メンタルヘルスにおけるAIの世界市場 - 2024年～2031年

メンタルヘルスにおけるAIの世界市場は、2023年に16億1,000万米ドルに達し、2031年には82億1,000万米ドルに達すると予測され、予測期間2024年～2031年のCAGRは22.8%で成長すると予測されます。

メンタルヘルスにおけるAIの世界市場は、診断、治療、支援サービスなど、メンタルヘルスケアのさまざまな側面に人工知能技術を統合することを指します。この市場は、チャットボット、バーチャルセラピスト、予測分析などのAIツールを活用して、メンタルヘルス介入へのアクセシビリティと有効性を高める。

メンタルヘルスにおけるAIの世界市場は、メンタルヘルス障害の理解、診断、治療を改善するために、計算技術やアルゴリズムを使用することを包含しています。メンタルヘルスリソースへのアクセシビリティを高め、個々のニーズに合わせた個別ケアを提供することを目的としたデジタルヘルスケアソリューションとして機能します。

メンタルヘルスにおけるAI会話型インターフェースとは、AIを搭載したチャットボットやバーチャルセラピストがリアルタイムでユーザーと会話し、即時のサポートや対処法を提供するもの、データパターンを分析してメンタルヘルス問題の早期指標を特定し、タイムリーな介入を促進する予測分析ツール、ユーザーデータを評価してメンタルヘルス状態に関連する行動変化を検出する行動パターン認識AIシステムなどです。これらの要因が、メンタルヘルスにおけるAIの世界市場の拡大を後押ししています。

市場力学：

促進要因と抑制要因

メンタルヘルス障害の有病率の増加

メンタルヘルス疾患の有病率の増加は、メンタルヘルスにおけるAIの世界市場の成長を大きく牽引しており、市場予測期間を通じて牽引していくと予想されます。

不安、うつ病、心的外傷後ストレス障害（PTSD）などのメンタルヘルス疾患と診断される個人の数が大幅に増加しています。このようなニーズの高まりを受けて、AI技術は、メンタルヘルスケアへのアクセスを強化し、治療成果を向上させることができるスケーラブルなソリューションを提供しています。これらすべての要因がメンタルヘルスにおけるAIの世界市場を需要としています。

例えば、2023年10月のニュース「Ellipsis Health」によると、世界人口の約半数が75歳までに少なくとも1種類のメンタルヘルス障害を経験すると予測されています。このような高い有病率にもかかわらず、症状の発現から治療開始までの平均11年の遅れが懸念されます。

さらに、精神疾患を患う人の50％以上が、いかなる治療も受けていないです。未治療の精神疾患の経済的影響は驚異的で、米国では年間3,000億米ドル近い費用がかかっています。このような状況は、メンタルヘルス障害に関連する個人的負担と社会的負担の両方に対処するために、メンタルヘルスに対する意識の向上、早期介入戦略、利用しやすい治療法の選択肢が緊急に必要であることを強調しています。このように、これらすべての要因がメンタルヘルスにおけるAIを必要としています。

さらに、パートナーシップやコラボレーション、投資などの主要企業の戦略は、このメンタルヘルスにおけるAIの世界市場を牽引するでしょう。例えば、2023年10月、Ellipsisヘルスケアは、アンビエント医療文書化ソリューションで知られるヘルスケアテクノロジー企業Augmedixとの戦略的提携を発表しました。この提携は、AIを活用したメンタルヘルス・スクリーニングを臨床に統合し、医療提供者がメンタルヘルス上の問題を早期に発見し対処できるようにすることで、医療提供を大幅に強化することを目的としています。

また、2024年7月には、フォーチュン誌の記事で、AIを活用したメンタルヘルス・スタートアップであるスプリング・ヘルスが、シリーズE資金調達ラウンドで1億米ドルの資金調達に成功したという重要なマイルストーンが紹介されています。この資金調達により、同社の評価額は33億米ドルとなり、メンタルヘルス・テクノロジー分野における同社の急成長と注目度の高まりを反映しています。これらすべての要因が、メンタルヘルスにおけるAIの世界市場に需要をもたらしています。

