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.
AI in nutrigenomics and personalized nutrition refers to the use of artificial intelligence to analyze genetic, metabolic, and lifestyle data, enabling customized dietary recommendations that optimize individual health, prevent diseases, and enhance overall well-being.
The AI in Nutrigenomics and Personalized Nutrition market is rapidly expanding as artificial intelligence improves genetic data analysis to make accurate dietary recommendations. AI algorithms read genomic, metabolic, and lifestyle data to personalize nutrition plans that maximize individual health outcomes. The increased significance of nutrigenomics comes from the fact that it can connect genes with responses to nutrients, making truly personalized nutrition possible. One of the major drivers for this market is growing consumer interest in data-informed health solutions that avoid chronic conditions, promote wellness, and extend life. Also, advances in genomics, wearable health technology, and machine learning drive adoption across healthcare and nutrition markets.
The AI in nutrigenomics and personalized nutrition market is being driven by the rising adoption of medical wearable devices that track biomarkers such as glucose, heart rate, sleep patterns, and physical activity in real time. These devices develop vast datasets that, when integrated with AI algorithms, allow for highly personalized dietary and health recommendations. The growing consumer preference for data-driven wellness insights, combined with the increasing prevalence of lifestyle-related diseases, is fueling the demand for AI-powered nutrition platforms. Furthermore, healthcare professionals are leveraging wearable-generated data to design adaptive nutritional plans, improving preventive healthcare and personalized treatment outcomes.
Some of the Key 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
The AI in nutrigenomics and personalized nutrition market is segmented by type of product, type of services, type of technology, type of component, application area, type of device, type of deployment mode, and by region. By type of product, the market is segmented into dietary supplements (vitamins, minerals, probiotics, prebiotics, botanicals, proteins, carbohydrates, and fats), functional foods, and nutraceuticals. By type of services, the market is segmented into dietary assessment, nutrigenomics, personalized meal planning, lifestyle assessment, and health monitoring. By type of technology, the market is segmented into machine learning, natural language processing, computer vision, and predictive analytics. By type of component, the market is segmented into software, hardware, and services. By application area, the market is segmented into weight management, sports nutrition, digestive health, cognitive health, and immune health. By type of device, the market is segmented into wearables, smartphones, and tablets. By type of deployment type, the market is segmented into cloud-based, and on-premises.
In 2024, the dietary supplements held the major market share over the projected period due to rising adoption of dietary supplements tailored to individual genetic profiles. Artificial intelligence enables the analysis of genetic, metabolic, and lifestyle data to develop personalised nutrition plans, thereby optimising supplement efficacy and health outcomes. Growing consumer awareness of preventive medicine and chronic disease management is driving the demand for AI-based personalised nutrition. Further boosting market growth worldwide are growing applications of machine learning in diet assessment and predictive health analytics.
The AI in nutrigenomics and personalized nutrition market is dominated by software due to the growing demand for tailored health and wellness solutions. Increasing health consciousness, combined with rising incidences of lifestyle disorders such as obesity and diabetes, is driving the adoption of AI-based solutions that interpret genomic information for personalized nutrition recommendations. Further, advances in machine learning and bioinformatics, robust research infrastructure, and growing collaborations among biotech firms and healthcare professionals further drive market growth in the region.
North America dominates the market for AI in nutrigenomics and personalized nutrition due to region’s rising demand for customized dietary plans based on genetic profiles. Growing health awareness, coupled with increasing prevalence of lifestyle-related disorders such as obesity and diabetes, is fueling the adoption of AI-driven solutions that analyse genomic data for personalised nutrition insights. Additionally, advancements in machine learning and bioinformatics, strong research infrastructure, and expanding partnerships between biotech firms and healthcare providers further accelerate market growth in the region.
Moreover, Europe's AI in Nutrigenomics and Personalised Nutrition market is also fueled due to the region’s increasing consumer awareness of personalised health solutions and preventive care. The rising prevalence of lifestyle-related diseases such as obesity, diabetes, and cardiovascular disorders drives demand for tailored nutrition plans. Advances in AI, genomics, and bioinformatics enable the delivery of precise diet recommendations tailored to individual genetic profiles. Additionally, declining costs of genetic testing, supportive government initiatives, and growing investment in health technology startups are accelerating market growth across Europe.
