Hotels - United Kingdom

  • United Kingdom
  • The United Kingdom is expected to experience significant growth in the Hotels market.
  • By 2024, the projected revenue for this market is estimated to be US$21.52bn.
  • It is expected to show an annual growth rate of 1.72%, resulting in a projected market volume of US$23.04bn by 2028.
  • Additionally, the number of users is expected to reach 36.19m users in the same year.
  • In 2024, the user penetration rate is expected to be 51.3%, with an estimated increase to 52.6% by 2028.
  • The average revenue per user (ARPU) is expected to amount to US$0.62k.
  • In line with the increasing digitalization of the industry, 87% of total revenue in the Hotels market is expected to be generated through online sales by 2028.
  • It is noteworthy that, in global comparison, United States is expected to generate the highest revenue in the Hotels market, with a projected revenue of US$110,500m in 2024.
  • The United Kingdom's hotel market is experiencing a shift towards eco-friendliness, with an emphasis on sustainable practices and locally-sourced materials.

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

 
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Analyst Opinion

The Hotels market in United Kingdom has been experiencing significant growth and development in recent years.

Customer preferences:
Customers in the United Kingdom are increasingly seeking unique and personalized experiences when choosing accommodation options. This has led to a rise in demand for boutique hotels, eco-friendly properties, and establishments that offer immersive cultural experiences. Additionally, there is a growing preference for hotels that prioritize sustainability and social responsibility.

Trends in the market:
One prominent trend in the United Kingdom's Hotels market is the increasing popularity of online booking platforms and mobile applications. This trend has revolutionized the way customers search for and book accommodations, leading to a more competitive landscape for hoteliers. Another notable trend is the rise of "staycations," where domestic tourism has seen a boost due to factors such as economic uncertainty and travel restrictions.

Local special circumstances:
The United Kingdom's Hotels market is unique due to its rich history and diverse cultural offerings. From historic castles to contemporary boutique hotels, the country offers a wide range of accommodation options to cater to different preferences. Additionally, the presence of popular tourist destinations such as London, Edinburgh, and Manchester has a significant impact on the market dynamics.

Underlying macroeconomic factors:
Several macroeconomic factors contribute to the development of the Hotels market in the United Kingdom. Economic stability, consumer confidence, and disposable income levels play a crucial role in driving demand for both leisure and business travel. Additionally, government policies, such as tourism promotion initiatives and visa regulations, can influence the flow of international visitors and impact the overall performance of the market.

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
  • User Demographics
  • Global Comparison
  • Hotel Star Rating
  • Methodology
  • Key Market Indicators
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