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Artificial Intelligence (AI) In Personalized Nutrition Market Value Analysis: What Growth Is Expected Over The Forecast Period?
The artificial intelligence (AI) in personalized nutrition market size has experienced significant expansion in recent years. It is projected to grow from $4.5 billion in 2025 to $5.55 billion in 2026 at a compound annual growth rate (CAGR) of 23.3%. The market’s growth during the historic period can be attributed to several factors, including the increasing availability of digital health data, the rise of mobile health and wellness applications, growing consumer awareness of nutrition science, the expansion of wearable health devices, and the early adoption of AI-based health solutions.
The artificial intelligence (AI) in personalized nutrition market is projected for substantial expansion in the coming years, with its size expected to reach $12.75 billion by 2030, exhibiting a compound annual growth rate (CAGR) of 23.1%. This anticipated growth during the forecast period is fueled by an increasing demand for personalized healthcare solutions, rising integration with genomic and microbiome data, the expansion of preventive healthcare models, growing partnerships between food and health technology firms, and continuous advancements in AI-driven nutrition science. Major trends influencing this period include the increasing adoption of AI-driven dietary recommendation systems, the rising integration of health and nutrition data platforms, a growing use of predictive nutrition analytics, the expansion of personalized supplement planning tools, and an enhanced focus on preventive health nutrition.
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Artificial Intelligence (AI) In Personalized Nutrition Market Opportunity Drivers: What Is Creating New Revenue Potential?
The future expansion of artificial intelligence (AI) in personalized nutrition market is expected to be propelled by the rising prevalence of diseases like obesity. Obesity, a medical condition characterized by an excessive accumulation of body fat, can impair health. The increase in obesity cases stems from various contributing factors, including higher caloric intake, inactive lifestyles, consumption of processed foods, socioeconomic influences, and environmental elements that foster unhealthy eating habits. Artificial intelligence personalized nutrition is crucial for managing obesity because it facilitates the creation of customized dietary plans and interventions based on individual attributes such as genetics, lifestyle, and health status, offering more effective and sustainable approaches to weight management and promoting healthier eating patterns. For instance, in September 2024, the Centers for Disease Control and Prevention, a US-based government agency, reported that by 2023, every U.S. state and territory had an adult obesity rate above 20% (more than one in five adults). The highest obesity prevalence was observed in the Midwest (36.0%) and the South (34.7%), followed by the West (29.1%) and the Northeast (28.6%). Therefore, the growing incidence of obesity cases fuels the growth of artificial intelligence (AI) in the personalized nutrition market.
Artificial Intelligence (AI) In Personalized Nutrition Market Segment Analysis: What Are The Major Market Categories?
The artificial intelligence (AI) in personalized nutrition market covered in this report is segmented –
1) By Type: Machine Learning, Deep Learning, Natural Language Processing, Computer Vision
2) By Applications: Meal Planning And Recommendation, Nutrients Analysis, Personalized Supplementation, Allergen And Sensitivity Detection, Health Monitoring
3) By End-User: Individual, Fitness And Wellness Center, Healthcare Provider, Food Manufacturers
Subsegments:
1) By Machine Learning: Predictive Analytics, Dietary Recommendation Systems, Behavioral Pattern Recognition
2) By Deep Learning: Neural Network-Based Diet Planning, Personalized Nutrient Optimization
3) By Natural Language Processing (NLP): Conversational AI for Nutrition Guidance, AI-powered Nutrition Chatbots
4) By Computer Vision: Food Recognition Systems, Portion Size Estimation Tools
Artificial Intelligence (AI) In Personalized Nutrition Market Growth Trends Influencing Competitive Dynamics
Leading companies in the artificial intelligence in personalized nutrition market are concentrating on developing AI-powered food and recipe platforms to provide customized meal recommendations. Such platforms utilize artificial intelligence to generate tailored meal suggestions, recipes, and dietary plans based on individual preferences, nutritional needs, and health data. For instance, in August 2023, Samsung Electronics, a South Korea-based consumer electronics manufacturer, launched Samsung Food, its own personalized AI-powered food and recipe platform. Samsung Food offers a comprehensive, individualized culinary experience by granting access to over 160,000 recipes and serving as a virtual assistant for meal planning and ingredient sourcing. A key feature is its Food AI, which enables recipe customization. This allows users to modify dishes to align with dietary needs, such as creating vegan versions or balancing nutritional content. Moreover, the platform permits users to design fusion recipes, adjust cooking difficulty, and receive AI-driven meal plan suggestions tailored to personal preferences. Additionally, users can generate shopping lists directly from recipes and conveniently order ingredients online from various retailers.
Artificial Intelligence (AI) In Personalized Nutrition Market Leading Companies Driving Competitive Growth
Major companies operating in the artificial intelligence (AI) in personalized nutrition market are Culina Health, Viome Inc., Zoe Ltd., Habit, Nutrify LLC, Nutrino Health Ltd., January AI, Nutrigenomix Inc., InsideTracker, Persona Nutrition, Suggestic Inc., BiteAI, BetterMeal AI, EatLove, Nourished, DayTwo, Lumen, FoodMarble, Baze Technologies, Tespo, Wellory, PlateJoy, LifeNome, DietSensor, NourIQ AI, BirdieAI
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#Artificial Intelligence (AI) In Personalized Nutrition Market Largest Region: Which Geography Holds The Highest Market Share?
North America was the largest region in the artificial intelligence (AI) in personalized nutrition market in 2025. The regions covered in the artificial intelligence (AI) in personalized nutrition market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
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Wasay has over a decade of experience in market research, data modelling, and analytics, with prior experience at GlobalData and Decision Tree Consulting Services. At The Business Research Company , he leads research operations across syndicated studies, customized consulting engagements, and the Global Market Model platform. His professional experience includes supporting organizations such as Boston Consulting Group, KPMG, and Ernst & Young. Wasay holds a degree in Electronics and Communications Engineering, postgraduate management qualifications from International Management Institute Belgium and Indian School of Business and Entrepreneurship, and completed the Integrated Program in Business Analytics from Indian Institute of Management Indore.