Shared Mobility - Portugal

  • Portugal
  • Portugal is expected to see a positive trend in the Shared Mobility market's revenue, reaching €3,389.00m by 2024.
  • The market is projected to grow at a Compound Annual Growth Rate (CAGR) of 2.76% between 2024 and 2029, resulting in a market volume of €3,884.00m by 2029.
  • Among the Shared Mobility markets, Flights is expected to hold the largest market share in Portugal, with a projected market volume of €1,414.00m in 2024.
  • By 2029, the number of Public Transportation users is expected to reach 7.49m users.
  • The user penetration rate is expected to increase from 91.1% in 2024 to 95.0% in 2029.
  • The Average Revenue Per User (ARPU) is expected to remain steady at €364.00.
  • In terms of sales, online channels are projected to account for 60% of the total revenue generated by the Shared Mobility market by 2029.
  • It is worth noting that in the global comparison, China is expected to generate the most significant revenue, amounting to €338bn in 2024.
  • Portugal's shared mobility market is growing steadily, with a focus on electric scooters and bike-sharing systems in major urban areas.

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

 
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Analyst Opinion

Over the past few years, Portugal has witnessed a rapid growth in the Shared Mobility market.

Customer preferences:
Customers in Portugal are increasingly leaning towards Shared Mobility services due to their convenience, cost-effectiveness, and environmental benefits. The younger generation, in particular, is more inclined towards using shared transportation options as they prioritize sustainability and flexibility in their travel choices.

Trends in the market:
One notable trend in the Shared Mobility market in Portugal is the rise of electric scooters and bikes as popular modes of transportation in urban areas. These eco-friendly options have gained popularity among commuters for short-distance trips, contributing to the overall growth of the shared mobility sector in the country. Additionally, car-sharing services have also seen significant adoption, especially in major cities where traffic congestion and parking limitations are prevalent.

Local special circumstances:
Portugal's tourism industry plays a significant role in driving the Shared Mobility market in the country. With a large number of tourists visiting popular cities like Lisbon and Porto, there is a growing demand for convenient and flexible transportation options. Shared Mobility services cater to both locals and tourists, providing a seamless travel experience in urban areas and tourist hotspots.

Underlying macroeconomic factors:
The economic stability and increasing urbanization in Portugal have created a favorable environment for the growth of the Shared Mobility market. As more people move to urban centers for employment and education opportunities, the need for efficient and sustainable transportation solutions has become paramount. The government's focus on promoting sustainable mobility options and reducing carbon emissions has further propelled the adoption of shared transportation services across 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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