Shared Mobility - Ireland

  • Ireland
  • The Shared Mobility market in Ireland is expected to witness significant growth in the coming years.
  • According to projections, the revenue in this market is estimated to reach €3,002.00m by 2024, with an annual growth rate (CAGR 2024-2029) of 2.15%.
  • This growth is expected to result in a projected market volume of €3,339.00m by 2029.
  • Flights is the largest market in this market, with a projected market volume of €1,172.00m in 2024.
  • The number of users in the Public Transportation market is expected to reach 2,709.00k users by 2029.
  • The user penetration rate is expected to increase from 90.0% in 2024 to 95.0% by 2029.
  • The average revenue per user (ARPU) is projected to be €655.70.
  • Furthermore, it is estimated that 63% of the total revenue in the Shared Mobility market in Ireland will be generated through online sales by 2029.
  • In comparison to other countries, China is expected to generate the most revenue in this market, with a projected revenue of €335bn in 2024.
  • In Ireland, the shared mobility market is gaining traction with the rise of bike-sharing schemes and the introduction of e-scooter pilot programs in major cities.

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

 
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Analyst Opinion

The Shared Mobility market in Ireland is experiencing a notable shift in consumer behavior and market dynamics.

Customer preferences:
Customers in Ireland are increasingly valuing convenience and sustainability, driving the demand for shared mobility services. With a growing awareness of environmental issues, more individuals are opting for eco-friendly transportation options. Additionally, the younger demographic, particularly in urban areas, prefers flexibility and cost-effectiveness, making shared mobility services an attractive choice.

Trends in the market:
One prominent trend in the Shared Mobility market in Ireland is the rise of electric scooters and bikes as popular choices for short-distance travel. These options provide a convenient and environmentally friendly way to navigate cities. Moreover, car-sharing services are gaining traction, especially among those who seek on-demand access to vehicles without the burden of ownership. Integration of technology, such as mobile apps for booking and payment, is also a significant trend shaping the market.

Local special circumstances:
Ireland's unique geographical characteristics, with its compact cities and well-connected public transportation systems, contribute to the growth of the Shared Mobility market. The presence of tech-savvy consumers and a culture that embraces innovation further propels the adoption of shared mobility services. Additionally, government support for sustainable transportation initiatives plays a crucial role in shaping the market landscape.

Underlying macroeconomic factors:
Economic stability and steady GDP growth in Ireland provide a favorable environment for the Shared Mobility market to flourish. The increasing urbanization rate and changing lifestyle preferences towards shared experiences influence the market dynamics. Furthermore, investments in infrastructure development and efforts to reduce traffic congestion enhance the viability of shared mobility solutions in the country.

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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