Shared Mobility - Russia

  • Russia
  • It is projected that the revenue in the Shared Mobility market in Russia will reach US$31,770.00m by 2024.
  • Furthermore, the market is expected to exhibit an annual growth rate (CAGR 2024-2028) of -1.33%, resulting in a projected market volume of US$30,110.00m by 2028.
  • Among all the Shared Mobility markets, the Flights market is the largest, with a projected market volume of US$11,130.00m in 2024.
  • It is expected that the number of users in the Public Transportation market will amount to 102.10m users by 2028.
  • The user penetration of 80.2% in 2024 is expected to change to 78.8% by 2028.
  • Additionally, the average revenue per user (ARPU) is expected to be US$275.00.
  • It is projected that 64% of total revenue in the Shared Mobility market will be generated through online sales by 2028.
  • When compared globally, China is expected to generate the most revenue, with a projected revenue of US$412bn in 2024.
  • Despite the growing interest in shared mobility options in Russia, the market is still dominated by traditional forms of transportation.

Key regions: United States, Saudi Arabia, Germany, Malaysia, India

 
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Analyst Opinion

The Shared Mobility market in Russia has been experiencing significant growth and evolution in recent years.

Customer preferences:
Customers in Russia are increasingly looking for convenient and cost-effective transportation options. Shared Mobility services, such as ride-hailing and car-sharing, have gained popularity due to their flexibility and affordability. With the rise of digitalization and smartphone usage, consumers are more inclined towards on-demand transportation solutions that offer ease of booking and payment.

Trends in the market:
One of the key trends in the Shared Mobility market in Russia is the increasing competition among service providers. Both local players and international companies are vying for market share, leading to a wide range of options for customers. Moreover, there is a growing emphasis on sustainability and eco-friendliness, with a shift towards electric vehicles in some Shared Mobility services.

Local special circumstances:
Russia's vast geographical expanse and varying urban infrastructure present unique challenges and opportunities for Shared Mobility providers. While major cities like Moscow and St. Petersburg have high demand for shared transportation, rural areas may have limited access to such services. Additionally, factors like extreme weather conditions and traffic congestion in certain regions can impact the operations of Shared Mobility companies.

Underlying macroeconomic factors:
The development of the Shared Mobility market in Russia is also influenced by macroeconomic factors such as changing consumer behavior, regulatory environment, and technological advancements. As the country continues to urbanize and modernize, there is a growing need for efficient transportation solutions. Government initiatives to promote shared and sustainable mobility further drive the market growth. Additionally, partnerships between Shared Mobility companies and traditional transportation providers are shaping the future of mobility in Russia.

Methodology

Data coverage:

The data encompasses B2C enterprises. Figures are based on bookings, revenues, and online shares of car rentals, ride-hailing, taxi, car-sharing, bike-sharing, e-scooter-sharing, moped-sharing, trains, buses, public transportation, and flights.

Modeling approach:

Market sizes are determined through a bottom-up approach, building on a specific rationale for each market. As a basis for evaluating markets, we use financial reports, third-party studies and reports, federal statistical offices, industry associations, and price data. To estimate the number of users and bookings, we furthermore use data from the Statista Consumer Insigths Global survey. In addition, we use relevant key market indicators and data from country-specific associations, such as demographic data, GDP, consumer spending, internet penetration, and device usage. 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, ARIMA, which allows time series forecasts, accounting for stationarity of data and enabling short-term estimates. Additionally, simple linear regression, Holt-Winters forecast, the S-curve function and exponential trend smoothing methods are applied.

Additional notes:

The data is modeled using current exchange rates. The market is updated twice a year in case market dynamics change.

Overview

  • Revenue
  • Sales Channels
  • Analyst Opinion
  • Users
  • Mode of Transportation
  • User Demographics
  • Global Comparison
  • Methodology
  • Key Market Indicators
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