AI in Personalized Nutrition Market to Reach USD 4.26 Billion by 2032

According to DataM Intelligence, the AI in Personalized Nutrition Market Size reached USD 1.12 billion in 2024 and is forecast to grow to USD 4.26 billion by 2032, expanding at a CAGR of 18.19% during 2025–2032.

The sharp rise is propelled by rapid adoption of AI-driven dietary algorithms, automated nutrient analysis, precision supplementation engines, and consumer demand for real-time dietary insights linked to genetics, microbiome, metabolic biomarkers, and lifestyle data.

AI-driven nutrition systems-powered by deep learning, predictive analytics, and natural language processing are reshaping the global nutrition industry by offering 70–90% more precise recommendations than generalized diet frameworks.

Market Growth Drivers: Acceleration in Smart Nutrition

DataM Intelligence highlights several measurable dynamics fueling market growth:

• Over 52% of global nutrition app users now prefer AI-powered platforms for daily dietary planning and macronutrient optimization.
• AI adoption in nutrition increased 34% YoY (2023–2024), with AI logs analyzing more than 1.5 billion meals/month globally across leading platforms.
• Personalized supplementation demand rose 22% YoY, driven by algorithm-based micronutrient profiling.
• Integration of metabolic wearables (CGMs, microbiome trackers, biosensors) increased 44% YoY, feeding real-time data into AI nutrition engines.
• AI-enabled allergen and sensitivity detection reduced dietary error-matches by over 60%, significantly improving compliance.
• Digital grocery automation (AI-based food selection and meal-kits) grew 28% YoY, with embedded nutrition algorithms accounting for a large portion of consumer purchases.
• AI & Machine Learning accounted for the largest share in 2024-approximately 38% (USD 425 million)-driven by data-driven meal personalization and behavior analytics.
• Predictive Analytics captured 22% (USD 246 million) due to rising integration with metabolic wearables.
• Natural Language Processing (NLP) held 15% (USD 168 million), enabling chatbot-driven nutrition coaching at scale.
• Deep Learning, the fastest-growing subsegment (CAGR 20%), is projected to surpass USD 750 million by 2032 due to adoption in microbiome prediction and nutrient absorption modeling.
• Computer Vision (12%) supports real-time plate recognition, logging over 250 million food images per month across major platforms.
• Individuals/Fitness Enthusiasts represent the largest segment at 46% share (USD 515 million), driven by subscription apps and D2C genetic kits.
• Meal Planning & Recommendations holds 34% share (USD 380 million)-driven by automated recipe engines analyzing macronutrients and biomarkers.
• Nutrient Analysis represents 25% (USD 280 million); this segment is expected to surpass USD 1 billion by 2032.

In the U.S. specifically, over 63 million Americans use AI-powered health and nutrition platforms. Healthcare integration of AI nutrition has grown 38% YoY as providers adopt dietary intelligence for obesity, diabetes, and cardiovascular care, and AI grocery-assist platforms now account for 18% of U.S. digital grocery spend.

These trends demonstrate that AI-based personalization is shifting from premium products to mainstream nutrition and wellness workflows. View the full report at DataM Intelligence: https://www.datamintelligence.com/customize/ai-in-personalized-nutrition-market

About DataM Intelligence

DataM Intelligence is a renowned provider of market research, delivering deep insights through pricing analysis, market share breakdowns, and competitive intelligence. The company specializes in strategic reports that guide businesses in high-growth sectors such as nutraceuticals and AI-driven health innovations. Learn more at datamintelligence.com.