Chapter 1. Methodology and Scope
1.1. Research Methodology
1.2. Research Scope & Assumptions
Chapter 2. Executive Summary
Chapter 3. Global AI in Nutrigenomics and Personalized Nutrition Market Snapshot
Chapter 4. Global AI in Nutrigenomics and Personalized Nutrition Market Variables, Trends & Scope
4.1. Market Segmentation & Scope
4.2. Drivers
4.3. Challenges
4.4. Trends
4.5. Investment and Funding Analysis
4.6. Porter's Five Forces Analysis
4.7. Incremental Opportunity Analysis (US$ MN), 2025-2034
4.8. Competitive Landscape & Market Share Analysis, By Key Player (2024)
4.9. Use/impact of AI on AI in Nutrigenomics and Personalized Nutrition Market Industry Trends
4.10. Global AI in Nutrigenomics and Personalized Nutrition Market Penetration & Growth Prospect Mapping (US$ Mn), 2024-2034
Chapter 5. AI in Nutrigenomics and Personalized Nutrition Market Segmentation 1: By Product, Estimates & Trend Analysis
5.1. Market Share by Product, 2024 & 2034
5.2. Market Size Revenue (US$ Million) & Forecasts and Trend Analyses, 2021 to 2034 for the following Product:
5.2.1. Dietary Supplements (Vitamins, Minerals, Probiotics, Prebiotics, Botanicals, Proteins, Carbohydrates, and Fats)
5.2.2. Functional Foods
5.2.3. Nutraceuticals
Chapter 6. AI in Nutrigenomics and Personalized Nutrition Market Segmentation 2: By Service, Estimates & Trend Analysis
6.1. Market Share by Service, 2024 & 2034
6.2. Market Size Revenue (US$ Million) & Forecasts and Trend Analyses, 2021 to 2034 for the following Service:
6.2.1. Dietary Assessment
6.2.2. Nutrigenomics
6.2.3. Personalized Meal Planning
6.2.4. Lifestyle Assessment
6.2.5. Health Monitoring
Chapter 7. AI in Nutrigenomics and Personalized Nutrition Market Segmentation 3: By Application Area, Estimates & Trend Analysis
7.1. Market Share by Application Area, 2024 & 2034
7.2. Market Size Revenue (US$ Million) & Forecasts and Trend Analyses, 2021 to 2034 for the following Application Area:
7.2.1. Weight Management
7.2.2. Sports Nutrition
7.2.3. Digestive Health
7.2.4. Cognitive Health
7.2.5. Immune Health
Chapter 8. AI in Nutrigenomics and Personalized Nutrition Market Segmentation 4: By Device, Estimates & Trend Analysis
8.1. Market Share by Device, 2024 & 2034
8.2. Market Size Revenue (US$ Million) & Forecasts and Trend Analyses, 2021 to 2034 for the following Device:
8.2.1. Wearables
8.2.2. Smartphones
8.2.3. Tablets
Chapter 9. AI in Nutrigenomics and Personalized Nutrition Market Segmentation 5: By Component, Estimates & Trend Analysis
9.1. Market Share by Component, 2024 & 2034
9.2. Market Size Revenue (US$ Million) & Forecasts and Trend Analyses, 2021 to 2034 for the following Component:
9.2.1. Hardware
9.2.2. Software
9.2.3. Services
Chapter 10. AI in Nutrigenomics and Personalized Nutrition Market Segmentation 6: By Deployment Mode, Estimates & Trend Analysis
10.1. Market Share by Deployment Mode, 2024 & 2034
10.2. Market Size Revenue (US$ Million) & Forecasts and Trend Analyses, 2021 to 2034 for the following Deployment Mode:
10.2.1. Cloud-Based
10.2.2. On-Premise
Chapter 11. AI in Nutrigenomics and Personalized Nutrition Market Segmentation 7: By Technology, Estimates & Trend Analysis
11.1. Market Share by Technology, 2024 & 2034
11.2. Market Size Revenue (US$ Million) & Forecasts and Trend Analyses, 2021 to 2034 for the following Technology:
11.2.1. Machine Learning
11.2.2. Natural Language Processing
11.2.3. Computer Vision
11.2.4. Predictive Analytics
Chapter 12. AI in Nutrigenomics and Personalized Nutrition Market Segmentation 8: Regional Estimates & Trend Analysis
