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E-Scooter-sharing - Ireland

Ireland

The E-Scooter-sharing market in Ireland is expected to generate revenue of US$2,825.00k by 2024.
Furthermore, the market is projected to grow annually at a rate of 12.07%, reaching a market volume of US$4,457.00k by 2028.
The number of users in this market is expected to reach 231.20k users by 2028, with user penetration projected to be 2.9% in 2024 and 4.4% by 2028.
The average revenue per user (ARPU) is expected to be US$18.90.
In 2028, 100% of total revenue will be generated through online sales.
It is worth noting that in global comparison, United States is expected to generate the highest revenue of US$768,400k in 2024 in the E-Scooter-sharing market.
E-Scooter-sharing is still illegal on public roads in Ireland, hindering market growth and adoption.

Key regions: India, Thailand, Malaysia, China, South America

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Analyst Opinion

The E-Scooter-sharing market in Ireland has experienced significant growth in recent years, driven by changing customer preferences and the introduction of new technologies.

Customer preferences: One of the main reasons for the growth of the E-Scooter-sharing market in Ireland is the increasing preference for sustainable and convenient modes of transportation. With growing concerns about climate change and environmental sustainability, many consumers are looking for alternatives to traditional modes of transportation that are more eco-friendly. E-Scooter-sharing services provide a convenient and affordable option for short-distance travel, allowing users to avoid traffic congestion and reduce their carbon footprint.

Trends in the market: The E-Scooter-sharing market in Ireland has also been influenced by technological advancements and the rise of the sharing economy. The introduction of smartphone apps has made it easier for users to locate and rent e-scooters, eliminating the need for physical rental stations. This has significantly increased the accessibility and convenience of e-scooter sharing services, attracting a larger customer base.

Local special circumstances: Ireland's urban areas, such as Dublin, have seen a particularly high demand for e-scooter sharing services due to their compact size and heavy traffic congestion. E-scooters offer a flexible and efficient mode of transportation for short trips within the city, allowing users to avoid traffic and reach their destinations more quickly. The Irish government has also been supportive of e-scooter sharing initiatives, implementing regulations and guidelines to ensure the safe operation of these services.

Underlying macroeconomic factors: The growth of the E-Scooter-sharing market in Ireland is also influenced by macroeconomic factors such as population growth and urbanization. As more people move to urban areas, the demand for alternative modes of transportation increases. Additionally, Ireland's strong economy and high disposable income levels contribute to the willingness of consumers to adopt new technologies and embrace innovative transportation solutions. In conclusion, the E-Scooter-sharing market in Ireland is experiencing significant growth due to changing customer preferences, technological advancements, local special circumstances, and underlying macroeconomic factors. The increasing demand for sustainable and convenient transportation options, coupled with the rise of the sharing economy, has created a favorable environment for the expansion of e-scooter sharing services in the country.

Methodology

Data coverage:

The data encompasses B2C enterprises. Figures are based on bookings and revenues of e-scooter-sharing services.

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.