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1865431

全球人工智慧營養指導平台市場：預測至2032年－按服務產品、交付方式、技術、最終用戶和地區進行分析

AI Nutrition Coaching Platforms Market Forecasts to 2032 - Global Analysis By Service Offering, Delivery Mode, 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 的研究，全球 AI 營養指導平台市場預計到 2025 年價值 48 億美元，到 2032 年達到 88 億美元，預測期內複合年成長率為 9.1%。

人工智慧營養指導平台是一種利用人工智慧和機器學習技術，為使用者提供個人化、持續性飲食和生活方式指導的數位服務。這些平台會分析使用者的健康數據、食物攝取記錄和健身指標，從而提供客製化的飲食提案、健康目標進度追蹤以及激勵性回饋。這些平台旨在使專家級的營養建議擴充性、可近性和高度個人化，從而推動永續的行為改變並改善健康狀況。

據 Global Market Insights 稱，該 AI 營養平台利用生物識別和生活方式數據來個性化飲食建議，並提供即時指導，以幫助用戶管理體重、管理慢性疾病並實現健康目標。

個人化健康和保健解決方案日益普及

在健康意識不斷增強和消費者對個人化營養管理的需求推動下，人工智慧驅動的平台正日益被用於提供數據驅動的客製化飲食計畫。數位健康素養的提升和對行動健康應用程式日益成長的依賴，加速了這一趨勢的普及。此外，人工智慧演算法的進步使得基於生物特徵和生活方式數據提供精準的飲食建議成為可能。在預防性醫療保健趨勢的推動下，這些系統正在提升使用者參與度和治療效果。因此，個人化正在重新定義使用者體驗。這種動態正在強勁地推動人工智慧營養指導平台市場的發展。

人工智慧營養管理應用中的資料隱私和安全問題

收集敏感的健康、基因和飲食數據引發了嚴重的隱私和網路安全問題。許多用戶由於擔心資料被濫用或洩露，對共用個人健康資訊持懷疑態度。此外，不同地區缺乏統一的資料保護框架也削弱了使用者的信任。即使引入了加密技術，用戶仍然擔憂第三方存取資料的問題。由於監管審查日益嚴格，企業面臨不斷上漲的合規成本。因此，資料隱私仍是限制市場擴張的一大障礙。

將穿戴式裝置與即時膳食分析結合

在物聯網快速融合的推動下，人工智慧營養平台正加速與穿戴式裝置整合，以實現持續的健康監測。這使得平台能夠根據血糖值、心率和活動水平等即時參數提供動態的膳食建議。即時分析透過回饋循環和自適應規劃提升用戶參與度。此外，穿戴式裝置製造商與人工智慧醫療技術公司之間的合作正在強化創新管道。在消費者對精準營養管理的需求驅動下，這種融合創造了巨大的成長潛力。因此，與穿戴式數據的協同作用代表著一個變革性的市場機會。

關於人工智慧健康建議的監管不確定性

人工智慧在醫療分類和倫理合規方面的模糊性帶來了重大挑戰。許多司法管轄區缺乏關於人工智慧產生的健康建議的明確政策，這給開發者帶來了營運風險。過度監管會扼殺創新，而監管不足則可能使消費者受到誤導性指引。此外，國際標準的差異也使全球平台的部署更加複雜。在倫理辯論的驅動下，人工智慧課責框架仍處於不斷變化之中。因此，不斷變化的監管環境持續威脅市場的可預測性。

新冠疫情的感染疾病：

疫情顯著加速了數位營養平台的普及，消費者紛紛尋求遠距健康解決方案。封鎖和健身房關閉導致人們更加依賴人工智慧指導的飲食管理工具來控制體重和增強免疫力。然而，經濟的不確定性影響了部分地區的訂閱支出。同時，人們對整體健康和免疫力的關注度不斷提高，也增加了對個人化營養分析的興趣。疫情過後，在人們行為習慣向數位化健康管理轉變的推動下，這種需求依然持續。總而言之，新冠疫情重塑了消費者的預期，並推動了平台創新。

