Restaurant Delivery - Greece

Greece

Highlights

The Restaurant Delivery market in Greece is projected to reach a revenue of US$84.83m by 2024.
This is expected to result in an annual growth rate (CAGR 2024-2029) of 5.03%, leading to a projected market volume of US$108.40m by 2029.
In Greece's Restaurant Delivery market, the number of users is expected to reach 1.3m users by 2029.
The user penetration is forecasted to be 10.7% in 2024 and is projected to reach 13.2% by 2029.
The average revenue per user (ARPU) is expected to amount to US$76.93.
In global comparison, United States is anticipated to generate the highest revenue, amounting to US$36.95bn in 2024.
South Korea, with a projected rate of 44.8%, is expected to have the highest user penetration in the Restaurant Delivery market.
The restaurant delivery market in Greece is experiencing a surge in demand due to the country's rich culinary culture and the convenience of having meals delivered to one's doorstep.

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

The restaurant delivery market in Greece has experienced significant growth in recent years, driven by changing consumer preferences and advancements in technology.

Customer preferences: Greek consumers have become increasingly reliant on delivery services due to the convenience and time-saving benefits they offer. This trend has been further exacerbated by the COVID-19 pandemic, which has led to a surge in demand for contactless delivery options. Additionally, Greek consumers are increasingly looking for healthy and sustainable food options, which has led to the emergence of delivery platforms that specialize in organic and locally sourced food.

Trends in the market: One of the key trends in the Greek restaurant delivery market is the emergence of delivery platforms that offer a wide range of cuisines, including traditional Greek cuisine, as well as international options. This has led to increased competition among delivery platforms, with companies investing heavily in marketing and promotions to attract customers. Another trend is the rise of cloud kitchens, which are delivery-only restaurants that operate out of shared kitchen spaces. These kitchens are able to offer a wider range of cuisines and lower prices than traditional restaurants, making them an attractive option for consumers.

Local special circumstances: Greece's tourism industry plays a significant role in the restaurant delivery market, with many delivery platforms relying on tourists for a significant portion of their revenue. The COVID-19 pandemic has had a major impact on the tourism industry, leading to a significant decline in the number of tourists visiting Greece. This has had a knock-on effect on the restaurant delivery market, with many platforms struggling to maintain their revenue streams.

Underlying macroeconomic factors: Greece's economy has been in a state of flux in recent years, with the country still recovering from the 2008 financial crisis. This has led to high levels of unemployment and low levels of disposable income among Greek consumers, which has made delivery services an attractive option for those looking to save time and money. Additionally, Greece's geography, with its many islands and remote regions, has made delivery services an essential part of the country's food industry.

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.