Vacation Rentals - Poland

Poland

Highlights

By 2024, the Vacation Rentals market in Poland is expected to generate a revenue of US$600.60m.
It is projected that the market will grow at a Compound Annual Growth Rate (CAGR) of 4.54% between 2024 and 2029, resulting in a market volume of US$749.80m by 2029.
In the same period, the number of users is expected to increase to 6.41m users.
User penetration, which is currently at 15.0%, is expected to reach 16.5% in 2029.
The average revenue per user (ARPU) is expected to be US$99.39.
In 2029, it is projected that 83% of the total Vacation Rentals market revenue in Poland will be generated through online sales.
It is interesting to note that in global comparison, United States is expected to generate the highest revenue in this market, with a projected revenue of US$20bn in 2024.
Poland's Vacation Rentals market is seeing an increase in demand for traditional cottages and farmhouses in rural areas, as travelers seek authentic cultural experiences.

Key regions:

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

The Vacation Rentals market in Poland has been experiencing a significant growth in recent years, attracting both domestic and international travelers.

Customer preferences: Travelers in Poland are increasingly opting for vacation rentals over traditional hotels due to the flexibility, privacy, and cost-effectiveness they offer. The desire for unique and authentic experiences has also driven the demand for vacation rentals in Poland, as travelers seek to immerse themselves in the local culture and lifestyle.

Trends in the market: One notable trend in the Vacation Rentals market in Poland is the rise of online platforms and booking websites, making it easier for travelers to find and book vacation rental properties. Additionally, there has been a growing interest in eco-friendly and sustainable accommodations, with many vacation rental owners in Poland implementing green practices to attract environmentally conscious travelers.

Local special circumstances: Poland's rich cultural heritage, diverse landscapes, and historical attractions make it a popular destination for travelers seeking a mix of adventure, relaxation, and cultural experiences. The country's picturesque countryside, charming villages, and vibrant cities offer a wide range of vacation rental options to suit different preferences and budgets.

Underlying macroeconomic factors: The growth of the Vacation Rentals market in Poland can also be attributed to the overall increase in tourism in the country, driven by factors such as improved infrastructure, better connectivity, and government initiatives to promote tourism. Additionally, the growing middle class and rising disposable incomes have made travel more accessible to a larger segment of the population, contributing to the demand for vacation rentals.

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.