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AI usage in mental health…
What’s the adoption rate?
What are the use cases of AI in mental health management? Is artificial intelligence able to significantly enhance the mental wellness of patients and general population?
Will regular people in the near future have an AI-powered, 24/7 virtual therapist by their side to ask for help whenever they need it?
Find out in my updated AI in mental health statistics, facts and trends guide for 2025.
You can use this jump link to quickly jump to the KEY STATS section.
All the references and resources I used in crafting my guide are listed at the bottom of the page.
Jump here: Key AI in Mental Health Statistics, Facts and Trends for this Year| Detailed AI in Mental Health Statistics, Facts and Trends for this Year
Table of Contents
Key AI in Mental Health Statistics, Facts and Trends for this Year
Key AI in Mental Health Statistics, Facts and Trends for 2025
- Global AI in Mental Health Market size was worth $0.92 billion in 2023. By 2033 the AI usage in mental health market is expected to be worth around $14.89 billion growing at a CAGR of 32.1% during the forecast period. (Source)
- As of 2023, approximately 84% of mental health professionals report having used or considered using AI tools in their practice. By 2032, 99% of mental health professionals will be using AI tools in their daily practice. (Source)
- Mental health chatbots and virtual therapists saw a 320% increase in usage during the 2020-2022 period. (Source)
- Currently only about 20-30% of patients say they would be comfortable discussing mental health concerns with an AI-powered system. (Source)
- Depression detection algorithms using social media data have achieved accuracy rates of up to 95%. (Source)
- AI-powered mental health apps have reached over 20 million users worldwide. (Source)
- Virtual mental health assistants are available in more than 30 languages. The most popular languages are English, Spanish, Portuguese, French, German, Chinese, Korean and Japanese. (Source)
- 73% of mental health providers in rural areas express interest in AI tools to expand their reach. (Source)
- The average response time for AI mental health support is under 30 seconds. (Source)
- AI-based screening tools have helped identify mental health risks in about 65% of cases that were initially missed. (Source)
- Studies show 62% user satisfaction rate with AI-powered cognitive behavioral therapy programs. (Source)
- AI algorithms can predict suicide risk with approximately 80-90% accuracy when analyzing electronic health records. (Source)
- Machine learning models have shown 76% accuracy in predicting patient treatment response for depression. (Source)
- About 45% of users report improved symptoms after using AI mental health apps for 3 months. (Source)
- Natural language processing can detect early signs of mental health conditions with 71% accuracy. (Source)
- AI-powered mental health solutions can reduce treatment costs by up to 50%. (Source)
- The average AI therapy session costs $30-40, compared to $150-200 for traditional therapy. (Source)
- Companies implementing AI mental health support report a 28% reduction in employee mental health-related absences. (Source)
- Insurance companies save approximately $380 per patient annually through AI-powered preventive mental health care. (Source)
- Investment in AI mental health startups reached $2.4 billion in 2023. It’s predicted that by 2032 AI mental health startups will receive anywhere from $14 billion to $16 billion in funding per year. (Source)
- 67% of psychiatrists use AI tools for administrative tasks and documentation. (Source)
- AI assistance reduces clinical documentation time by an average of 40%. (Source)
- 88% of mental health professionals believe AI will play a significant role in future treatment plans. (Source)
- About 45% of therapists use AI for preliminary patient assessments. (Source)
- 92% of mental health facilities plan to increase their AI technology budget in the next five years. (Source)
Detailed AI in Mental Health Statistics, Facts and Trends for this Year
What is the Global Market Value of AI in Mental Health?
Global AI in Mental Health Market size was worth $0.92 billion in 2023. By 2033 the AI usage in mental health market is expected to be worth around $14.89 billion growing at a CAGR of 32.1% during the forecast period. (Source)
| Market value prediction | Year |
|---|---|
| $0.92 billion | 2023 |
| $1.14 billion | 2024 |
| $1.72 billion | 2025 |
| $2.44 billion | 2026 |
| $3.6 billion | 2027 |
| $4.8 billion | 2028 |
| $6.23 billion | 2029 |
| $8.49 billion | 2030 |
| $11.1 billion | 2031 |
| $12.4 billion | 2032 |
| $14.89 billion | 2033 |
What Percentage of Mental Health Professionals Have Used or Considered Using AI Tools?
