Artificial Intelligence (AI) In Personalized Nutrition Market Landscape to 2034: Key Forces Shaping the Next Decade of Growth

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Artificial Intelligence (AI) In Personalized Nutrition Market Size Valuation Forecast: What Will the Market Be Worth by 2025?
In recent times, the market size for artificial intelligence (ai) in personalized nutrition has witnessed an exorbitant growth. The projected growth is from $3.66 billion in 2024 to $4.5 billion in 2025, exhibiting a compound annual growth rate (CAGR) of 23.1%. This significant growth during the historic period is due to the increase in personalized wellness solutions, a heightened awareness about nutrigenomics, the emergence of wearable health technology, a boost in the usage of smartphones, and an increase in disposable income.

Artificial Intelligence (AI) In Personalized Nutrition Market Size Forecast: What's the Projected Valuation by 2029?
In the coming years, the market for artificial intelligence (AI) in personal nutrition is anticipated to experience an explosive growth, skyrocketing to a value of $10.37 billion by 2029, with a compound annual growth rate (CAGR) of 23.2%. This rapid expansion during the forecast period can be traced back to escalating health tech investments, an increasing elderly population, a rise in lifestyle-related diseases, wider acceptance of AI for precision healthcare, and a surge in conditions such as diabetes and obesity. Key trends projected for the forecast period comprise the development of AI-driven nutrition platforms, the use of AI in genetic data analysis, the blending of AI with Internet of Things (IoT) devices, the application of predictive analytics for personalized supplement advice, the creation of novel AI algorithms for personalized meal planning, and the incorporation of cutting-edge technologies.

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What Are the Drivers Transforming the Artificial Intelligence (AI) In Personalized Nutrition Market?
The growth of the artificial intelligence (AI) in personalized nutrition market is anticipated to be fueled by the rise in diseases like obesity. Obesity, a health condition characterized by an unhealthy accumulation of body fat, has been on the rise due to various factors such as increased calorie consumption, sedentary lifestyles, processed food intake, socioeconomic factors, and environmental elements that encourage poor eating habits. The need for AI personalized nutrition arises in managing obesity. It assists in creating customized diet plans and interventions considering individual factors like genetics, lifestyle, and health condition. This process results in more successful, long-term weight management strategies and encourages a nutritious eating pattern. For example, during May 2024, the Office for Health Improvement and Disparities, a government body based in the UK, reported that nearly 64.0% of adults aged 18 and above in England during 2022-2023 were overweight or classified as obese. This is nearly analogous to the figure of 63.8% for the period 2021-2022. This increasing prevalence of obesity consequently propels the expansion of the AI in the personalized nutrition market.

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What Long-Term Trends Will Define the Future of the Artificial Intelligence (AI) In Personalized Nutrition Market?
Leading businesses in the personalized nutrition market utilizing artificial intelligence are concentrating on creating AI-driven food and recipe platforms for bespoke meal suggestions. These platforms harness the power of AI to tailor meal suggestions, recipes, and diet plans according to individual tastes, nutritional requirements, and health information. For example, in August 2023, consumer electronics producer Samsung Electronics, based in South Korea, rolled out Samsung Food, a personalized food and recipe platform powered by AI. Samsung Food offers a thorough personalized culinary experience by granting access to over 160,000 recipes and serving as a virtual aide for meal preparation and ingredient procurement. Its unique attribute is the facility to tailor recipes using its Food AI. This allows users to adjust meals to cater to dietary concerns, such as formulating vegan alternatives or balancing nutritional values. The platform also aids users in concocting fusion recipes, changing cooking difficulty, and getting AI-guided meal plan suggestions grounded in individual tastes. Furthermore, users can compile shopping lists from recipes and effortlessly purchase ingredients online from vendors.

Which Segments in the Artificial Intelligence (AI) In Personalized Nutrition Market Offer the Most Profit Potential?
The artificial intelligence (ai) in personalized nutritionmarket covered in this report is segmented -

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

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Which Firms Dominate the Artificial Intelligence (AI) In Personalized Nutrition Market by Market Share and Revenue in 2025?
Major companies operating in the artificial intelligence (AI) in personalized nutrition marker 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

Which Regions Offer the Highest Growth Potential in the Artificial Intelligence (AI) In Personalized Nutrition Market?
North America was the largest region in the artificial intelligence (AI) in personalized nutrition market in 2024. 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.

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