心理健康與治療市場聊天機器人報告：2030 年趨勢、預測與競爭分析

聊天機器人對心理健康和治療的趨勢和預測

全球心理健康和治療領域的聊天機器人的未來看起來充滿希望，在對話式介面和行為模式識別市場中蘊藏著機會。到 2030 年，全球心理健康和治療聊天機器人市場預計將達到 13 億美元，2024 年至 2030 年複合年成長率為 5.8%。這個市場的主要促進因素是心理健康狀況的迅速增加、心理健康專業人員的短缺以及人們對聊天機器人對心理健康和治療的好處的認知不斷增強。

• 在技​​術類別中，Lucintel 預測，由於對可以監控治療計劃、療程和治療效果的聊天機器人的需求不斷成長，機器學習和深度學習將在預測期內繼續成為較大的細分市場。
• 在此使用類別中，對話介面為患有心理健康問題的人提供支持和應對機制，同時幫助識別和管理症狀並與心理健康資源和專業人員建立聯繫。
• 從地區來看，由於對可獲得的心理健康支持的需求不斷增加、強大的醫療保健IT基礎設施以及該地區的支持性法規環境，預計北美在預測期內仍將是最大的地區。

心理健康和治療聊天機器人市場的策略性成長機會

用於心理健康和治療的聊天機器人市場是由技術進步、不斷變化的用戶需求和使用以及不斷成長的實用性所推動的。透過利用這些機會，公司可以鞏固其市場地位並推動數位心理保健領域的成長。

• 擴展到新興市場：新興市場提供新的用戶和收入來源。對更好的心理健康的追求是普遍的，因此透過識別並接觸這些地區，您可以擴大您的用戶群。
• 開發多語言聊天機器人：透過提供不同語言的支持，您可以接觸更廣泛的受眾並提高用戶滿意度。透過迎合不同的人群，聊天機器人可以滿足不同文化的需求。
• 與健康生態融合：與健康生態融合，為使用者提供統一的體驗與擴展的服務能力。與健康服務提供者和平台的合作可以為聊天機器人付加價值並確保全面的心理健康支援。
• 資金籌措人工智慧和自然語言處理開發：人工智慧和自然語言處理技術的發展將提高對話質量，使聊天機器人更加人性化和自然。實施先進技術可以提高客戶滿意度和效率，從而增強您的組織在數位心理健康服務提供方面的地位。
• 開發治療聊天機器人 專業的聊天機器人治療交付可解決特定的心理健康問題和支援需求。這種特異性增加了介入的有效性以及客戶在尋求特定治療方法時的作用。

新的產品和成長策略，例如開拓未開發的市場、創建多語言聊天機器人、與健康生態系統整合、改進人工智慧和專業治療聊天機器人正在推動心理健康和治療市場的聊天機器人正在轉變。我們應該利用這些機會促進創新、擴大市場並滿足各種心理健康需求。

心理健康和治療聊天機器人市場的促進因素和挑戰

心理健康和治療聊天機器人市場的成長和開拓趨勢已得到認可。在討論市場時，了解這些因素至關重要。

心理健康和治療聊天機器人市場的促進因素是：

• 技術創新：現代系統的出現增強了用於心理健康服務的聊天機器人的技術特徵。更複雜的人工智慧和自然語言處理將實現更準確和以人為本的溝通交互，從而提高用戶採用率和滿意度。
• 對心理健康服務的需求增加：人們對心理健康問題的認知不斷提高，需要擴充性且低成本的解決方案。聊天機器人更易於管理且成本更低，可以滿足心理健康支援的需求。
• 監控和政策實施的良好實踐：支持性的法規環境為聊天機器人如何處理資料提供法律支援和指導。遵守規則可以建立信任並鼓勵對數位心理健康服務的投資。
• 與數位健康生態系統整合：整合到現有的醫療保健系統中可以提高聊天機器人的可用性和覆蓋範圍。健康平台相關人員可以透過與聊天機器人合作來擴大服務可用性並改善心理健康。
• 對個人化支援的需求：使用者對特定支援（例如焦慮）的渴望催生了對可以個性化互動的聊天機器人的需求。訊息的有效個人化可以提高聊天機器人治療的有效性。

