AI in Personalized Nutrition Market Size, Share, and Forecast Analysis

The global AI in personalized nutrition market size reached at USD 4.89 billion in 2025 and is anticipated to increase from USD 5.77 billion in 2026 to an estimated USD 25.38 billion by 2035, witnessing a CAGR of 17.9% during the forecast period from 2026 to 2035. Market is driven by increasing consumer demand for tailored health solutions and rising chronic diseases.

Key Highlights

• By region, North America dominated the global market with the largest share of approximately 40% in 2025.
• By region, Asia Pacific is expected to grow at a notable CAGR of approximately 30% from 2026 to 2035.
• By AI technology, machine learning / deep learning segment held the major market share of approximately 45% in 2025.
• By AI technology, computer vision segment is projected to grow at a CAGR of approximately 28% in between 2026 to 2035.
• By application, personalized meal planning & recommendations segment the biggest market share of approximately 50% in 2025.
• By application, microbiome & genomics-based nutrition segment is expanding at a significant CAGR of approximately 20% in between 2026 to 2035.
• By delivery model, mobile apps & cloud-based platforms segment dominated the market by holding the share of approximately 60% in 2025. 
• By delivery model, wearable device integration segment is expected to grow at a significant CAGR of approximately 22% over the projected period.
• By nutrition type, personalized diet plans segment held the major market share of approximately 40% in 2025.
• By nutrition type, functional foods & supplements segment is expected to grow at a CAGR of approximately 25% in between 2026 to 2035.

AI in Personalized Nutrition Industry Coverage

What is AI in Personalized Nutrition Market?

AI in personalized nutrition involves using artificial intelligence, machine learning, and big data analytics to provide tailored dietary recommendations, meal planning, and supplement guidance based on an individual’s genetics, microbiome, lifestyle, health status, and preferences. These solutions integrate data from wearable devices, mobile apps, clinical records, and nutritional assessments to optimize health outcomes, prevent lifestyle-related diseases, and improve wellness. The market is driven by increasing consumer awareness of health and wellness, rising demand for personalized healthcare, advancements in AI-powered nutrition platforms, and the growing adoption of digital health technologies. 

AI in Personalized Nutrition Market Outlook

• Industry Growth Overview: The AI-driven personalized nutrition market is witnessing considerable expansion in the health and wellness field, particularly in domains such as digital health platforms, nutrigenomics, and the food sector. AI is applied in food science to enhance quality control, safety, and manufacturing processes, guaranteeing the provision of tailored products. 
• Sustainability Trends: AI is set to promote sustainability by improving resource efficiency, bolstering food security via predictive analysis of harvest outputs, and fostering innovation in customized nutrition and supply chain automation, ensuring personalized products and effective distribution. This is accomplished with AI-driven predictive analytics, customized meal planning that minimizes waste, and enhanced manufacturing methods such as quality assurance and predictive upkeep. 
• Startup Ecosystem: The personalized nutrition sector is expanding rapidly, as startups leverage AI, health information, and dietary preferences to develop tailored meal plans. Utilizing technological progress, genomics, and data science, organizations are uncovering personal nutritional needs and customizing dietary advice to suit individual preferences and traits. For example, BetterMeal AI seeks to comprehend the biological relationships between food and the human gut. Their AI technology detects foods that target molecular interactions for your gut and address conditions like thyroid disorders, Type 2 Diabetes, and more. 

Technological Shifts in AI in Personalized Nutrition Market 

New technological developments in AI within the personalized nutrition sector are transforming the field by combining and assessing varied, real-time information to provide adaptable dietary recommendations. Emerging technologies advance from broad recommendations to develop tailored and adaptable nutritional approaches for health management and disease prevention. Wearable gadgets and IoT sensors deliver the ongoing flow of information required for AI-powered feedback systems. Conversational AI, such as large language models (LLMs), can function as virtual nutritionists, providing tailored suggestions and round-the-clock assistance via text or voice. 