預計在預測期內，個人化膳食計劃細分市場將佔據最大的市場佔有率。

由於人們越來越偏好根據個人健康指標和生活方式目標量身定做的、由人工智慧最佳化的膳食計劃，因此預計個人化飲食計劃細分市場將在預測期內佔據最大的市場佔有率。在數位化飲食管理工具廣泛應用的推動下，該細分市場能夠滿足各種不同的飲食需求，包括生酮飲食、純素和糖尿病友善飲食計劃。演算法個人化程度的提高正在提升用戶留存率和滿意度。此外，與基因檢測的整合進一步增強了飲食建議的準確性。在訂閱模式的支持下，預計該細分市場將繼續保持主導地位。

預計在預測期內，穿戴式裝置和感測器資料整合領域將實現最高的複合年成長率。

在預測期內，穿戴式裝置和感測器資料整合領域預計將實現最高成長率，這主要得益於能夠追蹤即時生理和活動數據的智慧型裝置的日益普及。在健身和預防性醫療保健趨勢的推動下，這種整合能夠實現持續的回饋循環和自適應營養計劃。生物感測器和人工智慧分析技術的進步將進一步完善膳食洞察。此外，與健身穿戴裝置品牌的合作將加速生態系統的擴展。數據與營養之間的這種協同作用將推動技術的快速發展。

佔比最大的地區：

由於數位醫療基礎設施的快速發展以及都市區健康意識的不斷增強，亞太地區預計將在預測期內佔據最大的市場佔有率。在智慧型手機普及率不斷提高和政府主導的健康促進措施的推動下，該地區的消費者正在大規模採用人工智慧營養平台。此外，不斷壯大的中產階級也更加重視預防性醫療保健的支出。中國、日本和印度等市場在醫療保健應用程式中對人工智慧的應用顯著增加。區域內Start-Ups的持續創新也推動了市場成長。因此，亞太地區可望主導全球市場格局。

年複合成長率最高的地區：

在預測期內，北美預計將實現最高的複合年成長率，這主要得益於其高度成熟的技術、數位化醫療的普及以及強勁的人工智慧研發投入。受文明病日益成長的推動，消費者越來越重視精準營養。主要醫療技術創新者的存在以及有利的報銷機制進一步促進了市場成長。此外，穿戴式裝置的廣泛應用和健身文化的興起也推動了精準醫療的普及。與遠端醫療平台的整合正在提升生態系統的連結性。因此，北美正在崛起為充滿活力的成長前沿。

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目錄

第1章執行摘要

第2章 引言

  • 概述
  • 相關利益者
  • 分析範圍
  • 分析方法
    • 資料探勘
    • 數據分析
    • 數據檢驗
    • 分析方法
  • 分析材料
    • 原始研究資料
    • 二手研究資訊來源
    • 先決條件

第3章 市場趨勢分析

  • 介紹
  • 促進要素
  • 抑制因素
  • 市場機遇
  • 威脅
  • 技術分析
  • 終端用戶分析
  • 新興市場
  • 新冠疫情的感染疾病

第4章 波特五力分析

  • 供應商的議價能力
  • 買方議價能力
  • 替代產品的威脅
  • 新參與企業的威脅
  • 公司間的競爭

5. 全球人工智慧營養指導平台市場（按服務產品分類）

  • 介紹
  • 個人化膳食計劃
  • 即時回饋提醒
  • 追蹤宏量和微量營養素
  • 教練輔助混合模式
  • 企業健康解決方案
  • 臨床營養支持

6. 全球人工智慧營養指導平台市場按交付方式分類

  • 介紹
  • 行動應用
  • Web入口網站儀表板
  • 與健身平台整合
  • 醫療保健系統的 API 整合
  • 嵌入式夥伴關係
  • 遠端醫療的聯繫

