Shared Mobility - Taiwan

  • Taiwan
  • The revenue in the Shared Mobility market of Taiwan is expected to reach US$11,500.00m by 2024 and show an annual growth rate of 1.84%, resulting in a market volume of US$12,600.00m by 2029.
  • The largest market in this market is Flights, which is expected to reach US$5,423.00m in 2024.
  • The number of users using Public Transportation is expected to be 18,970.00k users by 2029.
  • The user penetration is expected to be 95.0% in 2024 and 95.0% by 2029.
  • The average revenue per user (ARPU) is projected to be US$457.30.
  • By 2029, 70% of the total revenue in the Shared Mobility market is predicted to be generated through online sales.
  • In comparison to other countries, China is expected to generate the most revenue (US$365bn in 2024).
  • Taiwan's shared mobility market is rapidly growing, with the government's support for green transportation initiatives driving demand for electric scooters and bikes.

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

 
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Analyst Opinion

The Shared Mobility market in Taiwan is experiencing significant growth and evolution in response to changing consumer preferences and market dynamics.

Customer preferences:
Customers in Taiwan are increasingly looking for convenient and cost-effective transportation options, leading to a rise in demand for shared mobility services. The younger generation, in particular, values flexibility and sustainability, driving the popularity of shared mobility solutions over traditional car ownership.

Trends in the market:
One prominent trend in the Shared Mobility market in Taiwan is the integration of technology and innovation. Companies are leveraging advanced mobile applications and digital platforms to improve user experience and streamline operations. Additionally, the market is witnessing a shift towards multi-modal transportation services, offering customers a variety of options to choose from based on their specific needs.

Local special circumstances:
Taiwan's dense urban population and limited parking space have created a conducive environment for shared mobility services to thrive. The efficient public transportation system in major cities like Taipei complements shared mobility options, encouraging more people to opt for eco-friendly and efficient modes of transportation.

Underlying macroeconomic factors:
The growing awareness of environmental issues and the government's initiatives to promote sustainable transportation solutions are driving the expansion of the Shared Mobility market in Taiwan. Additionally, the increasing urbanization and congestion in major cities are pushing both consumers and policymakers to embrace shared mobility as a viable solution for reducing traffic congestion and air pollution.

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
  • User Demographics
  • Global Comparison
  • Methodology
  • Key Market Indicators
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