Government Initiatives for AI in Personalized Nutrition

• WiseFood Project: In January 2025, this project, supported by the Horizon Europe program, employs data and AI to assist individuals in making healthier and more environmentally friendly food selections. The project will create AI-driven applications that provide customized meal plans. 
• The USDA is investigating ways AI can enhance the food system in the United States. This entails utilizing AI to more effectively record dietary consumption, assess the nutrient composition of food, and forecast health results. 
• NITI Aayog: The think tank of the Indian government has endorsed research and development in AI for vital sectors such as health and agriculture, with pilot projects examining proofs-of-concept for AI in nutrition. 
• Global Initiative on AI for Health (GI-AI4H): Initiated by the World Health Organization (WHO), the International Telecommunication Union (ITU), and the World Intellectual Property Organization (WIPO), GI-AI4H seeks to create international standards and encourage cooperation for the use of AI in healthcare.

AI in Personalized Nutrition Market Regional Insights

North America Dominated the AI in Personalized Nutrition Market in 2025

influenced by heightened health consciousness, escalating occurrence of lifestyle-associated chronic illnesses, greater acceptance of digital health solutions, and broader AI incorporation for tailored suggestions. Among these factors, the increasing prevalence of obesity and metabolic disorders is a significant motivator, leading consumers and healthcare professionals to pursue personalized nutrition solutions. Substantial funding and research efforts, especially in the United States, bolster the advancement of AI-driven platforms and tailored nutrition products. Progress in AI, encompassing machine learning and deep learning, enables the development of advanced applications that examine personal data elements such as genetics, lifestyle, and medical history to customize suggestions. Both B2B and B2C platforms are growing, with North America, especially the US, leading the personalized nutrition platform market.

North America AI in Personalized Nutrition Market Size 2025 to 2035

The North America AI in personalized nutrition market size was calculated at USD 1.96 billion in 2025 with projections indicating a rise from USD 2.31 billion in 2026 to approximately USD 10.28 billion by 2035, expanding at a CAGR of 18.02% throughout the forecast period from 2026 to 2035.

U.S. AI in Personalized Nutrition Market Trends

The U.S. AI personalized nutrition sector in the U.S. is fueled by rising health consciousness, technological progress, and consumer interest in tailored solutions. Elements like the increase in preventive healthcare, management of chronic diseases, and the cost-effectiveness of genetic testing significantly contribute to market expansion. Moreover, creative products, progress in nutrigenomics and microbiome studies, regulatory backing, and trends favoring natural, organic, and sustainable goods continue to drive the market, fueled by heightened health awareness, the increase of lifestyle-related diseases, and an expanding middle class with greater disposable income.

How Big is the U.S. AI in Personalized Nutrition Market?

The U.S. AI In personalized nutrition market size estimated at USD 1.47 billion in 2025 and is predicted to increase from USD 1.73 billion in 2026 to nearly reaching USD 7.76 billion by 2035, growing at a CAGR of 18.10% during the forecast period from 2026 to 2035.

Asia Pacific expects the significant growth during the forecast period. The increasing prevalence of chronic conditions like diabetes and heart disease is fueling the need for personalized nutrition in the Asia Pacific area. The growing elderly populations in nations such as Japan and South Korea are progressively emerging as a major factor in the personalized nutrition market. With an increasing number of people reaching their later years, there is a rising need for personalized dietary options that tackle health issues linked to aging, such as osteoporosis and cognitive deterioration. This expansion is mainly fueled by the heightened health awareness among consumers, the surge in online shopping, and the incorporation of AI technologies that improve customer experience and tailor product offerings. 

India AI in Personalized Nutrition Market Trends

The increasing prevalence of diet-related health problems and non-communicable diseases (NCDs) like diabetes, obesity, and heart disease necessitates dietary approaches that genuinely align with cultural practices driving the demand for the AI in personalized nutrition. For instance, Smart Diet India is a dietary platform powered by machine learning, tailored specifically for Indian cuisine. In contrast to global diet applications that frequently fall short, this platform combines contemporary nutritional science with classic Indian cuisine and Ayurvedic knowledge.

