Personalized Nutrition Platform Market Size is valued at US$ 910.0 Mn in 2024 and is predicted to reach US$ 2,008.8 Bn by the year 2034 at an 8.5% CAGR during the forecast period for 2025-2034.
Personalized nutrition platforms are digital solutions that combine data analytics, artificial intelligence (AI), and biotechnology to deliver customized dietary recommendations based on an individual’s genetics, microbiome, lifestyle, and health goals. These platforms integrate information from wearable devices, mobile apps, and diagnostic tests to create adaptive nutrition plans that enhance wellness, prevent disease, and improve metabolic health.
By shifting from generalized diets to precision-based guidance, personalized nutrition empowers users to make informed food choices. Growing awareness of preventive healthcare, digital health adoption, and the rising prevalence of lifestyle-related disorders are driving rapid market growth worldwide.
The growing need for platforms that offer data-driven is another element propelling the personalized nutrition platform market. The personalized nutrition platform market is expanding because of increasing awareness among customers regarding the benefits of customized dietary solutions due to the rising burden of health issues, and more people are adopting to follow customized nutrition plans. As per WHO, the World Obesity Federation states that more than 3 billion individuals suffer from overweight or obesity across the world.
In addition, around 35 million children under five were overweight in 2024. However, ambiguous regulations for algorithm openness and health claims across jurisdictions are some of the obstacles impeding the growth of the personalized nutrition platform sector. Over the course of the forecast period, opportunities for the personalized nutrition platform market will be created by specific shift toward proactive wellness and precision nutrition.
Some of the Key Players in Personalized Nutrition Platform Market:
· Vitamin Packs, Inc.
· ZOE Limited
· Viome Life Sciences, Inc.
· DNAfit
· EatLove
· Heali AI Corp
· BetterMeal AI
· Culina Health
· Superpower Health, Inc.
· Fay
· HealthifyMe Wellness Private Limited
· Nestlé
· Verdi Food B.V.
· Others
The personalized nutrition platform market is segmented by offering, delivery mode, application, and end use. By offering, the market is segmented into software/platform and services. By delivery mode, the market is segmented into B2C (direct-to-consumer), B2B2C / channel partnerships, and B2B (enterprise). By application, the market is segmented into weight management & body composition, chronic disease management (diabetes, cardiovascular risk), sports & performance nutrition, allergy & intolerance management, general wellness / preventive health, and maternal & infant nutrition. By end use, the market is segmented into healthcare professionals & clinics, fitness & wellness chains / gyms, employers / corporate wellness, and others.
The software/platform segment led the personalized nutrition platform market in 2024. This convergence is fueled by rising adoption of digital health tools and AI-based solutions. In addition, factors such as AI-driven analytics, real-time personalization engines, integration with wearables and health apps, mobile accessibility, advanced data visualization, and interoperability with electronic health records enable scalable, user-friendly, and outcome-focused nutrition management, making software the backbone of personalized nutrition platforms.
The B2C (Direct-to-Consumer) segment represents the largest and fastest-growing delivery mode in the personalized nutrition platform market. This growth is fueled by increasing consumer demand for individualized wellness solutions and the convenience of accessing personalized nutrition services through mobile applications and online subscription models. The ability to obtain customized diet plans directly, without intermediaries, enhances accessibility and engagement. Additionally, the rising adoption of at-home testing kits for nutritional assessment and the growing influence of digital health marketing and brand-driven engagement strategies are further accelerating the expansion of B2C platforms in the personalized nutrition ecosystem.
North America dominated the personalized nutrition platform market in 2024. The United States is at the forefront of this expansion. This is due to rising prevalence of chronic diseases associated with lifestyle choices, increased usage of digital health devices, increased awareness of health issues, and expanding integration of AI for customized recommendations. One of the main reasons why consumers and medical experts are searching for specialized nutrition solutions is the rising prevalence of obesity and metabolic disorders.
The Asia-Pacific region is experiencing the fastest and most robust expansion in the personalized nutrition platform market, driven by growing consumer demand for data-driven and customized wellness solutions. Rising health awareness, an increasing prevalence of obesity and metabolic disorders, and rapid digital transformation are key contributors to this growth. Countries such as China, India, Japan, and Australia are witnessing widespread adoption due to the integration of AI-powered nutrition insights, mobile application accessibility, and culturally tailored dietary programs, making personalized nutrition more relevant and scalable across diverse population groups.
