Car-sharing - France | Statista Market Forecast

France is projected to see a revenue of US$435.00m in the Car-sharing market by 2024.
Furthermore, it is expected to experience an annual growth rate of 2.43% between 2024 and 2029, resulting in a market volume of US$490.40m by 2029.
Additionally, the number of users in the Car-sharing market is projected to reach 1.35m users by 2029.
The user penetration rate is expected to increase from 1.9% in 2024 to 2.1% by 2029.
The projected average revenue per user (ARPU) is US$354.80.
By 2029, it is projected that 99% of total revenue in the Car-sharing market will be generated through online sales.
In terms of global comparison, United States is expected to generate the highest revenue in the Car-sharing market, amounting to US$3bn in 2024.
France's Car-sharing market is thriving, with a number of innovative companies offering affordable and convenient options for urban commuters.

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.

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

Free-floating car sharing bookings
Station-based car sharing bookings
Companies offering a combination of free-floating and station-based car sharing
Services such as Share Now, Sixt Share, or Enterprise CarShare

Peer-to-peer car sharing bookings
Rental car booking
Taxi services
Carpools
Ride hailing services

The Car-sharing market in France has been experiencing significant growth in recent years.

Customer preferences: One of the main reasons for this growth is the changing preferences of customers. People are increasingly looking for flexible and convenient transportation options, and car-sharing provides exactly that. With car-sharing, individuals can easily access a car when they need it without the hassle of owning and maintaining one. This is particularly appealing to urban dwellers who may not need a car on a daily basis but still require one occasionally for specific purposes.

Trends in the market: Another trend driving the growth of the car-sharing market in France is the increasing popularity of electric vehicles (EVs). Many car-sharing companies in the country have started offering electric cars as part of their fleets. This is in line with the French government's push towards reducing carbon emissions and promoting sustainable transportation. The availability of electric car-sharing options has attracted environmentally conscious customers who want to reduce their carbon footprint while still enjoying the convenience of car usage.

Local special circumstances: France has a well-developed public transportation system, which includes an extensive network of trains, buses, and trams. However, there are still areas in the country where public transportation options are limited, particularly in rural and remote regions. Car-sharing fills this gap by providing an alternative mode of transportation for individuals living in these areas. Additionally, car-sharing services are often more cost-effective than owning a car, especially when considering the high costs of fuel, insurance, and maintenance.

Underlying macroeconomic factors: The car-sharing market in France is also influenced by macroeconomic factors such as population density and income levels. Urban areas with high population density and limited parking spaces are more likely to see a higher demand for car-sharing services. Additionally, income levels play a role in determining the affordability of car ownership. In regions where the cost of living is high, individuals may opt for car-sharing as a more cost-effective alternative. In conclusion, the car-sharing market in France is growing due to changing customer preferences, the increasing popularity of electric vehicles, the need for transportation options in areas with limited public transportation, and underlying macroeconomic factors such as population density and income levels. As these trends continue, it is expected that the car-sharing market in France will further expand in the coming years.

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.

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