Smart clothes are also known as high-tech clothing, smart wear, electronic textiles, monitor clothing, or smart fabrics, which are clothing items that have been enhanced with technology to add functionality beyond that of traditional use. They provide biometric data such as temperature, pulse rate, muscle stretch, and heart rhythm. The global Smart Clothing market is expected to rise significantly due to the growing adoption of smart clothes in the sports and healthcare industries.
Smart clothing supports users to manage their health and wellness efficiently. It monitors the physical state and tracks the training progress of the user. It also offers users the data to predict changes in health and avoid injuries. Again, it helps to increase the workout efficiency and improve the performance of the user. All these crucial factors boost the demand for smart clothing in the market. Eventually, it propels the growth of the global Smart Clothing market.
Furthermore, increasing awareness about physical fitness with the growing demand for smart shirts, smart socks, smart work clothes, smart sleepwear, etc. is helping in the growth of the Smart Clothing market. Additionally, the rising adoption of smart clothes in the sports and healthcare sector is enhancing the demand for smart clothing globally. Ultimately, it intensifies the growth of the market to a large extend.
On the other hand, the lack of customer awareness about smart clothing and the high cost of the product are some main factors that hamper the demand for smart clothing. Additionally, technological problems related to smart clothes are a challenge for the growth of the smart clothing market.
Covid-19 Impact on Smart Clothing Market
Consumers across the globe are adjusting to the new normal and there is a noteworthy discrepancy in consumer behavior. Consumer's purchasing habits, behavior, and attitudes have changed in light of COVID-19. People are shopping very consciously and are majorly centered on basic needs and are buying locally. Consumers are using digital commerce to play, learn, and connect to manage isolation and follow social distancing policy. The covid-19 has consistently impacted the shopping behavior of 9 in 10 consumers. Nearly 30-50 percent of the consumers have shifted towards online shopping from March 2020 to December 2020.
Smart Clothing Market Segment Overview
Based on Product, the Upper wear segment growing at the highest rate in the forecast period. The growing demand for upper wear, such as smart shirts, jackets, and vests, provides several growth opportunities for the market. A smart shirt can provide biometric data such as heart rate, breathing rate, and muscle activity, which are used to improve performance and workout plans professionally. In addition to this, data is taken in real-time and is sent to all the companion app, providing insights on a range of sporty metrics, including intensity and recovery, calories burned, fatigue level, and sleep quality. Therefore, the rising use of upper wear for many end-user applications is anticipated to create large opportunities for smart clothing providers throughout the forecast period.
Smart Clothing Market, By Product
· Upper wear
· Lower wear
· Innerwear
· Others (socks, etc.)
Smart Clothing Market, By End-User
· Sports
· Healthcare
· Fashion
· Others
Smart Clothing Market, By Price
· Low
· Medium
· High
Smart Clothing Market, By Distribution Channel
- Online
- E-commerce Websites
- Company Owned Websites
- Offline
- Supermarket/Hypermarket
- Specialty Stores
- Others
In terms of region, North America dominated the global Smart Clothing market in 2020. This is on account of growing awareness about health and the rising demand for smart clothes in this region. In addition to this, the sophisticated lifestyle of people has been boosting the smart clothing market in North America, mainly in the US and Canada. As well, the Smart Clothing market in the Asia Pacific and Europe is projected to expand at a considerable rate in the next few years. This is mainly because of growing awareness about health and available products.
Smart Clothing Market, By Geography
· North America (US & Canada)
· Europe (UK, Germany, France, Italy, Spain, Russia & Rest of Europe)
· Asia-Pacific (Japan, China, India, Australia, & South Korea, & Rest of Asia-Pacific)
· LAMEA (Brazil, Saudi Arabia, UAE & Rest of LAMEA)
Smart Clothing Market, Key Players
· Carre Technologies Inc.
· CUTECIRCUIT
· Sensoria Inc.
· Tex-Ray Industrial Co. Ltd.
· Wearable X
· Toray Industries, Inc.
· DuPont
· Schoeller Textiles AG
· AiQ Smart Clothing
· Kolon Industries Inc.
1. Introduction
- 1.1. Research Scope
- 1.2. Market Segmentation
- 1.3. Research Methodology
- 1.4. Definitions and Assumptions
2. Executive Summary
3. Market Dynamics
- 3.1. Market Drivers
- 3.2. Market Restraints
- 3.3. Market Opportunities
4. Key Insights
- 4.1. Key Emerging Trends – For Major Countries
- 4.2. Latest Technological Advancement
- 4.3. Regulatory Landscape
- 4.4. Industry SWOT Analysis
- 4.5. Porters Five Forces Analysis
5. Global Smart Clothing Market Analysis (USD Billion), Insights and Forecast, 2020-2027
- 5.1. Key Findings / Summary
- 5.2. Market Analysis, Insights and Forecast – By Product
- 5.2.1. Upper wear
- 5.2.2. Lower wear
- 5.2.3. Innerwear
- 5.2.4. Others (socks, etc.)
