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心理健康領域人工智慧的全球市場：預測（2023-2028）
市場調查報告書
商品編碼
1410107

心理健康領域人工智慧的全球市場：預測（2023-2028）

AI in Mental Health Market - Forecasts from 2023 to 2028
出版日期: | 出版商: Knowledge Sourcing Intelligence | 英文 150 Pages | 商品交期: 最快1-2個工作天內

價格
簡介目錄

2021年全球人工智慧在心理健康領域的市場規模達到5.992億美元。

人工智慧透過為全球日益成長的精神疾病負擔提供創造性的答案，正在徹底改變精神健康領域。人工智慧憑藉其分析大量資料、發現模式和提供見解的能力，正在徹底改變診斷、治療和支援系統。人工智慧驅動的聊天機器人和虛擬助理提供個體化治療方法和應對策略，使心理健康護理變得更加容易獲得和敏感。先進的自然語言處理演算法可實現情緒分析和識別，支持心理健康障礙的早期檢測和監測。機器學習演算法還可以幫助預測治療結果和個人化治療。由於人們對心理健康意識的增強、對可擴展治療方法的需求以及技術的改進，心理健康領域的人工智慧市場正在蓬勃發展。人工智慧的使用有可能提高心理健康治療的可用性、成本和有效性，從而徹底改變國際上對心理健康的理解和治療方式。

對心理健康意識的提高和恥辱感的減少將促進人工智慧在心理健康市場的成長。

人工智慧在心理健康領域的擴展很大程度上是由於心理健康意識的提高和相關恥辱感的減少所推動的。人們對心理健康問題越來越了解和開放，強調接受支持和治療的重要性。根據世界衛生組織（WHO）的一項研究，全球心理健康恥辱感隨著時間的推移一直在穩步減少。這種觀點的轉變為人工智慧技術在心理健康領域的應用創造了有利的環境，提供方便和個體化的治療。增加知識和減少恥辱不僅可以擴大市場，還可以透過鼓勵人們優先考慮自己的福祉來改善心理健康結果。

心理健康市場人工智慧解決方案的擴充性和成本效益。

AI解決方案的擴充性和成本效益是心理健康產業AI的關鍵成長要素。人工智慧技術可以同時惠及大量人群，從而實現可擴展的干涉措施和服務。人工智慧驅動的聊天機器人和虛擬助理可以同時為多個用戶提供服務，從而減少等待時間並提高可訪問性。此外，人工智慧解決方案透過減少對人力資源（例如心理健康專業人員）執行日常業務的需求來降低成本。根據《醫學網際網路研究雜誌》發表的一項研究，與傳統方法相比，由人工智慧驅動的心理健康療法可以顯著降低醫療成本。由於其擴充性和成本效益，人工智慧技術具有誘人的潛力，可以滿足日益成長的心理健康支援需求並填補心理健康護理服務的空白。

心理健康狀況的早期發現和預防將擴大人工智慧在心理健康領域的市場規模。

心理健康人工智慧領域的重點是透過資料驅動技術早期發現和預防心理健康問題。根據美國國家心理健康研究所的數據，超過一半的心理健康問題在 14 歲之前就開始出現，這凸顯了早期療育的必要性。為了檢測心理健康問題的早期訊號，人工智慧系統可以分析各種資料來源，包括社群媒體貼文、線上行為和生理標記。發表在《自然醫學》雜誌上的一項研究表明，機器學習演算法可以根據電子健康資料有效預測精神疾病的發作。透過及早識別高風險族群，人工智慧可以提供及時的治療和預防措施，從而減輕心理健康問題的嚴重性和影響。人工智慧支援早期識別和預防的能力為改變精神健康保健和改善世界各地人們的治療結果提供了巨大的機會。

北美是心理健康領域人工智慧的市場領導者。

北美正成為心理健康市場人工智慧的市場領導者。該地區脫穎而出的原因有幾個。北美擁有強大的醫療保健系統、大量科技公司以及對人工智慧研發的大量投資。此外，該地區對心理健康問題的理解和接受程度不斷提高，這推動了對新心理健康治療的需求。此外，一些專門從事心理健康應用的頂級人工智慧技術公司都位於北美。然而，必須記住，人工智慧在心理健康市場的成長正在蓬勃發展，隨著世界其他地區在該領域的進步，地區主導地位可能會發生變化。

科技公司與心理健康機構在心理健康領域AI市場的合作。

科技公司和心理健康機構之間的合作對於推動心理健康領域人工智慧的創新和成長至關重要。例如，Mindstrong Health 和 Verily 之間的合作使用人工智慧來追蹤智慧型手機的使用習慣，以檢測心理健康問題的早期指標。這種類型的合作利用了科技企業和心理健康機構的經驗，將技術突破與臨床知識相結合，為心理健康問題提供新穎有效的解決方案。

