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市場調查報告書
商品編碼
2044399

人工智慧驅動的心理健康支援解決方案市場預測至2034年：全球組件、平台、部署模式、技術、應用、最終用戶和區域分析

AI-Powered Mental Health Support Solutions Market Forecasts to 2034- Global Analysis By Component (Software and Services), Platform, Deployment Mode, Technology, Application, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 | 商品交期: 2-3個工作天內

價格

根據 Stratistics MRC 的數據，全球人工智慧心理健康支援解決方案市場預計將在 2026 年達到 22.3 億美元，在預測期內以 24.0% 的複合年成長率成長，到 2034 年達到 124.7 億美元。

人工智慧驅動的心理健康支援解決方案利用人工智慧、自然語言處理和機器學習演算法，提供個人化的心理關懷和情感支援。這些平台包括聊天機器人、虛擬治療師、情緒追蹤應用程式和預測分析工具，用於識別心理健康問題的早期徵兆。它們提供全天候服務、匿名性和擴充性，彌補了傳統醫療保健系統的不足。此類解決方案能夠加強早期療育、減少社會歧視，並透過數據驅動的洞察為臨床醫生提供支援。雖然它們不能取代人類治療師，但它們是促進心理健康和擴大醫療服務覆蓋範圍的重要補充工具。

全球精神健康負擔日益加重。

全球精神疾病盛行率的加速上升是推動人工智慧心理健康支持解決方案發展的主要動力。都市化、工作壓力和生活方式的改變導致壓力、焦慮、憂鬱症和職業倦怠等問題日益增多，而傳統醫療體系已難以應對。需求與可用醫療服務之間日益擴大的差距正促使人們轉向便利的數位化替代方案。人工智慧心理健康支持解決方案能夠提供即時、擴充性且無歧視的支持，正成為應對全球心理健康危機和促進持久心理健康的關鍵工具。

對隱私和資料安全的擔憂

儘管人工智慧心理健康支援解決方案具有巨大的普及潛力，但對隱私和資料安全的擔憂卻嚴重阻礙了其市場擴張。這些解決方案處理高度敏感的個人和情感數據，因此極易遭受濫用、資料外洩或未授權存取。使用者往往不願與人工智慧平台共用個人心理資訊。監管的不確定性以及缺乏標準化的資料保護框架進一步加劇了這些擔憂。如果沒有強大的加密技術、透明的資料政策和符合倫理的人工智慧管治，信任障礙將繼續阻礙其廣泛應用。

心理健康專業人員短缺

推動市場成長的關鍵機會之一是全球合格心理健康專業人員的短缺。在許多地區，尤其是在中低收入國家，人們難以獲得精神科醫生和治療師的服務。這使得可擴充性且價格合理的替代方案變得特別迫切。人工智慧驅動的心理健康支援解決方案能夠隨時隨地提供初步諮詢、情感支持和自助指導，從而幫助彌合這一缺口。這些方案將作為心理支持的第一道防線，在減輕醫療系統負擔的同時，擴大全球服務不足人口獲得心理健康服務的機會。

假訊息和有害反應的風險

市場面臨的主要威脅之一是人工智慧系統可能產生不準確、誤導或有害的回應。心理健康支援需要理解細微差別、具備同理心和臨床準確性，而聊天機器人可能缺乏這些能力。訓練不足的模型和演算法偏差可能導致不恰當的建議，甚至可能加重使用者的病情。此類失誤會損害信任、引發法律責任，並招致倫理問題。為了最大限度地降低這些風險，維護使用者安全和信任，確保臨床檢驗、持續監控和手動監督仍然至關重要。

新冠疫情的影響：

新冠疫情顯著加速了人工智慧心理健康支援解決方案在全球的應用。封鎖、隔離、對感染的恐懼以及經濟的不確定性導致焦慮、憂鬱症和心理困擾激增。同時，由於難以獲得面對面的心理治療，人們更加依賴數位心理健康工具。聊天機器人應運而生，成為至關重要的支援系統，提供全天候的幫助和情感支持。疫情永久改變了用戶的行為模式，使其轉向遠端保健解決方案，並將人工智慧心理健康支持解決方案確立為數位醫療生態系統的主流組成部分。

