目次
1. 方法論と範囲
1.1. 調査方法
1.2. 調査目的とレポートの範囲
2. 定義と概要
3. エグゼクティブサマリー
3.1. テクノロジー別
3.2. コンポーネント別
3.3. 用途別
3.4. 地域別
4. 動向
4.1. 影響因子
4.1.1. 推進要因
4.1.1.1. アクセシブルなメンタルヘルスサービスの需要増大
4.1.1.2. XX
4.1.2. 抑制要因
4.1.2.1. プライバシーとデータセキュリティに関する懸念
4.1.3. 機会
4.1.4. 影響分析
5. 産業分析
5.1. ポーターのファイブフォース分析
5.2. サプライチェーン分析
5.3. 価格分析
5.4. 特許分析
5.5. 規制分析
5.6. SWOT分析
5.7. 未充足ニーズ
6. 技術別
6.1. はじめに
6.1.1. 分析と前年比成長率分析（％）、技術別
6.1.2. 市場魅力度指数、技術別
6.2. 自然言語処理（NLP）*
6.2.1. はじめに
6.2.2. 市場規模分析と前年比成長率分析（％）
6.3. 機械学習（ML）
6.4. その他
7. コンポーネント別
7.1. はじめに
7.1.1. コンポーネント別市場規模分析および前年比成長率（％）
7.1.2. コンポーネント別市場魅力度指数
7.2. ソフトウェア*
7.2.1. はじめに
7.2.2. 市場規模分析および前年比成長率（％）
7.3. サービス
8. 用途別
8.1. はじめに
8.1.1. 市場規模分析および前年比成長率分析（％）、用途別
8.1.2. 用途別市場魅力度指数
8.2. 症状評価*
8.2.1. はじめに
8.2.2. 市場規模分析および前年比成長率分析（％）
8.3. 治療サポート
8.4. 危機管理
8.5. その他
9. 地域別
9.1. はじめに
9.1.1. 地域別市場規模分析および前年比成長率分析（％）
9.1.2. 地域別市場魅力度指数
9.2. 北米
9.2.1. はじめに
9.2.2. 主要地域別の動向
9.2.3. 市場規模分析および前年比成長率分析（％）、技術別
9.2.4. 市場規模分析および前年比成長率分析（％）、コンポーネント別
9.2.5. 市場規模分析および前年比成長率分析（％）、用途別
9.2.6. 国別の市場規模分析および前年比成長率分析（％）
9.2.6.1. 米国
9.2.6.2. カナダ
9.2.6.3. メキシコ
9.3. ヨーロッパ
9.3.1. はじめに
9.3.2. 主要地域特有の動向
9.3.3. 市場規模分析および前年比成長率分析（％）、技術別
9.3.4. 市場規模分析および前年比成長率分析（％）、コンポーネント別
9.3.5. 市場規模分析および前年比成長率分析（％）、用途別
9.3.6. 市場規模分析および前年比成長率分析（％）、国別
9.3.6.1. ドイツ
9.3.6.2. 英国
9.3.6.3. フランス
9.3.6.4. スペイン
9.3.6.5. イタリア
9.3.6.6. ヨーロッパのその他地域
9.4. 南アメリカ
9.4.1. はじめに
9.4.2. 主要地域別の動向
9.4.3. 市場規模分析および前年比成長率分析（％）、技術別
9.4.4. 市場規模分析および前年比成長率分析（％）、コンポーネント別
9.4.5. 市場規模分析および前年比成長率分析（％）、用途別
9.4.6. 国別の市場規模分析および前年比成長率分析（％）
9.4.6.1. ブラジル
9.4.6.2. アルゼンチン
9.4.6.3. 南米のその他地域
9.5. アジア太平洋地域
9.5.1. はじめに
9.5.2. 主要地域特有の動向
9.5.3. 市場規模分析および前年比成長率分析（％）、技術別
9.5.4. 市場規模分析および前年比成長率分析（％）、コンポーネント別
9.5.5. 市場規模分析および前年比成長率分析（％）、用途別
9.5.6. 市場規模分析および前年比成長率分析（％）、国別
9.5.6.1. 中国
9.5.6.2. インド
9.5.6.3. 日本
9.5.6.4. 韓国
9.5.6.5. アジア太平洋地域その他
9.6. 中東およびアフリカ
9.6.1. はじめに
9.6.2. 主要地域特有の動向
9.6.3. 市場規模分析および前年比成長率分析（％）、技術別
9.6.4. 市場規模分析および前年比成長率分析（％）、コンポーネント別
9.6.5. 市場規模分析および前年比成長率分析（％）、用途別
10. 競合状況
10.1. 競合シナリオ
10.2. 市場ポジショニング/シェア分析
10.3. 合併・買収分析
11. 企業プロフィール
Woebot Health
Wysa Ltd
Youper Inc.
X2ai Inc.
Quartet Health
Headspace Health
Marigold Health
BioBeats
Lyra Health, Inc.
Limbic
（リストは網羅的ではない）
12. 付録
12.1. 当社およびサービスについて
12.2. お問い合わせ