主要進展：

2022 年 6 月，兒童行為健康新興企業Cognoa 與密蘇里大學 (MU) ECHO 自閉症社區研究團隊合作，對其基於人工智慧的專有軟體 Canvas Dx 作為醫療設備進行了現實世界證據研究。宣布將開始。 ECHO 自閉症社群是一項遠端指導計劃，旨在幫助參與的醫生擴展泛自閉症障礙(ASD) 的診斷和治療知識。 2020 年 10 月，X2 創建了客製化、白標輔導、心理健康支援聊天機器人。大公司、保險公司和衛生系統合作開發解決方案。與約翰·霍普金醫學的平衡行為健康計劃建立了合作夥伴關係。

公司產品

  • 虛擬治療服務： Ginger 提供虛擬治療服務，透過視訊會議將人們與有執照的治療師聯繫起來。我們使用人工智慧演算法根據您的要求、興趣和治療方式為您配對合適的治療師。
  • 數位療法： Lyra Health 提供數位治療計劃，使用人工智慧演算法為各種精神疾病提供實證治療。這些計劃包括互動模組、練習、幫助您管理心理健康的工具等等。
  • 人工智慧驅動的篩檢和評估Cognoa 使用人工智慧演算法來檢查和分析兒童的發育和行為健康。 AI演算法可以透過數位調查和資料分析來識別潛在問題，並提供泛自閉症障礙（ASD）和注意力不足過動症（ADHD）等疾病的早期預警訊號。
  • 24/7 可用X2AI 的人工智慧聊天機器人 24/7 可用，允許任何人隨時尋求協助或建議。該工具提高了可訪問性並確保為有需要的人提供持續的支援。

目錄

第1章簡介

  • 市場概況
  • 市場定義
  • 調查範圍
  • 市場區隔
  • 貨幣
  • 先決條件
  • 基準年和預測年時間表

第2章調查方法

  • 調查資料
  • 資訊來源
  • 研究設計

第3章執行摘要

  • 研究亮點

第4章市場動態

  • 市場促進因素
  • 市場抑制因素
  • 波特五力分析
    • 供應商的議價能力
    • 買方議價能力
    • 新進入者的威脅
    • 替代品的威脅
    • 業內競爭對手之間的對抗關係
  • 產業價值鏈分析

第5章心理健康領域的人工智慧市場：按技術分類

  • 介紹
  • 機器學習
  • 自然語言處理（NLP）
  • 深度學習
  • 電腦視覺
  • 其他

第6章 心理健康領域的人工智慧市場：依應用分類

  • 介紹
  • 診斷/治療
  • 虛擬助理聊天機器人
  • 心理健康監測
  • 預測分析
  • 其他

第7章 心理健康領域的人工智慧市場：按最終用戶分類

  • 介紹
  • 醫院/診所
  • 心理健康中心
  • 研究機構
  • 其他

第8章心理健康領域的人工智慧市場：按地區

  • 介紹
  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 南美洲
    • 巴西
    • 阿根廷
    • 其他
  • 歐洲
    • 英國
    • 德國
    • 法國
    • 義大利
    • 西班牙
    • 其他
  • 中東/非洲
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 其他
  • 亞太地區
    • 日本
    • 中國
    • 印度
    • 韓國
    • 印尼
    • 台灣
    • 其他

第9章競爭環境及分析

  • 主要企業及策略分析
  • 新興企業和市場盈利
  • 合併、收購、協議和合作
  • 供應商競爭力矩陣

第10章 公司簡介

  • GOOGLE LLC（ALPHABET INC.）
  • MICROSOFT CORPORATION
  • IBM CORPORATION
  • AMAZON WEB SERVICES（AWS）
  • INTEL CORPORATION
  • COGITO CORPORATION
  • GINGER.IO INC.
  • WOEBOT HEALTH
  • PEAR THERAPEUTICS, INC.
  • LANTERN（ACQUIRED BY GINGER.IO INC.）
簡介目錄
Product Code: KSI061615750

AI in mental health market was valued at US$599.2 million in 2021.

AI is revolutionizing the area of mental health by providing creative answers to the rising worldwide burden of mental diseases. AI is revolutionizing diagnoses, therapy, and support systems with its capacity to analyze enormous amounts of data, find patterns, and provide insights. Chatbots and virtual assistants powered by AI provide accessible and discreet mental health care, giving personalized treatments and coping techniques. Advanced natural language processing algorithms enable sentiment analysis and emotion recognition, assisting in the early detection and monitoring of mental health disorders. Machine learning algorithms can also help forecast treatment outcomes and personalize therapy to individuals. The AI in mental health market is booming, thanks to rising mental health awareness, the need for scalable therapies, and technical improvements. The use of AI has the potential to enhance mental health treatment availability, cost, and efficacy, therefore revolutionizing how mental health is understood and treated internationally.

