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Mon - Fri, 9am - 5pm (SGT)
Mon - Fri, 10:00am - 6:00pm (JST)
Mon - Fri, 9:30am - 5pm (GMT)
Mon - Fri, 9am - 6pm (EST)
Key regions: Singapore, India, Indonesia, Germany, Saudi Arabia
The Package Holidays market in Lithuania is experiencing a notable shift in consumer preferences and market trends, influenced by various local special circumstances and underlying macroeconomic factors.
Customer preferences: Travelers in Lithuania are increasingly seeking convenience and value for money when planning their holidays. This has led to a growing demand for package holidays that offer all-inclusive deals, including accommodation, transportation, and activities. Customers appreciate the ease of booking a complete holiday package without having to worry about arranging individual components separately. Additionally, there is a rising interest in experiential travel, with tourists looking for unique and authentic experiences during their vacations.
Trends in the market: One of the key trends in the Package Holidays market in Lithuania is the diversification of destinations offered in package deals. Travel agencies are expanding their offerings to include a wider range of destinations beyond traditional hotspots, catering to the evolving preferences of modern travelers. Moreover, there is a noticeable increase in themed package holidays, such as wellness retreats, adventure tours, and cultural immersions, to cater to niche segments of the market. This trend reflects the growing desire for personalized and specialized travel experiences among Lithuanian tourists.
Local special circumstances: Lithuania's geographical location as a Baltic state provides easy access to various European destinations, making it a convenient starting point for travelers exploring the region. This proximity to popular tourist spots like Scandinavia, Central Europe, and the Baltic countries contributes to the attractiveness of package holidays for Lithuanian travelers. Additionally, the country's rich cultural heritage and natural landscapes serve as compelling selling points for package holiday providers, enticing tourists with diverse experiences within a relatively small geographic area.
Underlying macroeconomic factors: The growing economy in Lithuania has resulted in increased disposable income among the population, allowing more people to afford travel and leisure activities. This rise in purchasing power has positively impacted the Package Holidays market, as consumers are more willing to invest in comprehensive holiday packages for convenience and quality assurance. Furthermore, favorable exchange rates and competitive pricing offered by travel agencies have made package holidays an attractive option for budget-conscious travelers looking to maximize their vacation experiences without overspending.
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.Mon - Fri, 9am - 6pm (EST)
Mon - Fri, 9am - 5pm (SGT)
Mon - Fri, 10:00am - 6:00pm (JST)
Mon - Fri, 9:30am - 5pm (GMT)
Mon - Fri, 9am - 6pm (EST)