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市场调查报告书
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时尚市场人工智慧按产品类型、部署模式、应用程式和最终用户划分——2025-2032 年全球预测

Artificial Intelligence in Fashion Market by Product Type, Deployment Mode, Application, End User - Global Forecast 2025-2032
出版日期: | 出版商: 360iResearch | 英文 189 Pages | 商品交期: 最快1-2个工作天内

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预计到 2032 年，时尚领域的人工智慧市场将成长至 30.9685 亿美元，复合年增长率为 20.12%。

主要市场统计数据
基准年2024年 7.1429亿美元
预计2025年 8.5838亿美元
预测年份：2032年 30.9685亿美元
复合年增长率（%） 20.12%

新的人工智慧功能如何重塑全球时尚生态系统的创新流程、营运模式和客户体验

人工智慧在时尚领域的应用已超越实验阶段，成为设计、供应链、客户体验和零售营运等业务转型的核心。生成式设计工具和数据主导的个人化引擎正在改变创新工作流程，使品牌能够缩短前置作业时间、消除浪费，并向特定客户群提供高度相关的产品。同时，电脑视觉和扩增实境(AR) 应用正在重新定义消费者在数位和实体环境中发现、评估和与服装及配件互动的方式。

随着应用的不断深入，创新直觉与演算法优化之间的相互作用催生了混合运营模式，在这种模式下，人类设计师、行销人员和策略专家与人工智慧协同工作，共同检验假设、快速迭代并扩展已验证的概念。这种转变得益于企业基础设施的日趋成熟、标记影像和交易资料的日益普及，以及云端基础工具链的普及，这些工具链降低了中端市场企业的进入门槛。因此，先前将人工智慧视为利基增强型业务的组织现在正在重新调整其人才、管治和供应商选择，将人工智慧视为一项战略能力，并且必须确保对其管治、衡量和资源配置。

重要的是，符合道德的设计、人工智慧输出的透明度以及消费者信任正成为商业性认可的关键。品牌正在重新调整其资料收集实践和同意机制，以维护品牌股权，同时释放个人化的优势。这个时代的赢家将是那些能够将人工智慧融入可重复业务流程、在客户参与和营运韧性方面取得显着提升，并在技术卓越的同时保持创造性独特性的公司。

生成设计、需求感知和个人化商务的整合将推动永续时尚经营模式。

时尚界正在经历一场由人工智慧技术进步驱动的变革，彻底改变产品的概念化、生产、行销和销售方式。在设计方面，生成式模型加速了创意的形成，并能够快速探索款式组合、材质组合和版型变化，而模拟工具则减少了对实体样品的依赖。这不仅缩短了产品上市时间，也为限量版和大规模订製创造了新的可能性，以应对短暂的文化趋势。

物流网路受益于增强的路线优化和预测性维护，从而缩短了前置作业时间并降低了成本。在商务漏斗中，个人化引擎和动态创新优化可提供连贯的全通路体验，这些体验可根据个人意图讯号进行调整，从而提高转换效率和平均订单价值。社群和直播商务管道透过人工智慧主导的内容审核和推荐演算法得到增强，在灵感迸发时客製化产品发现。

这种转变正在强化既有企业和新兴颠覆者之间的整合策略。零售商正在投资模组化技术堆迭和可互通的API，以快速整合最佳的AI服务；品牌则在尝试透过代币化稀缺性、转售认证和来源追踪等技术实现循环设计。这些累积效应将使产业更具反应能力，能够根据需求调整生产，减少浪费，并大规模提供个人化的价值提案。

透过人工智慧驱动的筹资策略、到岸成本分析和弹性生产网路重新设计来应对关税主导的供应链波动

预计2025年美国将进行关税调整和贸易政策变化，将对依赖全球化供应链的时尚公司产生一系列复杂的营运和策略影响。关税波动将增加依赖进口的生产模式的成本压力，迫使品牌和零售商重新评估采购区域、供应商多元化和到岸成本计算。因此，采购团队正在优先考虑近岸外包、供应商整合和增强合约弹性，以对冲政策引发的成本波动。

人工智慧技术可以透过更精细的到岸成本建模和情境分析，缓解关税变化带来的摩擦。机器学习模型会整合供应商定价、运费、关税表和前置作业时间的变化，从而得出最佳采购决策，并模拟替代生产布局的净影响。结合先进的库存编配，这些功能可以减少高关税情境下的过剩库存，并加速区域间库存的重新分配，以维持利润率和服务水准。

