세계의 정신건강 분야 AI 시장 보고서(2025년)
AI in Mental Health Global Market Report 2025
상품코드 : 1824566
리서치사 : The Business Research Company
발행일 : On Demand Report
페이지 정보 : 영문 250 Pages
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한글목차

정신건강 분야 AI 시장 규모는 향후 수년간 비약적인 성장이 예상됩니다. 2029년에는 CAGR 34.7%를 나타내 66억 달러로 성장할 전망입니다. 예측 기간의 성장은 정신건강의 첨단기술 채용 증가, 정신건강에 대한 우려와 의식 증가, AI를 활용한 솔루션의 필요성을 촉진하는 정신건강 전문가의 부족, 정신건강 분야 AI케어에 대한 규제 지원, 정신건강 분석을 위한 웨어러블 및 소셜 미디어 데이터의 사용 증가 등 예측 기간의 주요 동향으로는 맞춤형 치료, 웨어러블과의 통합, 원격 의료 및 가상 케어, AI 용도 확대, 대화형 인터페이스에 대한 수요 증가 등이 있습니다.

향후 5년간의 성장률 34.7%라고 하는 예측은 전회 예측으로부터 0.2%의 소폭의 감소를 반영하고 있습니다. 이 감소는 주로 미국과 다른 국가 간의 관세의 영향 때문입니다. 관세의 부과는 인도와 에스토니아에서 수입되는 AI 주도 심리요법 채팅봇과 디지털 표현형 도구의 비용을 증가시키고 정신건강에 대한 접근성을 저하시키고 원격치료 프로그램의 비용을 증가시킬 수 있기 때문에 미국의 행동치료 서비스를 혼란시킬 수 있습니다. 또한 상호관세와 무역의 긴장과 한계 증가로 인한 세계경제와 무역에 대한 악영향으로 인해 그 영향이 더 넓게 느껴질 것으로 보입니다.

자살 사례의 급증은 향후 수년간 정신건강 분야 AI의 성장을 가속할 전망입니다. 자살의 경우는 개인이 자신의 삶을 끝낼 목적으로 의도적으로 자신에게 해를 끼치는 것을 보여주는 사고, 감정, 행동을 경험하는 사례를 포함합니다. 우울증, 양극성 장애, 정신 분열증, 약물 남용과 같은 정신건강 장애는 자살 염려와 자살 행동의 출현에 크게 기여합니다. 정신건강 분야 AI 기술은 사용자 데이터의 패턴을 분석하여 자살 위험의 초기 징후를 파악하고 시기 적절한 개입과 지원을 촉진하는 데 매우 중요한 역할을 합니다. 예를 들어 미국 질병 예방관리센터의 데이터에 따르면 미국에서 자살 사망자 수 증가가 우려되고 있으며, 2022년에는 전년 대비 2.6% 증가한 4만 9,449명에 달했습니다. 2022년 자살자 수는 남성 3만 9,255명, 여성 1만 194명이었습니다. 그 결과 자살 유병률 증가는 정신건강 분야 AI의 채용을 촉진하는 주요 요인이 되고 있습니다.

목차

제1장 주요 요약

제2장 시장 특징

제3장 시장 동향과 전략

제4장 시장 : 금리, 인플레이션, 지정학, 무역전쟁과 관세, 그리고 코로나 및 회복이 시장에 미치는 영향을 포함한 거시경제 시나리오

제5장 세계의 성장 분석과 전략 분석 프레임워크

제6장 시장 세분화

제7장 지역별/국가별 분석

제8장 아시아태평양 시장

제9장 중국 시장

제10장 인도 시장

제11장 일본 시장

제12장 호주 시장

제13장 인도네시아 시장

제14장 한국 시장

제15장 서유럽 시장

제16장 영국 시장

제17장 독일 시장

제18장 프랑스 시장

제19장 이탈리아 시장

제20장 스페인 시장

제21장 동유럽 시장

제22장 러시아 시장

제23장 북미 시장

제24장 미국 시장

제25장 캐나다 시장

제26장 남미 시장

제27장 브라질 시장

제28장 중동 시장

제29장 아프리카 시장

제30장 경쟁 구도와 기업 프로파일

제31장 기타 주요 기업 및 혁신 기업

제32장 세계 시장 경쟁 벤치마킹과 대시보드

제33장 주요 인수합병(M&A)

제34장 최근 시장 동향

제35장 시장의 잠재력이 높은 국가, 부문, 전략

제36장 부록

KTH
영문 목차

영문목차

Artificial Intelligence (AI) in mental health involves leveraging advanced technology, particularly AI algorithms and computational models, to improve the understanding, diagnosis, treatment, and support for mental health conditions. It aims to provide comprehensive support for individuals facing mental health challenges by enabling better tracking of progress and identification of potential issues.

