Ai In Personalized Nutrition Market Size, Share Outlook, Growth Analysis Report and Forecast Trends 2026-2030

The AI in Personalized Nutrition market encompasses software platforms, applications, and services that use artificial intelligence to generate customized dietary recommendations based on individual health data, genetic profiles, and lifestyle factors. The market reached approximately $1.63 billion in 2025 and has grown from early-stage consumer apps to include enterprise solutions for healthcare providers, food manufacturers, and wellness programs, now valued at an estimated $2.073 billion in 2026. With increasing integration of wearable devices and genomic testing, AI-driven nutrition platforms are becoming more sophisticated and widely adopted.

Rising prevalence of chronic diseases such as diabetes, obesity, and cardiovascular conditions has created strong demand for precision nutrition solutions that can help prevent and manage these conditions. Consumers are increasingly seeking personalized health interventions, supported by the growing availability of at-home DNA testing kits, wearable health trackers, and mobile health applications that generate continuous streams of personal health data.

The market is segmented by AI technology type, including machine learning, deep learning, natural language processing, and predictive analytics, with machine learning currently dominating. Deployment models include cloud-based and on-premises solutions, while applications span nutrigenomics, dietary supplements, medical nutrition, and sports nutrition. North America leads the market due to advanced healthcare infrastructure and high consumer technology adoption, while Asia-Pacific is expected to grow rapidly driven by rising health awareness and large population bases.

What are the recent trends and outlook?

The convergence of AI, genomics, and digital health is expected to accelerate market growth, with increasing integration of real-time biometric data from wearables enabling truly adaptive nutrition recommendations. Regulatory frameworks are evolving to address data privacy and the clinical validation of AI-driven nutrition claims. As healthcare systems increasingly recognize the value of preventive nutrition in reducing long-term medical costs, AI in personalized nutrition is positioned for sustained expansion beyond 2035.