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Key regions: China, Germany, Thailand, Saudi Arabia, India
The E-Scooter-sharing market in Moldova is experiencing rapid growth and development.
Customer preferences: Customers in Moldova are increasingly favoring the convenience and affordability of e-scooter-sharing services. With the rise of urbanization and population density in major cities, people are looking for alternative modes of transportation that are efficient and eco-friendly. E-scooters provide a convenient way to navigate through traffic and reach their destinations quickly. Additionally, the low cost of renting an e-scooter makes it an attractive option for many residents and visitors.
Trends in the market: One key trend in the e-scooter-sharing market in Moldova is the expansion of service providers. As the demand for e-scooters increases, more companies are entering the market to meet the growing needs of customers. This has led to increased competition and innovation in the industry, with companies offering different features and pricing options to attract customers. Another trend is the integration of e-scooter-sharing services with existing transportation systems. Many cities in Moldova are working towards creating a seamless and interconnected transportation network, where e-scooters can be easily accessed and used in conjunction with other modes of transportation such as buses and trains. This integration not only enhances the overall transportation experience for customers but also promotes sustainable mobility solutions.
Local special circumstances: Moldova's compact size and relatively flat terrain make it an ideal environment for e-scooter-sharing services. The country's cities are well-suited for e-scooter usage, with a dense population and a network of roads and bike lanes. This makes it easy for e-scooter users to navigate through the city and reach their destinations efficiently. Furthermore, the government of Moldova has shown support for the development of e-scooter-sharing services. They recognize the potential of e-scooters in reducing traffic congestion and air pollution, and have implemented policies and regulations to promote their use. This includes the creation of dedicated parking spaces for e-scooters and the implementation of safety guidelines for riders.
Underlying macroeconomic factors: The growing e-scooter-sharing market in Moldova is also influenced by macroeconomic factors. The country's economy has been steadily growing, leading to an increase in disposable income and spending power among consumers. This allows more people to afford the cost of renting e-scooters, contributing to the demand for these services. In addition, the rise of tourism in Moldova has also played a role in the development of the e-scooter-sharing market. As more tourists visit the country, there is a higher demand for convenient and flexible transportation options. E-scooters provide tourists with an easy and fun way to explore the cities and attractions of Moldova. Overall, the e-scooter-sharing market in Moldova is experiencing significant growth due to customer preferences for convenience and affordability, as well as the integration of e-scooters with existing transportation systems. The local special circumstances, such as the country's size and terrain, further contribute to the market's development. Additionally, underlying macroeconomic factors, such as the growing economy and the rise of tourism, are driving the demand for e-scooter-sharing services in Moldova.
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)