智能服装市场基于(主要区域、市场参与者、规模和贡献)- 预测至 2031 年

  • Report Code : TIPTE100000341
  • Category : Electronics and Semiconductor
  • No. of Pages : 150
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Smart Clothing Market | Size, Share, and Forecast [2021-2031]

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智能服装市场规模预计将从 2023 年的 26.1 亿美元增至 2031 年的 152.1 亿美元。预计 2023-2031 年市场复合年增长率将达到 24.7%。对健康和保健监测设备的需求不断增长,可能仍是智能服装市场的一个关键趋势。

智能服装市场分析

由于运动和健身行业越来越多地采用智能服装,以及越来越多地采用传感器来监测身体活动,智能服装市场正在快速增长。可穿戴设备的普及推动了市场稳步扩张。此外,物联网 (IoT) 的普及为市场增长提供了丰厚的机会。

智能服装市场概况

智能服装将电子设备融入服装中,以提高实用性和连接性。这些服装可以收集生物特征数据、测量活动水平、调节温度,甚至提供触觉反馈。智能服装市场提供革命性的服装,这些服装嵌入了传感器和技术,彻底改变了日常穿着。这些服装改善了健康和生活方式管理,包括健身追踪和生物特征监测。它们提供实时数据,让用户能够就自己的健康做出明智的决定。在时尚中使用智能纺织品不仅提高了便利性,而且还鼓励人们积极主动地对待健康,从而增加了消费者的需求。从而推动了市场的发展。

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智能服装市场:

Smart Clothing Market: Strategic Insights

Smart Clothing Market

  • CAGR (2023 - 2031)
    24.7%
  • Market Size 2023
    US$ 2.61 Billion
  • Market Size 2031
    US$ 15.21 Billion

Key Players

  • AiQ Smart Clothing Inc.
  • Carve Technologies Inc. (Hexoskin)
  • CUTECIRCUIT
  • Applycon, s. r. o.
  • Jabil Inc.
  • Myontec Ltd
  • Sensoria Inc.
  • Siren Care, Inc.
  • Under Armour, Inc.
  • WEARABLE X

Regional Overview

  • 北美(美国、加拿大、墨西哥)
  • 欧洲(英国、德国、法国、俄罗斯、意大利、欧洲其他地区)
  • 亚太地区(中国、印度、日本、澳大利亚、亚太地区其他地区)
  • 南美洲和中美洲(巴西、阿根廷、南美洲和中美洲其他地区)
  • 中东和非洲(南非、沙特阿拉伯、阿联酋、中东和非洲其他地区)

Market Segmentation

类型(主动、被动、超智能)
    定位类型(服装、鞋类、可穿戴贴片、其他)
      连接性(Wi-Fi、蓝牙、GPS、RFID)
        最终用户(医疗保健、时尚、生活方式、体育、健身、军事、其他)

          智能服装市场

          • 年均复合增长率(2023 - 2031)
            24.7%
          • 2023 年市场规模
            26.1 亿美元
          • 2031年市场规模
            152.1亿美元

          市场动态

          增长动力
          • 智能服装在体育和健身行业的应用日益广泛
          未来的趋势
          • 对健康和保健监测设备的需求日益增长
          机会
          • 物联网 (IoT) 的采用不断增加

          关键人物;主力;重要一员

          • AiQ智能服饰有限公司
          • Carve Technologies Inc.(Hexoskin)
          • 可爱电路
          • 应用康有限公司
          • 捷普公司
          • 迈昂泰克有限公司
          • 传感器公司
          • Siren Care 公司
          • 安德玛公司
          • 可穿戴设备 X

          区域概况

          • 北美
          • 欧洲
          • 亚太
          • 南美洲和中美洲
          • 中东和非洲

          市场细分

          类型
          • 积极的
          • 被动的
          • 超智能
          定向类型
          • 服饰
          • 鞋类
          • 可穿戴补丁
          • 其他的
          连接
          • 无线上网
          • 蓝牙
          • 全球定位系统
          • 射频识别
          最终用户
          • 卫生保健
          • 时尚
          • 生活方式
          • 运动
          • 健康
          • 军队
          • 其他的
          • 示例 PDF 通过定性和定量分析展示了内容结构和信息的性质。

