United States AI in Personalized Nutrition Market Set to Revolutionize Health & Wellness with Smarter, Data-Driven Solutions 2025 | Top key players - Nestlé S.A., EatLove, Inc., Season Health, Inc.

Market Size and Growth:

The Global AI in Personalized Nutrition Market size reached US$ 1.12 billion in 2024 and is expected to reach US$ 4.26 billion by 2032, growing with a CAGR of 18.19% during the forecast period 2025-2032.

The AI in Personalized Nutrition Market report, published by DataM Intelligence, provides in-depth insights and analysis on key market trends, growth opportunities, and emerging challenges. Committed to delivering actionable intelligence, DataM Intelligence empowers businesses to make informed decisions and stay ahead of the competition. Through a combination of qualitative and quantitative research methods, it offers comprehensive reports that help clients navigate complex market landscapes, drive strategic growth, and seize new opportunities in an ever-evolving global market.

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The AI in Personalized Nutrition Market refers to the integration of artificial intelligence technologies to deliver tailored dietary recommendations, meal planning, and nutritional solutions based on individual health data, genetics, lifestyle, and preferences. It enhances precision nutrition, improves health outcomes, supports disease prevention, and drives innovation in digital health, wellness platforms, and food-tech industries.

Recent Key Developments of United States (U.S):

Increased Wearable Integration: AI-powered nutrition apps are increasingly integrating with wearable devices like continuous glucose monitors and smartwatches. This provides real-time data to create more nuanced and effective dietary recommendations, moving beyond generic advice to suggestions based on an individual's actual biological responses and daily activity. (August-September 2025)

Focus on Mental Wellbeing: There is a growing trend of AI nutrition platforms addressing the link between diet and mental health. New features are being developed to recommend foods that may influence mood, stress levels, and cognitive function, recognizing the holistic connection between physical and emotional health. (August-September 2025)

Genetic and Microbiome Data Analysis: Companies are increasingly using AI to analyze an individual's genetic and gut microbiome data. This allows for hyper-personalized dietary plans that account for genetic predispositions and unique gut health, leading to more precise and effective nutrition strategies for health optimization and disease prevention. (August-September 2025)

AI for Chronic Disease Management: AI-driven platforms are being used to create personalized nutrition plans for managing chronic conditions like obesity and type 2 diabetes. These systems utilize data from various sources to provide tailored dietary advice, improving adherence to dietary guidelines and enhancing health outcomes. (July-August 2025)

New Research Initiatives and Partnerships: The U.S. Food and Drug Administration (FDA) and the National Institutes of Health (NIH) have entered into joint research initiatives to advance the field of personalized nutrition. This collaboration aims to promote innovation and evidence-based solutions, further legitimizing and accelerating the use of AI in this sector. (May 2025)

List of the Key Players in the AI in Personalized Nutrition Market:

Nestle S.A.
EatLove, Inc.
Season Health, Inc.
Hungryroot, Inc.
Nutrium, Lda.
DNAfit Life Sciences Ltd.
Nutrigenomix Inc.
Instacart
Weight Watchers International, Inc.
Daily Harvest, Inc.

This Report Covers:

✔ Go-to-market Strategy.

✔ Neutral perspective on the market performance.

✔Development trends, competitive landscape analysis, supply side analysis, demand side analysis, year-on-year growth, competitive benchmarking, vendor identification, and other significant analysis, as well as development status.

✔Customized regional/country reports as per request and country level analysis.

✔ Potential & niche segments and regions exhibiting promising growth covered.

✔ Analysis of Market Size (historical and forecast), Total Addressable Market (TAM), Serviceable Available Market (SAM), Serviceable Obtainable Market (SOM), Market Growth, Technological Trends, Market Share, Market Dynamics, Competitive Landscape and Major Players (Innovators, Start-ups, Laggard, and Pioneer).

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Segments Covered in the AI in Personalized Nutrition Market:

By Technology: AI and Machine Learning, Natural Language Processing (NLP), Computer Vision, Predictive Analytics, Deep Learning, Others.

By Deployment Mode: Cloud-Based AI Solutions, On-Premise AI Solutions.

By End-User: Fitness Enthusiasts, Fitness and Wellness Centers.

By Application: Meal Planning and Recommendations, Nutrient Analysis, Personalized Supplementation, Allergen and Sensitivity Detection, Health Monitoring, Others.

Regional Analysis:

⇥ North America (U.S., Canada, Mexico)

⇥ Europe (U.K., Italy, Germany, Russia, France, Spain, The Netherlands and Rest of Europe)

⇥ Asia-Pacific (India, Japan, China, South Korea, Australia, Indonesia Rest of Asia Pacific)

⇥ South America (Colombia, Brazil, Argentina, Rest of South America)

⇥ Middle East & Africa (Saudi Arabia, U.A.E., South Africa, Rest of Middle East & Africa)

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Chapter Outline

⏩ Market Overview: It contains five chapters, as well as information about the research scope, major manufacturers covered, market segments, AI in Personalized Nutrition market segments, study objectives, and years considered.

⏩ Market Landscape: The competition in the Global AI in Personalized Nutrition Market is evaluated here in terms of value, turnover, revenues, and market share by organization, as well as market rate, competitive landscape, and recent developments, transaction, growth, sale, and market shares of top companies.

⏩ Companies Profiles: The Global AI in Personalized Nutrition market's leading players are studied based on sales, main products, gross profit margin, revenue, price, and growth production.

⏩ Market Outlook by Region: The report goes through gross margin, sales, income, supply, market share, CAGR, and market size by region in this segment. North America, Europe, Asia Pacific, Middle East & Africa, and South America are among the regions and countries studied in depth in this study.

⏩ Market Segments: It contains the deep research study which interprets how different end-user/application/type segments contribute to the AI in Personalized Nutrition Market.

⏩ Market Forecast: Production Side: In this part of the report, the authors have focused on production and production value forecast, key producers forecast, and production and production value forecast by type.

⏩ Research Findings: This section of the report showcases the findings and analysis of the report.

⏩ Conclusion: This portion of the report is the last section of the report where the conclusion of the research study is provided.

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