Package Holidays - Croatia

Croatia

Highlights

By 2024, the projected revenue in the Package Holidays market in Croatia is expected to reach US$535.60m.
Moreover, the market volume is expected to grow annually at a rate of 4.54% (CAGR 2024-2029), resulting in a projected market volume of US$668.60m by 2029.
In the same market, the number of users is expected to reach 694.40k users by 2029.
As for user penetration, it is expected to increase from 16.4% in 2024 to 17.9% by 2029.
Additionally, the average revenue per user (ARPU) is expected to be US$819.70.
Notably, 52% of the total revenue in the Package Holidays market is expected to come from online sales by 2029.
In comparison to other countries, China is expected to generate the most revenue in the Package Holidays market, with a projected revenue of US$49bn by 2024.
Croatia's package holiday market is seeing a rise in popularity due to its stunning coastline, rich history, and affordable prices.

Key regions:

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

Croatia, known for its stunning coastline along the Adriatic Sea and rich cultural heritage, has seen a significant growth in the Package Holidays market in recent years.

Customer preferences: Travelers in Croatia are increasingly seeking convenience and hassle-free experiences when planning their vacations. This has led to a rise in the popularity of package holidays, which offer all-inclusive deals that cover accommodation, meals, and activities. Tourists are drawn to the simplicity and affordability of these packages, allowing them to enjoy a stress-free holiday without the need to plan every detail themselves.

Trends in the market: One notable trend in the Package Holidays market in Croatia is the diversification of offerings to cater to different types of travelers. From family-friendly resorts with kid-friendly amenities to luxury packages for discerning travelers, the market has expanded to accommodate a wide range of preferences. Additionally, there has been a growing interest in eco-friendly and sustainable tourism, prompting tour operators to incorporate more environmentally conscious practices into their packages.

Local special circumstances: Croatia's unique geographical location and natural beauty play a significant role in shaping the Package Holidays market. The country's picturesque islands, historic cities, and pristine national parks attract tourists from around the world, making it a desirable destination for package holidays. The local cuisine, rich cultural heritage, and warm hospitality of the Croatian people also contribute to the overall appeal of package holidays in the region.

Underlying macroeconomic factors: The stability of Croatia's economy and the growth of its tourism industry have created a favorable environment for the development of the Package Holidays market. As disposable incomes rise and consumer confidence improves, more people are willing to invest in travel experiences, driving the demand for package holidays. Additionally, government initiatives to promote tourism and improve infrastructure have further boosted the attractiveness of Croatia as a holiday destination.

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.