E-Scooter-sharing - Czechia | Statista Market Forecast

According to projections, the E-Scooter-sharing market in Czechia is expected to generate a revenue of US$3.96m in 2024.
It is estimated that the revenue will grow annually at a rate of 3.99% between 2024 and 2029, resulting in a market volume of US$4.81m by 2029.
It is expected that the number of users in this market will reach 275.80k users by 2029, with a user penetration of 2.4% in 2024 and 2.6% by 2029.
The average revenue per user (ARPU) is projected to be US$15.49.
By 2029, 100% of the total revenue in the E-Scooter-sharing market will be generated through online sales.
In comparison to other countries, United States is expected to generate the most revenue in this market, with a projected revenue of US$730m in 2024.
E-scooter-sharing is gaining popularity in Czechia, with major cities like Prague and Brno seeing an increase in usage due to their compact urban areas.

Definition:

The E-Scooter-sharing market comprises e-scooter-sharing services that provide short-term rentals of electric motorized scooters (stand-up scooters). In e-scooter-sharing, scooters are generally owned by an e-scooter-sharing provider and can be reserved independently by customers around the clock. Customers are required to open an account with the e-scooter-sharing provider and can then reserve the vehicles, typically with a smartphone app. Providers normally offer dockless services, so it is possible to find e-scooters everywhere within the provider’s business zone, e.g., on sidewalks, and to leave the scooters anywhere in accordance with traffic regulations. Moped-sharing services are not available in all countries; thus, only a limited number of countries and regions can be selected.

Additional Information:

The main performance indicators of the E-Scooter-sharing market are revenues, average revenue per user (ARPU), user numbers and user penetration rates. Additionally, online and offline sales channel shares display the distribution of online and offline bookings. The ARPU refers to the average revenue one user generates per year while the revenue represents the total booking volume. Revenues are generated through both online and offline sales channels and include exclusively B2C revenues and users for the mentioned market. User numbers show only those individuals who have made a reservation, independent of the number of travelers on the booking. Each user is only counted once per year.

The booking volume includes all booked rides made by users from the selected region, regardless of where the ride took place.

For further information on the data displayed, refer to the info button right next to each box.

Free-floating e-scooter-sharing services
Services such as Lime, Tier, Bird, and Movo

Private e-scooter usage
Multi-day e-scooter rentals
Peer-to-peer e-scooter reservations
Bike sharing and other forms of micro-mobility

The E-Scooter-sharing market in Czechia has been experiencing significant growth in recent years.

Customer preferences: One of the main reasons for the growth of the E-Scooter-sharing market in Czechia is the increasing popularity of eco-friendly transportation options. Customers are becoming more conscious of their environmental impact and are actively seeking out sustainable alternatives to traditional modes of transportation. E-Scooter-sharing provides a convenient and green option for short-distance travel, allowing customers to reduce their carbon footprint while enjoying the flexibility and convenience of electric scooters.

Trends in the market: The E-Scooter-sharing market in Czechia has witnessed the emergence of several key trends. Firstly, there has been a proliferation of E-Scooter-sharing companies entering the market, leading to increased competition and innovation. These companies are continuously improving their services and expanding their fleets to meet the growing demand. Additionally, there has been a shift towards dockless E-Scooter-sharing models, where users can locate and unlock scooters using mobile apps, providing greater convenience and flexibility for customers.

Local special circumstances: Czechia has a well-developed urban infrastructure, with many cities being highly pedestrian-friendly. This makes it an ideal environment for E-Scooter-sharing, as users can easily navigate through the city streets and reach their destinations quickly. Furthermore, the relatively compact size of Czechia's cities makes it feasible for E-Scooter-sharing companies to deploy and manage their fleets effectively.

Underlying macroeconomic factors: The growth of the E-Scooter-sharing market in Czechia is also influenced by underlying macroeconomic factors. The country has experienced steady economic growth in recent years, resulting in increased disposable income and a higher standard of living for many Czech citizens. This has created a favorable environment for the adoption of new technologies and services, such as E-Scooter-sharing. Additionally, the government has shown support for sustainable transportation initiatives, providing incentives and infrastructure to encourage the use of electric vehicles, including electric scooters. In conclusion, the E-Scooter-sharing market in Czechia is developing rapidly due to customer preferences for eco-friendly transportation options, the emergence of new trends in the market, the local special circumstances that make it conducive for E-Scooter-sharing, and the underlying macroeconomic factors that support the adoption of electric scooters. As the market continues to grow, it is expected that E-Scooter-sharing will become an integral part of the transportation landscape in Czechia.

Data coverage:

The data encompasses B2C enterprises. Figures are based on bookings and revenues of e-scooter-sharing services.

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.

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