EU - Woven Fabrics Of Man-Made Filaments And Staple Fibers - Market Analysis, Forecast, Size, Trends and Insights
Germany Produces and Exports the Largest Share of Woven Filament Fabrics and Staple Fibers in the EU
From 2007 to 2014, EU production of woven fabrics of man-made filaments and staple fibers showed a decrease in dynamics, falling from X X million square meters in 2007 to X X million square meters in 2014. Over the period under review, it dropped with a CAGR of X%. In value terms, EU filament fabric and staple fiber production decreased to X X million EUR in 2014, dropping by X% annually.
The countries with the largest production of woven fabrics of man-made filaments and staple fibers in absolute volumes were Germany (X million square meters) and Italy (X million square meters). They were followed by Spain (X million square meters) and Lithuania (X million square meters).
Positive dynamics in filament fabric and staple fiber production among the main producing countries from 2007 to 2014 were recorded in Lithuania (+X% per year), while for the other three EU leaders (Germany, Italy and Spain) the paces of growth were negative.
Germany dominated in EU production and exports of woven fabrics of man-made filaments and staple fibers. In 2014, Germany exported the lion's share of its total woven fabrics of man-made filaments and staple fibers output.
Source: IndexBox AI Platform
Making Data-Driven Decisions to Grow Your Business
A Quick Overview of Market Performance
Understanding the Current State of The Market and Its Prospects
Finding New Products to Diversify Your Business
Choosing the Best Countries to Establish Your Sustainable Supply Chain
Choosing the Best Countries to Boost Your Exports
The Latest Trends and Insights into The Industry
The Largest Importers on The Market and How They Succeed
The Largest Exporters on The Market and How They Succeed
The Largest Producers on The Market and Their Profiles
The Largest Markets And Their Profiles
We can help you conduct market research and write a report using the most reliable data