封面
市場調查報告書
商品編碼
1822576

快時尚市場機會、成長動力、產業趨勢分析及2025-2034年預測

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個工作天內

價格
簡介目錄

2024 年全球快時尚市場價值為 1,484 億美元,預計到 2034 年將以 10.2% 的複合年成長率成長至 3,877 億美元。

快時尚市場 - IMG1

社群媒體、明星影響力和數位內容推動著時尚偏好的不斷演變,這刺激了人們對更快推出新款式的需求。快時尚品牌抓住了這一機遇,在數週內推出基於潮流的設計,滿足了消費者不斷更新衣櫥的需求。

市場範圍
起始年份 2024
預測年份 2025-2034
起始值 1484億美元
預測值 3877億美元
複合年成長率 10.2%

服裝的普及率不斷上升

2024年,服裝細分市場佔據了永續的佔有率,這得益於消費者對新鮮、實惠且引領潮流的服裝的持續需求。從休閒裝和街頭風格到季節性系列和膠囊衣櫥,快時尚品牌能夠快速、大規模地複製T台風格。該細分市場憑藉著快速的生產週期和高銷售率蓬勃發展,各大公司每年都會推出多個系列,以保持領先於不斷變化的時尚趨勢。

女性需求不斷成長

2024年,女性消費者對引領潮流、價格實惠的時尚產品的需求持續成長,女裝市場佔據了相當大的佔有率。快時尚品牌透過提供涵蓋上衣、洋裝、外套和配件等各種風格的產品,大力迎合這群人的需求。社群媒體網紅、明星聯名款以及快速變化的風格偏好,是女性頻繁購買的強大動力。

網上銷售將獲得成長動力

受網路普及率、行動商務和社交購物行為的推動,2024年線上市場佔據了相當大的佔有率。消費者重視瀏覽新品、參與限時搶購、直接透過行動裝置購物的便利性。快時尚零售商紛紛擁抱電商,推出了方便用戶使用的應用程式,利用資料分析提供個人化推薦,並整合社交媒體平台,打造無縫結帳體驗。

區域洞察

歐洲將崛起為利潤豐厚的地區

2024年,歐洲快時尚市場保持強勁成長,這得益於其深厚的時尚文化和對高街潮流的早期接受。然而,圍繞永續性和道德生產的監管壓力日益加大,正在重塑歐洲快時尚的運作方式。消費者越來越重視品牌價值、材料來源和碳足跡。

快時尚產業的主要參與者有 Gap、Shein、Arcadia、Urban Outfitters、Primark、Asos、Bershka、Uniqlo、Roadster、H&M、Fashion Nova、Zara、Mango、Boohoo 和 Marks & Spencer。

為了鞏固在快時尚市場的立足點,領先的公司正在採用敏捷且數據驅動的策略,優先考慮速度、價格實惠和回應能力。許多品牌正在利用人工智慧和趨勢預測工具,在新興款式成為主流之前識別它們,從而縮短從設計到上架的周期。與網紅和名人建立策略夥伴關係有助於引發社交熱議,並推動對限量版系列的需求。

目錄

第1章:方法論與範圍

第2章:執行摘要

第3章:行業洞察

  • 產業生態系統分析
    • 供應商格局
    • 利潤率
    • 每個階段的增值
    • 影響價值鏈的因素
    • 中斷
  • 產業衝擊力
    • 成長動力
      • 快速變化的時尚潮流和消費者偏好
      • 電子商務平台的採用率不斷提高
    • 產業陷阱與挑戰
      • 對環境永續性的日益擔憂
      • 快時尚品牌競爭激烈
      • 原物料價格波動
    • 機會
      • 永續實踐與環保材料的融合
      • 向新興市場擴張
      • 利用先進技術
  • 成長潛力分析
  • 未來市場趨勢
  • 技術和創新格局
    • 當前的技術趨勢
    • 新興技術
  • 價格趨勢
    • 按地區
    • 依產品類型
  • 監理框架
    • 標準和認證
    • 環境法規
    • 進出口法規
  • 波特五力分析
  • PESTEL分析
  • 消費者行為分析
    • 購買模式
    • 偏好分析
    • 消費者行為的區域差異
    • 電子商務對購買決策的影響

第4章:競爭格局

  • 介紹
  • 公司市佔率分析
    • 按地區
      • 北美洲
      • 歐洲
      • 亞太地區
      • 多邊環境協定
  • 公司矩陣分析
  • 主要市場參與者的競爭分析
  • 競爭定位矩陣
  • 關鍵進展
    • 併購
    • 夥伴關係與合作
    • 新產品發布
    • 擴張計劃

第5章:市場估計與預測:依產品類型,2021 - 2034 年

  • 主要趨勢
  • 服飾
    • 上衣
      • 襯衫和T卹
      • 外套和夾克
      • 運動衫
      • 其他(套頭衫、開襟衫等)
    • 下裝
      • 長褲和牛仔褲
      • 裙子和短褲
      • 其他(慢跑褲和緊身褲等)
    • 其他(內衣等)
  • 鞋類
    • 靴子
    • 公寓
    • 樂福鞋
    • 睡眠者
    • 運動鞋
    • 其他(高跟涼鞋等)
  • 配件
    • 珠寶
    • 包包
    • 帽子
    • 圍巾和披肩
    • 其他(皮帶等)

第6章:市場估計與預測:依顧客群,2021 - 2034 年

  • 主要趨勢
  • 男士
  • 女性
  • 孩子們

第7章:市場估計與預測:按價格,2021 - 2034 年

  • 主要趨勢
  • 低的
  • 中等的
  • 高的

第 8 章:市場估計與預測:按配銷通路,2021 年至 2034 年

  • 主要趨勢
  • 線上
    • 電子商務
    • 公司網站
  • 離線
    • 超市
    • 專賣店
    • 其他(大型零售商等)

第9章:市場估計與預測:按地區,2021 - 2034

  • 主要趨勢
  • 北美洲
    • 美國
    • 加拿大
  • 歐洲
    • 德國
    • 英國
    • 法國
    • 西班牙
    • 義大利
    • 荷蘭
  • 亞太地區
    • 中國
    • 日本
    • 印度
    • 澳洲
    • 韓國
  • 拉丁美洲
    • 巴西
    • 墨西哥
    • 阿根廷
  • 多邊環境協定
    • 南非
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國

第10章:公司簡介

  • Arcadia
  • Asos
  • Bershka
  • Boohoo
  • Fashion Nova
  • Gap
  • H&M
  • Mango
  • Marks and Spencer
  • Primark
  • Roadster
  • Shein
  • Uniqlo
  • Urban Outfitters
  • Zara
簡介目錄
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