除了成本管理之外，关税相关的干扰也加速了弹性网路设计原则的采用。各大品牌正在投资多节点供应网络，以补充产能并将生产转移到享有更优惠贸易待遇的工厂。同时，产品团队正在重新思考材料清单的复杂性，以减少关税敏感零件的发生率，并实施数位产品护照以简化海关合规流程。这些措施凸显了人工智慧分析和营运重塑是应对日益增加的贸易政策不确定性环境的重要工具。

将人工智慧投资与产品、部署、应用和最终用户细分相结合，以最大限度地提高业务影响和客户相关性

深入了解产品、部署、应用和最终用途细分，对于协调 AI 投资并优先考虑能够带来策略价值的用例至关重要。按产品类型分类，解决方案涵盖配件、服装、鞋类和珠宝，其中服装进一步细分为童装、男装和女性服饰，鞋类细分为休閒装、正装和运动装。

云分为私有云端云和公共云端，这些差异会影响有关资料驻留、延迟、成本结构和整合复杂性的决策。从应用角度来看，人工智慧倡议通常针对需求预测、库存管理、个人化、供应链优化、趋势预测和虚拟试穿。需求预测可以改善季节性预测和基于趋势的方法；库存管理通常包括自动补货和库存监控；个人化可以表现为聊天机器人造型、电子邮件推荐或网站个性化；供应链优化通常包括需求计划和物流优化；趋势预测涵盖长期和短期时间范围；虚拟试穿是使用扩增实境和虚拟现实技术实现的。这些应用程式需要不同的资料集，从高频 POS 和网路行为日誌到高保真影像和 3D 产品资产。

终端用户细分涵盖电商平台、奢侈品牌和细分市场，每个细分市场对实验、投资速度和品牌控制的接受度各不相同。奢侈品牌优先考虑性能、客户体验和叙事主导的个人化；量贩店优先考虑规模、成本效益和产品种类的广度；而电商平台则优先考虑无缝发现和转换率优化。根据这些细分市场的特征调整您的 AI 程式管治、工具选择和测量框架，可以加速产生影响并减少营运摩擦。

了解管理体制、消费行为和基础设施的区域差异，以协调美洲、欧洲、中东和非洲地区以及亚太地区的人工智慧策略

区域动态将对整个时尚产业的人工智慧应用路径、监管预期和商业机会产生重大影响。在美洲，对直销平台、快速履约能力和先进个人化技术的投资正在推动差异化的客户体验，而对资料隐私和跨境资料流的监管担忧正在影响实施选择。北美公司也正在尝试循环经营模式和转售认证，并藉助人工智慧驱动的可追溯性工具进行支援。

欧洲、中东和非洲地区不同的法律规范和文化，造就了各异的招募条件。欧洲对隐私、永续性标准和劳动法规的重视，推动了对透明人工智慧系统和数位产品护照的需求。同时，中东地区的奢侈品消费正在蓬勃发展，并渴望采用身临其境型商务解决方案；而非洲部分地区则涌现出突破传统基础设施限制的创新行动优先零售模式。这些地区差异将影响品牌在模型在地化、合规工具以及与本地技术提供者的伙伴关係的投资重点。

亚太地区是一个多元化且持续快速发展的地区，拥有强大的电商渗透力、先进的行动支付生态系统，以及国家支持的工业现代化计划，加速了人工智慧在製造业和物流领域的整合。亚太时尚生态系统经常被用作社交商务、直播零售、整合供应网络等快速实验的试验场。这些区域发展轨迹凸显了跨国公司需要采取灵活的部署策略，尊重当地管理体制、消费者期望和基础设施现状，同时实现品牌和营运标准的全球一致性。

评估供应商生态系统、专业知识和伙伴关係模式，以选择在技术深度、整合灵活性和管治之间取得平衡的人工智慧提供者。

竞争格局由现有的技术供应商、专注于人工智慧的供应商、平台公司和顾问公司组成的生态系统塑造，它们共同塑造时尚产业解决方案的可用性和成熟度。提供端到端平台的技术供应商提供涵盖数位资产管理、建议引擎和编配的整合功能，使偏好打包解决方案的组织能够更快地实现价值。专业的新兴企业专注于利基功能，例如衍生设计、3D试穿、来源追踪和供应链分析，提供可融入更广泛架构的深度功能。

品牌与技术提供者之间的策略伙伴关係正日益普遍，而联合开发协议使大型零售商和时装公司能够将其专有数据和设计原则融入客製化的人工智慧模型中。顾问公司主导的转型专案有助于将组织流程、人才和管治与技术部署相结合，从而加速需要变革管理支援的企业采用人工智慧技术。因此，采购团队不仅应根据技术效能评估供应商，还应根据资料管理实务、模型可解释性、整合灵活性以及支援可扩展到生产的迭代试点的能力等标准来评估供应商。

