The global AI in personalized nutrition market size was estimated at USD 1.58 billion in 2025 and is predicted to increase from USD 2.01 billion in 2026 to approximately USD 17.59 billion by 2035, expanding at a CAGR of 27.25% from 2026 to 2035.
The AI in personalized nutrition market is growing, as AI-based technology supports in giving people with particular nutrient needs, like athletes and soldiers, and improves food taste and catering in specific food production systems.
The AI in personalized nutrition market is growing because the potential of AI in nutrition likewise includes usefulness, as apps are used as a motivational visual device for users to understand and track. The applications of AI-based technology in nutrition assessment enable rapid assessment of patients, which supports increased effectiveness in offering treatment since they are allowed to seek nutritional advice from dietitians earlier than normal. By involving AI-based technology in nutrigenomics, prediction models are generated to support dietitians and researchers in making more informed decisions when designing nutrition interventions for patients.
Personalized nutrition is an approach that provides dietary recommendations tailored to an individual’s genetic profile, lifestyle, health status, microbiome, and metabolic characteristics to improve overall health and disease prevention. The AI in personalized nutrition market is growing due to increasing consumer demand for customized wellness solutions, rising awareness of preventive healthcare, and the widespread adoption of digital health technologies. Advances in artificial intelligence, machine learning, wearable devices, and health monitoring applications enables continuous analysis of dietary habits and real-time nutrition recommendations. Growing integration of AI with genomics testing, microbiome analysis, and biomarker-based assessment is further improving the accuracy of personalized nutrition plans. In addition, expanding investments in digital healthcare, increasing prevalence of chronic diseases, and the shift towards data-driven nutrition management continue to accelerate market growth globally.
| Table | Scope |
| Market Size in 2026 | USD 2.01 Billion |
| Projected Market Size in 2035 | USD 17.59 Billion |
| CAGR (2026 - 2035) | 27.25% |
| Leading Region | North America by 43% |
| Key Applications | AI nutrition coaching, metabolic health optimization, personalized meal recommendations, microbiome-based nutrition, nutrigenomics, weight management, diabetes prevention, food recommendation engines, wellness platforms |
| Primary End Users | Consumers, healthcare providers, wellness companies, employers, insurers, nutritionists, dietitians, fitness platforms, pharmaceutical companies |
| Key Challenges | Limited clinical validation for some AI nutrition models, data privacy concerns, regulatory uncertainty, fragmented nutrition datasets, difficulty integrating biological complexity |
| Measurable Values | USD Millions/Units/Volume |
| Market Segmentation | By Type, By Application, By End-User, By Region |
| Top Key Players | Appinventiv, BetterMeal Al, BiteAI, Culina Health, DayTwo, EatLove |
| Segments | Shares % |
| AI Nutrition Apps | 42% |
| Test-based Personalization | 24% |
| Device-linked Metabolic Platforms | 18% |
| Enterprise/Clinical Platforms | 16% |
Which Type Led the AI in Personalized Nutrition Market in 2025?
In 2025, the AI nutrition apps segment held the dominant share of the market by 42% share in 2025, as AI-based technology improves healthcare by offering nutritional advice, and the rapidity of the results might advantage users. Different applications in this area are expected to be developed. Diet and nutrition apps comprise personalized recommendations, precise nutritional analysis, real-time response, enhanced user engagement, and improved user experience. Major apps analyze user data like dietary preferences, health goals, and nutritional requirements.
Enterprise/Clinical Platforms
Whereas the enterprise/clinical platforms segment is the fastest-growing in the market, as AI has proven effective in generating adaptive nutrition plans, enhancing self-management, and supporting decision-making in clinical and community settings. AI-driven systems are increasingly used to monitor physiological data and personalize care. Tools like AI-based telemedicine platforms and electrochemical breathomics sensors allow continuous monitoring of patient metrics.
| Segments | Shares % |
| AI-Based Meal Planning & Recommendations | 34% |
| Health & Metabolic Monitoring | 24% |
| Nutrient & Micronutrient Analysis | 18% |
| Personalized Supplement Recommendations | 12% |
| Allergen & Food Sensitivity Identification | 7% |
| Others | 5% |
Which Application Dominated the Market in 2025?
The AI-based meal planning & recommendations segment was dominant in the AI in personalized nutrition market by 34% share in 2025, as AI-based meal planners incorporate nutrition science with machine learning. They accumulate personal data like weight, age, health conditions, preferences, and integrate it with an inclusive knowledge base of foods and dietary strategies. AI-based diets are smarter and seamless. AI-based systems enhance the precision of food recommendations, determining what end users should eat to get food suggestions.
Personalized Supplement Recommendations
Whereas the personalized supplement recommendations segment is the fastest-growing in the market, AI-based dietary recommendation systems yield enhanced healthcare results, specifically in glycemic control, gastrointestinal symptom relief, and metabolic challenges reduction. AI-based processes applied advanced analytics to look at various types of data, such as genetics, metabolic profiles, and lifestyle data, to make nutritional interventions more efficient and enhance adherence and health results.
| Segments | Shares % |
| Individuals/Consumers | 58% |
| Fitness & Wellness Organizations | 16% |
| Healthcare Providers | 14% |
| Employers & Enterprises | 8% |
| Others | 4% |
Why did the Individuals/Consumers Segment Dominate the Market in 2025?