さらに、アクセシビリティの向上に対する需要の高まりも、メンタルヘルスにおけるAIの世界市場の拡大に寄与しています。

データプライバシーとセキュリティへの懸念

データプライバシーとセキュリティへの懸念は、メンタルヘルスにおけるAIの世界市場の成長を妨げるでしょう。メンタルヘルスにおけるAIの世界市場における最も重要な課題の1つは、機密性の高い患者情報の管理です。AIシステムは、正確な評価や介入を行うために個人データへのアクセスに依存しており、データプライバシーやセキュリティ侵害のリスクに関する重要な懸念が生じる。

米国のHIPAA（Health Insurance Portability and Accountability Act）や欧州のGDPR（General Data Protection Regulation）といった厳しい規制への対応は、AIソリューションの導入に複雑さをもたらしています。ヘルスケアプロバイダーは、患者情報を効果的に保護するための強固なデータ保護対策を確立しなければならないです。

2024年のA Vinove Companyのデータによると、AIチャットボットを通じて機密性の高いメンタルヘルス情報を扱う場合、プライバシーに関する重大な懸念が生じる。GDPRやHIPAAなどの規制に準拠し、すべてのやり取りが暗号化され、安全に保存されるようにすることが極めて重要です。チャットボットは効果的にサポートを提供できるが、人間の複雑な感情を完全に理解するのに苦労することが多いです。この限界は、より複雑な状況において誤解や不十分な対応につながる可能性があります。したがって、上記の要因がメンタルヘルスにおけるAIの世界市場の潜在的な成長を制限している可能性があります。

目次

第1章 調査手法と調査範囲

第2章 定義と概要

第3章 エグゼクティブサマリー

第4章 市場力学

• 影響要因
  • 促進要因
    • 精神疾患の増加
  • 抑制要因
    • データのプライバシーとセキュリティに関する懸念
  • 機会
  • 影響分析

第5章 産業分析

• ポーターのファイブフォース分析
• サプライチェーン分析
• 価格分析
• 特許分析
• 規制分析
• SWOT分析
• アンメットニーズ

第6章 コンポーネント別

• ソフトウェア
• サービス

第7章 技術別

• 機械学習
• ディープラーニング
• 自然言語処理
• その他

第8章 用途別

• 不安
• うつ
• 統合失調症
• 心的外傷後ストレス障害（PTSD）
• 不眠症
• その他

第9章 エンドユーザー別

• 病院と診療所
• メンタルヘルスセンター
• その他

第10章 地域別

• 北米
  • 米国
  • カナダ
  • メキシコ
• 欧州
  • ドイツ
  • 英国
  • フランス
  • スペイン
  • イタリア
  • その他欧州地域
• 南米
  • ブラジル
  • アルゼンチン
  • その他南米
• アジア太平洋地域
  • 中国
  • インド
  • 日本
  • 韓国
  • その他アジア太平洋地域
• 中東・アフリカ

第11章 競合情勢

• 競合シナリオ
• 市況・シェア分析
• M&A分析

第12章 企業プロファイル

• Woebot Health
  • 会社概要
  • 製品ポートフォリオと概要
  • 財務概要
  • 主な発展
• Wysa Ltd
• BetterHelp
• Lyra Health, Inc.
• Talkspace, Inc.
• Spring Care, Inc.
• Syra Health
• Limbic
• Ellipsis Health, Inc.
• Aiberry

第13章 付録

The global AI in mental health market reached US$ 1.61 billion in 2023 and is expected to reach US$ 8.21 billion by 2031, growing at a CAGR of 22.8% during the forecast period 2024-2031.

The AI in mental health market refers to integrating artificial intelligence technologies into various aspects of mental health care, including diagnosis, treatment, and support services. This market leverages AI tools such as chatbots, virtual therapists, and predictive analytics to enhance the accessibility and effectiveness of mental health interventions.

AI in mental health encompasses using computational technologies and algorithms to improve the understanding, diagnosis, and treatment of mental health disorders. It serves as a digital healthcare solution aimed at increasing accessibility to mental health resources and providing personalized care tailored to individual needs.

AI in mental health conversational interfaces are AI-powered chatbots and virtual therapists that engage users in real-time conversations, offering immediate support and coping strategies, predictive analytics tools that analyze data patterns to identify early indicators of mental health issues, facilitating timely interventions, and behavioral pattern recognition AI systems that assess user data to detect behavioral changes associated with mental health conditions. These factors have driven the expansion of global AI in the mental health market.

