
Digital Personalized Nutrition Market - Global Outlook & Forecast 2024-2029
Description
Digital Personalized Nutrition Market - Global Outlook & Forecast 2024-2029
The global digital personalized nutrition market was valued at USD 590 million in 2023 and is expected to grow at a CAGR of 17.75% from 2023-2029.
Recent Developments in the Global Digital Personalized Nutrition Market
- Noom has introduced a new family plan option, which enables multiple family members to share personalized coaching and recommendations, promoting healthy habits and community within the household.
- Noom launched a program that is particularly personalized for managing pre-diabetes and preventing type 2 diabetes, leveraging data analysis to foresee and avoid blood sugar spikes.
- Viome acquired Naring Health, a digital health and wellness company, in 2023 to expand its offering for continuous early disease detection, health monitoring, and personalized care into its services.
- Viome introduced Gut Intelligence Plus, a program combining their core Gut Intelligence test with ongoing blood sugar monitoring, sleep patterns, and inflammatory markers. This provides a real-time picture of a person’s responses to diet and lifestyle changes, allowing for continuous modifications to personalized recommendations.
- InsideTracker (Segterra) partnership with Garmin: this collaboration integrated InsideTracker's insights with Garmin's wearables and fitness trackers. Consumers can connect their Garmin devices to InsideTracker, which enables seamless data transfer and a more inclusive view of their health and performance.
Increasing Smartphone Penetration and MHealth Application
Factors such as the increased adoption of smartphones and tablets in developing countries have led to the increasing engagement of the population in digital health programs. Moreover, the rising disposable income enables the population to purchase smartphones over traditional mobile devices, leading to an increasing number of digital personalized nutrition operators, thereby driving the market. As mobile phone usage is pervasive, and mobile apps directed at personalized nutrition are flooding the app market, mobile health (mHealth) interventions, which use technologies and mobile devices for personalized nutrition, are gaining popularity. The rise in the number of smartphones sold and increased familiarity are the primary drivers for the rise in the operators of digital personalized nutrition programs. The increasing penetration of smartphones enables more consumers to easily access digital personalized nutrition services, thus driving the digital customized nutrition market.
Rising Integration with Wearables and Apps
In real-time, wearables track several health metrics, including sleep patterns, activity levels, blood oxygen levels, heart rate, and even glucose levels. This data offers valuable insights into a person's physiological responses to different exercise, foods, and lifestyle choices. Apps seamlessly integrate with wearables to obtain and analyze this data, creating personalized reports and actionable recommendations. Further, there has been a considerable increase in the popularity of smart gadgets and the number of nutritional applications and customized dietary programs. Wearable and mobile sensor technologies are valuable tools in personalized nutrition as they are used to obtain accurate and precise diet and nutrient intake measurements. Increasing technological advances and an enhanced understanding of the system are helping to pursue personalized disease prevention and treatment interventions. The smart patch is a significant evolution in wearable health monitoring technology. It combines a sensing platform and stretchable electronics for improving conformity to the skin. This health technology offers personalization as well as power.
INDUSTRY RESTRAINTS
Data Privacy and Security Concerns
Security and privacy risks are significant challenges for the digital personalized nutrition market because the nature of data and how providers use it are vulnerable to cybersecurity attacks and data theft. Platforms, including wearable and connected medical devices, smartphones, tablets, and remote monitoring systems, are exposed to potential hacks and security breaches, which can adversely impact the safety and effectiveness of the overall outcome of services. The increased internet connectivity of wearable medical devices increases the risk of confidential health data being hacked and used for illegal purposes.
SEGMENTATION INSIGHTS
INSIGHTS BY PURCHASE MODEL
The global digital personalized nutrition market by purchase model is segmented into subscription and one-time purchases. The subscription-based segment is expected to be the largest revenue segment of the market. With the booming recurring subscription segment, the digital personalized nutrition market is growing significantly. This model provides users ongoing access to personalized meal plans, recipe updates, coaching, and others in exchange for a regular fee. The subscription landscape continuously grows, with new players emerging to serve niches. These include apps focusing on health conditions such as diabetes or gut health, cultural or religious dietary restrictions like vegan, food allergies and intolerances like gluten-free and dairy-free, and athletic performance and training tailored nutrition plans for athletes. The recurring subscription segment holds huge potential for continued growth in the digital personalized nutrition market. By understanding user requirements, providing distinctive value propositions, and adapting to growing trends, players in this sector can flourish and contribute to a healthier future.
