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: United States, Saudi Arabia, Thailand, South America, Malaysia
The Car Rentals market in Netherlands has been experiencing significant growth in recent years, driven by various factors such as changing customer preferences, emerging trends in the market, local special circumstances, and underlying macroeconomic factors. Customer preferences in the Car Rentals market in Netherlands have shifted towards convenience and flexibility. With an increasing number of people opting for public transportation and cycling for their daily commute, there is a growing demand for car rentals for short-term use. This trend is particularly evident in urban areas where car ownership is less common and parking spaces are limited. Additionally, tourists visiting Netherlands also prefer renting cars to explore the country at their own pace and convenience. Trends in the Car Rentals market in Netherlands reflect the changing consumer preferences. One notable trend is the rise of app-based car rental services, which offer a seamless and convenient booking experience. These services allow customers to easily compare prices, choose from a wide range of vehicles, and make reservations on-the-go. Another trend is the increasing popularity of eco-friendly and electric vehicles in the rental market. As sustainability becomes a key concern, both locals and tourists are opting for environmentally friendly transportation options. Local special circumstances also play a role in the development of the Car Rentals market in Netherlands. The country's well-developed infrastructure, including an extensive road network and efficient public transportation system, makes it easy for car rental companies to operate and cater to a wide range of customers. Moreover, Netherlands is known for its tourism industry, attracting millions of visitors each year. This creates a significant demand for car rentals, especially during peak tourist seasons. Underlying macroeconomic factors also contribute to the growth of the Car Rentals market in Netherlands. The country's stable economy and high disposable income levels enable more people to afford car rentals for leisure and business purposes. Additionally, the increasing number of international conferences, exhibitions, and events hosted in Netherlands drives the demand for car rentals among business travelers. In conclusion, the Car Rentals market in Netherlands is witnessing growth due to changing customer preferences, emerging trends, local special circumstances, and underlying macroeconomic factors. The convenience and flexibility offered by car rentals, along with the rise of app-based services and eco-friendly vehicles, are driving the market forward. The well-developed infrastructure and thriving tourism industry in Netherlands further contribute to the market's growth.
Data coverage:
The data encompasses B2C enterprises. Figures are based on bookings, revenues, and online shares of car rental 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)