サンプル依頼リスト カート
  • English
  • Korean
  • Traditional Chinese
  • Simplified Chinese
表紙：メンタルヘルス向け人工知能（AI）の世界市場：2023-2030年
市場調査レポート
商品コード
1380460

メンタルヘルス向け人工知能（AI）の世界市場：2023-2030年

Global Artificial Intelligence (AI) in Mental Health Market 2023-2030

出版日
ページ情報
英文 185 Pages
納期
2～3営業日
カスタマイズ可能
価格
価格表記: USDを日本円(税抜)に換算
本日の銀行送金レート: 1USD=146.82円
メンタルヘルス向け人工知能（AI）の世界市場：2023-2030年
出版日: 2023年10月02日
発行: Orion Market Research
ページ情報: 英文 185 Pages
納期: 2～3営業日
GIIご利用のメリット
  • 全表示
  • 概要
  • 図表
  • 目次
概要

世界のメンタルヘルス向け人工知能（AI）市場は、予測期間（2023-2030年）にCAGR 38.1％で成長すると予測されます。世界の自殺者数の増加と精神障害に対する意識の高まりが市場の重要な促進要因2023年8月に世界保健機関（WTO）が発表した報告書によると、毎年700万人以上が自殺により死亡しています。高所得国では、自殺と精神障害（特にうつ病とアルコール使用障害）との関連や、自殺未遂の経験が十分に確立されており、自殺の多くは、経済的な問題、人間関係の破綻、慢性的な痛みや病気など、生活上のストレスに対処する能力が低下した危機的な瞬間に衝動的に起こります。それゆえ、市場プレーヤーはヘルスケア分野全体でAIベースの先進的なメンタルヘルスソリューションに注力しています。例えば、2020年6月、BiobeatはMediCompareの「メンタルヘルス医療技術スタートアップ・トップ10」に掲載されました。Biobeatのデバイスは、メンタルヘルスのプロバイダーが患者の危機から回復までをモニタリングするのに役立ちます。

セグメント別の展望

NLPは精神医学において不可欠であり、言語ベースの欠損はうつ病、行動障害、ASD、人格障害、統合失調症の一般的な症状です。

機械学習・ディープラーニングのサブセグメントは、メンタルヘルス向け人工知能（AI）の世界市場でかなりのシェアを占めると予測される

技術別では、機械学習・ディープラーニングのサブセグメントが、メンタルヘルス向け人工知能（AI）の世界市場でかなりのシェアを占めると予想されています。国立医学図書館によると、MLシステムはデータからモデルを自動的に学習し、より良い意思決定を行う。このように、MLシステムは人工知能（AI）の主要なサブ分野の一部です。データからの学習には、教師あり学習、教師なし学習、強化学習の3つの主なアプローチがあり、特にウェブやスマートフォンのアプリは、メンタルヘルスケアを強化するためにAIを取り入れています。Headspaceアプリを通じて、オンデマンドでセルフガイドのアクティビティを行い、積極的なスキルを身につけ、日常のウェルビーイングを高める。従業員は、エビデンスに基づいたガイド付き瞑想、マインドフルなウォーキングやランニングなどの目を開くエクササイズ、呼吸法やウインドダウンエクササイズ、集中音楽、睡眠コンテンツなど、1,000時間以上のマインドフルネスコンテンツにアクセスできます。

地域別展望

世界のメンタルヘルス向け人工知能（AI）市場は、北米（米国、カナダ）、欧州（英国、イタリア、スペイン、ドイツ、フランス、その他欧州地域）、アジア太平洋地域（インド、中国、日本、韓国、その他アジア地域）、世界のその他の地域（中東とアフリカ、ラテンアメリカ）を含む地域別にさらに区分されます。なかでも北米は、医療インフラが整備されていること、質の高い専門家による支援が受けられること、メンタルヘルスの啓発と治療に力を入れていることなどから、全世界の市場で突出したシェアを占めると予想されます。

