Smart Textile Industry (Market) Trends Analysis By top Key Players| DuPont de Nemours & Co.,Koninklijke Ten Cate NV,Texas Instruments Inc.,Google Inc.,Gentherm Inc.,Schoeller Textiles AG,Sensoria Inc.,Textronics,Adidas,Ohmatex

The global smart textile market size is expected to reach $5,369 million by 2022 from $943 million in 2015 with a CAGR of 28.4% from 2016 to 2022. The global smart textile market is thriving and witnessing significant growth owing to the numerous applications in various industries. Smart textiles having superior performance attributes with applications ranging from simple use in clothing and entertainment to more complicated military & defense, healthcare, automotive, and sport & fitness. A smart textile is developed to meet the specified high performance needs of a particular end user apart from furnishing and conventional clothing. Smart textile is a material that senses, reacts, and monitors the stimuli or environmental conditions, such as thermal, mechanical, chemical, magnetic, or other sources.

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The market for smart textile is growing with a high potential globally. The rise in demand for smart textile products is causing the existing market to expand, leading the way to new players to enter the smart textile market. In the emerging economies, the market share of smart textile consumed relative to conventional textile products is increasing. Many countries meet their domestic demand for smart textiles through imports. Robust growth in the production of automobile, healthcare, and high demand for smart textile in military & defense sector is driving the global smart textile market. Moreover, the integration of wearables in textiles, use of nanotechnology, and application in mobile phones are macroeconomic factors that boost the growth of the smart textile market. However, high cost of production and no collaboration within the industries hampers the growth of the smart textile market. The emergence of nanotechnology and its growing demand in smart textile industry provides opportunities to the manufacturers of smart textiles.

The global smart textile market is segmented based on function, application, and geography. On the basis of function, the smart textile market is segmented into energy harvesting, sensing, thermoelectricity, luminescent, and others, which include weaving, knitting, and braiding. On the basis of application, the smart textile industry is bifurcated into healthcare, military & defense, entertainment, automotive, sport & fitness, and others. On the basis of geography, the market is segmented into North America, Europe, Asia-Pacific, and LAMEA.

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Major players profiled in this study are

DuPont de Nemours & Co.
Koninklijke Ten Cate NV
Texas Instruments Inc.
Google Inc.
Gentherm Inc.
Schoeller Textiles AG
Sensoria Inc.
Textronics
Adidas
Ohmatex
KEY BENEFITS FOR STAKEHOLDERS:

This report provides an extensive analysis of the current and emerging market trends and dynamics in the global smart textile market.
In-depth analysis has been done in this report by constructing market estimations for the key market segments between 2015 and 2022.
Geographically, the global smart textile market is analyzed based on various regions such as North America, Europe, Asia-Pacific and LAMEA.
Competitive landscaping and value chain has been considered in the study to understand the competitive environment across the geographies.
Region-wise and country-wise global smart textile market conditions are comprehensively analyzed in the report.

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Exhaustive analysis of the global smart textile market by function helps in understanding the types of smart textile that are currently being used along with the variants that would gain prominence in the future.
Porter’s Five Forces analysis highlights the potency of buyers and suppliers participating in this market. This would offer a competitive advantage to stakeholders to make profit-oriented business decisions and to help strengthen their supplier and buyer network.
This report provides the quantitative analysis of the current market and estimations through 2015-2022, which assists in identifying the prevailing market opportunities.

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