Hotels - Western Asia

  • Western Asia
  • The Hotels market in Western Asia is expected to generate a revenue of US$9.58bn by 2024.
  • The projected annual growth rate (CAGR 2024-2028) of 3.96% is expected to lead to a market volume of US$11.19bn by 2028.
  • The number of users in this market is expected to increase to 48.10m users by 2028.
  • In 2024, the user penetration rate is estimated to be 18.6%, which is expected to increase to 20.7% by 2028.
  • The average revenue per user (ARPU) is expected to be US$230.80.
  • By 2028, it is estimated that 85% of the total revenue in the Hotels market will be generated through online sales.
  • In terms of global comparison, United States is expected to generate the most revenue in this market with US$110,500m in 2024.
  • Hotels in Western Asia are increasingly incorporating traditional elements of local culture into their design and amenities to attract international travelers.

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

 
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Analyst Opinion

The Hotels market in Western Asia is experiencing significant growth and development.

Customer preferences:
Customers in Western Asia are increasingly seeking unique and luxurious hotel experiences. They are looking for hotels that offer personalized services, cultural immersion, and high-end amenities. Additionally, there is a growing interest in eco-friendly and sustainable hotels among customers in the region.

Trends in the market:
In countries like the United Arab Emirates and Qatar, there is a trend towards the development of ultra-luxurious hotels that cater to high-end clientele. These hotels often feature extravagant designs, world-class dining options, and exclusive services. On the other hand, countries like Turkey and Lebanon are witnessing a rise in boutique hotels that focus on providing intimate and authentic experiences to guests.

Local special circumstances:
Western Asia is known for its rich cultural heritage and diverse landscapes, which presents a unique opportunity for the hotel industry in the region. Hotels in Western Asia often incorporate local architectural elements, traditional decor, and culinary offerings to provide guests with a sense of place and authenticity. Additionally, the region's strategic location between Europe, Asia, and Africa makes it a hub for business and leisure travelers, further driving the growth of the hotel market.

Underlying macroeconomic factors:
The growth of the Hotels market in Western Asia can be attributed to various macroeconomic factors such as increasing disposable incomes, booming tourism industry, government initiatives to promote tourism, and investments in infrastructure development. Additionally, the region's stability and safety compared to other parts of the world make it an attractive destination for both tourists and hotel investors.

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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