メンタルヘルス向け人工知能（AI）の世界市場において、アジア太平洋地域が大きなCAGRで成長すると予測される

すべての地域の中で、アジア太平洋地域は予測期間中にかなりのCAGRで成長すると予測されています。この地域の成長は、アジア諸国全体でAIへの投資が増加していることに起因しています。香港理工大学によると、中国、インドを含むアジア市場での世界市場プレイヤーの拡大、ITインフラの革新や開発などの開発、またAIベースの技術に集中する起業家企業が市場を牽引しています。メンタルヘルス研究センター（MHRC）は、基礎科学、臨床介入、社会政策を三角形に並べたコア研究に努めており、精神疾患の背後にあるメカニズムや治療するための実用的な手段を包括的に探求し、香港をはじめとする個人の幸福や社会政策に影響を与えることができます。

目次

第1章 レポート概要

  • 業界の現状分析と成長ポテンシャルの展望
  • 調査方法とツール
  • 市場内訳
    • セグメント別
    • 地域別

第2章 市場概要と洞察

  • 調査範囲
  • アナリストの洞察と現在の市場動向
    • 主な調査結果
    • 推奨事項
    • 結論

第3章 競合情勢

  • 主要企業分析
  • Lyra Health, Inc.
    • 概要
    • 財務分析
    • SWOT分析
    • 最近の動向
  • Marigold Health
    • 会社概要
    • 財務分析
    • SWOT分析
    • 最近の動向
  • New Life Counseling and Mental Health LLC
    • 概要
    • 財務分析
    • SWOT分析
    • 最近の動向
  • 主要戦略分析

第4章 市場セグメンテーション

  • メンタルヘルス向け人工知能（AI）の世界市場：技術別
    • 機械学習（ML）・ディープラーニング
    • 自然言語処理（NLP）
    • 仮想現実（VR）／拡張現実（AR）
    • その他（アナリティクス、音声認識、コンピュータビジョン）
  • メンタルヘルス向け人工知能（AI）の世界市場：用途別
    • 患者の行動パターン認識
    • メンタルヘルス診断と評価
    • 個別化治療
    • バーチャル治療とチャットボットサポート
    • メンタルヘルスのモニタリングと追跡
    • 研究開発
  • メンタルヘルス向け人工知能（AI）の世界市場：コンポーネント別
    • SaaS
    • ハードウェア

第5章 地域分析

  • 北米
    • 米国
    • カナダ
  • 欧州
    • 英国
    • ドイツ
    • イタリア
    • スペイン
    • フランス
    • その他欧州
  • アジア太平洋
    • 中国
    • インド
    • 日本
    • 韓国
    • その他アジア太平洋地域
  • 世界のその他の地域

第6章 企業プロファイル

  • Biobeat
  • Ginger.io, Inc.
  • Meru
  • Mindspring Mental Health Alliance
  • New Life Solution, Inc.
  • Quartet
  • Spring Care Inc.
  • Talkspace
  • Woebot Health
  • Wysa Ltd.
図表

