Cruises - Slovenia

  • Slovenia
  • By 2024, the projected revenue in the Cruises market in Slovenia is expected to reach US$3.22m.
  • The revenue is anticipated to demonstrate an annual growth rate (CAGR 2024-2029) of 2.14%, leading to a projected market volume of US$3.58m by 2029.
  • Furthermore, the number of users in the Cruises market is expected to increase to 4.63k users by 2029.
  • The user penetration rate is expected to rise from 0.15% in 2024 to 0.22% by 2029.
  • The average revenue per user (ARPU) is expected to be US$1.00k.
  • It is projected that 26% of the total revenue in the Cruises market in Slovenia will be generated through online sales by 2029.
  • Lastly, in comparison to other countries, United States is expected to generate the highest revenue of US$24,700m in the year 2024.
  • Although Slovenia does not have a direct access to the sea, its proximity to major Mediterranean ports makes it a potential market for cruises.

Key regions: Indonesia, Singapore, United States, India, Vietnam

 
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Analyst Opinion

The Cruises market in Slovenia has been experiencing a steady growth in recent years, reflecting the global trend of increasing interest in cruise travel.

Customer preferences:
Slovenian customers are showing a growing preference for cruise vacations due to the convenience and all-inclusive nature of such trips. The opportunity to visit multiple destinations in one trip, combined with on-board amenities and entertainment options, appeals to travelers seeking a hassle-free holiday experience.

Trends in the market:
One noticeable trend in the Slovenian Cruises market is the rising demand for river cruises. With Slovenia's picturesque waterways and proximity to popular European river cruise routes, more travelers are opting for this scenic and leisurely way of exploring the region. Additionally, themed cruises focusing on wellness, gastronomy, or adventure activities are gaining popularity among Slovenian tourists looking for unique and tailored experiences.

Local special circumstances:
Slovenia's strategic location at the crossroads of Central and Southeast Europe makes it an attractive starting point or stopover for cruise itineraries in the Adriatic Sea and beyond. The country's small size and well-developed infrastructure also contribute to the ease of access to ports and embarkation points, enhancing the overall appeal of cruises as a convenient travel option for Slovenian holidaymakers.

Underlying macroeconomic factors:
The growing economy and increasing disposable income levels in Slovenia have made cruise vacations more affordable and accessible to a larger segment of the population. As a result, more middle-class consumers are now able to consider cruises as a viable holiday choice, driving the expansion of the Cruises market in the country. Additionally, the government's efforts to promote tourism and improve transportation links have further boosted the attractiveness of cruise travel among Slovenian tourists.

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
  • Global Comparison
  • Methodology
  • Key Market Indicators
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