Vacation Rentals - Hong Kong

  • Hong Kong
  • Hong Kong is expected to witness a rise in the Vacation Rentals market.
  • In 2024, the projected revenue for the Vacation Rentals market in Hong Kong is US$0.80bn.
  • This industry is expected to grow at an annual growth rate of 4.39%, resulting in a projected market volume of US$0.95bn by 2028.
  • By 2028, the number of users is expected to reach 2.57m users, with user penetration expected to increase from 31.7% in 2024 to 34.3% by 2028.
  • The average revenue per user (ARPU) is projected to be US$337.30.
  • Additionally, 95% of the total revenue generated in the Vacation Rentals market is expected to be generated through online sales by 2028.
  • Furthermore, in global comparison, United States is expected to generate the most revenue in the Vacation Rentals market, with a projected revenue of US$19,770m in 2024.
  • Hong Kong's Vacation Rentals market is witnessing a shift towards luxury properties, catering to high-end travelers.

Key regions: Vietnam, United States, United Kingdom, Indonesia, Malaysia

 
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Analyst Opinion

The Vacation Rentals market in Hong Kong is experiencing a surge in popularity among both domestic and international travelers.

Customer preferences:
Travelers in Hong Kong are increasingly opting for vacation rentals over traditional hotels due to the desire for more authentic and unique experiences. They prefer the flexibility, space, and privacy that vacation rentals offer, especially for family trips or group gatherings.

Trends in the market:
One notable trend in the Hong Kong vacation rentals market is the growing popularity of luxury and high-end properties. Travelers are willing to pay a premium for upscale accommodations with top-notch amenities and exclusive services. Additionally, there is a rising demand for eco-friendly and sustainable vacation rentals in response to increasing environmental awareness among travelers.

Local special circumstances:
Hong Kong's unique geographical features, such as its stunning skyline, bustling city life, and picturesque islands, contribute to the diverse offerings in the vacation rentals market. Properties with panoramic views of the cityscape or waterfront locations are highly sought after by travelers looking to immerse themselves in the vibrant atmosphere of Hong Kong.

Underlying macroeconomic factors:
The steady growth of the tourism industry in Hong Kong, driven by factors such as increasing disposable income, improved transportation infrastructure, and government initiatives to promote tourism, is fueling the expansion of the vacation rentals market. Additionally, the rise of the sharing economy and online platforms has made it easier for property owners to list their spaces for short-term rentals, leading to a wider variety of options for travelers in Hong Kong.

Methodology

Data coverage:

The data encompasses B2C enterprises. Figures are based on bookings, revenues, and sales channels of vacation rentals.

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
  • Methodology
  • Key Market Indicators
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