Vacation Rentals - Slovenia

  • Slovenia
  • Slovenia is expected to witness a promising growth trajectory in the Vacation Rentals market, with revenue projected to reach US$101.70m by 2024.
  • The market is further expected to grow at an annual growth rate (CAGR 2024-2029) of 2.44%, which will result in a market volume of US$114.70m by 2029.
  • As for the number of users, it is expected to amount to 0.84m users by 2029.
  • In 2024, user penetration is estimated to be 36.2% and is expected to increase to 39.7% by 2029.
  • The average revenue per user (ARPU) is expected to be US$132.70.
  • Moreover, it is projected that online sales will contribute to 83% of the total revenue in the Vacation Rentals market by 2029.
  • It is worth noting that United States is the country expected to generate the most revenue in the global comparison, with revenue reaching US$20,270m in 2024.
  • Slovenia's Vacation Rentals market is growing rapidly, with a focus on eco-friendly properties in stunning natural locations.

Key regions: India, Vietnam, Saudi Arabia, Singapore, Germany

 
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Analyst Opinion

Amidst the picturesque landscapes and rich cultural heritage of Slovenia, the Vacation Rentals market is experiencing significant growth and evolution.

Customer preferences:
Travelers in Slovenia are increasingly seeking unique and authentic experiences, opting for vacation rentals that offer a more personalized and immersive stay. The demand for properties with local charm and character is on the rise, as visitors look to connect with the culture and traditions of the region.

Trends in the market:
One notable trend in the Slovenian Vacation Rentals market is the growing popularity of eco-friendly and sustainable accommodations. Travelers are showing a preference for properties that prioritize environmental conservation and promote responsible tourism practices. This trend aligns with the global shift towards sustainable travel and eco-conscious consumer behavior.

Local special circumstances:
Slovenia's diverse natural landscapes, including the stunning Julian Alps, pristine lakes, and lush forests, play a significant role in shaping the Vacation Rentals market. Properties located in close proximity to outdoor recreational activities such as hiking, skiing, and water sports are in high demand, attracting nature enthusiasts and adventure seekers.

Underlying macroeconomic factors:
The increasing influx of international tourists to Slovenia, drawn by its natural beauty and cultural attractions, is driving growth in the Vacation Rentals market. The country's stable economy and infrastructure development have also contributed to the expansion of accommodation options, catering to the diverse needs and preferences of travelers. Additionally, government initiatives to promote tourism and sustainable practices are further fueling the growth of the Vacation Rentals market in Slovenia.

Methodology

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.

Overview

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