开放标准和互通性倡议正在影响供应商的选择，公司青睐模组化堆迭，这使得他们能够在不锁定的情况下交换最佳组合。因此，竞争差异越来越依赖提供特定领域的训练资料的能力，透过操作回馈循环不断改进模型，并提供满足品牌和监管要求的透明管治框架。

建立弹性的人工智慧蓝图，结合快速采用、强大的管治和人才发展，确保时尚领域的永续竞争优势

产业领导者应制定切实可行的蓝图，并依照策略影响、技术可行性和组织准备对人工智慧倡议进行排序。首先，确定可在现有资料资产中实施的高回报案例，例如提高需求可见度或自动化补货工作流程，同时投资基础能力，例如资料品质流程、统一产品目录和标准化 API。组成商品行销、设计、资料科学和工程于一体的跨职能团队，可以加速部署，并将领域专业知识融入模型开发中。

领导者还应规范道德和营运管治，以确保模型符合品牌标准、公平原则和监管要求。这包括建立模型审查週期、效能监控机制和事件回应通讯协定，以应对资料品质偏差和意外行为后果。同时，对机器学习营运、数据标籤和人工智慧产品管理等内部团队的技能提升和人才培养进行投资，将有助于维护组织知识储备，并减少对外部供应商的依赖。

最后，实施分层供应商策略，将快速见效的承包解决方案与差异化能力的伙伴关係结合。优先考虑模组化架构以保持可选性，并将营运绩效与持续模型改进联繫起来的回馈循环制度化。在快速影响与长期能力建设之间取得平衡，使组织能够从人工智慧中获得永续的收益，同时保持其创造性特征和商业性敏捷性。

透过高阶主管访谈、营运数据分析和情境建模相结合的方式，我们检验了人工智慧的采用路径以及每个时尚品牌如何为此做好准备。

该分析结合了对行业高管、技术专家和供应链从业者的一手访谈，以及对已发布应用、专利活动、监管更新和学术文献的二手研究。透过结构化访谈，探讨部署经验、供应商选择标准和组织转型挑战，获得了定性见解。这些观点与一个定量营运资料集（包括匿名交易流、数位参与度指标和物流绩效指标）进行了三角测量，从而多角度地了解人工智慧在时尚价值链中的应用情况。

分析方法包括情境建模（用于评估关税和贸易政策波动下的供应链韧性）、机器学习就绪度评估（用于评估跨职能领域的资料成熟度）以及能力映射（用于使供应商产品与企业需求保持一致）。我们透过案例研究和演示审查来检验技术声明，并透过司法管辖政策审查来评估道德和监管风险。调查方法和资料来源具有高度可复製性，且情境输出所依据的来源和假设均已记录，使企业团队能够根据自身资料和商业性约束调整方法。

透过严格的管治、模组化架构和持续的组织学习，将人工智慧实验转化为永久能力

人工智慧正在重塑时尚，从创意到售后服务，积极整合策略、人才和技术的机构将获得巨大的价值。最直接的益处将来自于人工智慧解决明显的商业摩擦，例如库存与需求不匹配、设计迭代周期缓慢以及数位通路转换率低。随着时间的推移，随着人工智慧能力能够实现差异化的客户体验、更敏捷的供应网络和循环式业务创新，其策略价值也将不断提升。

但要实现这项承诺，需要在架构、管治和伙伴关係关係方面做出有针对性的选择。建立模组化技术堆迭、规范道德监督并投资于持续学习的公司，更有可能适应政策变化和消费者期望。应将人工智慧视为长期策略能力，而非一系列互不相关的试点项目，并设计将技术成果转化为业务常规的组织流程。如此一来，品牌和零售商就能在保持创造性差异化的同时，实现更强的商业性韧性和环境责任感。

目录

第一章：前言

第二章调查方法

第三章执行摘要

第四章 市场概况

第五章 市场洞察

  • 实现生成式人工智慧，快速原型製作永续织物设计和图案的原型
  • 人工智慧驱动的供应链分析可优化存量基准并减少快时尚的废弃物
  • 使用电脑视觉演算法实现生产线品质检查和缺陷检测的自动化
  • 人工智慧分析消费者社群媒体和购物行为数据，提供个人化的造型建议。
  • 自然语言处理聊天机器人集成，增强客户服务和造型指导
  • 人工智慧 3D 身体扫描可创造超精确的数位化身，从而减少服装退货
  • 开发一个人工智慧趋势预测模型，分析来自世界各地的社交媒体和跑道图像讯号
  • 应用机器学习优化染色製程并最大限度地减少纺织品对环境的影响
  • 人工智慧Start-Ups与奢侈品牌联手开发内建感光元件的限量版智慧服饰
  • 线上时尚零售平台采用强化学习演算法实现自动动态定价

