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Development of Worldwide Smart Clothing Market

  • ID: 4060051
  • Report
  • Region: Global
  • 20 pages
  • Market Intelligence & Consulting Institute (MIC)
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  • Adidas
  • Eclat Textile
  • Google
  • MAD Apparel
  • Quanta
  • Sensoria
  • MORE

Back in the 1980s, MIT (Massachusetts Institute of Technology) and Philips as well as consumer electronics vendors started to use clothing as a carrier for computing devices for military or medical purposes. This idea led to the development of smart clothing. After textile companies and apparel brands jumped on the bandwagon, functional clothes integrated with mobile devices such as iPod and clothes that glow or produce heat according to environmental conditions were introduced. Compared to smart glasses and smart watches, smart clothing is in direct contact with most body skin surface. Driven by mobile communications, smart home, and wearable technologies, smart clothing has become a popular research topic for technology and textile companies as well as startups, bringing unlimited potential to the future market.

Note: Product cover images may vary from those shown
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  • Adidas
  • Eclat Textile
  • Google
  • MAD Apparel
  • Quanta
  • Sensoria
  • MORE

1. Smart Clothing Market Scale
1.1 Emergence Stage with High Product Diversification
1.2 Smart Clothing Market to Hit 18 Million Units in 2020

2. Development of Smart Clothing Industry
2.1 Product R&D and Mass Production Plans of Four Types of Vendors
2.2 Leading Vendors' Product Development
2.2.1 Google Develops Materials and Platforms to Expand Ecosystem
2.2.2 Clothing+ (Jabil) Develops One-Stop Smart Clothing Solution
2.2.3 Everest Textile Develops Smart Clothing with Special Weaving Techniques and Infrared Rays

3. Key Issues
3.1 Technology: Battery Awaits Improvement
3.2 IP Rights: Wide Variety of Conductive Fiber Patents
3.3 Industry Standards: Lack of International Standards
3.4 Market Demand: Product Development Needs Enhancement

Glossary of Terms
List of Companies

List of Tables
Table 1: Smart Clothing Vendors' Products

List of Figures
Figure 1: Smart Clothing Shipment Volume, 2015 - 2020
Figure 2: Google's Commuter Jacket
Figure 3: Everest's Smart Clothing

Note: Product cover images may vary from those shown
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  • AIQ
  • Adidas
  • Athos
  • Carre Technologies
  • Clothing+
  • Compal
  • Eclat Textile
  • Everest
  • FENC
  • FET
  • Firstbeat
  • Garmin
  • Google
  • Hexoskin
  • Indiegogo
  • Intel
  • Jabil
  • Levi's
  • MAD Apparel
  • Makalot
  • Nike
  • OMSignal
  • Philips
  • Pixart Imaging
  • Quanta
  • Ralph Lauren
  • Salomon
  • Samsung
  • Sarvint
  • Secret
  • Sensoria
  • Suunto
  • Tex-Ray Industrial
  • Textronics
  • The North Face
  • Under Armour
  • Victorias
Note: Product cover images may vary from those shown
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Primary research with a holistic, cross-domain approach

The exhaustive primary research methods are central to the value that the analyst delivers. A combination of questionnaires and on-site visits to the major manufacturers provides a first view of the latest data and trends. Information is subsequently validated by interviews with the manufacturers' suppliers and customers, covering a holistic industry value chain. This process is backed up by a cross-domain team-based approach, creating an interlaced network across numerous interrelated components and system-level devices to ensure statistical integrity and provide in-depth insight.

Complementing primary research is a running database and secondary research of industry and market information. Dedicated research into the macro-environmental trends shaping the ICT industry also allows the analyst to forecast future development trends and generate foresight perspectives. With more than 20 years of experience and endeavors in research, the methods and methodologies include:


  • Component supplier interviews
  • System supplier interviews
  • User interviews
  • Channel interviews
  • IPO interviews
  • Focus groups
  • Consumer surveys
  • Production databases
  • Financial data
  • Custom databases


  • Technology forecasting and assessment
  • Product assessment and selection
  • Product life cycles
  • Added value analysis
  • Market trends
  • Scenario analysis
  • Competitor analysis