Car-sharing - Costa Rica

  • Costa Rica
  • The Car-sharing market in Costa Rica is expected to see a significant increase in revenue in the coming years.
  • By 2024, revenue is projected to reach US$3.66m.
  • This growth is expected to continue at an annual rate of 3.94% from 2024 to 2029, resulting in a market volume projection of US$4.44m by 2029.
  • The number of users in this market is expected to rise to 61.41k users by 2029, with a user penetration of 1.0% in 2024, which is projected to increase to 1.1% by 2029.
  • The average revenue per user (ARPU) is expected to be US$69.76.
  • Furthermore, online sales are expected to generate 92% of the total revenue in the Car-sharing market by 2029.
  • In comparison to other countries, United States is projected to generate the highest revenue in this market, with US$2,986m in 2024.
  • Costa Rican car-sharing companies are shifting towards hybrid and electric vehicles to meet the country's eco-friendly transportation demands.

Key regions: Europe, Germany, India, United States, Malaysia

 
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Analyst Opinion

The Car-sharing market in Costa Rica has been experiencing significant growth in recent years, driven by changing customer preferences and the emergence of new market trends. Customer preferences in the Car-sharing market in Costa Rica have shifted towards more sustainable and cost-effective transportation options. With increasing concerns about environmental issues and rising fuel prices, many consumers are looking for alternatives to traditional car ownership. Car-sharing provides a convenient and affordable solution, allowing individuals to access a vehicle when needed without the expenses and responsibilities associated with owning a car. Trends in the Car-sharing market in Costa Rica reflect broader global patterns, with the rise of digital platforms and mobile applications playing a key role in facilitating car-sharing services. These platforms allow users to easily locate and reserve vehicles, making the process more convenient and user-friendly. Additionally, the availability of a wide range of vehicle types and models provides customers with more options to choose from, catering to their specific needs and preferences. Local special circumstances in Costa Rica further contribute to the development of the Car-sharing market. The country's strong tourism industry attracts a large number of visitors who may prefer car-sharing as a flexible and convenient transportation option during their stay. Additionally, the high cost of car ownership and limited parking spaces in urban areas make car-sharing an attractive alternative for many residents. Underlying macroeconomic factors also play a role in the growth of the Car-sharing market in Costa Rica. The country's stable economy and increasing disposable income levels have allowed more individuals to consider car-sharing as a viable transportation option. Furthermore, government initiatives promoting sustainable transportation and reducing traffic congestion have created a favorable environment for the development of the Car-sharing market. Overall, the Car-sharing market in Costa Rica is experiencing growth due to changing customer preferences, global market trends, local special circumstances, and underlying macroeconomic factors. As more individuals seek sustainable and cost-effective transportation options, car-sharing is expected to continue expanding in the country.

Methodology

Data coverage:

The data encompasses B2C enterprises. Figures are based on bookings, revenues, and online shares of car-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.

Overview

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