Overview
The global chatbots for mental health and therapy market reached US$ 1.10 billion in 2023 and is expected to reach US$ 1.76 billion by 2031, growing at a CAGR of 6.2% during the forecast period 2024-2031.

Therapy chatbots, also referred to as mental health chatbots, are advanced conversational AI systems designed to assist individuals in managing their mental well-being. These chatbots leverage technologies such as natural language processing (NLP) and machine learning to engage users in meaningful conversations, assess their mental health status, and provide personalized coping strategies or resources. They can be accessed through various platforms, including mobile applications, websites, and messaging apps.

Chatbots for mental health and therapy are AI-driven tools designed to simulate human-like conversations, providing psychological support and resources to users. These chatbots incorporate evidence-based therapeutic techniques, such as Cognitive Behavioral Therapy (CBT), to assist individuals in managing their mental health. By offering immediate responses and support, they serve as accessible first points of contact for those seeking help, especially in areas where traditional mental health services may be limited or stigmatized. These factors have driven the global chatbots for mental health and therapy market expansion.

Market Dynamics: Drivers & Restraints

Increasing Demand for Accessible Mental Health Services
The increasing demand for accessible mental health services is significantly driving the growth of the global chatbots for mental health and therapy market and is expected to drive throughout the market forecast period.
The pandemic has profoundly affected global mental health, resulting in a 25% increase in anxiety and depression rates worldwide, as reported by the World Health Organization (WHO). The isolation, fear of illness, financial instability, and grief experienced during this time have exacerbated existing mental health issues and introduced new ones.

Traditional mental health services often encounter significant obstacles, such as long wait times for appointments, limited availability of professionals, and geographic constraints. Many individuals are discouraged from seeking help due to these challenges. Chatbots offer a viable alternative by providing immediate support and resources at any time.

Furthermore, key players in the industry research studies that would drive the global chatbots for mental health and therapy market growth.For instnace, in January 2023, a significant study was published that highlighted the effectiveness of Limbic Access, an AI-powered mental health assessment tool developed by Limbic Inc. This research involved 129,400 patients across 28 NHS Talking Therapies services in England and demonstrated that the use of AI can significantly enhance access to mental health support, particularly for underrepresented groups. The study found a remarkable 179% increase in access to mental health support among non-binary individuals. There was also a 29% increase in access among ethnic minority groups. This indicates that Limbic Access effectively reached demographics that have historically faced barriers to accessing mental health services.

