Vacation Rentals - Malaysia

  • Malaysia
  • Malaysia is expected to witness substantial growth in the Vacation Rentals market, with revenue projected to reach US$1.11bn by 2024.
  • The market is expected to grow at an annual growth rate (CAGR 2024-2028) of 7.09%, resulting in a projected market volume of US$1.46bn by 2028.
  • By 2028, the number of users is expected to reach 14.07m users, with a user penetration rate of 39.0%, up from 34.4% in 2024.
  • The average revenue per user (ARPU) is expected to be US$93.08.
  • Additionally, 80% of total revenue in the Vacation Rentals market is expected to come from online sales by 2028.
  • It is noteworthy that, in comparison to other countries, United States is projected to generate the highest revenue of US$19,770m in 2024.
  • Malaysia's Vacation Rentals market is experiencing growth due to the country's diverse tourist attractions and affordable accommodation options.

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

 
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Analyst Opinion

Vacation RentalsĀ are becoming increasingly popular. Rooms, apartments or vacation homes can often be rented at very short notice, which increasingly represents an attractive accommodation alternative for tourists, especially from the USA and Europe.

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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