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 2034″
Global AI in Nutrigenomics and Personalized Nutrition Market Size is valued at US$ 3.4 Bn in 2024 and is predicted to reach US$ 10.9 Bn by the year 2034 at an 12.8% CAGR during the forecast period for 2025-2034.
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The AI-driven nutrigenomics and personalized nutrition sector leverages artificial intelligence to analyze genetic, metabolic, and lifestyle data, enabling tailored dietary guidance that optimizes health, mitigates disease risk, and enhances nutrient utilization based on individual biological profiles. The market is witnessing rapid growth, fueled by expanding digital healthcare infrastructure and the increasing adoption of AI-enabled analytical platforms. Advanced AI algorithms facilitate the precise interpretation of genomic, metabolic, and lifestyle datasets, supporting highly personalized dietary recommendations for consumers.
The widespread deployment of digital health tools, including wearable devices, mobile health applications, and electronic medical records, enables seamless collection and integration of real-time health data into AI platforms. This technological ecosystem enhances the accuracy, scalability, and accessibility of personalized nutrition solutions, empowering healthcare professionals and consumers with actionable insights. Consequently, AI-enabled nutrigenomics applications are proving increasingly effective in chronic disease prevention, wellness optimization, and overall health enhancement, driving robust international market growth.
Additionally, ongoing nutrigenomics research—examining the interplay between genes and nutrition in nutrient metabolism, disease susceptibility, and overall well-being—further underpins market expansion. AI supports high-throughput genomic analysis, predictive modeling, and individualized diet planning, translating complex biological data into practical nutrition interventions. Rising consumer interest in preventive healthcare and personalized wellness, coupled with continuous advancements in AI algorithms and bioinformatics platforms, is accelerating adoption of AI-driven nutrigenomics solutions globally.
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
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Market Dynamics:
Drivers:
The AI in nutrigenomics and personalized nutrition market is experiencing rapid growth as organizations increasingly utilize machine learning algorithms to analyze genetic, metabolic, and lifestyle data for customized dietary guidance. Artificial intelligence enables large-scale genomic data analysis, prediction of nutrient responses, and the development of personalized meal plans to optimize health and support disease prevention. The adoption of AI-driven platforms facilitates real-time dietary recommendations, identification of patterns in complex biological datasets, and forecasting of individual nutrient requirements. These capabilities enhance consumer engagement, accelerate precision nutrition initiatives, and strengthen preventive healthcare programs.
Challenges:
Despite its growth potential, the market faces significant challenges related to data privacy and security. Handling sensitive genomic and health information exposes companies to risks of unauthorized access, misuse, or cyberattacks. Compliance with stringent data protection regulations, such as GDPR, adds operational complexity, while consumer reluctance to share personal genetic information may limit adoption. To address these concerns, businesses must implement robust encryption protocols, secure data storage solutions, and transparent consent mechanisms.
Regional Trends:
In North America, the market is expanding strongly due to heightened consumer focus on health optimization, chronic disease prevention, and personalized wellness. AI platforms analyze genetic, metabolic, and lifestyle data to deliver tailored nutritional guidance, enabling precision diet planning and nutrient-gene interaction predictions. The adoption of wearable health technologies, rising lifestyle-related health concerns, and growing digital health infrastructure further drive market growth.
In Europe, market growth is supported by increasing consumer awareness of diet-related health risks and the demand for individualized nutrition solutions. AI applications facilitate processing of genomic and metabolic data to deliver precise dietary recommendations, improving health outcomes. Key growth drivers include advancements in machine learning and bioinformatics, rising prevalence of chronic conditions, and expanded use of wearable nutrition-monitoring devices. Favorable regulatory frameworks, along with investment in precision nutrition start-ups, are enhancing predictive accuracy and supporting widespread adoption of AI-based personalized nutrition solutions.
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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.
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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