Shared Mobility - Republic of the Congo

Republic of the Congo

Highlights

The Republic of the Congo is expected to see a rise in the revenue of the Shared Mobility market, with a projected revenue of US$128.10m by 2024.
This is expected to grow annually at a rate of 3.28%, leading to a projected market volume of US$150.50m by 2029.
The largest market in this sector is Public Transportation, with a projected market volume of US$64.43m in 2024.
By 2029, the number of users in Public Transportation is expected to reach 5.25m users.
The user penetration in the Shared Mobility market market will increase from 75.7% in 2024 to 82.9% by 2029.
The average revenue per user (ARPU) is expected to be US$31.29.
In the Shared Mobility market, 32% of the total revenue will be generated through online sales by 2029.
When compared globally, China is expected to generate the most revenue, with US$365bn in 2024.
Shared mobility services are not yet available in the Republic of the Congo due to limited infrastructure and low car ownership rates.

Key regions:

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 definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

The Shared Mobility market in Republic of the Congo is experiencing a shift in consumer preferences towards more convenient and cost-effective transportation options.

Customer preferences: Customers in Republic of the Congo are increasingly opting for shared mobility services due to their affordability, flexibility, and ease of access. Shared mobility options such as ride-hailing, bike-sharing, and scooter-sharing are becoming popular choices among urban residents looking for convenient ways to navigate the city.

Trends in the market: One of the key trends in the Shared Mobility market in Republic of the Congo is the growing popularity of motorcycle taxis as a mode of transportation. Motorcycle taxis offer a quick and efficient way to travel through the city's congested streets, appealing to commuters looking to avoid traffic delays. Additionally, the rise of app-based ride-hailing services has made it easier for customers to book rides on-demand, further driving the growth of shared mobility in the country.

Local special circumstances: Republic of the Congo's urban centers are experiencing rapid population growth and increasing traffic congestion, creating a demand for alternative transportation solutions. Shared mobility services address the need for efficient and affordable transportation options in congested cities, making them a popular choice among residents. Additionally, the country's relatively young population, coupled with increasing smartphone penetration, has contributed to the adoption of shared mobility services among tech-savvy consumers.

Underlying macroeconomic factors: The Shared Mobility market in Republic of the Congo is also influenced by macroeconomic factors such as rising urbanization, income levels, and infrastructure development. As more people move to urban areas in search of better opportunities, the demand for convenient transportation options is expected to increase. Moreover, the government's efforts to improve transportation infrastructure and regulate the shared mobility sector are likely to further drive the market's growth in the coming years.

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.