Artificial Intelligence (AI) in Mental Health Market - Forecasts from 2025 to 2030

The AI in the mental health market is expected to grow at a CAGR of 17.11%, reaching a market size of US$7.20 billion in 2030 from US$3.26 billion in 2025.

Mental illness remains a significant global public health issue, affecting millions of individuals worldwide. Despite the challenges posed by limited access to mental healthcare, stigma, and resource constraints, the integration of artificial intelligence (AI) technologies offers a promising future for mental health care. The AI in the mental health market is experiencing growth due to rising cases of depressive disorders, schizophrenia, and other psychotic disorders. According to the World Health Organization (WHO), approximately 4.4% of 10-14-year-olds and 5.5% of 15-19-year-olds suffer from anxiety disorders.

Drivers of the Artificial Intelligence (AI) in the Mental Health Market:

• Increased Mental Health Awareness and Reduced Stigma: The growing prevalence of mental disorders is a significant factor driving the AI in mental health market. WHO reports that one in seven individuals aged 10-19 experiences a mental disorder, accounting for 15% of the global disease burden in this age group. Suicide ranks as the third leading cause of death among those aged 15-29 years. This escalating mental health crisis has created societal challenges, including substance use disorders; in 2022, 7.74% of adults in the U.S. reported having a substance use disorder.

Moreover, Mental Health America indicates that 19.86% of U.S. adults experienced a mental illness in 2022, with about 56% receiving no treatment. These unmet needs present an opportunity for AI technologies to provide effective solutions.

Geographical Outlook of the Artificial Intelligence (AI) in the Mental Health Market:

• Significant Growth in the United States: The AI in mental health market is witnessing remarkable growth in the United States due to several key drivers, including an increasing prevalence of mental health disorders, advancements in AI technologies, and growing acceptance of telehealth solutions. The rise in issues such as anxiety, depression, and PTSD has created an urgent need for effective treatment options. The COVID-19 pandemic exacerbated these challenges, leading to a surge in demand for mental health services as individuals sought help during heightened stress and uncertainty.

As traditional healthcare systems struggle to meet this demand, AI technologies are emerging as viable solutions to bridge gaps by providing scalable and accessible mental health care. AI-driven platforms can analyze vast amounts of data to offer personalized therapy and real-time emotional support, enhancing the efficiency and effectiveness of mental health services. The U.S. government recognizes AI's potential in healthcare and has implemented initiatives to promote its development. For instance, the American AI Initiative aims to position the U.S. as a leader in artificial intelligence by establishing guidelines for various sectors' applications. Additionally, favorable funding opportunities for mental health technology have attracted investments from both public and private sectors, further driving innovation. The combination of a robust healthcare IT infrastructure and increasing public awareness about mental health issues creates an environment conducive to rapid expansion of AI solutions. In summary, the global AI in mental health market is poised for significant growth driven by rising awareness of mental health issues, technological advancements in AI applications, increasing demand for effective treatment options, and supportive governmental initiatives - particularly within the United States - that foster innovation in this critical sector.

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Report Coverage:

• Historical data & forecasts from 2022 to 2030
• Growth Opportunities, Challenges, Supply Chain Outlook, Regulatory Framework, Customer Behaviour, and Trend Analysis
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Artificial Intelligence (AI) in mental health market has been segmented as following:

• By Technology
  • Machine Learning
  • Natural Language Processing (NLP)
  • Deep Learning
  • Computer Vision
  • Others
• By Application
  • Diagnosis And Treatment
  • Virtual Assistants and Chatbots
  • Mental Health Monitoring
  • Predictive Analytics
  • Others
• By End-User
  • Hospitals And Clinics
  • Mental Health Centers
  • Research Institutions
  • Others
• By Geography
  • North America
    • United States
    • Canada
    • Mexico
  • South America
    • Brazil
    • Argentina
    • Others
  • Europe
    • United Kingdom
    • Germany
    • France
    • Spain
    • Others
  • Middle East and Africa
    • Saudi Arabia
    • UAE
    • Israel
    • Others
  • Asia Pacific
    • Japan
    • China
    • India
    • South Korea
    • Indonesia
    • Thailand
    • Others