Shared Mobility - Thailand

  • Thailand
  • Thailand is expected to experience significant growth in the Shared Mobility market.
  • By 2024, the projected revenue in this market is €10,710.00m.
  • The revenue is anticipated to grow at an annual rate of 2.59%, leading to a projected market volume of €12,170.00m by 2029.
  • The largest market in this market is Flights, which is projected to have a market volume of €4,981.00m by 2024.
  • The number of users in the Public Transportation market is expected to reach 49,200.00k users by 2029.
  • The user penetration will be 68.6% in 2024, which is expected to increase to 74.8% by 2029.
  • The average revenue per user (ARPU) is projected to be €217.20.
  • Additionally, 65% of the total revenue in the Shared Mobility market will be generated through online sales by 2029.
  • It is worth mentioning that China is anticipated to generate the most revenue in this market globally, with a projected revenue of €338bn in 2024.
  • Thailand's shared mobility market is rapidly growing, with a focus on motorbike taxis and ride-hailing services like Grab and Gojek.

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

 
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Analyst Opinion

The Shared Mobility market in Thailand has been experiencing significant growth and evolution in recent years.

Customer preferences:
Customers in Thailand are increasingly valuing convenience and cost-effectiveness when it comes to transportation options. The rise of shared mobility services such as ride-hailing, bike-sharing, and scooter-sharing platforms can be attributed to the growing preference for on-demand transportation solutions. Thai consumers are also becoming more environmentally conscious, leading to an increased interest in sustainable and eco-friendly mobility options.

Trends in the market:
One of the prominent trends in the Shared Mobility market in Thailand is the integration of various services into super apps. This trend mirrors the global shift towards all-in-one platforms that offer multiple transportation options within a single application. Additionally, the market is witnessing a rise in partnerships between shared mobility providers and public transportation systems to offer seamless first-and-last-mile connectivity for commuters. This trend is aimed at addressing the issue of traffic congestion in urban areas.

Local special circumstances:
Thailand's unique geographical and demographic factors play a significant role in shaping the Shared Mobility market. With a large population concentrated in urban centers like Bangkok, there is a high demand for efficient and affordable transportation solutions. The country's infrastructure development and government initiatives to promote shared mobility further contribute to the market's growth. Moreover, the cultural shift towards a sharing economy is influencing consumer behavior and driving the adoption of shared mobility services.

Underlying macroeconomic factors:
The economic landscape in Thailand, including factors such as GDP growth, disposable income levels, and urbanization rates, plays a crucial role in the development of the Shared Mobility market. As the economy continues to grow, more people are moving to urban areas, leading to increased demand for convenient transportation options. Additionally, the rise of the digital economy and smartphone penetration in Thailand has made it easier for shared mobility companies to reach a wider customer base and offer innovative services.

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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