查看購物車
  • Simplified Chinese
  • English
  • Japanese
封面
市場調查報告書
商品編碼
1574134

時尚界人工智慧 (AI) 市場：2024-2029 年預測

Artificial Intelligence (AI) in Fashion Market - Forecasts from 2024 to 2029
出版日期: | 出版商: Knowledge Sourcing Intelligence | 英文 155 Pages | 商品交期: 最快1-2個工作天內

價格
簡介目錄

時尚人工智慧（AI）市場預計將從2024年的1,752,205,000美元成長到2029年的9,925,913,000美元，複合年成長率為41.46%。

人工智慧的引入是影響時尚業務多個領域成長的關鍵因素之一。人工智慧技術利用資料分析，透過個人化的購物體驗來提高顧客滿意度和忠誠度。 AR&AI虛擬試衣及試衣間解決方案改善顧客購物體驗，減少退貨時間並確保高確定性。該行業將繼續受益於專注於供應鏈最佳化、動態定價、詐欺檢測、趨勢研究和永續性的新產品創新。這些舉措可能透過提高安全交易和業務效率來幫助滿足快速變化的客戶期望。時尚市場是一個流動的環境，人工智慧的採用將對推動產業產生更廣泛的影響，但標準也會提高。

此外，根據 USCC 2023 年 4 月的資料，預計會有更多的人在線上購物，他們的購買決策會受到社群媒體的影響。到2022年，快時尚業務銷售額預計將達到1,064億美元。消息人士稱，透過利用集中、高速的供應鏈和消費者的應用程式搜尋歷史，Shein 在美國獲得了巨大的市場佔有率，並正在與 ZARA 和 H&M 等競爭對手競爭。其他中國時尚公司也對這種人工智慧經營模式感興趣。

時尚界人工智慧市場的促進因素：

  • 人工智慧在時尚產業的日益普及預計將有助於市場的成長。

尋求獨特風格偏好和體驗的挑剔顧客數量正在增加，人工智慧在時尚領域的引入令人期待。人工智慧主導的建議、影響者的靈感和可客製化的產品正在推動這一轉變。在當今世界，我們更重視個人，而不是考慮什麼對每個人都是最好的。因此，消費者的需求傾向於個人化，品牌也透過採用創新技術來因應。這代表著人們與所在行業聯繫方式的重大轉變，並透過資料洞察為進步提供了深刻的聲音。

人工智慧將極大地促進這些目標的實現，政府的官方報告將確保英國在開發、測試和使用人工智慧技術方面處於世界領先地位。英國政府於 2023 年 8 月 3 日更新的資料顯示，最近宣布向人工智慧技術使命基金撥款1.1 億英鎊，其中9 億英鎊用於創建新的人工智慧研究資源以大規模運行人工智慧模型，並已指示約800 萬英鎊用於建立可能的百萬兆級超級電腦。此外，它還得到了 1.17 億英鎊的資金和 800 萬英鎊的 AI 全球人才網路的支持，該網路將用於向 AI 研究人員授予數百名博士學位。

時尚人工智慧市場的地理版圖

  • 北美地區預計將佔據時尚領域人工智慧市場佔有率的很大一部分。

近年來，得益於IBM、微軟等人工智慧公司在國內的大量湧現，時尚領域的人工智慧市場蓬勃發展，尤其是在北美，時尚產業正經歷指數級成長。此外，社群媒體的滲透率不斷提高以及國內本地企業的採用率不斷提高，也有助於在設想的時限內產生市場外溢效應。此外，時尚是市場成長最快的行業之一，人們更廣泛地關注使該地區所有行業的公司擴大支援人工智慧。

時尚產業人工智慧市場新產品的採用。例如，2023 年 6 月，Google宣布了一項新的人工智慧購物功能，可實現虛擬試穿。這是一種新的生成式 AI 模型，它使用單一裙子圖像來模擬裙子如何在真實模型上以各種姿勢懸垂、折疊、緊貼和伸展，可以顯示它會如何起皺。截至 6 月，該功能僅向美國消費者開放，女性消費者可以試穿 Google 旗下的女性用上衣，包括 Anthropologie、Everlane、H&M 和 LOFT 等品牌。因此，品牌正在宣傳人工智慧在時尚產業的真正重要性，加上公司知名度的不斷提高，預計將在預測期內為市場成長帶來優勢。

此外，國內對AI產業的投資也不斷增加。例如，2023年5月，美國國家科學基金會與其他聯邦機構、高等教育機構和其他相關人員合作，宣布投資1.4億美元。透過這項投資，該國將建立七個新的國家人工智慧研究所（AI Institute）。

