Vacation Rentals - Bangladesh

Bangladesh

Highlights

Bangladesh is expected to witness a significant growth in its Vacation Rentals market revenue, as it is projected to reach US$324.20m by 2024.
The revenue is further predicted to grow annually at a rate of 9.95% (CAGR 2024-2029), leading to a projected market volume of US$521.00m by 2029.
Additionally, the number of users in this market is expected to reach 15.42m users by 2029, with a user penetration rate of 5.5% in 2024, which is expected to increase to 8.4% by 2029.
The average revenue per user (ARPU) is expected to be US$33.96.
Furthermore, in the Vacation Rentals market, 57% of total revenue is expected to be generated through online sales by 2029.
It is noteworthy that, in global comparison, United States is expected to generate the most revenue (US$20bn in 2024).
Despite the lack of a developed Vacation Rentals market, Bangladesh's potential as a tourist destination provides opportunities for growth in the industry.

Key regions:

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

The Vacation Rentals market in Bangladesh is witnessing a surge in popularity, driven by changing customer preferences and local special circumstances.

Customer preferences: Travelers in Bangladesh are increasingly looking for unique and personalized accommodation options that offer a more authentic experience during their vacations. This shift towards experiential travel has led to a growing demand for vacation rentals over traditional hotels. Customers prefer the flexibility, privacy, and cost-effectiveness that vacation rentals provide, allowing them to immerse themselves in the local culture and lifestyle.

Trends in the market: One notable trend in the Vacation Rentals market in Bangladesh is the rise of local hosts offering homestays and unique properties to cater to the diverse preferences of travelers. This trend not only provides visitors with a more immersive experience but also supports local communities and promotes sustainable tourism practices. Additionally, the increasing use of online booking platforms and digital marketing strategies has made it easier for vacation rental owners to reach a wider audience and attract more guests.

Local special circumstances: Bangladesh's rich cultural heritage, picturesque landscapes, and warm hospitality make it an attractive destination for both domestic and international travelers. The country's diverse geographical features, including lush greenery, serene rivers, and pristine beaches, offer a wide range of vacation rental opportunities for every type of traveler. From cozy cottages in the countryside to beachfront villas overlooking the Bay of Bengal, Bangladesh has something to offer for everyone.

Underlying macroeconomic factors: The growing middle-class population in Bangladesh, coupled with increasing disposable incomes and a booming tourism industry, has contributed to the expansion of the Vacation Rentals market. As more people seek unique travel experiences and affordable accommodation options, the demand for vacation rentals is expected to continue rising. Additionally, government initiatives to promote tourism and improve infrastructure are further fueling the growth of the vacation rental sector in Bangladesh.

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.