E-Scooter-sharing - Asia

  • Asia
  • Asia is projected to witness a significant growth in the E-Scooter-sharing market in the coming years.
  • By 2024, the projected revenue is expected to reach US$237.60m, with an annual growth rate (CAGR 2024-2029) of 7.84%, resulting in a market volume projection of US$346.60m by 2029.
  • Furthermore, the number of users is also expected to increase and reach 19.25m users by 2029, with a projected user penetration of 0.3% in 2024, which is expected to rise to 0.4% by 2029.
  • The average revenue per user (ARPU) is also expected to reach US$15.16.
  • In terms of revenue distribution, 100% of total revenue will be generated through online sales by 2029.
  • It is noteworthy that United States is projected to generate the highest revenue in the global comparison, with a projected revenue of US$730,200k in 2024.
  • In Taiwan, E-Scooter-sharing companies are thriving due to the government's support of sustainable transportation solutions.

Key regions: China, Germany, Thailand, Saudi Arabia, India

 
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Analyst Opinion

The E-Scooter-sharing market in Asia has been experiencing significant growth in recent years. This can be attributed to a combination of customer preferences, trends in the market, local special circumstances, and underlying macroeconomic factors.

Customer preferences:
In Asia, there is a growing demand for convenient and eco-friendly transportation options. E-Scooter-sharing services provide a solution to this demand by offering a convenient and sustainable mode of transportation. Customers appreciate the flexibility and ease of use that e-scooters provide, allowing them to navigate through congested urban areas more efficiently. Additionally, the affordability of e-scooter-sharing services appeals to cost-conscious consumers.

Trends in the market:
One of the key trends in the e-scooter-sharing market in Asia is the increasing adoption of electric vehicles. Governments and local authorities are promoting the use of electric vehicles as part of their efforts to reduce air pollution and carbon emissions. This trend has created a favorable environment for e-scooter-sharing companies, as they offer electric scooters that align with the sustainability goals of these initiatives. Another trend in the market is the integration of e-scooter-sharing services with existing transportation networks. Many cities in Asia have implemented smart city initiatives, which aim to improve the efficiency and sustainability of urban transportation. E-scooter-sharing companies have partnered with local governments and transportation authorities to integrate their services into existing public transportation systems, providing customers with seamless and multimodal transportation options.

Local special circumstances:
Various local special circumstances contribute to the growth of the e-scooter-sharing market in different countries in Asia. For example, densely populated cities with limited parking spaces and heavy traffic congestion create a need for alternative transportation options. E-scooter-sharing services offer a convenient solution for short-distance travel, allowing users to avoid traffic and find parking more easily. Additionally, the presence of a young and tech-savvy population in many Asian countries has contributed to the success of e-scooter-sharing services. The younger generation is more open to trying new technologies and embracing sustainable transportation options. This demographic trend has created a large customer base for e-scooter-sharing companies to tap into.

Underlying macroeconomic factors:
The economic growth and urbanization in Asia have played a significant role in the development of the e-scooter-sharing market. As more people move to cities and disposable incomes rise, the demand for convenient and affordable transportation options increases. E-scooter-sharing services provide a cost-effective alternative to traditional modes of transportation, making them attractive to a wide range of consumers. Furthermore, the supportive regulatory environment in many Asian countries has encouraged the growth of the e-scooter-sharing market. Governments have implemented policies and regulations that promote the use of electric vehicles and support the development of shared mobility services. This has created a favorable business environment for e-scooter-sharing companies to operate and expand their services. In conclusion, the growth of the e-scooter-sharing market in Asia can be attributed to customer preferences for convenient and eco-friendly transportation, trends in the market such as the adoption of electric vehicles and integration with existing transportation networks, local special circumstances like population density and demographics, and underlying macroeconomic factors including economic growth and supportive regulations. These factors have created a conducive environment for the development and expansion of e-scooter-sharing services in Asia.

Methodology

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.

Overview

  • Revenue
  • Sales Channels
  • Analyst Opinion
  • Users
  • Global Comparison
  • Methodology
  • Key Market Indicators
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