El mercado de ropa inteligente fue valorado en 1.143,09 millones de dólares en 2019 y se prevé que alcance los 6.418,08 millones de dólares en 2027; Se espera que crezca a una tasa compuesta anual del 24,4% durante 2020-2027.
La ropa inteligente se diseña y fabrica con la integración de tecnologías inteligentes para ofrecer tejidos con diferentes funcionalidades. El creciente uso de ropa inteligente en sectores como la salud, el ejército, los deportes y la defensa puede influir en el crecimiento del mercado en los próximos años. El aumento de los casos de lesiones durante las actividades deportivas, junto con el aumento de las inversiones en el sector militar y militar. El sector de defensa puede aumentar la demanda del producto. La alta demanda de seguimiento de la actividad corporal mediante sensores puede estimular el crecimiento del mercado. Es probable que la creciente conciencia de los consumidores sobre el fitness impulse el crecimiento del mercado. Cambiar la preferencia de los atletas por la ropa inteligente para prevenir posibles lesiones y mejorar su rendimiento puede estimular el crecimiento del mercado durante el período previsto. El crecimiento del mercado global también está liderado por el aumento del gasto por sectores, como la atención sanitaria, los deportes y la salud. fitness y el sector de la industria de la moda.
Los textiles inteligentes han ganado una gran popularidad en el área de la salud y ámbitos relacionados porque el tejido está en contacto directo con la piel del usuario, por lo que ofrece el acceso más primario a parámetros corporales vitales o no vitales. En aplicaciones deportivas y de fitness, los tejidos inteligentes pueden sustituir los dispositivos sensores conectados o desgastados. El uso más básico es monitorear los datos vitales del usuario, como latidos cardíacos, ECG, pulso carotídeo, respiración, patrón respiratorio, temperatura de la piel, impedancia de la piel y actividad física, durante las actividades diarias normales. Esto permite empoderar a las personas para gestionar sus necesidades de atención médica, promoviendo así la atención médica preventiva (desde el diagnóstico de enfermedades hasta el seguimiento del bienestar). La ropa inteligente tendrá una aplicación fundamental en el control remoto de pacientes con enfermedades crónicas o en rehabilitación, especialmente en aplicaciones telemédicas. Con materiales activos, la recuperación puede respaldarse mediante la detección de movimiento, corrección o medicación administrada a través de la piel.
IMPACTO DEL COVID-19 EN EL MERCADO DE ROPA INTELIGENTE
Los países de todo el mundo fueron testigos de un aumento sin precedentes en el número de casos confirmados, lo que resultó en un bloqueo a gran escala en diferentes regiones. Además, el sector de servicios había sido testigo de un impacto significativo de la pandemia global debido a la disminución de los servicios junto con el despido de empleados en todo el mundo. diferentes verticales de servicios en todo el canal de distribución, como minoristas, proveedores, distribuidores y proveedores de entrega. Los minoristas y las marcas enfrentan varios desafíos a corto plazo en materia de salud y seguridad, cadena de suministro, fuerza laboral, flujo de caja, demanda de los consumidores y marketing. Además, el creciente número de casos continúa impactando negativamente la producción, distribución y operación continua de la cadena de suministro para el mercado de ropa inteligente en todo el mundo.
regiones lucrativas para el mercado de ropa inteligente
Perspectivas del mercado: mercado de ropa inteligente
Se espera que la solución de prendas para la parte superior del cuerpo impulse El crecimiento del mercado en el futuro
La creciente demanda de prendas superiores, como camisas, chaquetas y chalecos elegantes, crea oportunidades de crecimiento en el mercado. Una camiseta inteligente puede proporcionar datos biométricos como frecuencia cardíaca, frecuencia respiratoria y actividad muscular, que se utilizan profesionalmente para optimizar el rendimiento y los planes de entrenamiento. Los datos se capturan y envían a toda la aplicación complementaria, lo que brinda información sobre una variedad de métricas deportivas, que incluyen intensidad y recuperación, calorías quemadas, nivel de fatiga y calidad del sueño. Por lo tanto, se espera que el uso cada vez mayor de ropa superior para diversas aplicaciones de usuario final brinde oportunidades a los proveedores de ropa inteligente durante el período de pronóstico. Bioman+, por ejemplo, es una solución básica para prendas de la parte superior del cuerpo para una amplia gama de soluciones de limpieza. Se compone de electrodos textiles conductores a base de fibras para detectar la actividad eléctrica del cuerpo humano y de hilo conductor para transmitir señales eléctricas al módulo de procesamiento y transmisión fijado a la ropa. Bioman+ ha sido validado con la mayoría de los monitores de frecuencia cardíaca y monitores líderes en la industria. Proveedores de módulos de ECG. Continúa siendo el socio de ropa inteligente preferido por los nuevos proveedores de módulos que ingresan a este segmento en rápido crecimiento.
