Key regions: China, Germany, Thailand, Saudi Arabia, India
The E-Scooter-sharing market in Southeast Asia has seen significant growth in recent years, driven by customer preferences for convenient and eco-friendly transportation options. With the increasing urbanization and traffic congestion in the region, consumers are turning to e-scooter-sharing services as a convenient and efficient way to navigate crowded cities.
Customer preferences: Customers in Southeast Asia are increasingly opting for e-scooter-sharing services due to their affordability and convenience. E-scooters provide a cost-effective mode of transportation, particularly for short distances, and are often cheaper than traditional taxi or ride-hailing services. Additionally, the ease of access and flexibility offered by e-scooter-sharing platforms, which allow users to pick up and drop off scooters at various locations, appeals to busy urban dwellers.
Trends in the market: The e-scooter-sharing market in Southeast Asia has witnessed several key trends. Firstly, there has been a proliferation of local and international e-scooter-sharing companies entering the market, leading to increased competition. This has resulted in improved service quality, lower prices, and expanded coverage areas, benefiting consumers. Secondly, there is a growing trend towards the integration of e-scooter-sharing services with existing transportation networks. Many cities in Southeast Asia have started to incorporate e-scooters into their public transportation systems, allowing users to seamlessly switch between different modes of transportation. This integration not only enhances the convenience for users but also promotes the adoption of sustainable transportation options.
Local special circumstances: The unique characteristics of each country in Southeast Asia also contribute to the development of the e-scooter-sharing market. For example, in densely populated cities like Singapore and Jakarta, where traffic congestion is a major issue, e-scooter-sharing services offer a practical solution to the last-mile transportation problem. On the other hand, in tourist destinations such as Bali and Phuket, e-scooter-sharing services cater to the needs of both locals and tourists, providing a convenient and fun way to explore the area.
Underlying macroeconomic factors: Several macroeconomic factors have contributed to the growth of the e-scooter-sharing market in Southeast Asia. The region's rapid urbanization and increasing disposable income levels have created a large pool of potential customers for e-scooter-sharing services. Moreover, the rising awareness of environmental issues and the desire to reduce carbon emissions have driven the demand for sustainable transportation options, such as e-scooters. In conclusion, the e-scooter-sharing market in Southeast Asia is experiencing significant growth due to customer preferences for affordable and convenient transportation options. The integration of e-scooter-sharing services with existing transportation networks and the unique characteristics of each country in the region further contribute to the market's development. Additionally, underlying macroeconomic factors such as rapid urbanization and increasing environmental awareness have fueled the demand for e-scooter-sharing services.
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.
Mon - Fri, 9am - 6pm (EST)
Mon - Fri, 9am - 5pm (SGT)
Mon - Fri, 10:00am - 6:00pm (JST)
Mon - Fri, 9:30am - 5pm (GMT)
Mon - Fri, 9am - 6pm (EST)