Market Dynamics: Drivers & Restraints

Increasing Prevalence of Mental Health Disorders

The increasing prevalence of mental health disorders is significantly driving the growth of the global AI in mental health market and is expected to drive throughout the market forecast period.

There has been a significant increase in the number of individuals diagnosed with mental health conditions such as anxiety, depression, and post-traumatic stress disorder (PTSD). In response to this growing need, AI technologies offer scalable solutions that can enhance access to mental health care and improve treatment outcomes. All these factors demand the AI in mental health market.

For instance, according to the Ellipsis Health, news in October 2023, approximately half of the global population is projected to experience at least one type of mental health disorder by the age of 75. Despite this high prevalence, there is a concerning average delay of 11 years between the onset of symptoms and the initiation of treatment.

Furthermore, over 50% of individuals suffering from mental health conditions do not receive any form of treatment. The economic impact of untreated mental illness is staggering, costing the United States nearly $300 billion annually. This situation underscores the urgent need for improved mental health awareness, early intervention strategies, and accessible treatment options to address both the personal and societal burdens associated with mental health disorders. Thus all these factors demand AI in mental health.

Furthermore, key players' strategies such as partnerships & collaborations, and investments would drive this AI in mental health market. For instance, in October 2023, Ellipsis Health announced a strategic partnership with Augmedix, a healthcare technology company known for its ambient medical documentation solutions. This collaboration aims to integrate AI-driven mental health screenings into clinical encounters, significantly enhancing healthcare delivery by allowing providers to identify and address mental health issues earlier.

Also, in July 2024, an article from Fortune highlights a significant milestone for Spring Health, an AI-powered mental health startup, which has successfully raised $100 million in a Series E funding round. This funding has propelled the company's valuation to an impressive $3.3 billion, reflecting its rapid growth and increasing prominence in the mental health technology sector. All these factors demand the global AI in mental health market.

Moreover, the rising demand for the enhanced accessibility contributes to the global AI in mental health market expansion.

Data Privacy and Security Concerns

Data privacy and security concerns will hinder the growth of global AI in mental health market. One of the most significant challenges in the AI in mental health market is the management of sensitive patient information. AI systems rely on access to personal data to deliver accurate assessments and interventions, which raises important concerns regarding data privacy and the risk of security breaches.

Compliance with stringent regulations, such Health Insurance Portability and Accountability Act (HIPAA) in the U.S. and the General Data Protection Regulation (GDPR) in Europe, adds complexity to the implementation of AI solutions. Healthcare providers must ensure that robust data protection measures are established to safeguard patient information effectively.

According to data from A Vinove Company in 2024, significant privacy concerns arise when handling sensitive mental health information through AI chatbots. It is crucial to ensure that all interactions are encrypted and securely stored, in compliance with regulations such as GDPR and HIPAA. While chatbots can effectively provide support, they often struggle to fully understand the complexities of human emotions. This limitation can lead to misunderstandings or inadequate responses in more complex situations. Thus, the above factors could be limiting the global AI in mental health market's potential growth.

Segment Analysis

The global AI in mental health market is segmented based on component, technology, application, end-user, and region.

Component:

The software segment is expected to dominate the global AI in mental health market share

The software segment holds a major portion of the global AI in mental health market share and is expected to continue to hold a significant portion of the global AI in mental health market share during the forecast period.

The software segment in the AI in mental health market is essential for enhancing the delivery and effectiveness of mental health interventions. This segment includes a variety of AI-powered applications and tools specifically designed to improve mental health care, making it more accessible and personalized for users.

AI-driven mental health software is increasingly being integrated into telehealth platforms, enabling users to easily access mental health professionals and resources. This integration facilitates remote consultations, making mental health care more convenient and accessible, especially for individuals in underserved areas.

AI in mental health rise of mobile applications allows users to engage with mental health resources anytime and anywhere. These apps often feature self-assessment tools, chatbots for immediate support, and personalized treatment plans, catering to a wide range of user needs. AI in mental health software utilizes advanced algorithms to analyze user data and provide tailored recommendations based on individual needs. This personalization enhances treatment effectiveness by addressing specific mental health concerns and preferences.