在預測期內，憂鬱症管理領域預計將佔據最大的市場佔有率。

對持續情感支持日益成長的需求預計將推動憂鬱症管理領域在預測期內佔據最大的市場佔有率。憂鬱症的管理通常需要持續監測和早期療育，而聊天機器人可以透過定期回訪、情緒追蹤和認知行為療法等方式有效地提供這些服務。聊天機器人能夠提供即時且非批判性的對話，這使得它們對於那些不願意接受傳統療法的用戶來說非常有效。這種擴充性和易用性已使該領域成為數位心理健康服務的重要支柱。

預計在預測期內，行動應用領域將呈現最高的複合年成長率。

在預測期內，行動應用領域預計將呈現最高的成長率，這主要得益於用戶對行動優先醫療保健解決方案日益成長的依賴。使用者希望隨時隨地都能輕鬆使用融入日常生活的心理健康工具。行動應用透過實現即時互動、個人化通知以及與穿戴式裝置的無縫整合，顯著提升了用戶參與度。人工智慧和雲端連接的持續進步也進一步推動了行動應用的普及。這種行動化主導的便利性正在將心理健康支援轉變為以用戶為中心的數位體驗，讓用戶隨時隨地都能獲得所需服務。

市佔率最大的地區：

在預測期內，北美預計將佔據最大的市場佔有率，這得益於人工智慧主導的醫療保健創新領域的大量投資以及遠端醫療服務的有利報銷機制。北美地區對心理健康的開放態度，以及壓力相關疾病的日益增多，將進一步推動市場需求。此外，主要參與者的存在將加速產品開發和部署，以鞏固該地區在全球市場中的主導地位。

複合年成長率最高的地區：

在預測期內，亞太地區預計將呈現最高的複合年成長率。這是因為快速的都市化、工作壓力和生活方式的改變導致全部區域對心理健康的關注日益提高。然而，由於訓練有素的專業人員資源有限，人們對聊天機器人等數位化替代方案的需求強勁。政府為推廣數位健康和​​擴大網路連線所做的努力也進一步推動了這一成長。該地區尚未開發的潛力使其成為未來心理健康聊天機器人應用的領先中心。

免費客製化服務：

所有購買此報告的客戶均可享受以下免費自訂選項之一：

  • 企業概況
    • 對其他市場參與者（最多 3 家公司）進行全面分析
    • 對主要公司進行SWOT分析（最多3家公司）
  • 區域細分
    • 應客戶要求，我們提供主要國家和地區的市場估算和預測，以及複合年成長率（註：需進行可行性檢查）。
  • 競爭性標竿分析
    • 根據產品系列、地理覆蓋範圍和策略聯盟對領先公司進行基準分析。

目錄

第1章：執行摘要

  • 市場概覽及主要亮點
  • 促進因素、挑戰與機遇
  • 競爭格局概述
  • 戰略洞察與建議

第2章：研究框架

  • 研究目標和範圍
  • 相關人員分析
  • 研究假設和限制
  • 調查方法

第3章 市場動態與趨勢分析

  • 市場定義與結構
  • 主要市場促進因素
  • 市場限制與挑戰
  • 投資成長機會和重點領域
  • 產業威脅與風險評估
  • 技術與創新展望
  • 新興市場/高成長市場
  • 監管和政策環境
  • 新冠疫情的影響及復甦前景

第4章：競爭環境與策略評估

  • 波特五力分析
    • 供應商的議價能力
    • 買方的議價能力
    • 替代品的威脅
    • 新進入者的威脅
    • 競爭公司之間的競爭
  • 主要公司市佔率分析
  • 產品基準評效和效能比較

