Hotels - Brunei Darussalam

Brunei Darussalam

Highlights

Brunei Darussalam is projected to see a significant increase in revenue from the Hotels market, with an expected revenue of US$19.50m in 2024.
The market is expected to grow at a Compound Annual Growth Rate (CAGR) of 3.32%, resulting in a projected market volume of US$22.96m by 2029.
By 2029, the Hotels market is expected to have a user base of 107.30k users in the country, with an expected user penetration of 22.8%, up from 16.0% in 2024.
The Average Revenue Per User (ARPU) is projected to be US$266.80.
Furthermore, it is anticipated that 67% of the total revenue generated in the Hotels market in Brunei Darussalam will come from online sales by 2029.
It is worth noting that in terms of global comparison, United States is expected to generate the most revenue in the Hotels market, with a projected revenue of US$111bn in 2024.
Brunei Darussalam's hotel market is benefitting from an increase in tourism, particularly from neighboring Southeast Asian countries.

Key regions:

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

The Hotels market in Brunei Darussalam has been experiencing a notable shift in recent years, reflecting changes in customer preferences and local special circumstances.

Customer preferences: Customers in Brunei Darussalam are increasingly seeking unique and personalized experiences when choosing hotel accommodations. This trend aligns with the global shift towards experiential travel, where travelers prioritize authentic and memorable experiences over traditional amenities. As a result, hotels in Brunei Darussalam are focusing on providing tailored services and immersive activities to cater to the evolving preferences of their guests.

Trends in the market: One prominent trend in the Brunei Darussalam Hotels market is the growing demand for eco-friendly and sustainable practices. Travelers are becoming more environmentally conscious, leading to an increased preference for hotels that prioritize sustainability initiatives such as energy efficiency, waste reduction, and local community support. Hotels in Brunei Darussalam are responding to this trend by implementing green practices and promoting their eco-friendly efforts to attract environmentally conscious guests.

Local special circumstances: Brunei Darussalam's unique position as a small, wealthy nation with a focus on preserving its cultural heritage has influenced the Hotels market in the country. Hotels in Brunei Darussalam often reflect the local culture and traditions in their design, architecture, and services, offering guests a glimpse into the rich heritage of the country. This emphasis on cultural authenticity sets Brunei Darussalam apart as a destination that values its history and traditions, attracting travelers who seek immersive cultural experiences.

Underlying macroeconomic factors: The Hotels market in Brunei Darussalam is also influenced by macroeconomic factors such as government initiatives, infrastructure development, and tourism policies. The government's efforts to promote tourism and attract foreign investment play a significant role in shaping the hospitality industry in the country. Infrastructure projects, such as the development of transportation networks and tourist attractions, contribute to the overall growth of the Hotels market by improving accessibility and enhancing the overall tourism experience for visitors. Additionally, favorable tourism policies and incentives further support the expansion of the hospitality sector in Brunei Darussalam.

Data coverage:

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

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.