Package Holidays - Malta

Malta

Highlights

in Malta, a popular tourist destination, is expected to witness a rise in revenue in the Package Holidays market.
By 2024, the projected revenue for this market is US$14.91m, with an estimated annual growth rate of 3.82% (CAGR 2024-2029).
This growth trajectory will result in a projected market volume of US$17.98m by 2029.
The number of users in the Package Holidays market is also expected to increase, with a projected amount of 44.22k users by 2029.
User penetration, which is currently at 7.0% in 2024, is estimated to reach 8.1% by 2029.
The average revenue per user (ARPU) is also expected to increase and amount to US$394.40.
Furthermore, online sales will continue to play a significant role in the Package Holidays market, with 77% of the total revenue expected to be generated through online sales by 2029.
It is interesting to note that in global comparison, China is expected to generate the most revenue in this market, with a projected revenue of US$49bn in 2024.
Malta's package holiday market continues to thrive, attracting tourists with its sunny beaches, rich history and vibrant culture.

Key regions:

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

The Package Holidays market in Malta has been experiencing notable growth and evolution in recent years.

Customer preferences: Travelers in Malta are increasingly seeking convenience and value for money when it comes to planning their holidays. With busy lifestyles, many customers prefer the ease of booking package holidays that include flights, accommodations, and activities all in one. This trend is in line with global preferences where travelers are opting for hassle-free experiences that offer a good balance between cost and convenience.

Trends in the market: One of the key trends in the Package Holidays market in Malta is the rising demand for personalized and experiential travel packages. Customers are looking for unique experiences that allow them to immerse themselves in the local culture and explore off-the-beaten-path destinations. As a result, tour operators and travel agencies are expanding their offerings to cater to these evolving preferences by curating specialized packages that focus on authentic experiences and sustainable tourism practices.

Local special circumstances: Malta's unique geographical location and rich history make it a popular destination for tourists seeking a mix of sun, sea, and culture. The archipelago's small size allows travelers to easily explore its various attractions, from ancient temples to picturesque beaches. This has led to a growing interest in package holidays that offer a comprehensive overview of Malta's diverse offerings, including historical tours, water sports activities, and culinary experiences.

Underlying macroeconomic factors: The growing Package Holidays market in Malta is also influenced by macroeconomic factors such as increasing disposable incomes and improving transportation infrastructure. As more Maltese residents have higher purchasing power, they are willing to spend on travel experiences that provide convenience and quality. Additionally, enhancements in air connectivity and accommodation options have made it easier for international tourists to visit Malta, further driving the demand for package holidays in the region.

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.