心理健康和治療聊天機器人市場的挑戰包括：

• 資料隱私和安全問題：使用者可能擔心資料隱私，這可能會限制服務的採用。您需要減輕這些風險並確保投資於符合法規的安全技術。
• 有限的情感理解：聊天機器人可能缺乏有效理解和解釋情感的能力，這可能會限制他們的幫助。人工智慧需要長期改進，以增強情感理解和適當的反應。
• 監管和道德考量：法律規範和道德要求可能會影響開發人員和聊天機器人的市場成功。公司必須解決這些問題，以便在保持合法和道德的同時提供心理健康支持。

技術的改進、對心理健康問題的認知不斷增強、監管支持、與醫療保健系統的整合以及對個性化支持的需求將推動心理健康和治療聊天機器人市場的發展。在市場上取得成功需要克服資料保護、人工智慧的情感理解和監管合規等挑戰。平衡這些因素和風險對於推動數位心理健康的規模和創新至關重要。

心理健康和治療聊天機器人市場的公司列表

同一市場中的公司根據其提供的產品品質進行競爭。該市場的主要企業專注於擴大製造設施、研發投資、基礎設施開發以及利用整個價值鏈的整合機會。透過這些策略，心理健康和治療市場的聊天機器人公司能夠滿足不斷成長的需求，確保競爭效率，開發創新產品和技術，降低生產成本，並擴大基本客群。本報告重點介紹了心理健康和治療聊天機器人市場的一些公司。

• Wysa
• Ginger
• Woebot Health
• Marigold Health
• Bark Technologies
• Mindstrong Health
• BioBeats
• Lyra Health
• Cognoa
• MeQuilibrium

目錄

第1章執行摘要

第2章全球心理健康與治療聊天機器人市場：市場動態

• 簡介、背景、分類
• 供應鏈
• 產業促進因素與挑戰

第3章 2018-2030年市場趨勢及預測分析

• 宏觀經濟趨勢（2018-2023）與預測（2024-2030）
• 全球心理健康和治療聊天機器人市場趨勢（2018-2023）和預測（2024-2030）
• 全球心理健康和治療聊天機器人市場：按組成部分
  • Saas
  • 其他
• 全球心理健康與治療聊天機器人市場：依技術分類
  • 機器學習和深度學習
  • 自然語言處理
  • 其他
• 全球心理健康與治療聊天機器人市場：按應用分類
  • 對話式介面
  • 行為模式識別
  • 其他

第4章 2018-2030年區域市場趨勢及預測分析

• 按地區分類的全球心理健康和治療聊天機器人市場
• 北美心理健康與治療聊天機器人市場
• 歐洲心理健康與治療聊天機器人市場
• 亞太地區心理健康與治療聊天機器人市場
• 其他地區的心理健康和治療聊天機器人市場

第5章 競爭分析

• 產品系列分析
• 業務整合
• 波特五力分析

第6章 成長機會與策略分析

• 成長機會分析
  • 按組成部分：全球心理健康和治療聊天機器人市場成長機會
  • 按技術分類：全球心理健康和治療聊天機器人市場的成長機會
  • 按應用分類：全球心理健康和治療聊天機器人市場的成長機會
  • 按地區：全球心理健康和治療聊天機器人市場成長機會
• 全球心理健康和治療聊天機器人市場的新興趨勢
• 戰略分析
  • 新產品開發
  • 擴大全球心理健康和治療聊天機器人市場的能力
  • 全球心理健康和治療聊天機器人市場的合併、收購和合資企業
  • 認證和許可

第7章主要企業概況

• Wysa
• Ginger
• Woebot Health
• Marigold Health
• Bark Technologies
• Mindstrong Health
• BioBeats
• Lyra Health
• Cognoa
• MeQuilibrium

Chatbots for Mental Health and Therapy Trends and Forecast

The future of chatbots for the global mental health and therapy market looks promising with opportunities in the conversational interfaces and behavioral pattern recognition markets. Chatbots for the global mental health and therapy market is expected to reach an estimated $1.3 billion by 2030 with a CAGR of 5.8% from 2024 to 2030. The major drivers for this market are a surge in the prevalence of mental health conditions, a shortage of mental health professionals, and rising awareness of the benefits of chatbots for mental health.

