E-Scooter-sharing - Armenia | Statista Market Forecast

Armenia's revenue in the E-Scooter-sharing market is forecasted to reach US$73.53k in 2024.
The revenue is anticipated to demonstrate an annual growth rate (CAGR 2024-2029) of 10.52%, leading to a projected market volume of US$121.20k by 2029.
The country is expected to have 6.92k users users in the E-Scooter-sharing market market by 2029.
User penetration is estimated to be 0.2% in 2024 and 0.3% by 2029.
The average revenue per user (ARPU) is projected to be US$14.08.
Armenia is set to generate 100% of total revenue through online sales by 2029.
When compared globally, the United States will generate the highest revenue (US$730m in 2024) in the E-Scooter-sharing market market.
Armenia witnesses a surge in E-Scooter-sharing services, reflecting a growing trend towards sustainable and convenient urban mobility solutions in the country.

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.

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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

Armenia has seen a significant rise in the E-Scooter-sharing market, driven by various factors influencing consumer behavior and market dynamics.

Customer preferences: Consumers in Armenia are increasingly opting for E-Scooter-sharing services due to their convenience, affordability, and environmental benefits. The younger demographic, in particular, values the flexibility and ease of access that E-Scooter-sharing provides. Additionally, the desire for sustainable transportation options plays a key role in shaping customer preferences in the market.

Trends in the market: One notable trend in the Armenian E-Scooter-sharing market is the growing competition among service providers. This competition has led to innovations in technology, pricing strategies, and service quality as companies strive to capture a larger market share. Moreover, partnerships with local businesses and transportation hubs have become common, enhancing the accessibility and visibility of E-Scooter-sharing services in urban areas.

Local special circumstances: Armenia's unique geographical landscape, characterized by hilly terrain and narrow streets in some urban areas, presents both challenges and opportunities for E-Scooter-sharing companies. While these factors may limit the expansion of services to certain regions, they also create niche markets where E-Scooter-sharing can offer a convenient solution for short-distance travel.

Underlying macroeconomic factors: The macroeconomic environment in Armenia, including factors such as disposable income levels, employment rates, and government regulations, significantly influences the growth of the E-Scooter-sharing market. As the economy continues to develop and urbanization rates increase, there is a greater demand for efficient and sustainable transportation options, driving the expansion of E-Scooter-sharing services across the country.

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.