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Car-sharing - France

France

France is projected to see a revenue of €0.40bn in the Car-sharing market by 2024.
Furthermore, it is expected to experience an annual growth rate of 2.83% between 2024 and 2029, resulting in a market volume of €0.46bn 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 €329.00.
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 €2,769m in 2024.
France's Car-sharing market is thriving, with a number of innovative companies offering affordable and convenient options for urban commuters.

Key regions: Europe, Germany, India, United States, Malaysia

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Analyst Opinion

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.

Methodology

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.