• Lucintel forecasts that, within the technology category, machine learning and deep learning will remain a larger segment over the forecast period due to the growing demand for chatbots, which can monitor treatment plans and sessions and therapy effectiveness.
• Within this application category, conversational interfaces will remain the largest segment as they provide support and coping mechanisms for people suffering from mental health conditions while helping them identify and manage their symptoms and connect them with mental health resources and professionals.
• In terms of regions, North America will remain the largest region over the forecast period due to the increasing demand for accessible mental health support, the presence of robust healthcare IT infrastructure, and a supportive regulatory environment in the region.

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Emerging Trends in the Chatbots for Mental Health and Therapy Market

The chatbots for mental health and therapy market are changing how mental health assistance is provided and received.

• Trend Towards AI & Machine Learning: AI and machine learning play a role in chatbot interaction by providing technology that personalizes and tailors responses. These improvements increase the chatbot's understanding and responsiveness to people, hence aiding in better and more satisfying assistance to users seeking mental health help.
• Attention to the Protection of Data From Being Misused: This is critical since chatbots handle sensitive information such as mental health data. Offering trustworthy data privacy and security has become an obligation for every firm. Sophisticated encryption and corrective actions are being implemented to preserve privacy and keep users' trust intact.
• Development of Multilingual and Inclusive Solutions: Multilingual and culturally competent mental health chatbots make mental health care more inclusive. Such chatbots are making a difference in user engagement and effectiveness by targeting people from different cultural and understanding backgrounds.
• Use of Health Monitoring Tools and Applications: Better integration of health app chatbots with wearable devices allows monitoring of users by pushing out alerts on interventions such as taking medication on time. This allows algorithms to use physiological states and user activity to provide quicker and better-fitting assistance.
• Increased Adoption in Telehealth Platforms: With the growing number of telehealth platforms, chatbots have become a digital therapy enhancement. These chatbots offer a degree of screening and follow-up where conventional therapy may fall short, thus alleviating some barriers to mental health services.

Growing trends such as enhancing bot AI, protecting user information, supporting multiple languages, adapting to wearable technology, and widening the reach of telehealth platforms are transforming the chatbots for mental health and therapy sector. These changes stimulate progress and optimize the provision of mental health services via the Internet.

Recent Developments in the Chatbots for Mental Health and Therapy Market

The latest trends in mental health chatbots indicate technological evolution, rising regulatory attention, and shifts in user perspectives. These trends define the market landscape and affect the provision and consumption of mental health assistance.

• Improved Natural Language Processing (NLP): More robust NLP capabilities enable chatbots to be more precise and sensitive when handling user questions and requests. This enhancement improves communication and support, boosting satisfaction and engagement among users.
• Regulatory Compliance and Certification: By adhering to laws such as GDPR, communities maintain privacy requirements and enable services to sustain societal trust. Certification processes increase the credibility and safety of chatbots, leading to greater acceptance by healthcare providers and users.
• Compatibility with Mental Health Platforms: Adding chatbots to pre-existing mental health service structures increases their usefulness and availability. In this way, chatbots offer seamless interactions and outreach, ensuring that users receive support through various channels, and making care more inclusive.
• Enhancing Personalization and User Focus: Personalized interactions enhance the efficiency and applicability of chatbot support services. Chatbots offer more relevant and tailored mental health support by considering individual needs when addressing them in their responses and interventions.
• Potential Additional Uses and Applications: With more advanced use cases, chatbots are poised to address a broader range of mental health issues and therapeutic requirements. This diversity reinforces chatbot functionality, making it more attractive to specific user categories and advancing wider mental wellness objectives.

Technological developments in NLP, legal regulations, partnerships with behavioral healthcare services, user satisfaction, and diversity in functionalities are the recent trends influencing chatbots in the mental health and therapy field. Insights gathered from this industry are transforming the provision and outreach of digital mental health solutions, fostering progress and creativity in the sector.

Strategic Growth Opportunities for Chatbots for Mental Health and Therapy Market

The chatbots for the mental health and therapy market include advancements in technology, shifting user needs and usage, and expanding utility. Harnessing these opportunities can strengthen a company's position in the market and stimulate growth in the domain of digital mental healthcare.