12.1. Global AI in Nutrigenomics and Personalized Nutrition Market, Regional Snapshot 2024 & 2034
12.2. North America
12.2.1. North America AI in Nutrigenomics and Personalized Nutrition Market Revenue (US$ Million) Estimates and Forecasts by Country, 2021-2034
12.2.1.1. US
12.2.1.2. Canada
12.2.2. North America AI in Nutrigenomics and Personalized Nutrition Market Revenue (US$ Million) Estimates and Forecasts by Product, 2021-2034
12.2.3. North America AI in Nutrigenomics and Personalized Nutrition Market Revenue (US$ Million) Estimates and Forecasts by Service, 2021-2034
12.2.4. North America AI in Nutrigenomics and Personalized Nutrition Market Revenue (US$ Million) Estimates and Forecasts by Application Area, 2021-2034
12.2.5. North America AI in Nutrigenomics and Personalized Nutrition Market Revenue (US$ Million) Estimates and Forecasts by Device, 2021-2034
12.2.6. North America AI in Nutrigenomics and Personalized Nutrition Market Revenue (US$ Million) Estimates and Forecasts by Component, 2021-2034
12.2.7. North America AI in Nutrigenomics and Personalized Nutrition Market Revenue (US$ Million) Estimates and Forecasts by Deployment Mode, 2021-2034
12.2.8. North America AI in Nutrigenomics and Personalized Nutrition Market Revenue (US$ Million) Estimates and Forecasts by Technology, 2021-2034
12.3. Europe
12.3.1. Europe AI in Nutrigenomics and Personalized Nutrition Market Revenue (US$ Million) Estimates and Forecasts by Country, 2021-2034
12.3.1.1. Germany
12.3.1.2. U.K.
12.3.1.3. France
12.3.1.4. Italy
12.3.1.5. Spain
12.3.1.6. Rest of Europe
12.3.2. Europe AI in Nutrigenomics and Personalized Nutrition Market Revenue (US$ Million) Estimates and Forecasts by Product, 2021-2034
12.3.3. Europe AI in Nutrigenomics and Personalized Nutrition Market Revenue (US$ Million) Estimates and Forecasts by Service, 2021-2034
12.3.4. Europe AI in Nutrigenomics and Personalized Nutrition Market Revenue (US$ Million) Estimates and Forecasts by Application Area, 2021-2034
12.3.5. Europe AI in Nutrigenomics and Personalized Nutrition Market Revenue (US$ Million) Estimates and Forecasts by Device, 2021-2034
12.3.6. Europe AI in Nutrigenomics and Personalized Nutrition Market Revenue (US$ Million) Estimates and Forecasts by Component, 2021-2034
12.3.7. Europe AI in Nutrigenomics and Personalized Nutrition Market Revenue (US$ Million) Estimates and Forecasts by Deployment Mode, 2021-2034
12.3.8. Europe AI in Nutrigenomics and Personalized Nutrition Market Revenue (US$ Million) Estimates and Forecasts by Technology, 2021-2034
12.4. Asia Pacific
12.4.1. Asia Pacific AI in Nutrigenomics and Personalized Nutrition Market Revenue (US$ Million) Estimates and Forecasts by Country, 2021-2034
12.4.1.1. India
12.4.1.2. China
12.4.1.3. Japan
12.4.1.4. Australia
12.4.1.5. South Korea
12.4.1.6. Hong Kong
12.4.1.7. Southeast Asia
12.4.1.8. Rest of Asia Pacific
12.4.2. Asia Pacific AI in Nutrigenomics and Personalized Nutrition Market Revenue (US$ Million) Estimates and Forecasts by Product, 2021-2034
12.4.3. Asia Pacific AI in Nutrigenomics and Personalized Nutrition Market Revenue (US$ Million) Estimates and Forecasts by Service, 2021-2034
12.4.4. Asia Pacific AI in Nutrigenomics and Personalized Nutrition Market Revenue (US$ Million) Estimates and Forecasts by Application Area, 2021-2034
12.4.5. Asia Pacific AI in Nutrigenomics and Personalized Nutrition Market Revenue (US$ Million) Estimates and Forecasts by Device, 2021-2034
12.4.6. Asia Pacific AI in Nutrigenomics and Personalized Nutrition Market Revenue (US$ Million) Estimates and Forecasts by Component, 2021-2034
