Key regions: China, Germany, Thailand, Saudi Arabia, India
The E-Scooter-sharing market in Central & Western Europe is experiencing significant growth and development.
Customer preferences: Customers in Central & Western Europe are increasingly opting for E-Scooter-sharing services due to their convenience, affordability, and environmental benefits. E-Scooters provide a flexible mode of transportation, allowing users to easily navigate through congested city streets and reach their destinations quickly. Additionally, the cost of using E-Scooters is often lower than traditional transportation options, making them an attractive choice for budget-conscious individuals. Furthermore, the growing awareness and concern for the environment have led to an increased demand for sustainable transportation solutions, with E-Scooters being seen as a greener alternative to cars and motorcycles.
Trends in the market: One of the key trends in the E-Scooter-sharing market in Central & Western Europe is the expansion of service providers. Numerous companies have entered the market, offering their own E-Scooter-sharing services to meet the growing demand. This increased competition has led to improved service quality, lower prices, and a wider availability of E-Scooters in major cities across the region. Another trend is the integration of E-Scooter-sharing services with existing transportation networks. Many cities have implemented initiatives to incorporate E-Scooters into their public transportation systems, allowing users to seamlessly switch between different modes of transportation.
Local special circumstances: The development of the E-Scooter-sharing market in Central & Western Europe is also influenced by local special circumstances. The region's well-developed infrastructure, including bike lanes and designated paths for alternative transportation, makes it easier for E-Scooter riders to navigate through cities safely. Additionally, the compact nature of many European cities, with their narrow streets and limited parking spaces, makes E-Scooters a practical choice for short-distance travel.
Underlying macroeconomic factors: Several macroeconomic factors contribute to the growth of the E-Scooter-sharing market in Central & Western Europe. The region's strong economy and high disposable income levels allow individuals to afford the cost of using E-Scooter-sharing services. Furthermore, the increasing urbanization in Central & Western Europe has led to a higher demand for efficient and sustainable transportation options, driving the adoption of E-Scooters. Additionally, government support and favorable regulations play a significant role in the development of the market, with many countries implementing policies to encourage the use of E-Scooters and promote their integration into existing transportation systems. In conclusion, the E-Scooter-sharing market in Central & Western Europe is experiencing significant growth and development due to customer preferences for convenience, affordability, and sustainability. The expansion of service providers, integration with existing transportation networks, well-developed infrastructure, strong economy, and government support are all contributing factors to the market's success. As the market continues to evolve, it is expected to become an integral part of the transportation landscape in Central & Western Europe.
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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