Shared Mobility - Costa Rica

  • Costa Rica
  • The Shared Mobility market in Costa Rica is expected to experience substantial growth in the coming years.
  • By 2024, the projected revenue is set to reach €741.20m, and this is expected to grow annually at a rate of 2.97%, resulting in a predicted market volume of €858.00m by 2029.
  • It is worth noting that the largest market of this market is Flights, which is expected to reach a market volume of €291.20m in 2024.
  • Additionally, it is expected that the number of users in the Public Transportation market will reach 3.49m users by 2029.
  • The user penetration of 86.2% in 2024 is projected increase to 94.4% by 2029.
  • The average revenue per user (ARPU) is expected to be €163.80.
  • By 2029, 61% of the total revenue will be generated through online sales.
  • It is interesting to note that, in global comparison, China is predicted to generate the most revenue in this market, with a revenue projection of €335bn in 2024.
  • Costa Rica's shared mobility market is growing as more tourists and locals turn to bike and scooter rentals to navigate the country's eco-friendly landscape.

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

 
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Analyst Opinion

The Shared Mobility market in Costa Rica is experiencing a significant growth trajectory driven by shifting consumer preferences, technological advancements, and evolving urban landscapes.

Customer preferences:
Costa Rican consumers are increasingly valuing convenience, affordability, and sustainability in their transportation choices. This has led to a rising demand for shared mobility services such as ride-hailing, bike-sharing, and car-sharing. The flexibility and cost-effectiveness of these services appeal to a wide range of customers, from young urban professionals to environmentally-conscious individuals.

Trends in the market:
One prominent trend in the Costa Rican Shared Mobility market is the integration of electric vehicles. As the country focuses on reducing carbon emissions and promoting sustainable practices, shared mobility providers are introducing electric scooters, bikes, and cars into their fleets. This not only aligns with customer preferences for eco-friendly options but also contributes to the overall green initiatives in the transportation sector.

Local special circumstances:
Costa Rica's unique geography and tourism industry play a significant role in shaping the Shared Mobility market. With a growing number of tourists visiting the country each year, there is a demand for convenient and efficient transportation solutions within popular tourist destinations. Shared mobility services cater to this need by offering tourists a convenient way to explore the country without the hassle of owning a vehicle.

Underlying macroeconomic factors:
The economic stability and steady growth in Costa Rica provide a favorable environment for the expansion of the Shared Mobility market. As disposable incomes rise and urbanization continues, more individuals are looking for cost-effective and reliable transportation options. Additionally, government support for sustainable initiatives and public transportation improvements further propels the growth of shared mobility services 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.

Vue d’ensemble

  • Revenue
  • Sales Channels
  • Analyst Opinion
  • Users
  • Global Comparison
  • Methodology
  • Key Market Indicators
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