Shared Mobility - Czechia

  • Czechia
  • The revenue of the Shared Mobility market in Czechia is predicted to increase significantly, reaching US$4,431.00m by 2024.
  • This growth is expected to continue at a Compound Annual Growth Rate (CAGR 2024-2029) of 1.98%, resulting in a market volume projection of US$4,888.00m by 2029.
  • The market's largest market in Czechia is Public Transportation, which is expected to reach a market volume of US$1,956.00m in 2024.
  • Moreover, the number of users in the Public Transportation market is expected to amount to 7.76m users by 2029.
  • The user penetration rate, which is 89.9% in 2024, is expected to increase to 95.0% by 2029.
  • The average revenue per user (ARPU) is predicted to be US$469.40.
  • Furthermore, online sales are expected to generate 55% of total revenue in the Shared Mobility market by 2029.
  • It's worth noting that, in global comparison, China is expected to generate the most revenue in the Shared Mobility market, amounting to US$365bn in 2024.
  • Shared mobility services such as Liftago and LimeBike are gaining popularity in Czechia as a convenient and cost-effective way of transportation.

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

 
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Analyst Opinion

The Shared Mobility market in Czechia is experiencing significant growth and evolution.

Customer preferences:
Customers in Czechia are increasingly valuing convenience, flexibility, and cost-effectiveness when it comes to transportation options. Shared Mobility services such as ride-hailing, car-sharing, and bike-sharing are becoming popular choices among urban dwellers who seek efficient and sustainable ways to move around the city.

Trends in the market:
One notable trend in the Czech Shared Mobility market is the growing popularity of electric scooters as a convenient and eco-friendly mode of transportation. Companies offering electric scooter rentals have seen a surge in demand as more people opt for this flexible and fun way to navigate through city streets. Additionally, the integration of various Shared Mobility services into multi-modal platforms is on the rise, providing customers with seamless options for combining different modes of transportation.

Local special circumstances:
Czechia's well-developed public transportation infrastructure, particularly in major cities like Prague, plays a significant role in shaping the Shared Mobility market. The presence of efficient tram, bus, and metro systems provides a strong foundation for Shared Mobility services to thrive as they complement existing public transportation options. Moreover, the compact size of Czechia's urban centers makes Shared Mobility solutions like bike-sharing and scooter rentals particularly practical and appealing to residents and visitors alike.

Underlying macroeconomic factors:
The increasing urbanization and digitalization of Czech society are driving the expansion of the Shared Mobility market. As more people migrate to cities and embrace digital technologies, the demand for innovative transportation solutions continues to grow. Furthermore, the government's focus on sustainability and reducing carbon emissions is creating a favorable environment for Shared Mobility providers offering eco-friendly alternatives to traditional modes of transport.

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
  • User Demographics
  • Global Comparison
  • Methodology
  • Key Market Indicators
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