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.
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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
The Bike-sharing market in Romania is experiencing significant growth and development, driven by various factors such as changing customer preferences, emerging trends, local special circumstances, and underlying macroeconomic factors. Customer preferences in Romania have shifted towards more sustainable and eco-friendly transportation options, leading to an increased demand for bike-sharing services. With growing environmental awareness and a desire to reduce carbon emissions, consumers are actively seeking alternative modes of transportation that are both convenient and environmentally friendly. Bike-sharing provides a cost-effective and efficient solution, allowing individuals to commute short distances without the need for a personal vehicle. Trends in the market indicate a growing number of bike-sharing operators entering the Romanian market, offering a variety of bike models and pricing options. This increased competition has led to improved service quality, with operators focusing on enhancing user experience through the integration of advanced technologies such as mobile applications and GPS tracking. These innovations allow customers to easily locate and rent bikes, making the process more convenient and user-friendly. Local special circumstances also contribute to the development of the Bike-sharing market in Romania. The country has a well-established cycling culture, with a significant number of individuals using bicycles as their primary mode of transportation. This existing infrastructure and culture provide a solid foundation for the growth of bike-sharing services, as it aligns with the preferences and habits of the local population. Underlying macroeconomic factors, such as urbanization and population growth, further drive the growth of the Bike-sharing market in Romania. As cities become more crowded and congested, there is an increasing need for efficient and sustainable transportation solutions. Bike-sharing offers a viable alternative to traditional modes of transportation, allowing individuals to navigate through traffic more easily and reduce travel time. Additionally, the relatively low cost of bike-sharing compared to owning a personal vehicle makes it an attractive option for cost-conscious consumers. Overall, the Bike-sharing market in Romania is experiencing significant growth due to changing customer preferences, emerging trends, local special circumstances, and underlying macroeconomic factors. The market is expected to continue expanding as more operators enter the market and innovative technologies are integrated into bike-sharing services. With a strong cycling culture and a growing demand for sustainable transportation options, bike-sharing is set to become an integral part of Romania's urban mobility landscape.
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