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市場調查報告書
商品編碼
1818030

2032 年人工智慧健康教練市場預測：按類型、服務、平台、支付模式、技術、最終用戶和地區進行全球分析

AI Health Coaches Market Forecasts to 2032 - Global Analysis By Type, Service, Platform, Payment Model, Technology, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 200+ Pages | 商品交期: 2-3個工作天內

價格

根據 Stratistics MRC 的數據，全球 AI 健康教練市場預計在 2025 年達到 15 億美元，到 2032 年將達到 88 億美元，預測期內的複合年成長率為 27.9%。

AI Health Coach 是一個智慧數位平台，利用機器學習和行為分析技術提供個人化的健康指導。透過整合來自穿戴式裝置、行動應用程式和使用者輸入的數據，該平台能夠產生客製化的建議，以支持健身、營養、睡眠和壓力管理目標。這些系統能夠即時調整，提供持續的回饋和激勵。 AI Health Coach 的設計易於存取且可擴展，提供經濟高效、數據主導的支持，是對傳統護理模式的補充，並促進永續的生活方式改善。

《數位健康前沿》發表的一篇評論分析了 35 項數位健康干預研究，發現與沒有指導的數位工具相比，人工智慧健康指導平台使用戶參與度提高了 28%，生活方式依從性提高了 19%。

消費者越來越需要個人化的健康和保健解決方案

人工智慧教練利用機器學習提供自適應建議，提升使用者參與度和長期堅持率。穿戴式裝置和行動醫療應用的興起進一步加速了這一趨勢，這些裝置將數據持續輸入教練演算法。使用者越來越傾向於那些根據生物特徵數據、生活習慣和遺傳傾向提供個人化指導的平台。隨著消費者對預防保健的動機越來越高，市場對智慧且反應迅速的健康平台的需求也隨之激增。

演算法偏差和不準確的推薦

儘管技術不斷進步，人工智慧健康教練仍因輸出結果存在偏見和建議不一致而飽受批評。這些系統通常依賴缺乏多樣性的訓練資料集，導致其建議結果偏差，可能無法滿足所有人群的需求。不準確的健康提案會損害使用者信任，並可能造成有害後果。監管機構日益呼籲演算法設計和檢驗通訊協定的透明度。此外，跨平台缺乏標準化的評估指標，導致品質保證工作複雜化，並對市場拓展構成重大挑戰。

與更廣泛的醫療保健生態系統的整合

整合實現了患者、醫療服務提供者和人工智慧系統之間的無縫資料交換，從而促進協作護理並改善患者治療效果。科技公司與醫療機構之間的新夥伴關係正在加速這種融合，為人工智慧教練支持慢性病管理、術後復健和心理健康干預鋪平了道路。這種互通性預計將開闢新的收益來源，並擴展臨床和非臨床使用案例。

錯誤訊息和“幻覺”

人工智慧健康指導領域最迫切的問題之一是產生誤導性或虛假內容的風險，通常被稱為「幻覺」。這些不準確性可能源自於推理模型的缺陷或資料輸入的不完整，從而導致錯誤的健康建議。在關鍵情況下，此類錯誤訊息可能會危及病人安全或延誤關鍵干預措施。不受監管的應用程式和平台的激增加劇了這個問題，使用戶難以辨別可靠的資訊來源。

COVID-19的影響

由於遠距照護的需求，疫情顯著加速了人工智慧健康教練的普及。由於封鎖和維持社交距離限制了人們獲得傳統醫療服務的機會，人們轉向數位平台尋求免疫力、心理健康和慢性病管理的指導。人工智慧教練在症狀分類、推廣預防行為和支持新冠后復原方面發揮了關鍵作用。同時，這場危機也暴露了演算法適應性方面的不足，因為許多系統難以整合快速變化的臨床數據。

整體健康指導領域預計將成為預測期內最大的領域

整體健康指導領域預計將在預測期內佔據最大的市場佔有率，這得益於其全面的健康理念。這些平台提供整合營養、健身、睡眠、壓力管理和行為心理學的指導體驗。整合醫學和預防性醫療保健的日益普及正在推動其應用，尤其是在千禧世代和注重健康的消費者群體中。此外，與健康品牌和健身科技公司的合作也推動了整體人工智慧教練在消費者和商業管道中的應用。