12.4.7. Asia Pacific AI in Nutrigenomics and Personalized Nutrition Market Revenue (US$ Million) Estimates and Forecasts by Deployment Mode, 2021-2034
12.4.8. Asia Pacific AI in Nutrigenomics and Personalized Nutrition Market Revenue (US$ Million) Estimates and Forecasts by Technology, 2021-2034
12.5. Latin America
12.5.1. Latin America AI in Nutrigenomics and Personalized Nutrition Market Revenue (US$ Million) Estimates and Forecasts by Country, 2021-2034
12.5.1.1. Brazil
12.5.1.2. Mexico
12.5.1.3. Rest of Latin America
12.5.2. Latin America AI in Nutrigenomics and Personalized Nutrition Market Revenue (US$ Million) Estimates and Forecasts by Product, 2021-2034
12.5.3. Latin America AI in Nutrigenomics and Personalized Nutrition Market Revenue (US$ Million) Estimates and Forecasts by Service, 2021-2034
12.5.4. Latin America AI in Nutrigenomics and Personalized Nutrition Market Revenue (US$ Million) Estimates and Forecasts by Application Area, 2021-2034
12.5.5. Latin America AI in Nutrigenomics and Personalized Nutrition Market Revenue (US$ Million) Estimates and Forecasts by Device, 2021-2034
12.5.6. Latin America AI in Nutrigenomics and Personalized Nutrition Market Revenue (US$ Million) Estimates and Forecasts by Component, 2021-2034
12.5.7. Latin America AI in Nutrigenomics and Personalized Nutrition Market Revenue (US$ Million) Estimates and Forecasts by Deployment Mode, 2021-2034
12.5.8. Latin America AI in Nutrigenomics and Personalized Nutrition Market Revenue (US$ Million) Estimates and Forecasts by Technology, 2021-2034
12.6. Middle East & Africa
12.6.1. Middle East & Africa Wind Turbine Rotor Blade Market Revenue (US$ Million) Estimates and Forecasts by country, 2021-2034
12.6.1.1. GCC Countries
12.6.1.2. Israel
12.6.1.3. South Africa
12.6.1.4. Rest of Middle East and Africa
12.6.2. Middle East & Africa AI in Nutrigenomics and Personalized Nutrition Market Revenue (US$ Million) Estimates and Forecasts by Product, 2021-2034
12.6.3. Middle East & Africa AI in Nutrigenomics and Personalized Nutrition Market Revenue (US$ Million) Estimates and Forecasts by Service, 2021-2034
12.6.4. Middle East & Africa AI in Nutrigenomics and Personalized Nutrition Market Revenue (US$ Million) Estimates and Forecasts by Application Area, 2021-2034
12.6.5. Middle East & Africa AI in Nutrigenomics and Personalized Nutrition Market Revenue (US$ Million) Estimates and Forecasts by Device, 2021-2034
12.6.6. Middle East & Africa AI in Nutrigenomics and Personalized Nutrition Market Revenue (US$ Million) Estimates and Forecasts by Component, 2021-2034
12.6.7. Middle East & Africa AI in Nutrigenomics and Personalized Nutrition Market Revenue (US$ Million) Estimates and Forecasts by Deployment Mode, 2021-2034
12.6.8. Middle East & Africa AI in Nutrigenomics and Personalized Nutrition Market Revenue (US$ Million) Estimates and Forecasts by Technology, 2021-2034
Chapter 13. Competitive Landscape
13.1. Major Mergers and Acquisitions/Strategic Alliances
13.2. Company Profiles
13.2.1. Appinventiv (US)
13.2.1.1. Business Overview
13.2.1.2. Key Product/Service Overview
13.2.1.3. Financial Performance
13.2.1.4. Geographical Presence
13.2.1.5. Recent Developments with Business Strategy
13.2.2. BetterMeal AI (US)
13.2.3. Culina Health (US)
13.2.4. DayTwo (US)
13.2.5. EatLove (US)
13.2.6. LemonBox (China)
13.2.7. Nutrify (India)
13.2.8. Nourished (UK)
13.2.9. Nutrino Health (Israel)
13.2.10. Nutrigenomix (Canada)
13.2.11. Persona Nutrition (US)
13.2.12. Viome (US)
13.2.13. Zoe (UK)
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
AI in Nutrigenomics and Personalized Nutrition Market by Type of Service-
