AI in Personalized Nutrition Market

Description

AI in Personalized Nutrition Market Projected to Reach US$10.83 Bn by 2033

Introduction

The global ai in personalized nutrition market is valued at US$2.6 Bn in 2026 and projected to reach US$10.83 Bn by 2033, at a CAGR of 22.6% during 2026-2033. Fairfield Market Research assesses the market through its published product, customer and geographical classifications. The forecast provides a common basis for evaluating commercial priorities across the study period.

Market Insights

The component breakdown covers Software/AI Platforms, Testing Kits (DNA/Microbiome) and Services. The end user breakdown covers Individual Consumers, Healthcare Providers & Clinics, Corporate Wellness Programs and Others. The personalization basis breakdown covers Genetic Data and Microbiome & Biomarker Data. These distinctions help businesses assess which offerings and customer requirements fall within the market's scope. The global forecast should be read alongside these segment definitions rather than applied uniformly to every individual category.

Within the component classification, Software/AI Platforms and Testing Kits (DNA/Microbiome) represent separate categories in the report. Keeping these categories distinct helps readers evaluate the fit of an offering before applying the overall market forecast to a specific commercial plan.

Within the end user classification, Individual Consumers and Healthcare Providers & Clinics represent separate categories in the report. Keeping these categories distinct helps readers evaluate the fit of an offering before applying the overall market forecast to a specific commercial plan.

Within the personalization basis classification, Genetic Data and Microbiome & Biomarker Data represent separate categories in the report. Keeping these categories distinct helps readers evaluate the fit of an offering before applying the overall market forecast to a specific commercial plan.

Drivers

Fairfield's growth discussion addresses biomarker testing, genetic testing, corporate wellness, personalization and nutrition. These themes provide a starting point for assessing demand conditions and the requirements facing suppliers. Their commercial importance depends on the segment, customer and region concerned. Businesses can use the report's detailed discussion to connect these demand factors with their own portfolios and sales priorities.

Business Opportunity

The opportunity discussion highlights component, end user and personalization basis. Companies evaluating expansion can compare these areas with their existing capabilities, route to market and customer needs. Segment selection and regional positioning remain central to assessing the relevance of the published forecast to an individual business.

Businesses considering Software/AI Platforms can compare its customer requirements with those associated with Testing Kits (DNA/Microbiome). This comparison can help define a more focused portfolio, identify the appropriate sales audience and establish which questions require additional segment evidence before resources are committed.

Businesses considering Individual Consumers can compare its customer requirements with those associated with Healthcare Providers & Clinics. This comparison can help define a more focused portfolio, identify the appropriate sales audience and establish which questions require additional segment evidence before resources are committed.

Businesses considering Genetic Data can compare its customer requirements with those associated with Microbiome & Biomarker Data. This comparison can help define a more focused portfolio, identify the appropriate sales audience and establish which questions require additional segment evidence before resources are committed.

Region Analysis

North America is identified in Fairfield's regional analysis as a leading market. The geographical scope covers North America, Europe, Asia Pacific, Latin America and Middle East & Africa. Regional comparisons should use the report's own market definitions and forecast period.

Key Players

Nutrigenomix Inc.
ZOE Global Limited
DayTwo, Inc.
Viome Life Sciences, Inc.
Segterra, Inc.
Season Health, Inc.
Suggestic, Inc.
Zipongo, Inc.
PlateJoy, Inc.
Noom, Inc.

