The global AI in personalized nutrition market size was estimated at USD 1.54 billion in 2025 and is projected to reach USD 10.21 billion by 2033, growing at a CAGR of 27.21% from 2026 to 2033. Rising prevalence of lifestyle-related and chronic diseases, advances in AI, data analytics, and omics integration, and growing consumer demand for preventive and personalized health solutions are significant factors contributing to market growth.
Moreover, the expansion of digital health ecosystems and enterprise adoption is strengthening the market environment. The increasing prevalence of lifestyle-related and chronic diseases is a key factor driving market growth. Diseases such as obesity, diabetes, cardiovascular disorders, and metabolic syndrome are closely associated with poor dietary habits and sedentary behavior. For instance, according to the International Diabetes Federation (IDF), approximately 589 million people are currently living with diabetes, with an estimated number to reach 853 million by 2050. Conventional dietary guidelines frequently fail to account for individual differences in metabolism, genetics, and health status. AI-powered nutrition platforms facilitate precise dietary interventions by analyzing biometric data, clinical records, and lifestyle information. These technologies enable early risk identification and the development of targeted nutritional recommendations.
Healthcare systems and employers are adopting personalized nutrition tools to enhance preventive care strategies. The emphasis on reducing long-term healthcare costs through nutrition-based interventions is further accelerating market adoption. For instance, in December 2025, Avid Health partnered with Healthnix to strengthen chronic care programs for FQHCs and primary-care practices in Texas by making nutrition education and behavioral skills more accessible to patients. The partnership leverages Aivid's MagSync platform, which aggregates clinical, RPM, and SDOH data, and integrates Healthnix's Medical Nutrition Therapy tools, personalized dietitian advice, and curricula on gut-brain-pain connections.
Furthermore, the increasing availability of affordable wearable devices and at-home testing kits has expanded access to health data, supplying artificial intelligence models with longitudinal datasets for generating highly personalized recommendations. For instance, in May 2025, ŌURA launched Meals and Glucose features in its ring, integrating AI-driven meal photo analysis with Stelo by Dexcom's FDA-cleared OTC glucose biosensor in the Oura App. Meals provides non-judgmental macronutrient breakdowns, protein/fiber insights, and Oura Advisor guidance for sustainable habits.
“Personalized guidance and insights are essential for helping people understand how their lifestyle choices affect their body, while also encouraging them to make informed health decisions that can improve their overall quality of life. By integrating with ŌURA, we're bringing the first glucose biosensor and smart ring integration to the market, providing a one-of-a-kind and personalized metabolic health experience that allows users to better understand the link between activity, sleep, stress, nutrition, and their glucose. Through this partnership, we’re once again redefining the wearable technology category in the pursuit of empowering people to take control of their health.”
Moreover, microbiome analysis of stool samples supports individualized prebiotic interventions, while digital platforms update these recommendations weekly. Thus, such technologies enable dynamic nutrition recommendations that adapt to real-time physiological and behavioral changes, thereby further driving market growth.
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Moreover, the expansion of digital health ecosystems and enterprise adoption is strengthening the market environment. The increasing prevalence of lifestyle-related and chronic diseases is a key factor driving market growth. Diseases such as obesity, diabetes, cardiovascular disorders, and metabolic syndrome are closely associated with poor dietary habits and sedentary behavior. For instance, according to the International Diabetes Federation (IDF), approximately 589 million people are currently living with diabetes, with an estimated number to reach 853 million by 2050. Conventional dietary guidelines frequently fail to account for individual differences in metabolism, genetics, and health status. AI-powered nutrition platforms facilitate precise dietary interventions by analyzing biometric data, clinical records, and lifestyle information. These technologies enable early risk identification and the development of targeted nutritional recommendations.
Healthcare systems and employers are adopting personalized nutrition tools to enhance preventive care strategies. The emphasis on reducing long-term healthcare costs through nutrition-based interventions is further accelerating market adoption. For instance, in December 2025, Avid Health partnered with Healthnix to strengthen chronic care programs for FQHCs and primary-care practices in Texas by making nutrition education and behavioral skills more accessible to patients. The partnership leverages Aivid's MagSync platform, which aggregates clinical, RPM, and SDOH data, and integrates Healthnix's Medical Nutrition Therapy tools, personalized dietitian advice, and curricula on gut-brain-pain connections.
