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市场调查报告书
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1865431

全球人工智慧营养指导平台市场：预测至2032年－按服务产品、交付方式、技术、最终用户和地区进行分析

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个工作天内

价格

根据 Stratistics MRC 的研究，全球 AI 营养指导平台市场预计到 2025 年价值 48 亿美元，到 2032 年达到 88 亿美元，预测期内复合年增长率为 9.1%。

人工智慧营养指导平台是一种利用人工智慧和机器学习技术，为使用者提供个人化、持续性饮食和生活方式指导的数位服务。这些平台会分析使用者的健康数据、食物摄取记录和健身指标，从而提供客製化的饮食提案、健康目标进度追踪以及激励性回馈。这些平台旨在使专家级的营养建议扩充性、可近性和高度个人化，从而推动永续的行为改变并改善健康状况。

据 Global Market Insights 称，该 AI 营养平台利用生物识别和生活方式数据来个性化饮食建议，并提供即时指导，以帮助用户管理体重、管理慢性疾病并实现健康目标。

个人化健康和保健解决方案日益普及

在健康意识不断增强和消费者对个人化营养管理的需求推动下，人工智慧驱动的平台正日益被用于提供数据驱动的客製化饮食计画。数位健康素养的提升和对行动健康应用程式日益增长的依赖，加速了这一趋势的普及。此外，人工智慧演算法的进步使得基于生物特征和生活方式数据提供精准的饮食建议成为可能。在预防性医疗保健趋势的推动下，这些系统正在提升使用者参与度和治疗效果。因此，个人化正在重新定义使用者体验。这种动态正在强劲地推动人工智慧营养指导平台市场的发展。

人工智慧营养管理应用中的资料隐私和安全问题

收集敏感的健康、基因和饮食数据引发了严重的隐私和网路安全问题。许多用户由于担心资料被滥用或洩露，对共用个人健康资讯持怀疑态度。此外，不同地区缺乏统一的资料保护框架也削弱了使用者的信任。即使引入了加密技术，用户仍然担忧第三方存取资料的问题。由于监管审查日益严格，企业面临不断上涨的合规成本。因此，资料隐私仍是限制市场扩张的一大障碍。

将穿戴式装置与即时膳食分析结合

在物联网快速融合的推动下，人工智慧营养平台正加速与穿戴式装置集成，以实现持续的健康监测。这使得平台能够根据血糖值、心率和活动水平等即时参数提供动态的膳食建议。即时分析透过回馈循环和自适应规划提升用户参与度。此外，穿戴式装置製造商与人工智慧医疗技术公司之间的合作正在强化创新管道。在消费者对精准营养管理的需求驱动下，这种融合创造了巨大的成长潜力。因此，与穿戴式数据的协同作用代表着一个变革性的市场机会。

关于人工智慧健康建议的监管不确定性

人工智慧在医疗分类和伦理合规方面的模糊性带来了重大挑战。许多司法管辖区缺乏关于人工智慧产生的健康建议的明确政策，这给开发者带来了营运风险。过度监管会扼杀创新，而监管不足则可能使消费者受到误导性指引。此外，国际标准的差异也使全球平台的部署更加复杂。在伦理辩论的驱动下，人工智慧课责框架仍处于不断变化之中。因此，不断变化的监管环境持续威胁市场的可预测性。

新冠疫情的感染疾病：

疫情显着加速了数位营养平台的普及，消费者纷纷寻求远距健康解决方案。封锁和健身房关闭导致人们更加依赖人工智慧指导的饮食管理工具来控制体重和增强免疫力。然而，经济的不确定性影响了部分地区的订阅支出。同时，人们对整体健康和免疫力的关注度不断提高，也增加了对个人化营养分析的兴趣。疫情过后，在人们行为习惯向数位化健康管理转变的推动下，这种需求依然持续。总而言之，新冠疫情重塑了消费者的预期，并推动了平台创新。

预计在预测期内，个人化膳食计划细分市场将占据最大的市场份额。

由于人们越来越偏好根据个人健康指标和生活方式目标量身定制的、由人工智慧优化的膳食计划，因此预计个人化饮食计划细分市场将在预测期内占据最大的市场份额。在数位化饮食管理工具广泛应用的推动下，该细分市场能够满足各种不同的饮食需求，包括生酮饮食、纯素和糖尿病友善饮食计划。演算法个人化程度的提高正在提升用户留存率和满意度。此外，与基因检测的整合进一步增强了饮食建议的准确性。在订阅模式的支持下，预计该细分市场将继续保持主导地位。

