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Analysis of Key Market Segments Driving the Artificial Intelligence (AI) in Personalized Nutrition Market
Artificial Intelligence (AI) In Personalized Nutrition Market
Projected Market Expansion of the AI in Personalized Nutrition Sector
The AI in personalized nutrition market is expected to experience remarkable growth, reaching a valuation of $12.75 billion by 2030. This growth trajectory represents a robust compound annual growth rate (CAGR) of 23.1%. Several factors contribute to this surge, including rising consumer demand for personalized healthcare, increased integration of genomic and microbiome data, expanding preventive healthcare models, more collaborations between food and health technology companies, and continual progress in AI-driven nutrition science. Significant trends anticipated throughout this period involve the widespread adoption of AI-based dietary recommendation tools, enhanced integration of health and nutrition data platforms, expanding use of predictive nutrition analytics, growth in personalized supplement planning applications, and a stronger emphasis on preventive nutrition strategies.
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Top Players Influencing the AI in Personalized Nutrition Market
Key companies driving innovation and competition in the AI in personalized nutrition space include 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, and BirdieAI. In a notable move in July 2024, US-based software provider Teamworks acquired ZoneIn, an AI-powered sports nutrition app, for an undisclosed sum. This acquisition allows Teamworks to merge ZoneIn's top features and intellectual property from Notemeal into its AMS platform, building on previous strategic moves including the purchase of Smartabase.
Current Trends Shaping the AI in Personalized Nutrition Market
Leading firms in this market are focusing on creating AI-enhanced food and recipe platforms that deliver customized meal suggestions. These platforms use artificial intelligence to tailor recipes, dietary plans, and meal recommendations according to individual preferences, nutritional requirements, and health data. For example, in August 2023, Samsung Electronics introduced Samsung Food, an AI-powered personalized food and recipe platform. It offers access to over 160,000 recipes and functions as a virtual assistant for meal planning and ingredient sourcing. One of its key features is Food AI, which enables users to adjust recipes to suit specific dietary needs-such as vegan adaptations or nutritional balancing-while also allowing for fusion dishes, varied cooking difficulty levels, and AI-generated meal plan suggestions based on user inputs. Additionally, the platform provides shopping list creation and the option to order ingredients online from partnered retailers seamlessly.
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How Major Segments Contribute to Growth in the AI in Personalized Nutrition Market
This market is categorized across several dimensions:
- By Type: including Machine Learning, Deep Learning, Natural Language Processing (NLP), and Computer Vision
- By Application: meal planning and recommendation, nutrient analysis, personalized supplementation, allergen and sensitivity detection, and health monitoring
- By End-User: individuals, fitness and wellness centers, healthcare providers, and food manufacturers
Further breakdown of types includes Machine Learning subsegments such as predictive analytics, dietary recommendation systems, and behavioral pattern recognition; Deep Learning applications like neural network-based diet planning and personalized nutrient optimization; NLP uses such as conversational AI for nutrition guidance and AI-driven nutrition chatbots; and Computer Vision technologies like food recognition systems and portion size estimation tools.
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