第5章：全球人工智慧心理健康支援解決方案市場：按組件分類

  • 軟體
  • 服務

第6章：全球人工智慧驅動的心理健康支援解決方案市場：按平台分類

  • 行動應用
  • 網路為基礎的平台
  • 社群媒體平台
  • 通訊應用

第7章 全球人工智慧心理健康支援解決方案市場：按部署模式分類

  • 基於雲端的
  • 現場

第8章：全球人工智慧心理健康支援解決方案市場：按技術分類

  • 人工智慧（AI）
  • 自然語言處理（NLP）
  • 機器學習（ML）
  • 基於規則的系統

第9章：全球人工智慧心理健康支援解決方案市場：按應用領域分類

  • 焦慮和壓力管理
  • 憂鬱症管理
  • 創傷後壓力症候群與創傷支持
  • 冥想和正念
  • 行為療法（認知行為療法、辯證行為療法）
  • 藥物濫用支持

第10章：全球人工智慧心理健康支援解決方案市場：按最終用戶分類

  • 醫療服務提供方
  • 患者/個人
  • 雇主和企業健康計劃
  • 教育機構
  • 政府機構和非政府組織

第11章 全球人工智慧心理健康支援解決方案市場：按地區分類

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 英國
    • 德國
    • 法國
    • 義大利
    • 西班牙
    • 荷蘭
    • 比利時
    • 瑞典
    • 瑞士
    • 波蘭
    • 其他歐洲國家
  • 亞太地區
    • 中國
    • 日本
    • 印度
    • 韓國
    • 澳洲
    • 印尼
    • 泰國
    • 馬來西亞
    • 新加坡
    • 越南
    • 其他亞太國家
  • 南美洲
    • 巴西
    • 阿根廷
    • 哥倫比亞
    • 智利
    • 秘魯
    • 其他南美國家
  • 世界其他地區（RoW）
    • 中東
      • 沙烏地阿拉伯
      • 阿拉伯聯合大公國
      • 卡達
      • 以色列
      • 其他中東國家
    • 非洲
      • 南非
      • 埃及
      • 摩洛哥
      • 其他非洲國家

第12章 策略市場資訊

  • 工業價值網路和供應鏈評估
  • 空白區域和機會地圖
  • 產品演進與市場生命週期分析
  • 通路、經銷商和打入市場策略的評估

第13章 產業趨勢與策略舉措

  • 併購
  • 夥伴關係、聯盟和合資企業
  • 新產品發布和認證
  • 擴大生產能力和投資
  • 其他策略舉措

第14章：公司簡介

  • Woebot Health
  • Wysa Ltd
  • Headspace Health
  • Youper, Inc.
  • X2AI Inc.（Tess）
  • Ginger（Headspace Health）
  • Babylon Health
  • Ada Health
  • Sensely
  • Buoy Health
  • Limbic Limited
  • Marigold Health
  • Earkick
  • Lyra Health, Inc.
  • Quartet Health
Product Code: SMRC36188

According to Stratistics MRC, the Global AI-Powered Mental Health Support Solutions Market is accounted for $2.23 billion in 2026 and is expected to reach $12.47 billion by 2034 growing at a CAGR of 24.0% during the forecast period. AI-powered mental health support solutions utilize artificial intelligence, natural language processing, and machine learning algorithms to deliver personalized psychological care and emotional support. These platforms include chatbots, virtual therapists, mood tracking apps, and predictive analytics tools that identify early signs of mental health issues. By offering 24/7 accessibility, anonymity, and scalability, they bridge gaps in traditional mental healthcare systems. Such solutions enhance early intervention, reduce stigma, and support clinicians with data-driven insights. While not a replacement for human therapists, they serve as valuable complementary tools in promoting mental well-being and expanding access to care.

Market Dynamics:

Driver:

Rising global mental health burden

The accelerating prevalence of mental health disorders worldwide is a major catalyst for the growth of AI-Powered Mental Health Support Solutions. Increasing cases of stress, anxiety, depression, and burnout driven by urbanization, work pressure, and lifestyle changes-are overwhelming traditional healthcare systems. This widening gap between demand and available care is pushing individuals toward accessible digital alternatives. AI-Powered Mental Health Support Solutions offer immediate, scalable, and stigma-free support, making them an essential tool in addressing the global psychological health crisis and promoting continuous emotional well-being.

