Hotels - Germany | Statista Market Forecast

Hotels - Germany

Germany

Highlights

Germany is expected to experience a rise in the Hotels market revenue, with a projected amount of US$18.48bn by 2024.
The revenue is also estimated to experience an annual growth rate of 2.46%, which will result in a market volume projection of US$20.87bn by 2029.
Additionally, the Hotels market is expected to have 42.02m users users by 2029, with an estimated user penetration of 50.7%.
The average revenue per user (ARPU) is expected to be US$484.90.
Moreover, 76% of the total revenue will come from online sales by 2029.
It is worth noting that United States generates the most revenue in the Hotels market, with an estimated amount of US$111bn in 2024.
Germany's hotel market has been heavily impacted by COVID-19, but some properties are pivoting to offer long-term stays for remote workers.

Key regions:

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

Germany's Hotels market is experiencing a significant growth trajectory, driven by various factors influencing customer preferences, market trends, and local special circumstances.

Customer preferences: Travelers in Germany are increasingly seeking unique and personalized experiences when choosing accommodation options. This trend has led to a rise in demand for boutique hotels, eco-friendly accommodations, and properties offering local cultural immersion activities. Additionally, there is a growing preference for digital booking platforms and contactless services, reflecting the broader global shift towards technology-driven convenience in the hospitality sector.

Trends in the market: One notable trend in the German Hotels market is the increasing popularity of wellness and spa facilities within hotel properties. Travelers are placing a higher emphasis on health and relaxation, leading to a surge in wellness-focused accommodations across the country. Moreover, sustainability practices and green initiatives are becoming more prevalent in the market, with hotels implementing eco-friendly measures to attract environmentally conscious guests.

Local special circumstances: Germany's strong economy and stable political environment have positioned it as a key player in the European hospitality industry. The country's strategic location in the heart of Europe, coupled with efficient transportation infrastructure, makes it a desirable destination for both leisure and business travelers. Furthermore, Germany's rich cultural heritage and diverse tourist attractions contribute to the overall appeal of its Hotels market, attracting a wide range of domestic and international visitors.

Underlying macroeconomic factors: The Hotels market in Germany is also influenced by macroeconomic factors such as GDP growth, consumer spending patterns, and exchange rate fluctuations. As the economy continues to expand and consumer confidence remains high, disposable incomes are increasing, leading to greater spending on travel and accommodation. Moreover, fluctuations in exchange rates can impact international tourism flows and hotel occupancy rates, highlighting the interconnectedness of the market with global economic conditions.

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.