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E-Scooter-sharing - South Africa

South Africa

South Africa is projected to generate a revenue of US$529.90k in the E-Scooter-sharing market by 2024.
The revenue is expected to experience an annual growth rate of 12.89% between 2024 and 2028, resulting in a projected market volume of US$860.60k by 2028.
Moreover, it is expected that the number of users in South Africa will reach 89.51k users by 2028.
The user penetration rate is projected to be 0.1% in 2024 which will increase to 0.1% by 2028.
The average revenue per user (ARPU) is expected to be US$9.16.
Furthermore, it is anticipated that 100% of the total revenue in the E-Scooter-sharing market will be generated through online sales by 2028.
In comparison to other countries, United States is expected to generate the most revenue in this market, with a projected revenue of US$768,400k in 2024.
E-scooter sharing in South Africa is still in its early stages, but with growing interest and investment, it has the potential to become a popular mode of transportation in urban areas.

Key regions: India, Thailand, Malaysia, China, South America

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Analyst Opinion

The E-Scooter-sharing market in South Africa is experiencing significant growth and development.

Customer preferences: Customers in South Africa are increasingly embracing the concept of E-Scooter sharing due to its convenience and affordability. The younger generation, in particular, is attracted to the eco-friendly nature of E-Scooters and their ability to navigate through congested urban areas. Additionally, the rise of smartphone usage has made it easier for customers to locate and unlock E-Scooters, further driving their popularity.

Trends in the market: One of the key trends in the E-Scooter-sharing market in South Africa is the expansion of services to suburban areas. Initially, E-Scooter-sharing was mainly concentrated in major cities, but companies are now expanding their operations to reach a wider customer base. This trend is driven by the increasing demand for alternative transportation options in suburban areas, where public transportation may be limited. Another trend in the market is the integration of E-Scooter-sharing with existing transportation systems. Companies are partnering with public transportation providers to offer seamless connections between different modes of transport. This integration not only enhances the overall transportation experience for customers but also encourages the use of sustainable transportation options.

Local special circumstances: South Africa's urban areas are characterized by high levels of traffic congestion and limited parking spaces. This makes E-Scooter-sharing an attractive option for commuters as it allows them to bypass traffic and easily find parking. Additionally, the country's relatively mild climate and flat terrain make E-Scooters a practical mode of transportation for short-distance travel.

Underlying macroeconomic factors: The growth of the E-Scooter-sharing market in South Africa is also influenced by macroeconomic factors. The country has experienced rapid urbanization and population growth, leading to increased demand for transportation solutions. Additionally, rising fuel prices and concerns about air pollution have prompted individuals to seek alternative and more sustainable modes of transportation. The government's focus on promoting green initiatives and reducing carbon emissions further supports the development of the E-Scooter-sharing market. In conclusion, the E-Scooter-sharing market in South Africa is thriving due to customer preferences for convenience and affordability, as well as the expansion of services to suburban areas and integration with existing transportation systems. The local circumstances of traffic congestion and limited parking spaces, along with the underlying macroeconomic factors of urbanization and environmental concerns, contribute to the growth and development of the market.

Methodology

Data coverage:

The data encompasses B2C enterprises. Figures are based on bookings and revenues of e-scooter-sharing 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.