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市场调查报告书
商品编码
1822576

快时尚市场机会、成长动力、产业趋势分析及2025-2034年预测

Fast Fashion Market Opportunity, Growth Drivers, Industry Trend Analysis, and Forecast 2025 - 2034
出版日期: | 出版商: Global Market Insights Inc. | 英文 204 Pages | 商品交期: 2-3个工作天内

价格
简介目录

2024 年全球快时尚市场价值为 1,484 亿美元，预计到 2034 年将以 10.2% 的复合年增长率成长至 3,877 亿美元。

快时尚市场 - IMG1

社群媒体、明星影响力和数位内容推动着时尚偏好的不断演变，这刺激了人们对更快推出新款式的需求。快时尚品牌抓住了这一机会，在数週内推出基于潮流的设计，满足了消费者不断更新衣橱的需求。

市场范围
起始年份 2024
预测年份 2025-2034
起始值 1484亿美元
预测值 3877亿美元
复合年增长率 10.2%

服装的普及率不断上升

2024年，服装细分市场占据了可持续的份额，这得益于消费者对新鲜、实惠且引领潮流的服装的持续需求。从休閒装和街头风格到季节性系列和胶囊衣橱，快时尚品牌能够快速、大规模地复製T台风格。该细分市场凭藉着快速的生产週期和高销售率蓬勃发展，各大公司每年都会推出多个系列，以保持领先于不断变化的时尚趋势。

女性需求不断成长

2024年，女性消费者对引领潮流、价格实惠的时尚产品的需求持续成长，女装市场占据了相当大的份额。快时尚品牌透过提供涵盖上衣、洋装、外套和配件等各种风格的产品，大力迎合这群人的需求。社群媒体网红、明星联名款以及快速变化的风格偏好，是女性频繁购买的强大动力。

网上销售将获得成长动力

受网路普及率、行动商务和社交购物行为的推动，2024年线上市场占据了相当大的份额。消费者重视浏览新品、参与限时抢购、直接透过行动装置购物的便利性。快时尚零售商纷纷拥抱电商，推出了用户友好的应用程序，利用资料分析提供个人化推荐，并整合社交媒体平台，打造无缝结帐体验。

区域洞察

欧洲将崛起为利润丰厚的地区

2024年，欧洲快时尚市场保持强劲成长，这得益于其深厚的时尚文化和对高街潮流的早期接受。然而，围绕永续性和道德生产的监管压力日益加大，正在重塑欧洲快时尚的运作方式。消费者越来越重视品牌价值、材料来源和碳足迹。

快时尚产业的主要参与者有 Gap、Shein、Arcadia、Urban Outfitters、Primark、Asos、Bershka、Uniqlo、Roadster、H&M、Fashion Nova、Zara、Mango、Boohoo 和 Marks & Spencer。

为了巩固在快时尚市场的立足点，领先的公司正在采用敏捷且数据驱动的策略，优先考虑速度、价格实惠和回应能力。许多品牌正在利用人工智慧和趋势预测工具，在新兴款式成为主流之前识别它们，从而缩短从设计到上架的周期。与网红和名人建立策略伙伴关係有助于引发社交热议，并推动对限量版系列的需求。

目录

第一章：方法论与范围

第二章：执行摘要

第三章：行业洞察

  • 产业生态系统分析
    • 供应商格局
    • 利润率
    • 每个阶段的增值
    • 影响价值链的因素
    • 中断
  • 产业衝击力
    • 成长动力
      • 快速变化的时尚潮流和消费者偏好
      • 电子商务平台的采用率不断提高
    • 产业陷阱与挑战
      • 对环境永续性的日益担忧
      • 快时尚品牌竞争激烈
      • 原物料价格波动
    • 机会
      • 永续实践与环保材料的融合
      • 向新兴市场扩张
      • 利用先进技术
  • 成长潜力分析
  • 未来市场趋势
  • 技术和创新格局
    • 当前的技术趋势
    • 新兴技术
  • 价格趋势
    • 按地区
    • 依产品类型
  • 监理框架
    • 标准和认证
    • 环境法规
    • 进出口法规
  • 波特五力分析
  • PESTEL分析
  • 消费者行为分析
    • 购买模式
    • 偏好分析
    • 消费者行为的区域差异
    • 电子商务对购买决策的影响

