查看购物车
  • Traditional Chinese
  • English
  • Japanese
  • Korean
心理健康领域人工智慧的全球市场：预测（2023-2028）
市场调查报告书
商品编码
1410107

心理健康领域人工智慧的全球市场：预测（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个工作天内

价格
简介目录

2021年全球人工智慧在心理健康领域的市场规模达到5.992亿美元。

人工智慧透过为全球日益增长的精神疾病负担提供创造性的答案，正在彻底改变精神健康领域。人工智慧凭藉其分析大量资料、发现模式和提供见解的能力，正在彻底改变诊断、治疗和支援系统。人工智慧驱动的聊天机器人和虚拟助理提供个体化治疗方法和应对策略，使心理健康护理变得更加容易获得和敏感。先进的自然语言处理演算法可实现情绪分析和识别，支持心理健康障碍的早期检测和监测。机器学习演算法还可以帮助预测治疗结果和个人化治疗。由于人们对心理健康意识的增强、对可扩展治疗方法的需求以及技术的改进，心理健康领域的人工智慧市场正在蓬勃发展。人工智慧的使用有可能提高心理健康治疗的可用性、成本和有效性，从而彻底改变国际上对心理健康的理解和治疗方式。

对心理健康意识的提高和耻辱感的减少将促进人工智慧在心理健康市场的成长。

人工智慧在心理健康领域的扩展很大程度上是由于心理健康意识的提高和相关耻辱感的减少所推动的。人们对心理健康问题越来越了解和开放，强调接受支持和治疗的重要性。根据世界卫生组织（WHO）的一项研究，全球心理健康耻辱感随着时间的推移一直在稳步减少。这种观点的转变为人工智慧技术在心理健康领域的应用创造了有利的环境，提供方便和个体化的治疗。增加知识和减少耻辱不仅可以扩大市场，还可以透过鼓励人们优先考虑自己的福祉来改善心理健康结果。

心理健康市场人工智慧解决方案的扩充性和成本效益。

AI解决方案的扩充性和成本效益是心理健康产业AI的关键成长要素。人工智慧技术可以同时惠及大量人群，从而实现可扩展的干预措施和服务。人工智慧驱动的聊天机器人和虚拟助理可以同时为多个用户提供服务，从而减少等待时间并提高可访问性。此外，人工智慧解决方案透过减少对人力资源（例如心理健康专业人员）执行日常业务的需求来降低成本。根据《医学互联网研究杂誌》发表的一项研究，与传统方法相比，由人工智慧驱动的心理健康疗法可以显着降低医疗成本。由于其扩充性和成本效益，人工智慧技术具有诱人的潜力，可以满足日益增长的心理健康支援需求并填补心理健康护理服务的空白。

心理健康状况的早期发现和预防将扩大人工智慧在心理健康领域的市场规模。

心理健康人工智慧领域的重点是透过资料驱动技术早期发现和预防心理健康问题。根据美国国家心理健康研究所的数据，超过一半的心理健康问题在 14 岁之前就开始出现，这凸显了早期疗育的必要性。为了检测心理健康问题的早期讯号，人工智慧系统可以分析各种资料来源，包括社群媒体贴文、线上行为和生理标记。发表在《自然医学》杂誌上的一项研究表明，机器学习演算法可以根据电子健康资料有效预测精神疾病的发作。透过及早识别高风险族群，人工智慧可以提供及时的治疗和预防措施，从而减轻心理健康问题的严重性和影响。人工智慧支援早期识别和预防的能力为改变精神健康保健和改善世界各地人们的治疗结果提供了巨大的机会。

北美是心理健康领域人工智慧的市场领导者。

北美正成为心理健康市场人工智慧的市场领导者。该地区脱颖而出的原因有几个。北美拥有强大的医疗保健系统、大量科技公司以及对人工智慧研发的大量投资。此外，该地区对心理健康问题的理解和接受程度不断提高，这推动了对新心理健康治疗的需求。此外，一些专门从事心理健康应用的顶级人工智慧技术公司都位于北美。然而，必须记住，人工智慧在心理健康市场的成长正在蓬勃发展，随着世界其他地区在该领域的进步，地区主导地位可能会发生变化。

