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メンタルヘルスにおけるAIの世界市場レポート 2024年

AI in Mental Health Global Market Report 2024

出版日: 受注後更新 | 発行: The Business Research Company | ページ情報: 英文 175 Pages | 納期: 2~10営業日

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メンタルヘルスにおけるAIの世界市場レポート 2024年
出版日: 受注後更新
発行: The Business Research Company
ページ情報: 英文 175 Pages
納期: 2~10営業日
  • 全表示
  • 概要
  • 目次
概要

メンタルヘルスにおけるAI市場規模は、今後数年で飛躍的な成長が見込まれます。2028年にはCAGR34.9%で49億4,000万米ドルに成長します。予測期間における成長予測は、メンタルヘルスケアにおける先端技術の採用の増加、メンタルヘルス問題に対する懸念や意識の高まり、AIを活用したソリューションの必要性を促進するメンタルヘルス専門家の不足、メンタルヘルスにおけるAIケアに対する規制当局の支援、メンタルヘルス分析のためのウェアラブルやソーシャルメディアデータの利用の増加など、いくつかの重要な要因に起因しています。この期間に予想される主な動向には、個別化された治療アプローチ、継続的モニタリングのためのウェアラブルとの統合、メンタルヘルスケアにおけるAIアプリケーションの拡大、遠隔医療とバーチャルケアソリューションの需要の高まり、患者のエンゲージメントとサポートを強化するための会話型インターフェースの使用の増加などがあります。

自殺事例の増加は、今後数年間におけるメンタルヘルス市場におけるAIの成長を促進する見通しです。自殺事例は、個人が自分の人生を終わらせる目的で意図的に自らに危害を加えることを示す思考、感情、行動を経験する事例を包含します。うつ病、双極性障害、統合失調症、薬物乱用などのメンタルヘルス障害は、自殺念慮や自殺行動の出現に大きく寄与しています。メンタルヘルスにおけるAI技術は、ユーザーデータのパターンを分析することで自殺リスクの初期兆候を特定し、タイムリーな介入と支援を促進する上で極めて重要な役割を果たしています。例えば、米国疾病予防管理センターのデータによると、米国における自殺死亡者数の増加が懸念されており、2022年には前年比2.6%増の49,449人に達します。2022年の自殺者数は、男性39,255人、女性10,194人です。その結果、自殺の有病率の増加は、メンタルヘルス市場におけるAIの採用を促進する主な要因となっています。

メンタルヘルスにおけるAI市場の課題開拓は、革新的技術の開発に積極的に取り組んでおり、市場提供を拡大し、メンタルヘルスの重要な課題に取り組んでいます。そのような進歩の1つがDiscovery365です。Discovery365は、行動療法プログラムからの退院後1年間、患者の経過を監視するように設計されたAIを搭載した行動医療システムであり、この期間は再発率が高いという特徴があります。例えば、2023年9月、Discovery Behavioral Health Inc.は、Videra HealthおよびBrigham and Women's Hospitalと共同で、Discovery365を立ち上げました。この先駆的なプラットフォームは、高度なAI技術を活用して退院後の患者データを分析するもので、ビデオ撮影による分析に重点を置いて患者の経過を評価し、闘病や再発の潜在的な兆候を検出します。治療プログラムを超えてケアを拡大することで、Discovery365は再発率を軽減し、治療終了後の重要な1年間に患者に重要なサポートを提供し、行動医療における回復のギャップを埋めることを目指しています。

目次

第1章 エグゼクティブサマリー

第2章 市場の特徴

第3章 市場動向と戦略

第4章 マクロ経済シナリオ

  • 高インフレが市場に与える影響
  • ウクライナ・ロシア戦争が市場に与える影響
  • COVID-19による市場への影響

第5章 世界の市場規模と成長

  • 世界の市場促進要因と抑制要因
    • 市場促進要因
    • 市場抑制要因
  • 世界の市場規模実績と成長、2018年~2023年
  • 世界の市場規模予測と成長、2023年~2028年、2033年

第6章 市場セグメンテーション

  • 世界のメンタルヘルスにおけるAI市場:コンポーネント別、実績と予測, 2018-2023, 2023-2028F, 2033F
  • Software-as-a-Service(SaaS)
  • ハードウェア
  • 世界のメンタルヘルスにおけるAI市場:技術別、実績と予測, 2018-2023, 2023-2028F, 2033F
  • 自然言語処理(NLP)
  • コンテキスト認識コンピューティング
  • コンピュータビジョン
  • 機械学習
  • 世界のメンタルヘルスにおけるAI市場:用途別、実績と予測, 2018-2023, 2023-2028F, 2033F
  • 会話型インターフェース
  • 患者の行動パターン認識
  • 世界のメンタルヘルスにおけるAI市場:エンドユーザー別、実績と予測, 2018-2023, 2023-2028F, 2033F
  • 病院と診療所
  • メンタルヘルスセンター
  • 研究機関