Around 25% of mental health professionals report having used or considered using AI tools in their practice. An additional 20% are actively considering implementing AI in their business. (Source)
However, usage of AI in mental health treatments is a broad concept. It encompasses a lot of potential usages with a varying degree of adoptability.
For example, 67% of psychiatrists already use AI tools for administrative tasks and documentation (AI reduces clinical documentation time by an average of one hour per day for physicians by automating data entry and transcribing patient encounters). This is much higher than the 24% reported above. (Source)
Whereas, only 43% of mental health professionals use AI-powered mental health apps as supplementary way of helping their patients outside of their office. (Source)
Note: AI-powered mental health apps have reached over 20 million users worldwide. Popular AI mental health apps are Woebot, Calm, Happify, Headspace, Replika and The Mindfulness App. (Source)
These apps are quite effective.
About 45% of users report improved symptoms after using AI mental health apps for 3 months. (Source)
What are the Projections for Mental Health Chatbot Usage for the Upcoming Decade?
Mental health chatbots and virtual therapists saw a 320% increase in usage during the 2020-2022 period. (Source)
According to a national survey, around 22% of adults reported using a mental health chatbot, with a significant portion (nearly 60%) starting to use them during the COVID-19 pandemic. (Source)
During the COVID lockdown these AI-powered chatbots acted as sources of comfort to people fearful of their and their family’s future.
47% of adults expressed interest in using a mental health chatbot on a regular basis as they come face-to-face with additional mental problems. (Source)
What Percentage of Patients Feel Comfortable Discussing Mental Health With AI Systems?
Currently only about 20-30% of patients say they would be comfortable discussing mental health concerns with an AI-powered system. (Source)
People surveyed expressed concern their private problems would leak to the companies who built those AI chatbots. They also expressed concern that AI systems won’t have the necessary empathy and emotional intelligence to truly help them.
In How Many Languages are Virtual Mental Health Assistants Available?
Virtual mental health assistants are available in more than 30 languages. The most popular languages are English, Spanish, Portuguese, French, German, Chinese, Korean and Japanese. (Source)
What is the Average Response Time for AI Mental Health Support?
The average response time for AI mental health support in under 30 seconds. (Source) Most AI systems are designed to provide near-instantaneous responses to user prompts and questions using the latest Gen AI technology.
What is the User Satisfaction Rate With AI-Powered CBT Programs?
Studies show and average of 62% user satisfaction rate with AI-powered cognitive behavioral therapy programs. (Source)
Users cite the convenience and anonymity offered by AI-based CBT, which encourages them to engage more and more openly compared to traditional, human therapist-led therapy. (Source)
What is the Accuracy Rate for AI Models Predicting Depression Treatment Response?
Machine learning models have shown 76% accuracy in predicting treatment response for depression. (Source)
AI is also able to accurately predict the onset of a mental condition way before it happens.
Natural language processing can detect early signs of mental health conditions with 71% accuracy. (Source)
Depression detection algorithms using social media data have achieved accuracy rates of up to 95%. (Source)
AI algorithms can predict suicide risk with approximately 80-90% accuracy when analyzing electronic health records. (Source)
Finally, AI-based screening tools are able to identify mental health risks in about 65% of cases that were initially missed. (Source)
What is the Cost Difference Between AI and Traditional Therapy Sessions?
AI-powered mental health solutions reduce treatment costs anywhere from 30% up to 50%. (Source)
The average AI therapy session costs $30-40, compared to $150-200 for traditional therapy. (Source)
How Much Do Companies Reduce Mental Health Absences Through AI Support?