第六章：2025年美国关税的累积影响

第七章：人工智慧的累积影响，2025年

第八章时尚市场中的人工智慧（按产品类型）

  • 配件
  • 衣服
    • 儿童服装
    • 男装
    • 女性服饰
  • 鞋类
    • 随意的
    • 正式的
    • 运动的
  • 珠宝

第九章时尚领域的人工智慧市场（按部署模式）

  • 云
    • 私有云端
    • 公共云端
  • 本地部署

第十章时尚领域的人工智慧市场（按应用）

  • 需求预测
    • 季节预测
    • 基于趋势
  • 库存管理
    • 自动补货
    • 库存监控
  • 个人化
    • 聊天机器人造型
    • 电子邮件推荐
    • 网站个人化
  • 供应链优化
    • 需求计划
    • 物流最佳化
  • 趋势预测
    • 长期
    • 短期
  • 虚拟试穿
    • 扩增实境
    • 虚拟实境

第 11 章时尚领域的人工智慧市场（按最终用户划分）

  • 电商平台
  • 奢侈品牌
  • 量贩店

第十二章时尚市场中的人工智慧（按地区）

  • 美洲
    • 北美洲
    • 拉丁美洲
  • 欧洲、中东和非洲
    • 欧洲
    • 中东
    • 非洲
  • 亚太地区

第十三章时尚产业的人工智慧市场（按类别）

  • ASEAN
  • GCC
  • EU
  • BRICS
  • G7
  • NATO

第 14 章时尚市场中的人工智慧（按国家/地区）

  • 美国
  • 加拿大
  • 墨西哥
  • 巴西
  • 英国
  • 德国
  • 法国
  • 俄罗斯
  • 义大利
  • 西班牙
  • 中国
  • 印度
  • 日本
  • 澳洲
  • 韩国

第十五章竞争格局

  • 2024年市占率分析
  • 2024年FPNV定位矩阵
  • 竞争分析
    • International Business Machines Corporation
    • Microsoft Corporation
    • SAP SE
    • Oracle Corporation
    • Adobe Inc.
    • Salesforce, Inc.
    • Amazon.com, Inc.
    • Klevu Oy
    • Capgemini SE
    • Infosys Limited
Product Code: MRR-031BF22FA1F5

The Artificial Intelligence in Fashion Market is projected to grow by USD 3,096.85 million at a CAGR of 20.12% by 2032.

KEY MARKET STATISTICS
Base Year [2024] USD 714.29 million
Estimated Year [2025] USD 858.38 million
Forecast Year [2032] USD 3,096.85 million
CAGR (%) 20.12%

How emerging AI capabilities are reshaping creative processes, operational models, and customer experiences across the global fashion ecosystem

The infusion of artificial intelligence into fashion has moved beyond experimental pilots to become a central axis of business transformation across design, supply chain, customer experience, and retail operations. Generative design tools and data-driven personalization engines are altering creative workflows and enabling brands to compress lead times, reduce waste, and deliver hyper-relevant product assortments to distinct customer cohorts. Meanwhile, computer vision and augmented reality applications are redefining how consumers discover, evaluate, and interact with apparel and accessories in both digital and physical contexts.

As adoption deepens, the interplay between creative intuition and algorithmic optimization is producing hybrid operating models in which human designers, merchandisers, and strategists collaborate with AI to test hypotheses, iterate rapidly, and scale proven concepts. This shift is supported by maturing enterprise infrastructure, increased availability of labeled image and transaction data, and a proliferation of cloud-based toolchains that lower the barrier to entry for mid-market players. In consequence, organizations that previously treated AI as a niche enhancement are now reorganizing talent, governance, and vendor selection to treat AI as a strategic capability that must be governed, measured, and resourced accordingly.

Importantly, ethical design considerations, transparency in AI outputs, and consumer trust are becoming central to commercial acceptance. Brands are recalibrating data collection practices and consent mechanisms to preserve brand equity while unlocking personalization gains. This epoch marks a transition from isolated experiments to ecosystem-level adoption where the winners will be those who can integrate AI into repeatable business processes, demonstrate measurable improvements in customer engagement and operational resilience, and sustain creative distinctiveness alongside technical excellence.

