Smart Textile Market is expected to reach US $18.47 billion by 2027, thanks to growth in the active/ultra-smart textile segment. The report analyzes Global Smart Textile market dynamics by region and applications.
Smart Textile Market Overview:The global smart textile market was valued at US $3.21 Bn. in 2020, and it is expected to reach US $18.47 Bn. by 2027 with a CAGR of 28.40% during the forecast period. Smart textiles (E-textiles) are fabrics with incorporated digital components like light (including small processors) and a battery as well as electronics. Fabrics designed with innovative technologies that provide added value to the wearer are referred to as "smart textiles." "What makes smart fabrics remarkable is that they have the power to do many things those regular fabrics cannot, like transform, communicate, carry energy, and even grow," says Pailes-Friedman of the Pratt Institute. Aesthetic and performance-enhancing smart textiles can be divided into two groups. Fabrics that light up and fabrics that change colour are two examples of aesthetic fabrics. Some of these fabrics collect energy from their surroundings by capturing vibrations, sound, or heat and reacting to them. The colour changing and lighting system can also be implemented by inserting electronics into the cloth. Smart textiles that improve performance are designed for use in athletics, extreme sports, and military applications. Fabrics that regulate body temperature, manage muscle vibration, and reduce wind resistance, for example, may help all athletes to perform better. To know about the Research Methodology :- Request Free Sample Report 2020 is considered a base year however 2020's numbers are on the real output of the companies in the market. Special attention is given to 2020 and the effect of lockdown on the demand and supply, and also the impact of lockdown for the next two years on the market. Some companies have done well in lockdown also and specific strategic analysis of those companies is done in the report.
Global Smart Textile Market Dynamics:Smart Textiles Are Adopting Advanced Technologies: The textile market has been changed by new technologies such as the Internet of Things (IoT) and artificial intelligence (AI). New smart gear is being developed incorporating Bluetooth Low Energy (BLE), artificial intelligence (AI), edge computing, and cloud data to monitor and share the wearer's data, such as heart rate, blood pressure, sweat, and temperature. AI can access and gather historical and real-time operational data, as well as deliver insights that can help the wearer be more productive. Some of the most common AI applications in textile manufacturing include pattern verification, defect analysis, and color correction. AI has enabled the development of smart clothes that make use of IoT and electronic sensors to provide a better user experience. Textiles with integrated technologies can deliver a more comfortable and health-conscious experience. Because garments cover so much of the body, smart textiles have the potential to give a variety of physiological data. Also, smart textiles rely heavily on the Internet of Things (IoT) and Bluetooth Low Energy (BLE) technology for a long-lasting energy source from their internal battery. Smart Clothes Have A Low Level Of Awareness: Smart clothing is not as popular as other wearables, according to the GMI APAC Wearable Technology Survey. Only 20% of those polled claimed they were aware of smart clothing. Nonetheless, forecasts are that smart textiles are expected to become more widespread. According to IDC's Worldwide Quarterly Wearable Device Tracker, the e-textiles market is expected to have a lot of capacity, with a CAGR of 77% through 2021. Multi-Featured and Hybridized Smart Textile Design: People generally own multiple mobile devices, such as smartphones and tablets, and they seek compact gadgets that can combine all computing and monitoring functions into a single device. This opens the door to the creation of multi-function and hybrid smart textiles that not only make life easier for consumers but also integrate various wearable gadgets. For example, The National University of Singapore (NUS) has developed conductive textiles that can dynamically connect many wearable devices at the same time. This wireless body sensor network enables devices to communicate data with 1,000 times the signal strength of traditional technologies. They'll be implemented in human-machine interfaces, health monitoring, and medical interventions, according to the researchers. Lack of Regulations and Standards for Smart Textiles: The lack of industry standards and regulations is likely to be a major hindrance to market development since it makes it difficult for smart fabric companies to scale up and develop innovative and incremental technologies. The manufacture