Rising Mental Health Awareness and Decreasing Stigma Enhances the AI in Mental Health Market Growth.

The expansion of AI in the mental health industry has been fueled by a considerable increase in mental health awareness and a decrease in related stigma. People are becoming more aware of and open about mental health difficulties, emphasizing the significance of getting help and treatment. According to World Health Organization research, worldwide mental health stigma has steadily lessened over time. This shift in views has produced a favourable climate for the use of AI technology in mental health, which provides accessible and personalized treatments. Increased knowledge and reduced stigma have not only broadened the market but also improved mental health outcomes by encouraging people to prioritize their well-being.

Scalability and Cost-Effectiveness of AI Solutions in AI in Mental Health Market.

The scalability and cost-effectiveness of AI solutions are important growth factors in the AI in mental health industry. AI technologies can contact a huge number of people at the same time, enabling scalable interventions and services. AI-powered chatbots and virtual assistants can serve several users at the same time, lowering wait times and enhancing accessibility. Furthermore, AI solutions save money by reducing the requirement for human resources, such as mental health specialists, for regular work. AI-based mental health therapies, according to research published in the Journal of Medical Internet Research, can dramatically lower healthcare expenses when compared to traditional techniques. AI technologies are appealing possibilities for meeting the rising need for mental health assistance and filling the gap in mental healthcare services because of their scalability and cost-effectiveness.

Early Detection and Prevention of Mental Health Conditions boosts AI in Mental Health Market Size.

Early identification and prevention of mental health issues, aided by data-driven techniques, have gained significance in the AI in mental health sector. According to the National Institute of Mental Health, over half of all mental health issues begin before the age of 14, highlighting the necessity of early intervention. To detect early signals of mental health concerns, AI systems may analyze a range of data sources, including social media posts, online behaviour, and physiological markers. Based on electronic health data, a study published in the journal Nature Medicine proved that machine learning algorithms can effectively anticipate the start of mental diseases. AI provides prompt treatments and preventative actions by identifying at-risk individuals early, thereby lowering the severity and effect of mental health issues. The capacity of AI to aid in early identification and prevention represents a major opportunity to alter mental healthcare and improve outcomes for people all over the world.

North America is the Market Leader in the AI in Mental Health Market.

North America has emerged as the market leader in artificial intelligence in the mental health market. Several reasons contribute to the region's prominence. North America has a strong healthcare system, a large presence of technological corporations, and significant investment in AI research and development. Furthermore, there is a rising understanding and acceptance of mental health concerns in the area, which is driving up demand for novel mental health treatments. Furthermore, some top AI technology businesses that specialize in mental health applications are based in North America. However, it is vital to remember that the AI in mental health market growth is fast growing, and regional leading positions may alter as other areas throughout the world improve in this sector.

Collaborations between Technology Companies and Mental Health Institutions in AI in Mental Health Market.

Collaborations between technology businesses and mental health institutions have been critical in promoting innovation and growth in artificial intelligence in the mental health sector. A collaboration between Mindstrong Health and Verily, for example, used AI to track smartphone usage habits and detect early indicators of mental health issues. Collaborations of this type leverage the experience of both technology businesses and mental health institutions, integrating technical breakthroughs with clinical knowledge to offer novel and effective solutions for mental health concerns.

Key Developments:

  • In June 2022, Cognoa, a pediatric behavioral health startup, announced the start of a real-world evidence study for Canvas Dx, its unique AI-based software as a medical device, in conjunction with the University of Missouri (MU) ECHO Autism Communities Research Team. ECHO Autism Communities is a tele mentoring programme that helps participating doctors become more knowledgeable about the diagnosis and treatment of autism spectrum disorder (ASD).
  • In October 2020, Custom, white-labelled coaching, and mental health assistance chatbots were created by X2. Large corporations, insurance firms, and health systems collaborate to develop solutions. They established a partnership with Johns Hopkins Medicine's Balance Behavioral Health programme.

Company Products:

  • Virtual Therapy Services: Ginger provides virtual therapy services that connect people with licensed therapists via video sessions. Individuals are matched with appropriate therapists using AI algorithms based on their requirements, interests, and therapy modalities.
  • Digital Therapeutics: Lyra Health offers digital treatment programmes that use artificial intelligence algorithms to give evidence-based therapies for a variety of mental health disorders. These programmes include interactive modules, exercises, and tools to help people manage their mental health.
  • AI-Powered Screening and Assessment: Cognoa uses artificial intelligence algorithms to check and analyse children's developmental and behavioural health. AI algorithms may identify possible issues and offer early warning signs of illnesses such as autism spectrum disorder (ASD) or attention deficit hyperactivity disorder (ADHD) through digital surveys and data analysis.
  • 24/7 Availability: The AI chatbot at X2AI is available 24 hours a day, seven days a week, allowing anyone to request help and advice at any time. This tool improves accessibility and ensures that people in need receive ongoing assistance.

