Car-sharing - Qatar | Statista Market Forecast

In Qatar, revenue in the Car-sharing market is forecasted to reach US$18.40m in 2024.
Revenue is anticipated to demonstrate an annual growth rate (CAGR 2024-2029) of 4.08%, leading to a projected market volume of US$22.48m by 2029.
The number of users in the Car-sharing market is expected to reach 85.32k users by 2029.
User penetration is estimated to be 2.5% in 2024 and 3.0% by 2029.
The average revenue per user (ARPU) is projected to be US$267.60.
In the Car-sharing market, 100% of total revenue will be generated through online sales by 2029.
When compared globally, the United States is expected to generate the highest revenue (US$3bn in 2024).
Qatar's Car-sharing market is seeing a rise in luxury vehicle options, catering to the affluent population's demand for premium shared mobility services.

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 Qatar has been experiencing significant growth in recent years, driven by various factors contributing to the increasing popularity of car-sharing services in the country.

Customer preferences: Customers in Qatar are increasingly valuing convenience, cost-effectiveness, and sustainability when it comes to transportation options. The flexibility of being able to access a vehicle on-demand without the commitment of ownership is a key factor driving the preference for car-sharing services. Additionally, the environmentally conscious mindset of consumers is leading them to opt for more eco-friendly modes of transportation, such as car-sharing.

Trends in the market: One of the prominent trends in the Car-sharing market in Qatar is the growing partnerships between car-sharing companies and local businesses or government entities. These collaborations aim to expand the reach of car-sharing services and make them more accessible to a wider audience. Furthermore, the integration of advanced technology, such as mobile apps for booking and unlocking vehicles, is enhancing the overall user experience and attracting more customers to the car-sharing market.

Local special circumstances: In Qatar, the government's initiatives to promote sustainable transportation solutions are playing a crucial role in shaping the Car-sharing market. With a focus on reducing traffic congestion and carbon emissions, authorities are supporting the development of car-sharing services as part of the country's overall transportation strategy. Additionally, the high level of urbanization in Qatar's major cities is creating a conducive environment for the growth of car-sharing, as more people seek efficient and convenient mobility options in densely populated areas.

Underlying macroeconomic factors: The growing urban population, rising disposable incomes, and increasing awareness of environmental issues are some of the macroeconomic factors driving the expansion of the Car-sharing market in Qatar. As the country continues to develop its infrastructure and diversify its economy, there is a greater emphasis on sustainable transportation solutions, making car-sharing an attractive option for both residents and visitors alike.

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.

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