Vacation Rentals - Philippines

  • Philippines
  • By 2024, the Vacation Rentals market in the Philippines is projected to reach a revenue of US$0.49bn.
  • Furthermore, it is expected that the market will grow at an annual growth rate of 6.14% (CAGR 2024-2029), resulting in a projected market volume of US$0.66bn by 2029.
  • In terms of users, it is expected that the number of users in this market will amount to 14.79m users by 2029.
  • The user penetration for this market is expected to increase from 9.1% in 2024 to 11.6% by 2029.
  • The projected average revenue per user (ARPU) is US$45.10.
  • It is interesting to note that in the Vacation Rentals market, 65% of the total revenue is expected to be generated through online sales by 2029.
  • In a global comparison, it is projected that United States will generate the most revenue in this market with a revenue of US$20,270m in 2024.
  • The Vacation Rentals market in the Philippines is experiencing a shift towards sustainable and eco-friendly accommodations.

Key regions: India, Vietnam, Saudi Arabia, Singapore, Germany

 
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Analyst Opinion

The Vacation Rentals market in Philippines has been experiencing significant growth and development in recent years.

Customer preferences:
Travelers in the Philippines are increasingly seeking unique and personalized accommodation options, leading to a rise in demand for vacation rentals. Tourists are looking for authentic experiences that allow them to immerse themselves in the local culture and lifestyle. This shift towards experiential travel has fueled the popularity of vacation rentals over traditional hotels.

Trends in the market:
One notable trend in the Vacation Rentals market in Philippines is the increasing popularity of eco-friendly and sustainable properties. Travelers are becoming more environmentally conscious and are actively seeking accommodation options that align with their values. As a result, eco-friendly vacation rentals that promote sustainability and responsible tourism are gaining traction in the market.

Local special circumstances:
The archipelagic nature of the Philippines presents a unique opportunity for the Vacation Rentals market. With thousands of islands offering diverse landscapes and attractions, property owners have a wide range of options to develop vacation rentals catering to different preferences. From beachfront villas to mountain retreats, the Philippines offers a rich tapestry of vacation rental opportunities for travelers.

Underlying macroeconomic factors:
The growing middle class in the Philippines, coupled with increasing disposable incomes, has contributed to the expansion of the Vacation Rentals market. As more Filipinos have the financial means to travel domestically, the demand for vacation rentals has surged. Additionally, the rise of digital platforms and online booking services has made it easier for property owners to market their rentals to a wider audience, further driving growth in the market.

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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