Key regions: Germany, Europe, India, Indonesia, United States
The Moped-sharing market in ASEAN is experiencing rapid growth and development.
Customer preferences: Customers in ASEAN countries are increasingly turning to moped-sharing services as a convenient and affordable mode of transportation. The popularity of these services can be attributed to several factors. Firstly, the high population density in many ASEAN cities makes it challenging for individuals to own and park their own vehicles. Moped-sharing services provide a flexible alternative that allows users to easily navigate through traffic and find parking spaces. Secondly, the relatively low cost of moped-sharing compared to traditional transportation options such as taxis or ride-hailing services makes it an attractive choice for budget-conscious customers. Additionally, the ease of use and accessibility of moped-sharing platforms through mobile applications has also contributed to their popularity among tech-savvy customers.
Trends in the market: One of the key trends in the Moped-sharing market in ASEAN is the increasing number of players entering the market. Both local and international companies are recognizing the potential of the market and are launching their own moped-sharing services. This has led to intense competition, with companies offering attractive promotions and discounts to attract customers. Another trend is the expansion of moped-sharing services beyond major cities. As the market matures, companies are expanding their operations to secondary cities and even rural areas, tapping into previously untapped customer segments. This expansion is supported by the improving infrastructure and connectivity in these areas.
Local special circumstances: Each ASEAN country has its own unique set of circumstances that influence the development of the moped-sharing market. For example, in countries like Indonesia and Vietnam where motorcycles are a popular mode of transportation, the market for moped-sharing services is already well-established. In these countries, the challenge lies in managing the high demand and ensuring the availability of sufficient fleet sizes. On the other hand, in countries like Singapore where private vehicle ownership is relatively low, moped-sharing services provide an alternative to public transportation for short-distance travel. In these countries, the challenge lies in building awareness and changing consumer behavior towards adopting moped-sharing services.
Underlying macroeconomic factors: The growth of the moped-sharing market in ASEAN is also influenced by underlying macroeconomic factors. Rising urbanization and a growing middle class in the region have led to increased demand for efficient and affordable transportation options. Additionally, the increasing penetration of smartphones and internet connectivity has made it easier for customers to access and use moped-sharing services. The supportive regulatory environment in many ASEAN countries, with governments recognizing the benefits of shared mobility and implementing policies to encourage its growth, has also played a role in the development of the market. In conclusion, the Moped-sharing market in ASEAN is experiencing significant growth and development due to customer preferences for convenient and affordable transportation options, the increasing number of players entering the market, local special circumstances in each country, and underlying macroeconomic factors such as urbanization and supportive regulatory environments. As the market continues to evolve, it is expected that moped-sharing services will become even more widespread and accessible to customers across the ASEAN region.
Data coverage:
The data encompasses B2C enterprises. Figures are based on bookings and revenues of moped-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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