Shared Mobility - El Salvador

  • El Salvador
  • The Shared Mobility market in El Salvador is expected to witness a significant rise in revenue, with an anticipated projection of US$354.70m in 2024.
  • The market is expected to experience an annual growth rate (CAGR 2024-2029) of 3.46%, which will result in a projected market volume of US$420.40m by 2029.
  • Among all the Shared Mobility markets, Flights is expected to be the largest with a projected market volume of US$155.10m in 2024.
  • By 2029, it is expected that the number of users in the Public Transportation market will increase to 3.87m users.
  • The user penetration rate is 95.0% in 2024, and it is expected to reach 95.0% by 2029.
  • Furthermore, the average revenue per user (ARPU) is estimated to be US$57.10.
  • Regarding revenue generation, it is expected that 51% of the total revenue will be generated through online sales by 2029.
  • It is interesting to note that in global comparison, China is projected to generate the most revenue, with an estimated revenue of US$365bn in 2024.
  • In El Salvador, the shared mobility market is growing slowly due to limited infrastructure and low consumer awareness.

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

 
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Analyst Opinion

The Shared Mobility market in El Salvador is witnessing a significant growth trajectory driven by changing customer preferences and unique local circumstances.

Customer preferences:
Customers in El Salvador are increasingly opting for shared mobility services due to the convenience, cost-effectiveness, and environmental benefits they offer. With a growing awareness of sustainability, many individuals are choosing shared mobility options over traditional modes of transportation. Moreover, the flexibility and ease of access provided by shared mobility services align well with the preferences of modern consumers who seek on-demand solutions.

Trends in the market:
One of the prominent trends in the Shared Mobility market in El Salvador is the rise of ride-hailing services and bike-sharing platforms. These services are gaining popularity among urban dwellers looking for efficient ways to commute within the city. Additionally, carpooling and shared taxi services are becoming more prevalent as people look for ways to reduce transportation costs and alleviate traffic congestion. The market is also witnessing the integration of technology to enhance user experience, with mobile applications playing a crucial role in connecting customers with shared mobility providers.

Local special circumstances:
El Salvador's unique geographical and infrastructural challenges have contributed to the growth of the Shared Mobility market. The country's urban centers face traffic congestion and limited parking spaces, making shared mobility services an attractive alternative for residents. Additionally, the presence of a young and tech-savvy population in El Salvador has accelerated the adoption of shared mobility solutions, driving further market expansion.

Underlying macroeconomic factors:
The economic landscape of El Salvador, characterized by a growing middle class and increasing urbanization, plays a significant role in shaping the Shared Mobility market. As disposable incomes rise, more individuals have the financial capacity to use shared mobility services regularly. Furthermore, the government's initiatives to improve transportation infrastructure and promote sustainable mobility practices have created a conducive environment for the growth of the shared mobility sector 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.

Overview

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