The individuals/consumers segment is dominant in the AI in personalized nutrition market by 58% share in 2025, as AI-based technology supports in managing patients with particular nutrient requirements, like athletes and soldiers, and enhances food taste and catering in the specific food production technology. AI-based technology involves significant enhancements to improve the food manufacturing process. The uses of AI-based processes in nutrition are far-reaching, allowing personalized diet plans, improved clinical nutrition, and the advancement of targeted nutraceuticals.
Employers & Enterprises
Whereas the employers & enterprises segment is the fastest-growing in the market, as AI-based technology is significantly enhancing the food manufacturing process. Tools like artificial neural networks and fuzzy logic models are applied to improve drying technologies, allowing manufacturers to improved preserve nutritional content while processing. AI-driven technology helps the manufacturing of customized food formulations to meet precise dietary requirements, contributing to the wider goal of precision nutrition.
In 2025, North America dominated the AI in personalized nutrition market by 43%, as increasing adoption of wearable health devices has transformed rehabilitation by allowing real-time monitoring of physiological parameters, developing early disease detection, and promoting proactive medical care management. Rising cases of chronic diseases like high blood pressure and high cholesterol evolve as the conditions impacting many people, driving the crucial requirement for and adoption of precise, AI-based nutritional solutions.
For Instance,
U.S. Market Trends
In the U.S., using wearable healthcare tools might improve the treatment of chronic illnesses by monitoring significant challenging factors, involving blood pressure, glucose, and various parameters. The increasing prevalence of diabetes, obesity, and CVD in the U.S. has accelerated the need for and acceptance of personalized, AI-driven nutrition.
Canada Embraces AI-Powered Personalized Nutrition
The Canada AI in powered nutrition market is growing due to increasing demand for personalized wellness solutions, rising adoption of AI-powered health applications, and growing awareness of preventive healthcare. The integration of wearable devices, genomics, and digital health platforms enabled accurate nutrition recommendations. In addition, government support for AI innovation, expanding precision health research, and collaborations between healthcare and technology companies are accelerating market growth across Canada.
Asia Pacific is expected to see rapid growth in the AI in personalized nutrition market, driven by the fact that countries in the APAC region have taken rapid actions to control the challenges of CVDs, which drives the demand for AI in personalized nutrition. Around 80% people already use at least one health app or device, such as a smart watch or ring, as compared with 70% worldwide. These tools offer real-time biometric data significant for AI to generate precise, personalized nutritional information.
India Market Trends
The Indian traditional diet is more plant-based due to staple items such as lentils, chickpeas, beans, and a wide variety of vegetables. AI-based technology involves significantly to improving the food manufacturing technology. These advanced systems analyze specific health data, dietary preferences, and lifestyle factors to generate tailor-made meal plans with the goal of enhancing health results.
China Shapes the Future of Personalized Nutrition
The China AI in personalized nutrition market is expanding due to rapid digital health adoption, increasing health-conscious consumers, and strong government support for artificial intelligence innovation. Growing use of AI-powered mobile health applications, wearable devices, and precision nutrition platforms is improving personalized dietary recommendations. Additionally, rising investments in biotechnology, genomics, and smart healthcare infrastructure, along with the increasing prevalence of lifestyle-related diseases, are driving sustained market growth across China.
Europe is significantly growing in the AI in personalized nutrition market, as the European Health Data Space (EHDS) is a keystone of the European Health Union and the first common EU data space devoted to a precise sector as part of the European strategy for information. The region has a robust, mature ecosystem in microbiome and nutrigenomics research, allowing the development of AI models that analyze challenging biological data to offer precise dietary recommendations, which contributes to the growth of the market.
| Company | Headquarters | Latest Update |
| Appinventiv | India | Appinventiv focused on harnessing the power of AI, IoMT, and data analytics to build platforms that provide personalized treatment. |
| BetterMeal Al | United States | BetterMeal AI is developing an Artificial Intelligence Nutritionist, with the precise goal to support individuals who have complex health challenges. |
| BiteAI | Dubai | Bit AI is a significant technology provider in this space, providing an API-driven computer vision platform that enables other health uses. |
| Culina Health | United States | Culina Health expands its offerings to help dietitians and patients implement novel AI-based platforms to enhance care effectiveness, and improves its leadership with significant hires. |
| DayTwo | United States | DayTwo provides a targeted nutrition strategy for controlling blood glucose levels. |
| EatLove | United States | EatLove processed over 200 million targeted meal recommendations, enhancing user adherence by 42%. |
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Principal Consultant
Shivani Zoting is a dedicated research analyst specializing in the healthcare industry. With a strong academic foundation, a B.Sc. in Biotechnology and an MBA in Pharmabiotechnology, she brings a unique blend of scientific understanding and strategy.
Learn more about Shivani Zoting
Reviewed By
Aditi Shivarkar is a seasoned professional with over 14 years of experience in healthcare market research. As a content reviewer, Aditi ensures the quality and accuracy of all market insights and data presented by the research team.
Learn more about Aditi Shivarkar
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