Hotels - Norway | Statista Market Forecast

Hotels - Norway

Norway

Highlights

It is projected that the Hotels market in Norway will attain a revenue of US$1.64bn in 2024.
Moreover, the revenue of this market is predicted to display a Compound Annual Growth Rate (CAGR) of 2.89% from 2024 to 2029, resulting in an estimated market volume of US$1.89bn by 2029.
The number of users in the Hotels market is predicted to reach 3.48m users by 2029.
In 2024, the user penetration rate was 54.5%, which is expected to increase to 60.9% by 2029.
The Average Revenue Per User (ARPU) is expected to reach US$544.90.
Furthermore, it is estimated that 87% of the total revenue in the Hotels market will be generated through online sales by 2029.
It is noteworthy that in a global comparison, United States is expected to generate the highest revenue of US$111bn in 2024.
Norwegian hotels are increasingly focused on sustainability, with many implementing eco-friendly practices and offering organic, locally sourced food options to guests.

Key regions:

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

Norway's Hotels market is experiencing a notable shift in consumer preferences, market trends, and local special circumstances that are shaping its development.

Customer preferences: Travelers in Norway are increasingly seeking unique and authentic experiences during their hotel stays. This has led to a rise in demand for boutique hotels, eco-friendly accommodations, and properties that offer cultural immersion. Tourists are willing to pay more for personalized services, locally sourced amenities, and sustainable practices, reflecting a global trend towards experiential travel.

Trends in the market: One prominent trend in Norway's Hotels market is the growing popularity of digital booking platforms and online travel agencies. This shift towards online reservations has increased price transparency, competition, and convenience for both customers and hotel operators. Additionally, there is a noticeable increase in the number of luxury and design hotels opening in major cities like Oslo and Bergen, catering to affluent travelers seeking high-end amenities and aesthetics.

Local special circumstances: Norway's unique geography and outdoor attractions play a significant role in shaping the Hotels market. The country's stunning natural landscapes, including fjords, mountains, and northern lights, attract a steady flow of domestic and international tourists throughout the year. As a result, hotels in scenic locations or offering outdoor activities such as hiking, skiing, and whale watching have a competitive edge in the market. Furthermore, Norway's focus on sustainability and eco-tourism influences hotel development, with many properties incorporating green initiatives and energy-efficient practices.

Underlying macroeconomic factors: The Hotels market in Norway is also influenced by macroeconomic factors such as currency fluctuations, government regulations, and global economic conditions. The strength of the Norwegian krone, government policies on tourism promotion, and international travel trends all impact the performance of the market. Additionally, factors like seasonality, workforce availability, and infrastructure development contribute to the overall dynamics of the Hotels market in Norway.

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.