Chatbots for Mental Health & Therapy Market Hit USD 2.2 Billion by 2033

Trishita Deb
Trishita Deb

Updated · May 31, 2024


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The Global Chatbots for Mental Health and Therapy Market is expected to grow significantly, reaching USD 2.2 billion by 2033 from USD 1.3 billion in 2023, at a compound annual growth rate (CAGR) of 5.6% during the forecast period from 2024 to 2033. This growth is driven by several key factors including the increasing prevalence of mental health issues worldwide, advancements in natural language processing (NLP), and the rising demand for accessible mental health support.

The growing awareness and diminishing stigma surrounding mental health issues have encouraged more individuals to seek help, thereby boosting the adoption of chatbots. These chatbots offer a discreet, non-judgmental platform for users to express their emotions and receive support, which is crucial for those hesitant to seek traditional therapy​​. Additionally, the scalability and accessibility of chatbots make them a viable solution for individuals in remote or underserved areas, where access to mental health resources is limited. The 24/7 availability of these digital tools further enhances their appeal by providing instant support irrespective of geographical or time constraints.

However, the market faces challenges such as the limitations in chatbots’ ability to fully understand and replicate human emotions, which can affect the quality of support provided. Despite advancements in NLP, chatbots still struggle to comprehend complex mental health issues, which can sometimes lead to inappropriate responses in sensitive situations​​. Furthermore, ethical considerations regarding data privacy and informed consent remain critical, requiring developers to ensure transparency and user empowerment​.

Recent developments in the market include significant investments and innovations. For instance, companies like Wysa and Woebot Health have secured substantial funding to enhance their chatbot capabilities and expand their reach. The integration of chatbots with wearable devices and other digital health tools is also a notable trend, providing more personalized and context-aware mental health support.

Overall, the Chatbots for Mental Health and Therapy Market is poised for steady growth, driven by technological advancements and increasing demand for accessible mental health services, despite the challenges it faces.

Key Takeaways

  • In 2023, machine learning and deep learning technology captured a significant 58.7% share of the chatbots for mental health and therapy market.
  • The Soft-as-a-Service segment accounted for 74.3% of market revenue in 2023, driven by increasing demand for mental healthcare services.
  • Conversational interfaces held a substantial 63.7% share of the market applications segment in 2023.
  • North America dominated the global market for chatbots in mental health and therapy, securing a 41.6% share in 2023.
Chatbots for Mental Health & Therapy Market Size
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Chatbots for Mental Health and Therapy Statistics

  • AI-based conversational agents reduced depression symptoms by 64%, as revealed by a systematic review involving over 3,800 participants.
  • An AI algorithm predicted suicide attempts within the next week with 92% accuracy and within the next two years with 85% accuracy.
  • AI-driven diagnostic tools achieved up to 100% accuracy in diagnosing mental disorders, depending on the condition and dataset used.
  • AI chatbots for health behavior changes had sample sizes ranging from 920 to 991,217 participants, demonstrating scalability and reach.
  • An AI-enabled self-referral tool led to a 15% increase in total referrals across 28 NHS Talking Therapies services in England.
  • AI tools increased mental health service referrals by 235% among non-binary individuals, 30% among bisexual individuals, and 31% among ethnic minorities.
  • A meta-analysis included 15 randomized controlled trials demonstrating the efficacy of AI therapy chatbots in reducing depression symptoms.
  • The analysis of AI therapy chatbots’ efficacy included over 3,800 participants, making it one of the largest studies on this topic.
  • AI models’ accuracy in diagnosing mental disorders ranged between 21% and 100%, highlighting potential improvements in clinical decision-making.
  • An AI self-referral tool increased total referrals by 15%, significantly higher than the 6% baseline increase with traditional methods.
  • Over 300,000 text-based chatbots are available on Facebook Messenger.
  • In 2021, 22% of adults had used a mental health (MH) chatbot.
  • 47% of adults expressed interest in using an MH chatbot if needed.
  • Nearly 60% of MH chatbot users started during the COVID-19 pandemic.
  • 44% of MH chatbot users did not see a human therapist.
  • At least 9 MH chatbot apps have over 500,000 downloads each on app markets.

