Personalized Nutrition Platform Market Size, Share & Trends Analysis Distribution By Offering (Software/Platform and Services), By Delivery Mode (B2C (Direct-to-consumer), B2B2C / Channel Partnerships, and B2B (Enterprise)), By Application (Weight Management & Body Composition, Chronic Disease Management, Sports & Performance Nutrition, Allergy & Intolerance Management, General Wellness / Preventive Health, and Maternal & Infant Nutrition), By End Use (Healthcare Professionals & Clinics, Fitness & Wellness Chains / Gyms, Employers / Corporate Wellness, and Others), and Segment Forecasts, 2025-2034

Report Id: 3260 Pages: 180 Last Updated: 11 November 2025 Format: PDF / PPT / Excel / Power BI
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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 Platform Market INFO

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.

Competitive Landscape

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

Market Segmentation:

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.

By Offering, the Software/Platform Segment is Expected to Drive the Personalized Nutrition Platform Market

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.

B2C (Direct-to-consumer) Segment is Growing at the Highest Rate in the Personalized Nutrition Platform Market

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.

Regionally, North America Led the Personalized Nutrition Platform Market

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.

Personalized Nutrition Platform Market Report Scope

Report Attribute Specifications
Market Size Value In 2024 USD 910.0 Mn
Revenue Forecast In 2034 USD 2,008.8 Mn
Growth Rate CAGR CAGR of 8.5% from 2025 to 2034
Quantitative Units Representation of revenue in US$ Bn and CAGR from 2025 to 2034
Historic Year 2021 to 2024
Forecast Year 2025-2034
Report Coverage The forecast of revenue, the position of the company, the competitive market structure, growth prospects, and trends
Segments Covered By Offering, By Delivery Mode, By Application, By End Use, and By Region
Regional Scope North America; Europe; Asia Pacific; Latin America; Middle East & Africa
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
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.
Customization Scope Free customization report with the procurement of the report, Modifications to the regional and segment scope. Geographic competitive landscape.          
Pricing and Available Payment Methods Explore pricing alternatives that are customized to your particular study requirements.
 
 
 
 
 

Segmentation of Personalized Nutrition Platform Market -

Personalized Nutrition Platform Market by Offering

·       Software/Platform

·       Services

Personalized Nutrition Platform Market SEG

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

 
 
 
 
 

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Research Design and Approach

This study employed a multi-step, mixed-method research approach that integrates:

  • Secondary research
  • Primary research
  • Data triangulation
  • Hybrid top-down and bottom-up modelling
  • Forecasting and scenario analysis

This approach ensures a balanced and validated understanding of both macro- and micro-level market factors influencing the market.

Secondary Research

Secondary research for this study involved the collection, review, and analysis of publicly available and paid data sources to build the initial fact base, understand historical market behaviour, identify data gaps, and refine the hypotheses for primary research.

Sources Consulted

Secondary data for the market study was gathered from multiple credible sources, including:

  • Government databases, regulatory bodies, and public institutions
  • International organizations (WHO, OECD, IMF, World Bank, etc.)
  • Commercial and paid databases
  • Industry associations, trade publications, and technical journals
  • Company annual reports, investor presentations, press releases, and SEC filings
  • Academic research papers, patents, and scientific literature
  • Previous market research publications and syndicated reports

These sources were used to compile historical data, market volumes/prices, industry trends, technological developments, and competitive insights.

Secondary Research

Primary Research

Primary research was conducted to validate secondary data, understand real-time market dynamics, capture price points and adoption trends, and verify the assumptions used in the market modelling.

Stakeholders Interviewed

Primary interviews for this study involved:

  • Manufacturers and suppliers in the market value chain
  • Distributors, channel partners, and integrators
  • End-users / customers (e.g., hospitals, labs, enterprises, consumers, etc., depending on the market)
  • Industry experts, technology specialists, consultants, and regulatory professionals
  • Senior executives (CEOs, CTOs, VPs, Directors) and product managers

Interview Process

Interviews were conducted via:

  • Structured and semi-structured questionnaires
  • Telephonic and video interactions
  • Email correspondences
  • Expert consultation sessions

Primary insights were incorporated into demand modelling, pricing analysis, technology evaluation, and market share estimation.

Data Processing, Normalization, and Validation

All collected data were processed and normalized to ensure consistency and comparability across regions and time frames.

The data validation process included:

  • Standardization of units (currency conversions, volume units, inflation adjustments)
  • Cross-verification of data points across multiple secondary sources
  • Normalization of inconsistent datasets
  • Identification and resolution of data gaps
  • Outlier detection and removal through algorithmic and manual checks
  • Plausibility and coherence checks across segments and geographies

This ensured that the dataset used for modelling was clean, robust, and reliable.

Market Size Estimation and Data Triangulation

Bottom-Up Approach

The bottom-up approach involved aggregating segment-level data, such as:

  • Company revenues
  • Product-level sales
  • Installed base/usage volumes
  • Adoption and penetration rates
  • Pricing analysis

This method was primarily used when detailed micro-level market data were available.

Bottom Up Approach

Top-Down Approach

The top-down approach used macro-level indicators:

  • Parent market benchmarks
  • Global/regional industry trends
  • Economic indicators (GDP, demographics, spending patterns)
  • Penetration and usage ratios

This approach was used for segments where granular data were limited or inconsistent.

Hybrid Triangulation Approach

To ensure accuracy, a triangulated hybrid model was used. This included:

  • Reconciling top-down and bottom-up estimates
  • Cross-checking revenues, volumes, and pricing assumptions
  • Incorporating expert insights to validate segment splits and adoption rates

This multi-angle validation yielded the final market size.

Forecasting Framework and Scenario Modelling

Market forecasts were developed using a combination of time-series modelling, adoption curve analysis, and driver-based forecasting tools.

Forecasting Methods

  • Time-series modelling
  • S-curve and diffusion models (for emerging technologies)
  • Driver-based forecasting (GDP, disposable income, adoption rates, regulatory changes)
  • Price elasticity models
  • Market maturity and lifecycle-based projections

Scenario Analysis

Given inherent uncertainties, three scenarios were constructed:

  • Base-Case Scenario: Expected trajectory under current conditions
  • Optimistic Scenario: High adoption, favourable regulation, strong economic tailwinds
  • Conservative Scenario: Slow adoption, regulatory delays, economic constraints

Sensitivity testing was conducted on key variables, including pricing, demand elasticity, and regional adoption.

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Frequently Asked Questions

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.

The major players in the Personalized Nutrition Platform market are 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.

The primary Personalized Nutrition Platform market segments are Offering, Delivery Mode, Application, and End Use.

North America leads the market for Personalized Nutrition Platform due to rising prevalence of chronic diseases associated with lifestyle choices.

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