Abstract
The United Nations Decade of Nutrition was declared on 1 April 2016 to accelerate action to achieve global nutrition and diet-related non-communicable disease targets by 2025. Meal delivery applications offering takeaway meals and ready-to-eat foods from restaurant kitchen to doorstep via a third-party courier, have proliferated as a new digital dimension to traditional food environments. These digital platforms threaten to disrupt progress towards creating a health-enabling food environment. This article outlines the emergence of the digital food environment—its dimensions, actors and target users, and critically appraises the research on the public health impact of meal delivery applications to-date. We propose a research agenda to measure, monitor and mitigate the risks which meal delivery applications pose to population health and wellbeing, which may impact the United Nation’s Decade of Action on Nutrition. The rapidly evolving digital era of new technologies and innovation presents a unique window of opportunity for public health research and policy.
Similar content being viewed by others
Digital food environments
Digitalisation and technological innovations have transformed all aspects of life—including the way people can access food. The term ‘digital food environments’ was first conceptualised by Granheim et al. in a systematic scoping review of 357 studies [1]. The review identified online grocery retail and online food delivery services of fast food and other ready meals, as part of the dominant typology of food vendors in the digital food environment [1]. A narrative review has further characterised the digital food environment into three main components including: (1) meal delivery applications ‘apps’ (or online food delivery of fast food and other ready meals), (2) online groceries and (3) meal-kit subscription services [2]. These online platforms have increased access to unhealthy foods [3].
Meal delivery applications
Meal delivery apps coordinate orders between customers and food retailers. High smartphone penetration, the growth of e-commerce, the rise of technology companies such as Uber, and the sharing economy have allowed meal delivery apps to flourish over the past decade [4]. The meal delivery market worldwide is projected to reach a revenue of US$435.30 billion in 2024, which reflects a tremendous increase from US$109.30 billion generated in 2017 [5]. By 2029, the number of meal delivery app users is expected to reach 2.7 billion worldwide [5]. The following are leading meal delivery apps in their respective markets across the globe [6]:
-
China: Ele.me, Meituan, Dianping
-
Australia and New Zealand: UberEats*, Menulog**, DoorDash
-
North America: GrubHub, UberEats, Postmates*
-
Europe: Gorillas, Deliveroo, Flink, Just Eat**, UberEats, Wolt
-
Southeast Asia: Grab, Gojek, Delivery Hero
-
South America: Rappi, iFood
-
India: Zomato
*Postmates is a subsidiary of UberEats.
**Menulog is a subsidiary of the global Just Eat Takeaway.com network.
A growing body of evidence indicates that these applications predominantly offer unhealthy fast foods [7] which are heavily promoted through value bundles and have increased visibility on the platform [8, 9]. While the research to-date has largely been conducted in high-income countries [10], evidence indicates that the emergence of meal delivery applications (‘apps’) may exacerbate unhealthy diets contributing to non-communicable diseases [11, 12], and undermine global efforts to improve population diets and nutrition. In this article, we outline how meal delivery apps act as digital disruptors to the efforts undertaken to achieve the desired targets as outlined in the Nutrition Decade.
United Nations Decade of Action on Nutrition
The United Nations General Assembly proclaimed the Decade of Action on Nutrition in 2016 to achieve global nutrition and diet-related non-communicable disease (NCD) targets by 2025 [13]. Creating safe and supportive environments for nutrition at all ages is one of six key action areas of the Nutrition Decade which aims to promote availability, affordability, promotion and quality of food supporting healthy diets.
In a mid-term review of the Nutrition Decade, priority actions to achieve safe and supportive environments for nutrition were identified for 2021–2025. This included: first, to scale-up implementation of regulatory policies by leveraging recent momentum and learnings from country experiences such as sugar-sweetened beverage taxes, marketing restrictions and front-of-pack nutrition labelling [14]. Second, to develop and implement regulatory or voluntary approaches to increase availability of healthy choices and create a supportive environment for nutrition [14]. Third, to revitalise action in key policy areas which have stagnated or deteriorated recently [14].