預計慢性病管理領域在預測期內將以最高的複合年成長率成長

預計在預測期內，慢性病管理領域將迎來最高成長率，主要得益於糖尿病、高血壓和心血管疾病的發生率上升。該領域的人工智慧健康教練旨在監測症狀、追蹤用藥依從性，並在臨床惡化時提供即時警報。這些平台通常與遠端監控設備和電子健康檔案 (EHR) 整合，以確保院外護理的連續性。隨著醫療保健系統優先考慮基於價值的醫療服務，人工智慧主導的慢性病管理工具因其能夠降低再入院率並改善患者預後而日益受到青睞。

比最大的地區

在預測期內，北美預計將佔據最大的市場佔有率，這得益於其強大的數位醫療基礎設施和較高的消費者認知度。該地區擁有多家領先的人工智慧醫療科技公司，並受到良好的法規結構和強勁的創業投資活動的支持。美國和加拿大的臨床領域對人工智慧工具的應用日益增多，尤其是在行為健康和慢性病支援方面。此外，該地區科技人口的普及和智慧型手機的廣泛普及也正在擴大市場准入。

複合年成長率最高的地區

受快速都市化、醫療支出成長和數位素養提升的推動，亞太地區預計將在預測期內實現最高的複合年成長率。印度、中國和韓國等國家正大力投資人工智慧主導的醫療解決方案，以解決勞動力短缺問題並改善農村地區的醫療服務可近性。本地新興企業正在創新，打造多語言、文化適應性強的輔導平台，以應對區域健康挑戰。印度的「健康印度」計畫和中國的「健康中國2030」等政府推動數位醫療應用的舉措，正在為市場擴張創造肥沃的土壤。

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目錄

第1章執行摘要

第2章 前言

  • 概述
  • 相關利益者
  • 調查範圍
  • 調查方法
    • 資料探勘
    • 數據分析
    • 數據檢驗
    • 研究途徑
  • 研究材料
    • 主要研究資料
    • 次級研究資訊來源
    • 先決條件

第3章市場走勢分析

  • 驅動程式
  • 抑制因素
  • 機會
  • 威脅
  • 技術分析
  • 最終用戶分析
  • 新興市場
  • COVID-19的影響

第4章 波特五力分析

  • 供應商的議價能力
  • 買方的議價能力
  • 替代品的威脅
  • 新進入者的威脅
  • 競爭對手之間的競爭

5. 全球人工智慧健康教練市場類型

  • 整體健康指導
  • 健康指導
  • 原始/古飲食健康指導

6. 全球人工智慧健康教練市場（按服務）

  • 營養和飲食指導
  • 健身與運動指導
  • 慢性病管理
  • 心理與情緒健康輔導
  • 女性健康指導
  • 其他

7. 全球人工智慧健康教練市場（按平台）

  • 行動應用程式
  • 網路為基礎的平台
  • 穿戴式裝置和感測器
  • 對話式人工智慧
  • 混合解決方案
  • 其他

8. 全球人工智慧健康教練市場（按支付模式）

  • 每月訂閱
  • 年度訂閱
  • 每場會議
  • 免費增值，付費升級

9. 全球人工智慧健康教練市場（按技術）

  • 機器學習模型
  • 基於規則的系統
  • 自然語言處理（NLP）
  • 混合人工智慧系統
  • 電腦視覺
  • 其他

第 10 章全球人工智慧健康教練市場（按最終用戶）

  • 醫療保健提供者
  • 企業健康計劃
  • 個人消費者
  • 公共衛生機構
  • 保險公司
  • 其他

第 11 章全球人工智慧健康教練市場（按地區）

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 義大利
    • 法國
    • 西班牙
    • 其他歐洲國家
  • 亞太地區
    • 日本
    • 中國
    • 印度
    • 澳洲
    • 紐西蘭
    • 韓國
    • 其他亞太地區
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地區
  • 中東和非洲
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 卡達
    • 南非
    • 其他中東和非洲地區

第12章 重大進展

  • 協議、夥伴關係、合作和合資企業
  • 收購與合併
  • 新產品發布
  • 業務擴展
  • 其他關鍵策略

第13章：企業概況

  • Noom, Inc.
  • Omada Health, Inc.
  • Lark Technologies, Inc.
  • Vida Health
  • Thrive Global
  • HealthifyMe
  • Hinge Health
  • Twin Health
  • Rally Health
  • Wellable
  • Virgin Pulse
  • WellSteps
  • Advanced Wellness Systems
  • Choose Health Services LLC
  • Wellness Coaches USA
  • Vesta Healthcare
  • Lyra Health
Product Code: SMRC30993