Furthermore, key players in the industry product launches that would drive this global AI in mental health market growth. For instance, in October 2024, Manah launched a curated AI-based copilot designed to enhance mental well-being, marking a significant advancement in the field of mental health technology. This innovative solution aims to provide users with personalized support and resources to help them manage their mental health effectively.

Also, in April 2024, NextGen Healthcare announced the availability of its AI-driven ambient listening solution, NextGen Ambient Assist, specifically for psychiatrists and other prescribers in the behavioral health space.

This development comes at a crucial time as the health-tech industry seeks innovative solutions to address the national shortage of mental and behavioral health professionals. The digital health promoter is equipped to provide information across a wide range of health topics, including healthy habits and mental health. These factors have solidified the segment's position in the global AI in mental health market growth.

Geographical Analysis

North America is expected to hold a significant position in the global AI in mental health market share

North America holds a substantial position in the global AI in mental health market and is expected to hold most of the market share.

The rising incidence of mental health disorders drives the global AI in mental health market growth. According to the National Center for Biotechnology Information (NCBI) data In 2022, an estimated 59.3 million adults aged 18 and older in the United States experienced any mental illness (AMI), representing 23.1% of the total adult population. The prevalence of AMI was notably higher among females, with 26.4% affected compared to 19.7% of males. Young adults aged 18 to 25 years exhibited the highest prevalence at 36.2%, followed by adults aged 26 to 49 years at 29.4%, and those aged 50 and older at 13.9%.

North America, particularly the United States, is leading the way in the adoption of AI technologies within the healthcare sector. The integration of AI into mental health services significantly improves diagnostic accuracy and treatment effectiveness, making it an appealing option for healthcare providers aiming to enhance patient outcomes.

Furthermore, in this region, a major number of key players' presence, government initiatives & regulatory support, partnerships & collaborations, and product launches would propel these global AI in mental health market growth. For instance, in SAN FRANCISCO, in June 2024, Ellipsis Health partnered with Pega to innovate in the healthcare sector by developing AI-powered behavioral health solutions. This collaboration aims to enhance mental health services through advanced technology, leveraging AI to improve patient care and outcomes. This partnership focuses on utilizing AI to analyze vast amounts of behavioral health data.

Also, in November 2024, Jimini Health launched with $8 million in pre-seed funding, aiming to revolutionize mental health care through a unique AI-assisted therapy model. This New York-based startup combines the expertise of licensed clinicians with an AI therapist assistant named Sage to provide continuous, personalized support for patients.

Thus, the above factors are consolidating the region's position as a dominant force in the global AI in mental health market.

Asia Pacific is growing at the fastest pace in the global AI in mental health market share

Asia Pacific holds the fastest pace in the global AI in mental health market and is expected to hold most of the market share.

The increasing prevalence of mental health disorders, including depression, anxiety, and stress-related conditions, has created a substantial demand for effective AI in mental health services across Asia Pacific countries. According to the National Center for Biotechnology Information (NCBI) data In 2022, the prevalence of any mental illness (AMI) was highest among adults identifying as two or more races, at 35.2%, followed by White adults at 24.6%. In contrast, the prevalence of AMI was lowest among Asian adults, recorded at 16.8%. As awareness of these issues grows, there is an urgent need for accessible and efficient treatment options to address the rising burden of mental illness.

Countries such as China and India are heavily investing in AI technologies across various sectors, including healthcare. The integration of AI into mental health services enhances diagnostic capabilities and treatment options, making care more personalized and effective. This trend is supported by government initiatives aimed at fostering innovation in digital health solutions.

Rapid advancements in AI technologies, particularly in natural language processing (NLP) and machine learning, have led to the development of sophisticated tools that can analyze user interactions and provide tailored support. These technologies enable applications such as AI chatbots and virtual therapists to deliver real-time assistance, improving access to mental health care.

Furthermore, key players in the industry product launches that would drive this AI in mental health market growth. For instance, in October 2024, the launch of Healo, an AI therapist developed by Infiheal, represents a significant advancement in mental health technology. Unveiled at the Bengaluru Tech Summit 2024, this innovative product aims to address global mental health challenges by providing accessible and affordable support. The event attracted notable tech leaders and government officials, including Prime Minister Narendra Modi, who praised Healo during his National Address.

