Package Holidays - Slovenia

  • Slovenia
  • By 2024, the Package Holidays market in Slovenia is expected to earn a revenue of US$0.62bn.
  • It is forecasted to have a Compound Annual Growth Rate (CAGR 2024-2029) of 3.04%, resulting in a market volume projection of US$0.72bn by 2029.
  • The number of users in this market is expected to reach 487.90k users by 2029, with a user penetration of 20.9% in 2024 and a projected increase to 23.1% by 2029.
  • The average revenue per user (ARPU) is expected to be US$1.40k.
  • Moreover, 25% of the total revenue in the Package Holidays market is expected to be generated through online sales by 2029.
  • It is noteworthy that in a global comparison, China is expected to generate the most revenue in this market, with a projection of US$49,250m in 2024.
  • Slovenia's package holiday market is experiencing growth due to its picturesque landscapes and cultural attractions.

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

 
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Analyst Opinion

The Package Holidays market in Slovenia is experiencing a significant growth trajectory driven by various factors.

Customer preferences:
Travelers in Slovenia are increasingly opting for package holidays due to the convenience and cost-effectiveness they offer. With busy lifestyles, customers appreciate the all-inclusive nature of package holidays, which saves them time and effort in planning and booking each component separately. Moreover, the assurance of a pre-arranged itinerary and accommodations provides a sense of security for travelers.

Trends in the market:
One notable trend in the Slovenian Package Holidays market is the rising demand for eco-friendly and sustainable travel options. Travelers are becoming more environmentally conscious and are actively seeking holiday packages that promote responsible tourism practices. This trend is influencing tour operators to include eco-friendly accommodations, activities, and transportation options in their package offerings to cater to this growing segment of the market.

Local special circumstances:
Slovenia's diverse natural landscapes, including the picturesque Julian Alps, stunning lakes, and charming coastal towns, make it an attractive destination for package holidays. The country's rich cultural heritage, delicious cuisine, and outdoor recreational opportunities further contribute to its appeal among travelers. Additionally, Slovenia's compact size allows tourists to explore multiple attractions conveniently within a short period, making it an ideal destination for packaged travel experiences.

Underlying macroeconomic factors:
The growing economy in Slovenia, coupled with increasing disposable incomes among its residents, is playing a crucial role in driving the demand for package holidays. As more people have the financial means to travel, the willingness to spend on curated holiday experiences is on the rise. Additionally, the government's efforts to promote tourism and improve infrastructure further support the development of the Package Holidays market in Slovenia.

Methodology

Data coverage:

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

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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