Shared Mobility - Vietnam

  • Vietnam
  • Vietnam's Shared Mobility market is expected to experience significant growth in the coming years.
  • By 2024, revenue in this market is projected to reach €11,720.00m, with an annual growth rate of 5.34% from 2024 to 2029, resulting in a projected market volume of €15,200.00m by 2029.
  • The largest market within Shared Mobility is the Flights market, which is expected to reach a market volume of €5,913.00m by 2024.
  • In Vietnam, the number of Public Transportation users is expected to amount to 73,820.00k users by 2029.
  • The user penetration of 69.5% in 2024 is projected increase to 79.4% by 2029.
  • The average revenue per user (ARPU) is expected to be €217.50.
  • By 2029, 68% of the total revenue in Vietnam's Shared Mobility market will be generated through online sales.
  • It is noteworthy that in global comparison, China is expected to generate the most revenue in this market, reaching €338bn in 2024.
  • Vietnam's shared mobility market is rapidly growing, with ride-hailing services like Grab and GoViet leading the charge.

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

 
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Analyst Opinion

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

Customer preferences:
Customers in Vietnam are increasingly looking for convenient and cost-effective transportation options, which has led to a surge in the popularity of shared mobility services. The younger population, in particular, is more inclined towards using shared mobility solutions due to their flexibility and affordability.

Trends in the market:
One of the key trends in the Shared Mobility market in Vietnam is the rapid expansion of ride-hailing services. Companies offering ride-hailing services have been investing heavily in the Vietnamese market, leading to fierce competition and innovative service offerings. Additionally, the integration of various modes of transportation, such as bikes and electric scooters, into existing shared mobility platforms is gaining traction among consumers in Vietnam.

Local special circumstances:
Vietnam's rapidly growing urban population, coupled with increasing traffic congestion in major cities, has created a favorable environment for the growth of shared mobility services. The government's initiatives to promote sustainable transportation solutions and reduce carbon emissions have also played a crucial role in driving the adoption of shared mobility services in the country.

Underlying macroeconomic factors:
The rising disposable income levels in Vietnam have made shared mobility services more accessible to a larger segment of the population. Additionally, the proliferation of smartphones and the widespread availability of mobile internet services have made it easier for consumers to access and use shared mobility platforms. These macroeconomic factors have contributed to the overall growth and expansion of the Shared Mobility market in Vietnam.

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.

Visión general

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