Artificial Intelligence (AI) In Personalized Nutrition Market Report 2026

Artificial Intelligence (AI) In Personalized Nutrition Market Overview

• Artificial Intelligence (AI) In Personalized Nutrition market size has reached to $4.5 billion in 2025 • Expected to grow to $12.75 billion in 2030 at a compound annual growth rate (CAGR) of 23.1% • Growth Driver: The Impact Of Rising Obesity Rates On The Growth Of Artificial Intelligence In Personalized Nutrition • Market Trend: AI-Powered Innovations In Personalized Nutrition • North America was the largest region in 2025.

What Is Covered Under Artificial Intelligence (AI) In Personalized Nutrition Market?

Artificial intelligence (AI) in personalized nutrition refers to the application of AI technologies, such as machine learning, natural language processing, and data analytics, to create tailored dietary recommendations based on an individual's unique characteristics. AI systems analyze vast amounts of data from scientific research, personal health data, and food databases to develop personalized nutrition plans that aim to optimize health, prevent disease, and support overall well-being. This approach aims to improve dietary outcomes by offering more precise, individualized strategies for maintaining or enhancing health. The main types of artificial intelligence (AI) in personalized nutrition include machine learning, deep learning, natural language processing, and computer vision. Machine learning is a branch of artificial intelligence that enables systems to learn from data and improve their performance over time without explicit programming. It is applied for meal planning and recommendation, nutrient analysis, personalized supplementation, allergen and sensitivity detection, and health monitoring, and is used by individuals, fitness and wellness centers, healthcare providers, and food manufacturers.

What Is The Artificial Intelligence (AI) In Personalized Nutrition Market Growth Forecast?

The artificial intelligence (AI) in personalized nutrition market size is expected to see exponential growth in the next few years. It will grow to $12.75 billion in 2030 at a compound annual growth rate (CAGR) of 23.1%. The growth in the forecast period can be attributed to increasing demand for personalized healthcare solutions, rising integration with genomic and microbiome data, expansion of preventive healthcare models, growing partnerships between food and health tech firms, continuous advancements in AI-driven nutrition science. Major trends in the forecast period include increasing adoption of AI-driven dietary recommendation systems, rising integration of health and nutrition data platforms, growing use of predictive nutrition analytics, expansion of personalized supplement planning tools, enhanced focus on preventive health nutrition.

Global Artificial Intelligence (AI) In Personalized Nutrition Market Segmentation

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

What Is The Driver Of The Artificial Intelligence (AI) In Personalized Nutrition Market?

The increasing number of diseases such as obesity are expected to drive the growth of artificial intelligence (AI) in personalized nutrition market going forward. Obesity is a medical condition characterized by excessive body fat accumulation that may impair health. Obesity cases are rising due to a combination of factors, including increased caloric intake, sedentary lifestyles, processed food consumption, socioeconomic influences, and environmental factors that promote unhealthy eating habits. AI personalized nutrition is required for managing obesity because it enables the development of tailored dietary plans and interventions based on individual factors such as genetics, lifestyle, and health status, providing more effective and sustainable strategies for weight management and promoting healthier eating habits. For instance, in September 2024, according to the Centers for Disease Control and Prevention, a US-based government agency, in 2023, every U.S. state and territory reported an adult obesity rate above 20% (more than one in five adults). The highest obesity prevalence was found in the Midwest (36.0%) and the South (34.7%), followed by the West (29.1%) and the Northeast (28.6%). Therefore, increasing obesity cases drives the growth of artificial intelligence (AI) in the personalized nutrition market.

Key Players In The Global Artificial Intelligence (AI) In Personalized Nutrition Market

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

Global Artificial Intelligence (AI) In Personalized Nutrition Market Trends and Insights

Major companies operating in the artificial intelligence in personalized nutrition market are focused on developing AI-powered food and recipe platforms to offer personalized meal recommendations. An AI-powered food and recipe platform uses artificial intelligence to generate customized meal recommendations, recipes, and dietary plans based on individual preferences, nutritional needs, and health data. For instance, in August 2023, Samsung Electronics, a South Korea-based manufacturer of consumer electronics, launched Samsung Food, a personalized AI-powered food and recipe platform. Samsung Food offers a comprehensive, personalized food experience by providing access to over 160,000 recipes and acting as a virtual assistant for meal planning and ingredient sourcing. Its standout feature is the ability to customize recipes through its Food AI. It allows users to modify dishes to meet dietary needs, such as creating vegan versions or balancing nutritional content. The platform also enables users to craft fusion recipes, adjust cooking difficulty, and receive AI-driven meal plan recommendations based on personal preferences. Additionally, users can generate shopping lists from recipes and seamlessly order ingredients online from retailers.

What Are Latest Mergers And Acquisitions In The Artificial Intelligence (AI) In Personalized Nutrition Market?

In July 2024, Teamworks, a US-based company that provides productivity software, acquired ZoneIn for an undisclosed amount. As a result of the acquisition, the top features of ZoneIn will be combined with the intellectual property from Notemeal and integrated into the Teamworks AMS platform. This integration builds upon the foundation established through the earlier acquisition of Smartabase. ZoneIn is a US-based AI-powered sports nutrition app.

Regional Insights

North America was the largest region in the artificial intelligence (AI) in personalized nutrition market in 2025. The regions covered in this market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in this market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

What Defines the Artificial Intelligence (AI) In Personalized Nutrition Market?

The artificial intelligence (AI) in personalized nutrition market consists of revenues earned by entities by providing services such as nutrient tracking, real-time diet adjustment, food logging and recognition, supplement recommendations and wellness tracking. The market value includes the value of related goods sold by the service provider or included within the service offering. The artificial intelligence (AI) in personalized nutrition market also includes sales of custom meal kits, AI-powered nutrition apps, wearable devices and protein powders. Values in this market are ‘factory gate’ values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

How is Market Value Defined and Measured?

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified). The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

What Key Data and Analysis Are Included in the Artificial Intelligence (AI) In Personalized Nutrition Market Report 2026?

The artificial intelligence (ai) in personalized nutrition market research report is one of a series of new reports from The Business Research Company that provides market statistics, including industry global market size, regional shares, competitors with the market share, detailed market segments, market trends and opportunities, and any further data you may need to thrive in the artificial intelligence (ai) in personalized nutrition industry. The market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future state of the industry.