Segmentation by Purchase Model
- Subscription
- One Time Purchase
The direct consumer end-user segment is expected to be the largest revenue segment of the global digital personalized nutrition market. The digital personalized nutrition market for direct consumers has witnessed considerable growth in recent years, led by technological advancements and increasing awareness of the significance of personalized health and wellness. This market leverages digital platforms to provide personalized nutrition plans and recommendations based on a person’s requirements, preferences, and health goals. Using data analytics, algorithms, and sometimes even genetic information, users can access personalized data that direct them in making well-versed dietary choices. This approach enhances user engagement by providing a more interactive and responsive experience. The ease of digitally accessing these services has further propelled the market's expansion, enabling users to take control of their health through a tech-driven and customized approach to nutrition.
Segmentation by End-Users
- Direct Consumers
- Wellness & Fitness Centers
- Hospitals & Clinics
- Institutions
The global digital personalized nutrition market by application is segmented into generic health & fitness, disease-based, and sports nutrition. The generic health & fitness segment is expected to be the largest revenue segment of the global market in 2023. The digital personalized nutrition market for generic health and fitness includes weight management, addressing food allergies, optimizing gut health, and improving overall well-being; these platforms provide personalized solutions that allow individuals to make personalized and informed choices for their health. Weight management is a critical component of personalized nutrition, and digital tools surpass in offering precise recommendations. Further, addressing food allergies is another major aspect of digital personalized nutrition. By analyzing genetic data and considering known allergies, these platforms can advise alternative food options that align with a person's nutritional requirements. Gut health and microbiome optimization are increasingly recognized as vital elements of overall well-being. Due to the continuous technological advancements, the potential for even more sophisticated and comprehensive approaches to personalized nutrition has a promising future where individuals can attain and maintain optimal health through highly customized strategies.
Segmentation by Application
- Generic Health & Fitness
- Disease Based
- Sports Nutrition
North America held the largest global digital personalized nutrition market share, accounting for over 42% in 2023. The increasing awareness of health and wellness, as well as the spread of highly nutritious products and services, is driving the demand for digital personalized nutrition in North America, as eating habits are one of the significant causes of lifestyle diseases. People are facing lifestyle disorders due to changes in lifestyle and irregularities in nutrition consumption, thereby driving the demand for digital personalized nutrition in the region.
Segmentation by Geography
- North America
- The U.S.
- Canada
- Europe
- Germany
- The U.K.
- France
- Italy
- Spain
- Netherlands
- Sweden
- APAC
- China
- Japan
- South Korea
- India
- Australia
- Singapore
- Indonesia
- Latin America
- Brazil
- Mexico
- Colombia
- Middle East & Africa
- South Africa
- UAE
- Saudi Arabia
- Turkey
The digital personalized nutrition market is highly competitive due to the presence of numerous players. Rapid technological improvements adversely impact market vendors as consumers expect continuous innovations and upgrades in products. Most major vendors are adopting innovative technologies to retain their industry position.