The convergence of generative design, demand sensing, and personalized commerce is catalyzing a new era of responsive and sustainable fashion business models

The fashion landscape is experiencing transformative shifts driven by advances in AI that are altering how products are conceptualized, produced, marketed, and sold. On the design front, generative models accelerate ideation and enable rapid exploration of style permutations, material combinations, and fit variations, while simulation tools reduce reliance on physical sampling. This accelerates time-to-market and opens new possibilities for limited-edition runs and mass-customized offers that respond to short-lived cultural moments.

Operationally, AI is changing inventory dynamics by improving demand sensing and automating replenishment decisions; logistics networks benefit from enhanced route optimization and predictive maintenance, reducing lead times and costs. In the commercial funnel, personalization engines and dynamic creative optimization are delivering coherent omnichannel experiences that adapt to individual intent signals, thereby improving conversion efficiency and average order values. Social and live commerce channels are being amplified by AI-driven content moderation and recommendation algorithms that tailor product discovery at the point of inspiration.

These shifts are reinforcing convergent strategies among incumbents and fast-moving challengers. Retailers are investing in modular technology stacks and interoperable APIs to rapidly combine best-of-breed AI services, while brands are experimenting with tokenized scarcity, resale authentication, and circular design enabled by provenance tracking. The cumulative effect is a more responsive, data-informed industry capable of aligning production with demand, reducing waste, and delivering personalized value propositions at scale.

Navigating tariff-driven supply chain volatility through AI-enabled sourcing strategies, landed-cost analytics, and resilient production network redesign

Anticipated tariff adjustments and trade policy changes in the United States in 2025 introduce a complex set of operational and strategic implications for fashion companies that rely on globalized supply chains. Tariff variability increases the cost-pressure on import-dependent production models and compels brands and retailers to re-evaluate sourcing geographies, supplier diversification, and landed cost calculations. As a result, procurement teams are prioritizing nearshoring, supplier consolidation, and greater contractual flexibility to hedge against policy-driven cost volatility.

AI technologies can mitigate some of the friction created by tariff shifts by enabling more granular landed-cost modeling and scenario analysis. Machine learning models ingest supplier pricing, freight rates, tariff schedules, and lead-time variability to surface optimal sourcing decisions and to simulate the net impact of alternative production footprints. When combined with advanced inventory orchestration, these capabilities reduce overstocks in high-tariff scenarios and accelerate repositioning of inventory across regions to preserve margin and service levels.

Beyond cost management, tariff-related disruptions accelerate adoption of resilient network design principles. Brands are investing in multi-node supply networks that can reroute production to facilities with complementary capacity and more favorable trade treatments. At the same time, product teams are reconsidering bill-of-materials complexity to lower the incidence of tariff-sensitive components, and digital product passports are being deployed to streamline customs compliance. Collectively, these actions highlight how AI-enabled analytics and operational redesign are critical levers to navigate an environment of elevated trade policy uncertainty.

Aligning AI investments with product, deployment, application, and end-user segmentation to maximize operational impact and customer relevance

A granular understanding of product, deployment, application, and end-user segmentation is essential to tailor AI investments and to prioritize use cases that deliver strategic value. When categorized by product type, solutions span Accessories, Apparel, Footwear, and Jewelry, with Apparel further divided into Children's Wear, Men's Wear, and Women's Wear while Footwear is delineated into Casual, Formal, and Sports segments; each category presents distinct design constraints, sizing challenges, and seasonality dynamics that influence data requirements and model architectures.

Deployment mode considerations separate cloud from on-premise implementations, with cloud offerings splitting into private and public cloud variants; this distinction informs decisions about data residency, latency, cost structure, and integration complexity. In terms of application, AI initiatives commonly target Demand Prediction, Inventory Management, Personalization, Supply Chain Optimization, Trend Forecasting, and Virtual Try-On. Demand Prediction may be refined into seasonal forecasting and trend-based approaches, Inventory Management often includes auto replenishment and stock monitoring capabilities, Personalization can be expressed through chatbot styling, email recommendations, and website personalization, Supply Chain Optimization routinely covers demand planning and logistics optimization, Trend Forecasting operates across long-term and short-term horizons, and Virtual Try-On is implemented using augmented reality and virtual reality technologies. These applications require distinct datasets, from high-frequency point-of-sale and web behavioral logs to high-fidelity imagery and 3D product assets.

End-user segmentation spans E-Commerce Platforms, Luxury Brands, and Mass Market Retailers, each bringing different tolerance for experimentation, investment velocity, and brand custodianship. Luxury players prioritize provenance, customer experience, and narrative-driven personalization, while mass market retailers focus on scale, cost efficiency, and assortment breadth, and e-commerce platforms emphasize seamless discovery and conversion optimization. Aligning AI program governance, tooling choices, and measurement frameworks with these segment characteristics accelerates impact and reduces operational friction.