為什麼要購買這份報告？

  • 富有洞察力的分析：獲得涵蓋關鍵和新興區域的深入市場洞察，重點關注客戶細分、政府政策和社會經濟因素、消費者偏好、行業領域和其他子區隔。
  • 競爭格局：了解世界主要企業採取的策略策略，並了解透過正確的策略滲透市場的潛力。
  • 市場促進因素和未來趨勢：探索動態因素和關鍵市場趨勢以及它們將如何塑造未來市場開拓。
  • 可行的建議：利用洞察力做出策略決策，在動態環境中釋放新的業務流和收益。
  • 面向廣大受眾：對於新興企業、研究機構、顧問、中小型企業和大型企業有用且具有成本效益。

公司使用我們的報告的目的是什麼？

產業和市場考量、機會評估、產品需求預測、打入市場策略、地理擴張、資本投資決策、法律規範與影響、新產品開拓、競爭影響

調查範圍

  • 過去的資料/預測，2022-2029
  • 成長機會、挑戰、供應鏈前景、法規結構、顧客行為、趨勢分析
  • 競爭對手的市場狀況、策略與市場佔有率分析
  • 包括國家在內的細分市場和地區的收益成長和預測評估
  • 公司簡介（策略、產品、財務資訊、主要發展等）

目錄

第1章簡介

  • 市場概況
  • 市場定義
  • 調查範圍
  • 市場區隔
  • 貨幣
  • 先決條件
  • 基準年和預測年時間表
  • 相關人員的主要利益

第2章調查方法

  • 研究設計
  • 調查過程

第3章執行摘要

  • 主要發現

第4章市場動態

  • 市場促進因素
  • 市場限制因素
  • 波特五力分析
  • 產業價值鏈分析
  • 分析師觀點

第5章 時尚界的人工智慧市場：依應用分類

  • 介紹
  • 設計
  • 趨勢預測
  • 庫存管理
  • 退貨處理
  • 客戶支援
  • 其他

第6章時尚界的人工智慧市場：透過提供

  • 介紹
  • 軟體
  • 服務

第7章 時尚界的人工智慧市場：依科技分類

  • 介紹
  • 機器學習
  • 機器人流程自動化
  • 電腦視覺
  • 其他

第8章時尚人工智慧市場：按地區

  • 介紹
  • 北美洲
    • 按用途
    • 透過提供
    • 依技術
    • 按國家/地區
  • 南美洲
    • 按用途
    • 透過提供
    • 依技術
    • 按國家/地區
  • 歐洲
    • 按用途
    • 透過提供
    • 依技術
    • 按國家/地區
  • 中東/非洲
    • 按用途
    • 透過提供
    • 依技術
    • 按國家/地區
  • 亞太地區
    • 按用途
    • 透過提供
    • 依技術
    • 按國家/地區

第9章競爭環境及分析

  • 主要企業及策略分析
  • 市場佔有率分析
  • 合併、收購、協議和合作
  • 競爭對手儀表板

第10章 公司簡介

  • Microsoft Corporation
  • Amazon Web Services Inc.
  • IBM Corporation
  • Koninklijke Philips NV
  • Stylumia Intelligence Technology Pvt. Ltd.
  • LALALAND
  • True Fit Corporation
  • Stitch Fix, Inc.
  • ZMO.AI
  • Zalando SE
簡介目錄
Product Code: KSI061614409

Artificial intelligence (AI) in the fashion market is expected to grow at a CAGR of 41.46% from US$1,752.205 million in 2024 to US$9,925.913 million by 2029.

The incorporation of AI is one of the significant factors influencing the growth of several segments of the fashion business. AI technology boosts client satisfaction and loyalty via personalized shopping experiences using data analysis. AR & AI Virtual Try-On and Fitting Room solutions enhance the customer shopping experience, reducing returns times and ensuring a high level of certainty. The industry will continue to benefit from supply chain optimization, dynamic pricing, fraud detection, trend research, and new product innovation, focusing on sustainability. These initiatives will help address rapidly changing customer expectations by improving secure transactions and operational efficiency. The fashion market is a fluid environment that also improves standards, although the introduction of AI has a broader impact on driving this industry.

Furthermore, according to the USCC data of April 2023, it is anticipated that more people will be shopping online and being influenced in their buying decisions by social media. By 2022, the fast fashion business was expected to account for $106.4 billion in revenue. Using a centralized and fast-moving supply chain and leveraging the search histories of consumers on its app, Shein is taking major market share in the United States, competing with rivals such as Zara and H&M, according to the same source. Other fashion-related Chinese businesses are taking an interest in this AI business model.

