Global Digital Personalized Nutrition Market Size is valued at USD 669.3 Mn in 2024 and is predicted to reach USD 3094.0 Mn by the year 2034 at a 16.6% CAGR during the forecast period for 2025-2034.
Digital personalized nutrition is a notable progress in combining technology and healthcare. It provides a potential approach to improving individual health by delivering customized nutritional counsel. Several factors contribute to the rising new technological advancement: a robust economy, increased consumer spending, rising healthcare expenditure, and a growing population. More people have access to nutritional information than ever before because of the internet and smartphone applications. With the new technology, consumers can keep tabs on what they eat, check in on their health, and get tailored nutritional recommendations with the tap of a button.
Moreover, people are becoming more aware about health and interested in wellness, leading to a need for personalized dietary advices that take into account people's unique health conditions and lifestyle choices. Dietary advice is now being more precisely analyzed and integrated with data from genetic testing, wearables, and mobile health apps due to developments in biotechnology. Furthermore, due to the widespread availability of smartphones and high-speed internet, digital personalized nutrition services now reach more people and become an integral part of people's everyday lives.
However, stringent regulatory requirements concerned about data privacy and the general public's lack of familiarity with these services can hinder their expansion and penetration into new markets. Furthermore, Diet and nutrition play an increasingly important role in illness prevention and general health maintenance, and this is becoming more apparent on a global scale. Because of this, many are looking for individualized diet programs that are driving market growth. In addition, technical advancements and strong collaborations with fitness centres will propel the industry's growth during the forecast period.
The digital personalized nutrition market is segmented based on purchase model, end-users, and application. Based on the purchase model, the market is segmented into subscription and one-time purchases. By end-users, the market is segmented into direct consumers, wellness and fitness centres, hospitals and clinics, and institutions. By application, the market is segmented into generic health and fitness, disease-based, and sports nutrition.
The subscription category will hold a major share of the global digital personalized nutrition market in 2023. This is because subscription services use data analytics to create individualized plans and provide ongoing, personalized nutritional advice that adjusts to each person's changing health status.
In addition, subscription services make use of sophisticated algorithms and data analytics to improve the accuracy and usefulness of nutritional recommendations by including feedback from users and real-time data from wearables. This makes the nutrition programs provided much more tailored to each individual's needs. Furthermore, the subscription-based model is thriving due to the rising demand for digital convenience among consumers who want health management solutions to be seamlessly incorporated into their daily lives through applications and online platforms.
The wellness & fitness centres segment is projected to grow rapidly in the global digital personalized nutrition market because these facilities are increasingly incorporating tailored wellness and health programs. When it comes to offering all-encompassing services that utilize digital tools to assess individual health, wellness, and fitness centres, they are in a class by themselves. Digital personalized nutrition services are in high demand in this industry, and wearable tech and health apps are making it easier for these centres to monitor the development of patients and implement modifications to their programs in real-time, expanding this market's segment in the future.
The North American digital personalized nutrition market is expected to lead with the largest market share in revenue in the near future because businesses with a strong emphasis on technology and a rising number of health problems have prompted more people to embrace healthier lifestyle choices in an effort to boost their general well-being. In addition, the Europe region's market is anticipated to experience expansion in the global market for digital personalized nutrition because more people are becoming health conscious, more people are learning what constitutes good health and fitness, and more people are using digital healthcare, furthermore, as a result of the growing popularity of digital personalized nutrition solutions, which drives the market growth in this area.
