Key regions: China, Germany, Thailand, Saudi Arabia, India
The E-Scooter-sharing market in Azerbaijan has been experiencing significant growth in recent years, driven by a combination of customer preferences, market trends, local special circumstances, and underlying macroeconomic factors. Customer preferences in Azerbaijan have played a crucial role in the development of the E-Scooter-sharing market. With increasing urbanization and traffic congestion in major cities, customers are seeking alternative modes of transportation that are convenient, cost-effective, and environmentally friendly. E-Scooter-sharing services provide a flexible and efficient solution for short-distance travel, allowing customers to easily navigate through crowded streets and reach their destinations quickly. Trends in the market have also contributed to the growth of E-Scooter-sharing in Azerbaijan. The rise of smartphone usage and the availability of mobile applications have made it easier for customers to access and use E-Scooter-sharing services. The convenience of booking, unlocking, and paying for E-Scooters through mobile apps has attracted a large number of customers, especially among the younger generation who are more tech-savvy. Local special circumstances have further fueled the development of the E-Scooter-sharing market in Azerbaijan. The country has a relatively young population with a high percentage of tech-savvy individuals who are open to adopting new technologies. This demographic factor has created a favorable environment for the growth of E-Scooter-sharing services. Additionally, the compact size of major cities in Azerbaijan makes them ideal for E-Scooter-sharing, as customers can easily navigate through the city streets and reach their destinations quickly. Underlying macroeconomic factors have also played a role in the development of the E-Scooter-sharing market in Azerbaijan. The government has been actively promoting sustainable transportation solutions and investing in infrastructure development. This has created a supportive regulatory environment for E-Scooter-sharing companies to operate and expand their services. Furthermore, the increasing disposable income and changing lifestyles of the population have made E-Scooter-sharing an attractive option for customers looking for affordable and convenient transportation. In conclusion, the E-Scooter-sharing market in Azerbaijan is experiencing significant growth due to customer preferences for convenient and environmentally friendly transportation options, market trends driven by smartphone usage and mobile applications, local special circumstances such as a young and tech-savvy population, and underlying macroeconomic factors including government support and increasing disposable income. As these factors continue to evolve, the E-Scooter-sharing market in Azerbaijan is expected to further expand and diversify 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.
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)