          智能服装市场驱动因素和机遇

          体育和健身行业对智能服装的日益普及正在推动市场的发展

          智能服装在运动健身行业有着巨大的潜力。运动员和健身爱好者高度采用智能服装,因为它具有实时监测血氧饱和度、肌肉活动、心率和运动模式等生理数据的优点。这些数据对于完善训练计划、降低受伤风险和提高整体表现非常有用。此外,智能装备还提供有关姿势、技术和形式的反馈,使运动员能够做出调整并改进他们的锻炼习惯。将智能服装与可穿戴设备和移动应用程序集成,可以帮助用户创建一个整体的健身生态系统,为希望增强健康目标的用户提供个性化信息和建议。

          物联网 (IoT) 的普及——智能服装市场的机会

          物联网的发展使得智能服装与智能手机和智能手表能够无缝集成。这种连接改善了用户体验并实现了新功能,预计将在市场上创造机会。物联网的普及使智能服装成为互联生态系统中越来越重要的一部分,为用户的日常生活提供了无与伦比的便利和多样性。此外,对智能服装不断增长的需求鼓励制造商开发技术先进的解决方案来满足消费者的需求。例如,2023 年 4 月,滑铁卢大学的研究人员创造了一种突破性的“智能织物”,由嵌入不锈钢丝的聚合物纳米复合纤维制成。这种织物对热和电有特殊的反应,嵌入的电线在加热时会收缩并改变形状。

          智能服装市场报告细分分析

          有助于得出智能服装市场分析的关键部分是类型、方向类型、连接性和最终用户。

          • 根据类型,智能服装市场分为主动型、被动型和超智能型。 2023 年,主动细分市场占据了更大的市场份额。
          • 就定位类型而言,市场细分为服装、鞋类、可穿戴贴片等。服装领域在 2023 年占据了更大的市场份额。
          • 根据连接性,智能服装市场分为Wi-Fi、蓝牙、GPS和RFID。 2023 年,GPS 细分市场将占据更大的市场份额。
          • 就最终用户而言,市场分为医疗保健、时尚和生活方式、运动和健身、军事等。 2023年,运动和健身领域占据了更大的市场份额。

          智能服装市场份额按地域分析

          智能服装市场报告的地理范围主要分为五个地区:北美、亚太地区、欧洲、中东和非洲、南美/中南美洲。

          就收入而言,由于政府大力推广智能服装技术,北美占据了最大的智能服装市场份额。例如,2023年9月,美国政府投资2200万美元推动智能电子裤倡议,以推进智能监控服装技术。政府正计划为军事人员和情报机构制造可跟踪地理位置、记录音频/视频以及监测生理数据的可穿戴服装。这增加了危险环境中的态势感知和数据收集。

          智能服装市场报告范围

          报告属性细节
          2023 年的市场规模26.1亿美元
          2031 年市场规模152.1亿美元
          全球复合年增长率(2023 - 2031)24.7%
          历史数据2021-2022
          预测期2024-2031
          涵盖的领域按类型
          • 积极的
          • 被动的
          • 超智能
          按方向类型
          • 服饰
          • 鞋类
          • 可穿戴补丁
          • 其他的
          通过连接性
          • 无线上网
          • 蓝牙
          • 全球定位系统
          • 射频识别
          按最终用户
          • 卫生保健
          • 时尚
          • 生活方式
          • 运动
          • 健康
          • 军队
          • 其他的
          覆盖地区和国家北美
          • 我们
          • 加拿大
          • 墨西哥
          欧洲
          • 英国
          • 德国
          • 法国
          • 俄罗斯
          • 意大利
          • 欧洲其他地区
          亚太
          • 中国
          • 印度
          • 日本
          • 澳大利亚
          • 亚太其他地区
          南美洲和中美洲
          • 巴西
          • 阿根廷
          • 南美洲和中美洲其他地区
          中东和非洲
          • 南非
          • 沙特阿拉伯
          • 阿联酋
          • 中东和非洲其他地区
          市场领导者和主要公司简介
          • AiQ智能服饰有限公司
          • Carve Technologies Inc.(Hexoskin)
          • 可爱电路
          • 应用康有限公司
          • 捷普公司
          • 迈昂泰克有限公司
          • 传感器公司
          • Siren Care 公司
          • 安德玛公司
          • 可穿戴设备 X
          • 示例 PDF 通过定性和定量分析展示了内容结构和信息的性质。