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Report Attribute |
Specifications |
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Market Size Value In 2024 |
USD 910.0 Mn |
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Revenue Forecast In 2034 |
USD 2,008.8 Mn |
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Growth Rate CAGR |
CAGR of 8.5% from 2025 to 2034 |
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Quantitative Units |
Representation of revenue in US$ Bn and CAGR from 2025 to 2034 |
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Historic Year |
2021 to 2024 |
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Forecast Year |
2025-2034 |
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Report Coverage |
The forecast of revenue, the position of the company, the competitive market structure, growth prospects, and trends |
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Segments Covered |
By Offering, By Delivery Mode, By Application, By End Use, and By Region |
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Regional Scope |
North America; Europe; Asia Pacific; Latin America; Middle East & Africa |
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Country Scope |
U.S.; Canada; Germany; The UK; France; Italy; Spain; Rest of Europe; China; Japan; India; South Korea; Southeast Asia; Rest of Asia Pacific; Brazil; Argentina; Mexico; Rest of Latin America; GCC Countries; South Africa; Rest of the Middle East and Africa |
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Competitive Landscape |
Vitamin Packs, Inc., ZOE Limited, Viome Life Sciences, Inc., DNAfit, EatLove, Heali AI Corp, BetterMeal AI, Culina Health, Superpower Health, Inc., Fay, HealthifyMe Wellness Private Limited, Nestlé, and Verdi Food B.V. |
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Customization Scope |
Free customization report with the procurement of the report, Modifications to the regional and segment scope. Geographic competitive landscape. |
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Pricing and Available Payment Methods |
Explore pricing alternatives that are customized to your particular study requirements. |
Chapter 1. Methodology and Scope
1.1. Research Methodology
1.2. Research Scope & Assumptions
Chapter 2. Executive Summary
Chapter 3. Global Personalized Nutrition Platform Market Snapshot
Chapter 4. Global Personalized Nutrition Platform Market Variables, Trends & Scope
4.1. Market Segmentation & Scope
4.2. Drivers
4.3. Challenges
4.4. Trends
4.5. Investment and Funding Analysis
4.6. Porter's Five Forces Analysis
4.7. Incremental Opportunity Analysis (US$ MN), 2025-2034
4.8. Global Personalized Nutrition Platform Market Penetration & Growth Prospect Mapping (US$ Mn), 2024-2034
4.9. Competitive Landscape & Market Share Analysis, By Key Player (2024)
4.10. Use/impact of AI on Personalized Nutrition Platform Market Industry Trends
Chapter 5. Personalized Nutrition Platform Market Segmentation 1: By Offering, Estimates & Trend Analysis
5.1. Market Share by Offering, 2024 & 2034
5.2. Market Size (Value (US$ Mn) & Forecasts and Trend Analyses, 2021 to 2034 for the following Offering:
5.2.1. Software/Platform
5.2.2. Services
Chapter 6. Personalized Nutrition Platform Market Segmentation 2: By Application, Estimates &
Trend Analysis
6.1. Market Share by Application, 2024 & 2034
6.2. Market Size (Value (US$ Mn) & Forecasts and Trend Analyses, 2021 to 2034 for the following
Application:
6.2.1. Weight management & body composition
6.2.2. Chronic disease management (diabetes, cardiovascular risk)
6.2.3. Sports & performance nutrition
6.2.4. Allergy & intolerance management
6.2.5. General wellness / preventive health
6.2.6. Maternal & infant nutrition
Chapter 7. Personalized Nutrition Platform Market Segmentation 3: By Delivery Mode, Estimates & Trend Analysis
7.1. Market Share by Delivery Mode, 2024 & 2034
7.2. Market Size (Value (US$ Mn) & Forecasts and Trend Analyses, 2021 to 2034 for the following Delivery Mode:
7.2.1. B2C (Direct-to-consumer)
7.2.2. B2B2C / Channel partnerships
7.2.3. B2B (Enterprise)
Chapter 8. Personalized Nutrition Platform Market Segmentation 4: By End‑User, Estimates & Trend Analysis