Similarly, according to a publication in The Lancet in October 2021, the pandemic had a profound impact on global mental health, triggering approximately 76 million cases of anxiety and 53 million cases of depression worldwide. This staggering increase in mental health disorders can be attributed to several factors associated with the pandemic's social, economic, and health-related disruptions. All these factors demand the global chatbots for mental health and therapy market.
Additionally, key players in the industry product launches and investments that would drive these global chatbots for mental health and therapy market growth. For instance, in January 2023, Limbic Inc. launched Limbic Access, an innovative mental health assessment tool designed to enhance the efficiency and effectiveness of psychological therapies. Limbic Access is an AI-powered chatbot that focuses on providing secure, clinically effective, and risk-managed support for individuals seeking mental health assistance.

Also, in October 2023, BeMeHealth announced a new strategic investor that will support its growth and expansion efforts. The investment will enable BeMeHealth to enhance its offerings, likely incorporating more advanced technologies or services aimed at improving mental health care. The influx of capital may allow BeMeHealth to develop new features or expand its reach into underserved markets, thereby increasing its impact on mental health care delivery. All these factors demand the global chatbots for mental health and therapy market.
Moreover, the Integration with Digital Health Platforms contributes to the global chatbots for mental health and therapy market expansion.
Privacy and Data Security Concerns
The privacy and data security concerns will hinder the growth of the global chatbots for mental health and therapy market.
Mental health chatbots often require users to disclose sensitive personal information, such as details about their mental health conditions, emotional states, and personal histories. Given the private nature of this data, users may fear that it could be exposed or misused. The vulnerability associated with sharing such information increases the stakes surrounding privacy.

Despite the implementation of strong security measures by reputable chatbot providers, the risk of data breaches remains a major concern. Cybersecurity threats are widespread, and sensitive data could potentially be compromised through hacking or unauthorized access. Such breaches can lead to severe repercussions for users, including emotional distress and potential stigma if their private information is made public.
According to the A Vinove Company data in 2024, stated that when dealing with sensitive mental health information through AI chatbots, significant privacy concerns arise. It is essential to ensure that all interactions are encrypted and securely stored, as well as compliant with regulations such as GDPR and HIPAA. Although chatbots can be very effective in offering support, they often struggle to grasp the full complexity of human emotions. This limitation can result in misunderstandings or inadequate responses in more complicated situations.

Many mental health chatbots do not communicate how user data is collected, stored, or utilized. Users may be unaware if their data is shared with third parties, such as advertisers or health insurance companies. This lack of transparency can undermine trust in these platforms, as individuals may worry about how their information is handled and whether it aligns with their expectations for confidentiality.
Thus, the above factors could be limiting the global chatbots for mental health and therapy market's potential growth.

Segment Analysis
The global chatbots for mental health and therapy market is segmented based on technology, component, application, and region.

Technology:
The natural language processing (NLP) segment is expected to dominate the global chatbots for mental health and therapy market share
The natural language processing (NLP) segment holds a major portion of the global chatbots for mental health and therapy market share and is expected to continue to hold a significant portion of the global chatbots for mental health and therapy market share during the forecast period.
Natural Language Processing (NLP) equips chatbots with the ability to analyze and interpret the complexities of human language, allowing for more natural and empathetic conversations. This capability is vital for fostering a supportive environment where users feel heard and validated. By incorporating sentiment analysis, chatbots can assess the emotional tone of user interactions. This functionality enables them to respond appropriately, offering empathy and customized support based on the user’s emotional state, which is crucial in mental health scenarios.

According to the Springer Nature research publication in October 2023, neuropsychiatric disorders impose a significant societal burden, but their treatment is complicated by the absence of objective outcomes and fidelity metrics. Artificial intelligence technologies, particularly Natural Language Processing (NLP), have emerged as valuable tools for analyzing mental health interventions (MHI) by examining the conversations that comprise them.

Natural Language Processing (NLP) enhances a chatbot's ability to maintain contextual awareness throughout interactions. By recalling previous conversations and referencing them, chatbots can offer more personalized and relevant assistance over time, thereby improving user engagement and satisfaction. The application of NLP allows chatbots to tailor responses according to individual user preferences and needs. This personalization may involve adjusting the communication style or providing specific mental health resources that resonate with the user's situation.