Restraint:

Privacy and data security concerns

Despite strong adoption potential, privacy and data security concerns significantly hinder market expansion. AI-Powered Mental Health Support Solutions handle highly sensitive personal and emotional data, making them vulnerable to misuse, breaches, or unauthorized access. Users often remain cautious about sharing intimate psychological details with AI-driven platforms. Regulatory uncertainties and lack of standardized data protection frameworks further intensify these concerns. Without robust encryption, transparent data policies, and ethical AI governance, trust barriers will continue to slow widespread adoption.

Opportunity:

Shortage of mental health professionals

A critical opportunity fueling market growth is the global shortage of qualified mental health professionals. Many regions, particularly low- and middle-income countries, face limited access to psychiatrists and therapists. This creates an urgent need for scalable, affordable alternatives. AI-Powered Mental Health Support Solutions help bridge this gap by offering preliminary counseling, emotional support, and self-help guidance anytime, anywhere. They act as a first line of psychological assistance, easing pressure on healthcare systems while expanding mental health accessibility to underserved populations across the world.

Threat:

Risk of misinformation or harmful responses

A significant threat facing the market is the risk of inaccurate, misleading, or even harmful responses generated by AI systems. Mental health support requires nuanced understanding, empathy, and clinical precision, which chatbots may sometimes lack. Poorly trained models or algorithmic bias can lead to inappropriate advice, worsening user conditions. Such failures can damage trust, trigger legal liabilities, and raise ethical concerns. Ensuring clinical validation, continuous monitoring, and human oversight remains critical to minimizing these risks and maintaining user safety and confidence.

Covid-19 Impact:

The COVID-19 pandemic significantly accelerated the adoption of AI-Powered Mental Health Support Solutions worldwide. Lockdowns, isolation, fear of infection, and economic uncertainty led to a sharp rise in anxiety, depression, and emotional distress. At the same time, in-person therapy became difficult to access, increasing reliance on digital mental health tools. Chatbots emerged as a vital support system, offering round-the-clock assistance and emotional engagement. The pandemic permanently shifted user behavior toward telehealth solutions, establishing AI-Powered Mental Health Support Solutions as a mainstream component of digital healthcare ecosystems.

The depression management segment is expected to be the largest during the forecast period

The depression management segment is expected to account for the largest market share during the forecast period, due to increasing demand for continuous emotional support. Depression often requires ongoing monitoring and early intervention, which chatbots can efficiently provide through regular check-ins, mood tracking, and cognitive behavioral techniques. Their ability to offer immediate, non-judgmental interaction makes them highly effective for users hesitant to seek traditional therapy. This scalability and accessibility position the segment as a key pillar of digital mental health care delivery.

The mobile applications segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the mobile applications segment is predicted to witness the highest growth rate, due to increasing dependence on mobile-first healthcare solutions. Users prefer convenient, on-the-go access to mental wellness tools integrated into their daily routines. Mobile apps enable real-time interaction, personalized notifications, and seamless integration with wearable devices, enhancing user engagement. Continuous advancements in AI and cloud connectivity further strengthen adoption. This mobility-driven accessibility is transforming mental health support into an always-available, user-centric digital experience.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share, due to region benefits from significant investment in AI-driven healthcare innovation and favorable reimbursement frameworks for telehealth services. A culturally open approach toward mental wellness, combined with rising stress-related disorders, further supports demand. Additionally, the presence of leading technology companies accelerates product development and deployment, reinforcing the region's dominance in the global market landscape.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR, owing to rapid urbanization, work-related stress, and evolving lifestyles are contributing to rising psychological health concerns across the region. However, limited access to trained professionals creates strong demand for digital alternatives like chatbots. Government initiatives promoting digital health and expanding internet connectivity further support growth. The region's untapped potential positions it as a major future hub for mental health chatbot adoption.

Key players in the market

Some of the key players in AI-Powered Mental Health Support Solutions Market include Woebot Health, Wysa Ltd, Headspace Health, Youper, Inc., X2AI Inc. (Tess), Ginger (Headspace Health), Babylon Health, Ada Health, Sensely, Buoy Health, Limbic Limited, Marigold Health, Earkick, Lyra Health, Inc. and Quartet Health.

