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Lu - vi, 9:00 - 18:00 h (EST)
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Key regions: South America, Europe, China, Saudi Arabia, Malaysia
The Ride-hailing market in Netherlands has been experiencing significant growth in recent years, driven by changing customer preferences, emerging trends, and local special circumstances. Customer preferences in the Netherlands have shifted towards more convenient and flexible transportation options, which has fueled the demand for ride-hailing services. Customers are increasingly looking for on-demand transportation solutions that offer ease of booking, shorter waiting times, and transparent pricing. Ride-hailing platforms have been able to meet these preferences by providing user-friendly mobile applications, real-time tracking, and competitive pricing models. Additionally, the growing popularity of ride-hailing services among younger generations has also contributed to the market's expansion. Trends in the market indicate a strong growth trajectory for ride-hailing services in the Netherlands. The market has witnessed the entry of several international ride-hailing companies, which has intensified competition and led to innovation in service offerings. These companies have introduced new features such as shared rides, electric vehicles, and loyalty programs to attract and retain customers. Furthermore, ride-hailing platforms have expanded their services beyond urban areas to cater to suburban and rural communities, thereby widening their customer base. Local special circumstances in the Netherlands have also played a role in the development of the ride-hailing market. The country has a well-developed transportation infrastructure, including an extensive network of bike lanes and public transportation systems. However, factors such as unpredictable weather conditions and limited parking spaces have made ride-hailing services an attractive alternative for many residents. Moreover, the Netherlands has a large population of expatriates and tourists who rely on ride-hailing services for their transportation needs, further driving market growth. Underlying macroeconomic factors have also contributed to the growth of the ride-hailing market in the Netherlands. The country has a strong economy and high disposable income levels, which have increased the affordability of ride-hailing services for a larger segment of the population. Additionally, the government's support for sustainable transportation solutions and the promotion of electric vehicles have created a favorable environment for ride-hailing platforms to expand their operations. In conclusion, the Ride-hailing market in Netherlands is experiencing significant growth due to changing customer preferences, emerging trends, local special circumstances, and underlying macroeconomic factors. The market is expected to continue expanding as ride-hailing platforms innovate and adapt to meet the evolving needs of customers 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.Lu - vi, 9:30 - 17:00 h (CET)
Lu - vi, 9:00 - 18:00 h (EST)
Lu - vi, 9:00 - 17:00 h (SGT)
Lu - vi, 10:00 - 18:00 h (JST)
Lu - vi, 9:30 - 17:00 h (GMT)
Lu - vi, 9:00am-6:00pm (EST)