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The global AI in mental health market, valued at USD 1.23 billion in 2024, is projected to reach USD 1.81 billion in 2025 and USD 27.77 billion by 2035, representing a CAGR of 31.4% during the forecast period.
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Mental health disorders, such as anxiety and depression are prevailing across the globe, impacting overall health of people. As per the recent study, led by investigators at Johns Hopkins Medicine, nearly 40% of adults with chronic pain experience anxiety and depression. Notably, mental health disorders lead to behavioral changes that further lead to increasing the risk of cognitive impairment and weakening immunity to fight against chronic conditions.
Considering these challenges, several clinicians are aiming to adopt artificial intelligence that enables a personalized approach to treat patients with mental health conditions. Technologies, such as AI-powered natural language processing, predictive analytical tools, and AI algorithm enable brain mapping, analyzing speech, and text data through chatbots, and identify numerous indicators that leads to earlier diagnosis, treatment planning and delivering therapies.
Owing to the increasing adoption of AI technologies in mental health, several market players have shown active interest in this field to develop advanced artificial intelligence-based solutions for patients with mental health conditions. For instance, in January 2025, Indian president Droupadi Murmu inaugurated state-of-the-art facilities and medical equipment at National Institute of Mental Health and Neurosciences to strengthen India’s mental health infrastructure and help patients live a quality life.
Additionally, several industrial players are accelerating innovations to develop AI-powered health applications, software, and services platforms to support mental health. Driven by widespread adoption, rising awareness and ongoing innovations, we believe that artificial intelligence in mental health market will continue to grow exponentially during the forecast period.
The market report provides comprehensive information on AI mental health companies who are currently active across various segments of the industry as mentioned in the table below.
| Key Report Attributes | Details | |
| Historical Trend | Since 2020 | |
| Forecast Period | Till 2035 | |
| Market Size 2025 | USD 1.81 Billion | |
| Market Size 2035 | USD 27.77 Billion | |
| CAGR (Till 2035) | 31.4% | |
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| Type of Disorder |
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| End User |
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| Geographical Regions |
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| Key Companies Profiled |
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| PowerPoint Presentation (Complimentary) |
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| Customization Scope | 15% Free Customization | |
| Excel Data Packs (Complimentary) |
Available | |
One of the key objectives of artificial intelligence in mental health market report was to estimate the current size, opportunity, and the market growth potential, over the forecast period, till 2035. We have provided informed estimates on the likely evolution of the market for the forecast period.
The global AI in mental health market analysis report also features the likely distribution of the current and forecasted opportunity within the market across various segments, such type of offering (software-as-a-service (AI-powered chatbots, virtual therapy platforms, mental health assessment tools, and predictive analytics solutions) and hardware (wearable devices, brain-computer interfaces and virtual reality systems for therapy)), type of technology (machine learning (deep learning and others), natural language processing (text analytics, speech analytics, smart assistance, context-aware computing and others), and other technologies), application area (conversational interfaces and patient behavioral pattern recognition), type of disorder (anxiety, depression, schizophrenia, post-traumatic stress disorder (PTSD), insomnia and others), end user (hospitals and clinics, mental health centers, research institutions and other end users), geographical regions (North America, Europe, Asia Pacific, Middle East and North Africa, and Latin America) and leading players.
In order to account for future uncertainties associated with some of the key parameters and to add robustness to our model, we have provided three AI in mental health market forecast scenarios, namely conservative, base, and optimistic scenarios, representing different tracks of industry’s evolution.
All actual figures have been sourced and analyzed from publicly available information forums and primary research discussions. The financial figures mentioned in this market report are in USD, unless otherwise specified.
Based on the type of offering, the global market is segmented into software-as-a-service (AI-powered chatbots, virtual therapy platforms, mental health assessment tools, and predictive analytics solutions) and hardware (wearable devices, brain-computer interfaces, and virtual reality systems for therapy). According to our AI in mental health market report, presently, the software-as-a-service segment accounts for the highest share (70%) of the market.
Software-as-a-service, such as virtual therapy platforms and AI-powered chatbots are widely used to analyze various parameters to access mental health. Moreover, healthcare predictive analytics solutions aid in patient mental health progression and treatment outcomes, which is expected to be a key driver of this segment. Owing to the widespread adoption, this segment will continue to grow at a steady rate during the forecast period.
This global market is further bifurcated across different type of technology, such as machine learning (deep learning and others), natural language processing (text analytics, speech analytics, smart assistance, context-aware computing, and others), and other technologies. According to the AI in mental health market analysis, currently machine learning holds the largest share (nearly 65%) of the market. This can be attributed to the fact that machine learning is widely used in mental health analysis and predictive outcomes.
However, in the long run, natural language processing is expected to grow at a higher CAGR during the forecast period. This dominance is due to the increasing acceptance of natural language processing solutions, including text analytics tools, speech analytics and context-aware computing which are increasingly used for analyzing broader data for improving mental health.
On the basis of application area, the global market is categorized into conversational interfaces and patient behavioral pattern recognition. Based on the AI in mental health market forecast, currently conversational interfaces hold the highest share (over 70%) of the market. Conversational interfaces, such as virtual assistance and chatbots offer an accessible and natural way to support mental health analysis and treatment.
Moreover, the conversational interface help patients receive personalized support from the healthcare providers to treat mental health conditions. Driven by the accessibility and high adoption among patients, this segment is expected to register a higher CAGR during the forecast period.
The global market is further sub-segmented across different types of disorder, such as anxiety, depression, schizophrenia, post-traumatic stress disorder (PTSD), insomnia and others. According to our projection, presently anxiety segment holds the highest share (over 25%), driven by the increasing incidence of anxiety and growing adoption of AI analytical tools for managing anxiety by patients. Furthermore, AI is currently widely integrated with mental health applications, software and platforms to analysis brain health and offer treatment to the patients.
