Package Holidays - Spain

Spain

Highlights

Spain is expected to see a rise in revenue for the Package Holidays market, with a projected amount of US$14.13bn in 2024.
This figure is anticipated to increase with an annual growth rate (CAGR 2024-2029) of 1.83%, leading to a predicted market volume of US$15.48bn by 2029.
The number of users in this market is also expected to rise, with an estimated amount of 11.85m users by 2029.
The user penetration rate is expected to reach 25.1% in 2029, up from 22.4% in 2024.
The average revenue per user (ARPU) is projected to be US$1.33k.
Additionally, it is expected that 96% of the total revenue in the Package Holidays market will be generated through online sales by 2029.
When compared globally, China is expected to generate the most revenue in this market, with a projected amount of US$49bn in 2024.
Spain's package holiday market is experiencing a shift towards sustainable tourism, with an increasing number of travelers seeking eco-friendly accommodations and activities.

Key regions:

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

The Package Holidays market in Spain has been experiencing a significant growth in recent years, reflecting the country's popularity as a top tourist destination in Europe.

Customer preferences: Travelers in Spain are increasingly seeking convenience and hassle-free experiences when planning their holidays. This has led to a growing demand for package holidays, where accommodation, transportation, and activities are bundled together. Customers appreciate the simplicity and cost-effectiveness of package deals, allowing them to fully enjoy their vacation without the stress of organizing individual components.

Trends in the market: One notable trend in the Package Holidays market in Spain is the diversification of offerings to cater to different types of travelers. Tour operators are now providing specialized packages tailored to various interests such as culinary tours, adventure holidays, and wellness retreats. This trend reflects the evolving preferences of modern travelers who are looking for unique and personalized experiences during their trips.

Local special circumstances: Spain's diverse landscape and rich cultural heritage make it an attractive destination for a wide range of travelers. From the sunny beaches of the Costa del Sol to the historic streets of Barcelona, Spain offers something for everyone. The country's vibrant local culture, delicious cuisine, and warm hospitality also contribute to its appeal as a top holiday destination. These special circumstances make Spain an ideal market for package holidays that showcase the best of what the country has to offer.

Underlying macroeconomic factors: The stability of Spain's economy and the growth of the tourism industry are key macroeconomic factors driving the development of the Package Holidays market. With a steady increase in tourist arrivals each year, tour operators and travel agencies are capitalizing on the growing demand for all-inclusive holiday packages. Additionally, favorable government policies and investments in infrastructure have further boosted Spain's tourism sector, making it a competitive market for package holidays.

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.