LIST OF TABLES

  • 1. GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN MENTAL HEALTH MARKET RESEARCH AND ANALYSIS BY TECHNOLOGY, 2022-2030 ($ MILLION)
  • 2. GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN MACHINE LEARNING AND DEEP LEARNING MENTAL HEALTH MARKET RESEARCH AND ANALYSIS BY REGION,2022-2030 ($ MILLION)
  • 3. GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN NATURAL LANGUAGE PROCESSING MENTAL HEALTH MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 4. GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN MENTAL HEALTH MARKET RESEARCH AND ANALYSIS BY APPLICATION, 2022-2030 ($ MILLION)
  • 5. GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN MENTAL HEALTH FOR CONVERSATIONAL INTERFACES MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 6. GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN MENTAL HEALTH FOR PATIENT BEHAVIORAL PATTERN RECOGNITION MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 7. GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN MENTAL HEALTH MARKET RESEARCH AND ANALYSIS BY COMPONENT, 2022-2030 ($ MILLION)
  • 8. GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN MENTAL HEALTH BY SOFTWARE-AS-A-SERVICE (SAAS) MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 9. GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN MENTAL HEALTH BY HARDWARE MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 10. GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN MENTAL HEALTH MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 11. NORTH AMERICAN ARTIFICIAL INTELLIGENCE (AI) IN MENTAL HEALTH MARKET RESEARCH AND ANALYSIS BY TECHNOLOGY, 2022-2030 ($ MILLION)
  • 12. NORTH AMERICAN ARTIFICIAL INTELLIGENCE (AI) IN MENTAL HEALTH MARKET RESEARCH AND ANALYSIS BY APPLICATION, 2022-2030 ($ MILLION)
  • 13. NORTH AMERICAN ARTIFICIAL INTELLIGENCE (AI) IN MENTAL HEALTH MARKET RESEARCH AND ANALYSIS BY COMPONENT, 2022-2030 ($ MILLION)
  • 14. EUROPEAN ARTIFICIAL INTELLIGENCE (AI) IN MENTAL HEALTH MARKET RESEARCH AND ANALYSIS BY TECHNOLOGY, 2022-2030 ($ MILLION)
  • 15. EUROPEAN ARTIFICIAL INTELLIGENCE (AI) IN MENTAL HEALTH MARKET RESEARCH AND ANALYSIS BY APPLICATION, 2022-2030 ($ MILLION)
  • 16. EUROPEAN ARTIFICIAL INTELLIGENCE (AI) IN MENTAL HEALTH MARKET RESEARCH AND ANALYSIS BY COMPONENT, 2022-2030 ($ MILLION)
  • 17. ASIA- PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN MENTAL HEALTH MARKET RESEARCH AND ANALYSIS BY TECHNOLOGY, 2022-2030 ($ MILLION)
  • 18. ASIA- PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN MENTAL HEALTH MARKET RESEARCH AND ANALYSIS BY APPLICATION, 2022-2030 ($ MILLION)
  • 19. ASIA- PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN MENTAL HEALTH MARKET RESEARCH AND ANALYSIS BY COMPONENT, 2022-2030 ($ MILLION)
  • 20. REST OF THE WORLD ARTIFICIAL INTELLIGENCE (AI) IN MENTAL HEALTH MARKET RESEARCH AND ANALYSIS BY TECHNOLOGY, 2022-2030 ($ MILLION)
  • 21. REST OF THE WORLD ARTIFICIAL INTELLIGENCE (AI) IN MENTAL HEALTH MARKET RESEARCH AND ANALYSIS BY APPLICATION, 2022-2030 ($ MILLION)
  • 22. REST OF THE WORLD ARTIFICIAL INTELLIGENCE (AI) IN MENTAL HEALTH MARKET RESEARCH AND ANALYSIS BY COMPONENT, 2022-2030 ($ MILLION)

