Shared Mobility - Australia & Oceania

Australia & Oceania

Highlights

Australia & Oceania is projected to witness a significant rise in revenue in the Shared Mobility market, which is expected to reach US$22.84bn by 2024.
It is projected to show an annual growth rate of 2.14%, culminating in a projected market volume of US$25.40bn by 2029.
The largest market in the region is Flights, which is expected to reach a projected market volume of US$12.69bn by 2024.
Additionally, the number of users in the Public Transportation market is expected to amount to 21.32m users by 2029.
The user penetration is expected to be 69.4% in 2024 and 74.2% by 2029.
The average revenue per user (ARPU) is expected to be US$758.30.
Furthermore, the region is expected to generate 78% of total revenue through online sales by 2029.
It is noteworthy that, in global comparison, China is expected to generate the most revenue in this market, amounting to US$365bn in 2024.
Australia's shared mobility market is seeing a rise in electric bike and scooter rentals as cities prioritize sustainable transportation options.

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 Australia & Oceania has been experiencing significant growth and evolution in recent years.

Customer preferences: Customers in Australia & Oceania are increasingly embracing shared mobility services due to the convenience, cost-effectiveness, and environmental benefits they offer. The younger generation, in particular, is more inclined towards shared mobility options as they prioritize experiences over ownership.

Trends in the market: In Australia, ride-hailing services have become extremely popular, with major players expanding their operations to cover more cities and regions. Additionally, the electric scooter market is gaining traction in countries like New Zealand, offering a sustainable transportation alternative in urban areas. Car-sharing services are also on the rise, catering to individuals who prefer occasional access to a vehicle without the burden of ownership.

Local special circumstances: The unique geography of Australia & Oceania, with vast distances between cities and limited public transportation options in certain areas, has created a demand for flexible and on-demand mobility solutions. This has led to the rapid growth of shared mobility services as a convenient and efficient way to bridge transportation gaps.

Underlying macroeconomic factors: The growing urban population, increasing traffic congestion, and rising environmental concerns are driving the shift towards shared mobility in Australia & Oceania. Government support for sustainable transportation initiatives, along with advancements in technology, are further propelling the development of the Shared Mobility market in the region.

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.