Restaurant Delivery - Central & Western Europe

  • Central & Western Europe
  • The Central & Western European Restaurant Delivery market is projected to reach a revenue of US$25.92bn in 2024.
  • It is expected to show an annual growth rate (CAGR 2024-2029) of 5.76%, resulting in a projected market volume of US$34.30bn by 2029.
  • By 2029, the number of users in the Restaurant Delivery market is expected to reach 106.9m users.
  • The user penetration rate is projected to be 27.5% in 2024 and is expected to increase to 31.8% by 2029.
  • The average revenue per user (ARPU) is estimated to be US$281.00.
  • In global comparison, United States is expected to generate the highest revenue in the Restaurant Delivery market, with a projected amount of US$36,950.00m in 2024.
  • South Korea, with a projected user penetration rate of 44.8%, will have the highest user penetration in the Restaurant Delivery market.
  • Germany's restaurant delivery market is experiencing a surge in demand, driven by the increasing popularity of online food ordering platforms.
 
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Analyst Opinion

The restaurant delivery market in Central & Western Europe has been growing steadily in recent years, driven by changing consumer habits and advancements in technology.

Customer preferences:
Customers in Central & Western Europe are increasingly seeking convenience and speed when it comes to food delivery. In particular, younger generations are more likely to use food delivery services than older generations. Additionally, there is a growing demand for healthy and sustainable food options, as well as a desire for unique and diverse cuisine.

Trends in the market:
In Germany, the restaurant delivery market has seen significant growth, with a focus on healthy and sustainable food options. In France, there has been a rise in the popularity of meal kit delivery services, allowing customers to cook restaurant-quality meals at home. The UK has the largest restaurant delivery market in Europe, with a focus on fast and convenient options such as pizza and burgers. In Spain, there has been a surge in the popularity of food delivery apps, with a particular focus on traditional Spanish cuisine.

Local special circumstances:
In Italy, the restaurant delivery market has been slower to develop due to the country's strong culinary tradition and emphasis on dining out. However, there has been a recent increase in demand for delivery services, particularly in urban areas. In Switzerland, the market is highly competitive, with a focus on high-end cuisine and premium delivery options.

Underlying macroeconomic factors:
The growth of the restaurant delivery market in Central & Western Europe can be attributed to several macroeconomic factors, including rising urbanization, changing consumer habits, and advancements in technology. Additionally, the COVID-19 pandemic has accelerated the trend towards food delivery, as more people are working from home and avoiding crowded public spaces. As a result, many restaurants have had to pivot their business models to focus on delivery and takeout services.

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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