Definition:
The Bike-sharing market includes short-term bike-sharing services. In bike-sharing services, bicycles are generally owned by a bike-sharing provider and are independently reserved by customers around the clock. Customers are required to open an account with the bike-sharing provider and can then reserve bicycles. This is usually done with a smartphone app, but there are also service providers that allow reservations to be made via the provider's website, by telephone, or at a terminal.
The two most frequently used bike-sharing varieties are the following: station-based (e.g., Stadtrad and Citi Bike New York) and free-floating (such as nextbike and ofo). With station-based bike-sharing, a bicycle is retrieved from a bike-sharing station and returned to either the same station or dropped off at another station. With free-floating bike-sharing, it is possible to find bicycles everywhere within the service provider's business zone and leave the bicycle anywhere in accordance with traffic regulations. Peer-to-peer bike-sharing is not included in the market definition of this market. 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 Bike-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.
Notes: Data was converted from local currencies using average exchange rates of the respective year.
Most recent update: Jul 2024
Source: Statista Market Insights
Most recent update: Jul 2024
Source: Statista Market Insights
Most recent update: Mar 2023
Source: Statista Market Insights
Most recent update: Jul 2024
Source: Statista Market Insights
Bike-sharing has become increasingly popular in Czechia in recent years, with a growing number of people opting for this convenient and eco-friendly mode of transportation.
Customer preferences: One of the main reasons for the development of the Bike-sharing market in Czechia is the changing preferences of customers. More and more people are seeking alternative transportation options that are cost-effective, efficient, and environmentally friendly. Bike-sharing provides a solution to these needs, allowing individuals to easily access bicycles for short trips or commutes. The convenience of being able to pick up and drop off a bike at various locations throughout the city appeals to customers who value flexibility and ease of use.
Trends in the market: The Bike-sharing market in Czechia is experiencing several key trends. Firstly, there has been a significant increase in the number of bike-sharing companies operating in the country. This competition has led to improved services and expanded coverage, making bike-sharing more accessible to a larger population. Additionally, bike-sharing services are increasingly integrating with mobile applications, allowing customers to easily locate and unlock bikes using their smartphones. This technological advancement has further enhanced the user experience and convenience of bike-sharing.
Local special circumstances: Czechia's urban landscape and infrastructure also contribute to the growth of the Bike-sharing market. The country has well-developed cycling infrastructure, with dedicated bike lanes and paths in many cities. This makes it easier and safer for individuals to cycle, encouraging more people to choose bikes as their preferred mode of transportation. Furthermore, Czechia's compact cities and relatively short commuting distances make bike-sharing a practical and efficient option for many residents.
Underlying macroeconomic factors: The Bike-sharing market in Czechia is also influenced by macroeconomic factors. The country has a stable and growing economy, which has led to an increase in disposable income for many individuals. This allows more people to afford bike-sharing services and contributes to the market's growth. Additionally, the government's support for sustainable transportation initiatives and the promotion of cycling as a means of reducing congestion and pollution have created a favorable environment for the bike-sharing industry to thrive. In conclusion, the Bike-sharing market in Czechia is developing rapidly due to changing customer preferences, improved services, favorable local circumstances, and underlying macroeconomic factors. As more people prioritize convenience, cost-effectiveness, and environmental sustainability in their transportation choices, the demand for bike-sharing services is expected to continue to rise.
Most recent update: Jul 2024
Source: Statista Market Insights
Most recent update: Jul 2024
Source: Statista Market Insights
Data coverage:
The data encompasses B2C enterprises. Figures are based on bookings, revenues, and online shares of bike-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.Notes: Based on data from IMF, World Bank, UN and Eurostat
Most recent update: Sep 2024
Source: Statista Market Insights