Key regions: China, Germany, Thailand, Saudi Arabia, India
The E-Scooter-sharing market in Taiwan is experiencing significant growth and development, driven by several key factors.
Customer preferences: Customers in Taiwan are increasingly looking for convenient, cost-effective, and environmentally friendly modes of transportation. E-scooter sharing services provide a solution that meets these preferences, allowing users to easily navigate through congested urban areas and reach their destinations quickly. Additionally, the younger generation, who are more tech-savvy and environmentally conscious, are particularly drawn to the convenience and sustainability of e-scooter sharing.
Trends in the market: One of the key trends in the e-scooter-sharing market in Taiwan is the rapid expansion of service providers. Numerous companies have entered the market, offering a wide range of e-scooter models and service options. This increased competition has led to improved service quality, lower prices, and more convenient access to e-scooters for customers. Furthermore, many service providers have integrated their e-scooter sharing platforms with mobile apps, making it even easier for customers to locate and unlock e-scooters. Another trend in the market is the integration of e-scooter sharing services with public transportation systems. This integration allows customers to seamlessly switch between different modes of transportation, such as buses, trains, and e-scooters, providing a more comprehensive and efficient travel experience. This integration is particularly beneficial in Taiwan, where public transportation is highly developed and widely used.
Local special circumstances: Taiwan's compact size and dense population make it an ideal market for e-scooter sharing. The country's cities are characterized by narrow streets and limited parking spaces, making traditional car ownership less practical. E-scooters, on the other hand, are small, agile, and easily maneuverable, making them well-suited for navigating through congested urban areas. Additionally, Taiwan's warm climate and relatively flat terrain make e-scooters a comfortable and efficient mode of transportation.
Underlying macroeconomic factors: Taiwan has a strong and growing economy, which has contributed to the development of the e-scooter-sharing market. The country has a high level of disposable income, allowing more people to afford the cost of using e-scooter sharing services. Additionally, Taiwan has a well-developed infrastructure, including a reliable electricity grid and widespread internet connectivity, which are essential for the operation of e-scooter sharing services. Furthermore, the Taiwanese government has been supportive of the e-scooter-sharing industry, implementing policies and regulations to promote its growth and sustainability.
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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