第四章：竞争格局

  • 介绍
  • 公司市占率分析
    • 按地区
      • 北美洲
      • 欧洲
      • 亚太地区
      • 多边环境协定
  • 公司矩阵分析
  • 主要市场参与者的竞争分析
  • 竞争定位矩阵
  • 关键进展
    • 併购
    • 伙伴关係与合作
    • 新产品发布
    • 扩张计划

第五章：市场估计与预测：依产品类型，2021 - 2034 年

  • 主要趋势
  • 服饰
    • 上衣
      • 衬衫和T恤
      • 外套和夹克
      • 运动衫
      • 其他（套头衫、开襟衫等）
    • 下装
      • 长裤和牛仔裤
      • 裙子和短裤
      • 其他（慢跑裤和紧身裤等）
    • 其他（内衣等）
  • 鞋类
    • 靴子
    • 公寓
    • 乐福鞋
    • 睡眠者
    • 运动鞋
    • 其他（高跟凉鞋等）
  • 配件
    • 珠宝
    • 包包
    • 帽子
    • 围巾和披肩
    • 其他（皮带等）

第六章：市场估计与预测：依顾客群，2021 - 2034 年

  • 主要趋势
  • 男士
  • 女性
  • 孩子们

第七章：市场估计与预测：按价格，2021 - 2034 年

  • 主要趋势
  • 低的
  • 中等的
  • 高的

第 8 章：市场估计与预测：按配销通路，2021 年至 2034 年

  • 主要趋势
  • 在线的
    • 电子商务
    • 公司网站
  • 离线
    • 超市
    • 专卖店
    • 其他（大型零售商等）

第九章：市场估计与预测：按地区，2021 - 2034

  • 主要趋势
  • 北美洲
    • 我们
    • 加拿大
  • 欧洲
    • 德国
    • 英国
    • 法国
    • 西班牙
    • 义大利
    • 荷兰
  • 亚太地区
    • 中国
    • 日本
    • 印度
    • 澳洲
    • 韩国
  • 拉丁美洲
    • 巴西
    • 墨西哥
    • 阿根廷
  • 多边环境协定
    • 南非
    • 沙乌地阿拉伯
    • 阿联酋

第十章：公司简介

  • Arcadia
  • Asos
  • Bershka
  • Boohoo
  • Fashion Nova
  • Gap
  • H&M
  • Mango
  • Marks and Spencer
  • Primark
  • Roadster
  • Shein
  • Uniqlo
  • Urban Outfitters
  • Zara
简介目录
Product Code: 14664

The Global Fast Fashion Market was valued at USD 148.4 billion in 2024 and is estimated to grow at a CAGR of 10.2% to reach USD 387.7 billion by 2034.

Fast Fashion Market - IMG1

The constant evolution of fashion preferences driven by social media, celebrity influence, and digital content fuels demand for new styles at faster turnaround times. Fast fashion brands capitalize on this by offering trend-based designs within weeks, keeping pace with consumers' desire for constant wardrobe updates.

Market Scope
Start Year2024
Forecast Year2025-2034
Start Value$148.4 billion
Forecast Value$387.7 billion
CAGR10.2%

Rising Adoption of Apparel

The apparel segment held a sustainable share in 2024, driven by the constant consumer demand for fresh, affordable, and trend-forward clothing. From casual wear and street style to seasonal collections and capsule wardrobes, fast fashion brands are quick to replicate runway styles at scale and speed. This segment thrives on rapid production cycles and high sell-through rates, with companies releasing multiple collections per year to stay ahead of shifting fashion trends.

Increasing Demand Among Women

The women segment held a significant share in 2024, as female consumers continue to drive the demand for trend-led, affordable fashion options. Fast fashion brands cater heavily to this audience by offering a wide range of styles across tops, dresses, outerwear, and accessories. Social media influencers, celebrity collaborations, and fast-changing style preferences are powerful motivators for frequent purchases among women.

