E-Scooter-sharing - Taiwan | Statista Market Forecast

Taiwan is projected to see a revenue of US$4.22m in the E-Scooter-sharing market by 2024.
The revenue is expected to grow annually at a rate of 2.71% from 2024 to 2029, resulting in a projected market volume of US$4.82m by 2029.
The number of users in the E-Scooter-sharing market is also expected to grow to 308.20k users by 2029.
The user penetration rate is projected to be 1.2% in 2024 and 1.3% by 2029.
The average revenue per user (ARPU) is expected to be US$14.54.
It is also expected that by 2029, 100% of the total revenue in the E-Scooter-sharing market will be generated through online sales.
In comparison to other countries, United States will generate the most revenue, with a projected revenue of US$730m in 2024.
Taiwan is seeing a surge in demand for E-Scooter-sharing due to heavy traffic and the government's push for sustainable transportation options.

Definition:

The E-Scooter-sharing market comprises e-scooter-sharing services that provide short-term rentals of electric motorized scooters (stand-up scooters). In e-scooter-sharing, scooters are generally owned by an e-scooter-sharing provider and can be reserved independently by customers around the clock. Customers are required to open an account with the e-scooter-sharing provider and can then reserve the vehicles, typically with a smartphone app. Providers normally offer dockless services, so it is possible to find e-scooters everywhere within the provider’s business zone, e.g., on sidewalks, and to leave the scooters anywhere in accordance with traffic regulations. Moped-sharing services are not available in all countries; thus, only a limited number of countries and regions can be selected.

Additional Information:

The main performance indicators of the E-Scooter-sharing market are revenues, average revenue per user (ARPU), user numbers and user penetration rates. Additionally, online and offline sales channel shares display the distribution of online and offline bookings. The ARPU refers to the average revenue one user generates per year while the revenue represents the total booking volume. Revenues are generated through both online and offline sales channels and include exclusively B2C revenues and users for the mentioned market. User numbers show only those individuals who have made a reservation, independent of the number of travelers on the booking. Each user is only counted once per year.

The booking volume includes all booked rides made by users from the selected region, regardless of where the ride took place.

For further information on the data displayed, refer to the info button right next to each box.

Free-floating e-scooter-sharing services
Services such as Lime, Tier, Bird, and Movo

Private e-scooter usage
Multi-day e-scooter rentals
Peer-to-peer e-scooter reservations
Bike sharing and other forms of micro-mobility

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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