E-Scooter-sharing - Eastern Asia | Statista Market Forecast

The E-Scooter-sharing market in Eastern Asia is poised to see a significant rise in revenue, with projections indicating that it will reach US$144.20m by 2024.
Furthermore, the market is expected to experience an impressive Compound Annual Growth Rate (CAGR) of 4.62% from 2024 to 2029, resulting in a projected market volume of US$180.70m by 2029.
This growth will be driven by an estimated 10.02m users users of the E-Scooter-sharing market services expected to be present in the region by 2029.
The user penetration rate is projected to rise from 0.6% in 2024 to 0.6% by 2029.
The Average Revenue Per User (ARPU) is also expected to be high, with a projected value of US$15.92.
It is worth noting that in the E-Scooter-sharing market, 100% of total revenue will be generated through online sales by 2029.
In global comparison, United States is expected to generate the most revenue, with a projected revenue of US$730m by 2024.
In Japan, E-Scooter-sharing companies are partnering with local governments to provide safe and convenient transportation options for commuters.

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 Eastern Asia has been experiencing significant growth in recent years. Customer preferences for convenient and eco-friendly transportation options, coupled with the region's unique market dynamics, have contributed to this trend.

Customer preferences: In Eastern Asia, customers have shown a strong preference for efficient and sustainable modes of transportation. E-Scooter-sharing services offer a convenient and environmentally friendly alternative to traditional transportation options such as cars or public transportation. The ease of access and flexibility provided by E-Scooter-sharing platforms have resonated well with customers in the region, particularly in densely populated urban areas where traffic congestion is a common issue.

Trends in the market: One of the key trends in the E-Scooter-sharing market in Eastern Asia is the rapid expansion of service providers. Both local startups and international companies have entered the market, leading to increased competition and innovation. This has resulted in the introduction of new features and technologies, such as longer battery life, improved safety measures, and enhanced user interfaces. Additionally, there has been a shift towards dockless E-Scooter-sharing models, allowing users to easily locate and unlock scooters using mobile applications.

Local special circumstances: Eastern Asia has unique characteristics that contribute to the growth of the E-Scooter-sharing market. The region is known for its highly urbanized cities with dense populations, making it an ideal market for convenient transportation solutions. Additionally, the prevalence of smartphone usage and advanced mobile payment systems in countries like China and South Korea has facilitated the adoption and usage of E-Scooter-sharing services. The popularity of E-Scooter-sharing has also been driven by the cultural preference for two-wheeled transportation options in countries like Japan and Taiwan.

Underlying macroeconomic factors: The E-Scooter-sharing market in Eastern Asia is also influenced by underlying macroeconomic factors. The region has experienced rapid economic growth, leading to an increase in disposable income levels. As a result, consumers are more willing to spend on convenient and efficient transportation options. Additionally, governments in the region have been supportive of sustainable transportation initiatives and have implemented policies and regulations to encourage the adoption of E-Scooter-sharing services. These factors have created a favorable environment for the growth of the market in Eastern Asia.

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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