Smart Clothing Market Size and Growth Analysis by 2027

Smart Clothing Market Forecast to 2027 - COVID-19 Impact and Global Analysis by Type (Active, Passive, and Ultra-Smart), Orientation Type (Apparel, Footwear, Wearable Patches, and Others), Connectivity (Wi-Fi, Bluetooth, GPS, and RFID), End-User (Healthcare, Fashion and Lifestyle, Sport and Fitness, Military, and Others)

Publication Month : Aug 2020

  • Report Code : TIPTE100000341
  • Category : Electronics and Semiconductor
  • Status : Published
  • No. of Pages : 198
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The smart clothing market was valued at US$ 1,143.09 million in 2019 and is projected to reach US$ 6,418.08 million by 2027; it is expected to grow at a CAGR of 24.4% during 2020–2027.

Smart clothing is designed and manufactured with the integration of smart technologies to offer fabric with different functionality. The growing use of smart clothing across sectors such as healthcare, military, sports, and defense can influence market growth over the coming years. Increasing injury cases during sports activities coupled with increased investments in the military & defense sector may increase demand for the product. High demand for body activity monitoring via sensors can stimulate market growth. Growing consumer awareness about fitness is likely to fuel market growth. Shifting athletes' preference for smart clothing to prevent possible injuries and boost their performance may spur market growth over the forecast period. The growth of the global market is also led by escalating spending by sectors, such as healthcare, sports & fitness, and the fashion industry sector.

Smart textiles have garnered significant popularity in the area of healthcare and related domains because the fabric is in direct contact with its wearer's skin, owing to which it offers the most primary access to non-vital or vital body parameters. In fitness and sports applications, smart fabrics can replace attached or worn sensor devices. The most basic use is to monitor the wearer’s vital data, such as heartbeat, ECG, carotid pulse, respiration, breathing pattern, skin temperature, skin impedance, and physical activity, during normal daily activities. This allows empowering individuals to manage their healthcare needs, thereby promoting preventive healthcare (from illness diagnosis to wellness monitoring). Smart clothing will have a critical application in remote control of chronically ill patients or those undergoing rehabilitation, especially in telemedical applications. With active materials, recovery can be supported by movement detection, correction, or medication administered through the skin.

IMPACT OF COVID-19 ON SMART CLOTHING MARKET

The countries across the globe witnessed an unprecedented rise in number of confirmed cases resulting in large scale lockdown across different regions Moreover, the service sector had witnessed significant impact of the global pandemic owing to decline in services along with laying off of employees across different service verticals across the distribution channel such as retailers, suppliers, distributors and delivery providers. The retailers and brands are facing various short-term challenges regarding health and safety, supply chain, labor force, cash flow, consumer demand, and marketing. Furthermore, the rising number of cases continue to negatively impact the production, distribution and continue operation of supply chain for smart clothing market across the globe.


Lucrative Regions for Smart Clothing Market

Lucrative Regions for Smart Clothing Market
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Market Insights–Smart Clothing Market

Upper Body Garment Solution Is Expected to Drive the Market’s Growth In The Future

The growing demand for upper wear, such as smart shirts, jackets, and vests, creates market growth opportunities. A smart shirt can provide biometric data such as heart rate, respiratory rate, and muscle activity, which are used professionally to optimize performance and workout plans. Data is captured and sent to all the companion app, providing insight into a range of sporty metrics, including intensity and recovery, calories burned, and fatigue level, and quality of sleep. Therefore, the increasing use of upper wear for various end-user applications is expected to provide smart clothing providers with opportunities during the forecast period. Bioman+, for example, is a base upper body garment solution for a wide range of cleaning solutions. It consists of conductive fiber-based textile electrodes for the acquisition of the human body's electrical activity and conductive thread for the transmission of electrical signals to the processing and transmission module snapped onto the clothing. Bioman+ has been validated with most of the industry's leading heart rate & ECG module vendors. It continues to be the Smart Clothing partner of the first choice for new module vendors entering this rapidly growing segment.

Type Segment Insights

Smart clothing is designed and manufactured with the integration of smart technologies to offer fabric with smart functionalities. The smart clothing market, by type is segmented into passive, active, and ultra-smart clothing. These textiles are used across numerous applications and offer better communication than other devices, generate electricity, analyze and sense the stimuli, and protect the wearer from environmental hazards.

Product Segment Insights

Of all emerging technologies, nanotechnology and IoT are among the primary contributors to the global adoption of smart clothing. Based on product, the smart clothing market is segmented into apparel, footwear, wearable patches, and others. Ever-changing human nature is a major reason for the continuously updating clothing choices and tastes. Technology has started directing the apparel and textile industry, and it is expected to make the manufacture of apparel products more efficient and independent. Wearable technology brands and wearable technology startups are at the forefront of electronic/IT innovations in smart apparel. Also, IT expertise and vibrant startup ecosystems allow the startups to take a lead in electronically embedded / IT-enabled smart apparel.