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Report Attribute |
Specifications |
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Market Size Value In 2024 |
USD 669.3 Mn |
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Revenue Forecast In 2034 |
USD 3094.0 Mn |
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Growth Rate CAGR |
CAGR of 16.6% from 2025 to 2034 |
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Quantitative Units |
Representation of revenue in US$ Mn and CAGR from 2025 to 2034 |
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Historic Year |
2021 to 2024 |
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Forecast Year |
2025-2034 |
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Report Coverage |
The forecast of revenue, the position of the company, the competitive market structure, growth prospects, and trends |
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Segments Covered |
By Purchase Model, End-Users, And Application |
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Regional Scope |
North America; Europe; Asia Pacific; Latin America; Middle East & Africa |
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Country Scope |
U.S.; Canada; U.K.; Germany; China; India; Japan; Brazil; Mexico; France; Italy; Spain; Southeast Asia; South Korea |
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Competitive Landscape |
Nutrigenomix, DayTwo, CircleDNA, Ancestry, Segterra, Persona, BiogeniQ, Baze, Rootine, HealthifyMe, Caligenix, GenoPalate, Habit Food, Personalized, Levels, Culina Health, Sirka, Lifesum, Foodvisor, and Other Market Players |
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Customization Scope |
Free customization report with the procurement of the report and modifications to the regional and segment scope. Particular Geographic competitive landscape. |
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Pricing And Available Payment Methods |
Explore pricing alternatives that are customized to your particular study requirements. |
Chapter 1. Methodology and Scope
1.1. Research Methodology
1.2. Research Scope & Assumptions
Chapter 2. Executive Summary
Chapter 3. Global Digital Personalized Nutrition Market Snapshot
Chapter 4. Global Digital Personalized Nutrition Market Variables, Trends & Scope
4.1. Market Segmentation & Scope
4.2. Drivers
4.3. Challenges
4.4. Trends
4.5. Investment and Funding Analysis
4.6. Industry Analysis – Porter’s Five Forces Analysis
4.7. Competitive Landscape & Market Share Analysis
4.8. Impact of Covid-19 Analysis
Chapter 5. Market Segmentation 1: by Purchase Model Estimates & Trend Analysis
5.1. by Purchase Model & Market Share, 2024 & 2034
5.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2021 to 2034 for the following by Purchase Model:
5.2.1. Subscription
5.2.2. One Time Purchase
Chapter 6. Market Segmentation 2: by Application Estimates & Trend Analysis
6.1. by Application & Market Share, 2024 & 2034
6.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2021 to 2034 for the following by Application:
6.2.1. Generic Health & Fitness
6.2.2. Disease Based
6.2.3. Sports Nutrition
Chapter 7. Market Segmentation 3: by End-User Estimates & Trend Analysis
7.1. by End-User & Market Share, 2024 & 2034
7.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2021 to 2034 for the following by End-User:
7.2.1. Direct Consumers
7.2.2. Wellness & Fitness Centers
7.2.3. Hospitals & Clinics
7.2.4. Institutions
Chapter 8. Digital Personalized Nutrition Market Segmentation 4: Regional Estimates & Trend Analysis
8.1. North America
8.1.1. North America Digital Personalized Nutrition Market Revenue (US$ Million) Estimates and Forecasts by Purchase Model, 2021-2034
8.1.2. North America Digital Personalized Nutrition Market Revenue (US$ Million) Estimates and Forecasts by Application, 2021-2034
8.1.3. North America Digital Personalized Nutrition Market Revenue (US$ Million) Estimates and Forecasts by End-User, 2021-2034
8.1.4. North America Digital Personalized Nutrition Market Revenue (US$ Million) Estimates and Forecasts by country, 2021-2034
8.2. Europe
8.2.1. Europe Digital Personalized Nutrition Market Revenue (US$ Million) Estimates and Forecasts by Purchase Model, 2021-2034
8.2.2. Europe Digital Personalized Nutrition Market Revenue (US$ Million) Estimates and Forecasts by Application, 2021-2034
8.2.3. Europe Digital Personalized Nutrition Market Revenue (US$ Million) Estimates and Forecasts by End-User, 2021-2034
8.2.4. Europe Digital Personalized Nutrition Market Revenue (US$ Million) Estimates and Forecasts by country, 2021-2034
8.3. Asia Pacific
8.3.1. Asia Pacific Digital Personalized Nutrition Market Revenue (US$ Million) Estimates and Forecasts by Purchase Model, 2021-2034