According to Stratistics MRC, the Global AI Health Coaches Market is accounted for $1.5 billion in 2025 and is expected to reach $8.8 billion by 2032 growing at a CAGR of 27.9% during the forecast period. AI health coaches are intelligent digital platforms that deliver personalized wellness guidance using machine learning and behavioral analytics. By integrating data from wearables, mobile apps, and user inputs, they generate tailored recommendations to support fitness, nutrition, sleep, and stress management goals. These systems adapt in real time, offering continuous feedback and motivation. Designed to enhance accessibility and scalability, AI health coaches provide cost-effective, data-driven support that complements traditional care models and promotes sustainable lifestyle improvements

According to review published in Frontiers in Digital Health analyzed 35 studies on digital health interventions and found that AI-powered health coaching platforms improved user engagement by 28% and lifestyle adherence by 19% compared to non-coached digital tools.

Market Dynamics:

Driver:

Consumers are increasingly seeking tailored health and wellness solutions

AI-driven coaches are leveraging machine learning to deliver adaptive recommendations, enhancing user engagement and long-term adherence. This trend is further amplified by the rise of wearable devices and mobile health apps that continuously feed data into coaching algorithms. Users are gravitating toward platforms that offer individualized guidance based on biometric data, lifestyle habits, and genetic predispositions. As consumers become more proactive about preventive care, the market is witnessing a surge in demand for intelligent, responsive wellness platforms.

Restraint:

Algorithmic bias and inaccurate recommendations

Despite technological advancements, AI health coaches face scrutiny over biased outputs and inconsistent advice. These systems often rely on training datasets that lack diversity, leading to skewed recommendations that may not suit all demographic groups. Inaccurate health suggestions can erode user trust and potentially result in adverse outcomes. Regulatory bodies are increasingly calling for transparency in algorithm design and validation protocols. Moreover, the absence of standardized evaluation metrics across platforms complicates quality assurance, posing a significant challenge to market scalability.

Opportunity:

Integration with the broader healthcare ecosystem

Integration enables seamless data exchange between patients, providers, and AI systems, fostering collaborative care and improving treatment outcomes. Emerging partnerships between tech firms and healthcare institutions are accelerating this convergence, paving the way for AI coaches to support chronic disease management, post-operative recovery, and mental health interventions. This interoperability is expected to unlock new revenue streams and expand use cases across clinical and non-clinical settings.

Threat:

Misinformation and "hallucinations"

One of the most pressing concerns in the AI health coaching domain is the risk of generating misleading or fabricated content, often referred to as "hallucinations." These inaccuracies can arise from flawed reasoning models or incomplete data inputs, leading to erroneous health advice. In high-stakes scenarios, such misinformation could compromise patient safety or delay critical interventions. The proliferation of unregulated apps and platforms exacerbates this issue, making it difficult for users to discern credible sources.

Covid-19 Impact:

The pandemic significantly accelerated the adoption of AI health coaches as remote care became a necessity. With lockdowns and social distancing limiting access to traditional healthcare services, individuals turned to digital platforms for guidance on immunity, mental wellness, and chronic condition management. AI coaches played a pivotal role in triaging symptoms, promoting preventive behaviors, and supporting post-COVID recovery. Simultaneously, the crisis exposed gaps in algorithmic adaptability, as many systems struggled to incorporate rapidly evolving clinical data.

The holistic health coaching segment is expected to be the largest during the forecast period

The holistic health coaching segment is expected to account for the largest market share during the forecast period due to its comprehensive approach to wellness. These platforms integrate nutrition, fitness, sleep, stress management, and behavioral psychology into a unified coaching experience. The growing popularity of integrative medicine and preventive care is driving adoption, especially among millennials and health-conscious consumers. Additionally, partnerships with wellness brands and fitness tech companies are expanding the reach of holistic AI coaches across consumer and enterprise channels.