Key Company Profiles
- Nutrigenomix
- 23andMe
- Viome
- Noom
- Atlas Biomed
- DayTwo
- CircleDNA
- Ancestry
- Second Nature
- Care/of
- Segterra
- Persona
- BiogeniQ
- Baze
- Nutrisense
- Rootine
- HealthifyMe
- Caligenix
- GenoPalate
- Habit Food, Personalized
- Levels
- Culina Health
- Sirka
- Lifesum
- Foodvisor
- Nutrium
1. How big is the digital personalized nutrition market?
2. What is the growth rate of the global digital personalized nutrition market?
3. Which region dominates the global digital personalized nutrition market share?
4. What are the significant trends in the digital personalized nutrition market?
5. Who are the key players in the global digital personalized nutrition market?
Table of Contents
265 Pages
- 1. SCOPE & COVERAGE
- 1.1. MARKET DEFINITION
- 1.1.1. INCLUSIONS
- 1.1.2. EXCLUSIONS
- 1.1.3. MARKET ESTIMATION CAVEATS
- 1.2. SEGMENTS COVERED & DEFINITIONS
- 1.2.1. MARKET SEGMENTATION BY PURCHASE MODEL
- 1.2.2. MARKET SEGMENTATION BY END-USERS
- 1.2.3. MARKET SEGMENTATION BY APPLICATION
- 1.3. REGIONS & COUNTRIES COVERED
- 1.4. MARKET DERIVATION
- 1.4.1. BASE YEAR
- 2. PREMIUM INSIGHTS
- 2.1. OPPORTUNITY POCKETS
- 2.2. MARKET OVERVIEW
- 2.3. RECENT DEVELOPMENTS
- 2.4. MARKET DYNAMICS
- 2.4.1. MARKET TRENDS
- 2.4.2. MARKET DRIVERS
- 2.4.3. MARKET RESTRAINTS
- 2.4.4. SEGMENT ANALYSIS
- 2.4.5. INSIGHTS BY PURCHASE MODEL
- 2.4.6. INSIGHTS BY END-USERS
- 2.4.7. INSIGHTS BY APPLICATION
- 2.5. GEOGRAPHICAL ANALYSIS
- 2.6. COMPETITIVE LANDSCAPE
- 3. MARKET AT A GLANCE
- 4. INTRODUCTION
- 4.1. OVERVIEW
- 4.2. MEASURING TOOLS
- 4.3. VALUE CHAIN ANALYSIS
- 4.4. CONSUMER BEHAVIOUR
- 4.5. DIGITAL TWINS REVOLUTIONIZING PERSONALIZED NUTRITION
- 4.6. EVOLUTION OF DIGITAL PERSONALIZED NUTRITION
- 5. MARKET OPPORTUNITIES & TRENDS
- 5.1. RISE IN INTEGRATION WITH WEARABLES AND APPS
- 5.2. GROWTH IN REIGN OF ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING
- 5.3. GROWTH IN SUBSCRIPTION-BASED MODELS
- 6. MARKET GROWTH ENABLERS
- 6.1. GROWTH IN DIGITAL HEALTHCARE
- 6.2. INCREASE IN SMARTPHONE PENETRATION AND MHEALTH APPLICATION
- 6.3. GROWTH IN HEALTH AWARENESS AMONG CONSUMERS
- 7. MARKET RESTRAINTS
- 7.1. DATA PRIVACY AND SECURITY CONCERNS
- 7.2. LACK OF CONSUMER ADOPTION IN DEVELOPING REGIONS
- 7.3. STRINGENT REGULATORY LANDSCAPE
- 8. MARKET LANDSCAPE
- 8.1. MARKET OVERVIEW
- 8.2. MARKET SIZE & FORECAST
- 8.3. FIVE FORCES ANALYSIS
- 8.3.1. THREAT OF NEW ENTRANTS
