Shared Mobility - Central Africa

Central Africa

Central Africa is expected to see a surge in the revenue of the Shared Mobility market by the year 2024, projected to reach a whopping US$3,163.00m.
This is expected to have a steady annual growth rate of 4.78%, resulting in a projected market volume of US$3,995.00m by the year 2029.
The largest market in this region is Flights, with a forecasted market volume of US$1,356.00m by 2024.
The number of users in the Public Transportation market is expected to rise to 56.76m users by the year 2029.
The user penetration rate is expected to be 53.4% in 2024 and 59.2% by 2029.
The average revenue per user (ARPU) is expected to amount to US$61.40.
By the year 2029, 47% of the total revenue will be generated through online sales.
In comparison to other countries, China is projected to generate the most revenue, with US$365bn in 2024.
Shared mobility services are still limited in Central Africa due to infrastructure challenges and low adoption rates.

Key regions: United States, Saudi Arabia, Germany, Malaysia, India

Definition:

The Shared Mobility market encompasses a diverse range of long- and short-distance mobility services. As the world moves towards a more connected and digital era, the Shared Mobility market is central to driving innovation, collaboration, and the development of intelligent transportation systems.

Structure:

The market consists of eleven further markets. These include the following markets:

The Car Rentals market contains vehicle rentals that have been booked in person, by telephone via the internet or an app.
The Car-sharing market includes professionally run car-sharing services that provide on-demand access vehicles, allowing users to rent cars for short periods, e.g., by minute or hour.
The Bike-sharing market contains short-term bike-sharing services. Bicycles can be found in the provider’s business zone where they are either parked at designated stations or freely distributed without fixed docks.
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.
The Taxi market covers exclusively traditional taxi services booked offline, typically via street hailing or phone calls.
The Flights market contains air travel bookings regardless of the purchase channel, such as an airline's website or a travel agency.
In the Public Transportation market, revenues generated by ticket sales from public transportation companies are considered.

Additional Information:

The main performance indicators of the Shared Mobility 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 above-mentioned markets. 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. Additional definitions for each market can be found within the respective market pages.

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.

Market

Region

Region comparison

Currency

Analyst Opinion

The Shared Mobility market in Central Africa is witnessing a gradual but steady growth driven by evolving customer preferences, local special circumstances, and underlying macroeconomic factors.

Customer preferences: Customers in Central Africa are increasingly looking for convenient and cost-effective transportation options, leading to a rising demand for shared mobility services. The flexibility and ease of access offered by shared mobility solutions align well with the preferences of modern consumers who seek on-demand and efficient transportation.

Trends in the market: In Central Africa, the Shared Mobility market is experiencing a surge in ride-sharing and bike-sharing services. This trend is influenced by the growing urban population, changing consumer behavior, and the need for sustainable transportation solutions. The adoption of digital platforms for booking rides and making payments is also on the rise, enhancing the overall customer experience in the shared mobility sector.

Local special circumstances: Central Africa's infrastructure challenges, including limited public transportation options and traffic congestion in urban centers, are driving the adoption of shared mobility services. Additionally, the region's young and tech-savvy population is embracing new transportation trends, contributing to the expansion of shared mobility offerings.

Underlying macroeconomic factors: The economic growth and increasing disposable income levels in Central Africa are playing a crucial role in the development of the Shared Mobility market. As more people gain access to smartphones and digital payment methods, the penetration of shared mobility services is expected to grow further. Moreover, government initiatives promoting sustainable transportation and reducing carbon emissions are creating a favorable environment for shared mobility providers to thrive in the region.

Methodology

Data coverage:

The data encompasses B2C enterprises. Figures are based on bookings, revenues, and online shares of car rentals, ride-hailing, taxi, car-sharing, bike-sharing, e-scooter-sharing, moped-sharing, trains, buses, public transportation, and flights.

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.