- 5.3. Market Analysis, Insights and Forecast – By End-User
- 5.3.1. Sports
- 5.3.2. Healthcare
- 5.3.3. Fashion
- 5.3.4. Others
- 5.4. Market Analysis, Insights and Forecast – By Price
- 5.4.1. Low
- 5.4.2. Medium
- 5.4.3. High
- 5.5. Market Analysis, Insights and Forecast – By Distribution Channel
- 5.5.1. Online
- 5.5.1.1. E-commerce Websites
- 5.5.1.2. Company Owned Websites
- 5.5.2. Offline
- 5.5.2.1. Supermarket/Hypermarket
- 5.5.2.2. Specialty Stores
- 5.5.2.3. Others
- 5.5.1. Online
- 5.6.1. North America
- 5.6.2. Europe
- 5.6.3. Asia Pacific
- 5.6.4. Latin America, Middle East and Africa
6. North America Smart Clothing Market Analysis (USD Billion), Insights and Forecast, 2020-2027
- 6.1. Key Findings / Summary
- 6.2. Market Analysis, Insights and Forecast – By Product
- 6.2.1. Upper wear
- 6.2.2. Lower wear
- 6.2.3. Innerwear
- 6.2.4. Others (socks, etc.)
- 6.3. Market Analysis, Insights and Forecast – By End-User
- 6.3.1. Sports
- 6.3.2. Healthcare
- 6.3.3. Fashion
- 6.3.4. Others
- 6.4. Market Analysis, Insights and Forecast – By Price
- 6.4.1. Low
- 6.4.2. Medium
- 6.4.3. High
- 6.5. Market Analysis, Insights and Forecast – By Distribution Channel
- 6.5.1. Online
- 6.5.1.1. E-commerce Websites
- 6.5.1.2. Company Owned Websites
- 6.5.2. Offline
- 6.5.2.1. Supermarket/Hypermarket
- 6.5.2.2. Specialty Stores
- 6.5.2.3. Others
- 6.5.1. Online
- 6.6.1. U.S.
- 6.6.2. Canada
7. Europe Smart Clothing Market Analysis (USD Billion), Insights and Forecast, 2020-2027
- 7.1. Key Findings / Summary
- 7.2. Market Analysis, Insights and Forecast – By Product
- 7.2.1. Upper wear
- 7.2.2. Lower wear
- 7.2.3. Innerwear
- 7.2.4. Others (socks, etc.)
- 7.3. Market Analysis, Insights and Forecast – By End-User
- 7.3.1. Sports
- 7.3.2. Healthcare
- 7.3.3. Fashion
- 7.3.4. Others
- 7.4. Market Analysis, Insights and Forecast – By Price
- 7.4.1. Low
- 7.4.2. Medium
- 7.4.3. High
- 7.5. Market Analysis, Insights and Forecast – By Distribution Channel
- 7.5.1. Online
- 7.5.1.1. E-commerce Websites
- 7.5.1.2. Company Owned Websites
- 7.5.2. Offline
- 7.5.2.1. Supermarket/Hypermarket
- 7.5.2.2. Specialty Stores
- 7.5.2.3. Others
- 7.5.1. Online
- 7.6.1. UK
- 7.6.2. Germany
- 7.6.3. France
- 7.6.4. Italy
- 7.6.5. Spain
- 7.6.6. Russia
- 7.6.7. Rest of Europe
8. Asia Pacific Smart Clothing Market Analysis (USD Billion), Insights and Forecast, 2020-2027
- 8.1. Key Findings / Summary
- 8.2. Market Analysis, Insights and Forecast – By Product
- 8.2.1. Upper wear
- 8.2.2. Lower wear
- 8.2.3. Innerwear
- 8.2.4. Others (socks, etc.)