Connectivity Insights–Smart Clothing Market

The development of sensors, displays, and smart devices that can be seamlessly integrated into the human body has been a significant trend in the electronics industry in the last decade, such as integration of sensors in smart clothing. Most of the smart clothing articles are connected to users' smartphones via connectivity technologies such as Bluetooth or Wi-Fi. The smart clothing market, based on connectivity, is segmented into, Wi-Fi, Bluetooth, GPS, and RFID.

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Smart Clothing Market: Strategic Insights

smart-clothing-market
Market Size Value inUS$ 1,143.09 Million in 2019
Market Size Value byUS$ 6,418.08 Million by 2027
Growth rateCAGR of 24.4% from 2020-2027
Forecast Period2020-2027
Base Year2020
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The market players focus on new product innovations and developments by integrating advanced technologies and features in their products to compete with the competitors.

  • In 2020, Levi's and Google unveiled new smart jacket Commuter Jacket 2.0, and Google has managed to shrink the battery-powered tag that gives the jacket its smart powers to more than half the size of the original tag.

The Global Smart Clothing Market has been segmented as Follows:

Smart Clothing Market – by Type

  • Passive
  • Active
  • Ultra-Smart

Smart Clothing Market – by Product

  • Apparel
  • Footwear
  • Wearable Patches
  • Others


Smart Clothing Market – byConnectivity

  • Wi-Fi
  • Bluetooth
  • GPS
  • RFID


Smart Clothing Market – by EndUser

  • Healthcare
  • Sport and Fitness
  • Fashion and Lifestyle
  • Military

By Geography

  • North America
    • U.S.
      • Illinois
      • Ohio
      • Michigan
      • Indiana
    • Canada
    • Mexico
  • Europe
    • France
    • Germany
    • Italy
    • Russia
    • UK
    • Rest of Europe
  • Asia Pacific (APAC)
    • South Korea
    • Australia
    • China
    • Taiwan
    • Japan
    • Rest of Asia-Pacific
  • Middle East & Africa (MEA)
    • South Africa
    • Saudi Arabia
    • UAE
    • Rest of MEA
  • South America (SAM)
    • Brazil
    • Rest of MEA


Company Profiles

  • AiQ Smart Clothing Inc.
  • Carre Technologies Inc. (Hexoskin)
  • CUTECIRCUIT
  • Google LLC
  • Jabil Inc.
  • Myontec Ltd
  • Sensoria Inc.
  • Siren Care, Inc.
  • Under Armour, Inc.
  • WEARABLE X      
Report Coverage
Report Coverage

Revenue forecast, Company Analysis, Industry landscape, Growth factors, and Trends

Segment Covered
Segment Covered

Type , Orientation Type , Connectivity , End-User

Regional Scope
Regional Scope

North America, Europe, Asia Pacific, Middle East & Africa, South & Central America

Country Scope
Country Scope

Argentina, Australia, Brazil, Canada, China, France, Germany, India, Italy, Japan, Mexico, Russian Federation, Saudi Arabia, South Africa, South Korea, United Arab Emirates, United Kingdom, United States

Frequently Asked Questions


Which region led the smart clothing market in 2019?

In 2019, North America led the global smart clothing market, followed by Europe and Asia Pacific. The smart clothing market has great potential in the North American market. Nano Technology and IoT further play a crucial role in the products and demands for smart clothing across various industry verticals. North America is a highly advanced and developed industrialized region where a large number of the world’s best manufacturing companies are based.

Which factor is driving the smart clothing market?

Smart textiles have garnered significant popularity in the area of healthcare and related domains because the fabric is in direct contact with its wearer's skin, owing to which it offers the most primary access to non-vital or vital body parameters. In fitness and sports applications, smart fabrics can replace attached or worn sensor devices. The most basic use is to monitor the wearer’s vital data, such as heartbeat, ECG, carotid pulse, respiration, breathing pattern, skin temperature, skin impedance, and physical activity, during normal daily activities. This allows empowering individuals to manage their healthcare needs, thereby promoting preventive healthcare (from illness diagnosis to wellness monitoring).

Which smart clothing type led the smart clothing market?

Passive smart clothing led the smart clothing market in 2019. Passive smart clothing, i.e., e-apparel, is considered the first generation of smart clothing technology; it senses and reacts to the changed environmental conditions. In the 1990s, the initial successful step toward smart wear ability was announced under the Industrial Clothing Division (ICD+) line with the collaborative efforts of Philips and Levi's. The passive smart clothing is made of conventional materials, such as, traditional cotton, polyester and nylon that are used to adapt to the textile design and fit in the external elements.

The List of Companies - Smart Clothing Market

  1. AiQ Smart Clothing Inc. 
  2. Carre Technologies Inc(Hexoskin)           
  3. CUTECIRCUIT    
  4. Myontec Ltd     
  5. Sensoria Inc.     
  6. Under Armour, Inc.        
  7. WEARABLE X     
  8. Jabil Inc.              
  9. Siren Care, Inc. 
  10. Google LLC

The Insight Partners performs research in 4 major stages: Data Collection & Secondary Research, Primary Research, Data Analysis and Data Triangulation & Final Review.