第7章 地域別・国別分析

  • 世界のメンタルヘルスにおけるAI市場:地域別、実績と予測, 2018-2023, 2023-2028F, 2033F
  • 世界のメンタルヘルスにおけるAI市場:国別、実績と予測, 2018-2023, 2023-2028F, 2033F

第8章 アジア太平洋市場

第9章 中国市場

第10章 インド市場

第11章 日本市場

第12章 オーストラリア市場

第13章 インドネシア市場

第14章 韓国市場

第15章 西欧市場

第16章 英国市場

第17章 ドイツ市場

第18章 フランス市場

第19章 イタリア市場

第20章 スペイン市場

第21章 東欧市場

第22章 ロシア市場

第23章 北米市場

第24章 米国市場

第25章 カナダ市場

第26章 南米市場

第27章 ブラジル市場

第28章 中東市場

第29章 アフリカ市場

第30章 競合情勢と企業プロファイル

  • メンタルヘルスにおけるAI市場:競合情勢
  • メンタルヘルスにおけるAI市場:企業プロファイル
    • BetterHelp
    • Lyra Health
    • American Well Corporation
    • Doctor on Demand
    • Cerebral

第31章 その他の大手企業と革新的企業

  • MDLive
  • Talkspace Inc.
  • Ginger
  • Quartet Health
  • Meditopia
  • Mantra Health
  • Happify Health
  • Woebot Health
  • Kintsugi
  • Marigold Health
  • SilverCloud Health
  • Cognoa
  • BioBeats
  • MeQuilibrium
  • Mightier

第32章 競合ベンチマーキング

第33章 競合ダッシュボード

第34章 主要な合併と買収

第35章 将来の見通しと潜在的な分析

第36章 付録

目次
Product Code: r16966

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.

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 $1.10 billion in 2023 to $1.49 billion in 2024 at a compound annual growth rate (CAGR) of 35.4%. The growth observed during the historical period can be attributed to several factors, including the rapid adoption of machine learning and AI technologies in the healthcare industry, a growing awareness of mental health and well-being, an increasing prevalence of mental health disorders, rising healthcare costs, and a 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 $4.94 billion in 2028 at a compound annual growth rate (CAGR) of 34.9%. The projected growth in the forecast period can be attributed to several key factors, including the increasing adoption of advanced technologies in mental health care, rising concerns and awareness regarding mental health issues, a shortage of mental health professionals driving the need for AI-powered solutions, regulatory support for AI in mental health care, and the increasing use of wearables and social media data for mental health analysis. Major trends expected during this period include personalized treatment approaches, integration with wearables for continuous monitoring, the expansion of AI applications in mental health care, the growing demand for telemedicine and virtual care solutions, and the increasing use of conversational interfaces to enhance patient engagement and support.

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 2023. 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 2024 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

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  • Assess the Russia - Ukraine war's impact on agriculture, energy and mineral commodity supply and its direct and indirect impact on the market.
  • Measure the impact of high global inflation on market growth.
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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? 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 market characteristics section of the report defines and explains the market.
  • The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
  • The forecasts are made after considering the major factors currently impacting the market. These include:

The impact of sanctions, supply chain disruptions, and altered demand for goods and services due to the Russian Ukraine war, impacting various macro-economic factors and parameters in the Eastern European region and its subsequent effect on global markets.

The impact of higher inflation in many countries and the resulting spike in interest rates.

The continued but declining impact of COVID-19 on supply chains and consumption patterns.

  • Market segmentations break down the market into sub markets.
  • The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth. It covers the growth trajectory of COVID-19 for all regions, key developed countries and major emerging markets.
  • The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
  • The trends and strategies section analyses the shape of the market as it emerges from the crisis and suggests how companies can grow as the market recovers.

Scope

Markets Covered:

  • 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
  • Companies Mentioned: BetterHelp; Lyra Health; American Well Corporation; Doctor on Demand; Cerebral
  • Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Russia; South Korea; UK; USA; Canada; Italy; Spain
  • Regions: Asia-Pacific; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
  • Time series: Five years historic and ten years forecast.
  • Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita,
  • Data segmentations: country and regional historic and forecast data, market share of competitors, market segments.
  • Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
  • Delivery format: PDF, Word and Excel Data Dashboard.

