Shared Mobility - Ecuador

  • Ecuador
  • The Shared Mobility market in Ecuador is expected to experience significant growth in the coming years.
  • According to projections, revenue in this market is expected to reach US$1,312.00m by 2024, with an annual growth rate of 1.10% from 2024 to 2029.
  • This growth is expected to result in a projected market volume of US$1,386.00m by 2029.
  • Flights is the largest market in the market, with a projected market volume of US$591.60m by 2024.
  • The number of users in the Public Transportation market is expected to reach 9,297.00k users by 2029.
  • The user penetration is projected to increase from 87.4% in 2024 to 89.9% by 2029.
  • The average revenue per user (ARPU) is projected to be US$81.68.
  • In Ecuador, online sales are expected to generate 54% of total revenue by 2029.
  • When compared globally, China is expected to generate the most revenue in this market, with a projected revenue of US$365bn by 2024.
  • Shared mobility services are gaining popularity in Ecuador due to increasing traffic congestion and a growing demand for affordable transportation options.

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

 
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Analyst Opinion

The Shared Mobility market in Ecuador has been experiencing significant growth and development in recent years.

Customer preferences:
Customers in Ecuador are increasingly looking for 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 car ownership.

Trends in the market:
One of the key trends in the Shared Mobility market in Ecuador is the increasing popularity of ride-hailing services. Companies offering ride-hailing apps have seen a surge in user numbers as more people opt for the convenience of booking a ride through their smartphones. Additionally, car-sharing services are also gaining traction in urban areas as a sustainable and efficient way of commuting.

Local special circumstances:
Ecuador's unique geographical landscape, with its diverse terrain and varying urban development, plays a significant role in shaping the Shared Mobility market. The presence of bustling cities like Quito and Guayaquil, coupled with the need for reliable transportation in rural areas, creates a demand for a wide range of shared mobility options to cater to different customer needs.

Underlying macroeconomic factors:
Economic factors such as rising urbanization, increasing disposable income, and changing consumer preferences are driving the growth of the Shared Mobility market in Ecuador. Additionally, government initiatives to promote sustainable transportation solutions and reduce traffic congestion are also contributing to the expansion of shared mobility services across 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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