Download Sample
Schedule a Meeting
Table of Content
NA : +1 804 441 9344
sales@towardsfnb.com
October 2025
The global AI in personalized nutrition market size reached at USD 4.15 billion in 2024 and is anticipated to increase from USD 4.89 billion in 2025 to an estimated USD 21.54 billion by 2034, witnessing a CAGR of 17.9% during the forecast period from 2025 to 2034. Market is driven by increasing consumer demand for tailored health solutions and rising chronic diseases.
| Study Coverage | Details |
| Growth Rate from 2025 to 2034 | CAGR of 17.9% |
| Market Size in 2025 | USD 4.89 Billion |
| Market Size in 2026 | USD 5.77 Billion |
| Market Size by 2034 | USD 21.54 Billion |
| Largest Market | North America |
| Base Year | 2024 |
| Forecast Period | 2025 to 2034 |
| Regions Covered | North America, Europe, Asia-Pacific, Latin America, and Middle East & Africa |
AI in personalized nutrition involves using artificial intelligence, machine learning, and big data analytics to provide tailored dietary recommendations, meal planning, and supplement guidance based on an individual’s genetics, microbiome, lifestyle, health status, and preferences. These solutions integrate data from wearable devices, mobile apps, clinical records, and nutritional assessments to optimize health outcomes, prevent lifestyle-related diseases, and improve wellness. The market is driven by increasing consumer awareness of health and wellness, rising demand for personalized healthcare, advancements in AI-powered nutrition platforms, and the growing adoption of digital health technologies.
New technological developments in AI within the personalized nutrition sector are transforming the field by combining and assessing varied, real-time information to provide adaptable dietary recommendations. Emerging technologies advance from broad recommendations to develop tailored and adaptable nutritional approaches for health management and disease prevention. Wearable gadgets and IoT sensors deliver the ongoing flow of information required for AI-powered feedback systems. Conversational AI, such as large language models (LLMs), can function as virtual nutritionists, providing tailored suggestions and round-the-clock assistance via text or voice.
North America Dominated the AI in Personalized Nutrition Market in 2024,
influenced by heightened health consciousness, escalating occurrence of lifestyle-associated chronic illnesses, greater acceptance of digital health solutions, and broader AI incorporation for tailored suggestions. Among these factors, the increasing prevalence of obesity and metabolic disorders is a significant motivator, leading consumers and healthcare professionals to pursue personalized nutrition solutions. Substantial funding and research efforts, especially in the United States, bolster the advancement of AI-driven platforms and tailored nutrition products. Progress in AI, encompassing machine learning and deep learning, enables the development of advanced applications that examine personal data elements such as genetics, lifestyle, and medical history to customize suggestions. Both B2B and B2C platforms are growing, with North America, especially the US, leading the personalized nutrition platform market.
U.S. AI In Personalized Nutrition Market Trends
The AI personalized nutrition sector in the U.S. is fueled by rising health consciousness, technological progress, and consumer interest in tailored solutions. Elements like the increase in preventive healthcare, management of chronic diseases, and the cost-effectiveness of genetic testing significantly contribute to market expansion. Moreover, creative products, progress in nutrigenomics and microbiome studies, regulatory backing, and trends favoring natural, organic, and sustainable goods continue to drive the market, fueled by heightened health awareness, the increase of lifestyle-related diseases, and an expanding middle class with greater disposable income.
Asia Pacific expects the significant growth during the forecast period. The increasing prevalence of chronic conditions like diabetes and heart disease is fueling the need for personalized nutrition in the Asia Pacific area. The growing elderly populations in nations such as Japan and South Korea are progressively emerging as a major factor in the personalized nutrition market. With an increasing number of people reaching their later years, there is a rising need for personalized dietary options that tackle health issues linked to aging, such as osteoporosis and cognitive deterioration. This expansion is mainly fueled by the heightened health awareness among consumers, the surge in online shopping, and the incorporation of AI technologies that improve customer experience and tailor product offerings.
India AI In Personalized Nutrition Market Trends
The increasing prevalence of diet-related health problems and non-communicable diseases (NCDs) like diabetes, obesity, and heart disease necessitates dietary approaches that genuinely align with cultural practices driving the demand for the AI in personalized nutrition. For instance, Smart Diet India is a dietary platform powered by machine learning, tailored specifically for Indian cuisine. In contrast to global diet applications that frequently fall short, this platform combines contemporary nutritional science with classic Indian cuisine and Ayurvedic knowledge.
Europe expects the notable growth in the market due to the rising health awareness, an aging demographic, and a significant focus on preventive healthcare. Progress in nutritional science and genetic testing is facilitating customized supplement options. Nations such as Germany and France play significant roles because of their substantial disposable incomes and the embrace of cutting-edge health products. Europe's demand is enhanced by a significant focus on health tech research and development, leading tech firms, and a cultural transition toward personal well-being.
Germany AI in Personalized Nutrition Market Trends
The market is experiencing swift expansion fueled by rising consumer interest in customized nutrition options, including personalized supplements. German consumers are emphasizing a proactive stance on health and wellness, with 60% making efforts to improve their health in the previous year. A primary driver for this change is the wish to feel good, which includes both mental and physical well-being. For example, Lykon firm provides AI-based customized nutrition derived from home blood and DNA testing. Clients gather blood or saliva samples, dispatch them to a laboratory, and obtain verified dietary suggestions through a personalized profile.