Understanding regional differences in regulatory regimes, consumer behavior, and infrastructure to tailor AI strategies across the Americas, EMEA, and Asia-Pacific

Regional dynamics exert a strong influence over AI adoption pathways, regulatory expectations, and commercial opportunities across the fashion domain. In the Americas, investment in direct-to-consumer platforms, rapid fulfillment capabilities, and advanced personalization technologies is driving differentiated customer experiences, while regulatory attention to data privacy and cross-border data flows shapes implementation choices. North American players are also experimenting with circular business models and resale authentication, supported by AI-enabled traceability tools.

In Europe, the Middle East, and Africa, regulatory frameworks and cultural diversity create a mosaic of adoption conditions. European emphasis on privacy, sustainability standards, and labor regulations drives demand for transparent AI systems and digital product passports. Meanwhile, the Middle East exhibits fast-growing luxury consumption and a willingness to deploy immersive commerce solutions, and parts of Africa show pockets of innovative mobile-first retail models that leapfrog older infrastructure constraints. These regional nuances influence where brands prioritize investments in localization of models, compliance tooling, and partnerships with regional technology providers.

The Asia-Pacific region presents a varied but consistently fast-moving picture, with strong e-commerce penetration, advanced mobile payment ecosystems, and state-backed industrial modernization initiatives that accelerate AI integration in manufacturing and logistics. Local fashion ecosystems in Asia-Pacific are frequently the testing ground for rapid experimentation with social commerce, live-streaming retail, and integrated supply networks. Together, these regional pathways underscore the necessity for multinationals to adopt flexible deployment strategies that respect local regulatory regimes, consumer expectations, and infrastructure realities while enabling global coherence in brand and operational standards.

Evaluating vendor ecosystems, specialization, and partnership models to select AI providers that balance technical depth, integration flexibility, and governance

The competitive landscape is populated by an ecosystem of incumbent technology providers, specialized AI vendors, platform companies, and consulting firms that together shape the availability and maturity of solutions for the fashion sector. Technology vendors offering end-to-end platforms provide integrated capabilities covering digital asset management, recommendation engines, and omnichannel orchestration, enabling faster time-to-value for organizations that prefer packaged solutions. Specialized startups focus on niche capabilities-such as generative design, 3D try-on, provenance tracking, or supply chain analytics-delivering deep functionality that can be composited into broader architectures.

Strategic partnerships between brands and technology providers are increasingly common, with co-development arrangements enabling larger retailers and fashion houses to embed proprietary data and design principles into customized AI models. Consultancy-led transformation programs help align organizational processes, talent, and governance with technical deployments, accelerating adoption among enterprises that require change management support. Procurement teams must therefore evaluate vendors on criteria that extend beyond technical performance to include data stewardship practices, model explainability, integration flexibility, and the ability to support iterative pilots that scale into production.

Open standards and interoperability initiatives are shaping vendor selection, as companies favor modular stacks that allow them to swap best-of-breed capabilities without incurring lock-in. As a result, competitive differentiation increasingly rests on the ability to deliver domain-specific training data, continuously improve models with operational feedback loops, and offer transparent governance frameworks that satisfy brand and regulatory requirements.

Build resilient AI roadmaps that combine quick-win deployments, robust governance, and talent development to secure sustained competitive advantage in fashion

Industry leaders should develop a pragmatic roadmap that sequences AI initiatives by strategic impact, technical feasibility, and organizational readiness. Start by identifying high-return use cases that can be operationalized within existing data estates, such as improving demand visibility or automating replenishment workflows, while concurrently investing in foundational capabilities like data quality processes, unified product catalogs, and standardized APIs. Building cross-functional squads that combine merchandising, design, data science, and engineering accelerates deployment and embeds domain expertise in model development.

Leaders must also formalize ethical and operational governance to ensure models adhere to brand standards, fairness principles, and regulatory expectations. This includes establishing model review cycles, performance monitoring mechanisms, and incident response protocols that address data quality drift and unintended behavioral outcomes. Parallel investments in talent development-upskilling in-house teams on ML ops, data labeling, and AI product management-will preserve institutional knowledge and reduce dependence on external vendors.

Finally, execute a phased vendor strategy that combines turnkey solutions for rapid wins with targeted partnerships for differentiating capabilities. Prioritize modular architectures to retain optionality, and institutionalize feedback loops that translate operational performance into continuous model improvement. By balancing quick impact with long-term capability building, organizations can realize sustainable advantages from AI while maintaining creative identity and commercial agility.