• Expansion into Emerging Markets: Emerging markets represent new users and income sources. The pursuit of improving mental health is universal, so identifying and reaching out to these areas can increase the user base.
• Development of Multilingual Chatbots: Offering support in different languages ensures broader audience coverage and user satisfaction. By catering to diverse populations, chatbots can meet the demands of various cultures.
• Integration with Health Ecosystems: Integration with health ecosystems provides users with a consolidated experience and extended service capabilities. Collaboration with health service providers and platforms can add value to chatbots, ensuring comprehensive mental well-being support.
• Funding for AI and NLP Development: The development of AI and NLP technologies improves the quality of conversations, making chatbots more human-like and natural. Deploying advanced technologies increases customer satisfaction and efficacy, strengthening organizations' positions in providing digital mental health services.
• Development of Therapy Chatbots: Therapy provision through specialized chatbots addresses specific mental health problems and required assistance. This specificity enhances the efficiency of interventions and the role of clients seeking particular therapy methods.

Emerging offerings and growth strategies such as entering untapped markets, creating multilingual chatbots, integrating with health ecosystems, improving artificial intelligence, and specializing in therapy chatbots are transforming the mental health and therapy chatbot market. These opportunities should be leveraged to foster innovation, grow the market, and meet varying mental health needs.

Chatbots for Mental Health and Therapy Market Driver and Challenges

The growth and development trends of chatbots for the mental health and therapy market have been recognized. It is essential to understand these factors when discussing the market.

The factors driving chatbots for the mental health and therapy market include:

• Technological Innovation: The emergence of modern systems enhances the technological features of chatbots used in mental health delivery. More sophisticated artificial intelligence and natural language processing lead to more accurate and human-oriented communicative interactions, resulting in increased user adoption and satisfaction.
• Increasing Demand for Mental Health Services: Growing awareness of mental health issues calls for solutions that are both scalable and low-cost. Chatbots are more manageable and inexpensive, fulfilling the demand for mental health assistance.
• Good Practices of Monitoring & Implementation of Policies: Supportive regulatory environments provide legal backing and guidance on how chatbots should handle data. Adhering to rules builds trust and encourages investment in digital mental health services.
• Integration with Digital Health Ecosystems: Integration into existing health systems increases the chatbot's usability and reach. Stakeholders in health platforms can partner with chatbots to expand service availability and improve mental well-being.
• Demand for Personalized Support: Users' desire for specific support, such as for anxiety, makes chatbots capable of personalizing interactions a necessity. Effective personalization of messages increases the effectiveness of chatbot therapy.

Challenges in the chatbots for mental health and therapy market are:

• Data Privacy and Security Concerns: Users may have concerns about data privacy, which can limit the adoption of the service. Investments in secure technologies that mitigate these risks and comply with regulations must be ensured.
• Limited Emotional Understanding: Chatbots may lack the ability to effectively understand and interpret emotions, potentially limiting their assistance. Long-term improvements in AI are needed to enhance the comprehension of feelings and appropriate responses.
• Regulatory and Ethical Considerations: Regulatory frameworks and ethical requirements may influence the success of developers and chatbots in the market. Businesses must resolve these issues to offer mental health assistance while remaining legal and ethical.

Technological improvements, increased awareness of mental health issues, regulatory support, integration with health systems, and the need for personalized support drive the market for mental health and therapy chatbots. Challenges such as data protection, emotional comprehension in AI, and regulatory compliance must be overcome to succeed in the market. Balancing these factors and risks is crucial to promoting expansion and innovation in digital mental health.

List of Chatbots Companies for the Mental Health and Therapy Market

Companies in the market compete on the basis of product quality offered. Major players in this market focus on expanding their manufacturing facilities, R&D investments, infrastructural development, and leverage integration opportunities across the value chain. With these strategies chatbots companies for the mental health and therapy market cater increasing demand, ensure competitive effectiveness, develop innovative products & technologies, reduce production costs, and expand their customer base. Some of chatbots companies for the mental health and therapy are profiled in this report include-

• Wysa
• Ginger
• Woebot Health
• Marigold Health
• Bark Technologies
• Mindstrong Health
• BioBeats
• Lyra Health
• Cognoa
• MeQuilibrium

Chatbots for Mental Health and Therapy by Segment

The study includes a forecast of chatbots for the global mental health and therapy by component, technology, application, and region.

