Key regions: China, Germany, Thailand, Saudi Arabia, India
The E-Scooter-sharing market in Uzbekistan is experiencing a rapid growth in recent years.
Customer preferences: Customers in Uzbekistan are increasingly drawn to the convenience and eco-friendly nature of E-Scooter-sharing services. The younger population, in particular, values the flexibility and cost-effectiveness of using E-Scooters for short commutes or leisurely rides.
Trends in the market: One notable trend in the Uzbekistan E-Scooter-sharing market is the expansion of services to cover more cities and urban areas. This trend is driven by the increasing demand for alternative modes of transportation as well as the government's push towards sustainable mobility solutions. Additionally, collaborations between E-Scooter-sharing companies and local businesses are on the rise, providing users with added benefits and incentives to use these services.
Local special circumstances: Uzbekistan's unique urban landscape, characterized by historic sites and narrow streets, presents both opportunities and challenges for E-Scooter-sharing companies. The compact nature of cities like Tashkent and Samarkand makes E-Scooters an attractive option for navigating through traffic and reaching popular tourist destinations. However, the need to balance modern infrastructure with preserving the cultural heritage of these cities requires E-Scooter-sharing companies to navigate regulations and restrictions carefully.
Underlying macroeconomic factors: The growing middle class in Uzbekistan, coupled with increasing smartphone penetration, is a key macroeconomic factor driving the expansion of the E-Scooter-sharing market. As disposable incomes rise and digital connectivity improves, more individuals are turning to shared mobility services like E-Scooter-sharing as a convenient and affordable transportation option. Additionally, government initiatives aimed at reducing air pollution and congestion in urban areas are creating a favorable environment for the growth of E-Scooter-sharing services in Uzbekistan.
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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