Online Food Delivery - Russia

Russia

In 2024, the Online Food Delivery market in Russia is projected to reach a revenue of US$9.70bn.
It is expected to grow at an annual rate of 5.75% (CAGR 2024-2028), resulting in a projected market volume of US$12.13bn by 2028.
Moving on to the Meal Delivery market, it is anticipated to experience a revenue growth of 12.1% in 2025.
In 2024, the projected market volume for Meal Delivery in Russia is US$6.61bn.
When compared globally, in China is projected to generate the highest revenue in 2024, amounting to US$448.90bn.
The Average Revenue Per User (ARPU) in the Meal Delivery market is projected to be US$372.10 in 2024.
Looking at the Meal Delivery market, the number of users is expected to reach 46.9m users by 2028.
Additionally, the user penetration rate in the Meal Delivery market is estimated to be 27.3% in 2024.
Online food delivery in Russia has seen a significant growth with the emergence of local platforms such as Yandex.Eats and Delivery Club.

Key regions: India, United States, Asia, China, Europe

Market

Region

Region comparison

Currency

Analyst Opinion

The Online Food Delivery Market is a combination of Grocery Delivery and Meal Delivery. The market gained a great deal of traction from the COVID-19 Pandemic. The growth can be seen in almost every market. Now that food aggregators like Just Eat Takeaway and Delivery Hero have established themselves, they are now venturing into the Grocery Delivery space. While acquisitions are nothing new in the Meal Delivery space, these aggregators are taking big risks as Quick Commerce has yet to prove profitable.

Although the market saw two years of unprecedented growth, 2022 is looking to slow that down with uncertain macroeconomic conditions and consumers looking to save money. Consolidation of the key players will likely happen which will further expand the gray area between Grocery and Meal Delivery.

China and the US lead in terms of Gross Merchandising Value (GMV). Chinese companies are well-established and the market is mature. U.S. consumers enjoy discretionary spending and that does not look to be slowing down anytime soon.

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.