- 8.3.2. BARGAINING POWER OF SUPPLIERS
- 8.3.3. BARGAINING POWER OF BUYERS
- 8.3.4. THREAT OF SUBSTITUTES
- 8.3.5. COMPETITIVE RIVALRY
- 9. PURCHASE MODEL
- 9.1. MARKET SNAPSHOT & GROWTH ENGINE
- 9.2. MARKET OVERVIEW
- 9.3. SUBSCRIPTION
- 9.3.1. MARKET SIZE & FORECAST
- 9.3.2. MARKET BY GEOGRAPHY
- 9.4. ONE TIME PURCHASE
- 9.4.1. MARKET SIZE & FORECAST
- 9.4.2. MARKET BY GEOGRAPHY
- 10. END-USERS
- 10.1. MARKET SNAPSHOT & GROWTH ENGINE
- 10.2. MARKET OVERVIEW
- 10.3. DIRECT CONSUMERS
- 10.3.1. MARKET SIZE & FORECAST
- 10.3.2. MARKET BY GEOGRAPHY
- 10.4. WELLNESS & FITNESS CENTERS
- 10.4.1. MARKET SIZE & FORECAST
- 10.4.2. MARKET BY GEOGRAPHY
- 10.5. HOSPITALS & CLINICS
- 10.5.1. MARKET SIZE & FORECAST
- 10.5.2. MARKET BY GEOGRAPHY
- 10.6. INSTITUTIONS
- 10.6.1. MARKET SIZE & FORECAST
- 10.6.2. MARKET BY GEOGRAPHY
- 11. APPLICATION
- 11.1. MARKET SNAPSHOT & GROWTH ENGINE
- 11.2. MARKET OVERVIEW
- 11.3. GENERIC HEALTH & FITNESS
- 11.3.1. MARKET SIZE & FORECAST
- 11.3.2. MARKET BY GEOGRAPHY
- 11.4. DISEASE BASED
- 11.4.1. MARKET SIZE & FORECAST
- 11.4.2. MARKET BY GEOGRAPHY
- 11.5. SPORTS NUTRITION
- 11.5.1. MARKET SIZE & FORECAST
- 11.5.2. MARKET BY GEOGRAPHY
- 12. GEOGRAPHY
- 12.1. MARKET SNAPSHOT & GROWTH ENGINE
- 12.2. GEOGRAPHIC OVERVIEW
- 13. NORTH AMERICA
- 13.1. MARKET OVERVIEW
- 13.2. MARKET SIZE & FORECAST
- 13.3. PURCHASE MODEL
- 13.3.1. MARKET SIZE & FORECAST
- 13.4. END-USERS
- 13.4.1. MARKET SIZE & FORECAST
- 13.5. APPLICATION
- 13.5.1. MARKET SIZE & FORECAST
- 13.6. KEY COUNTRIES
- 13.6.1. US: MARKET SIZE & FORECAST
- 13.6.2. CANADA: MARKET SIZE & FORECAST
- 14. EUROPE
- 14.1. MARKET OVERVIEW
- 14.2. MARKET SIZE & FORECAST
- 14.3. PURCHASE MODEL
- 14.3.1. MARKET SIZE & FORECAST
- 14.4. END-USERS
- 14.4.1. MARKET SIZE & FORECAST
- 14.5. APPLICATION
- 14.5.1. MARKET SIZE & FORECAST
- 14.6. KEY COUNTRIES
- 14.6.1. GERMANY: MARKET SIZE & FORECAST
- 14.6.2. UK: MARKET SIZE & FORECAST
- 14.6.3. FRANCE: MARKET SIZE & FORECAST
- 14.6.4. ITALY: MARKET SIZE & FORECAST
- 14.6.5. SPAIN: MARKET SIZE & FORECAST
- 14.6.6. NETHERLANDS: MARKET SIZE & FORECAST
- 14.6.7. SWEDEN: MARKET SIZE & FORECAST
- 15. APAC
- 15.1. MARKET OVERVIEW
- 15.2. MARKET SIZE & FORECAST
- 15.3. PURCHASE MODEL
- 15.3.1. MARKET SIZE & FORECAST
- 15.4. END-USERS
- 15.4.1. MARKET SIZE & FORECAST
- 15.5. APPLICATION
- 15.5.1. MARKET SIZE & FORECAST
- 15.6. KEY COUNTRIES
- 15.6.1. CHINA: MARKET SIZE & FORECAST
- 15.6.2. JAPAN: MARKET SIZE & FORECAST
