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市场调查报告书
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1574134

时尚界人工智慧 (AI) 市场：2024-2029 年预测

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个工作天内

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简介目录

时尚人工智慧（AI）市场预计将从2024年的1,752,205,000美元成长到2029年的9,925,913,000美元，复合年增长率为41.46%。

人工智慧的引入是影响时尚业务多个领域成长的关键因素之一。人工智慧技术利用资料分析，透过个人化的购物体验来提高顾客满意度和忠诚度。 AR&AI虚拟试衣及试衣间解决方案改善顾客购物体验，减少退货时间并确保高确定性。该行业将继续受益于专注于供应链优化、动态定价、诈欺检测、趋势研究和永续性的新产品创新。这些倡议可能透过提高安全交易和业务效率来帮助满足快速变化的客户期望。时尚市场是一个流动的环境，人工智慧的采用将对推动产业产生更广泛的影响，但标准也会提高。

此外，根据 USCC 2023 年 4 月的资料，预计会有更多的人在线上购物，他们的购买决策会受到社群媒体的影响。到2022年，快时尚业务销售额预计将达到1,064亿美元。消息人士称，透过利用集中、高速的供应链和消费者的应用程式搜寻历史，Shein 在美国获得了巨大的市场占有率，并正在与 ZARA 和 H&M 等竞争对手竞争。其他中国时尚公司也对这种人工智慧经营模式感兴趣。

时尚界人工智慧市场的驱动因素：

  • 人工智慧在时尚产业的日益普及预计将有助于市场的成长。

寻求独特风格偏好和体验的挑剔顾客数量正在增加，人工智慧在时尚领域的引入令人期待。人工智慧主导的建议、影响者的灵感和可客製化的产品正在推动这一转变。在当今世界，我们更重视个人，而不是考虑什么对每个人都是最好的。因此，消费者的需求倾向于个人化，品牌也透过采用创新技术来因应。这代表着人们与所在行业联繫方式的重大转变，并透过资料洞察为进步提供了深刻的声音。

人工智慧将极大地促进这些目标的实现，政府的官方报告将确保英国在开发、测试和使用人工智慧技术方面处于世界领先地位。英国政府于 2023 年 8 月 3 日更新的资料显示，最近宣布向人工智慧技术使命基金拨款1.1 亿英镑，其中9 亿英镑用于创建新的人工智慧研究资源以大规模运行人工智慧模型，并已指示约800 万英镑用于建立可能的百万兆级超级电脑。此外，它还得到了 1.17 亿英镑的资金和 800 万英镑的 AI 全球人才网路的支持，该网路将用于向 AI 研究人员授予数百名博士学位。

时尚人工智慧市场的地理版图

  • 北美地区预计将占据时尚领域人工智慧市场占有率的很大一部分。

近年来，得益于IBM、微软等人工智慧公司在国内的大量涌现，时尚领域的人工智慧市场蓬勃发展，尤其是在北美，时尚产业正经历指数级成长。此外，社群媒体的渗透率不断提高以及国内本地企业的采用率不断提高，也有助于在设想的时限内产生市场外溢效应。此外，时尚是市场成长最快的行业之一，人们更广泛地关注使该地区所有行业的公司越来越多地支援人工智慧。

时尚产业人工智慧市场新产品的采用。例如，2023 年 6 月，Google宣布了一项新的人工智慧购物功能，可实现虚拟试穿。这是一种新的生成式 AI 模型，它使用单一裙子图像来模拟裙子如何在真实模型上以各种姿势悬垂、折迭、紧贴和伸展，可以显示它会如何起皱。截至 6 月，该功能仅向美国消费者开放，女性消费者可以试穿 Google 旗下的女性用上衣，包括 Anthropologie、Everlane、H&M 和 LOFT 等品牌。因此，品牌正在宣传人工智慧在时尚产业的真正重要性，加上公司知名度的不断提高，预计将在预测期内为市场成长带来优势。

此外，国内对AI产业的投资也不断增加。例如，2023年5月，美国国家科学基金会与其他联邦机构、高等教育机构和其他相关人员合作，宣布投资1.4亿美元。透过这项投资，该国将建立七个新的国家人工智慧研究所（AI Institute）。

为什么要购买这份报告？

  • 富有洞察力的分析：获得涵盖关键和新兴区域的深入市场洞察，重点关注客户细分、政府政策和社会经济因素、消费者偏好、行业领域和其他子区隔。
  • 竞争格局：了解世界主要企业采取的策略策略，并了解透过正确的策略渗透市场的潜力。
  • 市场驱动因素和未来趋势：探索动态因素和关键市场趋势以及它们将如何塑造未来市场开拓。
  • 可行的建议：利用洞察力做出策略决策，在动态环境中释放新的业务流和收益。
  • 面向广大受众：对于新兴企业、研究机构、顾问、中小型企业和大型企业有用且具有成本效益。

公司使用我们的报告的目的是什么？

产业和市场考量、机会评估、产品需求预测、打入市场策略、地理扩张、资本投资决策、法律规范与影响、新产品开拓、竞争影响

调查范围

  • 过去的资料/预测，2022-2029
  • 成长机会、挑战、供应链前景、法规结构、顾客行为、趋势分析
  • 竞争对手的市场状况、策略与市场占有率分析
  • 包括国家在内的细分市场和地区的收益成长和预测评估
  • 公司简介（策略、产品、财务资讯、主要发展等）

目录

第一章简介

  • 市场概况
  • 市场定义
  • 调查范围
  • 市场区隔
  • 货币
  • 先决条件
  • 基准年和预测年时间表
  • 相关人员的主要利益

第二章调查方法

  • 研究设计
  • 调查过程

第三章执行摘要

  • 主要发现

第四章市场动态

  • 市场驱动因素
  • 市场限制因素
  • 波特五力分析
  • 产业价值链分析
  • 分析师观点

第五章 时尚界的人工智慧市场：依应用分类

  • 介绍
  • 设计
  • 趋势预测
  • 库存管理
  • 退货处理
  • 客户支援
  • 其他的

第六章时尚界的人工智慧市场：透过提供

  • 介绍
  • 软体
  • 服务

第七章 时尚界的人工智慧市场：依科技分类

  • 介绍
  • 机器学习
  • 机器人流程自动化
  • 电脑视觉
  • 其他的

第八章时尚人工智慧市场：按地区

  • 介绍
  • 北美洲
    • 按用途
    • 透过提供
    • 依技术
    • 按国家/地区
  • 南美洲
    • 按用途
    • 透过提供
    • 依技术
    • 按国家/地区
  • 欧洲
    • 按用途
    • 透过提供
    • 依技术
    • 按国家/地区
  • 中东/非洲
    • 按用途
    • 透过提供
    • 依技术
    • 按国家/地区
  • 亚太地区
    • 按用途
    • 透过提供
    • 依技术
    • 按国家/地区

第九章竞争环境及分析

  • 主要企业及策略分析
  • 市场占有率分析
  • 合併、收购、协议和合作
  • 竞争对手仪表板

第十章 公司简介

  • 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
简介目录
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