Restaurant Delivery - CIS

CIS

Highlights

The Restaurant Delivery market in the CIS is set to reach a projected revenue of US$1.61bn by 2024.
This indicates an annual growth rate (CAGR 2024-2029) of 7.49%, resulting in a projected market volume of US$2.31bn by 2029.
The number of users in the Restaurant Delivery market is also expected to rise, reaching approximately 36.0m users by 2029.
The user penetration rate is anticipated to increase from 11.1% in 2024 to 14.7% by 2029.
The average revenue per user (ARPU) is projected to be US$59.76.
On a global scale, United States is expected to generate the highest revenue in the Restaurant Delivery market, reaching US$36.95bn in 2024.
However, when considering user penetration, South Korea takes the lead with a projected rate of 44.8%.
In the CIS market, restaurant delivery services have experienced a significant surge in demand due to the convenience and time-saving benefits they offer to time-strapped consumers.

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

The popularity of food delivery services has been on the rise in recent years, and the CIS region is no exception. With the increasing number of people opting for the convenience of having their meals delivered to their doorstep, the restaurant delivery market in CIS has been experiencing significant growth.

Customer preferences: The convenience and time-saving benefits of food delivery services have been the primary driver of the market in CIS. Customers are increasingly opting for food delivery services as they offer a wide variety of options, fast delivery times, and the ability to order from multiple restaurants at once. Additionally, the COVID-19 pandemic has further accelerated the demand for food delivery services as people have been forced to stay indoors and avoid crowded places.

Trends in the market: The restaurant delivery market in CIS has been witnessing a shift towards online ordering and delivery platforms. Customers are increasingly using mobile apps and websites to place their orders, which has led to the emergence of third-party delivery platforms. These platforms offer a wide variety of options from different restaurants, making it easier for customers to order their favorite meals from the comfort of their homes. Another trend in the market is the increasing popularity of healthy food options, with many restaurants offering healthy meal options to cater to the growing demand.

Local special circumstances: The restaurant delivery market in CIS is unique in that it is highly fragmented, with many local players dominating the market. This has led to intense competition among players, with each trying to differentiate themselves by offering unique services and features. Additionally, the market is highly regulated, with many countries in the region imposing strict regulations on food delivery services to ensure food safety and quality.

Underlying macroeconomic factors: The restaurant delivery market in CIS is being driven by several macroeconomic factors, including the growing middle class, increasing urbanization, and rising disposable incomes. As more people move to urban areas and have less time to cook their meals, the demand for food delivery services is expected to continue to rise. Additionally, the growing middle class and rising disposable incomes have led to an increase in discretionary spending, with more people opting for the convenience of food delivery services.

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.