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What Is the Expected CAGR for the Artificial Intelligence (AI) In Personalized Nutrition Market Through 2025?
The personalized nutrition market, powered by artificial intelligence (AI), has seen significant expansion lately. It is poised for further growth, with projections suggesting its current size of $3.66 billion in 2024 will increase to $4.52 billion in 2025, reflecting a compound annual growth rate (CAGR) of 23.7%. Factors responsible for this impressive historical growth include the popularity of tailored wellness solutions, a heightened understanding of nutrigenomics, the proliferation of wearable health technology, the prevalence of smartphones, and an increase in disposable income.
What’s the Projected Size of the Global Artificial Intelligence (AI) In Personalized Nutrition Market by 2029?
The projected growth for the artificial intelligence (AI) sector in personalized nutrition is looking substantial with an estimation that it could reach $10.5 billion by 2029, boasting a compound annual growth rate (CAGR) of 23.4%. This projection is due to several factors, such as increased investment in health tech innovation, aging populations, rising incidence of lifestyle diseases, increased use of AI for precision medicine and the increasing prevalence of conditions like obesity and diabetes. Key trends that could shape this growth during the forecast period encompass the innovation of AI-driven nutritional platforms, AI’s utilization for genetic data analysis, the merging of AI with Internet of Things (IoT) devices, the use of predictive analysis for personalized supplement recommendations, the innovation of AI algorithms specifically for personalized meal planning, and the broad adoption of avant-garde technologies.
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Top Growth Drivers in the Artificial Intelligence (AI) In Personalized Nutrition Industry: What’s Accelerating the Market?
The surge in health conditions like obesity is anticipated to fuel the expansion of the artificial intelligence (AI) in personalized nutrition market. Obesity, a health issue marked by excessive body fat accumulation that could potentially harm health, is on the upswing due to a mix of factors such as increased calorie intake, physical inactivity, processed food consumption, socioeconomic impacts, and environmental elements that encourage unhealthy dietary habits. AI personalized nutrition is critical in dealing with obesity as it facilitates the creation of custom nutritional plans and interventions on the basis of individual elements like genetics, lifestyle, and health status. This offers more viable and sustainable strategies for weight control and encourages healthier eating practices. For instance, the Office for Health Improvement and Disparities, a government agency based in the UK, noted in May 2024 that approximately 64.0% of English adults aged 18 and above were considered overweight or suffering from obesity in 2022 to 2023. This number is almost identical to the 63.8% documented during the 2021-2022 period. Therefore, the rise in obesity instances contributes to the growth of the AI in personalized nutrition market.
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What Trends Will Shape the Artificial Intelligence (AI) In Personalized Nutrition Market Through 2029 and Beyond?
Leading organizations operating within the artificial intelligence in personalized nutrition sector are concentrating their efforts on the creation of AI-enabled food and recipe platforms for personalized meal suggestions. This kind of platform harnesses the power of artificial intelligence to construct tailored meal guidance, recipes, and diet plans, taking into account individual taste, nutritional requirements, and health metrics. For example, in August 2023, Samsung Electronics, a consumer electronics manufacturer based in South Korea, unveiled Samsung Food, an AI-personalized food and recipe platform. Samsung Food offers an inclusive, custom food experience by granting access to more than 160,000 recipes and functioning as a virtual aid for meal preparation and ingredient procurement. Its distinctive feature is the ability to personalize recipes via its Food AI, allowing users to adjust dishes to satisfy dietary needs, such as making vegan alternatives or modifying nutritional balances. It further gives users the ability to create fusion recipes, alter cooking complexity, and receive AI-informed meal plan tips based on individual preferences. The platform even provides the feature for users to draw up shopping lists from recipes and effortlessly purchase ingredients online from retailers.
What Are the Main Segments 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 Top Companies are Driving Growth in the Artificial Intelligence (AI) In Personalized Nutrition Market?
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 Will Dominate the Artificial Intelligence (AI) In Personalized Nutrition Market Through 2029?
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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