Shared Mobility - Malaysia

Malaysia

Highlights

The Shared Mobility market sector in Malaysia is set to experience substantial growth in revenue, with a projected revenue of US$6.48bn in 2024.
It is predicted that the market volume will reach US$7.62bn by 2029, with an annual growth rate of 3.31%.
The largest market within Shared Mobility market is Flights, which is expected to generate a market volume of US$3.61bn in 2024.
The Public Transportation users are expected to be 15.45m users by 2029.
The user penetration rate is projected to increase from 58.2% in 2024 to 65.5% by 2029.
The average revenue per user (ARPU) is expected to be US$320.70.
Furthermore, by 2029, 72% of the total revenue within the Shared Mobility market sector will be generated through online sales.
In comparison to other countries, China is expected to generate the highest revenue of US$365bn in 2024.
In Malaysia, the shared mobility market is gaining traction with the rise of ride-hailing services like Grab and the introduction of electric scooter sharing programs.

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 Malaysia has been experiencing significant growth and development in recent years.

Customer preferences: Customers in Malaysia are increasingly looking for convenient and cost-effective transportation options, which has led to a rise in demand for shared mobility services. The younger population, in particular, is more inclined towards using shared mobility services due to their flexibility and ease of use.

Trends in the market: One of the key trends in the Shared Mobility market in Malaysia is the increasing popularity of ride-hailing services. Companies offering ride-hailing services have been expanding their operations in the country, providing customers with a convenient way to get around urban areas. Additionally, the introduction of bike-sharing and e-scooter services has also gained traction among Malaysians looking for alternative modes of transportation.

Local special circumstances: Malaysia's growing urban population and increasing traffic congestion in major cities have contributed to the rise of shared mobility services in the country. The government's initiatives to promote sustainable transportation and reduce carbon emissions have also played a significant role in shaping the Shared Mobility market in Malaysia.

Underlying macroeconomic factors: The growing economy and rising disposable income levels in Malaysia have made shared mobility services more accessible to a larger segment of the population. Additionally, advancements in technology and the widespread use of smartphones have made it easier for customers to access and use shared mobility services, further driving the market growth in the country.

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.