E-Scooter-sharing - Uzbekistan | Statista Market Forecast

Revenue in the E-Scooter-sharing market in Uzbekistan is forecasted to reach US$246.50k in 2024.
The revenue is anticipated to demonstrate an annual growth rate (CAGR 2024-2029) of 16.39%, leading to a projected market volume of US$526.60k by 2029.
Within the E-Scooter-sharing market market in Uzbekistan, the number of users is projected to reach 26.75k users by 2029.
User penetration is expected to be 0.0% in 2024 and 0.1% by 2029.
The average revenue per user (ARPU) is forecasted to be US$14.94.
By 2029, 100% of the total revenue in the E-Scooter-sharing market market in Uzbekistan will be generated through online sales.
When compared globally, the United States is expected to generate the most revenue (US$730m in 2024).
The E-Scooter-sharing market in Uzbekistan is rapidly growing, with increasing demand for convenient and eco-friendly urban transportation solutions.

Definition:

The E-Scooter-sharing market comprises e-scooter-sharing services that provide short-term rentals of electric motorized scooters (stand-up scooters). In e-scooter-sharing, scooters are generally owned by an e-scooter-sharing provider and can be reserved independently by customers around the clock. Customers are required to open an account with the e-scooter-sharing provider and can then reserve the vehicles, typically with a smartphone app. Providers normally offer dockless services, so it is possible to find e-scooters everywhere within the provider’s business zone, e.g., on sidewalks, and to leave the scooters anywhere in accordance with traffic regulations. Moped-sharing services are not available in all countries; thus, only a limited number of countries and regions can be selected.

Additional Information:

The main performance indicators of the E-Scooter-sharing market are revenues, average revenue per user (ARPU), user numbers and user penetration rates. Additionally, online and offline sales channel shares display the distribution of online and offline bookings. The ARPU refers to the average revenue one user generates per year while the revenue represents the total booking volume. Revenues are generated through both online and offline sales channels and include exclusively B2C revenues and users for the mentioned market. User numbers show only those individuals who have made a reservation, independent of the number of travelers on the booking. Each user is only counted once per year.

The booking volume includes all booked rides made by users from the selected region, regardless of where the ride took place.

For further information on the data displayed, refer to the info button right next to each box.

Free-floating e-scooter-sharing services
Services such as Lime, Tier, Bird, and Movo

Private e-scooter usage
Multi-day e-scooter rentals
Peer-to-peer e-scooter reservations
Bike sharing and other forms of micro-mobility

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.

This report presents a comprehensive analysis and additional information on the Mobility market, in a PDF format.