Shared Mobility - Spain

  • Spain
  • Spain's Shared Mobility market is expected to experience significant growth over the next few years.
  • By 2024, revenue in this market is projected to reach US$25,770.00m.
  • Furthermore, it is expected to grow annually at a rate of 2.32% (CAGR 2024-2029), resulting in a projected market volume of US$28,900.00m by 2029.
  • The largest market within this market is Flights, which is expected to generate a market volume of US$11,850.00m by 2024.
  • In terms of user numbers, the Public Transportation market is expected to have 34,380.00k users users by 2029.
  • In 2024, user penetration is expected to be 89.7%, which is projected to increase to 95.0% by 2029.
  • The average revenue per user (ARPU) is expected to be US$605.20.
  • By 2029, 63% of total revenue in the Shared Mobility market will be generated through online sales.
  • Compared to other countries, Spain's Shared Mobility market is still in its early stages.
  • In global comparison, China is expected to generate the most revenue in this market, with a projected revenue of US$365bn by 2024.
  • Spain's shared mobility market is experiencing a surge in demand, with companies like Cabify and BlaBlaCar leading the way.

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

 
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Analyst Opinion

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

Customer preferences:
Customers in Spain are increasingly looking for convenient and cost-effective transportation options, leading to a growing demand for shared mobility services. With the rise of urbanization and environmental awareness, there is a shift towards shared modes of transportation such as ride-hailing, car-sharing, and bike-sharing.

Trends in the market:
One prominent trend in the Shared Mobility market in Spain is the integration of various services into a single platform, providing users with a seamless experience and more transportation options. This trend is driven by the need for efficiency and flexibility in travel arrangements. Additionally, the market is seeing an increase in partnerships between shared mobility providers and public transportation systems to offer integrated solutions.

Local special circumstances:
Spain's unique geographical and cultural characteristics play a role in shaping the Shared Mobility market. The country's well-developed public transportation network in major cities like Madrid and Barcelona complements shared mobility services, offering users a comprehensive range of options for their daily commute. Furthermore, the tourism industry in Spain contributes to the demand for short-term shared mobility solutions among visitors.

Underlying macroeconomic factors:
The economic landscape in Spain, including factors such as disposable income levels and unemployment rates, influences the growth of the Shared Mobility market. As the economy continues to recover from past challenges, there is a greater willingness among consumers to explore alternative transportation modes that are cost-effective and efficient. Moreover, government initiatives and regulations supporting sustainable transportation solutions further drive the development of the shared mobility sector in Spain.

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
  • Mode of Transportation
  • User Demographics
  • Global Comparison
  • Methodology
  • Key Market Indicators
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