AI In Personalized Nutrition Market growing at a CAGR of 27.21% from 2026 to 2033
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.
Key Market Trends & Insights
- North America AI in personalized nutrition market held the largest share of over 52% of the global market in 2025.
- The AI in personalized nutrition industry in the U.S. is expected to grow significantly over the forecast period.
- Based on type, the AI nutrition apps segment held the highest market share of over 48% in 2025.
- Based on application, the AI-based meal planning & recommendations segment held the highest market share of over 41% in 2025.
- Based on end use, the individuals/consumers segment held the largest market share of over 46% in 2025.
Market Size & Forecast
- 2025 Market Size: USD 1.54 Billion
- 2033 Projected Market Size: USD 10.21 Billion
- CAGR (2026-2033): 27.21%
- North America: Largest market in 2025
- Asia Pacific: Fastest-growing market
Request Free Sample Report: https://www.grandviewresearch.com/industry-analysis/ai-personalized-nutrition-market-report/request/rs1
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.
Market Concentration & Characteristics
The chart below illustrates the relationship between industry concentration, industry characteristics, and industry participants. The x-axis represents the level of industry concentration, ranging from low to high. The y-axis represents various industry characteristics, including industry competition, level of partnerships & collaboration activities, degree of innovation, impact of regulations, and regional expansion. The market is fragmented, with several emerging players entering the market. The degree of innovation is high. The level of merger & acquisition activities and the impact of regulations is moderate. However, the regional expansion of industry is high.
AI in personalized nutrition industry is characterized by constant innovation, with a strong focus on launching new apps and platforms. In addition, companies are launching personalized nutrition plans featuring nutrient-specific meals, recipes, shopping lists, and dining-out menu scans to ensure individuals get the proper nutrients whenever and wherever they eat. For instance, in October 2023, Ahara launched a free Basic plan for AI-driven, personalized nutrition based on a health questionnaire. It delivers precise nutrient reports and food/supplement recommendations. Targets heart, brain, and metabolic health; app features recipes and scanning. Premium adds DNA/biomarker tests.
Type Insights
Based on type, the AI nutrition apps segment held the largest revenue share of 48.81% in 2025 due to their accessibility, scalability, and direct-to-consumer delivery model. These apps use machine learning algorithms to analyze dietary habits, biometric data, lifestyle factors, and health goals to generate personalized meal plans and nutrition recommendations. Moreover, integration with wearable devices and smartphone sensors enables continuous data capture, allowing real-time dietary adjustments. For instance, in February 2025, Alma launched an AI-powered nutrition companion app featuring proactive, personalized tips, recipe/product discovery, and culturally diverse options.
Application Insights
Based on application, the AI-based meal planning & recommendations segment accounted for the largest revenue share of 41.45% in 2025. This segment employs advanced algorithms to generate individualized meal plans tailored to specific health goals, dietary preferences, medical conditions, and nutritional requirements. Growth in this area is primarily driven by the increasing prevalence of chronic diseases and the demand for structured, outcome-oriented nutrition management. Artificial intelligence facilitates scalable personalization while ensuring nutritional accuracy and compliance with clinical guidelines. As a result, healthcare providers and employers are adopting these tools to enhance preventive care and wellness programs.
The personalized supplement recommendations segment is anticipated to witness the fastest growth during the forecast period. The personalized supplement recommendations area uses advanced algorithms to analyze a person’s eating habits, test results, daily routines, and inherited factors to provide personalized advice on which vitamins and supplements to take. These programs identify missing nutrients, potential risks in absorbing them, and possible interactions with other supplements, making the advice more tailored than one-size-fits-all suggestions. Such factors are expected to contribute to the segment’s growth.
End Use Insights
Based on end use, the individuals/consumers segment held the largest market share of 46.84%, driven by growing health awareness and demand for self-managed wellness tools. AI platforms deliver tailored dietary insights using inputs such as lifestyle data, fitness metrics, food preferences, and health objectives. Mobile apps and wearables enable continuous tracking and real-time feedback. Accessibility and ease of use support broad consumer penetration.
The employers & enterprises segment is likely to witness the fastest CAGR over the forecast period from 2026 to 2033. The employers and enterprises segment is gaining traction as organizations integrate AI-driven personalized nutrition into corporate wellness and population health programs. These platforms analyze aggregated employee health data and deliver customized dietary guidance that supports productivity, disease prevention, and workforce wellbeing. Integration with health risk assessments and wearable data enables scalable, data-driven interventions. Employers use these tools to reduce healthcare costs and absenteeism.
AI In Personalized Nutrition Market Report Scope
|
Report Attribute |
Details |
|
Market size value in 2026 |
USD 1.89 billion |
|
Revenue forecast in 2033 |
USD 10.21 billion |
|
Growth rate |
CAGR of 27.21% from 2026 to 2033 |
|
Actual data |
2021 – 2025 |
|
Forecast period |
2026 – 2033 |
|
Quantitative units |
Revenue in USD million/billion and CAGR from 2026 to 2033 |
|
Report coverage |
Revenue forecast, company ranking, competitive landscape, growth factors, and trends |
|
Segments covered |
Type, application, end use, region |
|
Regional scope |
North America; Europe; Asia Pacific; Latin America; MEA |
|
Country scope |
U.S.; Canada; Mexico; Germany; UK; France; Italy; Spain; Denmark; Sweden; Norway; China; Japan; India; South Korea; Australia; Thailand; Brazil; Argentina; South Africa; Saudi Arabia; UAE; Kuwait |
|
Key companies profiled |
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. |
|
Customization scope |
Free report customization (equivalent up to 8 analysts working days) with purchase. Addition or alteration to country, regional & segment scope. |
|
Pricing and purchase options |
Avail customized purchase options to meet your exact research needs. Explore purchase options |