of smart textiles can be hazardous to the environment and human health. De-sizing, dyeing, bleaching, neutralizing, scouring, mercerizing, printing, and finishing are some of the primary activities in the textile industry. These procedures result in the release of high-level harmful effluents, which contaminate soil and pollute the air, surface water, and groundwater. To manage the pollutants emitted by the textile sector, stringent environmental regulations must be imposed. Thermal Concerns and Product Safety: The lack of industry standards and regulations is likely to be a major hindrance to market development since it makes it difficult for smart fabric companies to scale up and develop innovative and incremental technologies. The manufacture of smart textiles can be hazardous to the environment and human health. De-sizing, dyeing, bleaching, neutralizing, scouring, mercerizing, printing, and finishing are some of the primary activities in the textile industry. These procedures result in the release of high-level harmful effluents, which contaminate soil and pollute the air, surface water, and groundwater. To manage the pollutants emitted by the textile sector, stringent environmental regulations must be imposed. Technical Challenges for Smart Textiles: • There is a lot of information: With the introduction of a large number of applications, sensor elements, and IoT, the volume of data grows almost in geometric development. Some data can be quite difficult to categorize. • Data analysis is difficult: To turn data into information, demand approaches and systems that can ensure data integrity, correctness, and reliability. These qualities are particularly significant in the field of safety and health. • A wide range of data: Data can be challenging to classify at times. The first reason is that there are many different types of sensors that collect various types of data. Another reason is the unpredictability of data. It can be received at various periods or with interference. In conclusion, output data may be unreliable. As a result, dividing or integrating heterogeneous data, comparing and learning requires additional instruments and effort. • The need to extend the battery's life: The more statistics a smart garment can collect, the longer its battery life. Nonetheless, data transmission demands the use of energy. As a result, a balance between conserving battery power and data throughput must be struck. Filtering data and just transmitting what is required is one option, however, this results in the loss of some data. • The difficulty of securing massive data: It's difficult to maintain data protection, not only processed data but also raw data. The goal of data brokers is smart clothing, as well as wearables in general. • There is no universal code of ethics: The bulk of companies in the big data market use patented data formats. The absence of standards makes it harder to transmit data sets. The task at hand is to select a single open format in which to receive data and conduct their principal analysis. Consumer Concerns Related to Smart Textiles: • Smart textiles costs: According to a Lightspeed GMI poll, around 15% of end-users believe wearable outfits are too expensive to purchase. Many respondents are willing to buy smart clothing if prices fall. • Irrelevance: About half of potential customers are unsure whether or not they will wear smart clothing daily. It is possible to presume that smart clothing is the same tale based on the experience of others who have used wearables. Smartwatches, for instance, have a 29% abandonment rate, while fitness trackers have a 30% abandonment rate. Such high rates are linked to gadgets becoming bored or breaking. The second customer concern, a lack of value, is frequently linked to inefficiency. • Lack of worth: According to Nielsen's Connected Life Report, more than 80% of respondents responded that functionality is the most essential aspect in deciding whether or not to buy something. Comfort was cited by somewhat less than 80% of respondents as a significant consideration. The following is a thorough list of the most significant qualities for smart garment wearers: Usefulness Data Accuracy Battery Life Endurance Comfort • Personal safety is at risk: The security of data provided by wearables is a controversial topic. Smart clothing is most commonly used in the military, medicine, and sports. Data is important not only for the other party, such as the military leadership, doctor, team, or coach but also for the smart clothes manufacturers. Smart clothing has sensors built-in. The Health Insurance Portability and Accountability Act does not cover smart clothes that track some healthy indicators such as physical activity, blood glucose level, or sleeping habits. It implies that such information could be shared with third parties.