Key Developments:

In February 2026, Care.com and Headspace have partnered to address the growing emotional burden faced by family caregivers, introducing mental health support alongside caregiving services. The initiative is designed to reduce stress, burnout, and cognitive overload through mindfulness tools and accessible wellness resources.

In February 2025, Anuvu has partnered with Headspace to deliver curated mindfulness and meditation content as part of inflight entertainment, aimed at reducing travel-related stress and anxiety.

Components Covered:

  • Software
  • Services

Platforms Covered:

  • Mobile Applications
  • Web-Based Platforms
  • Social Media Platforms
  • Messaging Applications

Deployment Modes Covered:

  • Cloud-Based
  • On-Premises

Technologies Covered:

  • Artificial Intelligence (AI)
  • Natural Language Processing (NLP)
  • Machine Learning (ML)
  • Rule-Based Systems

Applications Covered:

  • Anxiety & Stress Management
  • Depression Management
  • PTSD & Trauma Support
  • Meditation & Mindfulness
  • Behavioral Therapy (CBT, DBT)
  • Substance Abuse Support w

End Users Covered:

  • Healthcare Providers
  • Patients/Individuals
  • Employers & Corporate Wellness Programs
  • Educational Institutions
  • Government & NGOs

Regions Covered:

  • North America
    • United States
    • Canada
    • Mexico
  • Europe
    • United Kingdom
    • Germany
    • France
    • Italy
    • Spain
    • Netherlands
    • Belgium
    • Sweden
    • Switzerland
    • Poland
    • Rest of Europe
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Australia
    • Indonesia
    • Thailand
    • Malaysia
    • Singapore
    • Vietnam
    • Rest of Asia Pacific
  • South America
    • Brazil
    • Argentina
    • Colombia
    • Chile
    • Peru
    • Rest of South America
  • Rest of the World (RoW)
    • Middle East
      • Saudi Arabia
      • United Arab Emirates
      • Qatar
      • Israel
      • Rest of Middle East
    • Africa
      • South Africa
      • Egypt
      • Morocco
      • Rest of 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 2023, 2024, 2025, 2026, 2027, 2028, 2030, 2032 and 2034
  • 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

  • 1.1 Market Snapshot and Key Highlights
  • 1.2 Growth Drivers, Challenges, and Opportunities
  • 1.3 Competitive Landscape Overview
  • 1.4 Strategic Insights and Recommendations

2 Research Framework

  • 2.1 Study Objectives and Scope
  • 2.2 Stakeholder Analysis
  • 2.3 Research Assumptions and Limitations
  • 2.4 Research Methodology
    • 2.4.1 Data Collection (Primary and Secondary)
    • 2.4.2 Data Modeling and Estimation Techniques
    • 2.4.3 Data Validation and Triangulation
    • 2.4.4 Analytical and Forecasting Approach

3 Market Dynamics and Trend Analysis

  • 3.1 Market Definition and Structure
  • 3.2 Key Market Drivers
  • 3.3 Market Restraints and Challenges
  • 3.4 Growth Opportunities and Investment Hotspots
  • 3.5 Industry Threats and Risk Assessment
  • 3.6 Technology and Innovation Landscape
  • 3.7 Emerging and High-Growth Markets
  • 3.8 Regulatory and Policy Environment
  • 3.9 Impact of COVID-19 and Recovery Outlook

4 Competitive and Strategic Assessment

  • 4.1 Porter's Five Forces Analysis
    • 4.1.1 Supplier Bargaining Power
    • 4.1.2 Buyer Bargaining Power
    • 4.1.3 Threat of Substitutes
    • 4.1.4 Threat of New Entrants
    • 4.1.5 Competitive Rivalry
  • 4.2 Market Share Analysis of Key Players
  • 4.3 Product Benchmarking and Performance Comparison

5 Global AI-Powered Mental Health Support Solutions Market, By Component

  • 5.1 Software
  • 5.2 Services

6 Global AI-Powered Mental Health Support Solutions Market, By Platform

  • 6.1 Mobile Applications
  • 6.2 Web-Based Platforms
  • 6.3 Social Media Platforms
  • 6.4 Messaging Applications

