Shared Mobility - Poland

  • Poland
  • Poland's Shared Mobility market is set to experience impressive revenue growth as projections show revenue is expected to reach US$9,654.00m by 2024, with an estimated annual growth rate (CAGR 2024-2029) of 3.90%.
  • This will result in a projected market volume of US$11,690.00m by 2029.
  • The largest market in this market is Public Transportation, which is projected to reach a market volume of US$4,227.00m by 2024.
  • The number of users for Public Transportation is expected to amount to 28,300.00k users by 2029.
  • In the Shared Mobility market, the user penetration rate is projected to increase from 84.2% in 2024 to 92.8% by 2029.
  • The average revenue per user (ARPU) is expected to amount to US$284.90.
  • By 2029, online sales are expected to generate 58% of total revenue for the Shared Mobility market.
  • When compared globally, China is projected to generate the most revenue in the Shared Mobility market, with a projected revenue of US$365bn in 2024.
  • Despite the limited presence of bike-sharing services in Poland, the market for car-sharing and ride-hailing is growing rapidly, led by domestic players such as Traficar and iTaxi.

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

 
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Analyst Opinion

The Shared Mobility market in Poland has been experiencing significant growth and development in recent years.

Customer preferences:
Customers in Poland are increasingly looking for convenient and cost-effective transportation options. Shared Mobility services such as ride-hailing, car-sharing, and bike-sharing are gaining popularity due to their flexibility and affordability. Polish consumers are also becoming more environmentally conscious, driving the demand for sustainable transportation solutions.

Trends in the market:
One of the key trends in the Shared Mobility market in Poland is the increasing adoption of ride-hailing services. Companies offering ride-hailing platforms have been expanding their presence in major cities across the country, providing customers with on-demand transportation options. Additionally, car-sharing services are also on the rise, catering to individuals who prefer occasional access to a vehicle without the commitment of ownership.

Local special circumstances:
Poland's urban areas are experiencing growing traffic congestion and limited parking spaces, making Shared Mobility services an attractive alternative to traditional car ownership. The government is also supporting the development of sustainable transportation solutions, further driving the growth of the Shared Mobility market in the country. Additionally, the rise of digital platforms and mobile applications has made it easier for consumers to access and utilize Shared Mobility services in Poland.

Underlying macroeconomic factors:
The increasing urbanization and changing lifestyle preferences in Poland are contributing to the growth of the Shared Mobility market. As more people move to cities and seek convenient transportation options, Shared Mobility services are well-positioned to meet this demand. Additionally, the rising costs of car ownership, including fuel, maintenance, and parking, are prompting consumers to explore alternative transportation solutions, further fueling the expansion of the Shared Mobility market in Poland.

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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