The main types of AI in mental health include Software-as-a-Service (SaaS) and hardware solutions. Software-as-a-Service (SaaS) is a software licensing and delivery model where software is licensed on a subscription basis and hosted centrally by a third-party provider, allowing users to access it via the internet. These solutions utilize technologies such as natural language processing (NLP), context-aware computing, computer vision, and machine learning. They are applied in various applications including conversational interfaces and patient behavioral pattern recognition. These solutions find application across various end-users such as hospitals and clinics, mental health centers, and research institutions.

Note that the outlook for this market is being affected by rapid changes in trade relations and tariffs globally. The report will be updated prior to delivery to reflect the latest status, including revised forecasts and quantified impact analysis. The report's Recommendations and Conclusions sections will be updated to give strategies for entities dealing with the fast-moving international environment.

The sharp rise in U.S. tariffs and the resulting trade tensions in spring 2025 are having a significant impact on the healthcare sector, especially in the supply of essential medical devices, diagnostic equipment, and pharmaceuticals. Hospitals and healthcare providers are grappling with higher costs for imported surgical tools, imaging systems, and consumables like syringes and catheters, many of which have limited domestic substitutes. These escalating expenses are putting pressure on healthcare budgets, prompting some providers to delay equipment upgrades or pass increased costs on to patients. Furthermore, tariffs on raw materials and components are disrupting the manufacturing of vital drugs and devices, leading to supply chain delays. In response, the industry is adopting diversified sourcing strategies, expanding local production where feasible, and pushing for tariff exemptions on critical medical products.

The AI in mental health market research report is one of a series of new reports from The Business Research Company that provides AI in mental health market statistics, including AI in mental health industry global market size, regional shares, competitors with a AI in mental health market share, detailed AI in mental health market segments, market trends and opportunities, and any further data you may need to thrive in the AI in mental health industry. This AI in mental health market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

The ai in mental health market size has grown exponentially in recent years. It will grow from $1.49 billion in 2024 to $2 billion in 2025 at a compound annual growth rate (CAGR) of 34.3%. The growth in the historic period can be attributed to rapid adoption of machine learning and AI in the healthcare industry, growing awareness of mental health and well-being, increasing prevalence of mental health disorders, rising healthcare costs, and growing demand for personalized treatment and care.

The ai in mental health market size is expected to see exponential growth in the next few years. It will grow to $6.6 billion in 2029 at a compound annual growth rate (CAGR) of 34.7%. The growth in the forecast period can be attributed to increasing adoption of advanced technologies in mental health care, rising mental health concerns and awareness, shortage of mental health professionals driving the need for ai-powered solutions, regulatory support for AI in mental health care, increasing use of wearables and social media data for mental health analysis. Major trends in the forecast period include personalized treatment, integration with wearables, telemedicine and virtual care, expansion of AI applications, growing demand for conversational interfaces.

The forecast of 34.7% growth over the next five years reflects a slight reduction of 0.2% from the previous projection. This reduction is primarily due to the impact of tariffs between the US and other countries. The imposition of tariffs may disrupt U.S. behavioral health services by increasing costs for AI-driven psychotherapy chatbots and digital phenotyping tools imported from India and Estonia, potentially reducing mental health accessibility and raising teletherapy program expenses. The effect will also be felt more widely due to reciprocal tariffs and the negative effect on the global economy and trade due to increased trade tensions and restrictions.