预计在预测期内，穿戴式装置和感测器资料整合领域将实现最高的复合年增长率。

在预测期内，穿戴式装置和感测器资料整合领域预计将实现最高成长率，这主要得益于能够追踪即时生理和活动数据的智慧型装置的日益普及。在健身和预防性医疗保健趋势的推动下，这种整合能够实现持续的回馈循环和自适应营养计划。生物感测器和人工智慧分析技术的进步将进一步完善膳食洞察。此外，与健身穿戴装置品牌的合作将加速生态系统的扩展。数据与营养之间的这种协同作用将推动技术的快速发展。

占比最大的地区：

由于数位医疗基础设施的快速发展以及都市区健康意识的不断增强，亚太地区预计将在预测期内占据最大的市场份额。在智慧型手机普及率不断提高和政府主导的健康促进措施的推动下，该地区的消费者正在大规模采用人工智慧营养平台。此外，不断壮大的中产阶级也更加重视预防性医疗保健的支出。中国、日本和印度等市场在医疗保健应用程式中对人工智慧的应用显着增加。区域内Start-Ups的持续创新也推动了市场成长。因此，亚太地区可望主导全球市场格局。

年复合成长率最高的地区：

在预测期内，北美预计将实现最高的复合年增长率，这主要得益于其高度成熟的技术、数位化医疗的普及以及强劲的人工智慧研发投入。受文明病日益增长的推动，消费者越来越重视精准营养。主要医疗技术创新者的存在以及有利的报销机制进一步促进了市场成长。此外，穿戴式装置的广泛应用和健身文化的兴起也推动了精准医疗的普及。与远端医疗平台的整合正在提升生态系统的连结性。因此，北美正在崛起为充满活力的成长前沿。

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    • 基于产品系列、地域覆盖和策略联盟对主要企业基准化分析

目录

第一章执行摘要

第二章 引言

  • 概述
  • 相关利益者
  • 分析范围
  • 分析方法
    • 资料探勘
    • 数据分析
    • 数据检验
    • 分析方法
  • 分析材料
    • 原始研究资料
    • 二手研究资讯来源
    • 先决条件

第三章 市场趋势分析

  • 介绍
  • 司机
  • 抑制因素
  • 市场机会
  • 威胁
  • 技术分析
  • 终端用户分析
  • 新兴市场
  • 新冠疫情的感染疾病

第四章 波特五力分析

  • 供应商的议价能力
  • 买方议价能力
  • 替代产品的威胁
  • 新参与企业的威胁
  • 公司间的竞争

5. 全球人工智慧营养指导平台市场（按服务产品划分）

  • 介绍
  • 个人化膳食计划
  • 即时回馈提醒
  • 追踪宏量和微量营养素
  • 教练辅助混合模式
  • 企业健康解决方案
  • 临床营养支持

6. 全球人工智慧营养指导平台市场按交付方式划分

  • 介绍
  • 行动应用
  • Web入口网站仪表板
  • 与健身平台集成
  • 医疗保健系统的 API 集成
  • 嵌入式伙伴关係
  • 远端医疗的联繫

7. 全球人工智慧营养指导平台市场（按技术划分）

  • 介绍
  • 人工智慧/机器学习引擎
  • 基于自然语言处理的对话代理
  • 预测性健康分析
  • 穿戴式装置和感测器数据集成
  • 行为科学模组
  • 云端健康数据平台

8. 全球人工智慧营养指导平台市场（按最终用户划分）

  • 介绍
  • 个人消费者
  • 健身/健身房会员资格
  • 健康计划
  • 医疗保健提供者
  • 营养师/註册营养师

9. 全球人工智慧营养指导平台市场（按地区划分）

  • 介绍
  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 义大利
    • 法国
    • 西班牙
    • 其他欧洲
  • 亚太地区
    • 日本
    • 中国
    • 印度
    • 澳洲
    • 纽西兰
    • 韩国
    • 亚太其他地区
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 其他南美洲国家
  • 中东和非洲
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 卡达
    • 南非
    • 其他中东和非洲地区

第十章：主要趋势

  • 合约、商业伙伴关係和合资企业
  • 企业合併（M&A）
  • 新产品发布
  • 业务拓展
  • 其他关键策略

第十一章 企业概况

  • 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.