Bike-sharing - Poland | Statista Market Forecast

Poland is expected to see a significant increase in revenue within the Bike-sharing market, with projections indicating a rise to US$31.79m by 2024.
The market is anticipated to display a Compound Annual Growth Rate (CAGR) of 6.08% for the period 2024-2029, resulting in a projected market volume of US$42.69m by 2029.
The number of users in the Bike-sharing market is expected to reach 3.19m users by 2029.
The user penetration rate is expected to increase from 7.0% in 2024 to 8.2% by 2029.
The average revenue per user (ARPU) is expected to be US$11.33.
It is projected that by 2029, online sales will account for 94% of total revenue in the Bike-sharing market in Poland.
In a global comparison, China is expected to generate the highest revenue of US$6bn in 2024.
Poland's bike-sharing industry is gaining ground, with new players entering the market and cities implementing more bike-friendly infrastructure.

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.

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

Free-floating bike-sharing reservations
Stationary bike-sharing reservations
Services such as nextbik, ofo, Mobike, and LimeBike

Peer-to-peer bike-sharing reservations
Free bike-sharing services, such as Aarhus City Bikes
Multi-day bike rental offers
Discounts for customers with long-term subscriptions and other types of discounts
Electric scooter service providers

The Bike-sharing market in Poland has witnessed significant growth in recent years, driven by changing customer preferences, emerging trends, and local special circumstances.

Customer preferences: In Poland, customers are increasingly opting for bike-sharing services as a convenient and eco-friendly mode of transportation. The ease of access and flexibility offered by bike-sharing platforms have attracted a wide range of customers, including commuters, tourists, and fitness enthusiasts. With the growing awareness about the environmental impact of traditional modes of transportation, more people are choosing bike-sharing as a sustainable alternative.

Trends in the market: One of the key trends in the Polish Bike-sharing market is the integration of technology. Bike-sharing platforms are leveraging mobile applications and GPS tracking systems to provide seamless user experiences. Customers can easily locate and unlock bikes using their smartphones, making the process more efficient and user-friendly. Additionally, bike-sharing companies are adopting innovative pricing models, such as pay-per-ride or monthly subscriptions, to cater to different customer needs and preferences. Another trend in the market is the expansion of bike-sharing services beyond urban areas. While bike-sharing initially gained popularity in major cities, there is now a growing demand for these services in smaller towns and rural areas. This expansion is driven by the need for last-mile connectivity and the promotion of healthy and active lifestyles. Bike-sharing companies are gradually expanding their operations to cater to these emerging markets.

Local special circumstances: Poland's Bike-sharing market is influenced by its unique geographical and cultural factors. The country has a well-developed cycling infrastructure, with dedicated bike lanes and cycling-friendly policies in many cities. This infrastructure encourages people to use bikes for commuting and leisure purposes, further driving the demand for bike-sharing services. Additionally, Poland is known for its tourism industry, with many popular tourist destinations attracting visitors from around the world. Bike-sharing services provide tourists with a convenient way to explore these destinations, contributing to the growth of the market. The availability of bike-sharing services in tourist hotspots has become a key factor in attracting and retaining visitors.

Underlying macroeconomic factors: The growth of the Bike-sharing market in Poland is also influenced by underlying macroeconomic factors. The country's strong economic growth and rising disposable incomes have increased the affordability and accessibility of bike-sharing services. As more people have the means to afford bikes, the demand for bike-sharing services has increased. Furthermore, the government's focus on sustainable transportation and reducing carbon emissions has created a favorable environment for the Bike-sharing market. Initiatives such as subsidies for bike purchases and the development of cycling infrastructure have further boosted the adoption of bike-sharing services. In conclusion, the Bike-sharing market in Poland is experiencing significant growth due to changing customer preferences, emerging trends, local special circumstances, and underlying macroeconomic factors. The convenience, sustainability, and affordability offered by bike-sharing services have made them a popular choice among customers in Poland. With the continued expansion of bike-sharing platforms and the support of government initiatives, the market is expected to witness further growth in the coming years.

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.

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