Market Insights eCommerce Online Food Delivery Meal Delivery

Restaurant Delivery - Russia

Russia

The Restaurant Delivery market in Russia is projected to reach a revenue of US$2.15bn in 2024.
This revenue is expected to grow annually at a rate of 6.09% (CAGR 2024-2029), resulting in a projected market volume of US$2.89bn by 2029.
By 2029, the number of users in the Russian Restaurant Delivery market is expected to reach 42.1m users.
The user penetration rate, which is the percentage of the population using Restaurant Delivery market services, is projected to increase from 23.9% in 2024 to 29.7% by 2029.
The average revenue per user (ARPU) is expected to be US$62.37.
In global comparison, United States is expected to generate the highest revenue in the Restaurant Delivery market, reaching US$36,950.00m in 2024.
On the other hand, South Korea is projected to have the highest user penetration rate of 53.1% in the Restaurant Delivery market.
Despite a strong cultural preference for dining out, the restaurant delivery market in Russia is rapidly growing due to the convenience and accessibility it offers to busy urban dwellers.

Market

Region

Region comparison

Currency

Analyst Opinion

Russia, the largest country in the world, has a unique restaurant delivery market that is constantly evolving. With the rise of the digital age, the restaurant delivery market in Russia has seen significant growth in recent years.

Customer preferences: Russian consumers are increasingly turning to online food delivery services due to the convenience and time-saving benefits they offer. The younger generation, in particular, is more likely to order food online, with mobile apps being the preferred method of ordering. Additionally, Russian consumers are becoming more health-conscious, leading to a growing demand for healthy food options.

Trends in the market: One of the biggest trends in the restaurant delivery market in Russia is the emergence of cloud kitchens. These are delivery-only kitchens that prepare meals exclusively for online orders. This trend has been driven by the increased demand for online food delivery services and the need for restaurants to reduce overhead costs. Another trend is the use of artificial intelligence and machine learning to optimize delivery routes and reduce delivery times.

Local special circumstances: Russia's vast geography and harsh weather conditions can pose challenges for the restaurant delivery market. Delivery times can be affected by traffic congestion and extreme weather conditions, making it difficult for restaurants to provide timely delivery services. Additionally, the high cost of fuel and transportation can make it challenging for restaurants to offer affordable delivery options.

Underlying macroeconomic factors: The Russian economy has experienced significant fluctuations in recent years, which have impacted the restaurant delivery market. The devaluation of the ruble has made it more expensive for restaurants to import ingredients, leading to higher food prices. However, the economic downturn has also led to a rise in the number of people ordering food online, as they look for ways to save money. Additionally, the COVID-19 pandemic has accelerated the growth of the restaurant delivery market in Russia, as more people are staying at home and ordering food online. In conclusion, the restaurant delivery market in Russia is evolving to meet the changing needs of consumers. The emergence of cloud kitchens and the use of technology to optimize delivery routes are just some of the trends shaping the market. However, the challenges posed by Russia's geography and weather conditions, as well as the fluctuations in the economy, continue to impact the market.

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.