Europe expects the notable growth in the market due to the rising health awareness, an aging demographic, and a significant focus on preventive healthcare. Progress in nutritional science and genetic testing is facilitating customized supplement options. Nations such as Germany and France play significant roles because of their substantial disposable incomes and the embrace of cutting-edge health products. Europe's demand is enhanced by a significant focus on health tech research and development, leading tech firms, and a cultural transition toward personal well-being. 

Germany AI in Personalized Nutrition Market Trends

The market is experiencing swift expansion fueled by rising consumer interest in customized nutrition options, including personalized supplements. German consumers are emphasizing a proactive stance on health and wellness, with 60% making efforts to improve their health in the previous year. A primary driver for this change is the wish to feel good, which includes both mental and physical well-being. For example, Lykon firm provides AI-based customized nutrition derived from home blood and DNA testing. Clients gather blood or saliva samples, dispatch them to a laboratory, and obtain verified dietary suggestions through a personalized profile.

AI in Personalized Nutrition Segmental Insights

AI Technology Insights

AI in Personalized Nutrition Market Share, By AI Technology, 2025 (%)

• Machine Learning/Deep Learning: Dominated with 45%, as machine learning and deep learning are the leading AI technologies, used for analyzing large datasets, personalizing nutrition, and making accurate health predictions.
• Natural Language Processing (NLP): Holds 15%, with NLP used for interpreting and processing text-based data, such as dietary preferences and health history, to offer personalized recommendations.
• Predictive Analytics & Big Data: Holds 12%, with predictive analytics and big data enabling future health predictions based on consumer behavior, genetics, and lifestyle factors.
• Computer Vision (Food Recognition/Portion Analysis): Fast-growing with 8%, driven by increasing use of computer vision for food recognition and portion analysis to track meal intake.
• Robotics & Automation in Meal Preparation: Holds 20%, with robotics and automation being integrated into kitchens for meal preparation, improving efficiency, and consistency in cooking.

Which AI Technology Dominated the AI in Personalized Nutrition Market in 2025?

Machine learning / deep learning segment led the AI in personalized nutrition market in 2024, as they can effectively leverage structured data such as lab results, feeds from wearable devices, and dietary logs. Ongoing advancements in algorithms will enhance their performance accuracy with growing datasets and better data labeling, facilitating innovative strides in the actionable and tailored recommendations offered by these platforms. Deep learning models can forecast health results and suggesting individualized dietary advice.

Computer Vision Segment is Observed to Grow at the Fastest Rate During the Forecast Period

As it facilitates precise and impartial assessment of food consumption through taking a picture of a meal, proving to be more effective and less subjective than conventional self-reporting techniques. This technology streamlines the monitoring of portion sizes and nutritional values, which is essential for developing efficient, tailored diet plans for weight management, disease prevention, and various health objectives. Other AI approaches do not have this immediate, real-time visual data gathering from a user's plate. 

Application Insights

Which Application Segment Dominated the AI in Personalized Nutrition Market?

Personalized meal planning & recommendations segment held the dominating share of the market in 2024, diets such as keto, vegan, and gluten-free. Recent studies suggest that individuals' desire to remain healthy and fit has significantly increased, and today, many are looking to preserve their physical fitness by integrating nutritious eating habits into their routines amid busy city life. Consequently, nutrition apps are proliferating in the fitness industry to help individuals enhance their food consumption, monitor weight-related factors, and create meal schedules. AI tackles this by examining personal health information, dietary preferences, and objectives to develop tailored meal plans, monitor nutrient consumption, recommend recipes, and offer instant feedback, resulting in enhanced health results. 

Microbiome & Genomics-Based Nutrition Segment is Seen to Grow at a Notable Rate During the Predicted Timeframe

As it offers the most accurate and data-driven basis for customization. The gut microbiome, an intricate system of trillions of microorganisms, is crucial for digestion, nutrient uptake, immune control, mood regulation, metabolism, and disease avoidance. Every individual's microbiome varies and affects their reactions to foods. AI and machine learning allow for the analysis of extensive biological data from microbiome sequencing, enabling the generation of tailored, adaptive dietary recommendations. A variety of research and business achievements have shown the practical efficacy of AI-powered, microbiome-focused nutrition, reinforcing its market leadership. 

