Key regions: United States, Saudi Arabia, Germany, Malaysia, India
The Shared Mobility market in Ivory Coast has been witnessing significant growth and evolution in recent years.
Customer preferences: Customers in Ivory Coast are increasingly looking for convenient and cost-effective transportation options, which has led to a surge in demand for shared mobility services. The younger population, in particular, is more inclined towards shared mobility due to its flexibility and affordability compared to traditional transportation methods.
Trends in the market: One of the prominent trends in the Shared Mobility market in Ivory Coast is the rise of motorcycle taxis as a popular mode of transportation. This trend is driven by the country's traffic congestion and the need for quick and efficient travel solutions. Additionally, the introduction of ride-hailing services has further expanded the shared mobility options available to consumers in Ivory Coast.
Local special circumstances: Ivory Coast's urban centers, such as Abidjan, face challenges related to traffic congestion and limited public transportation infrastructure. These factors have created a conducive environment for the growth of shared mobility services in the country. Moreover, the government's efforts to promote sustainable transportation solutions have also played a role in shaping the Shared Mobility market in Ivory Coast.
Underlying macroeconomic factors: The growing urbanization and increasing disposable income levels in Ivory Coast have contributed to the expansion of the Shared Mobility market. As more people move to urban areas in search of better opportunities, the demand for efficient transportation services continues to rise. Additionally, the proliferation of smartphones and digital payment systems has made it easier for consumers to access and pay for shared mobility services, further driving market growth.
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.
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