7 Global AI-Powered Mental Health Support Solutions Market, By Deployment Mode

  • 7.1 Cloud-Based
  • 7.2 On-Premises

8 Global AI-Powered Mental Health Support Solutions Market, By Technology

  • 8.1 Artificial Intelligence (AI)
  • 8.2 Natural Language Processing (NLP)
  • 8.3 Machine Learning (ML)
  • 8.4 Rule-Based Systems

9 Global AI-Powered Mental Health Support Solutions Market, By Application

  • 9.1 Anxiety & Stress Management
  • 9.2 Depression Management
  • 9.3 PTSD & Trauma Support
  • 9.4 Meditation & Mindfulness
  • 9.5 Behavioral Therapy (CBT, DBT)
  • 9.6 Substance Abuse Support

10 Global AI-Powered Mental Health Support Solutions Market, By End User

  • 10.1 Healthcare Providers
  • 10.2 Patients/Individuals
  • 10.3 Employers & Corporate Wellness Programs
  • 10.4 Educational Institutions
  • 10.5 Government & NGOs

11 Global AI-Powered Mental Health Support Solutions Market, By Geography

  • 11.1 North America
    • 11.1.1 United States
    • 11.1.2 Canada
    • 11.1.3 Mexico
  • 11.2 Europe
    • 11.2.1 United Kingdom
    • 11.2.2 Germany
    • 11.2.3 France
    • 11.2.4 Italy
    • 11.2.5 Spain
    • 11.2.6 Netherlands
    • 11.2.7 Belgium
    • 11.2.8 Sweden
    • 11.2.9 Switzerland
    • 11.2.10 Poland
    • 11.2.11 Rest of Europe
  • 11.3 Asia Pacific
    • 11.3.1 China
    • 11.3.2 Japan
    • 11.3.3 India
    • 11.3.4 South Korea
    • 11.3.5 Australia
    • 11.3.6 Indonesia
    • 11.3.7 Thailand
    • 11.3.8 Malaysia
    • 11.3.9 Singapore
    • 11.3.10 Vietnam
    • 11.3.11 Rest of Asia Pacific
  • 11.4 South America
    • 11.4.1 Brazil
    • 11.4.2 Argentina
    • 11.4.3 Colombia
    • 11.4.4 Chile
    • 11.4.5 Peru
    • 11.4.6 Rest of South America
  • 11.5 Rest of the World (RoW)
    • 11.5.1 Middle East
      • 11.5.1.1 Saudi Arabia
      • 11.5.1.2 United Arab Emirates
      • 11.5.1.3 Qatar
      • 11.5.1.4 Israel
      • 11.5.1.5 Rest of Middle East
    • 11.5.2 Africa
      • 11.5.2.1 South Africa
      • 11.5.2.2 Egypt
      • 11.5.2.3 Morocco
      • 11.5.2.4 Rest of Africa

12 Strategic Market Intelligence

  • 12.1 Industry Value Network and Supply Chain Assessment
  • 12.2 White-Space and Opportunity Mapping
  • 12.3 Product Evolution and Market Life Cycle Analysis
  • 12.4 Channel, Distributor, and Go-to-Market Assessment

13 Industry Developments and Strategic Initiatives

  • 13.1 Mergers and Acquisitions
  • 13.2 Partnerships, Alliances, and Joint Ventures
  • 13.3 New Product Launches and Certifications
  • 13.4 Capacity Expansion and Investments
  • 13.5 Other Strategic Initiatives

14 Company Profiles

  • 14.1 Woebot Health
  • 14.2 Wysa Ltd
  • 14.3 Headspace Health
  • 14.4 Youper, Inc.
  • 14.5 X2AI Inc. (Tess)
  • 14.6 Ginger (Headspace Health)
  • 14.7 Babylon Health
  • 14.8 Ada Health
  • 14.9 Sensely
  • 14.10 Buoy Health
  • 14.11 Limbic Limited
  • 14.12 Marigold Health
  • 14.13 Earkick
  • 14.14 Lyra Health, Inc.
  • 14.15 Quartet Health