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

  • 4.1. Impact Of High Inflation On The Market
  • 4.2. Ukraine-Russia War Impact On The Market
  • 4.3. COVID-19 Impact On The Market

5. Global AI in Mental Health Market Size and Growth

  • 5.1. Global AI in Mental Health Market Drivers and Restraints
    • 5.1.1. Drivers Of The Market
    • 5.1.2. Restraints Of The Market
  • 5.2. Global AI in Mental Health Historic Market Size and Growth, 2018 - 2023, Value ($ Billion)
  • 5.3. Global AI in Mental Health Forecast Market Size and Growth, 2023 - 2028, 2033F, Value ($ Billion)

6. AI in Mental Health Market Segmentation

  • 6.1. Global AI in Mental Health Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • Software-as-a-Service (SaaS)
  • Hardware
  • 6.2. Global AI in Mental Health Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • Natural Language Processing (NLP)
  • Context-Aware Computing
  • Computer Vision
  • Machine learning
  • 6.3. Global AI in Mental Health Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • Conversational Interfaces
  • Patient Behavioral Pattern Recognition
  • 6.4. Global AI in Mental Health Market, Segmentation By End-user, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • Hospitals And Clinics
  • Mental Health Centers
  • Research Institutions

7. AI in Mental Health Market Regional And Country Analysis

  • 7.1. Global AI in Mental Health Market, Split By Region, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 7.2. Global AI in Mental Health Market, Split By Country, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

8. Asia-Pacific AI in Mental Health Market

  • 8.1. Asia-Pacific AI in Mental Health Market Overview
  • Region Information, Impact Of COVID-19, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 8.2. Asia-Pacific AI in Mental Health Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 8.3. Asia-Pacific AI in Mental Health Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 8.4. Asia-Pacific AI in Mental Health Market, Segmentation By End-user, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

9. China AI in Mental Health Market

  • 9.1. China AI in Mental Health Market Overview
  • 9.2. China AI in Mental Health Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F,$ Billion
  • 9.3. China AI in Mental Health Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F,$ Billion
  • 9.4. China AI in Mental Health Market, Segmentation By End-user, Historic and Forecast, 2018-2023, 2023-2028F, 2033F,$ Billion

10. India AI in Mental Health Market

  • 10.1. India AI in Mental Health Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 10.2. India AI in Mental Health Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 10.3. India AI in Mental Health Market, Segmentation By End-user, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

11. Japan AI in Mental Health Market

  • 11.1. Japan AI in Mental Health Market Overview
  • 11.2. Japan AI in Mental Health Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 11.3. Japan AI in Mental Health Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 11.4. Japan AI in Mental Health Market, Segmentation By End-user, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

12. Australia AI in Mental Health Market

  • 12.1. Australia AI in Mental Health Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 12.2. Australia AI in Mental Health Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 12.3. Australia AI in Mental Health Market, Segmentation By End-user, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

13. Indonesia AI in Mental Health Market

  • 13.1. Indonesia AI in Mental Health Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 13.2. Indonesia AI in Mental Health Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 13.3. Indonesia AI in Mental Health Market, Segmentation By End-user, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

14. South Korea AI in Mental Health Market

  • 14.1. South Korea AI in Mental Health Market Overview
  • 14.2. South Korea AI in Mental Health Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 14.3. South Korea AI in Mental Health Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 14.4. South Korea AI in Mental Health Market, Segmentation By End-user, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

15. Western Europe AI in Mental Health Market

  • 15.1. Western Europe AI in Mental Health Market Overview
  • 15.2. Western Europe AI in Mental Health Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 15.3. Western Europe AI in Mental Health Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 15.4. Western Europe AI in Mental Health Market, Segmentation By End-user, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

16. UK AI in Mental Health Market

  • 16.1. UK AI in Mental Health Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 16.2. UK AI in Mental Health Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 16.3. UK AI in Mental Health Market, Segmentation By End-user, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

17. Germany AI in Mental Health Market

  • 17.1. Germany AI in Mental Health Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 17.2. Germany AI in Mental Health Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 17.3. Germany AI in Mental Health Market, Segmentation By End-user, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

18. France AI in Mental Health Market

  • 18.1. France AI in Mental Health Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 18.2. France AI in Mental Health Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 18.3. France AI in Mental Health Market, Segmentation By End-user, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

19. Italy AI in Mental Health Market

  • 19.1. Italy AI in Mental Health Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 19.2. Italy AI in Mental Health Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 19.3. Italy AI in Mental Health Market, Segmentation By End-user, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

20. Spain AI in Mental Health Market

  • 20.1. Spain AI in Mental Health Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 20.2. Spain AI in Mental Health Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 20.3. Spain AI in Mental Health Market, Segmentation By End-user, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

21. Eastern Europe AI in Mental Health Market

  • 21.1. Eastern Europe AI in Mental Health Market Overview
  • 21.2. Eastern Europe AI in Mental Health Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 21.3. Eastern Europe AI in Mental Health Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 21.4. Eastern Europe AI in Mental Health Market, Segmentation By End-user, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

