Contact
Mon - Fri, 9am - 6pm (EST)
Mon - Fri, 9am - 5pm (SGT)
Mon - Fri, 10:00am - 6:00pm (JST)
Mon - Fri, 9:30am - 5pm (GMT)
Mon - Fri, 9am - 6pm (EST)
Key regions: Malaysia, Thailand, United States, Indonesia, South America
The Ride-hailing market in Malta has witnessed significant growth and development in recent years. Customer preferences, trends in the market, local special circumstances, and underlying macroeconomic factors have all contributed to this growth. Customer preferences in Malta have shifted towards convenience and efficiency, which has fueled the demand for ride-hailing services. With the rise of smartphone usage and the increasing need for on-demand transportation, customers are opting for ride-hailing platforms that provide a seamless and hassle-free experience. The ability to book a ride with just a few taps on a mobile app has become a preferred choice for many Maltese residents and tourists alike. Trends in the ride-hailing market in Malta are driven by both global and regional factors. The increasing urbanization and population density in major cities have led to a higher demand for transportation services. Additionally, the growing popularity of ride-sharing and carpooling has contributed to the expansion of the ride-hailing market. These trends have prompted ride-hailing companies to introduce innovative services and features, such as shared rides and loyalty programs, to attract and retain customers in the competitive market. Local special circumstances in Malta have also played a role in the development of the ride-hailing market. The small size of the country and limited public transportation options have created a niche for ride-hailing services. The convenience and flexibility offered by ride-hailing platforms have filled the gap in the transportation sector, especially for those who prefer not to own a car or rely on traditional taxis. Moreover, the increasing number of tourists visiting Malta has further boosted the demand for ride-hailing services, as they provide a convenient and reliable means of transportation for exploring the island. Underlying macroeconomic factors have contributed to the growth of the ride-hailing market in Malta. The country's strong economic performance and increasing disposable income have allowed more people to afford ride-hailing services. Additionally, the government's support for innovation and technology has created a favorable environment for ride-hailing companies to operate and expand their services. The regulatory framework in Malta has been adapted to accommodate ride-hailing platforms, ensuring fair competition and consumer protection. In conclusion, the Ride-hailing market in Malta has experienced significant growth due to customer preferences for convenience and efficiency, global and regional trends in the industry, local special circumstances, and underlying macroeconomic factors. The market is expected to continue its upward trajectory as more people embrace the benefits of ride-hailing services in the country.
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.Mon - Fri, 9am - 6pm (EST)
Mon - Fri, 9am - 5pm (SGT)
Mon - Fri, 10:00am - 6:00pm (JST)
Mon - Fri, 9:30am - 5pm (GMT)
Mon - Fri, 9am - 6pm (EST)