Hotels - Malta

  • Malta
  • Malta is expected to witness a significant rise in revenue for the Hotels market, reaching US$15.03m by 2024.
  • This projection indicates an estimated annual growth rate (CAGR 2024-2028) of 6.93%, which could result in a projected market volume of US$19.65m by 2028.
  • Additionally, the number of users in the Hotels market is expected to reach 64.83k users by 2028.
  • In 2024, user penetration is estimated to be 10.5% and is expected to rise to 12.0% by 2028.
  • The average revenue per user (ARPU) is anticipated to be US$267.00.
  • It is noteworthy that in the Hotels market, 88% of total revenue is projected to be generated through online sales by 2028.
  • Lastly, in global comparison, the majority of revenue will be generated United States, amounting to US$110,500m in 2024.
  • Malta's hotel market is experiencing a rise in demand from tourists seeking unique, historic accommodations in the heart of the Mediterranean.

Key regions: Singapore, Indonesia, India, United States, Europe

 
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Analyst Opinion

The Hotels market in Malta has been experiencing a notable growth in recent years, attracting a diverse range of tourists from around the world.

Customer preferences:
Tourists visiting Malta are increasingly seeking unique and authentic experiences, driving the demand for boutique hotels and traditional guesthouses over large chain hotels. Many travelers are also prioritizing sustainable and eco-friendly accommodation options, leading to the rise of environmentally conscious hotels in the market.

Trends in the market:
One prominent trend in the Maltese Hotels market is the integration of technology to enhance the guest experience. Hotels are investing in digital check-in services, smart room features, and personalized recommendations based on guest preferences. Additionally, there is a growing trend towards offering all-inclusive packages to cater to the convenience-seeking segment of travelers.

Local special circumstances:
Malta's unique cultural heritage and historical sites play a significant role in shaping the Hotels market. Many hotels in Malta are housed in renovated historical buildings, offering guests a chance to immerse themselves in the rich history of the island. The picturesque coastal locations of many hotels also contribute to their popularity among tourists.

Underlying macroeconomic factors:
The steady growth of Malta's tourism industry, supported by government initiatives and investments in infrastructure, has been a key driver of the Hotels market. The country's stable economy and strategic location in the Mediterranean further attract international hotel chains looking to expand their presence in the region. Additionally, Malta's reputation as a safe and welcoming destination has boosted visitor numbers, fueling the demand for a diverse range of accommodation options.

Methodology

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.

Overview

  • Revenue
  • Sales Channels
  • Analyst Opinion
  • Users
  • Global Comparison
  • Hotel Star Rating
  • Methodology
  • Key Market Indicators
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