Market Insights Mobility Travel & Tourism

Vacation Rentals - Malaysia

Malaysia

Malaysia is expected to witness substantial growth in the Vacation Rentals market, with revenue projected to reach €1.01bn by 2024.
The market is expected to grow at an annual growth rate (CAGR 2024-2028) of 7.32%, resulting in a projected market volume of €1.34bn 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 €85.09.
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 €18,070m 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, United States, United Kingdom, Indonesia, Malaysia

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Analyst Opinion

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

Customer preferences: Travelers in Malaysia are increasingly seeking unique and personalized accommodation options, driving the demand for vacation rentals over traditional hotels. The desire for more space, privacy, and amenities that mimic a home environment is a key factor influencing customer preferences in the Vacation Rentals market.

Trends in the market: One notable trend in the Malaysian Vacation Rentals market is the rise of online platforms and mobile apps that connect travelers directly with property owners. This direct booking approach not only offers convenience and flexibility to customers but also allows for a wider range of options in terms of pricing and property types. Additionally, the growing interest in eco-friendly and sustainable travel is shaping the market, with an increasing number of vacation rentals in Malaysia incorporating environmentally friendly practices.

Local special circumstances: Malaysia's diverse cultural and natural attractions make it a popular destination for travelers looking to experience a mix of urban and outdoor adventures. This diversity has led to a wide range of vacation rental options catering to different preferences, from beachfront villas to cozy chalets in the mountains. The country's warm hospitality and vibrant local food scene also contribute to the overall appeal of vacation rentals as a preferred accommodation choice.

Underlying macroeconomic factors: The steady growth of Malaysia's tourism industry, supported by government initiatives to promote the country as a top travel destination in the region, has played a significant role in driving the development of the Vacation Rentals market. Additionally, the increasing affordability and accessibility of international travel have made Malaysia an attractive destination for a diverse range of travelers, further fueling the demand for vacation rentals in the country.

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.