· Dietary Assessment
· Nutrigenomics
· Personalized Meal Planning
· Lifestyle Assessment
· Health Monitoring
AI in Nutrigenomics and Personalized Nutrition Market by Type of Technology-
· Machine Learning
· Natural Language Processing
· Computer Vision
· Predictive Analytics
AI in Nutrigenomics and Personalized Nutrition Market by Type of Component-
· Software
· Hardware
· Services
AI in Nutrigenomics and Personalized Nutrition Market by Application Area-
· Weight Management
· Sports Nutrition
· Digestive Health
· Cognitive Health
· Immune Health
AI in Nutrigenomics and Personalized Nutrition Market by Type of Device-
· Wearables
· Smartphones
· Tablets
AI in Nutrigenomics and Personalized Nutrition Market by Deployment Mode-
· Cloud-Based
· On-Premises
AI in Nutrigenomics and Personalized Nutrition Market by Region-
North America-
· The US
· Canada
Europe-
· Germany
· The UK
· France
· Italy
· Spain
· Rest of Europe
Asia-Pacific-
· China
· Japan
· India
· South Korea
· Southeast Asia
· Rest of Asia Pacific
Latin America-
· Brazil
· Argentina
· Mexico
· Rest of Latin America
Middle East & Africa-
· GCC Countries
· South Africa
· Rest of the Middle East and Africa
InsightAce Analytic follows a standard and comprehensive market research methodology focused on offering the most accurate and precise market insights. The methods followed for all our market research studies include three significant steps – primary research, secondary research, and data modeling and analysis - to derive the current market size and forecast it over the forecast period. In this study, these three steps were used iteratively to generate valid data points (minimum deviation), which were cross-validated through multiple approaches mentioned below in the data modeling section.
Through secondary research methods, information on the market under study, its peer, and the parent market was collected. This information was then entered into data models. The resulted data points and insights were then validated by primary participants.
Based on additional insights from these primary participants, more directional efforts were put into doing secondary research and optimize data models. This process was repeated till all data models used in the study produced similar results (with minimum deviation). This way, this iterative process was able to generate the most accurate market numbers and qualitative insights.
Secondary research
The secondary research sources that are typically mentioned to include, but are not limited to:
The paid sources for secondary research like Factiva, OneSource, Hoovers, and Statista
Primary Research:
Primary research involves telephonic interviews, e-mail interactions, as well as face-to-face interviews for each market, category, segment, and subsegment across geographies
The contributors who typically take part in such a course include, but are not limited to:
Data Modeling and Analysis:
In the iterative process (mentioned above), data models received inputs from primary as well as secondary sources. But analysts working on these models were the key. They used their extensive knowledge and experience about industry and topic to make changes and fine-tuning these models as per the product/service under study.
The standard data models used while studying this market were the top-down and bottom-up approaches and the company shares analysis model. However, other methods were also used along with these – which were specific to the industry and product/service under study.
To know more about the research methodology used for this study, kindly contact us/click here.