22. Russia AI in Mental Health Market

  • 22.1. Russia AI in Mental Health Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 22.2. Russia AI in Mental Health Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 22.3. Russia AI in Mental Health Market, Segmentation By End-user, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

23. North America AI in Mental Health Market

  • 23.1. North America AI in Mental Health Market Overview
  • 23.2. North America AI in Mental Health Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 23.3. North America AI in Mental Health Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 23.4. North America AI in Mental Health Market, Segmentation By End-user, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

24. USA AI in Mental Health Market

  • 24.1. USA AI in Mental Health Market Overview
  • 24.2. USA AI in Mental Health Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 24.3. USA AI in Mental Health Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 24.4. USA AI in Mental Health Market, Segmentation By End-user, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

25. Canada AI in Mental Health Market

  • 25.1. Canada AI in Mental Health Market Overview
  • 25.2. Canada AI in Mental Health Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 25.3. Canada AI in Mental Health Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 25.4. Canada AI in Mental Health Market, Segmentation By End-user, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

26. South America AI in Mental Health Market

  • 26.1. South America AI in Mental Health Market Overview
  • 26.2. South America AI in Mental Health Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 26.3. South America AI in Mental Health Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 26.4. South America AI in Mental Health Market, Segmentation By End-user, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

27. Brazil AI in Mental Health Market

  • 27.1. Brazil AI in Mental Health Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 27.2. Brazil AI in Mental Health Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 27.3. Brazil AI in Mental Health Market, Segmentation By End-user, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

28. Middle East AI in Mental Health Market

  • 28.1. Middle East AI in Mental Health Market Overview
  • 28.2. Middle East AI in Mental Health Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 28.3. Middle East AI in Mental Health Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 28.4. Middle East AI in Mental Health Market, Segmentation By End-user, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

29. Africa AI in Mental Health Market

  • 29.1. Africa AI in Mental Health Market Overview
  • 29.2. Africa AI in Mental Health Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 29.3. Africa AI in Mental Health Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 29.4. Africa AI in Mental Health Market, Segmentation By End-user, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

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

  • 30.1. AI in Mental Health Market Competitive Landscape
  • 30.2. AI in Mental Health Market Company Profiles
    • 30.2.1. BetterHelp
      • 30.2.1.1. Overview
      • 30.2.1.2. Products and Services
      • 30.2.1.3. Strategy
      • 30.2.1.4. Financial Performance
    • 30.2.2. Lyra Health
      • 30.2.2.1. Overview
      • 30.2.2.2. Products and Services
      • 30.2.2.3. Strategy
      • 30.2.2.4. Financial Performance
    • 30.2.3. American Well Corporation
      • 30.2.3.1. Overview
      • 30.2.3.2. Products and Services
      • 30.2.3.3. Strategy
      • 30.2.3.4. Financial Performance
    • 30.2.4. Doctor on Demand
      • 30.2.4.1. Overview
      • 30.2.4.2. Products and Services
      • 30.2.4.3. Strategy
      • 30.2.4.4. Financial Performance
    • 30.2.5. Cerebral
      • 30.2.5.1. Overview
      • 30.2.5.2. Products and Services
      • 30.2.5.3. Strategy
      • 30.2.5.4. Financial Performance

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

  • 31.1. MDLive
  • 31.2. Talkspace Inc.
  • 31.3. Ginger
  • 31.4. Quartet Health
  • 31.5. Meditopia
  • 31.6. Mantra Health
  • 31.7. Happify Health
  • 31.8. Woebot Health
  • 31.9. Kintsugi
  • 31.10. Marigold Health
  • 31.11. SilverCloud Health
  • 31.12. Cognoa
  • 31.13. BioBeats
  • 31.14. MeQuilibrium
  • 31.15. Mightier

32. Global AI in Mental Health Market Competitive Benchmarking

33. Global AI in Mental Health Market Competitive Dashboard

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

35. AI in Mental Health Market Future Outlook and Potential Analysis

  • 35.1 AI in Mental Health Market In 2028 - Countries Offering Most New Opportunities
  • 35.2 AI in Mental Health Market In 2028 - Segments Offering Most New Opportunities
  • 35.3 AI in Mental Health Market In 2028 - Growth Strategies
    • 35.3.1 Market Trend Based Strategies
    • 35.3.2 Competitor Strategies

36. Appendix

  • 36.1. Abbreviations
  • 36.2. Currencies
  • 36.3. Historic And Forecast Inflation Rates
  • 36.4. Research Inquiries
  • 36.5. The Business Research Company
  • 36.6. Copyright And Disclaimer