Emerging Trends

  • Increased Accessibility and Self-Referral: Chatbots are revolutionizing mental health services by making them more accessible and enabling users to self-refer to therapies. This trend has significantly increased the number of diverse referrals, particularly among underserved populations who may have previously faced barriers to accessing mental health care. By offering a straightforward and user-friendly interface, chatbots are breaking down stigmas and providing a more inclusive approach to mental health services. This increased accessibility is crucial in addressing the growing demand for mental health support and ensuring that more people receive the care they need.
  • Advancements in Natural Language Processing (NLP): Technological advancements in Natural Language Processing (NLP) have greatly enhanced the capabilities of chatbots in mental health services. These advancements allow chatbots to understand and generate human-like conversations, making interactions feel more natural and empathetic. As a result, users are more likely to engage with these tools, leading to better therapeutic outcomes. Improved NLP also enables chatbots to recognize and respond to a wide range of emotional cues, providing tailored support that feels personalized and relevant to each individual’s unique situation.
  • 24/7 Availability: One of the key advantages of chatbots in mental health services is their 24/7 availability. This continuous support means that individuals can access mental health assistance at any time, overcoming geographical and scheduling barriers that often prevent people from seeking help. Whether it’s the middle of the night or during a busy workday, chatbots are always ready to provide immediate support and guidance. This round-the-clock availability is especially beneficial for those experiencing urgent mental health issues, ensuring that help is always at hand.
  • Cost-Effective Solutions: Chatbots offer a more affordable option for mental health support compared to traditional therapy. This cost-effectiveness makes mental health services accessible to a larger audience, particularly those with financial constraints who might otherwise forgo treatment. By reducing the financial barrier to access, chatbots are helping to democratize mental health care, ensuring that more people can benefit from therapeutic interventions. Additionally, the scalability of chatbots means that they can serve large populations simultaneously, further driving down costs and increasing accessibility.
  • Personalization and Adaptability: Chatbots in mental health services leverage machine learning algorithms to adapt their responses based on user interactions. This personalized approach enhances the effectiveness of mental health interventions by catering to the unique needs and preferences of each individual. As users continue to interact with the chatbot, the system learns and evolves, providing increasingly tailored and relevant support. This adaptability not only improves user satisfaction but also boosts the overall efficacy of the therapy provided, making it a powerful tool in mental health care.
  • Integration with Telehealth Services: The integration of chatbots with telehealth platforms has expanded significantly, particularly in the wake of the COVID-19 pandemic. This trend is expected to continue, providing a hybrid model of care that combines digital and human support. By seamlessly integrating with telehealth services, chatbots can offer initial assessments and continuous support, while human therapists provide more in-depth and personalized care when needed. This hybrid approach enhances the overall quality of mental health services, ensuring comprehensive care that addresses both immediate and long-term needs.
  • Ethical and Privacy Considerations: As the use of chatbots in mental health services grows, addressing data privacy and ethical concerns has become increasingly important. Ensuring the secure and ethical use of AI in mental health is critical to building trust and protecting users’ sensitive information. Developers are focusing on implementing robust privacy measures and ethical guidelines to safeguard user data and ensure that interactions with chatbots remain confidential. These considerations are essential in promoting the safe and responsible use of AI in mental health care, ensuring that users feel secure and supported.

