FOOD & BEVERAGE
Global Personalized Nutrition Market - Industry Trends and Forecast to 2032
REPORT OVERVIEW
Global Personalized Nutrition Market, By Product (Active Measurement and Standard Measurement), Application (Standard Supplements and Disease-Based), End Use (Direct-To Consumer, Wellness and Fitness Centers, and Hospitals and Clinics), Form (Tablets, Capsules, Powder, Liquid, and Others), Region (North America, Europe, Asia-Pacific, South America, Middle East and Africa) – Industry Trends and Forecast to 2032.
Market Insights
Market Dynamics
- Shift in consumer preferences
- Digital health platforms
- High costs
- Regulatory hurdles
- Increasing innovations and advancements in technologies
- Expansion of nutritional biomarkers
- Equitable access
- Cultural sensitivity
SEGMENTATION
- Product
- Active Measurement
- Standard Measurement
- Application
- Standard Supplements
- Disease-Based
- End Use
- Direct-To Consumer
- Wellness and Fitness Centres
- Hospitals and Clinics
- Form
- Tablets
- Capsules
- Powder
- Liquid
- Others
- North America
- U.S.
- Canada
- Mexico
- Rest of North America
- Europe
- Germany
- U.K.
- France
- Italy
- Spain
- Russia
- The Netherlands
- Belgium
- Turkey
- Rest of Europe
- Asia-Pacific
- China
- India
- Japan
- South Korea
- Singapore
- Malaysia
- Australia
- Thailand
- Philippines
- Rest of Asia-Pacific
- South America
- Brazil
- Argentina
- Chile
- Colombia
- Rest of South America
- Middle East and Africa
- Kingdom of Saudi Arabia
- South Africa
- U.A.E.
- Egypt
- Rest of Middle East and Africa
KEY MARKET PLAYERS
- Amway
- BASF
- DSM
- DNAfit
- Care/of
- Habit
- Atlas Biomed Group Limited
- Zipongo
- Viome
- Nutrigenomix
Table OF CONTENTS
- SECTION 1 - INTRODUCTION
- 1.1 Taxonomy
- 1.2 Market Overview
- 1.3 Currency and Limitations
- 1.3.1 Currency
- 1.3.2 Limitations
- 1.4 Key Competitors
- SECTION 2 - RESEARCH METHODOLOGY
- 2.1 Research Approach
- 2.2 Data Collection and Validation
- 2.2.1 Secondary Research
- 2.2.2 Primary Research
- 2.3 Market Assessment
- 2.3.1 Market Size Estimation
- 2.3.2 Bottom-up Approach
- 2.3.3 Top-down Approach
- 2.3.4 Growth Forecast
- 2.4 Market Study Assumptions
- 2.5 Data Sources
- SECTION 3 - EXECUTIVE SUMMARY
- 3.1 Global Personalized Nutrition Market, by Product
- 3.2 Global Personalized Nutrition Market, by Application
- 3.3 Global Personalized Nutrition Market, by End Use
- 3.4 Global Personalized Nutrition Market, by Form
- 3.5 Global Personalized Nutrition Market, by Geography
- 3.6 Market Position Grid
- SECTION 4 - PREMIUM INSIGHTS
- 4.1 Regulatory Framework
- 4.1.1 Standards
- 4.1.2 Regulatory Landscape
- 4.2 Value Chain Analysis
- 4.3 Supply Chain Analysis
- 4.4 COVID-19 Impact
- 4.5 Russia-Ukraine War Impact
- 4.6 PORTER's Five Force Analysis
- 4.7 PESTLE Analysis
- 4.8 SWOT Analysis
- 4.9 Go to Market Strategy
- 4.10 Opportunity Orbit
- 4.11 Multivariate Modelling
- 4.12 Pricing Analysis
- SECTION 5 - MARKET DYNAMICS
- 5.1 Trends
- 5.1.1 Customization
- 5.1.2 Health consciousness
- 5.1.3 Trend 3
- 5.2 Drivers
- 5.2.1 Shift in consumer preferences
- 5.2.2 Digital health platforms
- 5.2.3 Driver 3
- 5.2.4 Driver 4
- 5.3 Restraints
- 5.3.1 High costs
- 5.3.2 Regulatory hurdles
- 5.3.3 Restraint 3
- 5.4 Opportunities
- 5.4.1 Increasing innovations and advancements in technologies
- 5.4.2 Expansion of nutritional biomarkers
- 5.4.3 Opportunity 3
- 5.4.4 Opportunity 4
- 5.5 Challenges
- 5.5.1 Equitable access
- 5.5.2 Cultural sensitivity
- 5.5.3 Challenge 3
- SECTION 6 - GLOBAL PERSONALIZED NUTRITION MARKET, BY PRODUCT
- 6.1 Product Summary
- 6.2 Market Attractive Index
- 6.3 Global Personalized Nutrition Market, by Product (2019-2032)
- SECTION 7 - GLOBAL PERSONALIZED NUTRITION MARKET, BY APPLICATION
