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Key Trends Shaping the Future Artificial Intelligence (AI) In Personalized Nutrition Market From 2025-2034: AI-Powered Innovations In Personalized Nutrition
Artificial Intelligence (AI) In Personalized Nutrition Market Size
The personalized nutrition market, powered by artificial intelligence (AI), has experienced significant expansion in recent years. This market, valued at $3.66 billion in 2024, is projected to increase to $4.52 billion by 2025, equating to an impressive compound annual growth rate (CAGR) of 23.7%. This historical increase can be linked to an upsurge in personalized wellness options, growing stakeholder awareness of nutrigenomics, emergence of wearable health technology, proliferation of smartphones, and an increase in disposable income.
The market size for artificial intelligence (AI) in personalized nutrition is predicted to experience massive growth in the upcoming years, escalating to $10.5 billion by 2029 with a compound annual growth rate (CAGR) of 23.4%. The expected growth for the forecasted period is due to a surge in health tech investment, an increasing aging population, a rise in lifestyle-related diseases, a growing utilization of AI for precision medicine, as well as a surge in conditions like diabetes and obesity. Foreseen trends for this period encompass the innovation of AI-driven nutrition platforms, the application of AI in genetic data analysis, the combination of AI with Internet of Things (IoT) devices, predictive analytics for individualized supplement recommendations, the development of AI algorithms for tailored meal preparation, and the adoption of cutting-edge technologies.
What Are the Forces Behind the Rapid Growth of the Artificial Intelligence (AI) In Personalized Nutrition Market?
The surge in illnesses like obesity is anticipated to fuel the expansion of artificial intelligence (AI) in the personalized nutrition sector. Characterized by excessive fat accumulation that can compromise health, obesity is on the rise due in part to factors such as high calorie intake, sedentary behavior, processed food intake, social and economic influences, and environmental facets that foster unhealthy dietary habits. Personalized nutrition, powered by AI, is crucial for obesity management, empowering the creation of customized diet plans and interventions influenced by individual aspects such as genetics, lifestyle, and overall health. These personalized strategies facilitate more efficient and enduring weight management techniques and inspire healthier eating behaviors. The Office for Health Improvement and Disparities, a UK government department, reported in May 2024 that in the period of 2022 to 2023, about 64.0% of adults aged 18 and above in England were deemed overweight or dealing with obesity. This is relatively similar to the 63.8% reported in the 2021-2022 period. As a result, the escalating obesity prevalence fuels the expansion of artificial intelligence (AI) in the personalized nutrition market.
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Who Are the Dominant Companies Influencing Artificial Intelligence (AI) In Personalized Nutrition Market Trends?
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
How Is the Artificial Intelligence (AI) In Personalized Nutrition Market Evolving?
A significant number of firms in the personalized nutrition AI market are focusing their efforts on creating AI-driven food and recipe platforms that provide tailored meal suggestions. These platforms harness the power of AI to create individualized meal plans, recipes and nutritional advice based on personal preferences, health data, and unique dietary needs. For example, in August 2023, Samsung Electronics, a consumer electronics manufacturer from South Korea, unveiled Samsung Food, a bespoke AI-based food and recipe platform. This platform enhances the food experience by offering users access to over 160,000 recipes and serves as a virtual aide for meal planning and sourcing ingredients. The standout feature is its Food AI that allows users to tailor recipes based on their dietary requirements, including making vegan alternatives or adjusting nutritional balance. Furthermore, the platform lets users create fusion recipes, change the cooking difficulty level and provides AI-informed meal suggestions derived from individual preferences. Users also have the provision to produce shopping lists from the selected recipes and effortlessly purchase ingredients online from vendors.
What Are the Different Segmentations in the Artificial Intelligence (AI) In Personalized Nutrition Market?
The artificial intelligence (AI) in personalized nutrition market 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 Region Is at the Forefront of 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.
What Is Covered In The Artificial Intelligence (AI) In Personalized Nutrition Global Market Report?
- Market Size Analysis: Analyze the Artificial Intelligence (AI) In Personalized Nutrition Market size by key regions, countries, product types, and applications.
- Market Segmentation Analysis: Identify various subsegments within the Artificial Intelligence (AI) In Personalized Nutrition Market for effective categorization.
- Key Player Focus: Focus on key players to define their market value, share, and competitive landscape.
- Growth Trends Analysis: Examine individual growth trends and prospects in the Market.
- Market Contribution: Evaluate contributions of different segments to the overall Artificial Intelligence (AI) In Personalized Nutrition Market growth.
- Growth Drivers: Detail key factors influencing market growth, including opportunities and drivers.
- Industry Challenges: Analyze challenges and risks affecting the Artificial Intelligence (AI) In Personalized Nutrition Market.
- Competitive Developments: Analyze competitive developments, such as expansions, agreements, and new product launches in the market.
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