Shared Mobility - Cameroon

  • Cameroon
  • Cameroon is expected to witness a significant surge in revenue in the Shared Mobility market, with a projected value of US$573.30m by 2025.
  • The market is expected to grow at an annual rate of 3.85%, which would result in a projected market volume of US$666.90m by 2029.
  • Public Transportation is the largest of the Shared Mobility markets with a projected market volume of US$272.80m by 2025.
  • By 2029, the number of users in the Public Transportation market is expected to reach 25.61m users.
  • In 2025, user penetration is expected to be 77.6%, which is expected to increase to 84.7% by 2029.
  • The average revenue per user (ARPU) is expected to be US$28.50.
  • By 2029, 39% of total revenue in the Shared Mobility market is expected to be generated through online sales.
  • It is interesting to note that China is expected to generate the most revenue in the Shared Mobility market, with a projected value of US$382bn by 2025, when compared globally.
  • Shared mobility services are still in their infancy in Cameroon, but the government is making efforts to increase their adoption through regulatory frameworks.

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

 
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Analyst Opinion

The Shared Mobility market in Cameroon is experiencing significant growth and evolution in recent years.

Customer preferences:
Customers in Cameroon are increasingly looking for convenient and cost-effective transportation options, which has led to a rise in demand for shared mobility services. The flexibility and affordability of shared mobility options appeal to a wide range of customers, including students, young professionals, and families looking for efficient ways to commute within cities.

Trends in the market:
One notable trend in the Shared Mobility market in Cameroon is the increasing popularity of motorcycle taxis as a preferred mode of transportation. This trend can be attributed to the country's growing urban population and traffic congestion issues, making motorcycles a quick and agile option for navigating through crowded city streets. Additionally, the rise of digital platforms and mobile apps has made it easier for customers to access shared mobility services, further driving the market growth.

Local special circumstances:
Cameroon's unique geographical landscape, with a mix of urban centers and rural areas, presents both challenges and opportunities for the Shared Mobility market. While urban areas like Douala and Yaoundé have a high demand for shared mobility services due to population density and traffic congestion, rural areas may have limited access to such services. This disparity in service availability across different regions poses a challenge for companies looking to expand their operations nationwide.

Underlying macroeconomic factors:
The growth of the Shared Mobility market in Cameroon is also influenced by macroeconomic factors such as rising disposable incomes and changing consumer behavior. As more Cameroonians enter the middle class and seek affordable transportation solutions, shared mobility services are becoming increasingly popular. Additionally, government initiatives to improve transportation infrastructure and regulations are creating a conducive environment for the expansion of shared mobility companies in the country.

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.

Overview

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