Definition:
The Car-sharing market encompasses car-sharing services. Car-sharing service providers own the vehicles that customers can book independently at any time. Customers need to enter into a contract with the service provider in order to be able to book vehicles via a smartphone app, the website of the service provider, or by telephone. The vehicle is usually opened via smartphone or a chip card. Some service providers, however, provide the car key in a key safe at the car-sharing station. Prices are calculated per minute or hour, with the money being debited from the customer's bank account. Peer-to-peer car-sharing is not included in this market. Car-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 Car-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 2024
Source: Statista Market Insights
Most recent update: Jul 2024
Source: Statista Market Insights
The Car-sharing market in Germany has been experiencing significant growth in recent years, driven by changing customer preferences, emerging trends, and local special circumstances.
Customer preferences: Customers in Germany are increasingly opting for car-sharing services due to their convenience and cost-effectiveness. Car-sharing allows individuals to access a vehicle whenever they need it, without the hassle of owning and maintaining a car. This appeals to urban dwellers who may not require a car on a daily basis but still need occasional access to one. Additionally, younger generations are more inclined towards sharing economy models and are more open to using car-sharing services as an alternative to traditional car ownership.
Trends in the market: One of the key trends in the car-sharing market in Germany is the rise of electric car-sharing services. With growing concerns about environmental sustainability and the need to reduce carbon emissions, electric vehicles have gained popularity. Car-sharing companies are capitalizing on this trend by offering electric vehicles as part of their fleet, attracting environmentally conscious customers. Another trend in the market is the integration of car-sharing services with public transportation. Many car-sharing companies have partnered with public transportation providers to create a seamless travel experience for customers. This integration allows users to easily switch between different modes of transportation, reducing the need for private car ownership.
Local special circumstances: Germany has a well-developed public transportation network, which makes car-sharing services a viable alternative to owning a car. The country also has a high population density in urban areas, where parking spaces are limited and expensive. Car-sharing provides a practical solution for individuals who need occasional access to a vehicle without the burden of finding parking.
Underlying macroeconomic factors: Germany's strong economy and high disposable income levels have contributed to the growth of the car-sharing market. With a stable job market and increasing urbanization, more people are moving to cities, where car-sharing services are most in demand. Additionally, the government's support for sustainable transportation options, such as electric vehicles, has further boosted the car-sharing market. In conclusion, the car-sharing market in Germany is experiencing growth due to changing customer preferences, emerging trends, and local special circumstances. The convenience and cost-effectiveness of car-sharing services, the rise of electric car-sharing, integration with public transportation, and Germany's well-developed public transportation network and strong economy are all factors contributing to the development of the car-sharing market in Germany.
Most recent update: Jul 2024
Source: Statista Market Insights
Most recent update: Mar 2024
Sources: Statista Market Insights, Statista Consumer Insights Global
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 car-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