AI in Personalized Nutrition Market - 2026-2033

March 2026 | 54 pages | ID: A18A1AB04742EN
DataM Intelligence

Abstracts

AI in Personalized Nutrition Market reached US$ 1.57 billion in 2025 and is expected to reach US$ 8.04 billion by 2033, growing with a CAGR of 23.77% during the forecast period 2026-2033.

The AI in Personalized Nutrition Market emerges as a key focus in DataM Intelligence latest in-depth analysis, where seasoned researchers harness advanced data analytics and strategic foresight to deliver unparalleled market intelligence. This insightful report meticulously explores the competitive landscape, profiling key players and their forward-thinking innovations in product development, pricing strategies, financial metrics, and global expansion initiatives. By uncovering the driving forces, market dynamics, and disruptive trends shaping the future, this research equips industry stakeholders with the actionable insights needed to make informed decisions in an increasingly dynamic and competitive environment.

A AI in Personalized Nutrition Market is a data-driven software solution that collects, integrates, analyzes, and visualizes customer data across various touchpoints to generate actionable insights. These platforms help businesses understand customer behaviors, preferences, and purchasing patterns in real time, enabling personalized marketing, enhanced customer engagement, and data-driven decision-making.

By Technology

• AI and Machine Learning*
• Natural Language Processing (NLP)
• Computer Vision
• Predictive Analytics
• Deep Learning
• Others

By Deployment Mode

• Cloud-Based AI Solutions*
• On-Premise AI Solutions

By End-User

• Fitness Enthusiasts *

By Application

• Meal Planning and Recommendations*
• Nutrient Analysis
• Personalized Supplementation
• Allergen and Sensitivity Detection
• Health Monitoring
• Others

Regional Analysis for AI in Personalized Nutrition Market:

• North America (U.S., Canada, Mexico)
• Europe (U.K., Italy, Germany, Russia, France, Spain, The Netherlands and Rest of Europe)
• Asia-Pacific (India, Japan, China, South Korea, Australia, Indonesia Rest of Asia Pacific)
• South America (Colombia, Brazil, Argentina, Rest of South America)
• Middle East & Africa (Saudi Arabia, U.A.E., South Africa, Rest of Middle East & Africa)

This Report Covers:

• Go-to-market Strategy.
• Neutral perspective on the market performance.
• Development trends, competitive landscape analysis, supply side analysis, demand side analysis, year-on-year growth, competitive benchmarking, vendor identification, and other significant analysis, as well as development status.
• Customized regional/country reports as per request and country level analysis.
• Potential & niche segments and regions exhibiting promising growth covered.
• Analysis of Market Size (historical and forecast), Total Addressable Market (TAM), Serviceable Available Market (SAM), Serviceable Obtainable Market (SOM), Market Growth, Technological Trends, Market Share, Market Dynamics, Competitive Landscape and Major Players (Innovators, Start-ups, Laggard, and Pioneer).

Research Process:

Both primary and secondary data sources have been used in the global AI in Personalized Nutrition Market research report. During the research process, a wide range of industry-affecting factors are examined, including governmental regulations, market conditions, competitive levels, historical data, market situation, technological advancements, upcoming developments, in related businesses, as well as market volatility, prospects, potential barriers, and challenges.

Contents

1. METHODOLOGY AND SCOPE

1.1. Research Methodology
1.2. Research Objective and Scope of the Report

2. DEFINITION AND OVERVIEW

3. EXECUTIVE SUMMARY

3.1. Snippet by Technology
3.2. Snippet by Deployment Mode
3.3. Snippet by End-User
3.4. Snippet by Application
3.5. Snippet by Region

4. DYNAMICS

4.1. Impacting Factors
  4.1.1. Drivers
    4.1.1.1. AI-Powered Microbiome Analysis for Hyper-Personalized Diets
  4.1.2. Restraints
    4.1.2.1. Ethical Concerns in AI-Driven Dietary Recommendations
  4.1.3. Opportunity
  4.1.4. Impact Analysis