Which AI Technology Dominated the AI in Personalized Nutrition Market in 2024?
Machine learning / deep learning segment led the AI in personalized nutrition market in 2024, as they can effectively leverage structured data such as lab results, feeds from wearable devices, and dietary logs. Ongoing advancements in algorithms will enhance their performance accuracy with growing datasets and better data labeling, facilitating innovative strides in the actionable and tailored recommendations offered by these platforms. Deep learning models can forecast health results and suggesting individualized dietary advice.
Computer Vision Segment is Observed to Grow at the Fastest Rate During the Forecast Period.
As it facilitates precise and impartial assessment of food consumption through taking a picture of a meal, proving to be more effective and less subjective than conventional self-reporting techniques. This technology streamlines the monitoring of portion sizes and nutritional values, which is essential for developing efficient, tailored diet plans for weight management, disease prevention, and various health objectives. Other AI approaches do not have this immediate, real-time visual data gathering from a user's plate.
Which Application Segment Dominated the AI in Personalized Nutrition Market?
Personalized meal planning & recommendations segment held the dominating share of the market in 2024, diets such as keto, vegan, and gluten-free. Recent studies suggest that individuals' desire to remain healthy and fit has significantly increased, and today, many are looking to preserve their physical fitness by integrating nutritious eating habits into their routines amid busy city life. Consequently, nutrition apps are proliferating in the fitness industry to help individuals enhance their food consumption, monitor weight-related factors, and create meal schedules. AI tackles this by examining personal health information, dietary preferences, and objectives to develop tailored meal plans, monitor nutrient consumption, recommend recipes, and offer instant feedback, resulting in enhanced health results.
Microbiome & Genomics-Based Nutrition Segment is Seen to Grow at a Notable Rate During the Predicted Timeframe.
As it offers the most accurate and data-driven basis for customization. The gut microbiome, an intricate system of trillions of microorganisms, is crucial for digestion, nutrient uptake, immune control, mood regulation, metabolism, and disease avoidance. Every individual's microbiome varies and affects their reactions to foods. AI and machine learning allow for the analysis of extensive biological data from microbiome sequencing, enabling the generation of tailored, adaptive dietary recommendations. A variety of research and business achievements have shown the practical efficacy of AI-powered, microbiome-focused nutrition, reinforcing its market leadership.
Which Delivery Model Dominated the AI in Personalized Nutrition Market in 2024?
Mobile Apps & Cloud-Based Platforms segment dominated the market with the largest share in 2024. due to the widespread use of smartphones, the convenience and accessibility they offer, and the seamless integration with wearable devices and other health apps. Apps can easily integrate with popular wearable devices, enabling a more complete, connected, and data-rich experience for users. Cloud platforms provide the massive computing power and data storage needed for AI models to process vast amounts of user data, including genetic, biometric, and lifestyle information. Cloud-based AI can process data in real time to provide instant, customized recommendations and adapt plans as a user's needs change.
Wearable Device Integration Segment is Expected to Grow at the Fastest Rate in the Market During the Forecast Period.
Due to its provision of ongoing, real-time information required for developing adaptable, highly personalized, and responsive dietary suggestions. AI systems examine the extensive data gathered by wearables to develop more accurate and precise dietary suggestions. As health and fitness awareness grows, many consumers have embraced wearable technology. This has made the use of these devices for self-tracking commonplace, establishing a substantial, accessible, and eager user community for AI-driven individualized nutrition services.
Why did the Personalized Diet Plans Segment Dominated the AI in Personalized Nutrition Market in 2024?
Personalized diet plans segment held the largest share of the market in 2024, due to its alignment with increasing consumer demand for customized wellness, enhanced AI technology for accurate meal planning, and the seamless user experience it offers. The increasing occurrence of chronic diseases related to lifestyle, including obesity, diabetes, heart disease, and hypertension, is fueling the expansion of the personalized nutrition platform sector. For example, the World Obesity Federation states that around 3 billion individuals globally are dealing with overweight or obesity. Customized meal plans can connect with various technologies, including wearable gadgets, to offer ongoing tracking and immediate feedback. AI develops personalized meal plans that are regarded as more efficient than generic approaches and are essential to contemporary health and fitness practices.
Functional Foods & Supplements Segment is Observed to Grow at the Fastest Rate During the Forecast Period.
Due to the fact that these products provide a practical and efficient method to offer tailored health advantages that match consumer preferences for convenience, focused wellness, and comprehensive health. AI can evaluate personal information (such as genetics, habits, or health objectives) to suggest particular supplements or enriched foods, increasing the perceived worth and effectiveness of the items. Heightened consumer emphasis on preventative health, comprehensive wellness, and reducing chronic illnesses drives the need for tailored options such as functional food and supplements, which AI enhances in precision.
Nutrition 360 Suite
Welldoc®
Fay
By AI Technology
By Application
By Delivery Model
By Nutrition Type
By Region
October 2025
October 2025
October 2025
October 2025
Annual Access, Limitless Research! Unlock all market research reports with our annual subscription. Stay on top of market trends and crucial insights year-round!
2500+
Client Queries in 20235000+
Insights Published40+
Consulting Projects Per Year25+
Analysts