The integration of machine learning models with NLP enables chatbots to continually refine their responses based on user interactions and feedback. This ongoing learning process enhances the chatbot's adaptability to changing language patterns and individual user requirements. These factors have solidified the segment's position in the global chatbots for mental health and therapy market.

Geographical Analysis
North America is expected to hold a significant position in the global chatbots for mental health and therapy market share
North America holds a substantial position in the global chatbots for mental health and therapy market and is expected to hold most of the market share.
The region has a considerable number of individuals suffering from mental health issues such as depression, anxiety, and stress-related disorders. This widespread prevalence creates a robust demand for accessible mental health services, driving the adoption of innovative solutions like chatbots.

North America features a well-established healthcare infrastructure that supports the integration of digital health technologies. The availability of advanced technological resources facilitates the effective deployment of AI-driven solutions, including chatbots, making them more efficient and widely accessible.
There is a strong focus on leveraging technology to enhance mental health care delivery in North America. Companies are investing significantly in developing sophisticated chatbots that utilize advanced Natural Language Processing (NLP) and machine learning techniques to improve user interactions and therapeutic outcomes.
Furthermore, in this region, a major number of key players' presence, government initiatives & regulatory support, and product launches would propel these global chatbots for mental health and therapy market growth. For instance, in November 2024, Jimini Health, a digital health startup, launched its services with $8 million in pre-seed funding aimed at transforming mental healthcare through a unique clinician-led therapy model augmented by responsible artificial intelligence (AI). The funding round saw participation from notable investors including Zetta Venture Partners, LionBird, PsyMed, BoxGroup, Arkitekt Ventures, and SCB.

Also, in March 2023, Botpress, launched the industry's first visual builder tool that enables users to create advanced chatbots capable of executing complex workflows on top of ChatGPT in just a matter of minutes in Canada. This innovation is designed to democratize chatbot creation, making it accessible to a wider range of users, including those without extensive programming knowledge. Users can develop customized personal assistants, educational bots, coding assistants, social service hotlines, mental health support bots, smart email responders, and life coaching guides.
Thus, the above factors are consolidating the region's position as a dominant force in the global chatbots for mental health and therapy market.

Asia Pacific is growing at the fastest pace in the global chatbots for mental health and therapy market share
Asia Pacific holds the fastest pace in the global chatbots for mental health and therapy market and is expected to hold most of the market share.
In Asia-Pacific region is experiencing an increase in mental health issues, including anxiety, depression, and stress-related disorders. This growing prevalence creates a strong demand for accessible mental health services, which chatbots can effectively provide.

According to the National Center for Biotechnology Information (NCBI) research publication in July 2023, in India, mental health disorders are highly prevalent, affecting a significant portion of the population. Epidemiological studies indicate that the prevalence rates for psychiatric disorders range from 9.5 to 370 per 1,000 individuals. This wide range reflects the diverse challenges faced by individuals in the country. The high prevalence of mental health disorders underscores the urgent need for effective interventions and support systems to enhance the mental well-being of the population. Commonly observed conditions include depression, anxiety disorders, bipolar disorder, schizophrenia, and substance use disorders.

Rapid urbanization in countries such as China and India is leading to lifestyle changes that often contribute to heightened stress and mental health challenges. As urban populations expand, there is a corresponding rise in the demand for convenient mental health solutions like chatbots. The proliferation of smartphones and internet connectivity in the Asia-Pacific region facilitates the use of digital health solutions. Chatbots, accessible via mobile devices, are becoming increasingly popular among individuals seeking immediate mental health support.

