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Monday, 29 February 2016

Global Elevator and Escalator Market Report

Elevator is a type of vertical transport equipment that helps in mobilization of people or goods between levels of a building, vessel or any other structure. The major product segments of elevators include: Gearless; Geared hydraulic elevators; and Machine-room-less (MRL). On the other hand, escalator is a moving staircase or a conveyor transport device for carrying people between floors of a building.

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Globally, the E&E market revenue structure is divided in 3 segments viz. New Equipment, Maintenance and Modernization. The following report discuses the global E&E market including its sub-markets and the respective revenue structure, installed bases and new installations. Also, regional markets of China; EMEA; Asia Pacific; North America; and South America are discussed in detail. The report elicits the market dynamics including the industry trends, growth drivers and challenges. The key factors which are poised to drive the E&E industry growth include the rapidly expanding architectural/construction activities; ageing population; increasing urbanization and urban residents’ number; and improving economic scenario.

The competitive landscape in the global E&E industry is fiercely contentious with numerous international and domestic players vying for the market share. The elevator and escalator manufacturers are becoming more and more conscious about enhancing their product offerings in terms of energy efficiency and maintenance cost in order to utilize the growth opportunities present in the market. The leading industry players include OTIS, KONE, Schindler and ThyssenKrupp.

By combining SPSS Inc.’s data integration and analysis capabilities with our relevant findings, we have projected 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.
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