Shared Mobility - Albania

Albania

Highlights

In Albania, the Shared Mobility market is expected to experience significant growth in the coming years.
By 2024, revenue is projected to reach US$369.80m and show an annual growth rate of 4.63%, resulting in a market volume of US$463.80m by 2029.
The largest market in the market is Flights, which is projected to generate revenue of US$163.30m in 2024.
By 2029, the number of users in the Public Transportation market is expected to amount to 2.12m users.
The user penetration rate is expected to be 95.0% in 2024 and 95.0% by 2029.
The average revenue per user (ARPU) is expected to be US$137.00.
By 2029, 60% of the total revenue in the Shared Mobility market is expected to be generated through online sales.
It is worth noting that in global comparison, China is projected to generate the most revenue in this market, with US$365bn in 2024.
Shared mobility solutions, such as car sharing and bike sharing, are slowly gaining popularity in Albania, especially in urban areas.

Key regions:

Definition:

The Shared Mobility market encompasses a diverse range of long- and short-distance mobility services. As the world moves towards a more connected and digital era, the Shared Mobility market is central to driving innovation, collaboration, and the development of intelligent transportation systems.

Structure:

The market consists of eleven further markets. These include the following markets:

The Car Rentals market contains vehicle rentals that have been booked in person, by telephone via the internet or an app.
The Car-sharing market includes professionally run car-sharing services that provide on-demand access vehicles, allowing users to rent cars for short periods, e.g., by minute or hour.
The Bike-sharing market contains short-term bike-sharing services. Bicycles can be found in the provider’s business zone where they are either parked at designated stations or freely distributed without fixed docks.
The Ride-hailing market encompasses on-demand transportation services facilitated through mobile apps or online platforms. This market covers both private vehicle rides and taxi services, all booked exclusively online.
The Taxi market covers exclusively traditional taxi services booked offline, typically via street hailing or phone calls.
The Flights market contains air travel bookings regardless of the purchase channel, such as an airline's website or a travel agency.
In the Public Transportation market, revenues generated by ticket sales from public transportation companies are considered.

Additional Information:

The main performance indicators of the Shared Mobility 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 above-mentioned markets. 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. Additional definitions for each market can be found within the respective market pages.

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.

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

The Shared Mobility market in Albania has been experiencing notable growth in recent years.

Customer preferences: Customers in Albania are increasingly valuing convenience, affordability, and sustainability when it comes to transportation options. Shared Mobility services such as ride-hailing, bike-sharing, and car-sharing are becoming popular choices among consumers looking for flexible and cost-effective ways to travel within cities.

Trends in the market: One of the key trends in the Shared Mobility market in Albania is the rise of ride-hailing services, which are gaining traction due to their ease of use and availability through mobile apps. Additionally, the increasing awareness of environmental issues is driving the demand for eco-friendly transportation options, leading to the growth of bike-sharing services in urban areas.

Local special circumstances: Albania's unique geographical features, including its mountainous terrain and coastal cities, present both challenges and opportunities for Shared Mobility providers. In cities like Tirana and Durres, where traffic congestion is a common issue, Shared Mobility services offer a practical solution for residents and tourists alike to navigate the streets more efficiently.

Underlying macroeconomic factors: The growth of the Shared Mobility market in Albania is also influenced by macroeconomic factors such as rising urbanization rates, increasing disposable income levels, and a growing tech-savvy population. As more people move to urban centers and seek convenient transportation options, the demand for Shared Mobility services is expected to continue on an upward trajectory.

Data coverage:

The data encompasses B2C enterprises. Figures are based on bookings, revenues, and online shares of car rentals, ride-hailing, taxi, car-sharing, bike-sharing, e-scooter-sharing, moped-sharing, trains, buses, public transportation, and flights.

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.