Furthermore, in this region, key player's initiatives, such as partnerships & collaborations, and product launches would drive the global healthcare chatbots market growth. For instance, in June 2023, the Osmania Technology Business Incubator (OTBI) in collaboration with Findhope, took place at Osmania University. This event provided a unique platform for students to engage in discussions centered around mental well-being and contribute innovative ideas aimed at enhancing Findhope’s AI WhatsApp chatbot.
Also, in April 2024, Wysa, launched a Hindi version of its conversational AI therapy app, aiming to enhance the accessibility of quality mental health services in underserved communities across India, particularly in Tier II and III cities. This initiative addresses significant barriers to mental health care in regions where access to traditional therapy is limited.

Similarly, in July 2023, Jammu and Kashmir (J&K) launched India's first Tele-MANAS chatbot, designed to provide immediate support for individuals in mental distress. This initiative aims to enhance mental health services in the region by ensuring round-the-clock access to health counselors, clinical psychologists, and consultants.
Also, in April 2024, the Chinese University of Hong Kong (CUHK) launched an AI chatbot aimed at providing mental health support to the youth in Hong Kong, particularly in response to the increasing demand for mental health services and the growing complexity of cases among students. This initiative is part of the Jockey Club TourHeart+ project, which has been enhanced by a donation from the Hong Kong Jockey Club.
Thus, the above factors are consolidating the region's position as the fastest-growing force in the global chatbots for mental health and therapy market.

Competitive Landscape
The major global players in the chatbots for mental health and therapy market include Woebot Health, Wysa Ltd, Youper Inc., X2ai Inc., Quartet Health, Headspace Health, Marigold Health, BioBeats, Lyra Health, Inc., and Limbic among others.

Key Developments
• In November 2024, Rogers Behavioral Health announced a partnership with Limbic Inc. to implement an AI chatbot, Limbic Access, aimed at transforming its patient intake process. This initiative marks a significant shift from the traditional phone-based intake system to a more modern, AI-driven approach that enhances accessibility and efficiency in mental health care.
• In November 2024, HealthSci.AI launched an innovative suite of health-focused and biotech-driven chatbots designed to empower users with personalized guidance and support across a wide range of health and biotechnology topics. This initiative aims to provide an accessible pathway for users to proactively manage their health and navigate the complexities of biotechnology with confidence.
• In June 2024, Sonia is a newly launched AI chatbot designed to provide a convenient and accessible alternative to traditional therapy. Developed by a startup of the same name, Sonia utilizes multiple generative AI models to analyze user interactions during therapy sessions conducted through the app, allowing it to respond appropriately to users' needs. Sonia is designed to address a wide range of mental health challenges, including depression, stress, anxiety, relationship issues, and sleep disturbances. This broad focus allows it to cater to diverse user needs.
• In April 2024, Fortis Healthcare launched Adayu Mindfulness, an AI-powered chatbot designed to provide mental health support for individuals facing psychological challenges. This innovative application serves as a digital-first aid kit for mental health, particularly targeting those who may be hesitant to seek professional help due to societal stigma surrounding mental health issues.
• In January 2024, the GPT Store launched by OpenAI, is a groundbreaking platform that allows users to buy and sell custom AI chatbots, including those designed for mental health support. This store has generated significant interest due to its diverse offerings, which range from highly effective and serious applications to more unconventional or "wacko" chatbots.