List of Tables

  • Table 1 Global AI-Powered Mental Health Support Solutions Market Outlook, By Region (2023-2034) ($MN)
  • Table 2 Global AI-Powered Mental Health Support Solutions Market Outlook, By Component (2023-2034) ($MN)
  • Table 3 Global AI-Powered Mental Health Support Solutions Market Outlook, By Software (2023-2034) ($MN)
  • Table 4 Global AI-Powered Mental Health Support Solutions Market Outlook, By Services (2023-2034) ($MN)
  • Table 5 Global AI-Powered Mental Health Support Solutions Market Outlook, By Platform (2023-2034) ($MN)
  • Table 6 Global AI-Powered Mental Health Support Solutions Market Outlook, By Mobile Applications (2023-2034) ($MN)
  • Table 7 Global AI-Powered Mental Health Support Solutions Market Outlook, By Web-Based Platforms (2023-2034) ($MN)
  • Table 8 Global AI-Powered Mental Health Support Solutions Market Outlook, By Social Media Platforms (2023-2034) ($MN)
  • Table 9 Global AI-Powered Mental Health Support Solutions Market Outlook, By Messaging Applications (2023-2034) ($MN)
  • Table 10 Global AI-Powered Mental Health Support Solutions Market Outlook, By Deployment Mode (2023-2034) ($MN)
  • Table 11 Global AI-Powered Mental Health Support Solutions Market Outlook, By Cloud-Based (2023-2034) ($MN)
  • Table 12 Global AI-Powered Mental Health Support Solutions Market Outlook, By On-Premises (2023-2034) ($MN)
  • Table 13 Global AI-Powered Mental Health Support Solutions Market Outlook, By Technology (2023-2034) ($MN)
  • Table 14 Global AI-Powered Mental Health Support Solutions Market Outlook, By Artificial Intelligence (AI) (2023-2034) ($MN)
  • Table 15 Global AI-Powered Mental Health Support Solutions Market Outlook, By Natural Language Processing (NLP) (2023-2034) ($MN)
  • Table 16 Global AI-Powered Mental Health Support Solutions Market Outlook, By Machine Learning (ML) (2023-2034) ($MN)
  • Table 17 Global AI-Powered Mental Health Support Solutions Market Outlook, By Rule-Based Systems (2023-2034) ($MN)
  • Table 18 Global AI-Powered Mental Health Support Solutions Market Outlook, By Application (2023-2034) ($MN)
  • Table 19 Global AI-Powered Mental Health Support Solutions Market Outlook, By Anxiety & Stress Management (2023-2034) ($MN)
  • Table 20 Global AI-Powered Mental Health Support Solutions Market Outlook, By Depression Management (2023-2034) ($MN)
  • Table 21 Global AI-Powered Mental Health Support Solutions Market Outlook, By PTSD & Trauma Support (2023-2034) ($MN)
  • Table 22 Global AI-Powered Mental Health Support Solutions Market Outlook, By Meditation & Mindfulness (2023-2034) ($MN)
  • Table 23 Global AI-Powered Mental Health Support Solutions Market Outlook, By Behavioral Therapy (CBT, DBT) (2023-2034) ($MN)
  • Table 24 Global AI-Powered Mental Health Support Solutions Market Outlook, By Substance Abuse Support (2023-2034) ($MN)
  • Table 25 Global AI-Powered Mental Health Support Solutions Market Outlook, By End User (2023-2034) ($MN)
  • Table 26 Global AI-Powered Mental Health Support Solutions Market Outlook, By Healthcare Providers (2023-2034) ($MN)
  • Table 27 Global AI-Powered Mental Health Support Solutions Market Outlook, By Patients/Individuals (2023-2034) ($MN)
  • Table 28 Global AI-Powered Mental Health Support Solutions Market Outlook, By Employers & Corporate Wellness Programs (2023-2034) ($MN)
  • Table 29 Global AI-Powered Mental Health Support Solutions Market Outlook, By Educational Institutions (2023-2034) ($MN)
  • Table 30 Global AI-Powered Mental Health Support Solutions Market Outlook, By Government & NGOs (2023-2034) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Rest of the World (RoW) are also represented in the same manner as above.