          智能服装市场新闻和最新发展

          智能服装市场是通过收集初级和二级研究后的定性和定量数据来评估的,其中包括重要的企业出版物、协会数据和数据库。以下是智能服装市场的发展及策略:

          • 2023 年 4 月,H & M Hennes & Mauritz GBC AB 与 LanzaTech 合作,为他们的客户提供采用 CarbonSmart 聚酯纤维制成的胶囊系列,这是一种利用再利用碳排放的突破性材料。此次合作使 H&M Move 能够探索创新材料,并在未来帮助打造更智能、更可持续的运动服方面发挥自己的作用。(来源:H & M Hennes & Mauritz GBC AB,新闻稿,2023 年)

          智能服装市场报告范围和交付成果

          “智能服装市场规模和预测(2021-2031)”报告对以下领域进行了详细的市场分析:

          • 范围内所有主要细分市场的全球、区域和国家层面的市场规模和预测
          • 市场动态,例如驱动因素、限制因素和关键机遇
          • 未来主要趋势
          • 详细的 PEST/波特五力分析和 SWOT 分析
          • 全球和区域市场分析,涵盖主要市场趋势、主要参与者、法规和最新市场发展
          • 行业格局和竞争分析,涵盖市场集中度、热点图分析、知名参与者和最新发展
          • 详细的公司简介

          Smart Clothing Market Report Scope

          Report Attribute Details
          Market size in US$ 2.61 Billion
          Market Size by US$ 15.21 Billion
          Global CAGR 24.7%
          Historical Data 2021-2022
          Forecast period 2024-2031
          Segments Covered By 类型(主动、被动、超智能)
          By 定位类型(服装、鞋类、可穿戴贴片、其他)
          By 连接性(Wi-Fi、蓝牙、GPS、RFID)
          By 最终用户(医疗保健、时尚、生活方式、体育、健身、军事、其他)
          Regions and Countries Covered 北美(美国、加拿大、墨西哥)
          • 北美(美国、加拿大、墨西哥)
          欧洲(英国、德国、法国、俄罗斯、意大利、欧洲其他地区)
          • 欧洲(英国、德国、法国、俄罗斯、意大利、欧洲其他地区)
          亚太地区(中国、印度、日本、澳大利亚、亚太地区其他地区)
          • 亚太地区(中国、印度、日本、澳大利亚、亚太地区其他地区)
          南美洲和中美洲(巴西、阿根廷、南美洲和中美洲其他地区)
          • 南美洲和中美洲(巴西、阿根廷、南美洲和中美洲其他地区)
          中东和非洲(南非、沙特阿拉伯、阿联酋、中东和非洲其他地区)
          • 中东和非洲(南非、沙特阿拉伯、阿联酋、中东和非洲其他地区)
          Market leaders and key company profiles
        • AiQ Smart Clothing Inc.
        • Carve Technologies Inc. (Hexoskin)
        • CUTECIRCUIT
        • Applycon, s. r. o.
        • 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

          This text is related
          to segments covered.

          Regional Scope
          Regional Scope

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

          Country Scope
          Country Scope

          This text is related
          to country scope.

          Frequently Asked Questions


          What is the incremental growth of the global smart clothing market during the forecast period?

          The incremental growth expected to be recorded for the global smart clothing market during the forecast period is US$ 12.60 billion.

          What will be the market size of the global smart clothing market by 2031?

          The global smart clothing market is expected to reach US$ 15.21 billion by 2031.

          Which are the key players holding the major market share of the global smart clothing market?

          The key players holding majority shares in the global smart clothing market are AiQ Smart Clothing Inc., Carve Technologies Inc. (Hexoskin), CUTECIRCUIT, Applycon, s. r. o., and Jabil Inc.

          What are the future trends of the global smart clothing market?

          The growing need for health and wellness monitoring devices to play a significant role in the global smart clothing market in the coming years.

          What are the driving factors impacting the global smart clothing market?

          The growing adoption of smart clothing in the sports and fitness industry and the increasing adoption of sensors for monitoring bodily activities are the major factors that propel the global smart clothing market.

          What is the estimated market size for the global smart clothing market in 2023?

          The global smart clothing market was estimated to be US$ 2.61 billion in 2023 and is expected to grow at a CAGR of 24.7% during the forecast period 2023 - 2031.

          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 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.

          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/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.

          • 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.

          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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