Press release
AI in Personalized Nutrition Market Set for Strong Growth to USD 4.26 Billion by 2032, Led by North America's 40% Global Market Share | DataM Intelligence
AI in Personalized Nutrition Market
Market growth is driven by increasing consumer demand for customized diet and wellness solutions, rising prevalence of lifestyle-related diseases, and growing adoption of AI-driven health analytics. Additionally, advancements in machine learning, integration of genomics and microbiome data, expansion of digital health platforms, and increasing awareness of preventive healthcare are further accelerating market expansion.
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United States: Key Industry Developments
✅ October 2025: Walmart partnered with Soda Health to launch Walmart Everyday Health Signals, a program delivering personalized nutrition advice based on shopping behaviors and AI analysis.
✅ July 2025: Dexcom introduced an AI-powered photo meal logging feature for its Stelo glucose biosensor, enabling users to track personalized meals and optimize nutrition in real-time.
✅ June 2025: Omada Health unveiled Nutritional Intelligence, an AI-driven platform providing evidence-based food recommendations to improve metabolic health and dietary habits.
Asia Pacific / Japan: Key Industry Developments
✅ May 2025: Fitterfly Healthtech (India) released Nutrition 360 Suite, featuring AI-based photo and voice logging plus diet plan generation to embed personalized nutrition in digital health platforms.
✅ February 2025: Regional investments in AI nutrition tech surged, with Asia Pacific noted for rapid adoption of genetic testing and AI for tailored formulations amid rising health awareness in India, China, and Japan.
Key Merges and Acquisitions (2025):
✅ Nestlé - partnered with a leading AI firm to advance personalized nutrition offerings, integrating AI-driven insights for customized dietary recommendations and enhanced consumer health solutions.
✅ Prominent nutritional supplement company - acquired an AI startup focused on personalized dietary algorithms, aiming to embed advanced AI into product lines for greater market competitiveness.
✅ Renowned tech giant - launched an AI-powered app for personalized meal plans based on individual health data, marking a key advancement in consumer-centric nutrition technology.
Market Segmentation Analysis:
-By Technology: Machine Learning Leads with 45% Share
Machine learning dominates at 45% market share in 2024, powering predictive dietary models and real-time nutrient optimization for tailored plans.
Natural language processing holds 25%, enabling chatbots for user queries and meal logging analysis.
Computer vision captures 15% by analyzing food images for composition, while predictive analytics and deep learning split the rest at 10% and 5%, respectively, focusing on trend forecasting and complex pattern recognition.
-By Deployment Mode: Cloud-Based Commands 70%
Cloud-based solutions lead with 70% share, offering scalability and remote access for apps like meal planners via platforms such as AWS or Azure.
On-premise holds 30%, preferred by healthcare providers needing data security and customization without internet dependency.
-By End-User: Individuals Top at 40%
Individuals claim 40% share, driving direct-to-consumer apps for personal health tracking and supplements.
Fitness and wellness centers take 25%, using AI for group coaching and performance nutrition.
Healthcare providers follow at 20% for clinical integrations, with others at 15% including dietitians.
-By Application: Weight Management Dominates 35%
Weight management leads at 35%, leveraging AI for calorie tracking and obesity interventions amid rising fitness demands.
Meal planning and recommendations hold 25%, generating customized recipes.
Nutrient analysis and personalized supplementation each claim 15%, focusing on breakdowns and targeted vitamins, while allergen detection and health monitoring split 10%.
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Growth Drivers:
-Rising consumer demand for personalized health and wellness solutions, driven by increased awareness of individual nutritional needs.
-Advancements in AI algorithms, machine learning, and computing power enabling precise analysis of genetic, dietary, and health data.
-Growing prevalence of chronic diseases like diabetes, obesity, and lifestyle-related conditions necessitating targeted nutrition interventions.
-Integration of AI with wearable devices, IoT, and mobile health apps for real-time monitoring and predictive dietary recommendations.
-Expansion of nutrigenomics and precision medicine, supported by higher investments in health tech and aging populations.
Regional Insights:
-North America holds the largest share in the AI in personalized nutrition market at around 40% as of 2024, driven by advanced technological infrastructure, high healthcare spending, and strong consumer demand for tailored wellness solutions. The presence of leading tech firms and startups, along with robust R&D investments, particularly in the US, accelerates adoption of AI-driven dietary tools.
-Europe follows with a significant but smaller market share, supported by increasing health awareness, regulatory frameworks favoring digital health innovations, and growing integration of AI in nutrition apps across countries like the UK and Germany.
-Asia Pacific ranks third in market share, exhibiting the fastest growth potential due to rising disposable incomes, expanding middle class, and rapid tech adoption in nations like China, India, and Japan, though it trails North America and Europe in current dominance.
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Key Players:
Nestlé 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.
Key Highlights (Top 5 Key Players) for AI in Personalized Nutrition Market:
-Nestlé S.A. leverages AI-powered platforms and digital twin technology to deliver personalized nutrition recommendations, analyzing dietary habits, biometrics, and lifestyle data for tailored food and supplement suggestions.
-EatLove, Inc. provides AI-driven meal planning and nutrition coaching services, using algorithms to create customized grocery lists and recipes based on individual health goals, preferences, and genetic insights.
-Season Health, Inc. offers virtual nutrition care powered by AI, matching users with dietitians while employing predictive analytics to personalize meal plans and track progress for conditions like diabetes.
-Hungryroot, Inc. utilizes AI to generate hyper-personalized grocery and meal kits, adapting offerings in real-time based on user feedback, dietary needs, and past orders to optimize nutrition and convenience.
-Nutrium, Lda. develops AI-enhanced software for nutrition professionals, enabling personalized diet plans through data analysis of client health metrics, food logs, and progress to streamline consultations and outcomes.
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