Restaurant Delivery - Europe

  • Europe
  • The Restaurant Delivery market in Europe is projected to reach a revenue of €27.76bn in 2024.
  • It is expected to experience an annual growth rate (CAGR 2024-2029) of 4.91%, resulting in a projected market volume of €35.27bn by 2029.
  • By 2029, the number of users in the European Restaurant Delivery market is expected to amount to 223.4m users.
  • The user penetration rate is projected to be 22.4% in 2024 and is expected to increase to 26.5% by 2029.
  • The average revenue per user (ARPU) is estimated to be €146.50.
  • In global comparison, United States is projected to generate the most revenue in the Restaurant Delivery market, with an estimated revenue of €34,270.00m in 2024.
  • 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 experiencing a surge in demand, driven by the strong preference for convenience and high-quality food among busy urban dwellers.
 
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Analyst Opinion

The popularity of food delivery services has been on the rise in Europe in recent years and has been further accelerated by the COVID-19 pandemic. As a result, the restaurant delivery market in Europe has seen significant growth and development.

Customer preferences:
Customers in Europe have increasingly been seeking convenience and time-saving options when it comes to food consumption. With busy lifestyles and a desire for more variety in their diet, food delivery services have become a popular choice. Additionally, the pandemic has led to a surge in demand for contactless delivery options, which has further boosted the popularity of food delivery services.

Trends in the market:
The restaurant delivery market in Europe has seen a rise in the number of players, both local and international. This has led to increased competition, which has resulted in more affordable prices and greater variety for customers. In addition, there has been a trend towards healthier food options, with many delivery services offering vegetarian, vegan, and gluten-free options.

Local special circumstances:
Different countries in Europe have their own unique food cultures and preferences, which has led to variations in the types of food delivery services available. For example, in Italy, pizza delivery is extremely popular, whereas in the UK, Indian and Chinese cuisine are among the most popular choices for delivery. In addition, some countries have stricter regulations on food delivery services, which can impact the types of services available.

Underlying macroeconomic factors:
The growth of the restaurant delivery market in Europe can be attributed to several macroeconomic factors. Firstly, the rise of the gig economy has led to an increase in the number of people working in the food delivery sector. Secondly, the growth of e-commerce and mobile technology has made it easier for customers to order food online. Finally, the COVID-19 pandemic has accelerated the growth of the food delivery market as more people are staying at home and avoiding crowded restaurants.

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.

Vue d’ensemble

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