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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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

 
 
 
 
 

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.  

 
 

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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