- 15.6.3. SOUTH KOREA: MARKET SIZE & FORECAST
- 15.6.4. INDIA: MARKET SIZE & FORECAST
- 15.6.5. AUSTRALIA: MARKET SIZE & FORECAST
- 15.6.6. SINGAPORE: MARKET SIZE & FORECAST
- 15.6.7. INDONESIA: MARKET SIZE & FORECAST
- 16. LATIN AMERICA
- 16.1. MARKET OVERVIEW
- 16.2. MARKET SIZE & FORECAST
- 16.3. PURCHASE MODEL
- 16.3.1. MARKET SIZE & FORECAST
- 16.4. END-USERS
- 16.4.1. MARKET SIZE & FORECAST
- 16.5. APPLICATION
- 16.5.1. MARKET SIZE & FORECAST
- 16.6. KEY COUNTRIES
- 16.6.1. BRAZIL: MARKET SIZE & FORECAST
- 16.6.2. MEXICO: MARKET SIZE & FORECAST
- 16.6.3. COLOMBIA: MARKET SIZE & FORECAST
- 17. MIDDLE EAST & AFRICA
- 17.1. MARKET OVERVIEW
- 17.2. MARKET SIZE & FORECAST
- 17.3. PURCHASE MODEL
- 17.3.1. MARKET SIZE & FORECAST
- 17.4. END-USERS
- 17.4.1. MARKET SIZE & FORECAST
- 17.5. APPLICATION
- 17.5.1. MARKET SIZE & FORECAST
- 17.6. KEY COUNTRIES
- 17.6.1. SOUTH AFRICA: MARKET SIZE & FORECAST
- 17.6.2. UAE: MARKET SIZE & FORECAST
- 17.6.3. SAUDI ARABIA: MARKET SIZE & FORECAST
- 17.6.4. TURKEY: MARKET SIZE & FORECAST
- 18. COMPETITIVE LANDSCAPE
- 18.1. COMPETITION OVERVIEW
- 19. KEY COMPANY PROFILES
- 19.1. NUTRIGENOMIX
- 19.1.1. BUSINESS OVERVIEW
- 19.1.2. PRODUCT/SERVICE OFFERINGS
- 19.1.3. KEY STRATEGIES
- 19.1.4. KEY STRENGTHS
- 19.1.5. KEY OPPORTUNITIES
- 19.2. 23ANDME
- 19.2.1. BUSINESS OVERVIEW
- 19.2.2. PRODUCT/SERVICE OFFERINGS
- 19.2.3. KEY STRATEGIES
- 19.2.4. KEY STRENGTHS
- 19.2.5. KEY OPPORTUNITIES
- 19.3. VIOME
- 19.3.1. BUSINESS OVERVIEW
- 19.3.2. PRODUCT/SERVICE OFFERINGS
- 19.3.3. KEY STRATEGIES
- 19.3.4. KEY STRENGTHS
- 19.3.5. KEY OPPORTUNITIES
- 19.4. NOOM
- 19.4.1. BUSINESS OVERVIEW
- 19.4.2. PRODUCT/SERVICE OFFERINGS
- 19.4.3. KEY STRATEGIES
- 19.4.4. KEY STRENGTHS
- 19.4.5. KEY OPPORTUNITIES
- 19.5. ATLAS BIOMED
- 19.5.1. BUSINESS OVERVIEW
- 19.5.2. PRODUCT/SERVICE OFFERINGS
- 19.5.3. KEY STRATEGIES
- 19.5.4. KEY STRENGTHS
- 19.5.5. KEY OPPORTUNITIES
- 20. OTHER PROMINENT VENDORS
- 20.1. DAYTWO
- 20.1.1. BUSINESS OVERVIEW
- 20.1.2. PRODUCT/SERVICE OFFERINGS
- 20.2. CIRCLEDNA
- 20.2.1. BUSINESS OVERVIEW
- 20.2.2. PRODUCT/SERVICE OFFERINGS
- 20.3. ANCESTRY
- 20.3.1. BUSINESS OVERVIEW
- 20.3.2. PRODUCT/SERVICE OFFERINGS
- 20.4. SECOND NATURE
- 20.4.1. BUSINESS OVERVIEW
- 20.4.2. PRODUCT/SERVICE OFFERINGS
- 20.5. CARE/OF
- 20.5.1. BUSINESS OVERVIEW
- 20.5.2. PRODUCT/SERVICE OFFERINGS
- 20.6. SEGTERRA
- 20.6.1. BUSINESS OVERVIEW
- 20.6.2. PRODUCT/SERVICE OFFERINGS
