Shared Mobility - ASEAN

  • ASEAN
  • The ASEAN region is expected to witness a notable growth in the Shared Mobility market with projected revenue of US$66,060.00m by 2024.
  • This is estimated to increase at a CAGR of 4.41% during 2024-2029, resulting in a projected market volume of US$81,970.00m by 2029.
  • Flights are expected to be the largest market in the market with a projected market volume of US$31,590.00m in 2024.
  • Furthermore, the number of users in the Public Transportation market is expected to reach 412.70m users by 2029.
  • In ASEAN, the user penetration is estimated to be 56.8% in 2024 and projected to increase to 57.9% by 2029.
  • The average revenue per user (ARPU) is expected to be US$189.00.
  • By 2029, 68% of total revenue in the Shared Mobility market is anticipated to be generated through online sales.
  • It is noteworthy that China is expected to generate the most revenue in the Shared Mobility market in 2024, amounting to US$365bn.
  • In ASEAN, the shared mobility market is flourishing, with Indonesia's Gojek and Philippines' Grab dominating the ride-hailing sector.

Key regions: United States, Saudi Arabia, Germany, Malaysia, India

 
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Analyst Opinion

The Shared Mobility market in ASEAN has been experiencing significant growth and development in recent years.

Customer preferences:
Customers in ASEAN countries are increasingly valuing convenience, affordability, and sustainability when it comes to transportation options. Shared Mobility services such as ride-hailing, bike-sharing, and car-sharing are gaining popularity due to their flexibility and cost-effectiveness. Additionally, the tech-savvy population in ASEAN countries is embracing digital platforms for booking and payment, further driving the demand for Shared Mobility services.

Trends in the market:
In Indonesia, motorcycle ride-hailing services have seen exponential growth, catering to the country's heavy traffic congestion and providing a quick and convenient mode of transport for urban dwellers. Thailand has witnessed a rise in electric scooter-sharing services, aligning with the government's push towards sustainable transportation solutions. Singapore, known for its efficient public transport system, has seen a surge in car-sharing services targeting commuters who require flexibility for their daily commute.

Local special circumstances:
The diverse landscape and varying levels of infrastructure development across ASEAN countries present unique challenges and opportunities for the Shared Mobility market. Countries like Vietnam with dense urban areas are witnessing a boom in bicycle-sharing services, promoting eco-friendly transportation options. On the other hand, Malaysia's growing middle-class population is driving demand for premium ride-hailing services that offer comfort and luxury.

Underlying macroeconomic factors:
The growing middle-class population, rapid urbanization, and increasing smartphone penetration across ASEAN countries are key macroeconomic factors fueling the growth of the Shared Mobility market. Government initiatives to reduce traffic congestion, curb pollution, and improve overall transportation efficiency are also playing a crucial role in shaping the landscape of Shared Mobility services in the region. Additionally, the rise of digital payment solutions and the sharing economy mindset are further propelling the adoption of Shared Mobility services in ASEAN.

Methodology

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.

Overview

  • Revenue
  • Sales Channels
  • Analyst Opinion
  • Users
  • Global Comparison
  • Methodology
  • Key Market Indicators
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