Segmentation:

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
  • Italy
  • Spain
  • Others
  • Middle East and Africa
  • Saudi Arabia
  • UAE
  • Others
  • Asia Pacific
  • Japan
  • China
  • India
  • South Korea
  • Indonesia
  • Taiwan
  • Others

TABLE OF CONTENTS

1. INTRODUCTION

  • 1.1. MARKET OVERVIEW
  • 1.2. Market Definition
  • 1.3. Scope of the Study
  • 1.4. Market Segmentation
  • 1.5. Currency
  • 1.6. Assumptions
  • 1.7. Base, and Forecast Years Timeline

2. RESEARCH METHODOLOGY

  • 2.1. Research Data
  • 2.2. Sources
  • 2.3. Research Design

3. EXECUTIVE SUMMARY

  • 3.1. Research Highlights

4. MARKET DYNAMICS

  • 4.1. Market Drivers
  • 4.2. Market Restraints
  • 4.3. Porters Five Forces Analysis
    • 4.3.1. Bargaining Power of Suppliers
    • 4.3.2. Bargaining Power of Buyers
    • 4.3.3. Threat of New Entrants
    • 4.3.4. Threat of Substitutes
    • 4.3.5. Competitive Rivalry in the Industry
  • 4.4. Industry Value Chain Analysis

5. AI IN MENTAL HEALTH MARKET, BY TECHNOLOGY

  • 5.1. Introduction
  • 5.2. MACHINE LEARNING
  • 5.3. NATURAL LANGUAGE PROCESSING (NLP)
  • 5.4. DEEP LEARNING
  • 5.5. COMPUTER VISION
  • 5.6. OTHERS

6. AI IN MENTAL HEALTH MARKET, BY APPLICATION

  • 6.1. Introduction
  • 6.2. DIAGNOSIS AND TREATMENT
  • 6.3. VIRTUAL ASSISTANTS AND CHATBOTS
  • 6.4. MENTAL HEALTH MONITORING
  • 6.5. PREDICTIVE ANALYTICS
  • 6.6. OTHERS

7. AI IN MENTAL HEALTH MARKET, BY END-USER

  • 7.1. Introduction
  • 7.2. HOSPITALS AND CLINICS
  • 7.3. MENTAL HEALTH CENTERS
  • 7.4. RESEARCH INSTITUTIONS
  • 7.5. OTHERS

8. AI IN MENTAL HEALTH MARKET, BY GEOGRAPHY

  • 8.1. Introduction
  • 8.2. North America
    • 8.2.1. United States
    • 8.2.2. Canada
    • 8.2.3. Mexico
  • 8.3. South America
    • 8.3.1. Brazil
    • 8.3.2. Argentina
    • 8.3.3. Others
  • 8.4. Europe
    • 8.4.1. United Kingdom
    • 8.4.2. Germany
    • 8.4.3. France
    • 8.4.4. Italy
    • 8.4.5. Spain
    • 8.4.6. Others
  • 8.5. Middle East and Africa
    • 8.5.1. Saudi Arabia
    • 8.5.2. UAE
    • 8.5.3. Others
  • 8.6. Asia Pacific
    • 8.6.1. Japan
    • 8.6.2. China
    • 8.6.3. India
    • 8.6.4. South Korea
    • 8.6.5. Indonesia
    • 8.6.6. Taiwan
    • 8.6.7. Others

9. COMPETITIVE ENVIRONMENT AND ANALYSIS

  • 9.1. Major Players and Strategy Analysis
  • 9.2. Emerging Players and Market Lucrativeness
  • 9.3. Mergers, Acquisitions, Agreements, and Collaborations
  • 9.4. Vendor Competitiveness Matrix

10. COMPANY PROFILES

  • 10.1. GOOGLE LLC (ALPHABET INC.)
  • 10.2. MICROSOFT CORPORATION
  • 10.3. IBM CORPORATION
  • 10.4. AMAZON WEB SERVICES (AWS)
  • 10.5. INTEL CORPORATION
  • 10.6. COGITO CORPORATION
  • 10.7. GINGER.IO INC.
  • 10.8. WOEBOT HEALTH
  • 10.9. PEAR THERAPEUTICS, INC.
  • 10.10. LANTERN (ACQUIRED BY GINGER.IO INC.)