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Key regions: China, Germany, Thailand, Saudi Arabia, India
The E-Scooter-sharing market in Southern Africa has been experiencing significant growth in recent years. Customer preferences, trends in the market, local special circumstances, and underlying macroeconomic factors have all contributed to the development of this market. Customer preferences in Southern Africa have played a key role in driving the growth of the E-Scooter-sharing market. With increasing urbanization and traffic congestion in major cities, customers are looking for convenient and eco-friendly transportation options. E-Scooter-sharing provides a solution to these challenges by offering a flexible and sustainable mode of transportation. Additionally, the affordability of E-Scooter-sharing services appeals to a wide range of customers, including students, young professionals, and tourists. Trends in the market have also contributed to the growth of E-Scooter-sharing in Southern Africa. The rise of smartphone usage and the availability of mobile applications have made it easier for customers to access and use E-Scooter-sharing services. This has led to an increase in the number of users and the overall demand for E-Scooter-sharing in the region. Furthermore, the integration of E-Scooter-sharing with existing transportation systems, such as buses and trains, has made it more convenient for customers to use these services for their daily commute. Local special circumstances have also played a role in the development of the E-Scooter-sharing market in Southern Africa. The region is known for its warm climate, which makes it ideal for outdoor activities such as riding scooters. Additionally, the availability of wide and well-maintained sidewalks and bike lanes in some cities has made it safer and more convenient for customers to use E-Scooter-sharing services. These factors have contributed to the popularity of E-Scooter-sharing as a mode of transportation in the region. Underlying macroeconomic factors have also influenced the growth of the E-Scooter-sharing market in Southern Africa. The region has experienced rapid economic growth in recent years, leading to an increase in disposable income and purchasing power. This has made E-Scooter-sharing more affordable and accessible to a larger segment of the population. Furthermore, government initiatives to promote sustainable transportation and reduce carbon emissions have created a favorable regulatory environment for E-Scooter-sharing companies to operate. In conclusion, the E-Scooter-sharing market in Southern Africa is developing rapidly due to customer preferences, trends in the market, local special circumstances, and underlying macroeconomic factors. The convenience, affordability, and sustainability of E-Scooter-sharing services have made them a popular choice for customers in the region. As the market continues to grow, it is expected to contribute to the overall improvement of transportation systems and the reduction of traffic congestion and carbon emissions in Southern Africa.
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.Mon - Fri, 9am - 6pm (EST)
Mon - Fri, 9am - 5pm (SGT)
Mon - Fri, 10:00am - 6:00pm (JST)
Mon - Fri, 9:30am - 5pm (GMT)
Mon - Fri, 9am - 6pm (EST)