Shared Mobility - Guatemala

  • Guatemala
  • The Shared Mobility market in Guatemala is expected to experience significant growth in the coming years.
  • According to market projections, revenue in this market is expected to reach US$872.20m by 2024, with an annual growth rate of 3.32% projected for the period between 2024 and 2029.
  • This growth is expected to result in a projected market volume of US$1,027.00m by 2029.
  • Flights are projected to be the largest of the Shared Mobility markets in Guatemala, with a market volume of US$350.40m anticipated by 2024.
  • Additionally, the number of users of Public Transportation is expected to increase to 8.64m users by 2029.
  • The user penetration rate is expected to reach 95.0% by 2029, up from 95.0% in 2024.
  • The average revenue per user (ARPU) is expected to be US$44.29 in Guatemala.
  • Furthermore, it is projected that by 2029, 56% of the total revenue in the Shared Mobility market will be generated through online sales.
  • In a global comparison, it is expected that China will generate the most revenue in this market, with an anticipated revenue of US$365bn in 2024.
  • Shared mobility options like carpooling and bike-sharing are gaining popularity in Guatemala City due to heavy traffic and limited public transportation.

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

 
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Analyst Opinion

The Shared Mobility market in Guatemala is experiencing significant growth and evolution, driven by various factors unique to the region.

Customer preferences:
Customers in Guatemala are increasingly opting for shared mobility services due to the convenience and cost-effectiveness they offer. With the rise of urbanization and traffic congestion in major cities, more people are turning to shared mobility options as a practical solution for their daily transportation needs.

Trends in the market:
One of the prominent trends in the Shared Mobility market in Guatemala is the growing popularity of ride-hailing services. Companies offering ride-hailing platforms have seen a surge in demand as consumers seek efficient and reliable transportation services. Additionally, the emergence of electric scooters and bike-sharing services is also gaining traction in urban areas, providing environmentally friendly alternatives for short-distance travel.

Local special circumstances:
Guatemala's unique geographical and infrastructural challenges play a significant role in shaping the Shared Mobility market. The diverse terrain and road conditions in the country create a demand for versatile transportation options that can navigate different landscapes. Moreover, the cultural emphasis on community and sharing resources aligns well with the concept of shared mobility, making it a natural fit for the Guatemalan market.

Underlying macroeconomic factors:
The economic landscape in Guatemala, characterized by a growing middle class and increasing disposable income, contributes to the expansion of the Shared Mobility market. As more people have the financial means to access transportation services beyond traditional car ownership, the demand for shared mobility solutions continues to rise. Additionally, government initiatives to improve transportation infrastructure and reduce traffic congestion further support the growth of the market.

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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