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Package Holidays - Denmark

Denmark
  • It is estimated that the revenue for Denmark's Package Holidays market will reach US$2.65bn by 2024.
  • Furthermore, the market is projected to grow annually at a rate of 1.44% between 2024 and 2029, resulting in a market volume of US$2.85bn by 2029.
  • The number of users in this market is expected to increase to 2.52m users by 2029.
  • It is worth noting that the user penetration rate is projected to rise from 38.0% in 2024 to 41.4% by 2029.
  • The average revenue per user (ARPU) is expected to be US$1.18k.
  • In terms of sales, it is estimated that 80% of the total revenue in the Package Holidays market will come from online sales by 2029.
  • When compared globally, China is expected to generate the most revenue in this market, with a projected revenue of US$49bn in 2024.
  • Denmark's package holiday market shows a growing interest in sustainable and eco-friendly travel options.

Definition:

The Package Holidays market comprises of travel deals booked via online and offline travel agencies (e.g. Opodo, Expedia), directly from a tour operator (e.g. TUI) in a travel agency or by telephone. Package holidays normally contain travel and accommodation sold for one price, although optional further provisions can be included such as catering and tourist services.

Additional Information:

The main performance indicators of the Package Holidays market are revenues, average revenue per user (ARPU), users and user penetration rates. Additionally, online and offline sales channel shares display the distribution of online and offline bookings. The ARPU refers to the average revenue one user generates per year while the revenue represents the total booking volume. Revenues are generated through both online and offline sales channels and include exclusively B2C revenues. Users represent the aggregated number of travelers. Each user is only counted once per year.

The booking volume includes all booked travels made by users from the selected region, independent of the departure and arrival. The scope includes domestic and outbound travel.

For further information on the data displayed, refer to the info button right next to each box.

In-Scope

  • Contains travel and accommodation, further provisions can be included such as catering and tourist services

Out-Of-Scope

  • Non-packaged travel bookings
Package Holidays: market data & analysis - Cover

Market Insights report

Package Holidays: market data & analysis

Study Details

    Revenue

    Notes: Data was converted from local currencies using average exchange rates of the respective year.

    Most recent update: Jul 2024

    Source: Statista Market Insights

    Most recent update: Jul 2024

    Source: Statista Market Insights

    Sales Channels

    Most recent update: Jul 2024

    Source: Statista Market Insights

    Analyst Opinion

    Denmark, known for its picturesque landscapes and vibrant cities, has seen a notable development in the Package Holidays market.

    Customer preferences:
    Travelers in Denmark are increasingly seeking convenience and hassle-free experiences when planning their holidays. The demand for package holidays has risen as it offers a one-stop solution for flights, accommodation, and activities. Customers value the time-saving aspect and the ability to have their entire trip organized for them.

    Trends in the market:
    One prominent trend in the Danish Package Holidays market is the growing popularity of sustainable and eco-friendly travel options. Travelers are becoming more conscious of their environmental impact and are actively seeking packages that promote responsible tourism. This trend has led to the emergence of eco-friendly accommodations and carbon-neutral travel packages in the market.

    Local special circumstances:
    Denmark's strong emphasis on work-life balance and quality of life has influenced the Package Holidays market. With generous vacation policies and a culture that values relaxation and leisure time, Danes are inclined to invest in high-quality holiday experiences. This has led to a demand for premium package holidays that offer luxury accommodations, unique experiences, and personalized services.

    Underlying macroeconomic factors:
    The stable economy and high standard of living in Denmark have contributed to the growth of the Package Holidays market. With increasing disposable income levels, more Danes have the financial means to invest in travel experiences. Additionally, the strong Danish currency makes international travel more affordable, encouraging consumers to explore a wider range of package holiday options both domestically and abroad.

    Users

    Most recent update: Jul 2024

    Source: Statista Market Insights

    User Demographics

    Most recent update: Mar 2024

    Sources: Statista Market Insights, Statista Consumer Insights Global

    Global Comparison

    Most recent update: Jul 2024

    Source: Statista Market Insights

    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.

    Mobility

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    Package Holidays: market data & analysis - BackgroundPackage Holidays: market data & analysis - Cover

    Key Market Indicators

    Notes: Based on data from IMF, World Bank, UN and Eurostat

    Most recent update: Sep 2024

    Source: Statista Market Insights

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