AI in Personalized Nutrition Market Booms $ 4.26Bn by 2032 | Nestlé S.A, DNAfit Life Sciences Ltd., Nutrigenomix Inc., Instacart,

Global AI in Personalized Nutrition Market size reached US$ 1.12 billion in 2024 and is expected to reach US$ 4.26 billion by 2032, growing with a CAGR of 18.19% As per DataM Intelligence Database during the forecast period 2025-2032.

The AI in Personalized Nutrition Market Report by DataM Intelligence delivers comprehensive insights into key market trends, growth drivers, and emerging challenges. With a focus on providing actionable intelligence, DataM Intelligence enables businesses to make informed strategic decisions and maintain a competitive edge. Leveraging both qualitative and quantitative research methodologies, the report offers in-depth analysis to help clients navigate complex market dynamics, identify new opportunities, and accelerate growth in today's rapidly evolving global landscape.

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AI in personalized nutrition refers to the use of artificial intelligence and machine learning to analyze an individual's genetic profile, health data, dietary habits, and lifestyle to deliver tailored nutrition recommendations. This approach enables companies and healthcare providers to create customized diet plans, supplement regimens, and smart food products, improving health outcomes, enhancing preventive care, and boosting consumer engagement. The growing demand for precision health and wearable integration is accelerating this market.

List of the Market Players in the AI in Personalized Nutrition Market:

Nestlé S.A., EatLove, Inc., Season Health, Inc., Hungryroot, Inc., Nutrium, Lda., DNAfit Life Sciences Ltd., Nutrigenomix Inc., Instacart, Weight Watchers International, Inc., and Daily Harvest, Inc.

Industry News:

In October 2023, AHARA, a leader in precision nutrition and the only evidence-based, food-first nutrition platform, launched a free version of its personalized nutrition plan. This initiative aims to make customized, preventative health solutions more accessible, empowering individuals to take control of their well-being through a personalized, food-first approach. The launch underscores AHARA's ongoing commitment to advancing health equity through evidence-based nutrition.

Research Methodlogy:
The global AI in Personalized Nutrition Market research report utilizes both primary and secondary data sources to provide a well-rounded analysis. Throughout the research process, various influential factors are assessed-including regulatory frameworks, current market dynamics, historical trends, competitive landscape, technological progress, upcoming innovations, and related industry developments. The report also considers market volatility, growth prospects, potential barriers, and emerging challenges to offer a comprehensive view of the market environment.

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Segment Covered in the AI in Personalized Nutrition Market:

By Technology: AI and Machine Learning, Natural Language Processing (NLP), Computer Vision, Predictive Analytics, Deep Learning, Others

By Deployment Mode: Cloud-Based AI Solutions, On-Premise AI Solutions

By End-User: Fitness Enthusiasts , Fitness and Wellness Centers, Healthcare Providers, Others

By Application: Meal Planning and Recommendations, Nutrient Analysis, Personalized Supplementation, Allergen and Sensitivity Detection, Health Monitoring, Others

Regional Analysis for AI in Personalized Nutrition Market:

⇥ North America (U.S., Canada, Mexico)

⇥ Europe (U.K., Italy, Germany, Russia, France, Spain, The Netherlands and Rest of Europe)

⇥ Asia-Pacific (India, Japan, China, South Korea, Australia, Indonesia Rest of Asia Pacific)

⇥ South America (Colombia, Brazil, Argentina, Rest of South America)

⇥ Middle East & Africa (Saudi Arabia, U.A.E., South Africa, Rest of Middle East & Africa)

Benefits of the Report:

➡ A descriptive analysis of demand-supply gap, market size estimation, SWOT analysis, PESTEL Analysis and forecast in the global market.

➡ Top-down and bottom-up approach for regional analysis

➡ Porter's five forces model gives an in-depth analysis of buyers and suppliers, threats of new entrants & substitutes and competition amongst the key market players.

➡ By understanding the value chain analysis, the stakeholders can get a clear and detailed picture of this Market

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People Also Ask:

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➤ Which product types and end-user segments show the most growth potential and market share?
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➤ What sales, marketing, and distribution channels are commonly used?

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