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 5.47% (CAGR 2024-2029), resulting in a projected market volume of US$12.66bn by 2029.
  • 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, 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$360.00 in 2024.
  • Looking at the Meal Delivery market, the number of users is expected to reach 44.1m users by 2029.
  • Additionally, the user penetration rate in the Meal Delivery market is estimated to be 22.8% 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.
 
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Analyst Opinion

The Online Food Delivery market in Russia has been growing rapidly in recent years, driven by changing consumer preferences and the increasing availability of food delivery services.

Customer preferences:
Russian consumers are increasingly turning to online food delivery services due to their convenience and time-saving benefits. Additionally, the COVID-19 pandemic has accelerated this trend, as more people are staying at home and avoiding in-person dining experiences. Russian consumers also place a high value on the quality of food and the speed of delivery, which has led to the emergence of delivery platforms that offer a wide variety of restaurant options and fast delivery times.

Trends in the market:
One of the key trends in the Russian online food delivery market is the increasing use of mobile devices to place orders. This has led to the development of mobile apps that allow customers to easily order and track their food deliveries. Another trend is the growing popularity of healthy food options, as more consumers are becoming health-conscious and seeking out nutritious options for their meals. Finally, there has been a trend towards consolidation in the market, with larger delivery platforms acquiring smaller competitors in order to expand their market share.

Local special circumstances:
Russian consumers have a strong preference for traditional Russian cuisine, which has led to the emergence of online food delivery platforms that specialize in Russian dishes. Additionally, the harsh winter climate in Russia has made food delivery a popular option for consumers who do not want to brave the cold weather to dine out.

Underlying macroeconomic factors:
The Russian economy has been growing steadily in recent years, which has led to an increase in disposable income and consumer spending. This has made it easier for consumers to afford online food delivery services and has contributed to the growth of the market. Additionally, the Russian government has implemented policies to promote the growth of the digital economy, which has benefited online food delivery platforms by creating a more favorable regulatory environment.

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.

Overview

  • Revenue
  • Analyst Opinion
  • Users
  • Global Comparison
  • Methodology
  • Key Market Indicators
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