Hotels - Slovenia

  • Slovenia
  • It is projected that the Hotels market in Slovenia will reach a revenue of US$322.20m by 2024.
  • Moreover, it is expected to show an annual growth rate (CAGR 2024-2029) of 2.89%, leading to a projected market volume of US$371.50m by 2029.
  • By then, the number of users is expected to amount to 1.38m users, indicating a user penetration of 65.4%, up from 52.8% in 2024.
  • The average revenue per user (ARPU) is expected to be US$288.10.
  • By 2029, it is projected that 85% of the total revenue in the Hotels market will be generated through online sales.
  • When compared globally, United States is expected to generate the most revenue in the Hotels market, with a projected revenue of US$110,600m in 2024.
  • Slovenia's hotel market is experiencing growth due to its picturesque landscape and rising interest in eco-friendly accommodations.

Key regions: Vietnam, Indonesia, United Kingdom, Malaysia, Saudi Arabia

 
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Analyst Opinion

The Hotels market in Slovenia is experiencing a steady growth trajectory driven by various factors.

Customer preferences:
Travelers in Slovenia are increasingly seeking unique and authentic experiences, leading to a rise in demand for boutique hotels and eco-friendly accommodations. Tourists are also showing a preference for hotels that offer wellness facilities and outdoor activities, catering to the country's natural beauty and emphasis on health and well-being.

Trends in the market:
One notable trend in the Slovenian Hotels market is the increasing popularity of agrotourism, where tourists stay in rural farmsteads or countryside estates to experience local culture and traditions. This trend aligns with the growing global interest in sustainable and experiential travel, offering visitors a chance to connect with nature and support local communities.

Local special circumstances:
Slovenia's unique geographical position, nestled between the Alps and the Adriatic Sea, makes it an attractive destination for both summer and winter tourism. This diversity allows hotels in Slovenia to cater to a wide range of preferences, from mountain retreats for skiing enthusiasts to coastal resorts for sun-seekers. The country's rich cultural heritage and culinary scene further contribute to its appeal among international travelers.

Underlying macroeconomic factors:
The stability of Slovenia's economy and its increasing integration into the European market have positively impacted the Hotels sector. As disposable incomes rise and consumer confidence grows, more people are willing to spend on travel and accommodation, driving the demand for hotels in the country. Additionally, government initiatives to promote tourism and infrastructure development have further supported the growth of the Hotels market in Slovenia.

Methodology

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.

Overview

  • Revenue
  • Sales Channels
  • Analyst Opinion
  • Users
  • Global Comparison
  • Hotel Star Rating
  • Methodology
  • Key Market Indicators
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