Chatbots for Mental Health and Therapy Market by Component [Analysis by Value from 2018 to 2030]:

• Saas
• Others

Chatbots for Mental Health and Therapy Market by Technology [Analysis by Value from 2018 to 2030]:

• Machine Learning and Deep Learning
• Natural Language Processing
• Others

Chatbots for Mental Health and Therapy Market by Application [Analysis by Value from 2018 to 2030]:

• Conversational Interfaces
• Behavioral Pattern Recognition
• Others

Chatbots for Mental Health and Therapy Market by Region [Shipment Analysis by Value from 2018 to 2030]:

• North America
• Europe
• Asia Pacific
• The Rest of the World

Country Wise Outlook for the Chatbots for Mental Health and Therapy Market

The chatbots for mental health and therapy market demonstrates significant advances in AI technology, with a global focus on societal healthcare improvements. This shift highlights the ongoing push for wellness and preparedness during health crises, leading to the development of health-maintaining technologies like chatbots in various countries and regions.

• United States: Due to growing awareness of mental health and the adoption of technology, chatbots for mental health have begun to gain traction in the United States. Recent developments include the deployment of AI chatbots in healthcare services and collaborations between tech companies and mental health providers. These chatbots offer initial empathetic interactions, stress relief, and therapeutic support, helping to address the deficit in mental care services.
• China: China is rapidly embracing chatbots for mental health, thanks to political support for advancing e-health systems. Chatbot systems are adapting to the Chinese language and culture, targeting issues like social anxiety and depression. The rising depression rates in China have driven tech companies to partner with online health specialists to develop more innovative chatbots that integrate with existing online health services.
• Germany: In Germany, the market for mental health chatbots is evolving, focusing on regulatory compliance and integration with the existing healthcare system. New features include chatbots designed to meet strict data protection laws while complementing traditional therapy. German companies are also collaborating with universities to improve therapeutic outcomes using chatbots.
• India: In India, the acceptance of mental health chatbots is increasing as a solution to the shortage of mental health practitioners. Key features include enhancing chatbots in local languages to address the diverse needs of the population, particularly for issues like stress and anxiety. Indian startups are focusing on affordability and accessibility, making these chatbots vital in the movement towards improving mental health services in India.
• Japan: Japan is developing mental health chatbots, supported by technological advancements and growing mental health awareness. Recent developments include chatbots tailored to Japan's cultural context, addressing a wide range of mental health concerns. Japanese tech entrepreneurs are working to improve chatbot engagement and usability within the context of AI development.

Features of Chatbots for the Global Mental Health and Therapy Market

Market Size Estimates: Chatbots for mental health and therapy market size estimation in terms of value ($B).

Trend and Forecast Analysis: Market trends (2018 to 2023) and forecast (2024 to 2030) by various segments and regions.

Segmentation Analysis: Chatbots for mental health and therapy market size by component, technology, application, and region in terms of value ($B).

Regional Analysis: Chatbots for mental health and therapy market breakdown by North America, Europe, Asia Pacific, and Rest of the World.

Growth Opportunities: Analysis of growth opportunities in different components, technologies, applications, and regions of chatbots for the mental health and therapy market.

Strategic Analysis: This includes M&A, new product development, and competitive landscape of chatbots for the mental health and therapy market.

Analysis of competitive intensity of the industry based on Porter's Five Forces model.

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This report answers following 11 key questions:

• Q.1. What are some of the most promising, high-growth opportunities of chatbots for the mental health and therapy market by component (saas and others), technology (machine learning and deep learning, natural language processing, and others), application (conversational interfaces, behavioral pattern recognition, and others), and region (North America, Europe, Asia Pacific, and the Rest of the World)?
• Q.2. Which segments will grow at a faster pace and why?
• Q.3. Which region will grow at a faster pace and why?
• Q.4. What are the key factors affecting market dynamics? What are the key challenges and business risks in this market?
• Q.5. What are the business risks and competitive threats in this market?
• Q.6. What are the emerging trends in this market and the reasons behind them?
• Q.7. What are some of the changing demands of customers in the market?
• Q.8. What are the new developments in the market? Which companies are leading these developments?
• Q.9. Who are the major players in this market? What strategic initiatives are key players pursuing for business growth?
• Q.10. What are some of the competing products in this market and how big of a threat do they pose for loss of market share by material or product substitution?
• Q.11. What M&A activity has occurred in the last 5 years and what has its impact been on the industry?

