Analysis of Argentina Hotels Market:Size, Share, Growth, Trend and Forecast 2022
Posted by Kavita on October 5th, 2019
Bharat Book Bureau Provides the Trending Market Research Report on “Argentina Hotels Market Analytics to 2022 : Rooms and Revenue Analytics” under Hotels Category. The report provides information on industry overview, market size, latest developments, industry trends, Key Manufacturers, global presence, device to communicate and their future prospects.
The report Argentina Hotels Market Analytic to 2022: Rooms and Revenue Analytic provides deep dive data analytic on wide ranging Hotels business aspects including overall revenue by customer type – Business and Leisure, by type of hotel – Budget, Midscale, Up scale & Luxury, Room & Non-Room Revenues, Number of Establishments & Rooms and Guest In-Flows for the period 2013 to 2017 and forecast to 2022.
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Hotels (establishments that provide paid lodging and full guest services, typically with a continuous staff presence) market have seen moderate change in the recent years and is also expected to evolve in similar fashion in the near future.
During 2013-2017 the overall room occupancy rate in Argentina inclined at a CAGR of 3.18% with 50.79% of occupancy rate in 2017. Considering the occupancy rate by segments, Upscale hotels accounted for highest occupancy of 64.80% in 2017 while Budget hotels segment registered lowest occupancy of 41.63%. The former registered a CAGR of 3.51% while the later recorded a CAGR of 3.76%.
Furthermore, the report also details out Room Occupancy Rate (percentage of available rooms sold during a given period), Rooms Nights Available – Occupied and Revenue per Room by Hotel Category for the period 2013 to 2022 along with Total Revenues by Hotel Category & Customer Type.
The report acts as an essential tool for companies active or plans to venture in to Argentina’s Hotels business. The comprehensive statistics within the report provides insight into the operating environment of the market and also ensures right business decision making based on historical trends and industry model based forecasting.
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About the AuthorKavita
Joined: June 10th, 2019
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