Ride-hailing - Mauritius | Statista Market Forecast

By 2024, the Ride-hailing market in Mauritius is expected to reach a revenue of US$4.10m.
The market is projected to grow annually at a rate of 7.29% between 2024 and 2029, resulting in a market volume of US$5.83m by 2029.
The number of users in this market is predicted to be 412.70k users by 2029, with a user penetration rate of 24.8% in 2024 and 31.6% by 2029.
The average revenue per user (ARPU) is expected to be US$12.73.
Additionally, 100% of the total revenue in this market is forecasted to be generated through online sales by 2029.
It is noteworthy that the highest revenue in the Ride-hailing market in 2024 is projected to be generated China, with US$60bn in revenue.
Mauritius's Ride-hailing market is dominated by local companies, such as Espace-Taxi, due to strict regulations that limit the entry of foreign competitors.

Definition:

The Ride-hailing market encompasses on-demand transportation services facilitated through mobile apps or online platforms. This market covers both private vehicle rides and taxi services, all booked exclusively online. It includes Transportation Network Companies (TNCs), such as Uber and Lyft, traditional taxis booked via apps, such as Free Now or Cabify, and ride-pooling services, such as Moia and Via. This market excludes peer-to-peer ride-sharing, focusing on professionally operated transport services booked digitally for efficient and convenient urban mobility. Rides of traditional taxi services hailed on the street or booked via telephone are not included in this market.

Additional Information:

The main performance indicators of the Ride-hailing 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.

Platforms that let users book rides offered by drivers using their private vehicles (e.g., Uber)
Taxi companies that offer their services through an app (e.g., Free Now)
Platforms that offer shared rides (ride-pooling) with other passengers (e.g., Moia, Via)

Traditional taxi rides booked offline with taxi companies (via street-hailing or by telephone)

The ride-hailing market in Mauritius has been experiencing significant growth in recent years. Customer preferences, trends in the market, local special circumstances, and underlying macroeconomic factors have all contributed to this development. Customer preferences in Mauritius have shifted towards convenience and efficiency, which has fueled the growth of the ride-hailing market. With the rise of smartphone usage and the increasing availability of ride-hailing apps, customers are now able to easily book a ride with just a few taps on their phones. This convenience factor has attracted a large number of customers who are looking for a hassle-free transportation option. Trends in the market have also played a role in the development of the ride-hailing market in Mauritius. As more and more people are opting for ride-hailing services, the market has become increasingly competitive. This has led to the introduction of new features and services by ride-hailing companies, such as cashless payments, loyalty programs, and vehicle options for different needs and budgets. These trends have further enhanced the appeal of ride-hailing services in Mauritius. Local special circumstances have also contributed to the growth of the ride-hailing market in Mauritius. The country has a relatively small land area, and public transportation options are limited. This has created a demand for alternative transportation solutions, which ride-hailing services have been able to fulfill. Additionally, the increasing number of tourists visiting Mauritius has also contributed to the growth of the ride-hailing market, as tourists often rely on ride-hailing services for their transportation needs. Underlying macroeconomic factors have also played a role in the development of the ride-hailing market in Mauritius. The country has been experiencing steady economic growth, which has led to an increase in disposable income and a growing middle class. This has resulted in a higher demand for convenient and reliable transportation options, which ride-hailing services have been able to provide. In conclusion, the ride-hailing market in Mauritius has been developing due to customer preferences for convenience and efficiency, trends in the market such as increased competition and the introduction of new features, local special circumstances including limited public transportation options and a growing number of tourists, and underlying macroeconomic factors such as steady economic growth and an increase in disposable income.

Data coverage:

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