Meal Delivery - Europe

  • Europe
  • The Meal Delivery market in Europe is projected to reach a revenue of €39.81bn by 2024.
  • It is expected to show an annual growth rate (CAGR 2024-2029) of 5.08%, resulting in a projected market volume of €51.01bn by 2029.
  • Similarly, the Platform Deliverymarket in Europe is expected to have a market volume of €27.76bn in 2024.
  • In global comparison, China is anticipated to generate the highest revenue in the Meal Delivery market, amounting to €171,100.00m in 2024.
  • The average revenue per user (ARPU) in the Meal Delivery market in Europe is projected to be €164.50 in 2024.
  • Furthermore, the number of users in this market is expected to reach 286.5m users by 2029.
  • The user penetration rate in the Meal Delivery market in Europe is estimated to be at 28.7% in 2024.
  • Germany's meal delivery market is booming, with a strong emphasis on healthy and sustainable food options.
 
Marché
 
Région
 
Comparaison de régions
 
Monnaie
 

Analyst Opinion

The Meal Delivery market in Europe has been steadily growing in recent years, with an increasing number of consumers choosing to order food online for delivery.

Customer preferences:
One of the main reasons for the growth of the Meal Delivery market in Europe is the changing preferences of consumers. Busy lifestyles and the convenience of being able to order food online and have it delivered directly to their doorstep has become increasingly popular. Additionally, the COVID-19 pandemic has further accelerated the trend towards online food delivery, as more people are staying at home and avoiding crowded places.

Trends in the market:
The Meal Delivery market in Europe is not uniform across all countries, with different trends and developments emerging in different regions. For example, in countries such as the United Kingdom and Germany, the market is dominated by a few large players, while in other countries such as Spain and Italy, there are many smaller and regional players. Additionally, there has been a trend towards more healthy and sustainable food options, with many companies now offering plant-based and organic meal delivery options.

Local special circumstances:
In France, for example, the Meal Delivery market has been impacted by the country's strong culinary culture and tradition of eating out. However, with the COVID-19 pandemic forcing many restaurants to close or limit their services, more consumers have turned to online food delivery services. In Eastern Europe, the market is still relatively underdeveloped, with many consumers preferring to cook at home rather than order food online.

Underlying macroeconomic factors:
The growth of the Meal Delivery market in Europe is also influenced by underlying macroeconomic factors, such as GDP growth, disposable income, and technological advancements. Countries with higher GDP and disposable income levels tend to have a larger and more developed Meal Delivery market. Additionally, the increasing use of smartphones and mobile apps has made it easier for consumers to order food online, further driving the growth of the market.

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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