AI in Personalized Nutrition Market Report 2026

The artificial intelligence (AI) in personalized nutrition market size has grown exponentially in recent years. It will grow from $4.5 billion in 2025 to $5.55 billion in 2026 at a compound annual growth rate (CAGR) of 23.3%. The growth in the historic period can be attributed to increasing availability of digital health data, growth of mobile health and wellness apps, rising consumer awareness of nutrition science, expansion of wearable health devices, early adoption of AI-based health solutions.

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.

The rising prevalence of diseases such as obesity is expected to drive the growth of the artificial intelligence (AI) in personalized nutrition market in the coming years. Obesity is a medical condition marked by excessive body fat accumulation that can negatively impact health. The number of obesity cases is increasing due to factors such as higher caloric intake, sedentary lifestyles, consumption of processed foods, socioeconomic influences, and environmental conditions that encourage unhealthy eating habits. AI-based personalized nutrition is essential for managing obesity as it enables the creation of customized dietary plans and interventions tailored to individual factors such as genetics, lifestyle, and health status, offering more effective and sustainable weight management strategies and promoting healthier eating behaviors. For example, in September 2024, the U.S. Centers for Disease Control and Prevention reported that in 2023, every U.S. state and territory recorded an adult obesity rate above 20% (over one in five adults). The highest obesity prevalence was in the Midwest (36%) and the South (34.7%), followed by the West (29.1%) and the Northeast (28.6%). Thus, the increasing prevalence of obesity is fueling the growth of the AI in personalized nutrition market.

Leading companies in the AI-driven personalized nutrition sector are concentrating on creating AI-powered food and recipe platforms to deliver personalized meal suggestions. These platforms utilize AI to generate customized dietary plans, recipes, and meal recommendations based on an individual's preferences, nutritional needs, and health data. For instance, in August 2023, Samsung Electronics, a South Korean consumer electronics manufacturer, introduced Samsung Food, an AI-powered personalized food and recipe platform. Samsung Food provides a fully personalized culinary experience, offering users access to over 160,000 recipes while serving as a virtual assistant for meal planning and ingredient sourcing. Its Food AI allows users to customize recipes to meet specific dietary needs, such as creating vegan alternatives or adjusting nutritional content. The platform also supports crafting fusion recipes, altering the cooking difficulty, and providing AI-driven meal plan recommendations tailored to individual preferences. Additionally, it enables users to create shopping lists from recipes and conveniently order ingredients online from various retailers.

In July 2024, Teamworks, a U.S.-based provider of productivity software, acquired ZoneIn for an undisclosed sum. The acquisition will integrate ZoneIn’s top features with the intellectual property of Notemeal, incorporating them into the Teamworks AMS platform. This integration builds on the foundation laid by the earlier acquisition of Smartabase. ZoneIn is a U.S.-based AI-powered sports nutrition app.

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.

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. The countries covered in the artificial intelligence (AI) in personalized nutrition market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

Tariffs are impacting the AI in personalized nutrition market by increasing costs of imported sensors, wearable devices, computing hardware, and data processing infrastructure that support AI-driven nutrition platforms. Healthcare and wellness providers in North America and Europe are particularly affected due to reliance on imported digital health hardware, while Asia-Pacific faces pricing pressures on device manufacturing. These tariffs can raise implementation and subscription costs for end users. However, they are also encouraging localized device manufacturing, regional data infrastructure development, and software-centric innovation that strengthens long-term ecosystem resilience.

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

Artificial intelligence (AI) in the context of personalized nutrition involves utilizing AI technologies such as machine learning, natural language processing, and data analytics to formulate dietary recommendations that are customized to an individual's specific traits. These AI systems examine extensive data from scientific studies, personal health records, and food information to create personalized nutrition plans designed to enhance health, prevent illnesses, and promote overall wellness. This strategy seeks to improve dietary results by providing more accurate and individualized methods for health maintenance or enhancement.

The primary 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 allows systems to learn from data and enhance their performance over time without explicit programming. It is used for meal planning and recommendations, nutrient analysis, personalized supplementation, allergen and sensitivity detection, and health monitoring, and is adopted by individuals, fitness and wellness centers, healthcare providers, and food manufacturers.

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.

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.

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