The digitalisation of food environments and emergence of meal delivery applications have likely undermined efforts towards these priority actions which include creating safe and supportive environments for nutrition. We outline a research agenda to measure, monitor and mitigate the risks which meal delivery apps pose to population diets and health. This agenda aims to highlight meal delivery apps as a disruptor to the Nutrition Decade and advance actions on improving global nutrition into the next decade and beyond (Fig. 1).
Research agenda
Measuring the public health impact of meal delivery apps
It is essential for future research to measure the extent to which the meal delivery apps impact health and identify the risks which meal delivery apps pose to current food environments. This includes measuring what products are being sold and how, how and why consumers use meal delivery apps and the trends of its use across different time periods (when) and population groups (by whom).
In most countries globally, the popularity of meal delivery apps is rising rapidly, primarily due to the easy access and the convenience of ordering from a wide variety of food retailers with home delivery options [15, 16]. This has led to an increased use of, and dependence on, meal delivery apps for food purchases and consumption of food. A systematic review has also shown that meal delivery app use increased during COVID-19 restrictions when physical access to foods was limited [17]. Since the COVID-19 pandemic, these platforms are swiftly expanding their services to now include groceries, alcohol and other essentials (e.g., pharmacies), making them more lucrative for consumers. Moving forward, it is imperative to observe whether meal delivery apps continue to increase in usage or popularity, in addition to any changes in products (such as food, alcohol) or food outlets available over time.
Research has established that meal delivery apps offer an abundance of energy-dense and nutrient poor foods [18]. Moreover, a systematic scoping review suggests that meal delivery apps appear to have a negative impact on health by promoting the sale and consumption of unhealthy foods and beverages [19]. Despite these findings which suggest high availability and promotion of unhealthy foods, there is limited research on what users of meal delivery apps are purchasing and consuming, and how their intake of these foods, may be contributing to poorer health outcomes. Of concern, market research from Australia suggests that young people aged between 16 to 35 years are the highest users [20]. This is a critical life stage where many lifestyle behaviours are formed [21] which are known to be notoriously difficult to undo or change in later adulthood [22]. This is also the life stage when prevalence of overweight and obesity increases the fastest [23]. Adolescents especially, are a target market for food and beverage companies as they are viewed as ‘lifelong’ customers to build brand recognition, brand preference and brand loyalty [24]. It is therefore critical to continue measuring how young people are using meal delivery apps.
A study using mobile ecological momentary assessment, captured 124 meal delivery events from 58 unique participants between 16–35 years and showed majority of orders were unhealthy foods such as pizza and fried chicken [25]. Further research is needed to measure the use of meal delivery apps in real-time, and how meal delivery apps contribute to an individual’s overall diet or used as a source of everyday food. Future studies could consider establishing large ‘digital cohorts’ to capture online food marketing data used by meal delivery apps targeting young people in near real time. These digital cohorts are currently being discussed as a data collection method in studies on diabetes [26] and e-cigarette use [27].
Monitoring the reach and public health impact of meal delivery apps
A vast amount of research on ‘neighbourhood food environments’ have typically focused on investigating associations between stores or restaurants within a geographic boundary such as postcodes or census tracts [28]. The evidence surrounding the influence of local food environments on health are mixed. A systematic review of 38 studies conducted by Caspi et al. in 2012, showed moderate evidence to support the hypothesis that neighbourhood food environments influence dietary health [29]. Many included studies reported an association between food accessibility and dietary outcomes such as a higher vegetable consumption among those that live furthest from a fast-food outlet. Despite this, several other studies reported a null association [29]. These inconsistent findings are reported widely across additional systematic reviews in the field [30,31,32].
Emerging research suggests that meal delivery apps allow users to order food from over 3 km away [18] and this could alter any existing associations between food environments and dietary outcomes. The expansive nature of meal delivery apps may change the concept of ‘neighbourhood’ or ‘local food environments’, which is typically comprised of food outlets within a 1 km radius of a person’s home [33]. Meal delivery apps can now provide individuals access to a much wider range of outlets [7, 18]. Therefore, individuals and communities may now be experiencing ‘hybrid’ food environments with access to foods within their local environments, in addition to their online food environments [34]. Hybrid food environments may exacerbate local food environments by increasing access to all types of foods, including unhealthy foods. It is unclear how this may impact vulnerable groups of lower socioeconomic status, as research suggests there is a higher density of fast-food outlets in these deprived areas [35, 36]. Monitoring the reach and impact of meal delivery apps on local food environments is therefore a key research priority. The World Health Organization Regional Office for Europe and research groups in Australia have developed monitoring tools and dashboards [34, 37]. These have capacity for further surveillance of the meal delivery application market, sales volumes and customer profiles.