Segmentation

By Component

Software/AI Platforms
Testing Kits (DNA/Microbiome)
Services

By End User

Individual Consumers
Healthcare Providers & Clinics
Corporate Wellness Programs
Others

By Personalization Basis

Genetic Data
Microbiome & Biomarker Data

By Geography

North America
Europe
Asia Pacific
Latin America
Middle East & Africa

1. Executive Summary

1.1. Global AI in Personalized Nutrition Market Snapshot
1.2. Future Projections
1.3. Key Market Trends
1.4. Regional Snapshot, by Value, 2026
1.5. Analyst Recommendations

2. Market Overview

2.1. Market Definitions and Segmentations
2.2. Market Dynamics
- 2.2.1. Drivers
- 2.2.2. Restraints
- 2.2.3. Market Opportunities
2.3. Value Chain Analysis
2.4. COVID-19 Impact Analysis
2.5. Porter's Five Forces Analysis
2.6. Impact of Russia-Ukraine Conflict
2.7. PESTLE Analysis
2.8. Regulatory Analysis
2.9. Price Trend Analysis
- 2.9.1. Current Prices and Future Projections, 2025-2033
- 2.9.2. Price Impact Factors

3. Global AI in Personalized Nutrition Market Outlook, 2020 - 2033

3.1. Global AI in Personalized Nutrition Market Outlook, by Component, Value (US$ Bn), 2020-2033
- 3.1.1. Software/AI Platforms
- 3.1.2. Testing Kits (DNA/Microbiome)
- 3.1.3. Services
3.2. Global AI in Personalized Nutrition Market Outlook, by End User, Value (US$ Bn), 2020-2033
- 3.2.1. Individual Consumers
- 3.2.2. Healthcare Providers & Clinics
- 3.2.3. Corporate Wellness Programs
- 3.2.4. Others
3.3. Global AI in Personalized Nutrition Market Outlook, by Personalization Basis, Value (US$ Bn), 2020-2033
- 3.3.1. Genetic Data
- 3.3.2. Microbiome & Biomarker Data
3.4. Global AI in Personalized Nutrition Market Outlook, by Region, Value (US$ Bn), 2020-2033
- 3.4.1. North America
- 3.4.2. Europe
- 3.4.3. Asia Pacific
- 3.4.4. Latin America
- 3.4.5. Middle East & Africa

4. North America AI in Personalized Nutrition Market Outlook, 2020 - 2033

4.1. North America AI in Personalized Nutrition Market Outlook, by Component, Value (US$ Bn), 2020-2033
- 4.1.1. Software/AI Platforms
- 4.1.2. Testing Kits (DNA/Microbiome)
- 4.1.3. Services
4.2. North America AI in Personalized Nutrition Market Outlook, by End User, Value (US$ Bn), 2020-2033
- 4.2.1. Individual Consumers
- 4.2.2. Healthcare Providers & Clinics
- 4.2.3. Corporate Wellness Programs
- 4.2.4. Others
4.3. North America AI in Personalized Nutrition Market Outlook, by Personalization Basis, Value (US$ Bn), 2020-2033
- 4.3.1. Genetic Data
- 4.3.2. Microbiome & Biomarker Data
4.4. North America AI in Personalized Nutrition Market Outlook, by Country, Value (US$ Bn), 2020-2033
- 4.4.1. U.S. AI in Personalized Nutrition Market Outlook, by Component, 2020-2033
- 4.4.2. U.S. AI in Personalized Nutrition Market Outlook, by End User, 2020-2033
- 4.4.3. U.S. AI in Personalized Nutrition Market Outlook, by Personalization Basis, 2020-2033
- 4.4.4. Canada AI in Personalized Nutrition Market Outlook, by Component, 2020-2033
- 4.4.5. Canada AI in Personalized Nutrition Market Outlook, by End User, 2020-2033
- 4.4.6. Canada AI in Personalized Nutrition Market Outlook, by Personalization Basis, 2020-2033
4.5. BPS Analysis/Market Attractiveness Analysis