LIST OF FIGURES

  • 1. GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN MENTAL HEALTH MARKET SHARE BY TECHNOLOGY, 2022 VS 2030 (%)
  • 2. GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN MACHINE LEARNING AND DEEP LEARNING MENTAL HEALTH MARKET SHARE BY REGION, 2022 VS 2030 (%)
  • 3. GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN NATURAL LANGUAGE PROCESSING MENTAL HEALTH MARKET SHARE BY REGION, 2022 VS 2030 (%)
  • 4. GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN MENTAL HEALTH MARKET SHARE BY APPLICATION, 2022 VS 2030 ($ MILLION)
  • 5. GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN MENTAL HEALTH FOR CONVERSATIONAL INTERFACES MARKET SHARE BY REGION, 2022 VS. 2030 (%)
  • 6. GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN MENTAL HEALTH FOR PATIENT BEHAVIORAL PATTERN RECOGNITION MARKET SHARE BY REGION, 2022 VS. 2030 (%)
  • 7. GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN MENTAL HEALTH MARKET SHARE BY INDUSTRY COMPONENT, 2022-2030 ($ MILLION)
  • 8. GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN MENTAL HEALTH BY SOFTWARE-AS-A-SERVICE (SAAS) MARKET SHARE BY REGION, 2022 VS 2030 (%)
  • 9. GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN MENTAL HEALTH BY HARDWARE MARKET SHARE BY REGION, 2022 VS 2030 (%)
  • 10. GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN MENTAL HEALTH MARKET SHARE BY REGION, 2022 VS 2030 (%)
  • 11. US ARTIFICIAL INTELLIGENCE (AI) IN MENTAL HEALTH MARKET SIZE, 2022-2030 ($ MILLION)
  • 12. CANADA ARTIFICIAL INTELLIGENCE (AI) IN MENTAL HEALTH MARKET SIZE, 2022-2030 ($ MILLION)
  • 13. UK ARTIFICIAL INTELLIGENCE (AI) IN MENTAL HEALTH MARKET SIZE, 2022-2030 ($ MILLION)
  • 14. FRANCE ARTIFICIAL INTELLIGENCE (AI) IN MENTAL HEALTH MARKET SIZE, 2022-2030 ($ MILLION)
  • 15. GERMANY ARTIFICIAL INTELLIGENCE (AI) IN MENTAL HEALTH MARKET SIZE, 2022-2030 ($ MILLION)
  • 16. ITALY ARTIFICIAL INTELLIGENCE (AI) IN MENTAL HEALTH MARKET SIZE, 2022-2030 ($ MILLION)
  • 17. SPAIN ARTIFICIAL INTELLIGENCE (AI) IN MENTAL HEALTH MARKET SIZE, 2022-2030 ($ MILLION)
  • 18. REST OF EUROPE ARTIFICIAL INTELLIGENCE (AI) IN MENTAL HEALTH MARKET SIZE, 2022-2030 ($ MILLION)
  • 19. INDIA ARTIFICIAL INTELLIGENCE (AI) IN MENTAL HEALTH MARKET SIZE, 2022-2030 ($ MILLION)
  • 20. CHINA ARTIFICIAL INTELLIGENCE (AI) IN MENTAL HEALTH MARKET SIZE, 2022-2030 ($ MILLION)
  • 21. JAPAN ARTIFICIAL INTELLIGENCE (AI) IN MENTAL HEALTH MARKET SIZE, 2022-2030 ($ MILLION)
  • 22. SOUTH KOREA ARTIFICIAL INTELLIGENCE (AI) IN MENTAL HEALTH MARKET SIZE, 2022-2030 ($ MILLION)
  • 23. REST OF ASIA-PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN MENTAL HEALTH MARKET SIZE, 2022-2030 ($ MILLION)
  • 24. REST OF THE WORLD ARTIFICIAL INTELLIGENCE (AI) IN MENTAL HEALTH MARKET SIZE, 2022-2030 ($ MILLION)
目次
Product Code: OMR2027856

Title: Global Artificial Intelligence (AI) in Mental Health Market Size, Share & Trends Analysis Report by Technology (Machine Learning and Deep Learning, Natural Language Processing (NLP)), by Application (Conversational Interfaces, Patient Behavioral Pattern Recognition), and by Component (Software-as-a-Service (SaaS), Hardware),Forecast Period (2023-2030).