AI IN FASHION MARKET DRIVERS:

  • The increasing popularity of AI in the fashion industry is presumed to aid in market growth.

The adoption of AI is expected in fashion, with more picky customers seeking unique style preferences and experiences. AI-led recommendations, influencer inspiration, and customizable products are driving a growing proportion of this shift. Rather than thinking about a one-size-fits-all, current times focus more on the individual. As such, consumer demands lean towards personalization, and brands respond by adopting innovative technologies. It demonstrates a significant shift in how people connect with the industry they engage with and also deeply offers their input for advancements through data insights.

AI will largely facilitate these aims, and the white paper will ensure that the UK is positioning itself as the world's leading location for developing, testing, and using AI technology. As per the UK government's updated data of 3 August 2023, about the recent announcements of £110 million for our AI Tech Missions Fund, £900 million to create a new AI Research Resource, and £8 million to establish an exascale supercomputer that can run large AI models. This is all backed by a further £117 million of funding and an £8 million AI Global Talent Network, which would be utilized to award AI researchers hundreds of new PhDs.

AI In Fashion Market Geographical Outlook

  • The North American region is expected to hold a substantial AI in fashion market share.

Recently, owing to the increasing number of AI companies in the country, like IBM and Microsoft Corporation, the market for AI in fashion is flourishing tremendously, especially in North America, where the fashion industry has witnessed exponential growth. Moreover, the increasing penetration of social media and the adoption of local businesses in the country are contributing towards market spillover for the envisaged time frame. Additionally, there is a more prevalent focus on ensuring that companies are increasingly AI-ready across all sectors of the area, with fashion being one of the fastest-growing divisions covering the market.

Introduction of new products in the market of AI in the fashion industry. For example, in June 2023, Google announced a new AI shopping feature that allows one to try on clothes virtually. This is a new generative AI model that can take one image of a dress and show how it will be draped, folded, clung to skin, stretched, and wrinkled on different real models in different poses. In June, this was only available for shoppers in the USA, and women shoppers could try women's tops across Google, including brands such as Anthropologie, Everlane, H&M, and LOFT. Hence, as the brands are releasing the real importance of AI in the fashion industry coupled with the increasing focus of companies, it is anticipated to provide an edge for market growth in the projected period.

Additionally, investments in the AI industry are increasing in the country. For instance, in May 2023, the U.S. National Science Foundation, in collaboration with other federal agencies, higher education institutes, and other stakeholders, announced an investment of US$140 million. This investment will establish seven new National Artificial Intelligence Research Institutes (AI Institutes) in the country.

Reasons for buying this report:-

  • Insightful Analysis: Gain detailed market insights covering major as well as emerging geographical regions, focusing on customer segments, government policies and socio-economic factors, consumer preferences, industry verticals, other sub- segments.
  • Competitive Landscape: Understand the strategic maneuvers employed by key players globally to understand possible market penetration with the correct strategy.
  • Market Drivers & Future Trends: Explore the dynamic factors and pivotal market trends and how they will shape up future market developments.
  • Actionable Recommendations: Utilize the insights to exercise strategic decision to uncover new business streams and revenues in a dynamic environment.
  • Caters to a Wide Audience: Beneficial and cost-effective for startups, research institutions, consultants, SMEs, and large enterprises.

What do businesses use our reports for?

Industry and Market Insights, Opportunity Assessment, Product Demand Forecasting, Market Entry Strategy, Geographical Expansion, Capital Investment Decisions, Regulatory Framework & Implications, New Product Development, Competitive Intelligence

Report Coverage:

  • Historical data & forecasts from 2022 to 2029
  • Growth Opportunities, Challenges, Supply Chain Outlook, Regulatory Framework, Customer Behaviour, and Trend Analysis
  • Competitive Positioning, Strategies, and Market Share Analysis
  • Revenue Growth and Forecast Assessment of segments and regions including countries
  • Company Profiling (Strategies, Products, Financial Information, and Key Developments among others)

Market Segmentation:

The AI In Fashion Market is segmented and analyzed as below:

By Application

  • Deep Design
  • Trend Forecasting
  • Inventory Management
  • Return Processing
  • Customer Support
  • Others

