E-Scooter-sharing - ASEAN | Statista Market Forecast

The E-Scooter-sharing market in ASEAN is set to achieve a revenue of US$22.10m by 2024, with an annual growth rate of 5.15% (CAGR 2024-2029), resulting in a projected market volume of US$28.42m by 2029.
As for the number of users, it is expected to reach 1.91m users by 2029, with user penetration projected to increase from 0.2% in 2024 to 0.3% by 2029.
The average revenue per user (ARPU) is projected to be US$13.74.
It is expected that by 2029, 100% of total revenue in the E-Scooter-sharing market will be generated through online sales.
In comparison to the rest of the world, United States will generate the most revenue, with a predicted revenue of US$730m in 2024.
In Singapore, the E-Scooter-sharing market is seeing a surge in demand due to 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 ASEAN is experiencing rapid growth and development.

Customer preferences: Customers in ASEAN countries are increasingly turning to e-scooter sharing services due to their convenience, affordability, and eco-friendly nature. E-scooters provide a flexible and efficient mode of transportation, particularly for short distances or in congested urban areas. Additionally, the younger generation is embracing the trend of using e-scooters as a fun and trendy alternative to traditional modes of transportation.

Trends in the market: One major trend in the ASEAN e-scooter-sharing market is the expansion of service providers. Numerous local and international companies are entering the market, resulting in increased competition. This competition is driving innovation and improvements in service quality, such as the introduction of user-friendly mobile applications and the integration of GPS technology for easy locating and unlocking of e-scooters. Another trend is the integration of e-scooter-sharing services with existing transportation networks. Many cities in ASEAN are implementing smart city initiatives, and e-scooter sharing is seen as a key component of these plans. By integrating e-scooter sharing with public transportation systems, cities are aiming to provide a seamless and sustainable transportation solution for their residents.

Local special circumstances: Each ASEAN country has its own unique circumstances that are influencing the development of the e-scooter-sharing market. For example, in Singapore, the government has implemented strict regulations and licensing requirements for e-scooter-sharing operators to ensure safety and minimize potential risks. On the other hand, in countries like Indonesia and Vietnam, where traffic congestion is a major issue, e-scooter sharing is seen as a viable solution to reduce traffic and improve mobility.

Underlying macroeconomic factors: The rapid growth of the e-scooter-sharing market in ASEAN can be attributed to several macroeconomic factors. Firstly, the region has experienced significant economic growth in recent years, leading to an increase in disposable income and urbanization. This has created a larger customer base for e-scooter-sharing services. Furthermore, the increasing awareness and concern for environmental sustainability in ASEAN countries have also played a role in the growth of the e-scooter-sharing market. E-scooters are seen as a greener alternative to traditional modes of transportation, aligning with the region's commitment to reducing carbon emissions and promoting sustainable development. In conclusion, the e-scooter-sharing market in ASEAN is experiencing rapid growth and development due to customer preferences for convenience and affordability, as well as the integration of e-scooter-sharing services with existing transportation networks. Local special circumstances and underlying macroeconomic factors also contribute to the growth of the market. As the market continues to evolve, it is expected that more innovations and improvements will be introduced to meet the changing needs and preferences of customers in ASEAN countries.

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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