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The key factors driving growth of the global vacation ownership industry include rising number of HNWI and employed population, growing demand for leisure and recreation, increasing internet penetration, ameliorating global economic condition and zealous international tourism in the US. Some of the noteworthy trends and developments of this industry are enhanced buyer’s protection, shifting profitability from hotel stays to timeshare buying, growing popularity for eco-friendly timeshare resorts and fast pace recovery of respective industry in the developed markets after recession. However, the growth of vacation ownership market is hindered by a number of factors including low resale value and stringent government regulations.
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At present, the global vacation ownership industry is recovering at a fast pace and both demand and supply factors are poised to observe substantial growth in the years to come. However, as the trend suggests, supply is growing relatively slower in comparison with demand. Increase in the factors like occupancy rates, average daily rate (ADR), and revenue per available room (RevPAR) have made significant contribution to the growth of the industry.
The report offers an analysis of the global vacation ownership market along with the study of US hotel and vacation ownership industry. It discusses major market trends, growth drivers and challenges. The market for vacation ownership is personified by intense competition, with numerous large and regional players competing on the basis of quality and location of timeshare resorts, flexibility of usage, and other services offered by them.
Wyndham Worldwide Corporation is the leading player in the global vacation ownership market in terms of revenues, number of resorts, and number of owners. The other leading players include Marriott International, Starwood Hotels, Hilton Hotels, and Hyatt Hotels, among others. The report contains a comprehensive analysis of the global timeshare industry along with the study of regional markets.
By combining SPSS Inc.’s data integration and analysis capabilities with our relevant findings, we have predicted the future growth of the industry. We employed various significant variables that have an impact on this industry and created regression models with SPSS Base to determine the future direction of the industry. Before deploying the regression model, the relationship between several independent or predictor variables and the dependent variable was analyzed using standard SPSS output, including charts, tables, and tests.