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#Artificial Intelligence (AI) In Personalized Nutrition Market Size Forecast: How Big Could The Market Get By 2030?#_x000D_
The artificial intelligence (AI) in personalized nutrition market has witnessed significant expansion in recent years. It is forecast to increase from $4.5 billion in 2025 to $5.55 billion in 2026, exhibiting a compound annual growth rate (CAGR) of 23.3%. The market’s past growth resulted from elements like the growing accessibility of digital health information, the rise of mobile health and wellness applications, increasing consumer knowledge about nutrition science, the spread of wearable health devices, and the initial implementation of AI-powered health solutions._x000D_
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The artificial intelligence (AI) in personalized nutrition market size is anticipated to experience substantial growth in the upcoming years. It is projected to reach $12.75 billion in 2030, exhibiting a compound annual growth rate (CAGR) of 23.1%. This expansion during the forecast period can be attributed to factors such as increasing demand for personalized healthcare solutions, the rising integration with genomic and microbiome data, the broadening of preventive healthcare models, growing partnerships between food and health tech firms, and continuous advancements in AI-driven nutrition science. Significant trends expected during this period include the increasing adoption of AI-driven dietary recommendation systems, greater integration of health and nutrition data platforms, the growing use of predictive nutrition analytics, the expansion of personalized supplement planning tools, and an enhanced focus on preventive health nutrition._x000D_
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#Artificial Intelligence (AI) In Personalized Nutrition Market Growth Backed By Core Demand Fundamentals#_x000D_
The rising incidence of health conditions such as obesity is projected to fuel the expansion of artificial intelligence (AI) in personalized nutrition market in the future. Obesity, defined as an excessive accumulation of body fat that can compromise health, is a medical condition. The surge in obesity cases stems from multiple contributors such as higher caloric consumption, inactive lifestyles, the intake of processed foods, socioeconomic pressures, and environmental elements fostering poor dietary choices. Artificial intelligence (AI) in personalized nutrition is crucial for combating obesity, as it facilitates the creation of customized dietary strategies and interventions. These plans are crafted considering individual attributes like genetics, way of life, and current health, thereby offering more impactful and lasting solutions for weight control and encouraging better eating patterns. As an illustration, in September 2024, data from the Centers for Disease Control and Prevention, a US-based government agency, indicated that in 2023, every U.S. state and territory recorded an adult obesity rate above 20% (equating to more than one in five adults). The Midwest (36.0%) and the South (34.7%) exhibited the greatest obesity prevalence, with the West (29.1%) and the Northeast (28.6%) trailing behind. Consequently, the rising instances of obesity are a key factor propelling the expansion of artificial intelligence (AI) in the personalized nutrition market._x000D_
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#Artificial Intelligence (AI) In Personalized Nutrition Market Segment Performance And Emerging Opportunities#_x000D_
The artificial intelligence (AI) in personalized nutrition market covered in this report is segmented – _x000D_
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1) By Type: Machine Learning, Deep Learning, Natural Language Processing, Computer Vision_x000D_
2) By Applications: Meal Planning And Recommendation, Nutrients Analysis, Personalized Supplementation, Allergen And Sensitivity Detection, Health Monitoring_x000D_
3) By End-User: Individual, Fitness And Wellness Center, Healthcare Provider, Food Manufacturers_x000D_
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1) By Machine Learning: Predictive Analytics, Dietary Recommendation Systems, Behavioral Pattern Recognition_x000D_
2) By Deep Learning: Neural Network-Based Diet Planning, Personalized Nutrient Optimization_x000D_
3) By Natural Language Processing (NLP): Conversational AI for Nutrition Guidance, AI-powered Nutrition Chatbots_x000D_
4) By Computer Vision: Food Recognition Systems, Portion Size Estimation Tools_x000D_
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#Artificial Intelligence (AI) In Personalized Nutrition Market Growth Trends Reshaping The Competitive Landscape#_x000D_
Leading companies in the artificial intelligence in personalized nutrition market are focusing on developing AI-powered food and recipe platforms to provide customized meal recommendations. An AI-powered food and recipe platform utilizes artificial intelligence to create personalized meal recommendations, recipes, and dietary plans, drawing on individual preferences, nutritional requirements, and health data. For example, in August 2023, Samsung Electronics, a South Korea-based manufacturer of consumer electronics, introduced Samsung Food, its personalized AI-powered food and recipe platform. Samsung Food delivers a comprehensive, personalized culinary experience by offering access to over 160,000 recipes and serving as a virtual assistant for meal planning and ingredient sourcing. A prominent feature is its Food AI, enabling recipe customization. This allows users to modify dishes to suit dietary needs, such as producing vegan options or balancing nutritional content. The platform also lets users create fusion recipes, adjust cooking difficulty, and receive AI-driven meal plan suggestions based on their personal preferences. Additionally, users can generate shopping lists directly from recipes and effortlessly order ingredients online from retailers._x000D_
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#Artificial Intelligence (AI) In Personalized Nutrition Market Key Players: Which Companies Lead Industry Competition?#_x000D_
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 _x000D_
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#Artificial Intelligence (AI) In Personalized Nutrition Market Geographic Landscape: Which Region Leads Industry Growth?#_x000D_
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._x000D_
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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.
