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Key Trend Reshaping the AI in Mental Health Market in 2025: AI-Powered Post-Discharge Monitoring Systems Revolutionize Mental Health Care
What combination of drivers is leading to accelerated growth in the ai in mental health market?As the number of suicides continue to rise, it is anticipated that the use of artificial intelligence (AI) in the mental health sector will also increase. Suicides are instances where individuals intentionally harm themselves with the aim of ending their own existence. Such actions often stem from mental health issues like depression, bipolar disorder, schizophrenia, and substance abuse. AI enables early detection of suicide risks by analyzing the patterns in user data and providing necessary intervention and support on time. It's worth noting that, as per the Centers for Disease Control and Prevention, a government agency in the US, suicide deaths in the country reached 49,449 in 2022 from 48,183 in 2021, a 2.6% rise. Of these, males had a higher suicide rate with 39,255 deaths, while females accounted for 10,194 deaths in 2022. Thus, the escalating suicide rates are indeed driving the expansion of AI in the mental health sector.
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What is the projected compound annual growth rate (CAGR) of the ai in mental health market from 2025 to 2034, and what factors influence it?
The market size of AI in mental health has experienced substantial expansion in the past few years. It is projected to escalate from $1.49 billion in 2024 to $2.01 billion in 2025, with a compound annual growth rate (CAGR) of 35.2%. Factors contributing to this growth in the prior period include swift adoption of machine learning and AI in the healthcare sector, increased recognition of mental health and well-being, a rising incidence of mental health disorders, increasing healthcare expenses, and a growing appetite for tailored treatment and care.
The market size of AI in mental health is predicted to experience significant expansion in the forthcoming years, swelling to $6.68 billion by 2029 with a CAGR of 34.9%. This anticipated progress during the projected timeframe can be connected to a growing acceptance of cutting-edge technologies in mental health services, an increase in mental health issues and awareness, lack of mental health professionals calling for the implementation of AI-powered solutions, regulatory backing for AI in mental health care, as well as an expanded use of wearable tech and social media data in the field of mental health analysis. Key trends projected during this period comprise individualized treatment methods, incorporation with wearable tech, the rise of telemedicine and virtual care, proliferation of AI applications, and an escalating demand for conversational interfaces.
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How are the latest trends influencing the growth of the ai in mental health market?
Key players in the AI mental health market are focusing on innovation to broaden their market presence, by introducing pioneering technology like Discovery365, an AI-enabled behavioral healthcare system. This platform is employed to track patient recovery for a year following their release from a behavior-linked therapy plan, a phase primarily characterized by high possibilities of relapse. In September 2023, for instance, Discovery Behavioral Health Inc., the mental health services firm based in the US and Videra Health and Brigham and Women's Hospital, an American academic medical center, launched the first-ever AI-system of its kind, Discovery365. This system aims to fill the one-year recovery gap in behavioral health through its advanced AI capabilities to study post-discharge patient data, with an emphasis on video analytics to assess patient improvement and spot possible signs of struggle or relapse. The goal of Discovery365 is to lower relapse occurrences and help patients in the crucial year succeeding the end of their treatment by extending care beyond therapy programs.
What are the major segments of the ai in mental health market and their role in driving growth?
The AI in mental health market covered in this report is segmented -
1) By Component: Software-As-A-Service (SaaS), Hardware
2) By Technology: Natural Language Processing (NLP), Context-Aware Computing, Computer Vision, Machine learning
3) By Application: Conversational Interfaces, Patient Behavioral Pattern Recognition
4) By End-User: Hospitals And Clinics, Mental Health Centers, Research Institutions
Subsegments:
1) By Software-As-A-Service (SaaS): AI-Powered Chatbots, Virtual Therapy Platforms, Mental Health Assessment Tools, Predictive Analytics Solutions
2) By Hardware: Wearable Devices, Brain-Computer Interfaces, Virtual Reality Systems For Therapy
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Which regions are key players in the growth of the ai in mental health market?
North America was the largest region in the AI in mental health market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the AI in mental health market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
Who are the key firms paving the way for growth in the ai in mental health market?
Major companies operating in the AI in mental health market are BetterHelp, Lyra Health, American Well Corporation, Doctor on Demand, Cerebral, MDLive, Talkspace Inc., Ginger, Quartet Health, Meditopia, Mantra Health, Happify Health, Woebot Health, Kintsugi, Marigold Health, SilverCloud Health, Cognoa, BioBeats, MeQuilibrium, Mightier, Nue Life, Mindstrong Health, Oliva Health, Wysa Ltd., New life solution Inc.
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What Is Covered In The AI in Mental Health Global Market Report?
• Market Size Forecast: Examine the ai in mental health market size across key regions, countries, product categories, and applications.
• Segmentation Insights: Identify and classify subsegments within the ai in mental health market for a structured understanding.
• Key Players Overview: Analyze major players in the ai in mental health market, including their market value, share, and competitive positioning.
• Growth Trends Exploration: Assess individual growth patterns and future opportunities in the ai in mental health market.
• Segment Contributions: Evaluate how different segments drive overall growth in the ai in mental health market.
• Growth Factors: Highlight key drivers and opportunities influencing the expansion of the ai in mental health market.
• Industry Challenges: Identify potential risks and obstacles affecting the ai in mental health market.
• Competitive Landscape: Review strategic developments in the ai in mental health market, including expansions, agreements, and new product launches.
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