7. 全球人工智慧營養指導平台市場（按技術分類）

  • 介紹
  • 人工智慧/機器學習引擎
  • 基於自然語言處理的對話代理
  • 預測性健康分析
  • 穿戴式裝置和感測器資料整合
  • 行為科學模組
  • 雲端健康數據平台

8. 全球人工智慧營養指導平台市場（按最終用戶分類）

  • 介紹
  • 個人消費者
  • 健身/健身房會員資格
  • 健康計劃
  • 醫療保健提供者
  • 營養師/註冊營養師

9. 全球人工智慧營養指導平台市場（按地區分類）

  • 介紹
  • 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
  • 亞太地區
    • 日本
    • 中國
    • 印度
    • 澳洲
    • 紐西蘭
    • 韓國
    • 亞太其他地區
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 其他南美洲國家
  • 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10章：主要趨勢

  • 合約、商業夥伴關係和合資企業
  • 企業合併（M&A）
  • 新產品發布
  • 業務拓展
  • 其他關鍵策略

第11章 企業概況

  • Noom
  • Suggestic
  • Lifesum
  • Nutrino Health
  • Yazio
  • Cronometer
  • Foodvisor
  • NutriSense
  • CalorieMama
  • CareClinic
  • DietSensor
  • Nourishly
  • WeightWatchers
  • Fooducate
  • Eat This Much
  • Wellory
Product Code: SMRC32153

According to Stratistics MRC, the Global AI Nutrition Coaching Platforms Market is accounted for $4.8 billion in 2025 and is expected to reach $8.8 billion by 2032 growing at a CAGR of 9.1% during the forecast period. AI Nutrition Coaching Platforms are digital services that utilize artificial intelligence and machine learning to provide personalized and continuous guidance on dietary and lifestyle choices. They analyze a user's health data, food intake logs, and fitness metrics to offer tailored meal suggestions, track progress toward health goals, and deliver motivational feedback. These platforms are designed to make professional-grade nutritional advice scalable, accessible, and highly individualized to promote sustainable behavior change and better health outcomes.

According to Global Market Insights, AI nutrition platforms personalize dietary advice using biometric and lifestyle data, helping users manage weight, chronic conditions, and wellness goals through real-time coaching.

Market Dynamics:

Driver:

Growing adoption of personalized health & wellness solutions

Fueled by rising health consciousness and consumer demand for tailored nutrition, AI-driven platforms are increasingly being used to deliver data-based, customized meal plans. The surge in digital health literacy and growing reliance on mobile health apps are accelerating this adoption. Furthermore, advancements in AI algorithms enable precise dietary recommendations aligned with biometric and lifestyle data. Spurred by preventive healthcare trends, these systems enhance engagement and outcomes. Consequently, personalization is redefining user experience. This dynamic strongly propels the AI Nutrition Coaching Platforms Market forward.

Restraint:

Data privacy and security concerns in AI-driven nutrition apps

The collection of sensitive health, genetic, and dietary data raises major privacy and cybersecurity concerns. Many users remain skeptical about sharing personal health information due to risks of misuse or breaches. Additionally, the lack of standardized data protection frameworks across regions hampers user confidence. Even with encryption technologies, concerns over third-party access persist. Spurred by regulatory scrutiny, companies face increasing compliance costs. Thus, data privacy remains a pivotal restraint limiting market expansion.

Opportunity:

Integration of wearable devices and real-time dietary analytics

Driven by rapid IoT integration, AI nutrition platforms are increasingly merging with wearable devices for continuous health monitoring. This enables dynamic dietary recommendations based on live parameters such as glucose levels, heart rate, and activity metrics. Real-time analytics enhance user engagement through feedback loops and adaptive plans. Furthermore, partnerships between wearable manufacturers and AI health-tech firms are strengthening innovation pipelines. Fueled by consumer demand for precision nutrition, this convergence creates immense growth potential. Hence, wearable-data synergy represents a transformative market opportunity.

