AI in Nutrigenomics and Personalized Nutrition Market Penetration and Growth Forecast 2026 to 2035

InsightAce Analytic Pvt. Ltd. announces the release of a market assessment report on the "Global AI in Nutrigenomics and Personalized Nutrition Market Size, Share & Trends Analysis Report By Type of Product (Dietary Supplements (Vitamins, Minerals, Probiotics, Prebiotics, Botanicals, Proteins, Carbohydrates, and Fats), Functional Foods, and Nutraceuticals), By Type of Service (Dietary Assessment, Nutrigenomics, Personalized Meal Planning, Lifestyle Assessment, and Health Monitoring), By Type of Technology (Machine Learning, Natural Language Processing, Computer Vision, and Predictive Analytics), by Type of Component (Software, Hardware, and Services), By Application Area (Weight Management, Sports Nutrition, Digestive Health, Cognitive Health, and Immune Health), By Type of Device (Wearables, Smartphones, and Tablets), By Type of Deployment Mode (Cloud-Based, and On-Premises)-Market Outlook And Industry Analysis 2035"

The Global AI in Nutrigenomics and Personalized Nutrition Market Size is valued at US$ 3.55 Bn in 2025 and is predicted to reach US$ 16.19 Bn by the year 2035 at an 16.5% CAGR during the forecast period for 2026 to 2035.

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AI in nutrigenomics and personalized nutrition uses artificial intelligence to analyze genetic, metabolic, and lifestyle data, enabling tailored dietary recommendations that optimize health, prevent disease, and enhance nutrient intake based on individual biological profiles. The AI in nutrigenomics and personalized nutrition market is growing aggressively as a result of deepening penetration of digital healthcare infrastructure. Sophisticated AI algorithms make it possible to perform accurate analysis of gene, metabolic, and lifestyle data, allowing personalized dietary suggestions for consumers.

The extensive use of digital health devices like wearables, mobile health applications, and electronic medical records makes it easier to collect real-time data and seamlessly integrate it into AI platforms. This infrastructure broadens availability, precision, and scalability of individual healthcare nutrition solutions, empowering health professionals and consumers with informative insights. As such, AI-based nutrigenomics applications are becoming more efficient in chronic disease prevention, wellness optimization, and enhanced overall health outcomes, thus fueling strong market growth internationally.

List of Prominent Players in the AI in Nutrigenomics and Personalized Nutrition Market:
• Appinventiv
• BetterMeal AI
• Culina Health
• DayTwo
• EatLove
• LemonBox
• Nutrify
• Nourished
• Nutrino Health
• Nutrigenomix
• Persona Nutrition
• Viome
• Zoe

Market Dynamics:
Drivers-
The AI in nutrigenomics and personalized nutrition market is rapidly expanding as companies leverage machine learning algorithms to analyze individual genetic, metabolic, and lifestyle data for tailored dietary recommendations. AI facilitates the analysis of large-scale genomics data, forecasting nutrient reaction, and personalization of meal plans to optimize health and prevent disease. Increased use of machine learning for personalized nutrition is a major impetus, as real-time dietary advice, pattern identification in advanced biological data, and forecasting individual nutrient requirements are possible.

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Challenges:
The AI in nutrigenomics and personalized nutrition market leverages artificial intelligence to analyze genetic, metabolic, and lifestyle data, enabling highly tailored dietary recommendations and interventions. AI-based platforms can forecast personal reactions to nutrients, personalize meal plans, and enable preventive healthcare approaches. But the market is hugely hindered by data privacy issues. Management of sensitive genomic and health data poses threats of unauthorized use, misuse, or hacks. Compliance with regulations like GDPR complicates things for businesses.

Regional Trends:
In North America, the market for AI in nutrigenomics and personalized nutrition is seeing strong growth due to region's increasing consumer focus on health optimization and chronic disease prevention. Artificial intelligence enables analysis of genetic, metabolic, and lifestyle data to provide tailored dietary recommendations. Major drivers include increasing prevalence of lifestyle-related issues, growing adoption of wearable health devices, and the expansion in need for personalized wellness solutions. AI accelerates data interpretation, predicts nutrient-gene interactions, and facilitates precision diet planning, empowering individuals to achieve better health outcomes while fostering the expansion of digital health platforms and nutrigenomic services.

Moreover, Europe's AI in nutrigenomics and personalized nutrition market is also fueled due to region's increasing consumer awareness of diet-related health risks and the demand for customized nutrition solutions. AI allows for the processing of genetic, metabolic, and lifestyle data to provide targeted dietary requirements, broadening health outcomes. Key drivers are innovations in machine learning and bioinformatics, growing rates of chronic diseases, and growing usage of wearable health devices monitoring individual nutrition requirements. Furthermore, favorable regulatory environments and investment in precision nutrition start-ups across Europe are driving AI adoption, improving predictive accuracy and individualized diet planning.

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Recent Developments:
• February 2025: Bevel (US) launched AI-powered nutrition tracking that can be integrated with blood glucose monitors, such as Libre and Dexcom to provide real-time insights into dietary impacts.

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Segmentation of AI in Nutrigenomics and Personalized Nutrition Market-
By Type of Product-
• Dietary Supplements (Vitamins, Minerals, Probiotics, Prebiotics, Botanicals, Proteins, Carbohydrates, and Fats)
• Functional Foods
• Nutraceuticals
By Type of Service-
• Dietary Assessment
• Nutrigenomics
• Personalized Meal Planning
• Lifestyle Assessment
• Health Monitoring
By Type of Technology-
• Machine Learning
• Natural Language Processing
• Computer Vision
• Predictive Analytics
By Type of Component-
• Software
• Hardware
• Services
By Application Area-
• Weight Management
• Sports Nutrition
• Digestive Health
• Cognitive Health
• Immune Health
By Type of Device-
• Wearables
• Smartphones
• Tablets
By Type of Deployment Mode-
• Cloud-Based
• On-Premises
By Region-
North America-
• The US
• Canada
Europe-
• Germany
• The UK
• France
• Italy
• Spain
• Rest of Europe
Asia-Pacific-
• China
• Japan
• India
• South Korea
• South East Asia
• Rest of Asia Pacific
Latin America-
• Brazil
• Argentina
• Mexico
• Rest of Latin America
Middle East & Africa-
• GCC Countries
• South Africa
• Rest of Middle East and Africa

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