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Bike-sharing - Slovenia

Slovenia

Slovenia is projected to witness a revenue of US$1.10m in the Bike-sharing market by 2024.
The revenue is expected to grow annually at a rate of 3.24% during 2024-2029, resulting in a projected market volume of US$1.29m by 2029.
The projected number of users in the Bike-sharing market is expected to reach 125.60k users by 2029.
The user penetration rate is expected to be 5.3% in 2024 and 6.0% by 2029.
The average revenue per user (ARPU) is expected to be US$9.85.
It is estimated that 93% of the total revenue in this market will be generated through online sales by 2029.
In comparison to other countries, China is expected to generate the most revenue in the Bike-sharing market, with a projected revenue of US$5,515m in 2024.
Slovenia's bike-sharing market is experiencing growth, with an emphasis on expanding the service to smaller towns and rural areas.

Key regions: South America, Malaysia, India, Indonesia, Saudi Arabia

Definition:

The Bike-sharing market includes short-term bike-sharing services. In bike-sharing services, bicycles are generally owned by a bike-sharing provider and are independently reserved by customers around the clock. Customers are required to open an account with the bike-sharing provider and can then reserve bicycles. This is usually done with a smartphone app, but there are also service providers that allow reservations to be made via the provider's website, by telephone, or at a terminal.

The two most frequently used bike-sharing varieties are the following: station-based (e.g., Stadtrad and Citi Bike New York) and free-floating (such as nextbike and ofo). With station-based bike-sharing, a bicycle is retrieved from a bike-sharing station and returned to either the same station or dropped off at another station. With free-floating bike-sharing, it is possible to find bicycles everywhere within the service provider's business zone and leave the bicycle anywhere in accordance with traffic regulations. Peer-to-peer bike-sharing is not included in the market definition of this market. 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 Bike-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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Analyst Opinion

The Bike-sharing market in Slovenia has been experiencing significant growth in recent years, driven by changing customer preferences, emerging trends in the market, local special circumstances, and underlying macroeconomic factors. Customer preferences in Slovenia have shifted towards more sustainable and eco-friendly transportation options, leading to an increased demand for bike-sharing services. Customers are becoming more conscious of their environmental impact and are actively seeking alternatives to traditional modes of transportation. The convenience and affordability of bike-sharing services make them an attractive option for many individuals, especially in urban areas where traffic congestion and limited parking spaces are common. Trends in the market indicate that bike-sharing services have become an integral part of the transportation ecosystem in Slovenia. The introduction of smart technology, such as mobile applications and GPS tracking, has made it easier for customers to locate and rent bikes. This has significantly improved the user experience and convenience of bike-sharing services. Additionally, the integration of bike-sharing with other modes of transportation, such as public transit systems, has further enhanced the accessibility and usability of these services. Local special circumstances in Slovenia, such as its favorable geography and infrastructure, have also contributed to the growth of the Bike-sharing market. Slovenia is known for its picturesque landscapes and well-maintained cycling paths, making it an ideal destination for bike enthusiasts. The government has also invested in the development of cycling infrastructure, including dedicated bike lanes and parking facilities, which has further encouraged the use of bike-sharing services. Underlying macroeconomic factors, such as the growth of the tourism industry and changing demographics, have also played a role in the development of the Bike-sharing market in Slovenia. The country has seen an increase in the number of tourists visiting its cities, and bike-sharing services provide them with a convenient and cost-effective way to explore the local attractions. Furthermore, the younger population in Slovenia is more inclined towards sustainable and active lifestyles, making bike-sharing a popular choice among this demographic. In conclusion, the Bike-sharing market in Slovenia is experiencing significant growth due to changing customer preferences, emerging trends, local special circumstances, and underlying macroeconomic factors. The demand for sustainable transportation options, the integration of smart technology, favorable geography and infrastructure, and the growth of the tourism industry and changing demographics are all contributing to the expansion of the Bike-sharing market in Slovenia.

Methodology

Data coverage:

The data encompasses B2C enterprises. Figures are based on bookings, revenues, and online shares of bike-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.