Threat:

Regulatory uncertainties in AI-based health recommendations

Ambiguity surrounding AI's medical classification and ethical compliance poses a major challenge. Many jurisdictions lack clear policies on AI-generated health advice, creating operational risks for developers. Overregulation may stifle innovation, while underregulation could expose consumers to misleading guidance. Furthermore, varying international standards complicate global platform deployment. Spurred by ethical debates, AI accountability frameworks remain in flux. Consequently, evolving regulatory landscapes continue to threaten market predictability.

Covid-19 Impact:

The pandemic significantly accelerated the adoption of digital nutrition platforms as consumers sought remote wellness solutions. Lockdowns and gym closures increased dependence on AI-guided dietary tools for weight management and immunity support. However, economic uncertainty affected subscription spending in some regions. Simultaneously, the emphasis on holistic health and immunity boosted interest in personalized nutrition analytics. Fueled by behavioral shifts toward digital health management, post-pandemic demand has sustained. Overall, COVID-19 reshaped consumer expectations, driving platform innovation.

The personalised meal plans segment is expected to be the largest during the forecast period

The personalised meal plans segment is expected to account for the largest market share during the forecast period, owing to the growing preference for customized, AI-curated diets that align with individual health metrics and lifestyle goals. Spurred by the proliferation of digital diet-tracking tools, this segment caters to diverse dietary needs like keto, vegan, and diabetic-friendly plans. Enhanced algorithmic personalization ensures higher adherence and satisfaction. Moreover, integration with genetic testing enhances meal precision. Supported by subscription-based models, this segment maintains dominant market traction.

The wearable & sensor data integration segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the wearable & sensor data integration segment is predicted to witness the highest growth rate, reinforced by the increasing adoption of smart devices that track real-time physiological and activity data. Fueled by fitness and preventive healthcare trends, these integrations allow for continuous feedback loops and adaptive nutrition plans. Advancements in biosensors and AI analytics further refine dietary insights. Moreover, partnerships with fitness wearable brands accelerate ecosystem expansion. This synergy between data and nutrition fosters rapid technological progression.

Region with largest share:

During the forecast period, the Asia Pacific region is expected to hold the largest market share, ascribed to its rapidly growing digital health infrastructure and rising urban health awareness. Fueled by increasing smartphone penetration and government wellness initiatives, regional consumers are adopting AI nutrition platforms at scale. Additionally, expanding middle-class populations prioritize preventive health spending. Markets like China, Japan, and India exhibit strong AI adoption in healthcare apps. Continuous innovation by regional startups bolsters growth. Thus, Asia Pacific dominates the global market landscape.

Region with highest CAGR:

Over the forecast period, the North America region is anticipated to exhibit the highest CAGR, associated with strong technological maturity, digital healthcare adoption, and robust AI R&D investments. Spurred by the rising prevalence of lifestyle-related disorders, consumers increasingly embrace precision nutrition. The presence of key health-tech innovators and favorable reimbursement frameworks further support market growth. Moreover, wearable penetration and fitness culture amplify adoption rates. Integration with telehealth platforms enhances ecosystem connectivity. Hence, North America emerges as a dynamic growth frontier.

Key players in the market

Some of the key players in AI Nutrition Coaching Platforms Market include Noom, Suggestic, Lifesum, Nutrino Health, Yazio, Cronometer, Foodvisor, NutriSense, CalorieMama, CareClinic, DietSensor, Nourishly, WeightWatchers, Fooducate, Eat This Much, and Wellory.

Key Developments:

In April 2025, Suggestic expanded its platform with voice and video coaching, dynamic meal planning, and third-party wearable integrations. This upgrade enhances personalization and engagement for health providers using AI-driven nutrition programs.

In June 2024, Noom launched two AI-powered features: AI food logging and Welli, a personal health assistant. These tools use photo, text, and voice inputs to simplify meal tracking and deliver personalized coaching for chronic disease prevention.