5. INDUSTRY ANALYSIS

5.1. Porter's Five Force Analysis
5.2. Supply Chain Analysis
5.3. Value Chain Analysis
5.4. Pricing Analysis
5.5. Regulatory and Compliance Analysis
5.6. AI & Automation Impact Analysis
5.7. R&D and Innovation Analysis
5.8. Technology Analysis
5.9. DMI Opinion

6. BY TECHNOLOGY

6.1. Introduction
  6.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
  6.1.2. Market Attractiveness Index, By Technology
6.2. AI and Machine Learning*
  6.2.1. Introduction
  6.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
6.3. Natural Language Processing (NLP)
6.4. Computer Vision
6.5. Predictive Analytics
6.6. Deep Learning
6.7. Others

7. BY DEPLOYMENT MODE

7.1. Introduction
  7.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment Mode
  7.1.2. Market Attractiveness Index, By Deployment Mode
7.2. Cloud-Based AI Solutions*
  7.2.1. Introduction
  7.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
7.3. On-Premise AI Solutions

8. BY END-USER

8.1. Introduction
  8.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
  8.1.2. Market Attractiveness Index, By End-User
8.2. Fitness Enthusiasts *
  8.2.1. Introduction
  8.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)

9. FITNESS AND WELLNESS CENTERS

9.1. Healthcare Providers
9.2. Others

10. BY APPLICATION

10.1. Introduction
  10.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
  10.1.2. Market Attractiveness Index, By Application
10.2. Meal Planning and Recommendations*
  10.2.1. Introduction
  10.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
10.3. Nutrient Analysis
10.4. Personalized Supplementation
10.5. Allergen and Sensitivity Detection
10.6. Health Monitoring
10.7. Others

11. BY REGION

11.1. Introduction
  11.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Region
  11.1.2. Market Attractiveness Index, By Region
11.2. North America
  11.2.1. Introduction
  11.2.2. Key Region-Specific Dynamics
  11.2.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
  11.2.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment Mode
  11.2.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
  11.2.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
  11.2.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
    11.2.7.1. U.S.
    11.2.7.2. Canada
    11.2.7.3. Mexico
11.3. Europe
  11.3.1. Introduction
  11.3.2. Key Region-Specific Dynamics
  11.3.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
  11.3.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment Mode
  11.3.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
  11.3.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
  11.3.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
    11.3.7.1. Germany
    11.3.7.2. UK
    11.3.7.3. France
    11.3.7.4. Italy
    11.3.7.5. Russia
    11.3.7.6. Rest of Europe
11.4. South America
  11.4.1. Introduction
  11.4.2. Key Region-Specific Dynamics
  11.4.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
  11.4.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment Mode
  11.4.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
  11.4.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
  11.4.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
    11.4.7.1. Brazil
    11.4.7.2. Argentina
    11.4.7.3. Rest of South America
11.5. Asia-Pacific
  11.5.1. Introduction
  11.5.2. Key Region-Specific Dynamics
  11.5.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
  11.5.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment Mode
  11.5.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
  11.5.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
  11.5.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
    11.5.7.1. China
    11.5.7.2. India
    11.5.7.3. Japan
    11.5.7.4. Australia
    11.5.7.5. Rest of Asia-Pacific
11.6. Middle East and Africa
  11.6.1. Introduction
  11.6.2. Key Region-Specific Dynamics
  11.6.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
  11.6.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment Mode
  11.6.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
  11.6.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application

12. COMPETITIVE LANDSCAPE

12.1. Competitive Scenario
12.2. Market Positioning/Share Analysis
12.3. Mergers and Acquisitions Analysis

13. COMPANY PROFILES

13.1. Viome Life Sciences, Inc.
  13.1.1. Company Overview
  13.1.2. Product Portfolio and Description
  13.1.3. Financial Overview
  13.1.4. Key Developments
13.2. ZOE Limited
13.3. DayTwo Ltd.
13.4. Segterra, Inc.
13.5. Bioniq Health-Tech Solutions Ltd.
13.6. Nutrigenomix Inc.
13.7. GenoPalate, Inc.
13.8. Vitamin Shoppe, Inc.
13.9. Habit LLC
13.10. January AI, Inc.(*LIST NOT EXHAUSTIVE)

14. APPENDIX

14.1. About Us and Services
14.2. Contact Us