Shared Mobility - Uganda

  • Uganda
  • The Shared Mobility market in Uganda is expected to experience significant growth with projected revenue of US$347.00m by 2024.
  • This growth is expected to continue with a Compound Annual Growth Rate (CAGR) of 5.54% between 2024 and 2029, resulting in a projected market volume of US$454.40m by 2029.
  • Flights are the largest of the Shared Mobility markets, with projected revenue of US$105.50m in 2024.
  • By 2029, the number of users in the Public Transportation market is expected to reach 19.17m users.
  • The user penetration is expected to be 45.7% in 2024 and 55.0% in 2029.
  • The Average Revenue Per User (ARPU) is estimated to be US$15.21, indicating a significant potential for revenue growth.
  • In Uganda, 54% of the total revenue in the Shared Mobility market is expected to be generated through online sales by 2029.
  • It is worth noting that China is projected to generate the highest revenue in the global comparison, with an estimated revenue of US$365bn in 2024.
  • The shared mobility market in Uganda is seeing a rise in motorcycle taxi services, such as SafeBoda and UberBoda, due to heavy traffic and limited public transportation.

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

 
Market
 
Region
 
Region comparison
 
Currency
 

Analyst Opinion

The Shared Mobility market in Uganda has been experiencing significant growth and development in recent years.

Customer preferences:
Customers in Uganda are increasingly turning to shared mobility services due to the convenience and cost-effectiveness they offer. With the rise of urbanization and a growing middle class, there is a higher demand for efficient transportation options. Shared mobility services provide a flexible and affordable solution for individuals looking to navigate the congested city streets.

Trends in the market:
One of the key trends in the Shared Mobility market in Uganda is the increasing popularity of motorcycle taxis, known as boda bodas. These informal transportation services have become a staple in the country, offering a quick and convenient way to travel short distances in busy urban areas. Additionally, the emergence of ride-hailing services has also been gaining traction, providing customers with a more formalized and organized alternative to traditional taxis.

Local special circumstances:
Uganda's unique geographical landscape and infrastructure challenges have contributed to the growth of the Shared Mobility market. With road conditions varying across the country and limited public transportation options in certain areas, shared mobility services have filled a crucial gap in the market. The informal nature of boda bodas has also made them a popular choice among locals for their accessibility and flexibility.

Underlying macroeconomic factors:
The development of the Shared Mobility market in Uganda is also influenced by macroeconomic factors such as rising disposable incomes and technological advancements. As more people gain access to smartphones and mobile payment systems, the adoption of shared mobility services becomes more widespread. Additionally, the government's efforts to improve road infrastructure and regulations have helped create a more conducive environment for the growth of the market.

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
Please wait

Contact

Get in touch with us. We are happy to help.
Statista Locations
Contact Meredith Alda
Meredith Alda
Sales Manager– Contact (United States)

Mon - Fri, 9am - 6pm (EST)

Contact Yolanda Mega
Yolanda Mega
Operations Manager– Contact (Asia)

Mon - Fri, 9am - 5pm (SGT)

Contact Ayana Mizuno
Ayana Mizuno
Junior Business Development Manager– Contact (Asia)

Mon - Fri, 10:00am - 6:00pm (JST)

Contact Lodovica Biagi
Lodovica Biagi
Director of Operations– Contact (Europe)

Mon - Fri, 9:30am - 5pm (GMT)

Contact Carolina Dulin
Carolina Dulin
Group Director - LATAM– Contact (Latin America)

Mon - Fri, 9am - 6pm (EST)