Key regions: China, Germany, Thailand, Saudi Arabia, India
The E-Scooter-sharing market in Vietnam has witnessed significant growth in recent years, driven by changing customer preferences and local special circumstances.
Customer preferences: Vietnamese customers have shown a growing preference for convenient and eco-friendly transportation options. E-Scooter-sharing provides a cost-effective and efficient way for people to navigate through congested city streets, especially in urban areas where traffic can be a major issue. The ease of access and flexibility offered by E-Scooter-sharing services have made them popular among young professionals and students who value convenience and affordability.
Trends in the market: One of the key trends in the E-Scooter-sharing market in Vietnam is the increasing number of market players. Both local and international companies have entered the market, leading to intense competition. This has resulted in improved service quality, lower prices, and greater availability of E-Scooters for customers to choose from. Additionally, there has been a shift towards dockless E-Scooter-sharing systems, where users can pick up and drop off scooters anywhere within designated areas, providing even more convenience to customers. Another trend is the integration of E-Scooter-sharing services with ride-hailing platforms. This allows customers to access E-Scooters through the same app they use for other transportation services, making it more convenient and seamless for users. This integration has further boosted the popularity of E-Scooter-sharing in Vietnam.
Local special circumstances: Vietnam's rapidly growing urban population, especially in cities like Ho Chi Minh City and Hanoi, has contributed to the increased demand for alternative transportation options. The limited availability of parking spaces and the high cost of car ownership make E-Scooter-sharing an attractive option for many residents. Additionally, the compact size of E-Scooters makes them well-suited for navigating through narrow streets and congested areas, which are common in Vietnamese cities.
Underlying macroeconomic factors: Vietnam's strong economic growth and rising disposable incomes have also played a role in the development of the E-Scooter-sharing market. As more people have the means to afford personal transportation, they are looking for cost-effective and convenient options. E-Scooter-sharing provides an affordable alternative to car ownership or traditional taxi services. Furthermore, the Vietnamese government has been supportive of the development of the E-Scooter-sharing market. They recognize the potential of these services to reduce traffic congestion and air pollution, and have implemented policies to encourage their growth. This includes the establishment of regulations and guidelines to ensure the safety and sustainability of E-Scooter-sharing operations. In conclusion, the E-Scooter-sharing market in Vietnam is experiencing rapid growth due to changing customer preferences, local special circumstances, and supportive macroeconomic factors. The convenience, affordability, and eco-friendliness of E-Scooter-sharing services have made them a popular choice among Vietnamese customers, especially in urban areas. With the increasing number of market players and integration with ride-hailing platforms, the E-Scooter-sharing market in Vietnam is expected to continue its upward trajectory in the coming years.
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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