  1. Data Collection and Secondary Research:

As a market research and consulting firm operating from a decade, we have published many reports and advised several clients across the globe. First step for any study will start with an assessment of currently available data and insights from existing reports. Further, historical and current market information is collected from Investor Presentations, Annual Reports, SEC Filings, etc., and other information related to company’s performance and market positioning are gathered from Paid Databases (Factiva, Hoovers, and Reuters) and various other publications available in public domain.

Several associations trade associates, technical forums, institutes, societies and organizations are accessed to gain technical as well as market related insights through their publications such as research papers, blogs and press releases related to the studies are referred to get cues about the market. Further, white papers, journals, magazines, and other news articles published in the last 3 years are scrutinized and analyzed to understand the current market trends.

  1. Primary Research:

The primarily interview analysis comprise of data obtained from industry participants interview and answers to survey questions gathered by in-house primary team.

For primary research, interviews are conducted with industry experts/CEOs/Marketing Managers/Sales Managers/VPs/Subject Matter Experts from both demand and supply side to get a 360-degree view of the market. The primary team conducts several interviews based on the complexity of the markets to understand the various market trends and dynamics which makes research more credible and precise.

A typical research interview fulfils the following functions:

  • Provides first-hand information on the market size, market trends, growth trends, competitive landscape, and outlook
  • Validates and strengthens in-house secondary research findings
  • Develops the analysis team’s expertise and market understanding

Primary research involves email interactions and telephone interviews for each market, category, segment, and sub-segment across geographies. The participants who typically take part in such a process include, but are not limited to:

  • Industry participants: VPs, business development managers, market intelligence managers and national sales managers
  • Outside experts: Valuation experts, research analysts and key opinion leaders specializing in the electronics and semiconductor industry.

Below is the breakup of our primary respondents by company, designation, and region:

Research Methodology

Once we receive the confirmation from primary research sources or primary respondents, we finalize the base year market estimation and forecast the data as per the macroeconomic and microeconomic factors assessed during data collection.

  1. Data Analysis:

Once data is validated through both secondary as well as primary respondents, we finalize the market estimations by hypothesis formulation and factor analysis at regional and country level.

  • 3.1 Macro-Economic Factor Analysis:

We analyse macroeconomic indicators such the gross domestic product (GDP), increase in the demand for goods and services across industries, technological advancement, regional economic growth, governmental policies, the influence of COVID-19, PEST analysis, and other aspects. This analysis aids in setting benchmarks for various nations/regions and approximating market splits. Additionally, the general trend of the aforementioned components aid in determining the market's development possibilities.

  • 3.2 Country Level Data:

Various factors that are especially aligned to the country are taken into account to determine the market size for a certain area and country, including the presence of vendors, such as headquarters and offices, the country's GDP, demand patterns, and industry growth. To comprehend the market dynamics for the nation, a number of growth variables, inhibitors, application areas, and current market trends are researched. The aforementioned elements aid in determining the country's overall market's growth potential.

  • 3.3 Company Profile:

The “Table of Contents” is formulated by listing and analyzing more than 25 - 30 companies operating in the market ecosystem across geographies. However, we profile only 10 companies as a standard practice in our syndicate reports. These 10 companies comprise leading, emerging, and regional players. Nonetheless, our analysis is not restricted to the 10 listed companies, we also analyze other companies present in the market to develop a holistic view and understand the prevailing trends. The “Company Profiles” section in the report covers key facts, business description, products & services, financial information, SWOT analysis, and key developments. The financial information presented is extracted from the annual reports and official documents of the publicly listed companies. Upon collecting the information for the sections of respective companies, we verify them via various primary sources and then compile the data in respective company profiles. The company level information helps us in deriving the base number as well as in forecasting the market size.

  • 3.4 Developing Base Number:

Aggregation of sales statistics (2020-2022) and macro-economic factor, and other secondary and primary research insights are utilized to arrive at base number and related market shares for 2022. The data gaps are identified in this step and relevant market data is analyzed, collected from paid primary interviews or databases. On finalizing the base year market size, forecasts are developed on the basis of macro-economic, industry and market growth factors and company level analysis.

  1. Data Triangulation and Final Review:

The market findings and base year market size calculations are validated from supply as well as demand side. Demand side validations are based on macro-economic factor analysis and benchmarks for respective regions and countries. In case of supply side validations, revenues of major companies are estimated (in case not available) based on industry benchmark, approximate number of employees, product portfolio, and primary interviews revenues are gathered. Further revenue from target product/service segment is assessed to avoid overshooting of market statistics. In case of heavy deviations between supply and demand side values, all thes steps are repeated to achieve synchronization.

We follow an iterative model, wherein we share our research findings with Subject Matter Experts (SME’s) and Key Opinion Leaders (KOLs) until consensus view of the market is not formulated – this model negates any drastic deviation in the opinions of experts. Only validated and universally acceptable research findings are quoted in our reports.

We have important check points that we use to validate our research findings – which we call – data triangulation, where we validate the information, we generate from secondary sources with primary interviews and then we re-validate with our internal data bases and Subject matter experts. This comprehensive model enables us to deliver high quality, reliable data in shortest possible time.

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