Online Sales to Gain Traction

The online segment generated a substantial share in 2024, fueled by increased internet penetration, mobile commerce, and social shopping behavior. Consumers value the convenience of browsing new arrivals, accessing flash sales, and purchasing directly from mobile devices. Fast fashion retailers have embraced e-commerce by launching user-friendly apps, leveraging data analytics to personalize recommendations, and integrating social media platforms for seamless checkout experiences.

Regional Insights

Europe to Emerge as a Lucrative Region

Europe fast fashion market held robust growth in 2024, driven by its deep fashion culture and early adoption of high-street trends. However, growing regulatory pressures around sustainability and ethical production are reshaping how fast fashion operates in Europe. Consumers are increasingly scrutinizing brand values, material sources, and carbon footprints.

Major players in the fast fashion industry are Gap, Shein, Arcadia, Urban Outfitters, Primark, Asos, Bershka, Uniqlo, Roadster, H&M, Fashion Nova, Zara, Mango, Boohoo, and Marks & Spencer.

To strengthen their foothold in the fast fashion market, leading companies are adopting agile and data-driven strategies that prioritize speed, affordability, and responsiveness. Many brands are leveraging AI and trend forecasting tools to identify emerging styles before they go mainstream, allowing for faster design-to-shelf cycles. Strategic partnerships with influencers and celebrities help generate social buzz and drive demand for limited-edition collections.

Table of Contents

Chapter 1 Methodology and scope

  • 1.1 Market scope and definition
  • 1.2 Research design
    • 1.2.1 Research approach
    • 1.2.2 Data collection methods
  • 1.3 Data mining sources
    • 1.3.1 Global
    • 1.3.2 Regional/country
  • 1.4 Base estimates and calculations
    • 1.4.1 Base year calculation
    • 1.4.2 Key trends for market estimation
  • 1.5 Primary research and validation
    • 1.5.1 Primary sources
  • 1.6 Forecast model
  • 1.7 Research assumptions and limitations

Chapter 2 Executive summary

  • 2.1 Industry 3600 synopsis
  • 2.2 Key market trends
    • 2.2.1 By regional
    • 2.2.2 By product type
    • 2.2.3 By customer group
    • 2.2.4 By price
    • 2.2.5 By distribution channel
  • 2.3 CXO perspectives: strategic imperatives
    • 2.3.1 Key decision points for industry executives
    • 2.3.2 Critical success factors for market players
  • 2.4 Future outlook and strategic recommendations

Chapter 3 Industry insights

  • 3.1 Industry ecosystem analysis
    • 3.1.1 Supplier landscape
    • 3.1.2 Profit margin
    • 3.1.3 Value addition at each stage
    • 3.1.4 Factor affecting the value chain
    • 3.1.5 Disruptions
  • 3.2 Industry impact forces
    • 3.2.1 Growth drivers
      • 3.2.1.1 Rapidly changing fashion trends and consumer preferences
      • 3.2.1.2 Increased adoption of e-commerce platforms
    • 3.2.2 Industry pitfalls & challenges
      • 3.2.2.1 Growing concerns over environmental sustainability
      • 3.2.2.2 Intense competition among fast fashion brands
      • 3.2.2.3 Fluctuations in raw material prices
    • 3.2.3 Opportunities
      • 3.2.3.1 Integration of sustainable practices and eco-friendly materials
      • 3.2.3.2 Expansion into emerging markets
      • 3.2.3.3 Leveraging advanced technologies
  • 3.3 Growth potential analysis
  • 3.4 Future market trends
  • 3.5 Technology and innovation landscape
    • 3.5.1 Current technological trends
    • 3.5.2 Emerging technologies
  • 3.6 Price trends
    • 3.6.1 By region
    • 3.6.2 By product type
  • 3.7 Regulatory framework
    • 3.7.1 Standards and certifications
    • 3.7.2 Environmental regulations
    • 3.7.3 Import export regulations
  • 3.8 Porter's five forces analysis
  • 3.9 PESTEL analysis
  • 3.10 Consumer behavior analysis
    • 3.10.1 Purchasing patterns
    • 3.10.2 Preference analysis
    • 3.10.3 Regional variations in consumer behavior
    • 3.10.4 Impact of e-commerce on buying decisions

