Shared Mobility - Bolivia

  • Bolivia
  • Bolivia's Shared Mobility market is predicted to experience remarkable growth in the coming years.
  • As per current estimates, the market's revenue is projected to soar up to US$749.00m in 2024, with an expected Compound Annual Growth Rate (CAGR 2024-2028) of 6.26%.
  • This growth trajectory is expected to result in a market volume of US$954.80m by 2028.
  • The largest market within Shared Mobility market is Flights, with a projected volume of US$403.20m in 2024.
  • By 2028, the number of users in the Public Transportation market is expected to rise to 6.41m users.
  • In 2024, the user penetration in Bolivia's Flights market is expected to be at 85.2%, a figure that is expected to increase to 86.0% by 2028.
  • Furthermore, the average revenue per user (ARPU) is estimated to be US$69.96.
  • An estimated 56% of the total revenue in the Shared Mobility market is expected to come from online sales by 2028.
  • It is worth noting that China is expected to generate the most revenue globally, with a projected revenue of US$412bn in 2024.
  • Despite being a developing country, Bolivia has seen a rise in shared mobility services due to the high cost of car ownership and limited public transportation options.

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

 
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Analyst Opinion

The Shared Mobility market in Bolivia is experiencing a notable increase in demand and popularity among consumers.

Customer preferences:
Bolivian customers are increasingly valuing the convenience and cost-effectiveness of shared mobility services. With a growing urban population and traffic congestion in major cities, consumers are turning to shared mobility options as a more efficient way to commute. Additionally, the younger generation is more inclined towards sustainable and eco-friendly transportation solutions, further driving the demand for shared mobility services in the country.

Trends in the market:
One of the prominent trends in the Shared Mobility market in Bolivia is the expansion of ride-hailing services beyond major cities into smaller towns and rural areas. This trend is fueled by the need for reliable transportation options in regions where public transport may be limited. Moreover, the market is witnessing increased competition among different shared mobility providers, leading to innovative services and competitive pricing strategies to attract and retain customers.

Local special circumstances:
Bolivia's unique geographical landscape, with diverse terrains and varying levels of urbanization, presents both challenges and opportunities for shared mobility providers. In urban centers like La Paz and Santa Cruz, where traffic congestion is a significant issue, there is a higher demand for shared mobility services. On the other hand, in more rural areas, providers need to adapt their services to cater to the specific transportation needs of the local population.

Underlying macroeconomic factors:
The economic stability and growth in Bolivia play a crucial role in the development of the Shared Mobility market. As disposable incomes rise and the middle class expands, more consumers have the purchasing power to afford shared mobility services. Additionally, government initiatives to improve transportation infrastructure and regulations related to shared mobility are shaping the market dynamics 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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