The global artificial Intelligence (AI) in mental health market is anticipated to grow at a CAGR of 38.1% during the Forecast Period (2023-2030). Globally increasing number of suicide cases and growing awareness of mental disorder are significant driving factors of the market According to a report published by the World Health Organization (WTO) on August 2023, more than 7,00,000 people die due to suicide every year. The link between suicide and mental disorders (in particular, depression and alcohol use disorders) and a previous suicide attempt is well established in high-income countries, many suicides happen impulsively in moments of crisis with a breakdown in the ability to deal with life stresses, such as financial problems, relationship break-up or chronic pain and illness. Hence, the market players are focusing on advanced AI-based mental health solutions across the healthcare sector for instance, In June 2020, Biobeat was mentioned in the MediCompare "Top 10 Mental Health Medtech Startups". Biobeats devices can be utilized to help aid mental healthcare providers in monitoring their patients from crisis to recovery.

Segmental Outlook

The global artificial Intelligence (AI) in mental health market is segmented on the technology, application, and component. Based on the technology, the market is sub-segmented into machine learning deep learning, and natural language processing (NLP). Based on the application, the market is sub-segmented into conversational interfaces and patient behavioral pattern recognition. Further, on the basis of components, the market is sub-segmented into software-as-a-service (SaaS) and hardware. Among all the natural language processing (NLP) sub-segments is anticipated to hold a considerable share of the market

because NLP is essential in psychiatry language-based deficits are common symptoms of depression, behavioral disorder, ASD, personality disorder, and schizophrenia.

The Machine Learning and Deep Learning Sub-Segment is Anticipated to Hold a Considerable Share of the Global Artificial Intelligence (AI) in the Mental Health Market

Among the vertical, the machine learning and deep learning sub-segment is expected to hold a considerable share of the global artificial Intelligence (AI) in mental health. According to the National Library of Medicine, ML systems automatically learn models from data to make better decisions. As such, they are part of a major subfield of artificial intelligence (AI). There are three main approaches to learning from data such as supervised, unsupervised, and reinforcement learning, especially web and smartphone apps, are incorporating AI to enhance mental health care for Instance, in January 2023, Ginger.io, Inc. On-demand, self-guided activities through the Headspace app to build proactive skills and enhance everyday wellbeing. Employees can access more than 1,000 hours of mindfulness content from evidence-based guided meditations, eyes-open exercises like mindful walks and runs, breathing and wind-down exercises, focus music, sleep content, and more.

Regional Outlook

The global artificial Intelligence (AI) in the mental health market is further segmented based on geography including North America (the US, and Canada), Europe (UK, Italy, Spain, Germany, France, and the Rest of Europe), Asia-Pacific (India, China, Japan, South Korea, and Rest of Asia), and the Rest of the World (the Middle East & Africa, and Latin America. Among these, North America is anticipated to hold a prominent share of the market across the globe, due to the well-established healthcare infrastructure, availability of high-quality professional assistance, and a strong focus on mental health awareness and treatments.

The Asia-Pacific Region is Expected to Grow at a Significant CAGR in the Global Artificial Intelligence (AI) in Mental Health

Among all regions, the Asia-Pacific region is anticipated to grow at a considerable CAGR over the forecast period. Regional growth is attributed to increasing investment flow in AI across Asian countries. Expansion of global market players in the Asian markets including China, and India, and in development such as IT infrastructure innovation and development, and also the entrepreneurial companies concentrating on AI-based technologies is driving the market according to The Hong Kong Polytechnic University, The mental health research entre (MHRC) strives to triangulate basic science, clinical intervention and social policy in our core research so that we can comprehensively explore the mechanisms behind mental illnesses and the practical measures for treating them, to make an impact on individual well-being and the social policy in Hong Kong and beyond.