The chronic condition management segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the chronic condition management segment is predicted to witness the highest growth rate fueled by rising incidences of diabetes, hypertension, and cardiovascular diseases. AI health coaches in this space are designed to monitor symptoms, track medication adherence, and provide real-time alerts for clinical deterioration. These platforms often integrate with remote monitoring devices and EHRs, enabling continuous care outside hospital settings. As healthcare systems prioritize value-based care, AI-driven chronic disease management tools are gaining traction for their ability to reduce hospital readmissions and improve patient outcomes.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share driven by its robust digital health infrastructure and high consumer awareness. The region hosts several leading AI health tech firms, supported by favorable regulatory frameworks and strong venture capital activity. The U.S. and Canada are witnessing increased deployment of AI tools in clinical settings, particularly for behavioral health and chronic disease support. Moreover, the presence of tech-savvy populations and widespread smartphone penetration enhances market accessibility.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR fueled by rapid urbanization, growing healthcare expenditure, and expanding digital literacy. Countries like India, China, and South Korea are investing heavily in AI-driven health solutions to address workforce shortages and improve rural healthcare access. Local startups are innovating with multilingual, culturally adapted coaching platforms tailored to regional health challenges. Government initiatives promoting digital health adoption, such as India's Ayushman Bharat and China's Healthy China 2030, are creating fertile ground for market expansion.

Key players in the market

Some of the key players in AI Health Coaches Market include Noom, Inc., Omada Health, Inc., Lark Technologies, Inc., Vida Health, Thrive Global, HealthifyMe, Hinge Health, Twin Health, Rally Health, Wellable, Virgin Pulse, WellSteps, Advanced Wellness Systems, Choose Health Services LLC, Wellness Coaches USA, Vesta Healthcare, and Lyra Health.

Key Developments:

In August 2025, Thrive Global partnered with Microsoft to launch a wellbeing app for global workforce engagement. The app integrates microsteps and behavioral science to reduce burnout. It marks a major expansion into enterprise mental health.

In May 2025, Lark introduced customizable progress charts in Base dashboards. Users can visualize project milestones with animated bars and tailored colors. This improves clarity in team reporting and goal tracking.

In February 2025, Noom launched "Noom + HRT Rx," integrating behavior change with hormone therapy to support women through menopause. The program includes FDA-approved medications, personalized content, and AI-driven tracking. It builds on Noom's success in medically assisted weight loss.

Types Covered:

  • Holistic Health Coaching
  • Wellness Health Coaching
  • Primal/Paleo Health Coaching

Services Covered:

  • Nutrition & Diet Coaching
  • Fitness & Exercise Coaching
  • Chronic Condition Management
  • Mental & Emotional Wellbeing Coaching
  • Women's Health Coaching
  • Other Services

Platforms Covered:

  • Mobile Applications
  • Web-based Platforms
  • Wearable Devices & Sensors
  • Conversational AI
  • Hybrid Solutions
  • Other Platforms

Payment Models Covered:

  • Monthly Subscription
  • Annual Subscription
  • Per Session
  • Freemium with Paid Upgrades

Technologies Covered:

  • Machine Learning Models
  • Rule-Based Systems
  • Natural Language Processing (NLP)
  • Hybrid AI Systems
  • Computer Vision
  • Other Technologies

End Users Covered:

  • Healthcare Providers
  • Corporate Wellness Programs
  • Individual Consumers
  • Public Health Agencies
  • Insurance Companies
  • Other End Users

Regions Covered:

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • Italy
    • France
    • Spain
    • Rest of Europe
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia
    • New Zealand
    • South Korea
    • Rest of Asia Pacific
  • South America
    • Argentina
    • Brazil
    • Chile
    • Rest of South America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Qatar
    • South Africa
    • Rest of Middle East & Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2024, 2025, 2026, 2028, and 2032
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface

  • 2.1 Abstract
  • 2.2 Stake Holders
  • 2.3 Research Scope
  • 2.4 Research Methodology
    • 2.4.1 Data Mining
    • 2.4.2 Data Analysis
    • 2.4.3 Data Validation
    • 2.4.4 Research Approach
  • 2.5 Research Sources
    • 2.5.1 Primary Research Sources
    • 2.5.2 Secondary Research Sources
    • 2.5.3 Assumptions