5. Europe AI in Personalized Nutrition Market Outlook, 2020 - 2033

5.1. Europe AI in Personalized Nutrition Market Outlook, by Component, Value (US$ Bn), 2020-2033
- 5.1.1. Software/AI Platforms
- 5.1.2. Testing Kits (DNA/Microbiome)
- 5.1.3. Services
5.2. Europe AI in Personalized Nutrition Market Outlook, by End User, Value (US$ Bn), 2020-2033
- 5.2.1. Individual Consumers
- 5.2.2. Healthcare Providers & Clinics
- 5.2.3. Corporate Wellness Programs
- 5.2.4. Others
5.3. Europe AI in Personalized Nutrition Market Outlook, by Personalization Basis, Value (US$ Bn), 2020-2033
- 5.3.1. Genetic Data
- 5.3.2. Microbiome & Biomarker Data
5.4. Europe AI in Personalized Nutrition Market Outlook, by Country, Value (US$ Bn), 2020-2033
- 5.4.1. Germany AI in Personalized Nutrition Market Outlook, by Component, 2020-2033
- 5.4.2. Germany AI in Personalized Nutrition Market Outlook, by End User, 2020-2033
- 5.4.3. Germany AI in Personalized Nutrition Market Outlook, by Personalization Basis, 2020-2033
- 5.4.4. Italy AI in Personalized Nutrition Market Outlook, by Component, 2020-2033
- 5.4.5. Italy AI in Personalized Nutrition Market Outlook, by End User, 2020-2033
- 5.4.6. Italy AI in Personalized Nutrition Market Outlook, by Personalization Basis, 2020-2033
- 5.4.7. France AI in Personalized Nutrition Market Outlook, by Component, 2020-2033
- 5.4.8. France AI in Personalized Nutrition Market Outlook, by End User, 2020-2033
- 5.4.9. France AI in Personalized Nutrition Market Outlook, by Personalization Basis, 2020-2033
- 5.4.10. U.K. AI in Personalized Nutrition Market Outlook, by Component, 2020-2033
- 5.4.11. U.K. AI in Personalized Nutrition Market Outlook, by End User, 2020-2033
- 5.4.12. U.K. AI in Personalized Nutrition Market Outlook, by Personalization Basis, 2020-2033
- 5.4.13. Spain AI in Personalized Nutrition Market Outlook, by Component, 2020-2033
- 5.4.14. Spain AI in Personalized Nutrition Market Outlook, by End User, 2020-2033
- 5.4.15. Spain AI in Personalized Nutrition Market Outlook, by Personalization Basis, 2020-2033
- 5.4.16. Russia AI in Personalized Nutrition Market Outlook, by Component, 2020-2033
- 5.4.17. Russia AI in Personalized Nutrition Market Outlook, by End User, 2020-2033
- 5.4.18. Russia AI in Personalized Nutrition Market Outlook, by Personalization Basis, 2020-2033
- 5.4.19. Rest of Europe AI in Personalized Nutrition Market Outlook, by Component, 2020-2033
- 5.4.20. Rest of Europe AI in Personalized Nutrition Market Outlook, by End User, 2020-2033
- 5.4.21. Rest of Europe AI in Personalized Nutrition Market Outlook, by Personalization Basis, 2020-2033
5.5. BPS Analysis/Market Attractiveness Analysis