Use Cases

  • Anxiety and Depression Support: Chatbots like Woebot and Wysa utilize cognitive behavioral therapy (CBT) techniques to assist users in managing anxiety and depression. These digital tools guide individuals through therapeutic exercises and offer practical coping strategies. By simulating a conversational environment, these chatbots provide immediate, round-the-clock support, helping users process their thoughts and emotions. This can be particularly beneficial for those who may not have immediate access to a therapist, offering an accessible and discreet way to manage mental health challenges and fostering a sense of control over one’s mental well-being.
  • Crisis Intervention: In times of immediate distress, chatbots play a crucial role in crisis intervention. Platforms like the Crisis Text Line employ chatbots to initially triage messages, determining the level of urgency. This enables the system to connect users in critical situations with human counselors swiftly. By efficiently managing high volumes of distress calls, chatbots ensure that individuals in urgent need receive timely support, potentially saving lives. This technology provides a vital safety net, offering immediate, text-based support to those in acute mental health crises, and streamlining the process of connecting with professional help.
  • Self-Help Tools: Many chatbots function as self-help tools, providing resources for mindfulness, meditation, and stress reduction. These digital assistants help users cultivate healthy habits and manage daily stressors through structured programs and exercises. By offering guidance on relaxation techniques and mindfulness practices, chatbots empower individuals to take proactive steps in managing their mental health. They can be accessed anytime, providing flexible and personalized support tailored to individual needs, which is especially valuable for people seeking to improve their mental well-being independently and integrate self-care practices into their daily routines.
  • Behavioral Pattern Recognition: Advanced chatbots leverage machine learning to recognize users’ behavioral patterns and provide tailored interventions. This technology can identify early signs of mental health issues, such as changes in mood or behavior, and recommend appropriate actions. By analyzing interaction data, chatbots can offer personalized support and preventative measures, enhancing the effectiveness of mental health care. This capability allows for early detection and intervention, potentially mitigating the progression of mental health conditions and promoting better outcomes through timely, customized support and resources.
  • Educational Resources: Chatbots serve as educational tools, informing users about mental health conditions and available treatments. They provide detailed information on symptoms, treatment options, and self-care practices, empowering individuals to take control of their mental health. By offering accessible and reliable information, chatbots help users understand their conditions better and make informed decisions about their care. This educational support is crucial in reducing stigma and promoting mental health literacy, enabling users to seek appropriate help and adopt effective self-management strategies.
  • Support for Specific Populations: Certain chatbots are designed to cater to the unique needs of specific populations, such as teenagers, veterans, or LGBTQ+ individuals. These specialized chatbots provide targeted support and resources tailored to the distinct challenges faced by these groups. By addressing specific issues and offering culturally competent care, these chatbots enhance accessibility and relevance, making mental health support more inclusive. This personalized approach ensures that users receive support that resonates with their experiences, fostering a greater sense of understanding and connection.
  • Virtual Companionship: For individuals experiencing loneliness or isolation, chatbots can act as virtual companions, providing conversational support and reducing feelings of loneliness. This use case is particularly beneficial for elderly individuals or those who are socially isolated. By engaging in regular conversations, chatbots offer emotional support and companionship, helping to alleviate the negative effects of loneliness. This technology provides a sense of connection and emotional engagement, contributing to improved mental well-being and quality of life for individuals who may otherwise feel disconnected.
  • Data Collection for Research: Chatbots collect valuable data from user interactions, which can be utilized for mental health research. This data helps researchers understand mental health trends and improve chatbot algorithms for better support. By analyzing patterns and outcomes, researchers can gain insights into the effectiveness of different interventions and identify areas for improvement. This continuous feedback loop enhances the overall quality of mental health care provided by chatbots, contributing to the development of more effective and responsive digital mental health tools.


The Chatbots for Mental Health and Therapy Market is set for substantial growth, driven by technological advancements and increasing demand for accessible mental health support. The rising awareness and reduced stigma surrounding mental health issues are encouraging more individuals to seek help, boosting chatbot adoption. These tools provide scalable, 24/7 support, especially valuable in remote or underserved areas. However, challenges remain, such as ensuring ethical data use and improving chatbots’ emotional comprehension. Despite these hurdles, continued investments and innovations suggest a promising future. As chatbots integrate more with digital health tools and telehealth services, their role in mental health care will likely expand, offering personalized and inclusive support to a broader audience.

Trishita Deb

Trishita Deb

Trishita has more than 7 years of experience in market research and consulting industry. She has worked in various domains including healthcare, consumer goods, and materials. Her expertise lies majorly in healthcare and has worked on more than 400 healthcare reports throughout her career.