8.1. Market Share by End‑User, 2024 & 2034
8.2. Market Size (Value (US$ Mn) & Forecasts and Trend Analyses, 2021 to 2034 for the following End‑User:
8.2.1. Healthcare professionals & clinics
8.2.2. Fitness & wellness chains / gyms
8.2.3. Employers / Corporate wellness
8.2.4. Others
Chapter 9. Personalized Nutrition Platform Market Segmentation 5: Regional Estimates & Trend Analysis
9.1. Global Personalized Nutrition Platform Market, Regional Snapshot 2024 & 2034
9.2. North America
9.2.1. North America Personalized Nutrition Platform Market Revenue (US$ Mn) Estimates and Forecasts by Country, 2021-2034
9.2.1.1. US
9.2.1.2. Canada
9.2.2. North America Personalized Nutrition Platform Market Revenue (US$ Mn) Estimates and Forecasts by Offering, 2021-2034
9.2.3. North America Personalized Nutrition Platform Market Revenue (US$ Mn) Estimates and Forecasts by Application, 2021-2034
9.2.4. North America Personalized Nutrition Platform Market Revenue (US$ Mn) Estimates and Forecasts by Delivery Mode, 2021-2034
9.2.5. North America Personalized Nutrition Platform Market Revenue (US$ Mn) Estimates and Forecasts by End‑User, 2021-2034
9.3. Europe
9.3.1. Europe Personalized Nutrition Platform Market Revenue (US$ Mn) Estimates and Forecasts by Country, 2021-2034
9.3.1.1. Germany
9.3.1.2. U.K.
9.3.1.3. France
9.3.1.4. Italy
9.3.1.5. Spain
9.3.1.6. Rest of Europe
9.3.2. Europe Personalized Nutrition Platform Market Revenue (US$ Mn) Estimates and Forecasts by Offering, 2021-2034
9.3.3. Europe Personalized Nutrition Platform Market Revenue (US$ Mn) Estimates and Forecasts by Application, 2021-2034
9.3.4. Europe Personalized Nutrition Platform Market Revenue (US$ Mn) Estimates and Forecasts by Delivery Mode, 2021-2034
9.3.5. Europe Personalized Nutrition Platform Market Revenue (US$ Mn) Estimates and Forecasts by End‑User, 2021-2034
9.4. Asia Pacific
9.4.1. Asia Pacific Personalized Nutrition Platform Market Revenue (US$ Mn) Estimates and Forecasts by Country, 2021-2034
9.4.1.1. India
9.4.1.2. China
9.4.1.3. Japan
9.4.1.4. Australia
9.4.1.5. South Korea
9.4.1.6. Hong Kong
9.4.1.7. Southeast Asia
9.4.1.8. Rest of Asia Pacific
9.4.2. Asia Pacific Personalized Nutrition Platform Market Revenue (US$ Mn) Estimates and Forecasts by Offering, 2021-2034
9.4.3. Asia Pacific Personalized Nutrition Platform Market Revenue (US$ Mn) Estimates and Forecasts by Application, 2021-2034
9.4.4. Asia Pacific Personalized Nutrition Platform Market Revenue (US$ Mn) Estimates and Forecasts by Delivery Mode, 2021-2034
9.4.5. Asia Pacific Personalized Nutrition Platform Market Revenue (US$ Mn) Estimates and Forecasts by End‑User, 2021-2034
9.5. Latin America
9.5.1. Latin America Personalized Nutrition Platform Market Revenue (US$ Mn) Estimates and Forecasts by Country, 2021-2034
9.5.1.1. Brazil
9.5.1.2. Mexico
9.5.1.3. Rest of Latin America
9.5.2. Latin America Personalized Nutrition Platform Market Revenue (US$ Mn) Estimates and Forecasts by Offering, 2021-2034
9.5.3. Latin America Personalized Nutrition Platform Market Revenue (US$ Mn) Estimates and Forecasts by Application, 2021-2034
9.5.4. Latin America Personalized Nutrition Platform Market Revenue (US$ Mn) Estimates and Forecasts by Delivery Mode, 2021-2034
9.5.5. Latin America Personalized Nutrition Platform Market Revenue (US$ Mn) Estimates and Forecasts by End‑User, 2021-2034
9.6. Middle East & Africa
9.6.1. Middle East & Africa Personalized Nutrition Platform Market Revenue (US$ Mn) Estimates and Forecasts by country, 2021-2034
9.6.1.1. GCC Countries
9.6.1.2. Israel
9.6.1.3. South Africa
9.6.1.4. Rest of Middle East and Africa
9.6.2. Middle East & Africa Personalized Nutrition Platform Market Revenue (US$ Mn) Estimates and Forecasts by Offering, 2021-2034
9.6.3. Middle East & Africa Personalized Nutrition Platform Market Revenue (US$ Mn) Estimates and Forecasts by Application, 2021-2034
9.6.4. Middle East & Africa Personalized Nutrition Platform Market Revenue (US$ Mn) Estimates and Forecasts by Delivery Mode, 2021-2034
9.6.5. Middle East & Africa Personalized Nutrition Platform Market Revenue (US$ Mn) Estimates and Forecasts by End‑User, 2021-2034