Table of Contents

1. Executive Summary

2. Chatbots for the Global Mental Health and Therapy Market: Market Dynamics

• 2.1: Introduction, Background, and Classifications
• 2.2: Supply Chain
• 2.3: Industry Drivers and Challenges

3. Market Trends and Forecast Analysis from 2018 to 2030

• 3.1. Macroeconomic Trends (2018-2023) and Forecast (2024-2030)
• 3.2. Chatbots for the Global Mental Health and Therapy Market Trends (2018-2023) and Forecast (2024-2030)
• 3.3: Chatbots for the Global Mental Health and Therapy Market by Component
  • 3.3.1: Saas
  • 3.3.2: Others
• 3.4: Chatbots for the Global Mental Health and Therapy Market by Technology
  • 3.4.1: Machine learning and Deep learning
  • 3.4.2: Natural Language Processing
  • 3.4.3: Others
• 3.5: Chatbots for the Global Mental Health and Therapy Market by Application
  • 3.5.1: Conversational Interfaces
  • 3.5.2: Behavioral Pattern Recognition
  • 3.5.3: Others

4. Market Trends and Forecast Analysis by Region from 2018 to 2030

• 4.1: Chatbots for the Global Mental Health and Therapy Market by Region
• 4.2: Chatbots for the North American Mental Health and Therapy Market
  • 4.2.1: Chatbots for the North American Mental Health and Therapy Market by Technology: Machine learning and Deep learning, Natural Language Processing, and Others
  • 4.2.2: Chatbots for the North American Mental Health and Therapy Market by Application: Conversational Interfaces, Behavioral Pattern Recognition, and Others
• 4.3: Chatbots for the European Mental Health and Therapy Market
  • 4.3.1: Chatbots for the European Mental Health and Therapy Market by Technology: Machine learning and Deep learning, Natural Language Processing, and Others
  • 4.3.2: Chatbots for the European Mental Health and Therapy Market by Application: Conversational Interfaces, Behavioral Pattern Recognition, and Others
• 4.4: Chatbots for the APAC Mental Health and Therapy Market
  • 4.4.1: Chatbots for the APAC Mental Health and Therapy Market by Technology: Machine learning and Deep learning, Natural Language Processing, and Others
  • 4.4.2: Chatbots for the APAC Mental Health and Therapy Market by Application: Conversational Interfaces, Behavioral Pattern Recognition, and Others
• 4.5: Chatbots for the ROW Mental Health and Therapy Market
  • 4.5.1: Chatbots for the ROW Mental Health and Therapy Market by Technology: Machine learning and Deep learning, Natural Language Processing, and Others
  • 4.5.2: Chatbots for the ROW Mental Health and Therapy Market by Application: Conversational Interfaces, Behavioral Pattern Recognition, and Others

5. Competitor Analysis

• 5.1: Product Portfolio Analysis
• 5.2: Operational Integration
• 5.3: Porter's Five Forces Analysis

6. Growth Opportunities and Strategic Analysis

• 6.1: Growth Opportunity Analysis
  • 6.1.1: Growth Opportunities of Chatbots for the Global Mental Health and Therapy Market by Component
  • 6.1.2: Growth Opportunities of Chatbots for the Global Mental Health and Therapy Market by Technology
  • 6.1.3: Growth Opportunities of Chatbots for the Global Mental Health and Therapy Market by Application
  • 6.1.4: Growth Opportunities of Chatbots for the Global Mental Health and Therapy Market by Region
• 6.2: Emerging Trends in Chatbots for the Global Mental Health and Therapy Market
• 6.3: Strategic Analysis
  • 6.3.1: New Product Development
  • 6.3.2: Capacity Expansion of Chatbots for the Global Mental Health and Therapy Market
  • 6.3.3: Mergers, Acquisitions, and Joint Ventures in Chatbots for the Global Mental Health and Therapy Market
  • 6.3.4: Certification and Licensing

7. Company Profiles of Leading Players

• 7.1: Wysa
• 7.2: Ginger
• 7.3: Woebot Health
• 7.4: Marigold Health
• 7.5: Bark Technologies
• 7.6: Mindstrong Health
• 7.7: BioBeats
• 7.8: Lyra Health
• 7.9: Cognoa
• 7.10: MeQuilibrium