The global AI in personalized nutrition market is entering a high-growth phase as consumers, healthcare providers, and enterprises increasingly adopt data-driven approaches to dietary management. The market was valued at USD 1.5 billion in 2025 and is expected to reach USD 1.9 billion in 2026, before expanding to USD 10.2 billion by 2033. This represents a 27.2% CAGR from 2026 to 2033.

North America led the market in 2025, accounting for 52.0% of global revenue, supported by strong digital health adoption, advanced healthcare infrastructure, and growing consumer interest in personalized wellness. Meanwhile, Asia Pacific is expected to record the fastest growth through 2033.

What Is Driving the Market?

The growing burden of lifestyle-related and chronic diseases is creating demand for nutrition solutions that go beyond standardized dietary guidelines. Obesity, diabetes, cardiovascular diseases, and metabolic disorders are strongly associated with dietary patterns and sedentary lifestyles, encouraging consumers and healthcare organizations to explore more individualized interventions.

The diabetes burden further highlights this opportunity. According to the International Diabetes Federation (IDF), approximately 589 million people currently live with diabetes, and this number is projected to reach 853 million by 2050. As chronic disease management increasingly incorporates nutrition, AI-powered platforms can help identify dietary risks and deliver recommendations tailored to individual health profiles.

Traditional nutrition guidance often relies on population-level recommendations and may not fully account for differences in metabolism, genetics, biomarkers, microbiome composition, lifestyle, and health status. AI-powered platforms address this gap by processing diverse datasets, including biometric measurements, clinical information, dietary patterns, and lifestyle behaviors.

Technology Is Turning Nutrition Into a Continuous, Data-Driven Process

The market is evolving from static meal recommendations toward continuously personalized nutrition management.

• Wearables and biosensors: Fitness trackers, smart devices, and continuous glucose monitors (CGMs) generate real-time physiological data that can be analyzed by AI systems.
• Microbiome and omics integration: AI models increasingly combine gut microbiome information, genetic profiles, and other biological datasets to identify individualized dietary strategies.
• AI nutrition applications: Digital platforms can generate meal plans, recipes, shopping lists, nutrient assessments, and food recommendations based on user-specific information.
• Digital health ecosystems: Integration with healthcare platforms, connected devices, and enterprise wellness programs is broadening the reach of personalized nutrition technologies.

The fundamental shift is from one-size-fits-all nutrition guidance to individualized dietary planning based on personal biological and behavioral data.

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Key Market Trends by Segment

AI nutrition apps represented the largest type segment in 2025, with a 48.0% market share. Their accessibility and ability to provide personalized recommendations through smartphones and connected platforms are supporting adoption.

By application, AI-based meal planning and recommendations led the market with a 41.0% share in 2025. These solutions can translate individual dietary goals and health information into practical meal suggestions, recipes, and nutritional guidance.

By end use, individuals and consumers accounted for the largest share at 46.0% in 2025, reflecting growing interest in preventive health, wellness, weight management, and personalized dietary optimization.

Competitive Landscape: Innovation Remains Central

The AI in personalized nutrition market remains fragmented, with established businesses, health-tech companies, AI developers, and emerging platforms competing through differentiated personalization capabilities. Innovation intensity is high, while merger and acquisition activity and regulatory influence remain moderate. Regional expansion is also significant as digital health adoption spreads across developed and emerging markets.

Companies are increasingly developing nutrition platforms that combine nutrient-specific meals, personalized recipes, shopping lists, food scanning, dining-out recommendations, biomarkers, and genetic information.

A notable example is Ahara, which introduced a free Basic plan in October 2023 centered on AI-driven personalized nutrition using a health questionnaire. The platform provides nutrient reports and food or supplement recommendations and focuses on areas such as heart, brain, and metabolic health. Its premium offering adds DNA and biomarker testing capabilities.

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Key Companies

Major companies and organizations identified in the AI in personalized nutrition landscape include:

• Appinventiv
• BetterMeal AI
• BiteAI
• Culina Health
• DayTwo
• EatLove
• EIT Food
• Habit
• InsideTracker
• January AI
• LemonBox
• Viome Life Sciences
• ZOE Limited
• MyFitnessPal
• Healthify

Explore the full list of profiled companies operating in this market with recent strategic initiatives

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