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市場調查報告書
商品編碼
2110220

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 195 Pages | 商品交期: 最快1-2個工作天內

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簡介目錄

全球心理健康領域的人工智慧（AI）市場預計將從2025年的21.9億美元成長至2034年的145.5億美元，2026年至2034年的複合年成長率（CAGR）為23.42%。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，心理健康領域的人工智慧市場正蓄勢待發，有望實現變革性成長。隨著全球心理健康意識的提高，人們對便捷有效的治療方法的需求也日益成長。人工智慧技術正被引入心理健康領域，以提高診斷準確性、個人化治療方案並提供即時支援。透過利用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接受治療的方式。人工智慧驅動的遠距遠端醫療平台正在提高心理健康服務的可近性，尤其是在傳統醫療服務有限且難以到達的地區。這些平台提供線上心理諮詢、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己的心理健康。隨著科技的不斷發展，人工智慧在改善治療體驗和提供持續支援方面的潛力，很可能會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正變得日益重要。由於人工智慧系統會收集和分析高度敏感的個人數據，因此確保這些資訊的安全性和保密性至關重要。相關人員正致力於建立一個穩健的框架，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。

我們的報告經過精心撰寫，旨在提供涵蓋廣泛行業和市場的全面且切實可行的洞察。每份報告都包含幾個關鍵組成部分，旨在幫助您全面了解市場環境：

市場概覽：本節對市場進行了清晰的說明，包括關鍵定義、分類以及當前行業格局的概述。

市場動態：對影響市場成長的主要促進因素、阻礙因素、機會和挑戰進行詳細評估。這包括技術發展、法律規範和不斷變化的行業趨勢等因素。

市場區隔分析：本部分依據產品類型、應用、最終使用者和地區，將市場系統性地分類為若干關鍵細分市場。本部分揭示了每個細分市場的表現、成長潛力和市場貢獻。

競爭格局：我們對主要市場參與企業進行了詳細評估，包括其市場定位、產品系列、策略舉措和財務表現。這有助於深入了解競爭趨勢和主要參與者所採取的策略。

市場預測：本部分提供基於數據的市場規模和成長模式預測，預測期為指定時期。它綜合考慮了歷史趨勢、當前市場狀況和定量分析，以識別預期的未來趨勢。

區域分析：這包括對主要地理區域的市場表現進行全面檢驗，確定高成長領域和區域趨勢，以更深入地了解每個區域特有的市場機會。

新趨勢與新機會：識別關鍵市場趨勢、技術進步和新興投資機會。本部分重點在於潛在成長領域和未來產業趨勢。

客製化選項：我們提供靈活的報告客製化服務，以滿足您的特定需求。這包括額外的細分、國家/地區分析、競爭對手分析、客製化資料點或針對特定細分市場的洞察，從而更有效地支援您的策略決策。

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
    • 市場挑戰
  • 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
  • Software-as-a-Service
  • 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
    • Aiberry
    • AiCure
    • Big Health
    • CognoaInc
    • Ellipsis Health
    • Flow Neuroscience
    • Headspace Health
    • Infinit Care Inc
    • Kintsugi Mindful WellnessInc
    • Limbic
    • Lyra HealthInc
    • MeQuilibrium Inc
    • Meru Health Inc
    • MindDoc（Schoen Clinic Group）
    • Quartet HealthInc
    • SilverCloud Health（Amwell）
    • Spring Health Inc.（Spring Care, Inc.）
    • Syra Health
    • Woebot Health
    • Wysa Ltd
簡介目錄
Product Code: VMR112113800

The global artificial intelligence in mental health market size is expected to reach USD 14.55 Billion in 2034 from USD 2.19 Billion in 2025, growing at a CAGR of 23.42 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 carefully developed to deliver comprehensive and actionable insights across a wide range of industries and markets. Each report includes several essential components designed to provide a complete understanding of the market environment:

Market Overview: This section provides a clear introduction to the market, including key definitions, classifications, and an overview of the current industry landscape.

Market Dynamics: A detailed evaluation of the primary drivers, restraints, opportunities, and challenges shaping market growth. It covers factors such as technological developments, regulatory frameworks, and evolving industry trends.

Segmentation Analysis: A structured breakdown of the market into key segments based on product type, application, end-user, and geographic region. This section highlights the performance, growth potential, and contribution of each segment.

Competitive Landscape: An in-depth assessment of leading market participants, including their market positioning, product portfolios, strategic initiatives, and financial performance. It provides valuable insights into competitive dynamics and the strategies adopted by key players.

Market Forecast: Data-driven projections of market size and growth patterns over a defined forecast period. This section incorporates historical trends, current market conditions, and quantitative analysis to illustrate expected future developments.

Regional Analysis: A comprehensive review of market performance across major geographic regions, identifying high-growth areas and regional trends to better understand localized market opportunities.

Emerging Trends and Opportunities: Identification of significant market trends, technological advancements, and new investment opportunities. This section highlights potential growth areas and future industry developments.

Customization Options: We offer flexible customization services to tailor reports according to specific client requirements. This may include additional segmentation, country-level analysis, competitor profiling, customized data points, or focused insights on particular market segments to better support strategic decision-making.

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

  • Aiberry, AiCure, Big Health, Cognoa, Inc., Ellipsis Health, Flow Neuroscience, Headspace Health, Infinit Care Inc., Kintsugi Mindful Wellness, Inc., Limbic, Lyra Health, Inc., meQuilibrium Inc., Meru Health Inc., MindDoc (Schoen Clinic Group), Quartet Health, Inc., SilverCloud Health (Amwell), Spring Health Inc. (Spring Care, Inc.), Syra Health, Woebot Health, Wysa Ltd

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 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 Aiberry
    • 9.2.2 AiCure
    • 9.2.3 Big Health
    • 9.2.4 CognoaInc
    • 9.2.5 Ellipsis Health
    • 9.2.6 Flow Neuroscience
    • 9.2.7 Headspace Health
    • 9.2.8 Infinit Care Inc
    • 9.2.9 Kintsugi Mindful WellnessInc
    • 9.2.10 Limbic
    • 9.2.11 Lyra HealthInc
    • 9.2.12 MeQuilibrium Inc
    • 9.2.13 Meru Health Inc
    • 9.2.14 MindDoc (Schoen Clinic Group)
    • 9.2.15 Quartet HealthInc
    • 9.2.16 SilverCloud Health (Amwell)
    • 9.2.17 Spring Health Inc. (Spring Care, Inc.)
    • 9.2.18 Syra Health
    • 9.2.19 Woebot Health
    • 9.2.20 Wysa Ltd