Key regions: China, Germany, Thailand, Saudi Arabia, India
The E-Scooter-sharing market in South Korea 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 play a crucial role in the growth of the E-Scooter-sharing market in South Korea. The convenience and flexibility offered by e-scooters have attracted a large number of customers, especially in urban areas where traffic congestion is a major issue. With the increasing emphasis on sustainable transportation options, many customers are opting for e-scooters as an eco-friendly alternative to traditional modes of transportation. Additionally, the younger generation, who are more tech-savvy and open to new mobility solutions, are also driving the demand for e-scooter sharing services. Trends in the market have also contributed to the growth of the E-Scooter-sharing market in South Korea. The rise of the sharing economy has created a favorable environment for the expansion of e-scooter sharing services. Companies offering these services have been able to leverage technology to provide a seamless and efficient user experience. The integration of GPS and mobile apps has made it easier for customers to locate and unlock e-scooters, further enhancing the convenience factor. Moreover, the introduction of electric scooters has addressed concerns about noise pollution and emissions, making e-scooters a more attractive option for customers. Local special circumstances have played a role in shaping the E-Scooter-sharing market in South Korea. The country has a well-developed public transportation system, which has made it easier for e-scooter sharing companies to integrate their services into existing mobility networks. South Korea's compact urban areas and high population density have also contributed to the success of e-scooter sharing services, as they are particularly well-suited for short-distance trips within cities. Underlying macroeconomic factors have also influenced the growth of the E-Scooter-sharing market in South Korea. The country's strong economy and high smartphone penetration rate have created a conducive environment for the adoption of e-scooter sharing services. Furthermore, the government's support for sustainable transportation initiatives and the promotion of electric vehicles have provided a favorable regulatory framework for e-scooter sharing companies to operate in South Korea. In conclusion, the E-Scooter-sharing market in South Korea has experienced significant growth due to customer preferences, trends in the market, local special circumstances, and underlying macroeconomic factors. As the demand for sustainable and convenient transportation options continues to rise, the e-scooter sharing market is expected to further expand in South Korea.
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.
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