6. Asia Pacific AI in Personalized Nutrition Market Outlook, 2020 - 2033

6.1. Asia Pacific AI in Personalized Nutrition Market Outlook, by Component, Value (US$ Bn), 2020-2033
- 6.1.1. Software/AI Platforms
- 6.1.2. Testing Kits (DNA/Microbiome)
- 6.1.3. Services
6.2. Asia Pacific AI in Personalized Nutrition Market Outlook, by End User, Value (US$ Bn), 2020-2033
- 6.2.1. Individual Consumers
- 6.2.2. Healthcare Providers & Clinics
- 6.2.3. Corporate Wellness Programs
- 6.2.4. Others
6.3. Asia Pacific AI in Personalized Nutrition Market Outlook, by Personalization Basis, Value (US$ Bn), 2020-2033
- 6.3.1. Genetic Data
- 6.3.2. Microbiome & Biomarker Data
6.4. Asia Pacific AI in Personalized Nutrition Market Outlook, by Country, Value (US$ Bn), 2020-2033
- 6.4.1. China AI in Personalized Nutrition Market Outlook, by Component, 2020-2033
- 6.4.2. China AI in Personalized Nutrition Market Outlook, by End User, 2020-2033
- 6.4.3. China AI in Personalized Nutrition Market Outlook, by Personalization Basis, 2020-2033
- 6.4.4. Japan AI in Personalized Nutrition Market Outlook, by Component, 2020-2033
- 6.4.5. Japan AI in Personalized Nutrition Market Outlook, by End User, 2020-2033
- 6.4.6. Japan AI in Personalized Nutrition Market Outlook, by Personalization Basis, 2020-2033
- 6.4.7. South Korea AI in Personalized Nutrition Market Outlook, by Component, 2020-2033
- 6.4.8. South Korea AI in Personalized Nutrition Market Outlook, by End User, 2020-2033
- 6.4.9. South Korea AI in Personalized Nutrition Market Outlook, by Personalization Basis, 2020-2033
- 6.4.10. India AI in Personalized Nutrition Market Outlook, by Component, 2020-2033
- 6.4.11. India AI in Personalized Nutrition Market Outlook, by End User, 2020-2033
- 6.4.12. India AI in Personalized Nutrition Market Outlook, by Personalization Basis, 2020-2033
- 6.4.13. Southeast Asia AI in Personalized Nutrition Market Outlook, by Component, 2020-2033
- 6.4.14. Southeast Asia AI in Personalized Nutrition Market Outlook, by End User, 2020-2033
- 6.4.15. Southeast Asia AI in Personalized Nutrition Market Outlook, by Personalization Basis, 2020-2033
- 6.4.16. Rest of SAO AI in Personalized Nutrition Market Outlook, by Component, 2020-2033
- 6.4.17. Rest of SAO AI in Personalized Nutrition Market Outlook, by End User, 2020-2033
- 6.4.18. Rest of SAO AI in Personalized Nutrition Market Outlook, by Personalization Basis, 2020-2033
6.5. BPS Analysis/Market Attractiveness Analysis

7. Latin America AI in Personalized Nutrition Market Outlook, 2020 - 2033

7.1. Latin America AI in Personalized Nutrition Market Outlook, by Component, Value (US$ Bn), 2020-2033
- 7.1.1. Software/AI Platforms
- 7.1.2. Testing Kits (DNA/Microbiome)
- 7.1.3. Services
7.2. Latin America AI in Personalized Nutrition Market Outlook, by End User, Value (US$ Bn), 2020-2033
- 7.2.1. Individual Consumers
- 7.2.2. Healthcare Providers & Clinics
- 7.2.3. Corporate Wellness Programs
- 7.2.4. Others
7.3. Latin America AI in Personalized Nutrition Market Outlook, by Personalization Basis, Value (US$ Bn), 2020-2033
- 7.3.1. Genetic Data
- 7.3.2. Microbiome & Biomarker Data
7.4. Latin America AI in Personalized Nutrition Market Outlook, by Country, Value (US$ Bn), 2020-2033
- 7.4.1. Brazil AI in Personalized Nutrition Market Outlook, by Component, 2020-2033
- 7.4.2. Brazil AI in Personalized Nutrition Market Outlook, by End User, 2020-2033
- 7.4.3. Brazil AI in Personalized Nutrition Market Outlook, by Personalization Basis, 2020-2033
- 7.4.4. Mexico AI in Personalized Nutrition Market Outlook, by Component, 2020-2033
- 7.4.5. Mexico AI in Personalized Nutrition Market Outlook, by End User, 2020-2033
- 7.4.6. Mexico AI in Personalized Nutrition Market Outlook, by Personalization Basis, 2020-2033
- 7.4.7. Argentina AI in Personalized Nutrition Market Outlook, by Component, 2020-2033
- 7.4.8. Argentina AI in Personalized Nutrition Market Outlook, by End User, 2020-2033
- 7.4.9. Argentina AI in Personalized Nutrition Market Outlook, by Personalization Basis, 2020-2033
- 7.4.10. Rest of LATAM AI in Personalized Nutrition Market Outlook, by Component, 2020-2033
- 7.4.11. Rest of LATAM AI in Personalized Nutrition Market Outlook, by End User, 2020-2033
- 7.4.12. Rest of LATAM AI in Personalized Nutrition Market Outlook, by Personalization Basis, 2020-2033
7.5. BPS Analysis/Market Attractiveness Analysis