Delivery Model Insights

 AI in Personalized Nutrition Market Share, By Delivery Model, 2025 (%)

• Mobile Apps & Cloud-Based Platforms: Dominated with 60%, as mobile apps and cloud-based platforms are the most widely used methods for delivering personalized nutrition advice, offering convenience and scalability.
• Wearable Device Integration: Fast-growing with 10%, driven by the increasing adoption of wearable devices that track health metrics and integrate with nutrition platforms for real-time personalized recommendations.
• Online Nutritional Consulting/Telehealth Platforms: Holds 17%, as more consumers seek professional advice through online consulting and telehealth platforms, combining convenience with expert support.
• Hybrid Models (App + Professional Dietitian Support): Holds 13%, with hybrid models offering a mix of technology-driven meal planning and professional dietitian support for more personalized, expert-driven services.

Which Delivery Model Dominated the AI in Personalized Nutrition Market in 2025?

Mobile Apps & Cloud-Based Platforms segment dominated the market with the largest share in 2024. due to the widespread use of smartphones, the convenience and accessibility they offer, and the seamless integration with wearable devices and other health apps. Apps can easily integrate with popular wearable devices, enabling a more complete, connected, and data-rich experience for users. Cloud platforms provide the massive computing power and data storage needed for AI models to process vast amounts of user data, including genetic, biometric, and lifestyle information. Cloud-based AI can process data in real time to provide instant, customized recommendations and adapt plans as a user's needs change.  

Wearable Device Integration Segment is Expected to Grow at the Fastest Rate in the Market During the Forecast Period

Due to its provision of ongoing, real-time information required for developing adaptable, highly personalized, and responsive dietary suggestions. AI systems examine the extensive data gathered by wearables to develop more accurate and precise dietary suggestions. As health and fitness awareness grows, many consumers have embraced wearable technology. This has made the use of these devices for self-tracking commonplace, establishing a substantial, accessible, and eager user community for AI-driven individualized nutrition services.

Nutrition Type Insights

 AI in Personalized Nutrition Market Share, By Nutrition Type, 2025 (%)

• Macronutrient Optimization (Carbs, Protein, Fat): Holds 15%, with a focus on balancing macronutrients to optimize energy levels and support specific dietary needs.
• Micronutrient/Vitamin & Mineral Optimization: Holds 10%, as micronutrient optimization is a key aspect of personalized nutrition, particularly for addressing deficiencies and boosting overall health.
• Functional Foods & Supplements: Fast-growing with 20%, driven by the increasing interest in functional foods and supplements that offer additional health benefits beyond basic nutrition.
• Personalized Diet Plans (Keto, Mediterranean, Vegan, etc.): Dominated with 40%, as personalized diet plans, including popular options like Keto, Mediterranean, and Vegan diets, continue to lead the market for tailored nutrition solutions.

Why did the Personalized Diet Plans Segment Dominated the AI in Personalized Nutrition Market in 2025?

Personalized diet plans segment held the largest share of the market in 2024, due to its alignment with increasing consumer demand for customized wellness, enhanced AI technology for accurate meal planning, and the seamless user experience it offers. The increasing occurrence of chronic diseases related to lifestyle, including obesity, diabetes, heart disease, and hypertension, is fueling the expansion of the personalized nutrition platform sector. For example, the World Obesity Federation states that around 3 billion individuals globally are dealing with overweight or obesity. Customized meal plans can connect with various technologies, including wearable gadgets, to offer ongoing tracking and immediate feedback. AI develops personalized meal plans that are regarded as more efficient than generic approaches and are essential to contemporary health and fitness practices.

Functional Foods & Supplements Segment is Observed to Grow at the Fastest Rate During the Forecast Period

Due to the fact that these products provide a practical and efficient method to offer tailored health advantages that match consumer preferences for convenience, focused wellness, and comprehensive health. AI can evaluate personal information (such as genetics, habits, or health objectives) to suggest particular supplements or enriched foods, increasing the perceived worth and effectiveness of the items. Heightened consumer emphasis on preventative health, comprehensive wellness, and reducing chronic illnesses drives the need for tailored options such as functional food and supplements, which AI enhances in precision.