3 Market Trend Analysis

  • 3.1 Introduction
  • 3.2 Drivers
  • 3.3 Restraints
  • 3.4 Opportunities
  • 3.5 Threats
  • 3.6 Technology Analysis
  • 3.7 End User Analysis
  • 3.8 Emerging Markets
  • 3.9 Impact of Covid-19

4 Porters Five Force Analysis

  • 4.1 Bargaining power of suppliers
  • 4.2 Bargaining power of buyers
  • 4.3 Threat of substitutes
  • 4.4 Threat of new entrants
  • 4.5 Competitive rivalry

5 Global AI Health Coaches Market, By Type

  • 5.1 Introduction
  • 5.2 Holistic Health Coaching
  • 5.3 Wellness Health Coaching
  • 5.4 Primal/Paleo Health Coaching

6 Global AI Health Coaches Market, By Service

  • 6.1 Introduction
  • 6.2 Nutrition & Diet Coaching
  • 6.3 Fitness & Exercise Coaching
  • 6.4 Chronic Condition Management
  • 6.5 Mental & Emotional Wellbeing Coaching
  • 6.6 Women's Health Coaching
  • 6.7 Other Services

7 Global AI Health Coaches Market, By Platform

  • 7.1 Introduction
  • 7.2 Mobile Applications
  • 7.3 Web-based Platforms
  • 7.4 Wearable Devices & Sensors
  • 7.5 Conversational AI
  • 7.6 Hybrid Solutions
  • 7.7 Other Platforms

8 Global AI Health Coaches Market, By Payment Model

  • 8.1 Introduction
  • 8.2 Monthly Subscription
  • 8.3 Annual Subscription
  • 8.4 Per Session
  • 8.5 Freemium with Paid Upgrades

9 Global AI Health Coaches Market, By Technology

  • 9.1 Introduction
  • 9.2 Machine Learning Models
  • 9.3 Rule-Based Systems
  • 9.4 Natural Language Processing (NLP)
  • 9.5 Hybrid AI Systems
  • 9.6 Computer Vision
  • 9.7 Other Technologies

10 Global AI Health Coaches Market, By End User

  • 10.1 Introduction
  • 10.2 Healthcare Providers
  • 10.3 Corporate Wellness Programs
  • 10.4 Individual Consumers
  • 10.5 Public Health Agencies
  • 10.6 Insurance Companies
  • 10.7 Other End Users

11 Global AI Health Coaches Market, By Geography

  • 11.1 Introduction
  • 11.2 North America
    • 11.2.1 US
    • 11.2.2 Canada
    • 11.2.3 Mexico
  • 11.3 Europe
    • 11.3.1 Germany
    • 11.3.2 UK
    • 11.3.3 Italy
    • 11.3.4 France
    • 11.3.5 Spain
    • 11.3.6 Rest of Europe
  • 11.4 Asia Pacific
    • 11.4.1 Japan
    • 11.4.2 China
    • 11.4.3 India
    • 11.4.4 Australia
    • 11.4.5 New Zealand
    • 11.4.6 South Korea
    • 11.4.7 Rest of Asia Pacific
  • 11.5 South America
    • 11.5.1 Argentina
    • 11.5.2 Brazil
    • 11.5.3 Chile
    • 11.5.4 Rest of South America
  • 11.6 Middle East & Africa
    • 11.6.1 Saudi Arabia
    • 11.6.2 UAE
    • 11.6.3 Qatar
    • 11.6.4 South Africa
    • 11.6.5 Rest of Middle East & Africa

12 Key Developments

  • 12.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 12.2 Acquisitions & Mergers
  • 12.3 New Product Launch
  • 12.4 Expansions
  • 12.5 Other Key Strategies

13 Company Profiling

  • 13.1 Noom, Inc.
  • 13.2 Omada Health, Inc.
  • 13.3 Lark Technologies, Inc.
  • 13.4 Vida Health
  • 13.5 Thrive Global
  • 13.6 HealthifyMe
  • 13.7 Hinge Health
  • 13.8 Twin Health
  • 13.9 Rally Health
  • 13.10 Wellable
  • 13.11 Virgin Pulse
  • 13.12 WellSteps
  • 13.13 Advanced Wellness Systems
  • 13.14 Choose Health Services LLC
  • 13.15 Wellness Coaches USA
  • 13.16 Vesta Healthcare
  • 13.17 Lyra Health

