Moped-sharing - France | Statista Market Forecast

The Moped-sharing market in France is projected to reach a revenue of US$73.31m in 2024.
It is expected to show an annual growth rate (CAGR 2024-2029) of 3.54%, resulting in a projected market volume of US$87.23m by 2029.
By 2029, the number of users in the Moped-sharing market is expected to amount to 320.60k users.
The user penetration is projected to be 0.4% in 2024 and 0.5% by 2029.
The average revenue per user (ARPU) is expected to amount to US$257.60.
The Moped-sharing market is an online-only market.
In global comparison, India is expected to generate the most revenue, with US$700m in 2024.
France is experiencing a rise in moped-sharing services, with companies like Coup and Cityscoot leading the way in urban mobility.

Definition:

The Moped-sharing market covers the growing industry of shared moped services, where individuals can rent mopeds for short periods of time. Moped-sharing services typically operate through mobile applications, allowing users to locate nearby mopeds, unlock them using a digital interface, and pay for their usage. To use the service, customers are required to open an account with the moped-sharing provider. Providers normally offer dockless services, so it is possible to find mopeds everywhere within the provider’s business zone and to leave the mopeds anywhere in accordance with traffic regulations. 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 Moped-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 Moped-sharing services
App-based services such as Cooltra, felyx, Revel, and Yulu

Private moped usage
Multi-day moped rentals
Peer-to-peer moped reservations
E-Scooter-sharing and other forms of micro-mobility

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

Customer preferences: One of the main reasons for the growth of the Moped-sharing market in France is the increasing preference for eco-friendly transportation options. With growing concerns about air pollution and the need to reduce carbon emissions, many consumers are opting for more sustainable modes of transport. Moped-sharing services provide a convenient and environmentally friendly alternative to traditional transportation methods such as cars or motorcycles.

Trends in the market: The Moped-sharing market in France has also been driven by the increasing popularity of shared mobility services. In recent years, there has been a shift towards a sharing economy, where consumers are more willing to rent or share goods and services rather than owning them outright. Moped-sharing services align with this trend by providing an affordable and flexible transportation option for short journeys. Another trend in the market is the integration of technology into Moped-sharing services. Many companies now offer mobile applications that allow users to easily locate and unlock available mopeds, making the process more convenient and user-friendly. This technological integration has contributed to the growth of the market by attracting tech-savvy consumers who value convenience and efficiency.

Local special circumstances: The Moped-sharing market in France has also been influenced by local factors. France has a well-developed transportation infrastructure, with extensive networks of roads and public transportation systems. However, in urban areas, congestion and limited parking spaces can make traditional modes of transport less attractive. Moped-sharing services provide a solution to these challenges by offering a convenient and flexible transportation option that can easily navigate through traffic and be parked in smaller spaces.

Underlying macroeconomic factors: The growth of the Moped-sharing market in France can also be attributed to favorable macroeconomic factors. France has a strong economy and a high level of disposable income, which allows consumers to afford the cost of using Moped-sharing services. Additionally, the high population density in urban areas creates a large potential customer base for these services. In conclusion, the growth of the Moped-sharing market in France can be attributed to customer preferences for eco-friendly transportation options, the increasing popularity of shared mobility services, the integration of technology into Moped-sharing services, local special circumstances such as congestion and limited parking spaces, and favorable macroeconomic factors. As these trends continue to shape the market, it is likely that the Moped-sharing market in France will continue to grow in the coming years.

Data coverage:

The data encompasses B2C enterprises. Figures are based on bookings and revenues of moped-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.

This report presents a comprehensive analysis and additional information on the Mobility market, in a PDF format.