Package Holidays - Austria

Austria

Highlights

Austria is expected to see a significant boost in its Package Holidays market revenue, with a projection of US$2.79bn in 2024.
The market is further expected to grow at an annual growth rate (CAGR 2024-2029) of 3.23%, reaching a projected market volume of US$3.27bn by 2029.
By then, the number of users is expected to reach 3.38m users in Austria, with a user penetration rate of 37.4%, a slight increase from the 34.6% in 2024.
The average revenue per user (ARPU) is expected to be US$896.50.
In terms of sales, in Austria is predicted to generate 72% of total revenue through online sales in the Package Holidays market by 2029.
It is worth noting that in global comparison, China is expected to generate the most revenue, with a projection of US$49bn in 2024.
Austria's package holiday market is thriving, with a focus on luxury ski resorts and wellness retreats in the Alps.

Key regions:

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

The Package Holidays market in Austria has been experiencing significant growth and development in recent years.

Customer preferences: Austrian consumers are increasingly valuing convenience and hassle-free travel experiences, leading to a growing demand for package holidays. The all-inclusive nature of package holidays, which typically include flights, accommodation, meals, and activities, appeals to busy individuals and families looking for a seamless vacation experience without the need to plan every detail themselves.

Trends in the market: One notable trend in the Austrian Package Holidays market is the rise of personalized and tailored packages to cater to diverse customer needs. Tour operators and travel agencies are offering more flexibility in terms of destinations, activities, and accommodation options within their package deals, allowing travelers to customize their holidays to suit their preferences. This trend is driven by the desire for unique and authentic travel experiences among Austrian consumers.

Local special circumstances: Austria's strategic location in the heart of Europe makes it an attractive destination for both domestic and international tourists. The country's stunning alpine landscapes, rich cultural heritage, and world-class ski resorts contribute to its popularity as a holiday destination. The availability of a wide range of package holiday options, from mountain retreats to city breaks, caters to the diverse interests of travelers visiting Austria.

Underlying macroeconomic factors: The stable economic environment in Austria, coupled with increasing disposable incomes among the population, has contributed to the growth of the Package Holidays market. As consumers feel more financially secure, they are more willing to invest in travel experiences, including packaged holidays that offer convenience and value for money. Additionally, the strong emphasis on tourism by the Austrian government and industry stakeholders has further boosted the development of the package holiday sector in the country.

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.