The popularity of restaurant delivery services has been on the rise in the Eurasian Economic Union (EAEU) region, providing consumers with more options for food delivery.
Customer preferences: Customers in the EAEU region have shown a preference for convenience and time-saving options when it comes to food delivery. The rise of on-demand delivery services has made it easier for consumers to access a wider variety of food options, including those from their favorite restaurants.
Trends in the market: In recent years, restaurant delivery services have experienced significant growth in the EAEU region. This growth has been driven by the increasing popularity of online food ordering platforms, which offer customers a convenient way to order food from their favorite restaurants. Additionally, the COVID-19 pandemic has accelerated the adoption of food delivery services, as more people are staying at home and avoiding crowded places.
Local special circumstances: The EAEU region is characterized by a diverse range of cuisines and food cultures. This has led to the emergence of specialized food delivery services that cater to specific cuisines, such as Georgian or Uzbek cuisine. In addition, many restaurants in the region have started to offer their own delivery services, which has increased competition in the market.
Underlying macroeconomic factors: The growth of the restaurant delivery market in the EAEU region can be attributed to several underlying macroeconomic factors. These include the increasing popularity of e-commerce and online platforms, as well as the growth of the middle class in many countries in the region. In addition, the rise of on-demand delivery services has been facilitated by the growth of mobile technology and the widespread use of smartphones.
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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