Shared Mobility - Equatorial Guinea

  • Equatorial Guinea
  • Equatorial Guinea is expected to witness tremendous growth in the Shared Mobility market in the coming years.
  • By 2024, the revenue in this market is projected to reach US$114.40m, and it is expected to grow annually at a rate of 1.76% (CAGR 2024-2029).
  • This growth is anticipated to result in a projected market volume of US$124.80m by 2029.
  • Public Transportation is the largest market in the market, and it is expected to have a market volume of US$46.45m by 2024.
  • The number of Public Transportation users is expected to increase significantly, amounting to 1,308.00k users by 2029.
  • The user penetration rate is projected to rise from 83.7% in 2024 to 87.5% by 2029.
  • The average revenue per user (ARPU) is expected to remain steady at US$77.90.
  • By 2029, 42% of the total revenue in the Shared Mobility market is expected to be generated through online sales.
  • In a global comparison, China is projected to generate the most revenue, with US$365bn in 2024.
  • Despite its small market size, Equatorial Guinea has seen an increase in shared mobility options, including motorcycle taxis and carpooling services.

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

 
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Analyst Opinion

Shared Mobility services in Equatorial Guinea are experiencing a gradual but steady growth, driven by various factors unique to the country.

Customer preferences:
The population in Equatorial Guinea is increasingly looking for convenient and cost-effective transportation options, leading to a rise in demand for Shared Mobility services. Customers are drawn to the flexibility and affordability that these services offer, aligning with global trends towards shared and on-demand transportation solutions.

Trends in the market:
One of the notable trends in the Shared Mobility market in Equatorial Guinea is the emergence of local startups and entrepreneurs entering the sector to cater to the growing demand. This trend indicates a shift towards more localized and tailored services, reflecting the preferences of the local population. Additionally, partnerships between Shared Mobility providers and existing transportation companies are becoming more common, enhancing the reach and efficiency of these services.

Local special circumstances:
Equatorial Guinea's unique geographical and infrastructural challenges play a significant role in shaping the Shared Mobility market. The uneven distribution of population centers and limited public transportation options in certain areas create opportunities for Shared Mobility providers to fill the gaps in the market. Moreover, the country's growing urbanization rate is driving the need for efficient and sustainable transportation solutions, further boosting the demand for Shared Mobility services.

Underlying macroeconomic factors:
Economic factors such as rising disposable incomes and increasing urbanization contribute to the growth of the Shared Mobility market in Equatorial Guinea. As more people move to urban areas for employment and educational opportunities, the demand for convenient transportation services rises. Additionally, government initiatives to improve transportation infrastructure and reduce traffic congestion play a role in promoting Shared Mobility as a viable alternative to traditional modes of transport.

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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