8. Middle East & Africa AI in Personalized Nutrition Market Outlook, 2020 - 2033

8.1. Middle East & Africa AI in Personalized Nutrition Market Outlook, by Component, Value (US$ Bn), 2020-2033
- 8.1.1. Software/AI Platforms
- 8.1.2. Testing Kits (DNA/Microbiome)
- 8.1.3. Services
8.2. Middle East & Africa AI in Personalized Nutrition Market Outlook, by End User, Value (US$ Bn), 2020-2033
- 8.2.1. Individual Consumers
- 8.2.2. Healthcare Providers & Clinics
- 8.2.3. Corporate Wellness Programs
- 8.2.4. Others
8.3. Middle East & Africa AI in Personalized Nutrition Market Outlook, by Personalization Basis, Value (US$ Bn), 2020-2033
- 8.3.1. Genetic Data
- 8.3.2. Microbiome & Biomarker Data
8.4. Middle East & Africa AI in Personalized Nutrition Market Outlook, by Country, Value (US$ Bn), 2020-2033
- 8.4.1. GCC AI in Personalized Nutrition Market Outlook, by Component, 2020-2033
- 8.4.2. GCC AI in Personalized Nutrition Market Outlook, by End User, 2020-2033
- 8.4.3. GCC AI in Personalized Nutrition Market Outlook, by Personalization Basis, 2020-2033
- 8.4.4. South Africa AI in Personalized Nutrition Market Outlook, by Component, 2020-2033
- 8.4.5. South Africa AI in Personalized Nutrition Market Outlook, by End User, 2020-2033
- 8.4.6. South Africa AI in Personalized Nutrition Market Outlook, by Personalization Basis, 2020-2033
- 8.4.7. Egypt AI in Personalized Nutrition Market Outlook, by Component, 2020-2033
- 8.4.8. Egypt AI in Personalized Nutrition Market Outlook, by End User, 2020-2033
- 8.4.9. Egypt AI in Personalized Nutrition Market Outlook, by Personalization Basis, 2020-2033
- 8.4.10. Nigeria AI in Personalized Nutrition Market Outlook, by Component, 2020-2033
- 8.4.11. Nigeria AI in Personalized Nutrition Market Outlook, by End User, 2020-2033
- 8.4.12. Nigeria AI in Personalized Nutrition Market Outlook, by Personalization Basis, 2020-2033
- 8.4.13. Rest of Middle East AI in Personalized Nutrition Market Outlook, by Component, 2020-2033
- 8.4.14. Rest of Middle East AI in Personalized Nutrition Market Outlook, by End User, 2020-2033
- 8.4.15. Rest of Middle East AI in Personalized Nutrition Market Outlook, by Personalization Basis, 2020-2033
8.5. BPS Analysis/Market Attractiveness Analysis

9. Competitive Landscape

9.1. Company Vs Segment Heatmap
9.2. Company Market Share Analysis, 2025
9.3. Competitive Dashboard
9.4. Company Profiles
- 9.4.1. Nutrigenomix Inc.
  - 9.4.1.1. Company Overview
  - 9.4.1.2. Product Portfolio
  - 9.4.1.3. Financial Overview
  - 9.4.1.4. Business Strategies and Developments
- 9.4.2. ZOE Global Limited
- 9.4.3. DayTwo, Inc.
- 9.4.4. Viome Life Sciences, Inc.
- 9.4.5. Segterra, Inc.
- 9.4.6. Season Health, Inc.
- 9.4.7. Suggestic, Inc.
- 9.4.8. Zipongo, Inc.
- 9.4.9. PlateJoy, Inc.
- 9.4.10. Noom, Inc.

10. Appendix

10.1. Research Methodology
10.2. Report Assumptions
10.3. Acronyms and Abbreviations