AI nutrition platform market seen reaching $4.1 billion by 2030

The Business Research Company says the AI-powered personalized nutrition and metabolomics platform market is set to keep expanding as consumers and health providers seek tailored wellness tools. The report points to rising obesity and diabetes, wearable data and precision medicine as key drivers, with Asia-Pacific expected to grow fastest.

Why it matters: - AI-powered nutrition platforms are moving from niche wellness tools into a broader preventive health market. - The segment’s growth reflects rising demand for personalized guidance that combines genetics, metabolism, lifestyle and dietary data. - The market’s expansion could shape how consumers, clinicians and wellness brands approach chronic disease prevention and daily nutrition planning.

What happened: - The Business Research Company published a report on the AI-powered personalized nutrition and metabolomics platform market for 2026–2035. - The market was valued at $1.69 billion in 2025 and is projected to reach $2.02 billion in 2026. - The report forecasts the market will reach $4.1 billion by 2030. - The report cites a 19.7% CAGR for 2025-2026 and 19.3% CAGR through 2030. - North America held the largest market share in 2025. - Asia-Pacific is expected to be the fastest-growing region during the forecast period. - The report covers Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, the Middle East and Africa. - A free sample and the full report are available through the company’s sample request page and the report page.

The details: - The market’s recent growth has been driven by obesity and diabetes, rising preventive healthcare awareness, basic dietary tracking apps, fitness and wellness sector growth and early nutrigenomics and metabolic health research. - The report says future growth will be supported by AI-based predictive health and nutrition analytics. - Precision medicine and personalized healthcare ecosystems are expanding. - Wearable biosensors and continuous monitoring devices are being integrated more widely. - Consumer demand for individualized wellness and diet plans is increasing. - Multi-omics data is being adopted to improve holistic health optimization. - The platforms use AI to interpret metabolomic, genetic, lifestyle and dietary information. - Metabolomics analyzes small molecules and metabolic changes in the body. - Machine learning and advanced analytics can identify metabolic patterns, nutrient deficiencies and potential health risks. - The report says this enables precise and actionable nutrition recommendations. - The report cites UK OHID data released in May 2025 showing 64.5% of adults 18 and over in England were overweight or obese in 2023-2024.

Between the lines: - The market thesis depends less on novelty and more on whether consumers and providers keep paying for measurable personalization. - Chronic disease rates and sedentary lifestyles are giving AI-based nutrition companies a clear use case tied to prevention, not just lifestyle optimization. - The regional growth split suggests mature markets are scaling first while Asia-Pacific may be entering a faster adoption phase.

What's next: - The report expects more product development around predictive analytics, continuous monitoring and multi-omics integration. - Companies in the space are likely to push harder into personalized healthcare and precision medicine use cases. - The Business Research Company added market attractiveness scoring, TAM analysis, company scoring matrix graphics, Excel forecasting dashboards, market hotspot infographics and updated trend analysis to its 2026 reports. - Further regional growth will likely track consumer demand, health-data integration and adoption of wearable devices.