Hotels - Hong Kong

Hong Kong

Highlights

Hong Kong's Hotels market is projected to achieve a revenue of US$1.39bn in 2024.
This market is expected to experience an annual growth rate (CAGR 2024-2029) of 5.44%, leading to a projected market volume of US$1.81bn by 2029.
The number of users in this market is expected to reach 5.41m users by 2029.
The user penetration, which is 59.8% in 2024, is expected to rise to 72.2% by 2029.
The average revenue per user (ARPU) is expected to be US$309.50.
By 2029, online sales are estimated to generate 87% of the total revenue in the Hotels market.
In terms of global comparison, United States is projected to generate the most revenue, reaching US$111bn in 2024.
Hong Kong's hotel market is facing increasing competition from short-term rental platforms, leading to a shift in focus towards luxury and niche offerings.

Key regions:

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

Over the past few years, the Hotels market in Hong Kong has experienced significant growth and transformation.

Customer preferences: Customers in Hong Kong are increasingly looking for unique and personalized experiences when choosing hotels. They value convenience, high-quality service, and amenities that cater to their specific needs. The demand for luxury hotels with top-notch facilities and services is on the rise, as well as a growing interest in eco-friendly and sustainable accommodation options.

Trends in the market: One notable trend in the Hong Kong Hotels market is the increasing popularity of boutique hotels and smaller, independent properties. These hotels offer a more intimate and local experience, attracting travelers who seek authenticity and cultural immersion. Another trend is the growing use of technology in hotels, with mobile check-ins, smart room features, and personalized digital concierge services becoming more common to enhance the overall guest experience.

Local special circumstances: Hong Kong's unique positioning as a global financial hub and a popular tourist destination plays a significant role in shaping the Hotels market. The city's diverse cultural influences, vibrant culinary scene, and bustling shopping districts contribute to the demand for a wide range of accommodation options to cater to different traveler preferences. Additionally, the limited land availability in Hong Kong has led to a focus on maximizing space and creating innovative hotel designs to meet the growing demand for accommodations.

Underlying macroeconomic factors: The Hotels market in Hong Kong is also influenced by macroeconomic factors such as tourism trends, exchange rates, and government policies. The city's strong economy and stable political environment attract both business and leisure travelers, driving demand for hotel accommodations. Fluctuations in currency exchange rates can impact tourism flows and hotel revenues, while government regulations and initiatives related to tourism development and infrastructure projects can shape the overall growth and competitiveness of the Hotels market in Hong Kong.

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.