Hotels - Poland | Statista Market Forecast

Hotels - Poland

Poland

Highlights

It is projected that the Hotels market in Poland will reach a revenue of US$2.20bn by 2024.
Furthermore, a compound annual growth rate (CAGR 2024-2029) of 4.77% is expected to be observed, resulting in a projected market volume of US$2.77bn by 2029.
Additionally, it is estimated that the number of users in this market will reach 10.24m users by 2029.
The user penetration rate is expected to increase from 20.9% in 2024 to 26.4% by 2029.
The average revenue per user (ARPU) is projected to be US$261.20.
Moreover, it is expected that 86% of the total revenue in this market will be generated through online sales by 2029.
It is worth noting that United States is expected to generate the highest revenue in the global comparison, amounting to US$111bn in 2024.
Despite the COVID-19 pandemic, Poland's hotel industry is showing resilience and adapting to new safety measures to provide a comfortable stay for guests.

Key regions:

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

Poland's Hotels market is currently witnessing a significant growth trajectory, driven by various factors influencing customer preferences, market trends, and local special circumstances.

Customer preferences: In Poland, customers are increasingly leaning towards unique and personalized hotel experiences. They seek accommodation options that offer not only comfort and convenience but also a sense of local culture and authenticity. As a result, boutique hotels and eco-friendly accommodations are gaining popularity among travelers looking for more intimate and sustainable lodging options.

Trends in the market: One prominent trend in the Polish Hotels market is the rise of digitalization and technology integration. Hotels are investing in smart room features, online booking platforms, and mobile check-in services to enhance the overall guest experience and streamline operations. Additionally, there is a growing demand for wellness and spa facilities within hotels as travelers prioritize health and relaxation during their stays.

Local special circumstances: Poland's unique cultural heritage and diverse landscapes play a crucial role in shaping the Hotels market. The country's rich history, vibrant cities, and picturesque countryside attract a wide range of domestic and international tourists, leading to a diverse hotel offering catering to various preferences and budgets. Moreover, Poland's strategic location in Central Europe makes it a convenient hub for travelers exploring the region, further driving the demand for accommodation options.

Underlying macroeconomic factors: The Hotels market in Poland is also influenced by macroeconomic factors such as GDP growth, tourism trends, and government policies. As the economy continues to expand, disposable incomes rise, leading to increased domestic travel and tourism expenditure. Furthermore, government initiatives to promote the tourism sector and improve infrastructure contribute to the overall growth and development of the Hotels market in Poland.

Data coverage:

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

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.