By Offering

  • Software
  • Services

By Technology

  • Machine Learning
  • Robotic Process Automation
  • Computer Vision
  • Others

By Geography

  • North America
  • USA
  • Canada
  • Mexico
  • South America
  • Brazil
  • Argentina
  • Others
  • Europe
  • United Kingdom
  • Germany
  • France
  • Spain
  • Others
  • Middle East and Africa
  • Saudi Arabia
  • UAE
  • Israel
  • Others
  • Asia Pacific
  • China
  • Japan
  • India
  • South Korea
  • Indonesia
  • Taiwan
  • Others

TABLE OF CONTENTS

1. INTRODUCTION

  • 1.1. Market Overview
  • 1.2. Market Definition
  • 1.3. Scope of the Study
  • 1.4. Market Segmentation
  • 1.5. Currency
  • 1.6. Assumptions
  • 1.7. Base and Forecast Years Timeline
  • 1.8. Key benefits for the stakeholders

2. RESEARCH METHODOLOGY

  • 2.1. Research Design
  • 2.2. Research Process

3. EXECUTIVE SUMMARY

  • 3.1. Key Findings

4. MARKET DYNAMICS

  • 4.1. Market Drivers
  • 4.2. Market Restraints
  • 4.3. Porter's Five Forces Analysis
    • 4.3.1. Bargaining Power of Suppliers
    • 4.3.2. Bargaining Power of Buyers
    • 4.3.3. Threat of New Entrants
    • 4.3.4. Threat of Substitutes
    • 4.3.5. Competitive Rivalry in the Industry
  • 4.4. Industry Value Chain Analysis
  • 4.5. Analyst View

5. AI IN FASHION MARKET BY APPLICATION

  • 5.1. Introduction
  • 5.2. Design
  • 5.3. Trend Forecasting
  • 5.4. Inventory Management
  • 5.5. Return Processing
  • 5.6. Customer Support
  • 5.7. Others

6. AI IN FASHION MARKET BY OFFERING

  • 6.1. Introduction
  • 6.2. Software
  • 6.3. Services

7. AI IN FASHION MARKET BY TECHNOLOGY

  • 7.1. Introduction
  • 7.2. Machine Learning
  • 7.3. Robotic Process Automation
  • 7.4. Computer Vision
  • 7.5. Others

8. AI IN FASHION MARKET BY GEOGRAPHY

  • 8.1. Introduction
  • 8.2. North America
    • 8.2.1. By Application
    • 8.2.2. By Offering
    • 8.2.3. By Technology
    • 8.2.4. By Country
      • 8.2.4.1. USA
      • 8.2.4.2. Canada
      • 8.2.4.3. Mexico
  • 8.3. South America
    • 8.3.1. By Application
    • 8.3.2. By Offering
    • 8.3.3. By Technology
    • 8.3.4. By Country
      • 8.3.4.1. Brazil
      • 8.3.4.2. Argentina
      • 8.3.4.3. Others
  • 8.4. Europe
    • 8.4.1. By Application
    • 8.4.2. By Offering
    • 8.4.3. By Technology
    • 8.4.4. By Country
      • 8.4.4.1. United Kingdom
      • 8.4.4.2. Germany
      • 8.4.4.3. France
      • 8.4.4.4. Spain
      • 8.4.4.5. Others
  • 8.5. Middle East and Africa
    • 8.5.1. By Application
    • 8.5.2. By Offering
    • 8.5.3. By Technology
    • 8.5.4. By Country
      • 8.5.4.1. Saudi Arabia
      • 8.5.4.2. UAE
      • 8.5.4.3. Israel
      • 8.5.4.4. Others
  • 8.6. Asia Pacific
    • 8.6.1. By Application
    • 8.6.2. By Offering
    • 8.6.3. By Technology
    • 8.6.4. By Country
      • 8.6.4.1. China
      • 8.6.4.2. Japan
      • 8.6.4.3. India
      • 8.6.4.4. South Korea
      • 8.6.4.5. Indonesia
      • 8.6.4.6. Taiwan
      • 8.6.4.7. Others

9. COMPETITIVE ENVIRONMENT AND ANALYSIS

  • 9.1. Major Players and Strategy Analysis
  • 9.2. Market Share Analysis
  • 9.3. Mergers, Acquisitions, Agreements, and Collaborations
  • 9.4. Competitive Dashboard

10. COMPANY PROFILES

  • 10.1. Microsoft Corporation
  • 10.2. Amazon Web Services Inc.
  • 10.3. IBM Corporation
  • 10.4. Koninklijke Philips N.V
  • 10.5. Stylumia Intelligence Technology Pvt. Ltd.
  • 10.6. LALALAND
  • 10.7. True Fit Corporation
  • 10.8. Stitch Fix, Inc.
  • 10.9. ZMO.AI
  • 10.10. Zalando SE