Service Offerings Covered:

  • Personalised Meal Plans
  • Real-Time Feedback & Nudges
  • Macro & Micro Nutrient Tracking
  • Coach-Assisted Hybrid Models
  • Corporate Wellness Solutions
  • Clinical Nutrition Support

Delivery Modes Covered:

  • Mobile Applications
  • Web Portals & Dashboards
  • Integration with Fitness Platforms
  • API Integrations for Health Systems
  • Embedded Device Partnerships
  • Telehealth & Remote Consultation Links

Technologies Covered:

  • AI & Machine Learning Engines
  • NLP-Based Conversational Agents
  • Predictive Health Analytics
  • Wearable & Sensor Data Integration
  • Behavioural Science Modules
  • Cloud Health Data Platforms

End Users Covered:

  • Individual Consumers
  • Fitness & Gym Members
  • Wellness Programs
  • Healthcare Providers
  • Nutritionists & Dietitians

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 Nutrition Coaching Platforms Market, By Service Offering

  • 5.1 Introduction
  • 5.2 Personalised Meal Plans
  • 5.3 Real-Time Feedback & Nudges
  • 5.4 Macro & Micro Nutrient Tracking
  • 5.5 Coach-Assisted Hybrid Models
  • 5.6 Corporate Wellness Solutions
  • 5.7 Clinical Nutrition Support

6 Global AI Nutrition Coaching Platforms Market, By Delivery Mode

  • 6.1 Introduction
  • 6.2 Mobile Applications
  • 6.3 Web Portals & Dashboards
  • 6.4 Integration with Fitness Platforms
  • 6.5 API Integrations for Health Systems
  • 6.6 Embedded Device Partnerships
  • 6.7 Telehealth & Remote Consultation Links

7 Global AI Nutrition Coaching Platforms Market, By Technology

  • 7.1 Introduction
  • 7.2 AI & Machine Learning Engines
  • 7.3 NLP-Based Conversational Agents
  • 7.4 Predictive Health Analytics
  • 7.5 Wearable & Sensor Data Integration
  • 7.6 Behavioural Science Modules
  • 7.7 Cloud Health Data Platforms

8 Global AI Nutrition Coaching Platforms Market, By End User

  • 8.1 Introduction
  • 8.2 Individual Consumers
  • 8.3 Fitness & Gym Members
  • 8.4 Wellness Programs
  • 8.5 Healthcare Providers
  • 8.6 Nutritionists & Dietitians

9 Global AI Nutrition Coaching Platforms Market, By Geography

  • 9.1 Introduction
  • 9.2 North America
    • 9.2.1 US
    • 9.2.2 Canada
    • 9.2.3 Mexico
  • 9.3 Europe
    • 9.3.1 Germany
    • 9.3.2 UK
    • 9.3.3 Italy
    • 9.3.4 France
    • 9.3.5 Spain
    • 9.3.6 Rest of Europe
  • 9.4 Asia Pacific
    • 9.4.1 Japan
    • 9.4.2 China
    • 9.4.3 India
    • 9.4.4 Australia
    • 9.4.5 New Zealand
    • 9.4.6 South Korea
    • 9.4.7 Rest of Asia Pacific
  • 9.5 South America
    • 9.5.1 Argentina
    • 9.5.2 Brazil
    • 9.5.3 Chile
    • 9.5.4 Rest of South America
  • 9.6 Middle East & Africa
    • 9.6.1 Saudi Arabia
    • 9.6.2 UAE
    • 9.6.3 Qatar
    • 9.6.4 South Africa
    • 9.6.5 Rest of Middle East & Africa

10 Key Developments

  • 10.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 10.2 Acquisitions & Mergers
  • 10.3 New Product Launch
  • 10.4 Expansions
  • 10.5 Other Key Strategies

11 Company Profiling

  • 11.1 Noom
  • 11.2 Suggestic
  • 11.3 Lifesum
  • 11.4 Nutrino Health
  • 11.5 Yazio
  • 11.6 Cronometer
  • 11.7 Foodvisor
  • 11.8 NutriSense
  • 11.9 CalorieMama
  • 11.10 CareClinic
  • 11.11 DietSensor
  • 11.12 Nourishly
  • 11.13 WeightWatchers
  • 11.14 Fooducate
  • 11.15 Eat This Much
  • 11.16 Wellory

