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Lun - Ven, 9:00 - 18:00 h (EST)
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Key regions: China, Germany, Thailand, Saudi Arabia, India
The E-Scooter-sharing market in Netherlands has been experiencing significant growth in recent years.
Customer preferences: One of the main reasons for the growth of the E-Scooter-sharing market in Netherlands is the increasing preference for eco-friendly transportation options. With growing concerns about air pollution and climate change, more and more people are looking for sustainable alternatives to traditional modes of transportation. E-Scooter-sharing services provide a convenient and environmentally friendly option for short-distance travel, which is appealing to a wide range of customers.
Trends in the market: The E-Scooter-sharing market in Netherlands is also being driven by the increasing popularity of shared mobility services. The rise of ride-hailing platforms and bike-sharing services has paved the way for the adoption of E-Scooter-sharing services. Customers are becoming more comfortable with the idea of sharing vehicles and are embracing the convenience and affordability that these services offer. This trend is expected to continue as more companies enter the market and expand their operations.
Local special circumstances: The Netherlands has a well-developed infrastructure and a strong cycling culture, which makes it an ideal market for E-Scooter-sharing services. The country has an extensive network of bike lanes and a flat landscape, which makes it easy for people to use E-Scooters for their daily commute or for leisure activities. The Dutch government has also been supportive of sustainable transportation initiatives, providing incentives and subsidies for electric vehicles, including E-Scooters. These factors have created a favorable environment for the growth of the E-Scooter-sharing market in Netherlands.
Underlying macroeconomic factors: The growth of the E-Scooter-sharing market in Netherlands is also influenced by macroeconomic factors such as urbanization and population density. As more people move to cities and urban areas become more congested, there is a growing demand for alternative modes of transportation that can help alleviate traffic congestion and reduce pollution. E-Scooter-sharing services offer a flexible and efficient solution to this problem, allowing users to easily navigate through crowded streets and reach their destinations quickly. Additionally, the relatively small size of the Netherlands and its dense population make it easier for E-Scooter-sharing companies to establish and expand their operations, compared to larger countries with more dispersed populations. In conclusion, the E-Scooter-sharing market in Netherlands is experiencing significant growth due to customer preferences for eco-friendly transportation options, the increasing popularity of shared mobility services, the country's well-developed infrastructure and cycling culture, and underlying macroeconomic factors such as urbanization and population density. These factors are likely to continue driving the growth of the market in the coming years.
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.Lun - Ven, 9:00 - 18:00 h (EST)
Lun - Ven, 9:00 - 18:00 h (EST)
Lun - Ven, 9:00 - 17:00 h (SGT)
Lun - Ven, 10:00 - 18:00 h (JST)
Lun - Ven, 9:00 - 18:00 h (GMT)
Lun - Ven, 9:00 - 18:00 h (EST)