Vacation Rentals - Netherlands

Netherlands

Highlights

The Netherlands is projected to witness a significant growth in the Vacation Rentals market revenue in the upcoming years.
According to the report, the revenue is expected to reach US$1.84bn by 2024, with an annual growth rate of 3.55% between 2024 and 2029, resulting in a projected market volume of US$2.20bn by 2029.
Furthermore, the number of users is expected to increase up to 6.40m users by 2029, with a user penetration of 33.1% in 2024, which is expected to reach 35.8% by 2029.
It is estimated that the average revenue per user (ARPU) will be US$315.30 in the Netherlands.
Additionally, it is projected that 80% of the total revenue in the Vacation Rentals market will be generated through online sales by 2029.
Finally, in global comparison, United States is expected to generate the most revenue in the Vacation Rentals market, with US$20bn in 2024.
The Netherlands' Vacation Rentals market is seeing a rise in eco-friendly accommodations, with a focus on sustainability and nature.

Key regions:

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

The Vacation Rentals market in Netherlands is experiencing a significant growth trajectory, driven by various factors influencing customer preferences, market trends, and local special circumstances.

Customer preferences: Travelers in Netherlands are increasingly opting for vacation rentals over traditional hotels due to the desire for more personalized and unique accommodation experiences. The flexibility, space, and amenities offered by vacation rentals cater to the evolving needs of modern travelers seeking a home-away-from-home environment.

Trends in the market: One prominent trend in the Vacation Rentals market in Netherlands is the rise of online booking platforms and digital travel agencies. These platforms provide a convenient way for travelers to discover, compare, and book vacation rental properties, contributing to the market's expansion. Additionally, the growing popularity of eco-friendly and sustainable travel practices is influencing the choice of vacation rentals that prioritize environmental conservation.

Local special circumstances: Netherlands' diverse landscape, including picturesque countryside, historic cities, and coastal regions, offers a wide range of vacation rental options to cater to different traveler preferences. The presence of unique accommodations such as houseboats, windmills, and farmhouses adds a distinct charm to the vacation rental market in the country, attracting both domestic and international tourists.

Underlying macroeconomic factors: The stable economic environment in Netherlands, coupled with increasing disposable incomes and a growing tourism sector, is fueling the demand for vacation rentals. Moreover, government initiatives to promote tourism and sustainable travel practices are further propelling the growth of the Vacation Rentals market in the country. The favorable regulatory framework and emphasis on maintaining high-quality standards in the accommodation sector also contribute to the overall development of the market.

Data coverage:

The data encompasses B2C enterprises. Figures are based on bookings, revenues, and sales channels of vacation rentals.

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, the Global Consumer Survey, third-party studies and reports, data from industry associations (e.g., UNWTO), and price data of major players in respective markets. 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 country-related GDP, demographic data (e.g., population), tourism spending, consumer spending, internet penetration, and device penetration. 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, and exponential trend smoothing methods are applied. A k-means cluster analysis allows for the estimation of similar countries. The main drivers are tourism GDP per capita and respective price indices.

Additional notes:

The data is modeled using current exchange rates. The market is updated twice a year in case market dynamics change.