Package Holidays - Kazakhstan

Kazakhstan

Highlights

Kazakhstan is expected to witness a significant growth in the Package Holidays market in the coming years.
It is projected that by 2024, the revenue in this market will reach US$286.20m, with an expected annual growth rate of 6.25% between 2024 and 2029, resulting in a projected market volume of US$387.60m by 2029.
Moreover, the number of users in this market is expected to increase to 1.10m users by 2029, with a user penetration of 4.6% in 2024 that is expected to hit 5.2% by 2029.
The average revenue per user (ARPU) is expected to amount to US$314.30.
It is worth noting that in the Package Holidays market, 73% of total revenue will be generated through online sales by 2029.
Finally, in a global comparison, China is expected to generate the most revenue in this market, with an estimated revenue of US$49bn in 2024.
Kazakhstan's growing middle class is increasingly seeking package holidays to popular destinations in Turkey, Egypt, and the UAE.

Key regions:

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

The Package Holidays market in Kazakhstan has been experiencing significant growth in recent years, reflecting the increasing demand for convenient and hassle-free travel options among Kazakhstani consumers.

Customer preferences: Kazakhstani consumers are increasingly seeking all-inclusive travel packages that offer convenience, value for money, and peace of mind. The appeal of package holidays lies in the simplicity and ease of planning, as well as the ability to budget for the entire trip upfront. Additionally, package holidays often include a range of amenities and services, such as accommodation, meals, transportation, and activities, which appeal to travelers looking for a stress-free vacation experience.

Trends in the market: One notable trend in the Package Holidays market in Kazakhstan is the growing popularity of domestic travel packages. As more Kazakhstani consumers look to explore their own country and support local tourism industry, domestic package holidays have become increasingly sought after. This trend is also driven by the desire for shorter travel times and the opportunity to discover hidden gems within Kazakhstan.

Local special circumstances: The unique geography and cultural diversity of Kazakhstan present opportunities for the development of specialized package holidays catering to different interests and preferences. From adventurous mountain getaways in the Tien Shan and Altai Mountains to cultural tours of historical sites and traditional villages, Kazakhstan offers a wide range of experiences for travelers. By capitalizing on these local special circumstances, tour operators and travel agencies can attract a diverse range of customers seeking unique and authentic travel experiences.

Underlying macroeconomic factors: The growing middle class in Kazakhstan, coupled with increasing disposable incomes, has contributed to the rise in demand for package holidays. As more Kazakhstani consumers prioritize experiences and travel, the Package Holidays market is poised for further expansion. Additionally, government initiatives to promote tourism and improve infrastructure across the country have also played a role in driving the growth of the package holidays sector in Kazakhstan.

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.