Shared Mobility - Senegal

  • Senegal
  • Senegal is expected to witness a significant surge in revenue in the Shared Mobility market, with a projection of US$300.70m in 2024.
  • This growth is expected to continue at an annual rate of 3.78%, resulting in a market volume of US$362.00m by 2029.
  • The largest market in the market is Public Transportation, with a projected market volume of US$140.10m in 2024.
  • By 2029, the number of users in the Public Transportation market is expected to reach 12.86m users.
  • The user penetration rate is likely to increase from 74.4% in 2024 to 83.7% by 2029.
  • The average revenue per user (ARPU) is expected to be US$22.19.
  • In the Shared Mobility market, 43% of total revenue is expected to be generated through online sales by 2029.
  • It is interesting to note that China is projected to generate the most revenue in the Shared Mobility market at US$365bn in 2024, when compared globally.
  • Shared mobility services are gaining popularity in Senegal as a cost-effective and convenient transportation solution for urban residents.

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

 
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Analyst Opinion

The Shared Mobility market in Senegal is experiencing a significant growth trajectory, driven by changing customer preferences, local special circumstances, and underlying macroeconomic factors.

Customer preferences:
In Senegal, customers are increasingly looking for convenient and cost-effective transportation options. Shared Mobility services such as ride-hailing, bike-sharing, and car-sharing are becoming popular choices among consumers who seek flexibility and affordability in their daily commutes. The convenience of booking a ride through a mobile app and the option to share rides with others are key factors driving the demand for Shared Mobility services in the country.

Trends in the market:
One of the notable trends in the Shared Mobility market in Senegal is the rise of motorcycle taxis, also known as "motos-taxis. " These two-wheeled transportation services have gained popularity due to their ability to navigate through traffic congestion quickly, making them a preferred choice for many commuters in urban areas. Additionally, electric bikes and scooters are emerging as sustainable Shared Mobility options, aligning with global trends towards eco-friendly transportation solutions.

Local special circumstances:
Senegal's urban centers, such as Dakar, face challenges related to traffic congestion and limited parking spaces. The growing population in these cities has put pressure on existing transportation infrastructure, making Shared Mobility services a practical solution for addressing mobility needs. Moreover, the country's youthful demographic profile and increasing smartphone penetration rate have contributed to the rapid adoption of Shared Mobility services among tech-savvy consumers.

Underlying macroeconomic factors:
The economic development and urbanization taking place in Senegal are key macroeconomic factors driving the growth of the Shared Mobility market. As more people move to cities in search of better opportunities, the demand for efficient transportation services increases. Shared Mobility providers have capitalized on this trend by offering affordable and on-demand services that cater to the evolving needs of urban dwellers. Additionally, government initiatives to improve transportation infrastructure and promote sustainable mobility solutions have created a conducive environment for the expansion of Shared Mobility services in Senegal.

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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