Car-sharing - Qatar

  • Qatar
  • In Qatar, revenue in the Car-sharing market is forecasted to reach US$18.20m in 2024.
  • Revenue is anticipated to demonstrate an annual growth rate (CAGR 2024-2028) of 2.45%, leading to a projected market volume of US$20.05m by 2028.
  • The number of users in the Car-sharing market is expected to reach 108.40k users by 2028.
  • User penetration is estimated to be 2.7% in 2024 and 3.9% by 2028.
  • The average revenue per user (ARPU) is projected to be US$246.70.
  • In the Car-sharing market, 100% of total revenue will be generated through online sales by 2028.
  • When compared globally, the United States is expected to generate the highest revenue (US$3,066m 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.

Key regions: United States, Germany, South America, Indonesia, Malaysia

 
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Analyst Opinion

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.

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.

Overview

  • Revenue
  • Sales Channels
  • Analyst Opinion
  • Users
  • Global Comparison
  • Methodology
  • Key Market Indicators
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