E-Scooter-sharing - Kazakhstan | Statista Market Forecast

Kazakhstan is expected to witness a significant surge in the E-Scooter-sharing market in the coming years.
The projected revenue for this market is estimated to reach US$110.70k by 2024, with an annual growth rate of 10.24% (CAGR 2024-2029), resulting in a projected market volume of US$180.30k by 2029.
By 2029, the number of users in this market is anticipated to reach 16.50k users.
The user penetration rate is expected to increase from 0.1% in 2024 to 0.1% by 2029.
The average revenue per user (ARPU) is forecasted to be US$9.08.
It is projected that 100% of the total revenue will be generated through online sales by 2029.
In comparison to other countries, United States is expected to generate the most revenue in this market, with an estimated revenue of US$730m in 2024.
Kazakhstan's nascent E-Scooter-sharing market is gaining traction among urban commuters seeking affordable and eco-friendly transportation alternatives.

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 Kazakhstan has been experiencing significant growth in recent years. Customer preferences, trends in the market, local special circumstances, and underlying macroeconomic factors have all contributed to the development of this market.

Customer preferences: Kazakhstan's population has shown a growing interest in alternative modes of transportation, particularly in urban areas. E-Scooter-sharing provides a convenient and environmentally friendly option for short-distance travel, attracting a wide range of customers. Younger generations, in particular, have embraced this trend, valuing the flexibility and affordability that E-Scooter-sharing services offer.

Trends in the market: The E-Scooter-sharing market in Kazakhstan has witnessed the entry of several international and local players, leading to increased competition. This competition has driven innovation and improvements in the quality of service, such as the introduction of more durable and efficient scooters, enhanced mobile applications, and improved customer support. Additionally, partnerships with local businesses and municipalities have helped expand the reach of E-Scooter-sharing services, making them more accessible to a larger population.

Local special circumstances: Kazakhstan's urban areas, especially the major cities like Nur-Sultan and Almaty, face challenges related to traffic congestion and limited parking spaces. E-Scooter-sharing services offer a solution to these issues by providing a convenient mode of transportation that can navigate through congested streets and be easily parked. The compact size of e-scooters makes them ideal for navigating narrow streets and crowded areas, making them a popular choice for short-distance trips.

Underlying macroeconomic factors: Kazakhstan's growing economy and increasing urbanization have contributed to the development of the E-Scooter-sharing market. As more people move to urban areas for employment and education opportunities, the demand for efficient and cost-effective transportation options has risen. Additionally, the government's focus on sustainable development and reducing carbon emissions has created a favorable environment for the growth of E-Scooter-sharing services. In conclusion, the E-Scooter-sharing market in Kazakhstan is experiencing significant growth due to customer preferences for alternative transportation, market trends driving competition and innovation, local circumstances such as traffic congestion and limited parking spaces, and underlying macroeconomic factors such as urbanization and government policies promoting sustainable development. As the market continues to evolve, it is expected that further advancements and expansion will take place, providing commuters with more convenient and environmentally friendly transportation options.

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.