- 8.3. Market Analysis, Insights and Forecast – By End-User
- 8.3.1. Sports
- 8.3.2. Healthcare
- 8.3.3. Fashion
- 8.3.4. Others
- 8.4. Market Analysis, Insights and Forecast – By Price
- 8.4.1. Low
- 8.4.2. Medium
- 8.4.3. High
- 8.5. Market Analysis, Insights and Forecast – By Distribution Channel
- 8.5.1. Online
- 8.5.1.1. E-commerce Websites
- 8.5.1.2. Company Owned Websites
- 8.5.2. Offline
- 8.5.2.1. Supermarket/Hypermarket
- 8.5.2.2. Specialty Stores
- 8.5.2.3. Others
- 8.5.1. Online
- 8.6.1. China
- 8.6.2. India
- 8.6.3. Japan
- 8.6.4. Australia
- 8.6.5. South East Asia
- 8.6.6. Rest of Asia Pacific
9. Latin America, Middle East and Africa Smart Clothing Market Analysis (USD Billion), Insights and Forecast, 2020-2027
- 9.1. Key Findings / Summary
- 9.2. Market Analysis, Insights and Forecast – By Product
- 9.2.1. Upper wear
- 9.2.2. Lower wear
- 9.2.3. Innerwear
- 9.2.4. Others (socks, etc.)
- 9.3. Market Analysis, Insights and Forecast – By End-User
- 9.3.1. Sports
- 9.3.2. Healthcare
- 9.3.3. Fashion
- 9.3.4. Others
- 9.4. Market Analysis, Insights and Forecast – By Price
- 9.4.1. Low
- 9.4.2. Medium
- 9.4.3. High
- 9.5. Market Analysis, Insights and Forecast – By Distribution Channel
- 9.5.1. Online
- 9.5.1.1. E-commerce Websites
- 9.5.1.2. Company Owned Websites
- 9.5.2. Offline
- 9.5.2.1. Supermarket/Hypermarket
- 9.5.2.2. Specialty Stores
- 9.5.2.3. Others
- 9.5.1. Online
- 9.6.1. Brazil
- 9.6.2. Saudi Arabia
- 9.6.3. UAE
- 9.6.4. Rest of LAMEA
10. Competitive Analysis
- 10.1. Company Market Share Analysis, 2018
- 10.2. Key Industry Developments
- 10.3. Company Profile
- 10.4. Carre Technologies Inc.
- 10.4.1. Business Overview
- 10.4.2. Segment 1 & Service Offering
- 10.4.3. Overall Revenue
- 10.4.4. Geographic Presence
- 10.4.5. Recent Development
- 10.5. CUTECIRCUIT
- 10.6. Sensoria Inc.
- 10.7. Tex-Ray Industrial Co. Ltd.
- 10.8. Wearable X
- 10.9. Toray Industries, Inc.
- 10.10. DuPont
- 10.11. Schoeller Textiles AG
- 10.12. AiQ Smart Clothing
Data Library Research are conducted by industry experts who offer insight on industry structure, market segmentations technology assessment and competitive landscape (CL), and penetration, as well as on emerging trends. Their analysis is based on primary interviews (~ 80%) and secondary research (~ 20%) as well as years of professional expertise in their respective industries. Adding to this, by analysing historical trends and current market positions, our analysts predict where the market will be headed for the next five years. Furthermore, the varying trends of segment & categories geographically presented are also studied and the estimated based on the primary & secondary research.
In this particular report from the supply side Data Library Research has conducted primary surveys (interviews) with the key level executives (VP, CEO’s, Marketing Director, Business Development Manager and SOFT) of the companies that active & prominent as well as the midsized organization
FIGURE 1: DLR RESEARH PROCESS
Extensive primary research was conducted to gain a deeper insight of the market and industry performance. The analysis is based on both primary and secondary research as well as years of professional expertise in the respective industries.
In addition to analysing current and historical trends, our analysts predict where the market is headed over the next five years.
It varies by segment for these categories geographically presented in the list of market tables. Speaking about this particular report we have conducted primary surveys (interviews) with the key level executives (VP, CEO’s, Marketing Director, Business Development Manager and many more) of the major players active in the market.
Secondary ResearchSecondary research was mainly used to collect and identify information useful for the extensive, technical, market-oriented, and Friend’s study of the Global Extra Neutral Alcohol. It was also used to obtain key information about major players, market classification and segmentation according to the industry trends, geographical markets, and developments related to the market and technology perspectives. For this study, analysts have gathered information from various credible sources, such as annual reports, sec filings, journals, white papers, SOFT presentations, and company web sites.
Market Size EstimationBoth, top-down and bottom-up approaches were used to estimate and validate the size of the Global market and to estimate the size of various other dependent submarkets in the overall Extra Neutral Alcohol. The key players in the market were identified through secondary research and their market contributions in the respective geographies were determined through primary and secondary research.
Forecast Model