It is important to highlight here that schizophrenia disorder segment is likely to grow at a higher CAGR during the forecast period. This is potentially because AI technologies play a crucial role in early disease diagnosis and developing treatment of schizophrenia. For instance, AI algorithms, when integrated with virtual reality provide an immersive environment to manage schizophrenia patient’s symptoms.
Based on end users, the global AI in mental health market size is segmented into hospitals and clinics, mental health centers, research institutions and other end users. According to our analysis, hospitals and clinics segments account for the highest share of the market.
This can be attributed to the growing usage of AI technologies and algorithms by healthcare practitioners in hospitals for diagnosing mental health disorders and providing remote consultation to patients. It is important to highlight here that this segment will continue to dominate the market and is expected to grow at a higher CAGR during the forecast period.
The global market is distributed across different geographical regions, such as North America, Europe, Asia-Pacific, Middle East and North Africa, and Latin America. According to our global AI in mental health report, North America is dominating the market by holding 47% share of the market. Several factors, such as rising healthcare infrastructure, and adoption of AI-powered platforms, such as BetterHelp and Talkspace to enhance therapy outcomes.
Additionally, the government organizations in this region are making strategic initiatives to promote mental health care, which is expected to propel the market in this region. However, in Asia-Pacific, the market for AI in mental health is expected to register a higher CAGR during the forecast period. The rising government initiatives and increasing penetration of AI-powered technologies in Asian countries to improve mental health are the key drivers of the market in this region.
The “AI in Mental Health Market: Industry Trends and Global Forecasts, till 2035” market report features an extensive study of the current market landscape, market size, market share, market growth, market trends, market value, market forecast, market outlook, statistics, and future opportunities for AI in mental health companies. The market research report lays emphasis on the AI in mental health technologies / platforms that are being developed. Key takeaways of the market report are briefly discussed below.
The global market for AI in mental health is immensely competitive, featuring the wide array of small, mid-sized and large industrial players. Several AI mental health startups are aiming to enhance technological innovations and drive the development of AI-powered platforms, software, and applications to support mental health.
The AI mental health startups are also gaining interest from the venture capital funds. In May 2025, Ukraine based Pleso Therapy raised USD 1.2 million for expansion in the European region. In the same month Israel based Mentaily raised USD 3 million in seed round which was founded in 2024. For instance, in January 2025, Eleos (global leader in AI for behavioral health) announced about raising USD 60 million in Series C funding round led by Greenfield partners to transform behavioral health of patients using AI agents. Some other start-ups active in this field include Deliberate AI (2020), Mindstate Design Labs (2020), Slingshot AI (2022) and Jimini Health (2023).
To leverage competitive edge, several industrial players are taking strategic initiatives to help patients with mental health. As more market players continue to take strategic initiatives, we believe that the market is expected to remain competitive over the forecast period.
The growing incidence of mental health disorders has necessitated the demand for effective diagnosis and treatment solutions to address the unmet need of patients. Mental health conditions, such as anxiety and depression, may impact on an individual’s working efficiency and affect the overall health of the patients. The use of advanced AI powered predictive analytical tools helps to analyze patients’ mental health by using electronic health records, and datasets from wearable devices, making it a valuable tool for improving mental health conditions.
Furthermore, increasing awareness about consequences associated with mental health conditions on overall health and adoption of wearable medical devices are contributing to the overall growth of the market.
The market growth of AI in mental health is impacted by the high cost, data privacy challenges and limited reach across the globe. Notably, these AI algorithms and technologies require a patient’s personal data to offer accurate analysis. However, the risk associated with data transmission to different technologies may create significant challenges for the AI in mental health technologies providers.
Furthermore, the high cost associated with AI software, technologies and hardware may hinder the adoption across low to middle income countries. Additionally, limited availability of AI technologies in low incomes countries may restrain market growth during the forecast period.
The AI in mental health market is witnessing an upward trajectory driven by the rising adoption of wearable devices and AI-powered Chatbots to analysis mental health parameters. It is important to highlight that AI-powered chatbots use natural language processing to stimulate human-like conversations. These technologies offer personalized support to patients and care providers in designing behavioral therapies for patients.
Additionally, the integration of AI technologies with telepsychiatry platforms helps to enhance virtual consultation and remote monitoring is likely to offer enormous opportunities to industrial players for innovations in this field. Several other trends, such as medical wearable devices to identify sleeping patterns that impact mental health and adoption of digital therapeutics are driving the market growth in the future.
In 2025, the global market for AI in mental health is estimated to be valued at USD 1.81 billion and is poised to reach USD 27.77 billion by 2035. This unprecedented growth is driven by the increasing penetration of AI-powered analytical tools and telehealth services platforms to analyze mental health and providing value-based care. Contrastingly, the market players are focusing on the partnerships for a collaborative approach to enhance the adoption of AI technologies to improve mental health.
For instance, in March 2025, Wysa (AI-backed mental health chatbot company) acquired April Health (San Francisco-based behavioral health company) to enhance virtual mental health services within primary care by combining AI and comprehensive suite of in-person mental healthcare services.
Examples of key players engaged in this domain (which have also been captured in this report) include AiCure, Calmerry, Cognito Therapeutics, Flow Neuroscience, Mental Canvas, Mental Health AI, Moodpath, Sonde Health, Woebot Health, Wysa, X2AI, XenZone and Xiaoying Health. This market report includes an easily searchable excel database of all the companies focusing on the development of AI in mental health technologies.
The market report presents an in-depth analysis, highlighting the capabilities of various companies engaged in this domain across different segments. Amongst other elements, the market report includes:
Several recent developments have taken place in the field of AI in mental health. We have outlined some of these recent initiatives below.