Type Segment Insights
Ropa inteligente está diseñado y fabricado con la integración de tecnologías inteligentes para ofrecer tejidos con funcionalidades inteligentes. El mercado de ropa inteligente, por tipo, se segmenta en ropa pasiva, activa y ultrainteligente. Estos textiles se utilizan en numerosas aplicaciones y ofrecen una mejor comunicación que otros dispositivos, generan electricidad, analizan y detectan estímulos y protegen al usuario de los peligros ambientales.
Segmento de producto Insights
De todas las tecnologías emergentes, la nanotecnología y el IoT se encuentran entre los principales contribuyentes a la adopción global de ropa inteligente. Según el producto, el mercado de ropa inteligente se segmenta en prendas de vestir, calzado, parches portátiles y otros. La naturaleza humana en constante cambio es una de las principales razones de la continua actualización de las opciones y gustos de ropa. La tecnología ha comenzado a dirigir la industria textil y de la confección y se espera que haga que la fabricación de prendas de vestir sea más eficiente e independiente. Las marcas de tecnología portátil y las nuevas empresas de tecnología portátil están a la vanguardia de las innovaciones electrónicas y de TI en prendas inteligentes. Además, la experiencia en TI y los vibrantes ecosistemas de startups les permiten tomar la delantera en prendas inteligentes integradas electrónicamente y habilitadas para TI.
Connectivity Insights: mercado de ropa inteligente
El desarrollo de sensores, pantallas y dispositivos inteligentes que se pueden integrar perfectamente en el cuerpo humano ha sido una tendencia importante en la industria electrónica en la última década, como la integración de sensores en ropa inteligente. La mayoría de las prendas de vestir inteligentes están conectadas a los teléfonos inteligentes de los usuarios a través de tecnologías de conectividad como Bluetooth o Wi-Fi. El mercado de ropa inteligente, basado en la conectividad, se segmenta en Wi-Fi, Bluetooth, GPS y RFID.
Información estratégica
El Los actores del mercado se centran en innovaciones y desarrollos de nuevos productos integrando tecnologías y características avanzadas en sus productos para competir con la competencia.
- En 2020 , Levi's y Google presentaron la nueva chaqueta inteligente Commuter Jacket 2.0, y Google logró reducir la etiqueta que funciona con baterías y que le da a la chaqueta sus poderes inteligentes a más de la mitad del tamaño de la etiqueta original.
El mercado global de ropa inteligente se ha segmentado de la siguiente manera:
Mercado de ropa inteligente:
Mercado de ropa inteligente: por tipo
- Pasivo
- Activo
- Ultrainteligente
< /p>
Mercado de ropa inteligente - ndash; por Producto
- Ropa
- Calzado
- Parches ponibles
- Otros
Mercado de ropa inteligente - ndash; por Conectividad
- Wi-Fi
- Bluetooth
- GPS
- RFID
Mercado de ropa inteligente - ndash; por usuario final
- Atención sanitaria
- Deporte y fitness
- Moda y estilo de vida
- Militar
Por geografía
- América del Norte
- Estados Unidos
- Illinois
- Ohio
- Michigan
- Indiana
- México
- Europa
- Francia
- Alemania
- Italia
- Rusia
- Reino Unido
- Resto de Europa
- Asia Pacífico (APAC)
- Corea del Sur
- Australia
- China
- Taiwán
- Japón
- Resto de Asia-Pacífico
- Oriente Medio y Asia. África (MEA)
- Sudáfrica
- Arabia Saudita
- EAU
- Resto de MEA
- América del Sur (SAM)
- Brasil
- Resto de MEA
- AiQ Smart Clothing Inc.
- Carre Technologies Inc. (Hexoskin)
- CUTECIRCUIT
- Google LLC
- Jabil Inc.
- Myontec Ltd
- Sensoria Inc.
- Cuidado de sirena, Inc.
- Under Armour, Inc.
- WEARABLE X
Perfiles de la empresa
Report Coverage
Revenue forecast, Company Analysis, Industry landscape, Growth factors, and Trends
Segment Covered
This text is related
to segments covered.
Regional Scope
North America, Europe, Asia Pacific, Middle East & Africa, South & Central America
Country Scope
This text is related
to country scope.
Frequently Asked Questions
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.
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).
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
- AiQ Smart Clothing Inc.
- Carre Technologies Inc(Hexoskin)
- CUTECIRCUIT
- Myontec Ltd
- Sensoria Inc.
- Under Armour, Inc.
- WEARABLE X
- Jabil Inc.
- Siren Care, Inc.
- Google LLC
The Insight Partners performs research in 4 major stages: Data Collection & Secondary Research, Primary Research, Data Analysis and Data Triangulation & Final Review.
- Data Collection and Secondary Research:
As a market research and consulting firm operating from a decade, we have published and advised several client 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 organization 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 last 3 years are scrutinized and analyzed to understand the current market trends.
- 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/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:
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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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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