Online Food Delivery - EU-27

  • EU-27
  • The Online Food Delivery market in EU-27 is expected to generate a revenue of US$73.32bn in 2024.
  • This represents a projected annual growth rate (CAGR 2024-2029) of 9.34%, leading to a market volume of US$114.60bn by 2029.
  • Furthermore, the Grocery Delivery market is predicted to experience a revenue growth of 15.3% in 2025, reaching a market volume of US$51.26bn in 2024.
  • When compared globally, China is projected to generate the highest revenue in the Online Food Delivery market, amounting to US$448.90bn in 2024.
  • Additionally, the average revenue per user (ARPU) in the Grocery Delivery market is expected to be US$442.60 in 2024.
  • In terms of the Meal Delivery market, the number of users is anticipated to reach 155.3m users by 2029.
  • Moreover, user penetration in the Meal Delivery market is estimated to be at 29.4% in 2024.
  • In the EU-27, Germany has seen a surge in demand for online food delivery services due to its large population and busy urban lifestyle.
 
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Analyst Opinion

The popularity of online food delivery services has been on the rise in EU-27 in recent years, driven by changing consumer preferences and advancements in technology.

Customer preferences:
Customers are increasingly looking for convenience and flexibility when it comes to food delivery. With busy work schedules and hectic lifestyles, many consumers are opting for the ease of ordering food online and having it delivered straight to their doorstep. Additionally, the COVID-19 pandemic has accelerated the shift towards online food delivery, as people are avoiding crowded restaurants and opting for contactless delivery options.

Trends in the market:
Online food delivery platforms are constantly innovating to meet the evolving needs of customers. One trend that has emerged in the EU-27 market is the rise of local and sustainable food options. Many consumers are looking for locally sourced and organic food options, and online delivery platforms are responding by partnering with local restaurants and food suppliers to offer these options. Another trend is the rise of meal kit delivery services, which provide customers with pre-portioned ingredients and recipes to cook at home.

Local special circumstances:
The EU-27 market is diverse, with different countries and regions having unique food cultures and preferences. For example, in Italy, pizza and pasta are popular delivery options, while in the UK, Indian and Chinese cuisine are among the most popular. Additionally, regulatory frameworks and local competition can vary widely between countries, which can impact the growth and development of online food delivery platforms.

Underlying macroeconomic factors:
The growth of the online food delivery market in EU-27 is also influenced by broader macroeconomic factors. For example, the rise of the gig economy and the increasing availability of smartphones and mobile internet have made it easier for people to work as delivery drivers and for customers to order food online. Additionally, the COVID-19 pandemic has led to a surge in demand for online food delivery services, as people are spending more time at home and avoiding crowded public spaces.

Methodology

Data coverage:

The data encompasses B2C enterprises. Figures are based on Gross Merchandise Value (GMV) and represent what consumers pay for these products and services. The user metrics show the number of customers who have made at least one online purchase within the past 12 months.

Modeling approach / Market size:

Market sizes are determined through a bottom-up approach, building on predefined factors for each market. As a basis for evaluating markets, we use annual financial reports of the market-leading companies, third-party studies and reports, as well as survey results from our primary research (e.g., the Statista Global Consumer Survey). In addition, we use relevant key market indicators and data from country-specific associations, such as GDP, GDP per capita, and internet connection speed. This data helps us estimate the market size for each country individually.

Forecasts:

In our forecasts, we apply diverse forecasting techniques. The selection of forecasting techniques is based on the behavior of the relevant market. For example, the S-curve function and exponential trend smoothing. The main drivers are internet users, urban population, usage of key players, and attitudes toward online services.

Additional notes:

The market is updated twice a year in case market dynamics change. The impact of the COVID-19 pandemic and the Russia-Ukraine war are considered at a country-specific level. GCS data is reweighted for representativeness.

Overview

  • Revenue
  • Analyst Opinion
  • Users
  • Global Comparison
  • Methodology
  • Key Market Indicators
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