Restaurant Delivery - EU-27

  • EU-27
  • The Restaurant Delivery market in the EU-27 is expected to reach a projected revenue of US$17.71bn by 2024.
  • This projection indicates an annual growth rate (CAGR 2024-2029) of 6.28%, resulting in a projected market volume of US$24.01bn by 2029.
  • Additionally, the number of users in the Restaurant Delivery market is expected to amount to 123.8m users by 2029.
  • The user penetration rate is projected to be 23.3% in 2024 and is expected to increase to 27.9% by 2029.
  • The average revenue per user (ARPU) is estimated to be US$169.80.
  • In comparison with other countries, United States is projected to generate the highest revenue in the Restaurant Delivery market, amounting to US$36,950.00m in 2024.
  • On the other hand, South Korea is expected to have the highest user penetration rate in the Restaurant Delivery market, with a projected rate of 44.8%.
  • Germany's restaurant delivery market is booming, with an increasing number of consumers opting for convenience and variety in their dining choices.
 
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Analyst Opinion

The restaurant delivery market in EU-27 has been experiencing significant growth in recent years, driven by changing consumer preferences and advancements in technology.

Customer preferences:
Consumers in EU-27 are increasingly looking for convenience and speed when it comes to dining options. With busy work schedules and hectic lifestyles, many people are opting for restaurant delivery services as a way to save time and avoid the hassle of cooking at home or dining out. Additionally, the COVID-19 pandemic has accelerated the adoption of restaurant delivery services as people have been forced to stay at home and avoid crowded public spaces.

Trends in the market:
One of the major trends in the restaurant delivery market in EU-27 is the rise of online ordering and delivery platforms. These platforms offer consumers a wide range of restaurant options and the ability to order food with just a few clicks on their smartphones. This has made it easier for smaller restaurants to compete with larger chains and has led to increased competition in the market.Another trend in the market is the increasing focus on sustainability and eco-friendliness. Many consumers are looking for restaurants that use locally sourced ingredients and eco-friendly packaging. This has led to the rise of delivery services that specialize in sustainable food options.

Local special circumstances:
Each country in EU-27 has its own unique set of circumstances that affect the restaurant delivery market. For example, in countries like Italy and France, where dining out is a major part of the culture, restaurant delivery services may not be as popular as in other countries. However, in countries like the UK and Germany, where takeout and delivery have been popular for decades, the market is more established.

Underlying macroeconomic factors:
The growth of the restaurant delivery market in EU-27 is also influenced by macroeconomic factors such as GDP growth, unemployment rates, and disposable income. In countries with higher GDP and disposable income, consumers may be more likely to order from higher-end restaurants and spend more on delivery fees. Additionally, high unemployment rates may lead to increased demand for lower-cost delivery options.

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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