- 7.1 Application Summary
- 7.2 Market Attractive Index
- 7.3 Global Personalized Nutrition Market, by Application (2019-2032)
- SECTION 8 - GLOBAL PERSONALIZED NUTRITION MARKET, BY END USE
- 8.1 End Use Summary
- 8.2 Market Attractive Index
- 8.3 Global Personalized Nutrition Market, by End Use (2019-2032)
- SECTION 9 - GLOBAL PERSONALIZED NUTRITION MARKET, BY FORM
- 9.1 Form Summary
- 9.2 Market Attractive Index
- 9.3 Global Personalized Nutrition Market, by Form (2019-2032)
- SECTION 10 - GLOBAL PERSONALIZED NUTRITION MARKET, BY GEOGRAPHY
- 10.1 Regional Summary
- 10.2 Market Attractive Index
- 10.3 Global Personalized Nutrition Market, by Geography (2019-2032)
- SECTION 11 - NORTH AMERICA PERSONALIZED NUTRITION MARKET
- 11.1 North America Summary
- 11.2 Market Attractive Index
- 11.3 North America Personalized Nutrition Market, by Product (2019-2032)
- 11.4 North America Personalized Nutrition Market, by Application (2019-2032)
- 11.5 North America Personalized Nutrition Market, by End Use (2019-2032)
- 11.6 North America Personalized Nutrition Market, by Form (2019-2032)
- 11.7 North America Personalized Nutrition Market, by Country (2019-2032)
- 11.7.1 U.S.
- 11.7.2 Canada
- 11.7.3 Mexico
- 11.7.4 Rest of North America
- SECTION 12 - EUROPE PERSONALIZED NUTRITION MARKET
- 12.1 Europe Summary
- 12.2 Market Attractive Index
- 12.3 Europe Personalized Nutrition Market, by Product (2019-2032)
- 12.4 Europe Personalized Nutrition Market, by Application (2019-2032)
- 12.5 Europe Personalized Nutrition Market, by End Use (2019-2032)
- 12.6 Europe Personalized Nutrition Market, by Form (2019-2032)
- 12.7 Europe Personalized Nutrition Market, by Country (2019-2032)
- 12.7.1 Germany
- 12.7.2 U.K.
- 12.7.3 France
- 12.7.4 Italy
- 12.7.5 Spain
- 12.7.6 Russia
- 12.7.7 The Netherlands
- 12.7.8 Belgium
- 12.7.9 Turkey
- 12.7.10 Rest of Europe
- SECTION 13 - ASIA-PACIFIC PERSONALIZED NUTRITION MARKET
- 13.1 Asia-Pacific Summary
- 13.2 Market Attractive Index
- 13.3 Asia-Pacific Personalized Nutrition Market, by Product (2019-2032)
- 13.4 Asia-Pacific Personalized Nutrition Market, by Application (2019-2032)
- 13.5 Asia-Pacific Personalized Nutrition Market, by End Use (2019-2032)
- 13.6 Asia-Pacific Personalized Nutrition Market, by Form (2019-2032)
- 13.7 Asia-Pacific Personalized Nutrition Market, by Country (2019-2032)
- 13.7.1 China
- 13.7.2 India
- 13.7.3 Japan
- 13.7.4 South Korea
- 13.7.5 Singapore
- 13.7.6 Malaysia
- 13.7.7 Australia
- 13.7.8 Thailand
- 13.7.9 Philippines
- 13.7.10 Rest of Asia-Pacific
- SECTION 14 - SOUTH AMERICA PERSONALIZED NUTRITION MARKET
- 14.1 South America Summary
- 14.2 Market Attractive Index
- 14.3 South America Personalized Nutrition Market, by Product (2019-2032)
- 14.4 South America Personalized Nutrition Market, by Application (2019-2032)
- 14.5 South America Personalized Nutrition Market, by End Use (2019-2032)
- 14.6 South America Personalized Nutrition Market, by Form (2019-2032)
- 14.7 South America Personalized Nutrition Market, by Country (2019-2032)
- 14.7.1 Brazil
- 14.7.2 Argentina
- 14.7.3 Chile
- 14.7.4 Colombia
- 14.7.5 Rest of South America
- SECTION 15 - MIDDLE EAST AND AFRICA PERSONALIZED NUTRITION MARKET
- 15.1 Middle East and Africa Summary
- 15.2 Market Attractive Index
- 15.3 Middle East and Africa Personalized Nutrition Market, by Product (2019-2032)
- 15.4 Middle East and Africa Personalized Nutrition Market, by Application (2019-2032)
- 15.5 Middle East and Africa Personalized Nutrition Market, by End Use (2019-2032)
- 15.6 Middle East and Africa Personalized Nutrition Market, by Form (2019-2032)
- 15.7 Middle East and Africa Personalized Nutrition Market, by Country (2019-2032)
- 15.7.1 Kingdom of Saudi Arabia
- 15.7.2 South Africa
- 15.7.3 U.A.E.
