A novel report on global Smart Clothing market is offering current developments and emerging trends of the market. The report offers a comprehensive overview of the market along with details about market size, market share, revenue growth, and top companies. The report covers all crucial and essential information related to global Smart Clothing market to help readers, investors, clients to gain a thorough understanding of the market and invest accordingly. Various advanced statistical tools such as SWOT analysis or Porter’s Five Forces are used in the report.
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The global smart clothing market size was USD 2.74 Billion in 2021 and is expected to register a revenue CAGR of 26.8% during the forecast period, according to the latest analysis by Emergen Research. Rising demand for smart textiles from athletes and fitness preferring individuals are also contributing to revenue growth of the market. For example, Ambiotex launched a T-shirt that includes one TechUnit, which is a small device that is connected to the clothing item to collect and process key data, one micro Universal Serial Bus (USB) cable and adapter, and one operating manual. This garment is made to make users more aware of their bodies while tracking their stress and fitness levels. This smart T-Shirt has built-in sensors that can analyze vitals and fitness and stress levels. It can also determine ‘the Individual Anaerobic Threshold’ (IAT).
The primary aim of the report is to offer market overview, product scope, growth prospects, and risks. The report also offers in depth information about each player in the global Smart Clothing market along with its global standing, financial status, product launch, business expansion plans among others. The market players are focused on developing various strategies such as partnerships, mergers and acquisitions, joint ventures, product launches, and research and development investments.
AiQ Smart Clothing, Sensoria Inc., Vulpes Electronics, WEARABLE X, Applycon, sro, Hexoskin, Mondevices, Inc., Ralph Lauren Media LLC, Under Armour, Inc. and Myontec
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Segmental Analysis
The global Smart Clothing market is broadly segmented on the basis of different product types, application range, end-use industries, key regions, and an intensely competitive landscape. This section of the report is solely targeted at readers looking to select the most appropriate and lucrative segments of the Smart Clothing sector in a strategic manner. The segmental analysis also helps companies interested in this sector make optimal business decisions and achieve their desired goals.
Segments Covered in this report are:
-
Product Type Outlook (Revenue, USD Billion; 2019–2030)
- Upper Wear
- Innerwear
- Lower Wear
- Shoes & Socks
- Others
-
Fabric Type Outlook (Revenue, USD Billion; 2019–2030)
- Ultra smart
- Active Smart
- Passive Smart
- Others
-
Application Outlook (Revenue, USD Billion; 2019–2030)
- Sports & Fitness
- Fashion & Entertainment
- Military
- Healthcare
- Others
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Regional Analysis Covers:
North America (US, Canada)
Europe (UK, Italy, Germany, France, Rest of EU)
Asia Pacific (India, Japan, China, South Korea, Australia, Rest of APAC)
Latin America (Chile, Brazil, Argentina, Rest of Latin America)
Middle East Africa (Saudi Arabia, UAE, South Africa, Rest of MEA)
Table of Contents:
Chapter 1 includes an introduction of the global Smart Clothing market, along with a comprehensive market overview, market scope, product offerings, and an investigation of the market drivers, growth opportunities, risks, restraints, and other vital factors.
Chapter 2 offers an in-depth analysis of the key manufacturers engaged in this business vertical, along with their sales and revenue estimations.
Chapter 3 elaborates on the highly competitive terrain of the market, highlighting the key manufacturers and vendors.
In Chapter 4, our team has fragmented the market on the basis of regions, underscoring the sales, revenue, and market share of each region over the forecast timeline.
Chapters 5 and 6 have laid emphasis on the market segmentation based on product type and application.
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