Shared Mobility - Ukraine

  • Ukraine
  • The Shared Mobility market in Ukraine is expected to witness a significant growth in the coming years.
  • By 2024, the revenue in this sector is projected to reach US$356.90m and grow annually at a rate of 0.88%, resulting in a projected market volume of US$372.90m by 2029.
  • Taxi is the largest market in Ukraine's Shared Mobility market with a projected market volume of US$120.60m in 2024.
  • The number of users in the Ride-hailing market is expected to reach 6.69m users by 2029.
  • The user penetration is expected to be 39.3% in 2024 and 44.0% by 2029.
  • The projected average revenue per user (ARPU) is US$23.96.
  • By 2029, 56% of the total revenue in Ukraine's Shared Mobility market is expected to be generated through online sales.
  • It is noteworthy that in global comparison, China is projected to generate the most revenue in this market, with a projected revenue of US$365bn in 2024.
  • Shared mobility is gaining popularity in Ukraine as urbanization and traffic congestion drive demand for efficient transportation solutions.

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

 
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Analyst Opinion

The Shared Mobility market in Ukraine is experiencing a steady growth trajectory, driven by evolving customer preferences, local special circumstances, and underlying macroeconomic factors.

Customer preferences:
Customers in Ukraine are increasingly valuing convenience and cost-effectiveness when it comes to transportation options. Shared Mobility services such as ride-hailing, bike-sharing, and car-sharing are gaining popularity due to their flexibility and affordability. Ukrainians are embracing the concept of shared transportation as a convenient alternative to traditional modes of commuting, especially in urban areas where traffic congestion is a common issue.

Trends in the market:
One noticeable trend in the Shared Mobility market in Ukraine is the rise of local startups offering innovative solutions tailored to the specific needs of the Ukrainian population. These companies are focusing on providing efficient and user-friendly platforms that cater to the preferences of the local customer base. Additionally, partnerships between Shared Mobility providers and public transportation agencies are becoming more common, aiming to create integrated and seamless mobility solutions for commuters.

Local special circumstances:
Ukraine's unique geopolitical and economic situation has influenced the development of the Shared Mobility market in the country. The ongoing urbanization trend, coupled with infrastructure improvements in major cities, has created opportunities for Shared Mobility services to thrive. Moreover, the increasing adoption of digital technologies among Ukrainians has facilitated the growth of app-based transportation services, making it easier for customers to access and utilize shared mobility options.

Underlying macroeconomic factors:
The economic landscape in Ukraine, characterized by a growing middle class and changing consumer behavior, plays a significant role in shaping the Shared Mobility market. As disposable incomes increase and purchasing power grows, more Ukrainians are willing to spend on convenient transportation solutions. Additionally, regulatory initiatives aimed at promoting sustainable and eco-friendly transportation modes are driving the demand for Shared Mobility services in the country.

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
  • Global Comparison
  • Methodology
  • Key Market Indicators
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