科技公司与心理健康机构在心理健康领域AI市场的合作。

科技公司和心理健康机构之间的合作对于推动心理健康领域人工智慧的创新和成长至关重要。例如，Mindstrong Health 和 Verily 之间的合作使用人工智慧来追踪智慧型手机的使用习惯，以检测心理健康问题的早期指标。这种类型的合作利用了科技企业和心理健康机构的经验，将技术突破与临床知识相结合，为心理健康问题提供新颖有效的解决方案。

主要进展：

2022 年 6 月，儿童行为健康新兴企业Cognoa 与密苏里大学 (MU) ECHO 自闭症社区研究团队合作，对其基于人工智慧的专有软体 Canvas Dx 作为医疗设备进行了现实世界证据研究。宣布将开始。 ECHO 自闭症社群是一项远端指导计划，旨在帮助参与的医生扩展泛自闭症障碍(ASD) 的诊断和治疗知识。 2020 年 10 月，X2 创建了客製化、白标辅导、心理健康支援聊天机器人。大公司、保险公司和卫生系统合作开发解决方案。与约翰·霍普金医学的平衡行为健康计划建立了合作伙伴关係。

公司产品

  • 虚拟治疗服务： Ginger 提供虚拟治疗服务，透过视讯会议将人们与有执照的治疗师联繫起来。我们使用人工智慧演算法根据您的要求、兴趣和治疗方式为您配对合适的治疗师。
  • 数位疗法： Lyra Health 提供数位治疗计划，使用人工智慧演算法为各种精神疾病提供实证治疗。这些计划包括互动模组、练习、帮助您管理心理健康的工具等等。
  • 人工智慧驱动的筛检和评估Cognoa 使用人工智慧演算法来检查和分析儿童的发育和行为健康。 AI演算法可以透过数位调查和资料分析来识别潜在问题，并提供泛自闭症障碍（ASD）和注意力不足过动症（ADHD）等疾病的早期预警讯号。
  • 24/7 可用X2AI 的人工智慧聊天机器人 24/7 可用，允许任何人随时寻求协助或建议。该工具提高了可访问性并确保为有需要的人提供持续的支援。

目录

第一章简介

  • 市场概况
  • 市场定义
  • 调查范围
  • 市场区隔
  • 货币
  • 先决条件
  • 基准年和预测年时间表

第二章调查方法

  • 调查资料
  • 资讯来源
  • 研究设计

第三章执行摘要

  • 研究亮点

第四章市场动态

  • 市场驱动因素
  • 市场抑制因素
  • 波特五力分析
    • 供应商的议价能力
    • 买方议价能力
    • 新进入者的威胁
    • 替代品的威胁
    • 业内竞争对手之间的对抗关係
  • 产业价值链分析

第五章心理健康领域的人工智慧市场：按技术划分

  • 介绍
  • 机器学习
  • 自然语言处理（NLP）
  • 深度学习
  • 电脑视觉
  • 其他的

第六章 心理健康领域的人工智慧市场：依应用分类

  • 介绍
  • 诊断/治疗
  • 虚拟助理聊天机器人
  • 心理健康监测
  • 预测分析
  • 其他的

第七章 心理健康领域的人工智慧市场：按最终用户划分

  • 介绍
  • 医院/诊所
  • 心理健康中心
  • 研究机构
  • 其他的

第八章心理健康领域的人工智慧市场：按地区

  • 介绍
  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥
  • 南美洲
    • 巴西
    • 阿根廷
    • 其他的
  • 欧洲
    • 英国
    • 德国
    • 法国
    • 义大利
    • 西班牙
    • 其他的
  • 中东/非洲
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 其他的
  • 亚太地区
    • 日本
    • 中国
    • 印度
    • 韩国
    • 印尼
    • 台湾
    • 其他的

第九章竞争环境及分析

  • 主要企业及策略分析
  • 新兴企业和市场盈利
  • 合併、收购、协议和合作
  • 供应商竞争力矩阵

第十章 公司简介

  • 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.）
简介目录
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.)