Global Smart Textile Market Segment Analysis:Based on Type, the smart textile market is segmented as, passive smart textile, active/ultra-smart textile. In 2020, the active/ultra-smart textile segment was dominant and held almost xx% of the overall market share in terms of revenue. Electronic components such as sensors and actuators are included in active/ultra-smart textiles, allowing them to sense and react to stimuli. They're implemented to make outfits for firefighters, athletes, military personnel (bulletproof jackets), and other professionals. When a textile can react to the surroundings, it can make using textile-based items more comfortable. Detailed information about each segment is covered in the MMR’s report. Based on Application, the smart textile market is segmented as follows, shape memory textiles, color-changing textiles, phase-changing textiles, and wearable smart electronic textiles. In 2020, the wearable smart electronic textiles segment was dominant and held almost xx% of the overall market in terms of revenue. Wearable smart electronic textiles improve the reliability, health, and comfort of people's lives in a variety of ways. Temperature change, light, moisture, and other environmental stimuli can be detected and reacted to by wearable smart electronic textiles, which can vary according to external conditions, store data, and use that data to provide information and communication. In this respect, they are seen as intelligent technologies capable of assisting human vital tasks such as sensation, movement, communication, action, and adaptation to changing environmental conditions. Detailed information about each segment is covered in the MMR’s report.
Global Smart Textile Market Regional Insights:In 2020, the smart textiles market in North America held xx% of the overall market share in terms of value. One of the important factors that have led to the North American smart textiles market's leading position is the significant demand for smart textiles in the US, particularly from the military and protection, healthcare, and fitness verticals and sports. Also, North America is home to several significant smart textile producers, including DuPont (US), Gentherm (US), Sensoria (US), Alphabet (US), and Jabil (US), all of which are favourably supporting the regional market's growth. Detailed information about each region is covered in the MMR’s report. PORTER, PESTEL analysis with the potential impact of micro-economic factors of the market have been presented in the report. External as well as internal factors that are supposed to affect the business positively or negatively have been analyzed, which will give a clear futuristic view of the industry to the decision-makers. The report also helps in understanding the global market dynamics, structure by analyzing the market segments and projecting the global market size. Clear representation of competitive analysis of key players by product, price, financial position, product portfolio, growth strategies, and regional presence in the global market makes the report investor's guide.
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Global Smart Textile Market Report Coverage Details Base Year: 2020 Forecast Period: 2021-2027 Historical Data: 2016 to 2020 Market Size in 2020: US $ 59.95 Bn. Forecast Period 2021 to 2027 CAGR: 5.87% Market Size in 2027: US $ 89.37 Bn. Segments Covered: by Type • Passive Smart Textile • Active/Ultra-Smart Textile by Application • Shape Memory Textiles • Color-Changing Textiles • Phase-Changing Textiles • Wearable Smart Electronic Textiles
Global Smart Textile Market, by Region• North America • Europe • Asia Pacific • The Middle East and Africa • South America
Global Smart Textile Market Key Players• DuPont • Alphabet • Jabil • AIQ Smart Clothing • Sensoria • Gentherm • Interactive Wear • Outlast Technologies • Adidas • Hexoskin • Intelligent Clothing Limited • International Fashion Machines Inc. • Schoeller Textiles AG • Textronics Inc. • Google Inc. • Vista Medical Limited • Others
Frequently Asked Questions:1. What is the forecast period considered for the Smart Textile market report? Ans. The forecast period for the global smart textile market is 2021-2027. 2. Which key factors are hindering the growth of the Smart Textile market? Ans. The technical challenges and consumer worries regarding the production and consumption of smart textiles are key factors expected to hinder the market growth during the forecast period. 3. What is the compound annual growth rate (CAGR) of the Smart Textile market for the next 6 years? Ans. The global smart textile market is expected to grow at a CAGR of 28.40% during the forecast period (2021-2027). 4. What are the key factors driving the growth of the Smart Textile market? Ans. The adoption of advanced technologies and design opportunities for multi-featured and hybridized smart textiles are the key factor expected to drive the growth of the market during the forecast period. 5. Which are the worldwide major key players covered for the Smart Textile market report? Ans. DuPont, Alphabet, Jabil, AIQ Smart Clothing, Sensoria, Gentherm, Interactive Wear, Outlast Technologies, Adidas, Hexoskin, Intelligent Clothing Limited, International Fashion Machines Inc., Schoeller Textiles AG, Textronics Inc., Google Inc., Vista Medical Limited, and Others.
