Bike-sharing - Australia & Oceania

Australia & Oceania is projected to reach a revenue of US$73.00m in the Bike-sharing market by 2024.
It is expected to have an annual growth rate (CAGR 2024-2029) of 2.90%, resulting in a projected market volume of US$84.19m by 2029.
By 2029, the number of users in the Bike-sharing market is expected to amount to 1.32m users, with a user penetration projected to be 2.9%.
The average revenue per user (ARPU) is expected to amount to US$61.41.
It is projected that 99% of the total revenue in the Bike-sharing market will be generated through online sales by 2029.
In global comparison, the majority of the revenue in the Bike-sharing market will be generated in China, with a projected revenue of US$6bn in 2024.
Australia's bike-sharing market is growing rapidly, with companies such as Lime and Ofo expanding their operations in major cities.

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

Bike-sharing has been gaining popularity in Australia & Oceania, with an increasing number of cities and towns adopting this sustainable transportation option.

Customer preferences: Customers in Australia & Oceania are increasingly looking for convenient and environmentally-friendly transportation options. Bike-sharing provides an affordable and flexible solution for short-distance travel, especially in urban areas where traffic congestion and limited parking spaces are common. Additionally, the health and fitness benefits associated with cycling are also attracting customers to bike-sharing services.

Trends in the market: The Bike-sharing market in Australia & Oceania is witnessing several trends. Firstly, there has been a significant increase in the number of bike-sharing operators entering the market, leading to increased competition. This competition has resulted in improved service quality, lower prices, and the introduction of innovative features such as electric bikes and dockless systems. Secondly, there is a growing trend of bike-sharing services being integrated with other modes of transportation, such as public transit systems. This integration allows customers to easily switch between different modes of transportation, providing a seamless and efficient travel experience. Furthermore, bike-sharing services are expanding beyond major cities and into smaller towns and regional areas. This expansion is driven by the recognition of the benefits of bike-sharing in promoting tourism, reducing traffic congestion, and improving air quality.

Local special circumstances: Australia & Oceania is known for its diverse landscapes and outdoor lifestyle. This unique characteristic makes the region particularly suitable for bike-sharing. Customers can enjoy scenic bike rides along coastal paths, through national parks, and in urban areas with dedicated cycling infrastructure. Additionally, the region's warm climate and relatively flat terrain make it conducive to cycling, further enhancing the appeal of bike-sharing services.

Underlying macroeconomic factors: Several macroeconomic factors contribute to the development of the Bike-sharing market in Australia & Oceania. Firstly, the region's growing population and urbanization rates have increased the demand for alternative transportation options. Bike-sharing provides a sustainable and efficient solution to meet this demand. Secondly, government initiatives and policies aimed at reducing carbon emissions and promoting sustainable transportation have also played a significant role in the growth of the Bike-sharing market. Governments have implemented measures such as bike-friendly infrastructure, subsidies for bike-sharing operators, and public awareness campaigns to encourage the use of bike-sharing services. Furthermore, the increasing focus on health and wellness among individuals in Australia & Oceania has contributed to the popularity of bike-sharing. Cycling is seen as a form of exercise and a way to improve physical and mental well-being. In conclusion, the Bike-sharing market in Australia & Oceania is experiencing growth due to customer preferences for convenient and sustainable transportation options, the introduction of innovative features, integration with other modes of transportation, and expansion into smaller towns and regional areas. The region's unique landscapes, outdoor lifestyle, and favorable climate further contribute to the development of the Bike-sharing market. Government initiatives and the growing focus on health and wellness also play a significant role in driving the growth of bike-sharing in Australia & Oceania.

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.