Vacation Rentals - Brunei Darussalam

Brunei Darussalam

Highlights

In 2024, the projected revenue in the Vacation Rentals market of Brunei Darussalam is expected to reach US$15.62m.
Moreover, the revenue is predicted to increase at a Compound Annual Growth Rate (CAGR) of 3.78%, resulting in a projected market volume of US$18.80m by 2029.
The number of users in this market is also expected to increase and reach 132.70k users by 2029.
The user penetration in 2024 is estimated to be 24.6% and is expected to hit 28.2% by 2029.
The average revenue per user (ARPU) is anticipated to be US$139.50.
It is projected that 61% of the total revenue will be generated through online sales by 2029.
In comparison to other countries worldwide, United States is expected to generate the most revenue in the Vacation Rentals market with a projected revenue of US$20bn in 2024.
Brunei Darussalam's Vacation Rentals market is still in its infancy, with limited options and a focus on luxury accommodations.

Key regions:

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

The Vacation Rentals market in Brunei Darussalam is experiencing a steady growth trajectory, driven by several key factors.

Customer preferences: Travelers in Brunei Darussalam are increasingly seeking unique and personalized accommodation options for their vacations. The rise of vacation rentals provides them with a more authentic and immersive experience compared to traditional hotels. Customers appreciate the flexibility, privacy, and often lower costs associated with vacation rentals, contributing to the growing demand in the market.

Trends in the market: One prominent trend in the Brunei Darussalam vacation rentals market is the increasing popularity of eco-friendly and sustainable properties. Travelers are becoming more environmentally conscious and are actively seeking accommodations that align with their values. As a result, eco-friendly vacation rentals, such as properties with solar panels or water-saving features, are in high demand in the market. Additionally, the rise of digital platforms and online booking systems has made it easier for travelers to discover and book vacation rentals, further fueling market growth.

Local special circumstances: Brunei Darussalam's unique cultural and natural attractions play a significant role in shaping the vacation rentals market. The country's rich heritage, diverse landscapes, and vibrant festivals attract a wide range of tourists looking for memorable experiences. Vacation rental property owners often capitalize on these special circumstances by offering accommodations that highlight the local culture and provide easy access to popular tourist destinations.

Underlying macroeconomic factors: The stable economic environment and increasing disposable income in Brunei Darussalam have also contributed to the growth of the vacation rentals market. As more residents have the means to travel domestically and internationally, the demand for quality accommodation options has risen. Additionally, government initiatives to promote tourism and hospitality sectors have further supported the development of vacation rentals in the country.

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.