Marketing techniques used by meal delivery apps have also been highlighted as a concern that requires further monitoring. There is some evidence to suggest these have been employed to primarily promote energy-dense nutrient-poor foods on meal delivery apps [7]. However, there is no evidence on the extent to which the consumers are exposed to and engaged with the marketing techniques on meal delivery apps. The mechanism through which the marketing techniques influence purchase and consumption of foods on meal delivery apps also remains unclear. These are important areas for further monitoring which can be used to urge government action on the regulation of meal delivery apps.
Mitigating the public health risks associated with meal delivery apps
Currently, meal delivery apps operate with little government oversight [10]. This is despite calls from public health for greater regulation in this sector [38, 39] and demonstrates an important research gap needed to mitigate the public health risks associated with meal delivery apps. Research is needed to ascertain which existing policies do, or do not address meal delivery apps and to what extent. The novel, dynamic nature of these apps means that regulations targeting them will also need to be innovative, and adaptable as the platforms evolve and change over time. In response, research will need to inform the development and evaluation of new and existing regulations for their effectiveness in limiting the public health impact of meal delivery apps.
Importantly, while use of meal delivery apps is on the rise, access to the other traditional modes of food purchasing continue to remain relevant [16]. This indicates an opportunity to strengthen the existing regulations for traditional food environments affecting food served in restaurants or cafes. These policies may be adapted to include meal delivery apps and apply to online food environments. For example, ensuring existing kilojoule menu labelling laws are applied to the same standard online compared to physical stores could be a way to inform purchasing decisions [40]. Additionally, there have also been suggestions to enhance the positioning of healthy options in the app’s menu, through algorithmic boosting of healthier options [38]. However, these initiatives need to be evaluated for their impact on food purchasing decisions.
Research analysing the corporate strategies and activities of meal delivery apps will be important to understand what activities they may use to attempt to resist government regulation and help to inform public health messaging to hold this sector accountable. Previous studies have analysed commercial activities of the food industry and found similarities in strategies and tactics used by food, alcohol and gambling industries [41]. This may provide insights into how meal delivery apps may also use their corporate power to influence the policy making process. Understanding these tactics can help inform the development of potential innovative solutions to minimise consumers’ exposure and their impact on consumers’ food purchasing behaviours [41].
Conclusion
This research agenda highlights the importance of addressing meal delivery apps as digital disruptors to safe and supportive environments for nutrition. Future research areas outlined in this article include measuring, monitoring and mitigating against risks which meal delivery apps pose to population diets and nutrition. As the end of the Nutrition Decade is approaching, it is critical to maintain the momentum of actions to improve safe and supportive environments for nutrition and advance the global nutrition agenda into the next decade.
References
Granheim SI, Løvhaug AL, Terragni L, Torheim LE, Thurston M. Mapping the digital food environment: a systematic scoping review. Obes Rev. 2022;23:e13356.
Fernandez MA, Raine KD. Digital food retail: public health opportunities. Nutrients. 2021;13:3789.
Keeble M, Adams J, Bishop TRP, Burgoine T. Socioeconomic inequalities in food outlet access through an online food delivery service in England: a cross-sectional descriptive analysis. Appl Geogr. 2021;133:102498.
Guo Y, Xin F, Li X. The market impacts of sharing economy entrants: evidence from USA and China. Electron Commer Res. 2020;20:629–49.
Statista. Meal delivery—worldwide. 2024. https://www.statista.com/outlook/emo/online-food-delivery/meal-delivery/worldwide.
Business of Apps. Food delivery app revenue and usage statistics 2024. 2024. https://www.businessofapps.com/data/food-delivery-app-market/.
Partridge SR, Gibson AA, Roy R, Malloy JA, Raeside R, Jia SS. et al. Junk food on demand: a cross-sectional analysis of the nutritional quality of popular online food delivery outlets in Australia and New Zealand. Nutrients. 2020;12:3107.
