Meal Delivery - Russia

  • Russia
  • The Meal Delivery market in Russia is expected to reach a projected revenue of US$3.10bn by 2024.
  • This market is anticipated to show an annual growth rate (CAGR 2024-2029) of 5.85%, resulting in a projected market volume of US$4.12bn by 2029.
  • In Russia, the Platform Deliverymarket is projected to have a market volume of US$2.15bn in 2024.
  • When compared globally, China is expected to generate the highest revenue in the Meal Delivery market, with an estimated US$182,900.00m in 2024.
  • The average revenue per user (ARPU) in the Meal Delivery market in Russia is projected to be US$75.74 in 2024.
  • By 2029, the number of users in the Meal Delivery market in Russia is expected to reach 49.6m users.
  • User penetration in the Meal Delivery market in Russia is projected to be at 28.4% in 2024.
  • The meal delivery market in Russia is experiencing a surge in demand due to the convenience and time-saving benefits it offers to busy urban dwellers.
 
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Analyst Opinion

Russia, known for its rich culture and history, has been experiencing a significant shift in consumer behavior when it comes to meal delivery.

Customer preferences:
With the rise of the middle class, consumers are becoming more health-conscious and are looking for healthier options in their meals. This has led to a growing demand for meal delivery services that offer organic, low-calorie, and vegetarian options. Additionally, the convenience factor of meal delivery services has also been a driving force behind its popularity. Consumers are increasingly opting for meal delivery services due to their busy lifestyles and lack of time to cook.

Trends in the market:
The meal delivery market in Russia has been growing at a steady pace in recent years. The market has become highly competitive, with new players entering the market and existing players expanding their services. One of the major trends in the market is the rise of online meal delivery platforms, which offer a wide range of options and the convenience of ordering from home. Another trend is the increasing popularity of meal kits, which provide consumers with pre-measured ingredients and recipes to cook their own meals at home.

Local special circumstances:
Russia’s vast geography and harsh climate have made it difficult for traditional food delivery services to operate. However, the rise of online meal delivery platforms has made it easier for consumers in remote areas to access meal delivery services. Additionally, the popularity of meal kits has also been a driving force behind the growth of the market, as it allows consumers to prepare their own meals at home, regardless of their location.

Underlying macroeconomic factors:
The Russian economy has been recovering from the recession of 2014-2015, with an increase in disposable income and a growing middle class. This has led to a shift in consumer behavior, with consumers becoming more health-conscious and willing to spend more on premium food products. Additionally, the COVID-19 pandemic has accelerated the growth of the meal delivery market in Russia, as consumers are increasingly opting for home delivery services due to social distancing measures. The market is expected to continue its growth trajectory in the coming years, driven by changing consumer preferences and the convenience factor of meal delivery services.

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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