- 20.7. PERSONA
- 20.7.1. BUSINESS OVERVIEW
- 20.7.2. PRODUCT/SERVICE OFFERINGS
- 20.8. BIOGENIQ
- 20.8.1. BUSINESS OVERVIEW
- 20.8.2. PRODUCT/SERVICE OFFERINGS
- 20.9. BAZE
- 20.9.1. BUSINESS OVERVIEW
- 20.9.2. PRODUCT/SERVICE OFFERINGS
- 20.10. NUTRISENSE
- 20.10.1. BUSINESS OVERVIEW
- 20.10.2. PRODUCT/SERVICE OFFERINGS
- 20.11. ROOTINE
- 20.11.1. BUSINESS OVERVIEW
- 20.11.2. PRODUCT/SERVICE OFFERINGS
- 20.12. HEALTHIFYME
- 20.12.1. BUSINESS OVERVIEW
- 20.12.2. PRODUCT/SERVICE OFFERINGS
- 20.13. CALIGENIX
- 20.13.1. BUSINESS OVERVIEW
- 20.13.2. PRODUCT/SERVICE OFFERINGS
- 20.14. GENOPALATE
- 20.14.1. BUSINESS OVERVIEW
- 20.14.2. PRODUCT/SERVICE OFFERINGS
- 20.15. HABIT FOOD, PERSONALIZED
- 20.15.1. BUSINESS OVERVIEW
- 20.15.2. PRODUCT/SERVICE OFFERINGS
- 20.16. LEVELS
- 20.16.1. BUSINESS OVERVIEW
- 20.16.2. PRODUCT/SERVICE OFFERINGS
- 20.17. CULINA HEALTH
- 20.17.1. BUSINESS OVERVIEW
- 20.17.2. PRODUCT/SERVICE OFFERINGS
- 20.18. SIRKA
- 20.18.1. BUSINESS OVERVIEW
- 20.18.2. PRODUCT/SERVICE OFFERINGS
- 20.19. LIFESUM
- 20.19.1. BUSINESS OVERVIEW
- 20.19.2. PRODUCT/SERVICE OFFERINGS
- 20.20. FOODVISOR
- 20.20.1. BUSINESS OVERVIEW
- 20.20.2. PRODUCT/SERVICE OFFERINGS
- 20.21. NUTRIUM
- 20.21.1. BUSINESS OVERVIEW
- 20.21.2. PRODUCT/SERVICE OFFERINGS
- 21. REPORT SUMMARY
- 21.1. KEY TAKEAWAYS
- 21.2. STRATEGIC RECOMMENDATIONS
- 22. QUANTITATIVE SUMMARY
- 22.1. MARKET BY GEOGRAPHY
- 22.2. NORTH AMERICA
- 22.2.1. PURCHASE MODEL
- 22.2.2. END-USERS
- 22.2.3. APPLICATION
- 22.3. EUROPE
- 22.3.1. PURCHASE MODEL
- 22.3.2. END-USERS
- 22.3.3. APPLICATION
- 22.4. APAC
- 22.4.1. PURCHASE MODEL
- 22.4.2. END-USERS
- 22.4.3. APPLICATION
- 22.5. LATIN AMERICA
- 22.5.1. PURCHASE MODEL
- 22.5.2. END-USERS
- 22.5.3. APPLICATION
- 22.6. MIDDLE EAST & AFRICA
- 22.6.1. PURCHASE MODEL
- 22.6.2. END-USERS
- 22.6.3. APPLICATION
- 22.7. MARKET BY PURCHASE MODEL
- 22.7.1. SUBSCRIPTION
- 22.7.2. ONE TIME PURCHASE
- 22.8. MARKET BY END-USERS
- 22.8.1. DIRECT CONSUMERS
- 22.8.2. WELLNESS & FITNESS CENTERS
- 22.8.3. HOSPITALS & CLINICS
- 22.8.4. INSTITUTIONS
- 22.9. MARKET BY APPLICATION
- 22.9.1. GENERIC HEALTH & FITNESS
- 22.9.2. DISEASE BASED
- 22.9.3. SPORTS NUTRITION
- 23. APPENDIX
- 23.1. RESEARCH METHODOLOGY
- 23.2. RESEARCH PROCESS
- 23.3. REPORT ASSUMPTIONS & CAVEATS
- 23.3.1. KEY CAVEATS
- 23.3.2. CURRENCY CONVERSION
- 23.4. ABBREVIATIONS
Pricing
Currency Rates
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