Key regions: Malaysia, Thailand, United States, Indonesia, South America
The Ride-hailing market in Poland has experienced significant growth in recent years, driven by changing customer preferences and the availability of innovative technology.
Customer preferences: Customers in Poland are increasingly turning to ride-hailing services as a convenient and cost-effective alternative to traditional taxis. The ability to book a ride through a mobile app and track the driver's location in real-time has made the process of getting a ride much more seamless and efficient. Additionally, ride-hailing services often offer competitive pricing and a variety of vehicle options to cater to different customer needs and budgets.
Trends in the market: One of the key trends in the ride-hailing market in Poland is the rise of local players. While international ride-hailing companies have a presence in the country, local companies have gained significant market share by offering tailored services that cater to the specific needs of Polish customers. These local players understand the local market dynamics and have adapted their offerings accordingly, which has resonated well with customers. Another trend in the market is the increasing popularity of ride-hailing services in smaller cities and rural areas. Initially, ride-hailing services were mainly concentrated in major cities, but they have now expanded their operations to reach customers in smaller towns and rural areas. This expansion has been facilitated by the growing availability of smartphones and internet connectivity, which has made it easier for customers in these areas to access ride-hailing services.
Local special circumstances: Poland has a well-developed public transportation system, with extensive bus and tram networks in major cities. However, there are certain situations where ride-hailing services offer a more convenient option. For example, during late-night hours when public transportation options are limited, or when customers have to travel to areas that are not well-served by public transportation. Additionally, ride-hailing services are often preferred by tourists and visitors who are unfamiliar with the local transportation system.
Underlying macroeconomic factors: The growth of the ride-hailing market in Poland is also influenced by underlying macroeconomic factors. Poland has experienced steady economic growth in recent years, which has led to an increase in disposable income levels. As a result, more people are able to afford ride-hailing services and are willing to spend money on convenience and comfort. Furthermore, the high rate of smartphone penetration in Poland has made it easier for customers to access ride-hailing services and has contributed to the growth of the market. In conclusion, the ride-hailing market in Poland is developing rapidly due to changing customer preferences, the rise of local players, the expansion of services to smaller cities and rural areas, and underlying macroeconomic factors. As the market continues to evolve, it will be interesting to see how ride-hailing companies adapt to meet the evolving needs of Polish customers and navigate the competitive landscape.
Data coverage:
The data encompasses B2C enterprises. Figures are based on bookings and revenues of ride-hailing services.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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