List of Tables

  • Table 1 Global AI Nutrition Coaching Platforms Market Outlook, By Region (2024-2032) ($MN)
  • Table 2 Global AI Nutrition Coaching Platforms Market Outlook, By Service Offering (2024-2032) ($MN)
  • Table 3 Global AI Nutrition Coaching Platforms Market Outlook, By Personalised Meal Plans (2024-2032) ($MN)
  • Table 4 Global AI Nutrition Coaching Platforms Market Outlook, By Real-Time Feedback & Nudges (2024-2032) ($MN)
  • Table 5 Global AI Nutrition Coaching Platforms Market Outlook, By Macro & Micro Nutrient Tracking (2024-2032) ($MN)
  • Table 6 Global AI Nutrition Coaching Platforms Market Outlook, By Coach-Assisted Hybrid Models (2024-2032) ($MN)
  • Table 7 Global AI Nutrition Coaching Platforms Market Outlook, By Corporate Wellness Solutions (2024-2032) ($MN)
  • Table 8 Global AI Nutrition Coaching Platforms Market Outlook, By Clinical Nutrition Support (2024-2032) ($MN)
  • Table 9 Global AI Nutrition Coaching Platforms Market Outlook, By Delivery Mode (2024-2032) ($MN)
  • Table 10 Global AI Nutrition Coaching Platforms Market Outlook, By Mobile Applications (2024-2032) ($MN)
  • Table 11 Global AI Nutrition Coaching Platforms Market Outlook, By Web Portals & Dashboards (2024-2032) ($MN)
  • Table 12 Global AI Nutrition Coaching Platforms Market Outlook, By Integration with Fitness Platforms (2024-2032) ($MN)
  • Table 13 Global AI Nutrition Coaching Platforms Market Outlook, By API Integrations for Health Systems (2024-2032) ($MN)
  • Table 14 Global AI Nutrition Coaching Platforms Market Outlook, By Embedded Device Partnerships (2024-2032) ($MN)
  • Table 15 Global AI Nutrition Coaching Platforms Market Outlook, By Telehealth & Remote Consultation Links (2024-2032) ($MN)
  • Table 16 Global AI Nutrition Coaching Platforms Market Outlook, By Technology (2024-2032) ($MN)
  • Table 17 Global AI Nutrition Coaching Platforms Market Outlook, By AI & Machine Learning Engines (2024-2032) ($MN)
  • Table 18 Global AI Nutrition Coaching Platforms Market Outlook, By NLP-Based Conversational Agents (2024-2032) ($MN)
  • Table 19 Global AI Nutrition Coaching Platforms Market Outlook, By Predictive Health Analytics (2024-2032) ($MN)
  • Table 20 Global AI Nutrition Coaching Platforms Market Outlook, By Wearable & Sensor Data Integration (2024-2032) ($MN)
  • Table 21 Global AI Nutrition Coaching Platforms Market Outlook, By Behavioural Science Modules (2024-2032) ($MN)
  • Table 22 Global AI Nutrition Coaching Platforms Market Outlook, By Cloud Health Data Platforms (2024-2032) ($MN)
  • Table 23 Global AI Nutrition Coaching Platforms Market Outlook, By End User (2024-2032) ($MN)
  • Table 24 Global AI Nutrition Coaching Platforms Market Outlook, By Individual Consumers (2024-2032) ($MN)
  • Table 25 Global AI Nutrition Coaching Platforms Market Outlook, By Fitness & Gym Members (2024-2032) ($MN)
  • Table 26 Global AI Nutrition Coaching Platforms Market Outlook, By Corporate Employees (2024-2032) ($MN)
  • Table 27 Global AI Nutrition Coaching Platforms Market Outlook, By Healthcare Providers (2024-2032) ($MN)
  • Table 28 Global AI Nutrition Coaching Platforms Market Outlook, By Nutritionists & Dietitians (2024-2032) ($MN)

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