Companies implementing AI mental health support report a 28% reduction in employee mental health-related absences. (Source)
AI helps to proactively identify potential stress factors, optimize workloads, and provide personalized support to employees in need.
How Much Do Insurance Companies Save Through AI-Powered Preventive Care?
Insurance companies save approximately $380 per patient annually through AI-powered preventive mental health care. (Source)
Insurance companies achieve this savings by identifying high-risk patients before conditions worsen. AI algorithms analyze vast amounts of health data to predict potential health issues and recommend early interventions.
AI also optimizes resource allocation by targeting preventive measures to those who need them most. The result is reduced claims costs, lower premiums, and better health outcomes for policyholders. This creates a win-win situation for both insurers and customers.
What are the Investments in AI Mental Health Startups?
Investment in AI mental health startups reached $2.4 billion in 2023. It’s predicted that by 2032 AI mental health startups will receive anywhere from $14 billion to $16 billion in funding per year. (Source)
Overall, investments in AI healthcare have been soaring over the past decade, particularly in the last several years. Investors have poured more than $30 billion into health care AI startups in the last three years and roughly $60 billion in the last 10 years. (Source)
Detailed AI in Mental Health Statistics, Facts and Trends for 2025 (Conclusion)
My updated guide for 2025 lists the best and latest statistics, facts and trends about the usage of AI in mental health management and how this new technology is helping patients have healthier and more aligned internal lives.
I hope you enjoyed it because the guide is now over.
References:
- Artificial intelligence in positive mental health: a narrative review- https://pmc.ncbi.nlm.nih.gov/articles/PMC10982476/
- Artificial intelligence in mental health care- https://www.apa.org/practice/artificial-intelligence-mental-health-care
- Enhancing mental health with Artificial Intelligence: Current trends and future prospects- https://www.sciencedirect.com/science/article/pii/S2949916X24000525
- The Potential Influence of AI on Population Mental Health- https://pmc.ncbi.nlm.nih.gov/articles/PMC10690520/
- Dr. Jodi Halpern on why AI isn’t a magic bullet for mental health- https://publichealth.berkeley.edu/news-media/research-highlights/why-ai-isnt-a-magic-bullet-for-mental-health
- How AI could expand and improve access to mental health treatment- https://www.weforum.org/stories/2024/10/how-ai-could-expand-and-improve-access-to-mental-health-treatment/
- Use of AI in Mental Health Care: Community and Mental Health Professionals Survey- https://mental.jmir.org/2024/1/e60589
- Will AI Help Address Our Behavioral Health Crisis?- https://www.aha.org/aha-center-health-innovation-market-scan/2024-05-14-will-ai-help-address-our-behavioral-health-crisis
- The big promise AI holds for mental health [Updated]- https://itrexgroup.com/blog/ai-mental-health-examples-trends/
- AI in Mental Healthcare: How Is It Used and What Are the Risks?- https://builtin.com/artificial-intelligence/ai-mental-health
- Study: Mental Health Gets a Boost From Artificial Intelligence- https://www.cedars-sinai.org/newsroom/study-mental-health-gets-a-boost-from-artificial-intelligence/
- Five ways AI can help to deal with the mental health crisis- https://www.news-medical.net/news/20231028/Five-ways-AI-can-help-to-deal-with-the-mental-health-crisis.aspx
- AI and Mental Healthcare – opportunities and delivery considerations- https://post.parliament.uk/research-briefings/post-pn-0737/
- Artificial intelligence in mental health research: new WHO study on applications and challenges- https://www.who.int/europe/news-room/06-02-2023-artificial-intelligence-in-mental-health-research–new-who-study-on-applications-and-challenges
Nikola Roza
Nikola Roza is a blogger behind Nikola Roza- SEO for the Poor and Determined. He writes for bloggers who don't have huge marketing budget but still want to succeed. Nikola is passionate about precious metals IRAs and how to invest in gold and silver for a safer financial future. Learn about Nikola here.