8.3.2. Asia-Pacific Digital Personalized Nutrition Market Revenue (US$ Million) Estimates and Forecasts by Application, 2021-2034
8.3.3. Asia Pacific Digital Personalized Nutrition Market Revenue (US$ Million) Estimates and Forecasts by End-User, 2021-2034
8.3.4. Asia Pacific Digital Personalized Nutrition Market Revenue (US$ Million) Estimates and Forecasts by country, 2021-2034
8.4. Latin America
8.4.1. Latin America Digital Personalized Nutrition Market Revenue (US$ Million) Estimates and Forecasts by Purchase Model, 2021-2034
8.4.2. Latin America Digital Personalized Nutrition Market Revenue (US$ Million) Estimates and Forecasts by Application, 2021-2034
8.4.3. Latin America Digital Personalized Nutrition Market Revenue (US$ Million) Estimates and Forecasts by End-User, 2021-2034
8.4.4. Latin America Digital Personalized Nutrition Market Revenue (US$ Million) Estimates and Forecasts by country, 2021-2034
8.5. Middle East & Africa
8.5.1. Middle East & Africa Digital Personalized Nutrition Market Revenue (US$ Million) Estimates and Forecasts by Purchase Model, 2021-2034
8.5.2. Middle East & Africa Digital Personalized Nutrition Market Revenue (US$ Million) Estimates and Forecasts by Application, 2021-2034
8.5.3. Middle East & Africa Digital Personalized Nutrition Market Revenue (US$ Million) Estimates and Forecasts by End-User, 2021-2034
8.5.4. Middle East & Africa Digital Personalized Nutrition Market Revenue (US$ Million) Estimates and Forecasts by country, 2021-2034
Chapter 9. Competitive Landscape
9.1. Major Mergers and Acquisitions/Strategic Alliances
9.2. Company Profiles
9.2.1. Nutrigenomix
9.2.2. DayTwo
9.2.3. CircleDNA
9.2.4. Ancestry
9.2.5. Segterra
9.2.6. Persona
9.2.7. BiogeniQ
9.2.8. Baze
9.2.9. Rootine
9.2.10. HealthifyMe
9.2.11. Caligenix
9.2.12. GenoPalate
9.2.13. Habit Food
9.2.14. Personalized
9.2.15. Levels
9.2.16. Culina Health
9.2.17. Sirka
9.2.18. Lifesum
9.2.19. Foodvisor
9.2.20. Nutrium
9.2.21. 23ANDME
9.2.22. VIOME
9.2.23. Noom
9.2.24. Atlas Biomed
9.2.25. Other Market Players
Digital Personalized Nutrition Market By Purchase Model-
Digital Personalized Nutrition Market By End-Users-
Digital Personalized Nutrition Market By Application-
Digital Personalized Nutrition Market By Region-
North America-
Europe-
Asia-Pacific-
Latin America-
Middle East & Africa-
InsightAce Analytic follows a standard and comprehensive market research methodology focused on offering the most accurate and precise market insights. The methods followed for all our market research studies include three significant steps – primary research, secondary research, and data modeling and analysis - to derive the current market size and forecast it over the forecast period. In this study, these three steps were used iteratively to generate valid data points (minimum deviation), which were cross-validated through multiple approaches mentioned below in the data modeling section.
Through secondary research methods, information on the market under study, its peer, and the parent market was collected. This information was then entered into data models. The resulted data points and insights were then validated by primary participants.
Based on additional insights from these primary participants, more directional efforts were put into doing secondary research and optimize data models. This process was repeated till all data models used in the study produced similar results (with minimum deviation). This way, this iterative process was able to generate the most accurate market numbers and qualitative insights.
Secondary research
The secondary research sources that are typically mentioned to include, but are not limited to:
The paid sources for secondary research like Factiva, OneSource, Hoovers, and Statista
Primary Research:
Primary research involves telephonic interviews, e-mail interactions, as well as face-to-face interviews for each market, category, segment, and subsegment across geographies
The contributors who typically take part in such a course include, but are not limited to:
Data Modeling and Analysis:
In the iterative process (mentioned above), data models received inputs from primary as well as secondary sources. But analysts working on these models were the key. They used their extensive knowledge and experience about industry and topic to make changes and fine-tuning these models as per the product/service under study.
The standard data models used while studying this market were the top-down and bottom-up approaches and the company shares analysis model. However, other methods were also used along with these – which were specific to the industry and product/service under study.
To know more about the research methodology used for this study, kindly contact us/click here.
