AI in Personalized Nutrition Market is expected to reach US$ 4.26 billion by 2032 | Major Companies - Nestle S.A., EatLove, Inc., Season Health, Inc., Hungryroot, 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.

Get a Free Sample PDF Of This Report (Get Higher Priority for Corporate Email ID): https://datamintelligence.com/download-sample/ai-in-personalized-nutrition-market?sz

The AI in Personalized Nutrition market refers to solutions that use machine learning, data analytics, and genomics to deliver tailored dietary recommendations. It integrates health records, biomarkers, lifestyle data, and wearable inputs to optimize nutrition plans, improve wellness outcomes, support disease prevention, and enable precision-driven food, supplement, and digital health services across consumer and clinical settings worldwide for diverse populations.

Recent Key Developments of United States:

✅ January 2026: U.S. firms advanced AI nutrigenomics platforms, analyzing genetic and microbiome data for precision supplements, amid rising demand for preventive care solutions.

✅ December 2025: Over 63 million Americans adopted AI-powered nutrition platforms, with healthcare providers integrating dietary intelligence tools for managing obesity and diabetes, marking a 38% year-over-year growth.

✅ November 2025: AI grocery-assist platforms captured 18% of U.S. digital grocery spending, leveraging machine learning to deliver hyper-personalized meal recommendations based on user health data and purchase history.

Recent Key Developments of Japan:

✅ January 2026: Japan led APAC in AI-linked microbiome analytics, enrolling over 1 million users in gut-health programs that combine wearable data with personalized nutrition algorithms.

✅ December 2025: Japan's market hit USD 105 million, with 54% of consumers favoring AI precision meal-planning apps integrated into corporate wellness programs, up 32% year-over-year.

✅ November 2025: AI-driven nutritional counseling services emerged prominently, using predictive analytics and biometric feedback for tailored dietary plans targeting busy professionals and rural users.

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.

Speak to Our Analyst and Get Customization in the report as per your requirements: https://datamintelligence.com/customize/ai-in-personalized-nutrition-market?sz

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).

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)

Looking For Full Report? Get it Here: https://www.datamintelligence.com/buy-now-page?report=ai-in-personalized-nutrition-market

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.

Unlock 360° Market Intelligence with DataM Subscription Services: https://www.datamintelligence.com/reports-subscription

People Also Ask:

◆ How big is the AI in Personalized Nutrition Market in 2025?
◆ What is the projected growth rate of the AI in Personalized Nutrition Market through 2033?
◆ Who are the key players in the AI in Personalized Nutrition Market?
◆ Which region is expected to dominate the industry during the forecast period?

Contact Us -
Company Name: DataM Intelligence
Contact Person: Sai Kiran
Email: Sai.k@datamintelligence.com
Phone: +1 877 441 4866
Website: https://www.datamintelligence.com

About Us -
DataM Intelligence is a Market Research and Consulting firm that provides end-to-end business solutions to organizations from Research to Consulting. We, at DataM Intelligence, leverage our top trademark trends, insights and developments to emancipate swift and astute solutions to clients like you. We encompass a multitude of syndicate reports and customized reports with a robust methodology.
Our research database features countless statistics and in-depth analyses across a wide range of 6300+ reports in 40+ domains creating business solutions for more than 200+ companies across 50+ countries; catering to the key business research needs that influence the growth trajectory of our vast clientele.

This release was published on openPR.