Also, in April 2024, in New Delhi, Fortis Healthcare launched an innovative AI-powered mental healthcare app called Adayu, developed in collaboration with the deep-tech company United We Care. This initiative aims to enhance mental health support and accessibility for individuals seeking help. Thus, the above factors are consolidating the region's position as the fastest-growing force in the global AI in mental health market.

Competitive Landscape

The major global players in the AI in mental health market include Woebot Health, Wysa Ltd, BetterHelp, Lyra Health, Inc., Talkspace, Inc., Spring Care, Inc., Syra Health, Limbic, Ellipsis Health, Inc., and Aiberry among others.

Key Developments

• In October 2024, MassMutual launched an innovative AI-powered mental health app called Wysa Assure, becoming the first U.S. insurer to offer such a service to its policyholders. This initiative is part of MassMutual's broader Health and Wellness Program, which aims to enhance the overall well-being of its clients by addressing both physical and mental health needs.
• In April 2024, In anticipation of World Health Day, themed "My Health, My Right," the World Health Organization (WHO) introduced S.A.R.A.H., an innovative digital health promoter prototype powered by generative artificial intelligence (AI). S.A.R.A.H., which stands for Smart AI Resource Assistant for Health, represents a significant advancement in AI-driven health information avatars, utilizing cutting-edge language models to enhance empathetic responses.

Why Purchase the Report?

• Pipeline & Innovations: Reviews ongoing clinical trials, and product pipelines, and forecasts upcoming advancements in medical devices and pharmaceuticals.
• Product Performance & Market Positioning: Analyzes product performance, market positioning, and growth potential to optimize strategies.
• Real-World Evidence: Integrates patient feedback and data into product development for improved outcomes.
• Physician Preferences & Health System Impact: Examines healthcare provider behaviors and the impact of health system mergers on adoption strategies.
• Market Updates & Industry Changes: Covers recent regulatory changes, new policies, and emerging technologies.
• Competitive Strategies: Analyzes competitor strategies, market share, and emerging players.
• Pricing & Market Access: Reviews pricing models, reimbursement trends, and market access strategies.
• Market Entry & Expansion: Identifies optimal strategies for entering new markets and partnerships.
• Regional Growth & Investment: Highlights high-growth regions and investment opportunities.
• Supply Chain Optimization: Assesses supply chain risks and distribution strategies for efficient product delivery.
• Sustainability & Regulatory Impact: Focuses on eco-friendly practices and evolving regulations in healthcare.
• Post-market Surveillance: Uses post-market data to enhance product safety and access.
• Pharmacoeconomics & Value-Based Pricing: Analyzes the shift to value-based pricing and data-driven decision-making in R&D.

The global AI in mental health market report delivers a detailed analysis with 60+ key tables, more than 50 visually impactful figures, and 176 pages of expert insights, providing a complete view of the market landscape.

Target Audience 2023

• Manufacturers: Pharmaceutical, Medical Device, Biotech Companies, Contract Manufacturers, Distributors, Hospitals.
• Regulatory & Policy: Compliance Officers, Government, Health Economists, Market Access Specialists.
• Technology & Innovation: AI/Robotics Providers, R&D Professionals, Clinical Trial Managers, Pharmacovigilance Experts.
• Investors: Healthcare Investors, Venture Fund Investors, Pharma Marketing & Sales.
• Consulting & Advisory: Healthcare Consultants, Industry Associations, Analysts.
• Supply Chain: Distribution and Supply Chain Managers.
• Consumers & Advocacy: Patients, Advocacy Groups, Insurance Companies.
• Academic & Research: Academic Institutions.

Table of Contents

1. Methodology and Scope

• 1.1. Research Methodology
• 1.2. Research Objective and Scope of the Report

2. Definition and Overview

3. Executive Summary

• 3.1. Snippet by Component
• 3.2. Snippet by Technology
• 3.3. Snippet by Application
• 3.4. Snippet by End-User
• 3.5. Snippet by Region

4. Dynamics

• 4.1. Impacting Factors
  • 4.1.1. Drivers
    • 4.1.1.1. Increasing Prevalence of Mental Health Disorders
  • 4.1.2. Restraints
    • 4.1.2.1. Data Privacy and Security Concerns
  • 4.1.3. Opportunity
  • 4.1.4. Impact Analysis

