Cruises - Poland

  • Poland
  • The projected revenue for the Cruises market in Poland is estimated to reach US$23.48m by 2024.
  • It is expected to witness an annual growth rate of 7.86% (CAGR 2024-2028) resulting in a projected market volume of US$31.78m by 2028.
  • By 2028, it is expected that the number of users in the Cruises market will reach 33.90k users.
  • The user penetration rate is expected to increase from 0.07% in 2024 to 0.09% by 2028.
  • The average revenue per user (ARPU) is projected to be US$0.90k.
  • In the Cruises market of Poland, online sales are expected to generate 22% of the total revenue by 2028.
  • As per the global comparison, United States is expected to generate the most revenue of US$15,160m in 2024 in the Cruises market.
  • Although Poland is not a major player in the cruise market, the growing interest in Baltic Sea itineraries may increase the country's role in the future.

Key regions: Germany, Singapore, Indonesia, India, Vietnam

 
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Analyst Opinion

The Cruises market in Poland has been experiencing a steady growth in recent years, reflecting the increasing popularity of cruise vacations among Polish travelers.

Customer preferences:
Polish travelers are increasingly drawn to cruise vacations due to the convenience and all-inclusive nature of such trips. The opportunity to visit multiple destinations in one journey appeals to customers looking for diverse travel experiences. Additionally, the luxury and entertainment options offered by cruise ships cater to the preferences of travelers seeking a relaxing and indulgent holiday.

Trends in the market:
One notable trend in the Cruises market in Poland is the growing demand for river cruises. Polish travelers are showing a preference for exploring picturesque river routes, such as the Danube or Rhine, which offer a unique perspective on Europe's cultural heritage. River cruises are also perceived as more intimate and immersive, attracting customers looking for a more personalized travel experience.

Local special circumstances:
Poland's geographical location and improving infrastructure have made it a convenient hub for cruise departures and arrivals. The country's access to the Baltic Sea and proximity to popular cruise destinations in Northern Europe have contributed to the growth of the Cruises market. Additionally, the development of modern port facilities in cities like Gdansk and Gdynia has enhanced Poland's appeal as a cruise destination.

Underlying macroeconomic factors:
The increasing disposable income and changing lifestyles of Polish consumers have played a significant role in driving the growth of the Cruises market. As more Poles prioritize experiences and travel, the demand for cruise vacations is expected to continue rising. Furthermore, the overall economic stability and favorable exchange rates have made cruise holidays more affordable for Polish travelers, further fueling the market's expansion.

Methodology

Data coverage:

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

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.

Overview

  • Revenue
  • Key Players
  • Sales Channels
  • Analyst Opinion
  • Users
  • User Demographics
  • Global Comparison
  • Methodology
  • Key Market Indicators
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