1. Global Smart Textile Market: Research Methodology 2. Global Smart Textile Market: Executive Summary 2.1. Market Overview and Definitions 2.1.1. Introduction to Global Smart Textile Market 2.2. Summary 2.2.1. Key Findings 2.2.2. Recommendations for Investors 2.2.3. Recommendations for Market Leaders 2.2.4. Recommendations for New Market Entry 3. Global Smart Textile Market: Competitive Analysis 3.1. MMR Competition Matrix 3.1.1. Market Structure by region 3.1.2. Competitive Benchmarking of Key Players 3.2. Consolidation in the Market 3.2.1 M&A by region 3.3. Key Developments by Companies 3.4. Market Drivers 3.5. Market Restraints 3.6. Market Opportunities 3.7. Market Challenges 3.8. Market Dynamics 3.9. PORTERS Five Forces Analysis 3.10. PESTLE 3.11. Regulatory Landscape by region • North America • Europe • Asia Pacific • The Middle East and Africa • Latin America 3.12. COVID-19 Impact 4. Global Smart Textile Market Segmentation 4.1. Global Smart Textile Market, by Type (2020-2027) • Passive Smart Textile • Active/Ultra-Smart Textile 4.2. Global Smart Textile Market, by Application (2020-2027) • Shape Memory Textiles • Color-Changing Textiles • Phase-Changing Textiles • Wearable Smart Electronic Textiles 5. North America Smart Textile Market (2020-2027) 5.1. Global Smart Textile Market, by Type (2020-2027) • Passive Smart Textile • Active/Ultra-Smart Textile 5.2. Global Smart Textile Market, by Application (2020-2027) • Shape Memory Textiles • Color-Changing Textiles • Phase-Changing Textiles • Wearable Smart Electronic Textiles 5.3. North America Smart Textile Market, by Country (2020-2027) • United States • Canada • Mexico 6. European Smart Textile Market (2020-2027) 6.1. European Smart Textile Market, by Type (2020-2027) 6.2. European Smart Textile Market, by Application (2020-2027) 6.3. European Smart Textile Market, by Country (2020-2027) • UK • France • Germany • Italy • Spain • Sweden • Austria • Rest Of Europe 7. Asia Pacific Smart Textile Market (2020-2027) 7.1. Asia Pacific Smart Textile Market, by Type (2020-2027) 7.2. Asia Pacific Smart Textile Market, by Application (2020-2027) 7.3. Asia Pacific Smart Textile Market, by Country (2020-2027) • China • India • Japan • South Korea • Australia • ASEAN • Rest Of APAC 8. The Middle East and Africa Smart Textile Market (2020-2027) 8.1. The Middle East and Africa Smart Textile Market, by Type (2020-2027) 8.2. The Middle East and Africa Smart Textile Market, by Application (2020-2027) 8.3. The Middle East and Africa Smart Textile Market, by Country (2020-2027) • South Africa • GCC • Egypt • Nigeria • Rest Of ME&A 9. Latin America Smart Textile Market (2020-2027) 9.1. Latin America Smart Textile Market, by Type (2020-2027) 9.2. Latin America Smart Textile Market, by Application (2020-2027) 9.3. Latin America Smart Textile Market, by Country (2020-2027) • Brazil • Argentina • Rest Of Latin America 10. Company Profile: Key players 10.1. DuPont 10.1.1. Company Overview 10.1.2. Financial Overview 10.1.3. Global Presence 10.1.4. Capacity Portfolio 10.1.5. Business Strategy 10.1.6. Recent Developments 10.2. Alphabet 10.3. Jabil 10.4. AIQ Smart Clothing 10.5. Sensoria 10.6. Gentherm 10.7. Interactive Wear 10.8. Outlast Technologies 10.9. Adidas 10.10. Hexoskin 10.11. Intelligent Clothing Limited 10.12. International Fashion Machines Inc. 10.13. Schoeller Textiles AG 10.14. Textronics Inc. 10.15. Google Inc. 10.16. Vista Medical Limited 10.17. Others