The Online Food Delivery market in Southern Europe has seen significant growth in recent years, driven by changing customer preferences and local special circumstances.
Customer preferences: Customers in Southern Europe are increasingly turning to online food delivery services due to their convenience and ease of use. With busy lifestyles and a desire for more variety in their food options, consumers are embracing the ability to order food from their favorite restaurants with just a few clicks on their mobile devices. Furthermore, the COVID-19 pandemic has accelerated the adoption of online food delivery services as consumers have been forced to stay at home and restaurants have had to pivot to delivery and takeout services.
Trends in the market: Spain, Italy, and Greece are the largest markets for online food delivery in Southern Europe. In Spain, the market is dominated by local players such as Glovo and Just Eat, while in Italy, international players such as Uber Eats and Deliveroo have a strong presence. Greece has seen the emergence of new players such as e-food and Wolt, which have quickly gained market share. One trend that is common across all three countries is the increasing popularity of healthy food options, with consumers looking for meals that are both delicious and nutritious.
Local special circumstances: Southern Europe is known for its strong food culture, with a focus on fresh, locally sourced ingredients and traditional recipes. This has led to a thriving restaurant scene, with many small, family-owned businesses offering unique and authentic cuisine. Online food delivery services have allowed these businesses to reach a wider audience, providing them with a new revenue stream and enabling them to compete with larger chains. Additionally, Southern Europe has a large tourist industry, with millions of visitors each year. Online food delivery services have become an important part of the tourist experience, allowing visitors to sample local cuisine from the comfort of their hotel rooms.
Underlying macroeconomic factors: The economic climate in Southern Europe has been challenging in recent years, with high unemployment rates and slow economic growth. Online food delivery services have provided a much-needed boost to the restaurant industry, creating new jobs and generating additional revenue. Furthermore, the rise of online food delivery services has led to increased competition, driving down prices and making food delivery more affordable for consumers. As the market continues to grow, it is likely that we will see further innovation and expansion, with new players entering the market and existing players expanding their offerings.
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.
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