Methodology combining executive interviews, operational data analysis, and scenario modeling to validate AI adoption pathways and deployment readiness across fashion

This analysis synthesizes primary interviews with industry executives, technologists, and supply chain practitioners alongside secondary research into public filings, patent activity, regulatory updates, and academic literature. Qualitative insights were obtained from structured interviews that probed deployment experiences, vendor selection criteria, and organizational change challenges. These perspectives were triangulated with quantitative operational datasets including anonymized transaction flows, digital engagement metrics, and logistics performance indicators to create a multi-dimensional understanding of how AI is being adopted across the fashion value chain.

Analytical methods included scenario modeling to assess supply chain resilience under tariff and trade policy variance, machine learning readiness assessments to evaluate data maturity across functional domains, and capability mapping to align vendor offerings with enterprise requirements. Care was taken to validate technical claims through review of implementation case studies and demonstrations, and to assess ethical and regulatory risk through jurisdictional policy reviews. The methodology privileges reproducibility: sources and assumptions underlying scenario outputs are documented to enable corporate teams to adapt the approach to their unique data and commercial constraints.

Converting AI experiments into enduring capability through disciplined governance, modular architectures, and continuous organizational learning

AI is reshaping fashion from ideation to aftercare, and organizations that proactively align strategy, talent, and technology will capture disproportionate value. The most immediate benefits accrue when AI addresses clear commercial frictions-such as mismatched inventory and demand, slow design iteration cycles, or low conversion in digital channels-because these use cases combine measurable KPIs with achievable technical scope. Over time, the strategic value compounds as AI capabilities enable differentiated customer experiences, more agile supply networks, and circular business innovations.

However, realizing this promise requires deliberate choices about architecture, governance, and partnership. Firms that build modular technology stacks, formalize ethical oversight, and invest in continuous learning will be better positioned to adapt to policy shifts and consumer expectations. The imperative is clear: treat AI as a long-term strategic capability rather than a series of disjointed pilots, and design organizational processes that convert technical outputs into operational routines. By doing so, brands and retailers can preserve creative distinction while achieving greater commercial resilience and environmental responsibility.

Table of Contents

1. Preface

  • 1.1. Objectives of the Study
  • 1.2. Market Segmentation & Coverage
  • 1.3. Years Considered for the Study
  • 1.4. Currency & Pricing
  • 1.5. Language
  • 1.6. Stakeholders

2. Research Methodology

3. Executive Summary

4. Market Overview

5. Market Insights

  • 5.1. Implementation of generative AI for rapid prototyping of sustainable fabric designs and patterns
  • 5.2. Adoption of AI-driven supply chain analytics to optimize inventory levels and reduce waste in fast fashion
  • 5.3. Leveraging computer vision algorithms for automated quality inspection and defect detection on production lines
  • 5.4. Personalized styling recommendations driven by AI analysis of consumer social media and shopping behavior data
  • 5.5. Integration of natural language processing chatbots for enhanced customer service and styling guidance
  • 5.6. Use of AI-enabled 3D body scanning to create hyper-accurate digital avatars and reduce garment returns
  • 5.7. Development of AI-powered trend forecasting models analyzing global social media and runway imagery signals
  • 5.8. Application of machine learning to optimize dyeing processes and minimize environmental impact of textiles
  • 5.9. Collaborations between AI startups and luxury brands to create limited edition smart garments with embedded sensors
  • 5.10. Adoption of reinforcement learning algorithms for automated dynamic pricing in online fashion retail platforms

6. Cumulative Impact of United States Tariffs 2025

7. Cumulative Impact of Artificial Intelligence 2025

8. Artificial Intelligence in Fashion Market, by Product Type

  • 8.1. Accessories
  • 8.2. Apparel
    • 8.2.1. Children's Wear
    • 8.2.2. Men's Wear
    • 8.2.3. Women's Wear
  • 8.3. Footwear
    • 8.3.1. Casual
    • 8.3.2. Formal
    • 8.3.3. Sports
  • 8.4. Jewelry

9. Artificial Intelligence in Fashion Market, by Deployment Mode

  • 9.1. Cloud
    • 9.1.1. Private Cloud
    • 9.1.2. Public Cloud
  • 9.2. On Premise