Market Players Outlook

The major companies serving the global artificial Intelligence (AI) in the mental health market include: Lyra Health, Inc., Marigold Health, New Life Counseling, Mental Health LLC, and others. The market players are considerably contributing to the market growth by the adoption of various strategies including mergers and acquisitions, partnerships, collaborations, funding, and new product launches, to stay competitive in the market. For instance, in January 2022, Lyra Health acquired ICAS World to expand its mental health care services globally with this acquisition, lyra, and ICAS are setting a new standard for global mental health care. Companies around the world will now have a single source for innovative, evidence-based, culturally responsive mental health benefits for employees and their families

The Report Covers:

  • Market value data analysis of 2022 and forecast to 2030.
  • Annualized market revenues ($ million) for each market segment.
  • Country-wise analysis of major geographical regions.
  • Key companies operating in the global artificial Intelligence (AI) in mental health market. Based on the availability of data, information related to new product launches, and relevant news is also available in the report.
  • Analysis of business strategies by identifying the key market segments positioned for strong growth in the future.
  • Analysis of market-entry and market expansion strategies.
  • Competitive strategies by identifying 'who-stands-where' in the market.

Table of Contents

1. Report Summary

  • Current Industry Analysis and Growth Potential Outlook
  • 1.1. Research Methods and Tools
  • 1.2. Market Breakdown
    • 1.2.1. By Segments
    • 1.2.2. By Region

2. Market Overview and Insights

  • 2.1. Scope of the Report
  • 2.2. Analyst Insight & Current Market Trends
    • 2.2.1. Key Findings
    • 2.2.2. Recommendations
    • 2.2.3. Conclusion

3. Competitive Landscape

  • 3.1. Key Company Analysis
  • 3.2. Lyra Health, Inc.
    • 3.2.1. Overview
    • 3.2.2. Financial Analysis
    • 3.2.3. SWOT Analysis
    • 3.2.4. Recent Developments
  • 3.3. Marigold Health
    • 3.3.1. Overview
    • 3.3.2. Financial Analysis
    • 3.3.3. SWOT Analysis
    • 3.3.4. Recent Developments
  • 3.4. New Life Counseling and Mental Health LLC
    • 3.4.1. Overview
    • 3.4.2. Financial Analysis
    • 3.4.3. SWOT Analysis
    • 3.4.4. Recent Developments
  • 3.5. Key Strategy Analysis

4. Market Segmentation

  • 4.1. Global Artificial Intelligence (AI) in Mental Health Market by Technology
    • 4.1.1. Machine Learning (ML) and Deep Learning
    • 4.1.2. Natural Language Processing (NLP)
    • 4.1.3. Virtual Reality (VR)/ Augmented Reality (AR)
    • 4.1.4. Others (Analytics, Speech Recognition, Computer Vision)
  • 4.2. Global Artificial Intelligence (AI) in Mental Health Market by Application
    • 4.2.1. Patient Behavioral Pattern Recognition
    • 4.2.2. Mental health diagnosis and assessment
    • 4.2.3. Personalized treatment
    • 4.2.4. Virtual Therapies and chatbot support
    • 4.2.5. Mental Health Monitoring and Tracking
    • 4.2.6. Research and Development
  • 4.3. Global Artificial Intelligence (AI) in Mental Health Market by Component
    • 4.3.1. Software-as-a-Service (SaaS)
    • 4.3.2. Hardware

5. Regional Analysis

  • 5.1. North America
    • 5.1.1. United States
    • 5.1.2. Canada
  • 5.2. Europe
    • 5.2.1. UK
    • 5.2.2. Germany
    • 5.2.3. Italy
    • 5.2.4. Spain
    • 5.2.5. France
    • 5.2.6. Rest of Europe
  • 5.3. Asia-Pacific
    • 5.3.1. China
    • 5.3.2. India
    • 5.3.3. Japan
    • 5.3.4. South Korea
    • 5.3.5. Rest of Asia-Pacific
  • 5.4. Rest of the World

6. Company Profiles

  • 6.1. Biobeat
  • 6.2. Ginger.io, Inc.
  • 6.3. Meru
  • 6.4. Mindspring Mental Health Alliance
  • 6.5. New Life Solution, Inc.
  • 6.6. Quartet
  • 6.7. Spring Care Inc.
  • 6.8. Talkspace
  • 6.9. Woebot Health
  • 6.10. Wysa Ltd.