Shared Mobility - Ethiopia

  • Ethiopia
  • The Shared Mobility market in Ethiopia is expected to witness a significant growth in revenue in the coming years.
  • It is projected to reach US$1,804.00m by 2024 and show an annual growth rate (CAGR 2024-2029) of 12.87%.
  • This will result in a projected market volume of US$3,305.00m by 2029.
  • The largest market in the Ethiopian Shared Mobility market is Public Transportation and is expected to reach a market volume of US$698.30m by 2024.
  • The number of Public Transportation users is expected to increase to 70.13m users by 2029.
  • The user penetration of 53.1% in 2024 is expected to be 73.8% by 2029.
  • The average revenue per user (ARPU) is expected to be US$26.16.
  • By 2029, online sales are expected to generate 48% of the total revenue in the Shared Mobility market.
  • In comparison with other countries, China is projected to generate the most revenue in the Shared Mobility market with a revenue of US$365bn in 2024.
  • Shared mobility services, such as ride-sharing and bike-sharing, are still largely underdeveloped in Ethiopia, but the government is taking steps to promote their growth.

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

 
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Analyst Opinion

The Shared Mobility market in Ethiopia is experiencing significant growth and development, driven by various factors unique to the region.

Customer preferences:
Customers in Ethiopia are increasingly seeking convenient and cost-effective transportation options, leading to a growing demand for shared mobility services. The younger population, in particular, is more inclined towards flexible and on-demand transportation solutions, aligning with global trends in urban mobility preferences.

Trends in the market:
One of the key trends shaping the Shared Mobility market in Ethiopia is the rise of ride-hailing services, offering a convenient alternative to traditional taxis. The increasing penetration of smartphones and improved internet connectivity have further fueled the adoption of ride-hailing platforms in urban centers. Additionally, the emergence of bike-sharing and car-sharing services is gaining traction, providing environmentally friendly options for short-distance travel.

Local special circumstances:
Ethiopia's rapidly expanding urban population, coupled with infrastructural challenges and traffic congestion in major cities, has created a conducive environment for shared mobility services to thrive. The government's efforts to improve transportation infrastructure and promote sustainable mobility solutions are also contributing to the growth of the Shared Mobility market in the country.

Underlying macroeconomic factors:
The growing middle class and rising disposable incomes in Ethiopia are driving consumer spending on transportation services. As more people migrate to urban areas in search of better opportunities, the demand for efficient and affordable transportation options continues to increase. Moreover, the government's focus on promoting digital innovation and entrepreneurship is creating a favorable ecosystem for shared mobility service providers to expand their operations 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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