視覺
  • 機器學習

第6章：全球心理健康領域人工智慧（AI）市場：依最終用戶分類

  • 市場分析、洞察與預測
  • 醫院和診所
  • 心理健康中心
  • 研究機構
  • 其他

第7章：全球心理健康領域人工智慧（AI）市場：按地區分類

  • 區域分析
  • 北美市場分析、洞察與預測
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲市場分析、洞察與預測
    • 英國
    • 法國
    • 德國
    • 義大利
    • 俄羅斯
    • 其他歐洲國家
  • 亞太市場分析、洞察與預測
    • 印度
    • 日本
    • 韓國
    • 澳洲
    • 東南亞
    • 其他亞太國家
  • 拉丁美洲市場分析、洞察與預測
    • 巴西
    • 阿根廷
    • 秘魯
    • 智利
    • 其他拉丁美洲國家
  • 中東和非洲市場分析、洞察與預測
    • 沙烏地阿拉伯
    • UAE
    • 以色列
    • 南非
    • 其他中東和非洲國家

第8章 競爭情勢

  • 最新趨勢
  • 公司分類
  • 供應鏈和銷售管道合作夥伴（根據現有資訊）
  • 市場佔有率和市場定位分析（基於現有資訊）
  • 供應商情況（基於現有資訊）
  • 策略規劃

第9章：公司簡介

  • 主要公司的市佔率分析
  • 公司簡介
    • Cognito Therapeutics
    • Mental Health AI
    • Mental Canvas
    • Calmerry
    • AiCure
    • Flow Neuroscience
    • Moodpath
簡介目錄
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