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February 2026
The U.S. AI in personalized nutrition market size reached at USD 1.47 billion in 2025 and is anticipated to increase from USD 1.73 billion in 2026 to an estimated USD 7.76 billion by 2035, witnessing a CAGR of 18.1% during the forecast period from 2026 to 2035. The market is burgeoning in recent periods due to high demand for tailored diet solutions and easy methods to cure chronic diseases with the help of biological data, with the help of genomics, microbiome, and wearables to provide accurate data and ideal monitoring.
| Study Coverage | Details |
| Growth Rate from 2026 to 2035 | CAGR of 18.1% |
| Market Size in 2026 | USD 1.73 Billion |
| Market Size in 2027 | USD 2.04 Billion |
| Market Size by 2035 | USD 7.76 Billion |
| Base Year | 2025 |
| Forecast Period | 2026 to 2035 |
AI helps to analyse and deeply study an individual’s extensive datasets of health, genetics, and lifestyle, to create a proper personalized diet chart. Such charts help an individual to manage health issues with ease and allow consumers to get rid of different types of health issues that have been damaging their health for a long time.
Advanced technology today is available in different types of applications, wearables, and clinical decision support systems. Technology also helps to provide the dos and don’ts to be followed in the personalized diet chart for easy health management and recovery from different types of diseases that impact health harshly.
AI plays a massive role in U.S. AI in personalized nutrition market as the technologically advanced method helps to deeply analyze and study an individual’s health data involving genetics, lifestyle, and health metrics to create a personalized nutrition plan with ease. Such plans have detailed steps and guidance to follow beyond general advice to get effective results in less time and get rid of chronic diseases with ease. ML also performs in-depth analysis to get insights, personalized diet plan formulation, and enhanced dietary assessment with the help of meal image analysis.
Data Collection and Analysis
Recommendation Engine
Product Development and Delivery
Consumer Engagement
Provider Landscape
The AI in personalized nutrition market in California is growing rapidly, driven by the state’s strong digital health ecosystem, high consumer awareness, and leadership in artificial intelligence innovation. California-based startups and health-tech companies are using AI, machine learning, and data analytics to deliver customized dietary recommendations based on individual health data, lifestyle patterns, genetics, and inputs from wearables and mobile apps. These solutions are increasingly applied in preventive healthcare, weight management, and chronic disease management such as diabetes and cardiovascular conditions.
The AI in personalized nutrition market in Texas is beginning to take shape as part of the broader U.S. expansion of AI-driven health and wellness technologies, with local companies and trends reflecting increasing interest in tailored dietary guidance and data-driven health optimization. Texas startups like Season Health, headquartered in the state, combine personalized nutrition advice from registered dietitians with meal planning and support for chronic conditions such as diabetes and kidney disease, using data insights to tailor recommendations and services to individual needs.
Why did the Machine Learning/Predictive Analytics Segment Dominated the U.S. AI in Personalized Nutrition Market In 2025?
The machine learning/predictive analytics segment led the U.S. AI in personalized nutrition market as the segment involves collecting health data of an individual related to dietary habits, genetic information, and other health metrics. The data allows AI to prepare a personalized and tailored nutrition and meal chart to target the health issues with ease and get effective remedies for recovery from chronic diseases.
The Genomics/Microbiome-Based AI Tools Segment is Expected to Grow in the Foreseen Period
As the segment highlights the importance of AI in understanding complex health data and suggests an ideal nutrition and meal plan to an individual. Such tailored charts help to focus on health goals and lower the harsh impact of any major disease with ease. AI analyzes genetic information for better health management in case of chronic health issues, such as cardiovascular issues or diabetic problems.
Which Application Held The Largest Share in U.S. AI in Personalized Nutrition Market in 2025?
The personalized meal planning and diet recommendations segment led the U.S. AI in personalized nutrition market, as AI uses ML and various other types of tools to get detailed analytics of an individual’s health data in depth. It helps in the preparation of tailored nutrition and diet charts, which are helpful to get effective results and achieve health goals with ease. It also helps to lower the side effects of prevailing health issues.
The Chronic Disease Management Segment is Expected to Grow in the Foreseeable Period
Due to the high demand for customized and tailored nutrition charts by consumers. Such charts made by AI involve a deep study of a consumer’s health data related to lifestyle, genomics, and other medical data, which is helpful to curate the ideal nutrition chart that helps lower the impact of chronic diseases. Advanced technology of wearables also helps to monitor health data and provide the right suggestions for effective results.
