Shared Mobility - Zambia

  • Zambia
  • in Zambia, a country in southern Africa, is expected to witness a surge in the revenue of the Shared Mobility market in the coming years.
  • By 2024, the projected revenue for this market is estimated to reach US$227.10m.
  • Furthermore, it is expected to display an annual growth rate of 6.61%, resulting in a projected market volume of US$312.70m by 2029.
  • Within the Shared Mobility market, the largest market is Public Transportation.
  • The projected market volume for Public Transportation in Zambia is expected to reach US$129.60m by 2024.
  • Moreover, the number of Public Transportation users is expected to increase to 13.86m users by 2029.
  • In 2024, the user penetration of Public Transportation is estimated to be 66.7%, which is expected to increase to 78.9% by 2029.
  • The average revenue per user (ARPU) is projected to be US$16.11.
  • It is anticipated that by 2029, 35% of the total revenue in the Shared Mobility market in Zambia will be generated through online sales.
  • It is worth mentioning that when compared globally, China is expected to generate the highest revenue in this market, with an estimated revenue of US$365bn in 2024.
  • Zambia's shared mobility market is gradually gaining traction with the emergence of innovative startups providing solutions such as bike-sharing and ride-hailing services.

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

 
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Analyst Opinion

The Shared Mobility market in Zambia is experiencing a steady growth trajectory driven by changing consumer preferences, technological advancements, and unique local circumstances.

Customer preferences:
Customers in Zambia are increasingly valuing convenience, cost-effectiveness, and sustainability in their transportation choices. This shift in preferences is fueling the demand for shared mobility services such as ride-hailing, bike-sharing, and car-sharing. The younger population, in particular, is more inclined towards flexible and on-demand transportation options rather than traditional ownership models.

Trends in the market:
One of the prominent trends in the Shared Mobility market in Zambia is the rise of motorcycle taxis, locally known as "okadas. " These two-wheeled vehicles provide a quick and affordable mode of transportation in urban areas with congested traffic. Additionally, there is a growing interest in electric vehicles for shared mobility services, aligning with global efforts towards environmental sustainability.

Local special circumstances:
Zambia's infrastructure challenges, including inadequate public transportation systems and road conditions, create opportunities for shared mobility providers to fill the gaps in the market. Moreover, the country's urbanization rate and increasing smartphone penetration are propelling the adoption of shared mobility solutions. The tourism sector also contributes to the demand for convenient transportation options for both locals and visitors.

Underlying macroeconomic factors:
The macroeconomic landscape in Zambia, characterized by a young and tech-savvy population, rising disposable incomes, and urbanization, sets a favorable stage for the growth of the Shared Mobility market. As the government focuses on improving regulations and infrastructure to support the transportation sector, the market is likely to witness further expansion. Additionally, partnerships between local businesses and international mobility companies are driving innovation and investment in the sector.

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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