Artificial Intelligence (AI) in Personalized Nutrition Market Report 2024

This Artificial Intelligence (AI) in Personalized Nutrition market report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market’s historic and forecast market growth by geography.

The artificial intelligence (AI) in personalized nutrition market size has grown exponentially in recent years. It will grow from $2.96 billion in 2023 to $3.66 billion in 2024 at a compound annual growth rate (CAGR) of 23.4%. The growth during the historic period can be attributed to the increasing demand for personalized wellness solutions, greater awareness of nutrigenomics, the expansion of wearable health technology, the growing number of smartphones, and higher disposable incomes.

The artificial intelligence (AI) in personalized nutrition market size is expected to see exponential growth in the next few years. It will grow to $8.51 billion in 2028 at a compound annual growth rate (CAGR) of 23.5%. The growth anticipated in the forecast period can be credited to rising investments in health tech innovation, an expanding geriatric population, an increase in lifestyle-related diseases, the growing use of artificial intelligence (AI) in precision medicine, and the prevalence of conditions such as diabetes and obesity. Key trends expected during this period include the development of AI-powered nutrition platforms, the use of AI for genetic data analysis, the integration of AI with Internet of Things (IoT) devices, predictive analytics for personalized supplement recommendations, advancements in AI algorithms for customized meal planning, and the adoption of cutting-edge technologies.

The growing prevalence of conditions such as obesity is expected to drive the expansion of artificial intelligence (AI) in the personalized nutrition market. Obesity, a medical condition marked by excessive body fat that can negatively impact health, is on the rise due to a mix of factors such as increased caloric intake, sedentary lifestyles, processed food consumption, socioeconomic influences, and environmental conditions that encourage unhealthy eating behaviors. Managing obesity with AI-based personalized nutrition solutions is essential, as these systems help create individualized dietary plans and interventions tailored to factors such as genetics, lifestyle, and health status. This approach offers more effective and sustainable weight management strategies while promoting healthier eating habits. For example, the UK’s Office for Health Improvement and Disparities reported in May 2024 that between 2022 and 2023, around 64% of adults aged 18 and older in England were categorized as overweight or living with obesity, a slight increase from the 63.8% recorded in 2021-2022. As such, the rising rates of obesity are fueling the demand for AI in personalized nutrition.

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 Appinventiv, LemonBox, Culina Health, Viome Inc., EIT Food, Zoe Ltd., Habit, Nutrify LLC, Nutrino Health Ltd., January AI, Nutrigenomix Inc., InsideTracker, Persona Nutrition, Suggestic Inc., Spur Fit, BiteAI, BetterMeal AI, EatLove, Nourished, DayTwo.

North America was the largest region in the artificial intelligence (AI) in personalized nutrition market in 2023. The regions covered in the artificial intelligence (AI) in personalized nutrition marker report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

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

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 forms of artificial intelligence (AI) used in personalized nutrition consist of machine learning, deep learning, natural language processing, and computer vision. Machine learning, a subset of AI, allows systems to learn from data and enhance their effectiveness over time without the need for direct programming. It is utilized for various purposes, including meal planning and recommendations, nutrient evaluation, personalized supplement advice, allergen and sensitivity identification, and health monitoring. These applications are adopted by individuals, fitness and wellness facilities, healthcare professionals, and food producers.

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.

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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