List of Tables

  • Table 1 Global AI Health Coaches Market Outlook, By Region (2024-2032) ($MN)
  • Table 2 Global AI Health Coaches Market Outlook, By Type (2024-2032) ($MN)
  • Table 3 Global AI Health Coaches Market Outlook, By Holistic Health Coaching (2024-2032) ($MN)
  • Table 4 Global AI Health Coaches Market Outlook, By Wellness Health Coaching (2024-2032) ($MN)
  • Table 5 Global AI Health Coaches Market Outlook, By Primal/Paleo Health Coaching (2024-2032) ($MN)
  • Table 6 Global AI Health Coaches Market Outlook, By Service (2024-2032) ($MN)
  • Table 7 Global AI Health Coaches Market Outlook, By Nutrition & Diet Coaching (2024-2032) ($MN)
  • Table 8 Global AI Health Coaches Market Outlook, By Fitness & Exercise Coaching (2024-2032) ($MN)
  • Table 9 Global AI Health Coaches Market Outlook, By Chronic Condition Management (2024-2032) ($MN)
  • Table 10 Global AI Health Coaches Market Outlook, By Mental & Emotional Wellbeing Coaching (2024-2032) ($MN)
  • Table 11 Global AI Health Coaches Market Outlook, By Women's Health Coaching (2024-2032) ($MN)
  • Table 12 Global AI Health Coaches Market Outlook, By Other Services (2024-2032) ($MN)
  • Table 13 Global AI Health Coaches Market Outlook, By Platform (2024-2032) ($MN)
  • Table 14 Global AI Health Coaches Market Outlook, By Mobile Applications (2024-2032) ($MN)
  • Table 15 Global AI Health Coaches Market Outlook, By Web-based Platforms (2024-2032) ($MN)
  • Table 16 Global AI Health Coaches Market Outlook, By Wearable Devices & Sensors (2024-2032) ($MN)
  • Table 17 Global AI Health Coaches Market Outlook, By Conversational AI (2024-2032) ($MN)
  • Table 18 Global AI Health Coaches Market Outlook, By Hybrid Solutions (2024-2032) ($MN)
  • Table 19 Global AI Health Coaches Market Outlook, By Other Platforms (2024-2032) ($MN)
  • Table 20 Global AI Health Coaches Market Outlook, By Payment Model (2024-2032) ($MN)
  • Table 21 Global AI Health Coaches Market Outlook, By Monthly Subscription (2024-2032) ($MN)
  • Table 22 Global AI Health Coaches Market Outlook, By Annual Subscription (2024-2032) ($MN)
  • Table 23 Global AI Health Coaches Market Outlook, By Per Session (2024-2032) ($MN)
  • Table 24 Global AI Health Coaches Market Outlook, By Freemium with Paid Upgrades (2024-2032) ($MN)
  • Table 25 Global AI Health Coaches Market Outlook, By Technology (2024-2032) ($MN)
  • Table 26 Global AI Health Coaches Market Outlook, By Machine Learning Models (2024-2032) ($MN)
  • Table 27 Global AI Health Coaches Market Outlook, By Rule-Based Systems (2024-2032) ($MN)
  • Table 28 Global AI Health Coaches Market Outlook, By Natural Language Processing (NLP) (2024-2032) ($MN)
  • Table 29 Global AI Health Coaches Market Outlook, By Hybrid AI Systems (2024-2032) ($MN)
  • Table 30 Global AI Health Coaches Market Outlook, By Computer Vision (2024-2032) ($MN)
  • Table 31 Global AI Health Coaches Market Outlook, By Other Technologies (2024-2032) ($MN)
  • Table 32 Global AI Health Coaches Market Outlook, By End User (2024-2032) ($MN)
  • Table 33 Global AI Health Coaches Market Outlook, By Healthcare Providers (2024-2032) ($MN)
  • Table 34 Global AI Health Coaches Market Outlook, By Corporate Wellness Programs (2024-2032) ($MN)
  • Table 35 Global AI Health Coaches Market Outlook, By Individual Consumers (2024-2032) ($MN)
  • Table 36 Global AI Health Coaches Market Outlook, By Public Health Agencies (2024-2032) ($MN)
  • Table 37 Global AI Health Coaches Market Outlook, By Insurance Companies (2024-2032) ($MN)
  • Table 38 Global AI Health Coaches Market Outlook, By Other End Users (2024-2032) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.