AI in Personalized Nutrition Market Primary Research and Survey Details

Revenue, 2025

USD 1.58 Billion

Forecast, 2035

USD 17.59 Billion

CAGR, 2026-2035

27.25%

Report Coverage

Global

AI in Personalized Nutrition Market Trends for 2026

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.

Key Takeaways

• AI in personalized nutrition sector pushed the market to USD 2.01 billion by 2026.
• Long-term projections show USD 17.59 billion valuation by 2035.
• Growth is expected at a steady CAGR of 27.25% in between 2026 to 2035.
• North America dominated the AI in personalized nutrition market.
• Asia Pacific is expected to grow at the fastest CAGR in the market during the forecast period.
• By type, the AI nutrition apps segment dominated.
• By type, the enterprise/clinical platforms segment is expected to grow at the fastest CAGR in the market during the forecast period.
• By application, the AI-based meal planning & recommendations segment dominated in 2025.
• By application, the personalized supplement recommendations segment is expected to grow at the fastest CAGR in the market during the forecast period.
• By end user, the individuals/consumers segment dominated the market in 2025.
• By end user, the employers & enterprises segment is expected to grow at the fastest CAGR in the market during the forecast period.

Market Overview: What is AI in Personalized Nutrition?

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.

Future Outlook & Trends in the AI in Personalized Nutrition Market

• Real-Time Metabolic Monitoring: Continuous glucose monitors offer both retrospective and real-time information to detect hypoglycemic and hyperglycemic excursions; expect impending hypoglycemia, and perceive wide fluctuations in glucose levels.
•  3D Food Printing: 3D food printing is transforming dining with adapted nutrition, sustainable innovation, and AI-based culinary creativity. Three-dimensional (3D) food printing technology is quickly emerging and provides endless innovation opportunities for the food business
• Advancement in Technology: AI-based technologies are being employed to improve dietary assessment, personalize nutrition plans, manage chronic diseases, provide virtual coaching, and help public health nutrition.

Key Indicators and Highlights

Segmentation Analysis

By Type Insights

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 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.

By Application Insights

Which Application Dominated the Market in 2025?

The AI-based meal planning & recommendations segment was dominant in the AI in personalized nutrition market 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.

By End-User Insights

Why did the Individuals/Consumers Segment Dominate the Market in 2025?

The individuals/consumers segment is dominant in the AI in personalized nutrition market 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.

Regional Insights

How did North America dominate the Market in 2025?

In 2025, North America dominated the AI in personalized nutrition market, 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,

• In October 2025, Omada Health introduced Meal Map, an AI-based nutrient-categorization tool intended to improve meal tracking and member engagement in its cardiometabolic programs. This tool offers real-time, targeted nutrition guidance that supports users in assessing the nutrient quality of their food choices, encouraging a healthier relationship with food by focusing on nutrient density.

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.

Asia Pacific: Increasing Spending in Healthcare

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.

Europe: Increasing AI-driven Government Initiatives

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.

Latest Updates of Key Players in the AI in Personalized Nutrition Market

SWOT Analysis

Strengths

• AI-based technology allows more precise and targeted dietary recommendations based on an individual's specific nutritional requirements.
• The applications of AI-based technology in nutrition assessment allow rapid assessment of patients, which supports increased effectiveness in offering treatment since they seek nutritional advice from dietitians earlier than normal.

Weakness

• Major challenges like data access, data interoperability, model reliability, ethical considerations, generalization, and interpretability remain challenges limiting the extensive use of AI in personalized nutrition.

Opportunities

• Recent developments in DL, especially convolutional neural networks (CNNs), have significantly improved the accuracy and effectiveness of dietary assessment devices.
• AI technologies are being employed to enhance dietary assessment, personalize nutrition plans, manage chronic diseases, deliver virtual coaching, and support public health nutrition.

Threat

• Managing sensitive personal health data, involving genetic and microbiome data, needs strict compliance with regulations such as GDPR.

Recent Developments in AI in Personalized Nutrition Market

• In August 2025, MyNetDiary announced PlateAI, the next-generation app for targeted diet and wellness. Available on iOS and Android, PlateAI integrates instant AI-powered food logging, real-time nutrition coaching, and a complete suite of health devices to help with better habits and sustainable outcomes.
• In July 2025, DexCom, Inc., announced it had released a new AI-powered photo meal logging feature to Stelo, the first over-the-counter glucose biosensor cleared by the FDA in the United States, following the feature’s launch on Dexcom G7 earlier in the year.
• In April 2025, Viome Life Sciences launched its most transformative customer product, redefining how patients understand, track, and improve their health through emerging biological insights.

Segments Covered in the Report

By Type

• AI Nutrition Apps
• Test-based personalization (DNA/Microbiome/Blood)
• Device-linked metabolic platforms
• Enterprise/Clinical platforms

By Application

• AI-Based Meal Planning & Recommendations
• Nutrient & Micronutrient Analysis
• Personalized Supplement Recommendations
• Allergen & Food Sensitivity Identification
• Health & Metabolic Monitoring
• Others

By End-User

• Individuals/Consumers
• Fitness & Wellness Organizations
• Healthcare Providers
• Employers & Enterprises
• Others

By Region

• North America
  • U.S.
  • Canada 
  • Mexico 
  • Rest of North America
• South America
  • Brazil
  • Argentina
  • Rest of South America
• Europe 
  • Western Europe 
    • Germany 
    • Italy
    • France
    • Netherlands
    • Spain
    • Portugal 
    • Belgium
    • Ireland
    • UK 
    • Iceland 
    • Switzerland
    • Poland
    • Rest of Western Europe
  • Eastern Europe 
    • Austria
    • Russia & Belarus 
    • Türkiye
    • Albania 
    • Rest of Eastern Europe 
• Asia Pacific
  • China 
  • Taiwan
  • India 
  • Japan 
  • Australia and New Zealand
  • ASEAN Countries (Singapore, Malaysia)
  • South Korea 
  • Rest of APAC 
• MEA 
  • GCC Countries
    • Saudi Arabia 
    • United Arab Emirates (UAE)
    • Qatar 
    • Kuwait 
    • Oman 
    • Bahrain 
  • South Africa
  • Egypt 
  • Rest of MEA