- 15.7.4 Egypt
- 15.7.5 Rest of Middle East and Africa
- SECTION 16 - COMPANY SHARE ANALYSIS
- 16.1 Global Personalized Nutrition Market, Company Share Analysis
- 16.2 North America Personalized Nutrition Market, Company Share Analysis
- 16.3 Europe Personalized Nutrition Market, Company Share Analysis
- 16.4 Asia-Pacific Personalized Nutrition Market, Company Share Analysis
- SECTION 17 - COMPANY PROFILES
- 17.1 Amway
- 17.1.1 Company Snapshot
- 17.1.2 Financial Overview
- 17.1.3 Product Portfolio
- 17.1.4 Recent Developments
- 17.2 BASF
- 17.2.1 Company Snapshot
- 17.2.2 Financial Overview
- 17.2.3 Product Portfolio
- 17.2.4 Recent Developments
- 17.3 DSM
- 17.3.1 Company Snapshot
- 17.3.2 Financial Overview
- 17.3.3 Product Portfolio
- 17.3.4 Recent Developments
- 17.4 DNAfit
- 17.4.1 Company Snapshot
- 17.4.2 Financial Overview
- 17.4.3 Product Portfolio
- 17.4.4 Recent Developments
- 17.5 Care/of
- 17.5.1 Company Snapshot
- 17.5.2 Financial Overview
- 17.5.3 Product Portfolio
- 17.5.4 Recent Developments
- 17.6 Habit
- 17.6.1 Company Snapshot
- 17.6.2 Financial Overview
- 17.6.3 Product Portfolio
- 17.6.4 Recent Developments
- 17.7 Atlas Biomed Group Limited
- 17.7.1 Company Snapshot
- 17.7.2 Financial Overview
- 17.7.3 Product Portfolio
- 17.7.4 Recent Developments
- 17.8 Zipongo
- 17.8.1 Company Snapshot
- 17.8.2 Financial Overview
- 17.8.3 Product Portfolio
- 17.8.4 Recent Developments
- 17.9 Viome
- 17.9.1 Company Snapshot
- 17.9.2 Financial Overview
- 17.9.3 Product Portfolio
- 17.9.4 Recent Developments
- 17.10 Nutrigenomix
- 17.10.1 Company Snapshot
- 17.10.2 Financial Overview
- 17.10.3 Product Portfolio
- 17.10.4 Recent Developments
- SECTION 18 - RELATED REPORTS
- SECTION 19 - DISCLAIMER
RESEARCH METHODOLOGY
RESEARCH AND DATA COLLECTION
- Research articles published on Technium
- Science and MDPI
- Research publications by government approved associations and societies
DATA PRE-PROCESSING
The term "data pre-processing" refers to the collection of procedures and methods used to clean, modify, and make ready for analysis the raw data gathered during research and data collection. The completion of this phase is necessary to guarantee that the data are reliable, consistent, and appropriate for statistical analysis and other data-driven tasks. The data pre-processing ensures that the information gathered from research and data collection is comparable and expressed in standard units, by the integration of missing data pointers and algorithmic approaches.
MODELING AND FORECASTING
QUALITY ASSURANCE AND OUTPUT
Quality assurance and output involves the process of validation, adjustments, further publications of key market indicators. Extensive plausibility and consistency tests are performed on derived time series to ensure the high degree of quality of our market analysis. This quality assurance procedure also includes rigorous inspection, validation, and editing by an experienced management team to assure the dependability of the published data.