Package Holidays - Bahrain

Bahrain

Highlights

The Package Holidays market in Bahrain is predicted to experience an increase in revenue, with a projected amount of US$54.32m by 2024.
Furthermore, an annual growth rate of 3.38% is expected between 2024 and 2029, which will result in a projected market volume of US$64.15m by 2029.
In terms of users, the Package Holidays market is anticipated to have 128.60k users users by 2029.
The user penetration rate is expected to increase from 7.2% in 2024 to 8.2% by 2029.
The average revenue per user (ARPU) is projected to be US$501.30.
Online sales are expected to contribute 75% of the total revenue of the Package Holidays market by 2029.
It is noteworthy that in comparison to other countries, China is anticipated to generate the most revenue, with an expected amount of US$49bn in 2024.
Bahrain's growing middle class is fueling demand for all-inclusive package holidays to popular destinations like Turkey and Thailand.

Key regions:

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

The Package Holidays market in Bahrain is experiencing a surge in popularity, driven by a variety of factors that cater to the preferences of modern travelers.

Customer preferences: Travelers in Bahrain are increasingly seeking convenience and value for money when planning their holidays. Package holidays offer a hassle-free option with all-inclusive deals that cover flights, accommodation, and activities. This appeals to busy professionals and families looking for a stress-free vacation experience. Additionally, the trend of experiential travel is on the rise, with travelers wanting unique and authentic experiences that can be easily curated through package holidays.

Trends in the market: One notable trend in the Bahraini Package Holidays market is the customization options being offered by tour operators. Travelers can now personalize their holiday packages to include specific activities, dining options, and accommodations that align with their preferences. This level of flexibility has been well-received and is driving growth in the market. Moreover, there is a growing demand for eco-friendly and sustainable travel options, leading to the emergence of package holidays that focus on responsible tourism practices.

Local special circumstances: Bahrain's strategic location in the Gulf region makes it a hub for both business and leisure travelers. The country's rich history, cultural attractions, and luxury resorts make it an appealing destination for tourists from the Middle East and beyond. The government's efforts to promote tourism through initiatives and events also contribute to the growing popularity of package holidays in Bahrain.

Underlying macroeconomic factors: The stability of Bahrain's economy and its strong focus on tourism development play a significant role in the growth of the Package Holidays market. The government's investment in infrastructure, such as airports and hotels, has improved the overall tourism experience in the country. Additionally, Bahrain's open visa policy and efforts to enhance visitor experiences contribute to making it a favorable destination for package holiday offerings.

Data coverage:

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

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.