Chapter 10. Competitive Landscape
10.1. Major Mergers and Acquisitions/Strategic Alliances
10.2. Company Profiles
10.2.1. Vitamin Packs, Inc.
10.2.1.1. Business Overview
10.2.1.2. Key Product/Service
10.2.1.3. Financial Performance
10.2.1.4. Geographical Presence
10.2.1.5. Recent Developments with Business Strategy
10.2.2. ZOE Limited
10.2.3. Viome Life Sciences, Inc.
10.2.4. DNAfit
10.2.5. EatLove
10.2.6. Heali AI Corp
10.2.7. BetterMeal AI
10.2.8. Culina Health
10.2.9. Superpower Health, Inc.
10.2.10. Fay
10.2.11. HealthifyMe Wellness Private Limited
10.2.12. Nestlé
10.2.13. Verdi Food B.V.
Personalized Nutrition Platform Market by Offering
· Software/Platform
· Services
Personalized Nutrition Platform Market by Delivery Mode
· B2C (Direct-to-consumer)
· B2B2C / Channel Partnerships
· B2B (Enterprise)
Personalized Nutrition Platform Market by Application
· Weight Management & Body Composition
· Chronic Disease Management (diabetes, cardiovascular risk)
· Sports & Performance Nutrition
· Allergy & Intolerance Management
· General Wellness / Preventive Health
· Maternal & Infant Nutrition
Personalized Nutrition Platform Market by End Use
· Healthcare Professionals & Clinics
· Fitness & Wellness Chains / Gyms
· Employers / Corporate Wellness
· Others
Personalized Nutrition Platform Market by Region
North America-
· The US
· Canada
Europe-
· Germany
· The UK
· France
· Italy
· Spain
· Rest of Europe
Asia-Pacific-
· China
· Japan
· India
· South Korea
· Southeast Asia
· Rest of Asia Pacific
Latin America-
· Brazil
· Argentina
· Mexico
· Rest of Latin America
Middle East & Africa-
· GCC Countries
· South Africa
· Rest of the Middle East and Africa
InsightAce Analytic follows a standard and comprehensive market research methodology focused on offering the most accurate and precise market insights. The methods followed for all our market research studies include three significant steps – primary research, secondary research, and data modeling and analysis - to derive the current market size and forecast it over the forecast period. In this study, these three steps were used iteratively to generate valid data points (minimum deviation), which were cross-validated through multiple approaches mentioned below in the data modeling section.
Through secondary research methods, information on the market under study, its peer, and the parent market was collected. This information was then entered into data models. The resulted data points and insights were then validated by primary participants.
Based on additional insights from these primary participants, more directional efforts were put into doing secondary research and optimize data models. This process was repeated till all data models used in the study produced similar results (with minimum deviation). This way, this iterative process was able to generate the most accurate market numbers and qualitative insights.
Secondary research
The secondary research sources that are typically mentioned to include, but are not limited to:
The paid sources for secondary research like Factiva, OneSource, Hoovers, and Statista
Primary Research:
Primary research involves telephonic interviews, e-mail interactions, as well as face-to-face interviews for each market, category, segment, and subsegment across geographies
The contributors who typically take part in such a course include, but are not limited to:
Data Modeling and Analysis:
In the iterative process (mentioned above), data models received inputs from primary as well as secondary sources. But analysts working on these models were the key. They used their extensive knowledge and experience about industry and topic to make changes and fine-tuning these models as per the product/service under study.
The standard data models used while studying this market were the top-down and bottom-up approaches and the company shares analysis model. However, other methods were also used along with these – which were specific to the industry and product/service under study.
To know more about the research methodology used for this study, kindly contact us/click here
