Shared Mobility - Cuba

  • Cuba
  • The Shared Mobility market in Cuba is expected to witness significant growth in the coming years.
  • By 2024, the projected revenue in this market is estimated to reach US$22.64m, with an anticipated CAGR of -1.00% between 2024 and 2029.
  • This growth is expected to result in a market volume of US$21.53m by 2029.
  • The largest market within the Shared Mobility market in Cuba is Public Transportation, with a projected market volume of US$10.75m in 2024.
  • The number of users in the Public Transportation market is expected to grow to 5.99m users by 2029.
  • The user penetration rate of 93.2% in 2024 is expected to reach 93.0% by 2029.
  • The average revenue per user (ARPU) is expected to be US$2.17.
  • By 2029, online sales are expected to generate 52% of the total revenue in the Shared Mobility market in Cuba.
  • In terms of global comparison, China is projected to generate the highest revenue, with US$365bn in 2024.
  • Despite its limited resources, Cuba's government-led shared mobility initiatives, such as bike and taxi co-ops, reflect the country's unique approach to sustainable transportation.

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

 
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Analyst Opinion

The Shared Mobility market in Cuba is experiencing a gradual but steady growth in recent years.

Customer preferences:
Customers in Cuba are increasingly seeking convenient and cost-effective transportation options, which has led to a rise in demand for shared mobility services. The younger population, in particular, is more inclined towards flexible and on-demand transportation solutions rather than traditional ownership models.

Trends in the market:
One of the key trends in the Shared Mobility market in Cuba is the emergence of ride-sharing services that connect drivers with passengers through digital platforms. This trend aligns with the global shift towards shared transportation and reflects the growing popularity of app-based services in the country. Additionally, the introduction of electric scooters and bicycles for short-distance travel is gaining traction among urban commuters.

Local special circumstances:
Cuba's unique socio-economic and political landscape has influenced the development of the Shared Mobility market in the country. The government's restrictions on private vehicle ownership have created a gap in the transportation sector, which shared mobility services are filling. Moreover, the tourism industry in Cuba is a significant driver of shared mobility, with visitors often opting for convenient and affordable transportation options during their stay.

Underlying macroeconomic factors:
The gradual opening up of the Cuban economy and the increasing connectivity to the global market have played a role in shaping the Shared Mobility market. As the country undergoes economic reforms and experiences growth in tourism, there is a growing need for efficient transportation solutions. Additionally, the infrastructure development in urban areas to support shared mobility services is a crucial factor driving the market forward.

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
  • Global Comparison
  • Methodology
  • Key Market Indicators
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