Package Holidays - Norway

  • Norway
  • Norway is expected to generate a revenue of US$2.49bn in 2024 in the Package Holidays market.
  • This revenue is projected to grow annually at a rate of 3.10%, resulting in a market volume of US$2.90bn by 2029.
  • The number of users in this market is expected to reach 1.50m users by 2029 with a user penetration of 24.2% in 2024, which is expected to decrease to 26.2% by 2029.
  • The average revenue per user (ARPU) is projected to be US$1.87k.
  • Online sales will account for 98% of the total revenue generated in the Package Holidays market by 2029.
  • Interestingly, China is expected to generate the highest revenue of US$49,250m in 2024 in comparison to other countries.
  • Norwegian package holidaymakers are increasingly seeking sustainable and eco-friendly destinations for their travels.

Key regions: Singapore, India, Indonesia, Germany, Saudi Arabia

 
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Analyst Opinion

The Package Holidays market in Norway has been experiencing significant growth in recent years, with an increasing number of travelers opting for all-inclusive vacation packages.

Customer preferences:
Norwegian travelers are showing a growing preference for hassle-free holiday experiences, where they can book their flights, accommodation, and activities all in one go. This trend is driven by the desire for convenience and time-saving benefits. Additionally, package holidays often offer better value for money compared to booking each component separately, which appeals to cost-conscious consumers.

Trends in the market:
One notable trend in the Norwegian Package Holidays market is the rise of eco-friendly and sustainable travel packages. As Norwegians are known for their strong environmental consciousness, there is a growing demand for holidays that promote responsible tourism practices. Package holiday providers are responding to this trend by offering options that include eco-friendly accommodations, carbon offset programs, and sustainable excursions.

Local special circumstances:
Norway's unique geographical features and outdoor attractions play a significant role in shaping the Package Holidays market. The country's stunning fjords, Northern Lights, and picturesque landscapes attract nature-loving travelers from around the world. Package holidays that highlight these natural wonders, along with activities such as hiking, skiing, and wildlife watching, are particularly popular among Norwegian tourists.

Underlying macroeconomic factors:
The overall stability of Norway's economy and high standard of living contribute to the growth of the Package Holidays market. With a strong currency and disposable income, Norwegians have the financial means to invest in travel experiences. Additionally, the country's robust infrastructure and well-developed tourism industry make it easier for travelers to explore both domestic and international destinations through package holidays.

Methodology

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.

Overview

  • Revenue
  • Sales Channels
  • Analyst Opinion
  • Users
  • User Demographics
  • Global Comparison
  • Methodology
  • Key Market Indicators
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