Recent Developments in the AI in Personalized Nutrition Market

Nutrition 360 Suite

• Launch: In May 2025, the Nutrition 360 Suite provided as a SaaS solution for partners, integrating database APIs, the recently introduced Fitterfly talk, Meal scoring, Meal insights, and AI diet planning. Fitterfly, a Healthtech startup focusing on digital therapeutics for metabolic issues, has recently introduced the Nutrition 360 Suite, touted as India’s most sophisticated nutrition tracking solution. (Source: Digital Health News)

Welldoc®

• Launch: In June 2025, Welldoc®, a frontrunner in AI-driven digital health innovation, announced it will support the newly launched Lilly Health™ Personalized Health & Medicine Platform* with its cardiometabolic digital health platform. The Lilly Health app aims to enhance a customized patient experience for those interested in or utilizing Eli Lilly and Company’s incretin-based treatments. (Source: businesswire)

Fay

• Investment: In February 2025, Fay, a digital nutrition therapy startup, has disclosed a $50 million Series B funding round, expanding its goal to transform how individuals perceive and relate to food. With a growing network of more than 2,300 Registered Dietitians (RDs) delivering AI-supported care, Fay has established itself as the largest and quickest expanding provider of tailored nutrition counseling in the U.S. (Source: Causeartist)

Top Companies List in AI In Personalized Nutrition Market 

• Nutrino Health: Nutrino Health, an AI-driven personalized nutrition company, which was acquired by the medical technology leader Medtronic in 2018. Its technology and services were incorporated into Medtronic's diabetes management systems to assist patients in improving their nutrition and glucose control. 
• DayTwo: DayTwo is recognized as a frontrunner in AI-powered personalized nutrition, especially in the area of utilizing gut microbiome assessment to control metabolic disorders. The AI-powered application is enhanced with virtual support from certified diabetes educators and registered dietitians offering personalized coaching and advice. 
• Viome: Viome is regarded as a leading authority in AI-driven personalized nutrition because of its sophisticated metatranscriptomics technology and its utilization of an extensive biological database. The company's method extends past examining static DNA to assess the dynamic, real-time functions of an individual’s microbiome and cellular activity. 
• Nutrigenomix: Nutrigenomix, a Canadian firm derived from the University of Toronto, is a recognized leader and innovator in the domain of nutrigenomics. It aims to offer DNA-driven nutrition advice through healthcare providers, as AI leaders incorporate a wider range of data for immediate, adaptive recommendations. 

Other Key Plyers in the Market

• Habit (Nestlé Health Science) 
• Lumen
• InsideTracker
• FoodMarble
• Baze Technologies
• Tespo
• Wellory
• PlateJoy
• Nuzest AI Labs 
• LifeNome 
• DietSensor 

Segment Covered in the Report

By AI Technology

• Machine Learning / Deep Learning 
• Natural Language Processing (NLP) 
• Predictive Analytics & Big Data 
• Computer Vision (Food Recognition / Portion Analysis) 
• Robotics & Automation in Meal Preparation

By Application

• Personalized Meal Planning & Recommendations 
• Nutrient Intake Tracking & Optimization 
• Diet-Based Disease Risk Prediction 
• Microbiome & Genomics-Based Nutrition 
• Weight Management & Lifestyle Coaching

By Delivery Model

• Mobile Apps & Cloud-Based Platforms 
• Wearable Device Integration 
• Online Nutritional Consulting / Telehealth Platforms 
• Hybrid Models (App + Professional Dietitian Support)

By Nutrition Type

• Macronutrient Optimization (Carbs, Protein, Fat) 
• Micronutrient / Vitamin & Mineral Optimization 
• Functional Foods & Supplements 
• Personalized Diet Plans (Keto, Mediterranean, Vegan, etc.)

By Region

• North America
• Europe
• Asia Pacific
• Middle East and Africa (MEA)
• Latin America