Global Luggage Market Report: 2013 Edition
Despite
the general economic conditions worldwide being uneven in 2012, the luggage
market witnessed a significant growth. The travel and tourism market, a key
driver of luggage business, continued to expand, with global inbound tourists
reaching 1.0 billion for the first time in 2012. Asia Pacific region showed the
strongest growth in inbound tourism while in more mature markets increase in
the number of budget airlines continued to drive demand. Changing regulations
on cabin baggage on aircrafts and the increasingly common practice of
weight-based charging for hold baggage have made consumers more aware of volume
capacity and lightness in luggage.
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TOC :-
As
a result of these changes, manufacturers are focusing on innovative designs
that are light-weighted. Polycarbonate resin for making ultra lightweight
luggage bags are in huge demand. Travel goods like handbags, smartphones and
tablet covers and backpacks were most popular categories among consumers.
The
global luggage market is intensely competitive with the presence of both
organized and unorganized players. Samsonite remains the undisputed leader in
the worldwide luggage market, followed by VF Corporation, Tumi, Ace, Delsey,
VIP, and Rimowa, among others. Competition is largely based on the brand name; product
pricing, quality, and design; product technology; and advertising, among other
such factors.
The
report analyzes the global luggage market. Also, the main markets like the US,
China, Japan and India are being presented in the report. The report discusses
the key drivers, trends and issues related to the global luggage market. The
major players of the industry have also been profiled in the report.
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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.
Contact:-
M/s Sheela
90 Sate Street, Suite 700
Albany, NY 12207
Tel: +1-518-618-1030
USA – Canada Toll Free: 866-997-4948
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