Why did the Software And Platform Solutions Segment Dominated the U.S. AI in Personalized Nutrition Market In 2025?
The software and platform solutions segment led the U.S. AI in personalized nutrition market as the segment involves solutions for meal planning, nutrient analysis, personalized supplementation, allergen detection, and health monitoring. Such platforms integrate with wearables with advanced technology. Such gadgets help to monitor health continuously and allow consumers to make the necessary changes to shifts as per the current health data for effective outcomes.
Integration with Wearables and IoT Devices Segment is Observed to Grow in the Foreseen Period
As such technologically advanced gadgets help AI to get real-time data collection, advanced analysis, and adaptive dietary guidance, further fueling the growth of market. Customization and tailored plans are some of the biggest factors and advantages of the market, helpful for its growth.
Which End User Dominated the U.S. AI in Personalized Nutrition Market in 2025?
Individual consumers segment dominated the U.S. AI in personalized nutrition market due to high demand by consumers for tailored nutrition plans. AI, with the help of machine learning and other advanced tools, helps to analyse the current health data of an individual and suggest ideal nutrition and diet plans. Predictive analysis also helps consumers to understand the side effects of any unhealthy habit of food consumption in the future, further fueling the market’s growth.
The Healthcare Providers and Nutritionists Segment is Expected to Grow in the Foreseeable Period
Because the segment highlights the importance of AI for the healthcare industry. Technologically advanced methods help nutritionists to prepare an ideal nutrition and meal chart for an individual as per their current health condition and requirements. The segment also enhances the importance of AI to enhance ML, NLP, and deep learning, for better customized recommendations.
Why did the Cloud-Based Solutions Segment Dominated the U.S. AI in Personalized Nutrition Market in 2025?
The cloud-based solutions segment dominated the U.S. AI in personalized nutrition market as the segment focuses on data derived from wearables, health apps, and other user inputs for tailored plans and customized nutrition products and supplements. Such platforms use the health data of an individual related to microbiome, lifestyle habits, and dietary habits, for a deeper understanding and an ideal nutrition plan. It helps to get effective results in less time and lowers the prevailing health issues as well.
The on-premises solution segment is expected to grow in the foreseen period as the segment works on the platforms deployed in an organization’s own infrastructure. The segment serves end-users such as healthcare providers and food manufacturers.
Which Distribution Channel Dominated the U.S. AI in Personalized Nutrition Market in 2025?
The direct-to-consumer platforms segment dominated the U.S. AI in personalized nutrition market as the segment uses AI-powered platforms and mobile apps to provide customized health plans, food logging, and dietary recommendations, which is helpful for the growth of the market. The health data derived from wearables is highly utilized in such scenarios. The segment also observed growth due to high demand for personalized data and health charts for real-time monitoring and accurate details for better health management.
The B2B Partnerships Segment is Expected to Grow in the Foreseeable Period
As the segment allows companies to get access to huge consumer bases and new data streams. It helps companies to enhance their customization recommendations and provide the ideal plans to different types of consumers, further helping the growth of the market. Such partnerships are also helpful to overcome the high costs of biomarker testing and drive innovation.
Why did the Lifestyle and Activity-Based Nutrition Segment Dominated the U.S. AI in Personalized Nutrition Market in 2025?
The lifestyle and activity-based nutrition segment led the U.S. AI in personalized nutrition market, as the segment highlights the lifestyle, daily activities, and routine of an individual to get complete health data and analytics. The activity and sleep data collected from different types of health applications and wearables help to improve the customization process. AI algorithms also process data involving body metrics, fitness goals, and medical history, for better and effective plans and results.
The Microbiome-Based Nutrition Segment is Expected to Grow in the Foreseen Period
As the segment focuses on analyzing complex data from gut microbiome sequencing, genetic tests, and wearables, to get ideal personalized nutrition charts for the growth of the market. Such diets directly improve gut health, enhance beneficial microbial diversity, and manage various digestive conditions.
By Technology / Platform
By Application
By Service Type
By End-User
By Deployment Mode
By Distribution Channel
By Personalization Basis
February 2026
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February 2026