Taxi - Uganda

  • Uganda
  • The Taxi market in Uganda is projected to reach a revenue of UGX US$42.47m in 2024.
  • It is expected to show an annual growth rate (CAGR 2024-2029) of 2.08%, resulting in a projected market volume of UGX US$47.07m by 2029.
  • By 2029, the number of users in the Taxi market is expected to reach 4.06m users.
  • The user penetration is projected to be 8.3% in 2024 and decrease to 7.1% by 2029.
  • The average revenue per user (ARPU) is expected to amount to UGX US$10.26.
  • In global comparison, China is anticipated to generate the most revenue, amounting to CNY US$54,100m in 2024.
  • The rise of ride-hailing services like SafeBoda and Uber in Uganda has revolutionized the Taxi market, offering convenient transportation options for residents and tourists alike.

Key regions: Indonesia, India, China, Germany, Europe

 
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Analyst Opinion

The Taxi market, covering exclusively services booked offline through methods like street hailing or telephone calls, remains an integral part of the broader transportation industry on a global scale. While ride-hailing platforms have revolutionized urban mobility through digital innovation, offline taxi services continue to play a crucial role, even if it is declining in many regions.

The significance of traditional taxis lies in their reliability and familiarity to passengers, especially in regions where technology adoption may lag or where personal interactions with drivers are valued. These services are deeply rooted in local transportation systems and provide accessible, point-to-point mobility solutions.

However, the traditional Taxi market faces its own set of challenges in the era of digital disruption. Competition from ride-hailing platforms has intensified, prompting traditional taxi operators to adapt to evolving consumer expectations. Some have incorporated mobile apps to compete on convenience and have begun implementing digital payment options. However, this Taxi market within the Shared Mobility market focuses exclusively on offline generated business. Online bookings of taxi services are included in the Shared Mobility Ride-hailing market.

Regulatory issues also loom large, as governments strive to maintain a level playing field between traditional taxis and ride-hailing companies. Balancing safety standards, pricing regulations, and licensing requirements remains a complex endeavor, often leading to contentious debates and changes in the regulatory landscape.

The Taxi market continues to serve as a vital component of mobility solutions. While facing competition and regulatory challenges, it remains an essential mode of travel, particularly in regions where it aligns with local preferences and infrastructure. However, it is essential to acknowledge that this offline taxi business is likely to face a further decline in many countries, albeit not disappearing entirely in the near future. To navigate this evolving landscape successfully, taxi operators must recognize the importance of offering their services online. Embracing a hybrid business model that combines offline and online bookings is considered an effective approach to sustaining their relevance in the ever-changing transportation landscape. This strategy allows traditional taxi services to preserve their reliability and personal touch while harnessing the benefits of digital innovation to remain competitive in the market.

Methodology

Data coverage:

The data encompasses B2C enterprises. Figures are based on bookings and revenues of traditional offline taxi services.

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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