Hotels - Thailand | Statista Market Forecast

Hotels - Thailand

Thailand

Highlights

In Thailand, the Hotels market is expected to witness a significant boost in revenue, with projections indicating a revenue of US$1.44bn by 2024.
The market is also anticipated to grow at an annual growth rate (CAGR 2024-2029) of 5.26%, resulting in a projected market volume of US$1.86bn by 2029.
Moreover, the number of users is expected to reach 13.79m users in the same year.
The user penetration rate in the Hotels market is projected to increase from 12.3% in 2024 to 19.1% by 2029.
This growth will be accompanied by an average revenue per user (ARPU) of US$162.80.
It is worth noting that 76% of the total revenue in the Hotels market will be generated through online sales by 2029.
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.
Thailand's hotel market is adapting to the rise of sustainable tourism, with many hotels implementing eco-friendly practices to attract socially-conscious travelers.

Key regions:

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

Amidst the tropical beauty and rich culture of Thailand, the Hotels market is experiencing significant growth and development.

Customer preferences: Travelers in Thailand are increasingly seeking unique and experiential accommodations that offer authentic local experiences. This shift in preferences has led to a rise in boutique hotels, eco-friendly resorts, and luxury villas that cater to the demand for personalized and culturally immersive stays.

Trends in the market: One prominent trend in the Thai Hotels market is the increasing focus on sustainable practices and eco-friendly initiatives. Many hotels are adopting green technologies, reducing plastic usage, and promoting local conservation efforts to appeal to environmentally conscious travelers. Additionally, the rise of digital platforms and online booking services has revolutionized the way hotels reach and engage with customers, leading to enhanced customer experiences and streamlined operations.

Local special circumstances: Thailand's unique blend of traditional hospitality and modern amenities sets it apart as a top tourist destination in Southeast Asia. The country's diverse landscapes, vibrant cities, and renowned cuisine attract a wide range of travelers, from backpackers seeking budget-friendly hostels to luxury tourists looking for high-end resorts. This diversity in tourist preferences has fueled the growth of various hotel segments, catering to different needs and budgets.

Underlying macroeconomic factors: The Hotels market in Thailand is also influenced by macroeconomic factors such as government policies, infrastructure development, and global economic trends. The country's stable political environment, infrastructure investments, and strategic marketing campaigns have contributed to the growth of the tourism sector, driving demand for hotel accommodations. Moreover, fluctuations in exchange rates, international travel restrictions, and global economic conditions play a significant role in shaping the performance of the Hotels market in Thailand.

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.