Shared Mobility - Angola

Angola

Highlights

It is projected that Angola's revenue in the Shared Mobility market will reach US$2.07bn by 2024.
The sector is expected to display an annual growth rate (CAGR 2024-2029) of 5.65%, ultimately resulting in a projected market volume of US$2.73bn by 2029.
Among the markets of Shared Mobility market, the largest is Flights with a projected market volume of US$1.11bn in 2024.
By 2029, the number of users in the Public Transportation market is expected to amount to 16.85m users.
In 2024, user penetration will be 49.4%, which is expected to increase to 56.7% by 2029.
The average revenue per user (ARPU) is expected to be US$110.90.
It is estimated that 51% of total revenue will be generated through online sales by 2029.
In global comparison, China will generate the most revenue, with US$365bn expected in 2024.
Shared mobility services have yet to establish a foothold in Angola, as the country's infrastructure and regulatory environment remain underdeveloped.

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 Angola is experiencing a notable shift as more consumers are opting for convenient and cost-effective transportation solutions.

Customer preferences: Angolan consumers are increasingly drawn to Shared Mobility services due to the convenience and flexibility they offer. With the rise of urbanization and a growing middle class, there is a greater demand for efficient transportation options that can navigate the country's evolving infrastructure challenges.

Trends in the market: One of the key trends in the Shared Mobility market in Angola is the increasing popularity of ride-hailing services. This trend is driven by the ease of booking a ride through mobile applications and the competitive pricing compared to traditional taxi services. Additionally, carpooling services are gaining traction as consumers seek to reduce costs and minimize their environmental impact.

Local special circumstances: In Angola, the Shared Mobility market is influenced by unique local factors such as the rapid urbanization of major cities like Luanda. The congestion and limited parking spaces in urban areas are prompting residents to explore alternative transportation options, making Shared Mobility services an attractive solution.

Underlying macroeconomic factors: The development of the Shared Mobility market in Angola is also supported by macroeconomic factors such as the growth of the digital economy and increasing smartphone penetration. As technology becomes more accessible to the population, the adoption of Shared Mobility services is expected to continue to rise. Additionally, the government's efforts to improve transportation infrastructure and regulations are creating a conducive environment for the expansion of Shared Mobility providers in the country.

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.