Hotels - Austria

  • Austria
  • By 2024, the projected revenue of the Hotels market in Austria is expected to reach US$2.48bn.
  • It is estimated that the revenue will grow annually at a rate of 4.16%, resulting in a market volume of US$3.04bn by 2029.
  • The number of users in the Hotels market is anticipated to reach 5.84m users by 2029.
  • In 2024, the user penetration rate is expected to be 55.5%, which is projected to increase to 64.5% by 2029.
  • The average revenue per user (ARPU) is expected to be US$0.50k.
  • It is estimated that 86% of total revenue in the Hotels market will be generated through online sales by 2029.
  • In comparison to the rest of the world, United States is expected to generate the most revenue, with US$110,600m in 2024.
  • Austria's hotel market is seeing a trend towards eco-friendly accommodations, with many hotels adopting sustainable practices and using organic and local products.

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

 
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Analyst Opinion

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

Customer preferences:
Travelers in Austria are increasingly seeking unique and authentic experiences, leading to a rise in demand for boutique hotels and eco-friendly accommodations. Visitors are also placing a strong emphasis on wellness and relaxation, driving the popularity of spa hotels in the region.

Trends in the market:
One notable trend in the Austrian Hotels market is the increasing use of technology to enhance the guest experience. Many hotels are implementing mobile check-in services, smart room features, and personalized recommendations based on guest preferences. Additionally, there is a growing trend towards sustainable practices, with hotels focusing on reducing their environmental impact through energy-efficient measures and waste reduction initiatives.

Local special circumstances:
Austria's rich cultural heritage and stunning natural landscapes make it a popular tourist destination year-round. The country's diverse offering of outdoor activities, cultural events, and culinary experiences attracts a wide range of travelers, contributing to the growth of the Hotels market. Additionally, Austria's strong reputation for hospitality and high service standards further drive the demand for accommodations in the region.

Underlying macroeconomic factors:
The stable economic environment in Austria, coupled with increasing disposable incomes and a growing tourism sector, has positively impacted the Hotels market. The country's strategic location in the heart of Europe also plays a role in attracting both leisure and business travelers, further fueling the demand for hotel accommodations. Additionally, government initiatives to promote tourism and infrastructure development have supported the growth of the Hotels market in Austria.

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
  • User Demographics
  • Global Comparison
  • Hotel Star Rating
  • Methodology
  • Key Market Indicators
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