Chapter 4 Competitive landscape, 2024

  • 4.1 Introduction
  • 4.2 Company market share analysis
    • 4.2.1 By region
      • 4.2.1.1 North America
      • 4.2.1.2 Europe
      • 4.2.1.3 Asia Pacific
      • 4.2.1.5 MEA
  • 4.3 Company matrix analysis
  • 4.4 Competitive analysis of major market players
  • 4.5 Competitive positioning matrix
  • 4.6 Key developments
    • 4.6.1 Mergers & acquisitions
    • 4.6.2 Partnerships & collaborations
    • 4.6.3 New product launches
    • 4.6.4 Expansion plans

Chapter 5 Market Estimates & Forecast, By Product Type, 2021 - 2034 ($Billion, Million Units)

  • 5.1 Key trends
  • 5.2 Apparel
    • 5.2.1 Top wear
      • 5.2.1.1 Shirts & T-shirts
      • 5.2.1.2 Coats & jackets
      • 5.2.1.3 Sweatshirts
      • 5.2.1.4 Others (pullover & cardigans etc.)
    • 5.2.2 Bottom wear
      • 5.2.2.1 Trousers & jeans
      • 5.2.2.2 Skirts & shorts
      • 5.2.2.3 Other (joggers & leggings etc.)
    • 5.2.3 Others (innerwear etc.)
  • 5.3 Footwear
    • 5.3.1 Boots
    • 5.3.2 Flats
    • 5.3.3 Loafers
    • 5.3.4 Sleepers
    • 5.3.5 Sneakers
    • 5.3.6 Others (high heel sandals etc.)
  • 5.4 Accessories
    • 5.4.1 Jewelry
    • 5.4.2 Bags
    • 5.4.3 Hats
    • 5.4.4 Scarves and shawls
    • 5.4.5 Others (belts etc.)

Chapter 6 Market Estimates & Forecast, By Customer Group, 2021 - 2034 ($Billion, Million Units)

  • 6.1 Key trends
  • 6.2 Men
  • 6.3 Women
  • 6.4 Children

Chapter 7 Market Estimates & Forecast, By Price, 2021 - 2034 ($Billion, Million Units)

  • 7.1 Key trends
  • 7.2 Low
  • 7.3 Medium
  • 7.4 High

Chapter 8 Market Estimates & Forecast, By Distribution Channel, 2021 - 2034 ($Billion, Million Units)

  • 8.1 Key trends
  • 8.2 Online
    • 8.2.1 E-commerce
    • 8.2.2 Company websites
  • 8.3 Offline
    • 8.3.1 Supermarkets
    • 8.3.2 Specialty stores
    • 8.3.3 Others (big box retailers, etc.)

Chapter 9 Market Estimates & Forecast, By Region, 2021 - 2034 ($Billion, Million Units)

  • 9.1 Key trends
  • 9.2 North America
    • 9.2.1 U.S.
    • 9.2.2 Canada
  • 9.3 Europe
    • 9.3.1 Germany
    • 9.3.2 UK
    • 9.3.3 France
    • 9.3.4 Spain
    • 9.3.5 Italy
    • 9.3.6 Netherlands
  • 9.4 Asia Pacific
    • 9.4.1 China
    • 9.4.2 Japan
    • 9.4.3 India
    • 9.4.4 Australia
    • 9.4.5 South Korea
  • 9.5 Latin America
    • 9.5.1 Brazil
    • 9.5.2 Mexico
    • 9.5.3 Argentina
  • 9.6 MEA
    • 9.6.1 South Africa
    • 9.6.2 Saudi Arabia
    • 9.6.3 UAE

Chapter 10 Company Profiles

  • 10.1 Arcadia
  • 10.2 Asos
  • 10.3 Bershka
  • 10.4 Boohoo
  • 10.5 Fashion Nova
  • 10.6 Gap
  • 10.7 H&M
  • 10.8 Mango
  • 10.9 Marks and Spencer
  • 10.10 Primark
  • 10.11 Roadster
  • 10.12 Shein
  • 10.13 Uniqlo
  • 10.14 Urban Outfitters
  • 10.15 Zara