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.
| Report Attribute | Specifications |
| Market Size Value In 2024 | USD 669.3 Mn |
| Revenue Forecast In 2034 | USD 3094.0 Mn |
| Growth Rate CAGR | CAGR of 16.6% from 2025 to 2034 |
| Quantitative Units | Representation of revenue in US$ Mn and CAGR from 2025 to 2034 |
| Historic Year | 2021 to 2024 |
| Forecast Year | 2025-2034 |
| Report Coverage | The forecast of revenue, the position of the company, the competitive market structure, growth prospects, and trends |
| Segments Covered | By Purchase Model, End-Users, And Application |
| Regional Scope | North America; Europe; Asia Pacific; Latin America; Middle East & Africa |
| Country Scope | U.S.; Canada; U.K.; Germany; China; India; Japan; Brazil; Mexico; France; Italy; Spain; Southeast Asia; South Korea |
| 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 |
| Customization Scope | Free customization report with the procurement of the report and modifications to the regional and segment scope. Particular Geographic competitive landscape. |
| Pricing And Available Payment Methods | Explore pricing alternatives that are customized to your particular study requirements. |
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-
This study employed a multi-step, mixed-method research approach that integrates:
This approach ensures a balanced and validated understanding of both macro- and micro-level market factors influencing the market.
Secondary research for this study involved the collection, review, and analysis of publicly available and paid data sources to build the initial fact base, understand historical market behaviour, identify data gaps, and refine the hypotheses for primary research.
Secondary data for the market study was gathered from multiple credible sources, including:
These sources were used to compile historical data, market volumes/prices, industry trends, technological developments, and competitive insights.
Primary research was conducted to validate secondary data, understand real-time market dynamics, capture price points and adoption trends, and verify the assumptions used in the market modelling.
Primary interviews for this study involved:
Interviews were conducted via:
Primary insights were incorporated into demand modelling, pricing analysis, technology evaluation, and market share estimation.
All collected data were processed and normalized to ensure consistency and comparability across regions and time frames.
The data validation process included:
This ensured that the dataset used for modelling was clean, robust, and reliable.
The bottom-up approach involved aggregating segment-level data, such as:
This method was primarily used when detailed micro-level market data were available.
The top-down approach used macro-level indicators:
This approach was used for segments where granular data were limited or inconsistent.
To ensure accuracy, a triangulated hybrid model was used. This included:
This multi-angle validation yielded the final market size.
Market forecasts were developed using a combination of time-series modelling, adoption curve analysis, and driver-based forecasting tools.
Given inherent uncertainties, three scenarios were constructed:
Sensitivity testing was conducted on key variables, including pricing, demand elasticity, and regional adoption.