The escalating number of suicidal cases is poised to propel the growth of AI in the mental health market in the coming years. Suicidal cases encompass instances where individuals experience thoughts, feelings, or behaviors indicative of intentionally causing harm to themselves with the aim of terminating their lives. Mental health disorders, including depression, bipolar disorder, schizophrenia, and substance abuse, significantly contribute to the emergence of suicidal thoughts and behaviors. AI technology in mental health plays a pivotal role in identifying early signs of suicidal risk by analyzing patterns in user data, thereby facilitating timely intervention and support. For instance, data from the Centers for Disease Control and Prevention reveals a concerning increase in suicide deaths in the United States, reaching 49,449 in 2022, representing a 2.6% rise from the previous year. Notably, males accounted for a higher number of suicides compared to females, with 39,255 male deaths and 10,194 female deaths in 2022. Consequently, the growing prevalence of suicidal cases emerges as a primary driver propelling the adoption of AI in the mental health market.

Leading entities in the AI in mental health market are actively engaged in developing innovative technologies to expand their market offerings and address critical mental health challenges. One such advancement is the Discovery365, an AI-powered behavioral health system designed to monitor patient progress for one year following discharge from behavioral treatment programs, a period characterized by elevated relapse rates. For instance, in September 2023, Discovery Behavioral Health Inc., in collaboration with Videra Health and Brigham and Women's Hospital, launched Discovery365. This pioneering platform utilizes advanced AI technology to analyze patient data post-discharge, focusing on video-captured analytics to assess patient progress and detect potential signs of struggle or relapse. By extending care beyond treatment programs, Discovery365 aims to mitigate relapse rates and provide vital support to patients during the critical year following treatment completion, thereby bridging the recovery gap in behavioral health care.

In January 2022, Headspace, a leading telehealth company headquartered in the United States, completed the acquisition of Sayana for an undisclosed sum. This strategic move expanded the capabilities of Headspace Health in providing AI-driven mental health and wellness solutions. By integrating Sayana's expertise and technologies, Headspace aims to enhance accessibility and efficiency within its mental health ecosystem, ultimately benefiting its user base. Sayana, also based in the US, specializes in AI-driven mental health and wellness solutions, making it a fitting addition to Headspace's portfolio.

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.

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.

The countries covered in the ai in mental health market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The AI in mental health market consist of revenues earned by entities by providing services such as assessment and screening, therapy and support, monitoring and tracking, research, and analysis. The market value includes the value of related goods sold by the service provider or included within the service offering. The AI in mental health market also includes sales of wearable devices, predictive analytics, and mental health chatbots. Values in this market are 'factory gate' values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

AI in Mental Health Global Market Report 2025 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses on ai in mental health market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

Reasons to Purchase

Where is the largest and fastest growing market for ai in mental health ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The ai in mental health market global report from the Business Research Company answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.

Scope

Table of Contents

1. Executive Summary

2. AI in Mental Health Market Characteristics

3. AI in Mental Health Market Trends And Strategies

4. AI in Mental Health Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Trade Wars and Tariffs, And Covid And Recovery On The Market

5. Global AI in Mental Health Growth Analysis And Strategic Analysis Framework

6. AI in Mental Health Market Segmentation

7. AI in Mental Health Market Regional And Country Analysis

8. Asia-Pacific AI in Mental Health Market

9. China AI in Mental Health Market

10. India AI in Mental Health Market

11. Japan AI in Mental Health Market

12. Australia AI in Mental Health Market

13. Indonesia AI in Mental Health Market

14. South Korea AI in Mental Health Market

15. Western Europe AI in Mental Health Market

16. UK AI in Mental Health Market

17. Germany AI in Mental Health Market

18. France AI in Mental Health Market

19. Italy AI in Mental Health Market

20. Spain AI in Mental Health Market

21. Eastern Europe AI in Mental Health Market

22. Russia AI in Mental Health Market

23. North America AI in Mental Health Market

24. USA AI in Mental Health Market

25. Canada AI in Mental Health Market

26. South America AI in Mental Health Market

27. Brazil AI in Mental Health Market

28. Middle East AI in Mental Health Market

29. Africa AI in Mental Health Market

30. AI in Mental Health Market Competitive Landscape And Company Profiles

31. AI in Mental Health Market Other Major And Innovative Companies

32. Global AI in Mental Health Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The AI in Mental Health Market

34. Recent Developments In The AI in Mental Health Market

35. AI in Mental Health Market High Potential Countries, Segments and Strategies

36. Appendix

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