Key regions: United States, Indonesia, China, Saudi Arabia, Europe
The Public Transportation market in Africa has been experiencing significant growth in recent years. Customer preferences, trends in the market, local special circumstances, and underlying macroeconomic factors are all contributing to this development. Customer preferences in Africa are shifting towards more sustainable and efficient modes of transportation. As urbanization increases and populations grow, there is a greater need for reliable and affordable public transportation options. Customers are looking for systems that can alleviate traffic congestion, reduce pollution, and provide convenient access to employment centers, schools, and other key destinations. Additionally, with the rise of digital technology, customers are increasingly demanding services that offer real-time information, mobile ticketing, and seamless integration with other modes of transportation. Trends in the market reflect these changing customer preferences. African cities are investing in the development of modern public transportation systems, including bus rapid transit (BRT) networks, light rail systems, and metro lines. These systems are designed to provide efficient, reliable, and affordable transportation options for both urban and peri-urban areas. In addition, there is a growing focus on integrating different modes of transportation, such as buses, taxis, and bicycles, to create a seamless and interconnected network. Local special circumstances also play a role in the development of the Public Transportation market in Africa. Many African countries face unique challenges, such as limited infrastructure, informal transportation systems, and low levels of car ownership. These circumstances create opportunities for public transportation providers to fill the gap and meet the growing demand for mobility. Additionally, some countries are leveraging partnerships with international organizations and private sector companies to accelerate the development of public transportation systems. Underlying macroeconomic factors are also driving the growth of the Public Transportation market in Africa. Economic growth, urbanization, and population growth are all contributing to increased demand for transportation services. As African economies continue to develop and incomes rise, more people are able to afford public transportation. Furthermore, governments and international organizations are providing financial support and technical assistance to help fund and implement public transportation projects. In conclusion, the Public Transportation market in Africa is experiencing significant growth due to changing customer preferences, trends in the market, local special circumstances, and underlying macroeconomic factors. As African countries continue to invest in modern and sustainable transportation systems, the market is expected to further expand in the coming years.
Data coverage:
The data encompasses B2C enterprises. Figures are based on bookings, revenues, and online shares of public transportation.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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