Digital Personalized Nutrition Market - Global Outlook & Forecast 2024-2029

List of Tables

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.

MARKET TRENDS & DRIVERS

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

INSIGHTS BY END-USERS

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

INSIGHTS BY APPLICATION

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

GEOGRAPHICAL ANALYSIS

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

COMPETITIVE LANDSCAPE

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

Other Prominent Vendors

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

KEY QUESTIONS ANSWERED:

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?

Product Code: ARZ240203

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