Online Food Delivery - Europe

Europe

The revenue in the Online Food Delivery market is estimated to reach €126.50bn in 2024.
It is projected to experience an annual growth rate (CAGR 2024-2029) of 8.75%.
This growth is expected to result in a projected market volume of €192.40bn by 2029.
In the Grocery Delivery market, a revenue growth of 15.9% is anticipated for 2025.
The market volume for Grocery Delivery is projected to be €86.70bn in 2024.
When compared globally, China is expected to generate the highest revenue, amounting to €417.80bn in 2024.
The average revenue per user (ARPU) in the Grocery Delivery market is estimated to be €449.20 in 2024.
As for the Meal Delivery market, the number of users is projected to reach 286.5m users by 2029.
The user penetration in the Meal Delivery market is expected to be at 28.7% in 2024.
These projections and market insights pertain specifically to the Online Food Delivery market withEurope.
Spain: Online food delivery in Spain is dominated by platforms like Just Eat and Deliveroo, offering a wide range of local cuisine options.

Mercado

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Comparación de regiones

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Analyst Opinion

The popularity of online food delivery services in Europe has been on the rise in recent years, with more and more consumers opting for the convenience of having their meals delivered to their doorstep.

Customer preferences: One of the main drivers behind the growth of the online food delivery market in Europe is the increasing demand for convenience. With busy lifestyles and a desire for instant gratification, consumers are turning to online platforms to order their meals instead of cooking at home or dining out. In addition, the COVID-19 pandemic has accelerated the adoption of online food delivery services as people are staying at home more and avoiding crowded places.

Trends in the market: The online food delivery market in Europe is highly competitive, with a number of players vying for market share. One trend that is emerging is the consolidation of the market, with larger players acquiring smaller ones to expand their reach and increase their customer base. Another trend is the rise of ghost kitchens, which are delivery-only restaurants that operate out of shared commercial kitchens. This allows for lower overhead costs and greater flexibility in terms of menu offerings.

Local special circumstances: The online food delivery market in Europe is not homogeneous and there are significant differences in consumer preferences and local regulations between countries. For example, in some countries, such as France and Italy, there is a strong tradition of dining out and consumers may be more hesitant to order food online. In addition, there are varying regulations around food safety and delivery services across Europe, which can impact the growth of the market in different countries.

Underlying macroeconomic factors: The growth of the online food delivery market in Europe is also influenced by underlying macroeconomic factors, such as GDP growth and disposable income. Countries with higher GDP per capita and greater disposable income are likely to have a larger market for online food delivery services. In addition, the increasing prevalence of smartphones and the internet has made it easier for consumers to order food online, which has contributed to 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.