Furthermore, the increasing availability of affordable wearable devices and at-home testing kits has expanded access to health data, supplying artificial intelligence models with longitudinal datasets for generating highly personalized recommendations. For instance, in May 2025, ŌURA launched Meals and Glucose features in its ring, integrating AI-driven meal photo analysis with Stelo by Dexcom's FDA-cleared OTC glucose biosensor in the Oura App. Meals provides non-judgmental macronutrient breakdowns, protein/fiber insights, and Oura Advisor guidance for sustainable habits.
“Personalized guidance and insights are essential for helping people understand how their lifestyle choices affect their body, while also encouraging them to make informed health decisions that can improve their overall quality of life. By integrating with ŌURA, we're bringing the first glucose biosensor and smart ring integration to the market, providing a one-of-a-kind and personalized metabolic health experience that allows users to better understand the link between activity, sleep, stress, nutrition, and their glucose. Through this partnership, we’re once again redefining the wearable technology category in the pursuit of empowering people to take control of their health.”
- Jake Leach, executive vice president and chief operating officer at Dexcom.
Moreover, microbiome analysis of stool samples supports individualized prebiotic interventions, while digital platforms update these recommendations weekly. Thus, such technologies enable dynamic nutrition recommendations that adapt to real-time physiological and behavioral changes, thereby further driving market growth.
Global AI In Personalized Nutrition Market Report Segmentation
This report forecasts revenue growth at global, regional, and country levels and provides an analysis of the latest industry trends in each of the sub-segments from 2021 to 2033. For this study, the analyst has segmented the global AI in personalized nutrition market report based on type, application, end use, and region:Type Outlook (Revenue, USD Million, 2021-2033)
- AI Nutrition Apps
- Test-based personalization (DNA / Microbiome / Blood)
- Device-linked metabolic platforms
- Enterprise / Clinical platforms
Application Outlook (Revenue, USD Million, 2021-2033)
- AI-Based Meal Planning & Recommendations
- Nutrient & Micronutrient Analysis
- Personalized Supplement Recommendations
- Allergen & Food Sensitivity Identification
- Health & Metabolic Monitoring
- Others
End Use Outlook (Revenue, USD Million, 2021-2033)
- Individuals / Consumers
- Fitness & Wellness Organizations
- Healthcare Providers
- Employers & Enterprises
- Others
Regional Outlook (Revenue, USD Million, 2021-2033)
- North America
- Europe
- Asia Pacific
- Latin America
- MEA
Why You Should Buy This Report
- Comprehensive Market Analysis: Gain detailed insights into the market across major regions and segments.
- Competitive Landscape: Explore the market presence of key players.
- Future Trends: Discover the pivotal trends and drivers shaping the future of the market.
- Actionable Recommendations: Utilize insights to uncover new revenue streams and guide strategic business decisions.
This report addresses:
- Market intelligence to enable effective decision-making
- Market estimates and forecasts from 2018 to 2030
- Growth opportunities and trend analyses
- Segment and regional revenue forecasts for market assessment
- Competition strategy and market share analysis
- Product innovation listings for you to stay ahead of the curve
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Table of Contents
Chapter 1. Methodology and Scope
Chapter 2. Executive Summary
Chapter 3. AI in Personalized Nutrition Market Variables, Trends & Scope
Chapter 4. AI in Personalized Nutrition Market: Type Estimates & Trend Analysis
Chapter 5. AI in Personalized Nutrition Market: Application Estimates & Trend Analysis
Chapter 6. AI in Personalized Nutrition Market: End Use Estimates & Trend Analysis
Chapter 7. AI in Personalized Nutrition Market: Regional Estimates & Trend Analysis
Chapter 8. Competitive Landscape
List of Tables
List of Figures
Companies Mentioned
The leading players profiled in this AI in Personalized Nutrition market report include:- Appinventiv
- BetterMeal Al
- BiteAI
- Culina Health
- DayTwo
- EatLove
- EIT Food
- Habit
- InsideTracker
- January AI
- LemonBox
- Nourished
- Nutrigenomix Inc.
- Nutrify LLC
- Nutrino Health Ltd.
- Persona Nutrition
- Spur Fit
- Suggestic Inc.
- Viome Inc
- Zoe Ltd.