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 chatbots for mental health and therapy 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 Technology
3.2. Snippet by Component
3.3. Snippet by Application
3.4. Snippet by Region
4. Dynamics
4.1. Impacting Factors
4.1.1. Drivers
4.1.1.1. Increasing Demand for Accessible Mental Health Services
4.1.1.2. XX
4.1.2. Restraints
4.1.2.1. Privacy and Data 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 Technology
6.1. Introduction
6.1.1. Analysis and Y-o-Y Growth Analysis (%), By Technology
6.1.2. Market Attractiveness Index, By Technology
6.2. Natural Language Processing (NLP)*
6.2.1. Introduction
6.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
6.3. Machine Learning (ML)
6.4. Others
7. By Component
7.1. Introduction
7.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
7.1.2. Market Attractiveness Index, By Component
7.2. Software*
7.2.1. Introduction
7.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
7.3. Services
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. Symptom Assessment*
8.2.1. Introduction
8.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
8.3. Therapeutic Support
8.4. Crisis Management
8.5. Others
9. By Region
9.1. Introduction
9.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Region
9.1.2. Market Attractiveness Index, By Region
9.2. North America
9.2.1. Introduction
9.2.2. Key Region-Specific Dynamics
9.2.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
9.2.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
9.2.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
9.2.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
9.2.6.1. U.S.
9.2.6.2. Canada
9.2.6.3. Mexico
9.3. Europe
9.3.1. Introduction
9.3.2. Key Region-Specific Dynamics
9.3.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
9.3.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
9.3.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
9.3.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
9.3.6.1. Germany
9.3.6.2. U.K.
9.3.6.3. France
9.3.6.4. Spain
9.3.6.5. Italy
9.3.6.6. Rest of Europe
9.4. South America
9.4.1. Introduction
9.4.2. Key Region-Specific Dynamics
9.4.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
9.4.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
9.4.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
9.4.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
9.4.6.1. Brazil
9.4.6.2. Argentina
9.4.6.3. Rest of South America
9.5. Asia-Pacific
9.5.1. Introduction
9.5.2. Key Region-Specific Dynamics
9.5.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
9.5.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
9.5.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
9.5.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
9.5.6.1. China
9.5.6.2. India
9.5.6.3. Japan
9.5.6.4. South Korea
9.5.6.5. Rest of Asia-Pacific
9.6. Middle East and Africa
9.6.1. Introduction
9.6.2. Key Region-Specific Dynamics
9.6.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
9.6.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
9.6.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
10. Competitive Landscape
10.1. Competitive Scenario
10.2. Market Positioning/Share Analysis
10.3. Mergers and Acquisitions Analysis
11. Company Profiles
11.1. Woebot Health *
11.1.1. Company Overview
11.1.2. Product Portfolio and Description
11.1.3. Financial Overview
11.1.4. Key Developments
11.2. Wysa Ltd
11.3. Youper Inc.
11.4. X2ai Inc.
11.5. Quartet Health
11.6. Headspace Health
11.7. Marigold Health
11.8. BioBeats
11.9. Lyra Health, Inc.
11.10. Limbic (LIST NOT EXHAUSTIVE)
12. Appendix
12.1. About Us and Services
12.2. Contact Us

*** メンタルヘルス＆セラピー用チャットボットの世界市場に関するよくある質問(FAQ) ***

・メンタルヘルス＆セラピー用チャットボットの世界市場規模は？
→DataM Intelligence社は2023年のメンタルヘルス＆セラピー用チャットボットの世界市場規模を11億米ドルと推定しています。

・メンタルヘルス＆セラピー用チャットボットの世界市場予測は？
→DataM Intelligence社は2031年のメンタルヘルス＆セラピー用チャットボットの世界市場規模を17億6000万米ドルと予測しています。

・メンタルヘルス＆セラピー用チャットボット市場の成長率は？
→DataM Intelligence社はメンタルヘルス＆セラピー用チャットボットの世界市場が2024年～2031年に年平均6.2%成長すると展望しています。

・世界のメンタルヘルス＆セラピー用チャットボット市場における主要プレイヤーは？
→「Woebot Health、Wysa Ltd、Youper Inc.、X2ai Inc.、Quartet Health、Headspace Health、Marigold Health、BioBeats、Lyra Health, Inc.、Limbicなど ...」をメンタルヘルス＆セラピー用チャットボット市場のグローバル主要プレイヤーとして判断しています。

※上記FAQの市場規模、市場予測、成長率、主要企業に関する情報は本レポートの概要を作成した時点での情報であり、最終レポートの情報と少し異なる場合があります。

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