Poelman MP, Thornton L, Zenk SN. A cross-sectional comparison of meal delivery options in three international cities. Eur J Clin Nutr. 2020;74:1465–73.
Wang C, Korai A, Jia SS, Allman-Farinelli M, Chan V, Roy R, et al. Hunger for home delivery: cross-sectional analysis of the nutritional quality of complete menus on an online food delivery platform in Australia. Nutrients. 2021;13:905.
Jia SS, Todd AR, Vanderlee L, Farrell P, Allman-Farinelli M, Sacks G, et al. Offline to online: a systematic mapping review of evidence to inform nutrition-related policies applicable to online food delivery platforms. BMC Med. 2024;22:542.
Boutayeb A, Twizell EH, Achouayb K, Chetouani A. A mathematical model for the burden of diabetes and its complications. Biomed Eng Online. 2004;3:20.
Melaku YA, Renzaho A, Gill TK, Taylor AW, Dal Grande E, de Courten B, et al. Burden and trend of diet-related non-communicable diseases in Australia and comparison with 34 OECD countries, 1990-2015: findings from the Global Burden of Disease Study 2015. Eur J Nutr. 2019;58:1299–313.
United Nations. UN Decade of Action on Nutrition: United Nations. 2016. https://www.un.org/nutrition/about.
United Nations. United Nations Decade of Action on Nutrition: Mid-term Review Foresight paper. 2020.
Keeble M, Adams J, Burgoine T. Investigating experiences of frequent online food delivery service use: a qualitative study in UK adults. BMC Public Health. 2022;22:1365.
Gupta A, Sacks G, Cameron AJ, Huggins CE, Peeters A, Backholer K, et al. Use of online food delivery services among adults in five countries from the International Food Policy Study 2018–2021. Prev Med Rep. 2024;43:102766.
Jia SS, Raeside R, Sainsbury E, Wardak S, Phongsavan P, Redfern J, et al. Use of online food retail platforms throughout the COVID-19 pandemic and associated diet-related chronic disease risk factors: a systematic review of emerging evidence. Obes Rev. 2024;25:e13720.
Brar K, Minaker LM. Geographic reach and nutritional quality of foods available from mobile online food delivery service applications: novel opportunities for retail food environment surveillance. BMC Public Health. 2021;21:458.
Bennett R, Keeble M, Zorbas C, Sacks G, Driessen C, Grigsby-Duffy L. et al. The potential influence of the digital food retail environment on health: a systematic scoping review of the literature. Obes Rev. 2023;25:e13671
Roy Morgan. Meal delivery services now used by over 7 million Australians after strong growth during the pandemic: Roy Morgan. 2022. https://www.roymorgan.com/findings/meal-delivery-services-now-used-by-over-7-million-australians-after-strong-growth-during-the-pandemic.
Craigie AM, Lake AA, Kelly SA, Adamson AJ, Mathers JC. Tracking of obesity-related behaviours from childhood to adulthood: a systematic review. Maturitas. 2011;70:266–84.
Neufeld LM, Andrade EB, Ballonoff Suleiman A, Barker M, Beal T, Blum LS, et al. Food choice in transition: adolescent autonomy, agency, and the food environment. Lancet. 2022;399:185–97.
Johnson W, Li L, Kuh D, Hardy R. How has the age-related process of overweight or obesity development changed over time? Co-ordinated analyses of individual participant data from five United Kingdom birth cohorts. PLoS Med. 2015;12:e1001828.
Story M, French S. Food advertising and marketing directed at children and adolescents in the US. Int J Behav Nutr Phys Act. 2004;1:3.
Jia SS, Allman-Farinelli M, Roy R, Phongsavan P, Hyun K, Gibson AA, et al. Using mobile ecological momentary assessment to understand consumption and context around online food delivery use: pilot feasibility and acceptability study. JMIR Mhealth Uhealth. 2023;11:e49135.
Fagherazzi G, Bour C, Ahne A. Emulating a virtual digital cohort study based on social media data as a complementary approach to traditional epidemiology: when, what for, and how? Diabetes Epidemiol Manag. 2022;7:100085.
Ayers JW, Poliak A, Beros NT, Paul M, Dredze M, Hogarth M, et al. A digital cohort approach for social media monitoring: a cohort study of people who vape E-cigarettes. Am J Prev Med. 2024;67:147–54.
