Being a necessity item, especially
in the healthcare and food industry, the demand for rubber gloves remained
robust in 2012 despite the Euro-zone debt crisis. Other major factors that
boosted demand include improvement in healthcare awareness, healthcare reforms
with more stringent regulations following H1N1 scare and decreasing raw
material costs. The emerging economies represent the greatest potential for
growth given the low penetration of glove usage in their healthcare industry.
With substantial rise in natural rubber latex prices over the past 2 years,
there was a shift in demand towards nitrile gloves. As a result, most of the
gloves manufacturers are either building up new nitrile glove production
capacity or switching existing production capacity from natural rubber to
nitrile rubber.
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Malaysia still dominates the global
glove market as the largest producer and exporter of rubber gloves worldwide.
Malaysia holds advantage in raw material availability, infrastructure, R&D,
development of supporting industries and support from government agencies over
other countries. Other leading nations that produce rubber gloves include
Thailand and Indonesia.
The four topmost rubber gloves
manufacturers include Top Glove, Supermax, Kossan and Hartalega. All of them
have rolled out their production plans in order to supply better products and
to increase their production capacities. Although the industry has maintained
its growth momentum but the major bottlenecks are labor shortage, fluctuating
NBR prices, imposition of minimum wage by Malaysia, shortage of natural gas and
hikes in gas tariffs.
The report provides an analysis of
the global rubber gloves market. It also discusses major trends, growth drivers
and potential markets. The report presents the competitive structure of the
industry and profiles major players with a discussion of their key business
strategies.
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.ent variable was analyzed using
standard SPSS output, including charts, tables and tests.
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