5. Industry Analysis

• 5.1. Porter's Five Force Analysis
• 5.2. Supply Chain Analysis
• 5.3. Pricing Analysis
• 5.4. Patent Analysis
• 5.5. Regulatory Analysis
• 5.6. SWOT Analysis
• 5.7. Unmet Needs

6. By Component

• 6.1. Introduction
  • 6.1.1. Analysis and Y-o-Y Growth Analysis (%), By Component
  • 6.1.2. Market Attractiveness Index, By Component
• 6.2. Software *
  • 6.2.1. Introduction
  • 6.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
• 6.3. Services

7. By Technology

• 7.1. Introduction
  • 7.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
  • 7.1.2. Market Attractiveness Index, By Technology
• 7.2. Machine Learning *
  • 7.2.1. Introduction
  • 7.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
• 7.3. Deep learning
• 7.4. Natural Language Processing
• 7.5. Others

8. By Application

• 8.1. Introduction
  • 8.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
  • 8.1.2. Market Attractiveness Index, By Application
• 8.2. Anxiety*
  • 8.2.1. Introduction
  • 8.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
• 8.3. Depression
• 8.4. Schizophrenia
• 8.5. Post-Traumatic Stress Disorder (PTSD)
• 8.6. Insomnia
• 8.7. Others

9. By End-User

• 9.1. Introduction
  • 9.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
  • 9.1.2. Market Attractiveness Index, By End-User
• 9.2. Hospitals and Clinics*
  • 9.2.1. Introduction
  • 9.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
• 9.3. Mental Health Centers
• 9.4. Others

10. By Region

• 10.1. Introduction
  • 10.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Region
  • 10.1.2. Market Attractiveness Index, By Region
• 10.2. North America
  • 10.2.1. Introduction
  • 10.2.2. Key Region-Specific Dynamics
  • 10.2.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
  • 10.2.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
  • 10.2.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
  • 10.2.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
  • 10.2.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
    • 10.2.7.1. U.S.
    • 10.2.7.2. Canada
    • 10.2.7.3. Mexico
• 10.3. Europe
  • 10.3.1. Introduction
  • 10.3.2. Key Region-Specific Dynamics
  • 10.3.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
  • 10.3.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
  • 10.3.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
  • 10.3.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
  • 10.3.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
    • 10.3.7.1. Germany
    • 10.3.7.2. U.K.
    • 10.3.7.3. France
    • 10.3.7.4. Spain
    • 10.3.7.5. Italy
    • 10.3.7.6. Rest of Europe
• 10.4. South America
  • 10.4.1. Introduction
  • 10.4.2. Key Region-Specific Dynamics
  • 10.4.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
  • 10.4.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
  • 10.4.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
  • 10.4.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
  • 10.4.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
    • 10.4.7.1. Brazil
    • 10.4.7.2. Argentina
    • 10.4.7.3. Rest of South America
• 10.5. Asia-Pacific
  • 10.5.1. Introduction
  • 10.5.2. Key Region-Specific Dynamics
  • 10.5.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
  • 10.5.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
  • 10.5.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
  • 10.5.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
  • 10.5.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
    • 10.5.7.1. China
    • 10.5.7.2. India
    • 10.5.7.3. Japan
    • 10.5.7.4. South Korea
    • 10.5.7.5. Rest of Asia-Pacific
• 10.6. Middle East and Africa
  • 10.6.1. Introduction
  • 10.6.2. Key Region-Specific Dynamics
  • 10.6.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
  • 10.6.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
  • 10.6.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
  • 10.6.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User

11. Competitive Landscape

• 11.1. Competitive Scenario
• 11.2. Market Positioning/Share Analysis
• 11.3. Mergers and Acquisitions Analysis

12. Company Profiles

• 12.1. Woebot Health*
  • 12.1.1. Company Overview
  • 12.1.2. Product Portfolio and Description
  • 12.1.3. Financial Overview
  • 12.1.4. Key Developments
• 12.2. Wysa Ltd
• 12.3. BetterHelp
• 12.4. Lyra Health, Inc.
• 12.5. Talkspace, Inc.
• 12.6. Spring Care, Inc.
• 12.7. Syra Health
• 12.8. Limbic
• 12.9. Ellipsis Health, Inc.
• 12.10. Aiberry

LIST NOT EXHAUSTIVE

13. Appendix

• 13.1. About Us and Services
• 13.2. Contact Us