Lytle LA. Measuring the food environment: state of the science. Am J Prev Med. 2009;36:S134–44.
Caspi CE, Sorensen G, Subramanian SV, Kawachi I. The local food environment and diet: a systematic review. Health Place. 2012;18:1172–87.
Gamba RJ, Schuchter J, Rutt C, Seto EY. Measuring the food environment and its effects on obesity in the United States: a systematic review of methods and results. J Community Health. 2015;40:464–75.
Gordon-Larsen P. Food availability/convenience and obesity. Adv Nutr. 2014;5:809–17.
Cobb LK, Appel LJ, Franco M, Jones-Smith JC, Nur A, Anderson CAM. The relationship of the local food environment with obesity: a systematic review of methods, study quality, and results. Obesity. 2015;23:1331–44.
Larsen K, Gilliland J. Mapping the evolution of ‘food deserts’ in a Canadian city: supermarket accessibility in London, Ontario, 1961–2005. Int J Health Geogr. 2008;7:16.
Jia SS, Luo X, Gibson AA, Partridge SR. Developing the DIGIFOOD dashboard to monitor the digitalization of local food environments: interdisciplinary approach. JMIR Public Health Surveill. 2024;10:e59924.
Thornton LE, Lamb KE, Ball K. Fast food restaurant locations according to socioeconomic disadvantage, urban–regional locality, and schools within Victoria, Australia. SSM Popul Health. 2016;2:1–9.
Maguire ER, Burgoine T, Monsivais P. Area deprivation and the food environment over time: a repeated cross-sectional study on takeaway outlet density and supermarket presence in Norfolk, UK, 1990–2008. Health Place. 2015;33:142–7.
Hetz K, Weerasinghe N, Rippin H, Wickramasinghe K, Zhiteneva O, Usman MA, et al. The development and potential of a digital out of home food environment monitoring platform. Nutrients. 2023;15:3887.
Vanderlee L, Sacks G. Recommended nutrition-related practices for online food delivery companies. Public Health Nutr. 2023;26:3343–8.
Bates S, Reeve B, Trevena H. A narrative review of online food delivery in Australia: challenges and opportunities for public health nutrition policy. Public Health Nutr. 2023;26:262–72.
Cassano S, Jia A, Gibson AA, Partridge SR, Chan V, Farrell P, et al. Benchmarking online food delivery applications against menu labelling laws: a cross-sectional observational analysis. Public Health Nutr. 2024;27:e101.
de Lacy-Vawdon C, Vandenberg B, Livingstone C. Power and other commercial determinants of health: an empirical study of the Australian food, alcohol, and gambling industries. Int J Health Policy Manag. 2023;12:7723.
Acknowledgements
The authors would like to extend their gratitude to Dr Stephanie Partridge and Dr Alice Gibson for their guidance which supported the development of this article. We also would like to acknowledge the Digital Food Retail Environment Community of Practice of researchers as part of the Nourish Network at Deakin University, Australia, which enabled this collaboration.
Funding
SJ is supported on a Research Training Program Stipend Scholarship from the Australian Government and a Postgraduate Research Scholarship from the King and Amy O’Malley Trust. RB is supported by an Australian Government Research Training Program Stipend Scholarship. AG is supported by the Victorian Health Promotion Foundation (VicHealth) Early Career Fellowship. This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors. Open Access funding enabled and organized by CAUL and its Member Institutions.
Author information
Authors and Affiliations
Contributions
SJ: conceptualisation, writing—original draft preparation, writing—review & editing, RB: writing—original draft preparation, writing—review & editing, AG: writing—original draft preparation, writing—review & editing.
Corresponding author
Ethics declarations
Competing interests
The authors declare no competing interests.
Additional information
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
About this article
Cite this article
Jia, S.S., Bennett, R. & Gupta, A. The emergence of meal delivery applications: a research agenda to advance the next decade of progress in nutrition. Eur J Clin Nutr 79, 701–704 (2025). https://doi.org/10.1038/s41430-025-01597-y
Received:
Revised:
Accepted:
Published:
Issue date:
DOI: https://doi.org/10.1038/s41430-025-01597-y