10. Artificial Intelligence in Fashion Market, by Application

  • 10.1. Demand Prediction
    • 10.1.1. Seasonal Forecasting
    • 10.1.2. Trend Based
  • 10.2. Inventory Management
    • 10.2.1. Auto Replenishment
    • 10.2.2. Stock Monitoring
  • 10.3. Personalization
    • 10.3.1. Chatbot Styling
    • 10.3.2. Email Recommendations
    • 10.3.3. Website Personalization
  • 10.4. Supply Chain Optimization
    • 10.4.1. Demand Planning
    • 10.4.2. Logistics Optimization
  • 10.5. Trend Forecasting
    • 10.5.1. Long Term
    • 10.5.2. Short Term
  • 10.6. Virtual Try-On
    • 10.6.1. Augmented Reality
    • 10.6.2. Virtual Reality

11. Artificial Intelligence in Fashion Market, by End User

  • 11.1. E-Commerce Platforms
  • 11.2. Luxury Brands
  • 11.3. Mass Market Retailers

12. Artificial Intelligence in Fashion Market, by Region

  • 12.1. Americas
    • 12.1.1. North America
    • 12.1.2. Latin America
  • 12.2. Europe, Middle East & Africa
    • 12.2.1. Europe
    • 12.2.2. Middle East
    • 12.2.3. Africa
  • 12.3. Asia-Pacific

13. Artificial Intelligence in Fashion Market, by Group

  • 13.1. ASEAN
  • 13.2. GCC
  • 13.3. European Union
  • 13.4. BRICS
  • 13.5. G7
  • 13.6. NATO

14. Artificial Intelligence in Fashion Market, by Country

  • 14.1. United States
  • 14.2. Canada
  • 14.3. Mexico
  • 14.4. Brazil
  • 14.5. United Kingdom
  • 14.6. Germany
  • 14.7. France
  • 14.8. Russia
  • 14.9. Italy
  • 14.10. Spain
  • 14.11. China
  • 14.12. India
  • 14.13. Japan
  • 14.14. Australia
  • 14.15. South Korea

15. Competitive Landscape

  • 15.1. Market Share Analysis, 2024
  • 15.2. FPNV Positioning Matrix, 2024
  • 15.3. Competitive Analysis
    • 15.3.1. International Business Machines Corporation
    • 15.3.2. Microsoft Corporation
    • 15.3.3. SAP SE
    • 15.3.4. Oracle Corporation
    • 15.3.5. Adobe Inc.
    • 15.3.6. Salesforce, Inc.
    • 15.3.7. Amazon.com, Inc.
    • 15.3.8. Klevu Oy
    • 15.3.9. Capgemini SE
    • 15.3.10. Infosys Limited

LIST OF FIGURES

  • FIGURE 1. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, 2018-2032 (USD MILLION)
  • FIGURE 2. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY PRODUCT TYPE, 2024 VS 2032 (%)
  • FIGURE 3. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY PRODUCT TYPE, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 4. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY DEPLOYMENT MODE, 2024 VS 2032 (%)
  • FIGURE 5. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY DEPLOYMENT MODE, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 6. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY APPLICATION, 2024 VS 2032 (%)
  • FIGURE 7. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY APPLICATION, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 8. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY END USER, 2024 VS 2032 (%)
  • FIGURE 9. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY END USER, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 10. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY REGION, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 11. AMERICAS ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY SUBREGION, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 12. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 13. LATIN AMERICA ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 14. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY SUBREGION, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 15. EUROPE ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 16. MIDDLE EAST ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 17. AFRICA ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 18. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 19. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY GROUP, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 20. ASEAN ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 21. GCC ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 22. EUROPEAN UNION ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 23. BRICS ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 24. G7 ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 25. NATO ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 26. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 27. ARTIFICIAL INTELLIGENCE IN FASHION MARKET SHARE, BY KEY PLAYER, 2024
  • FIGURE 28. ARTIFICIAL INTELLIGENCE IN FASHION MARKET, FPNV POSITIONING MATRIX, 2024

LIST OF TABLES

  • TABLE 1. ARTIFICIAL INTELLIGENCE IN FASHION MARKET SEGMENTATION & COVERAGE
  • TABLE 2. UNITED STATES DOLLAR EXCHANGE RATE, 2018-2024
  • TABLE 3. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, 2018-2024 (USD MILLION)
  • TABLE 4. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, 2025-2032 (USD MILLION)
  • TABLE 5. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY PRODUCT TYPE, 2018-2024 (USD MILLION)
  • TABLE 6. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY PRODUCT TYPE, 2025-2032 (USD MILLION)
  • TABLE 7. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY ACCESSORIES, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 8. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY ACCESSORIES, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 9. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY ACCESSORIES, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 10. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY ACCESSORIES, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 11. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY ACCESSORIES, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 12. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY ACCESSORIES, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 13. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY APPAREL, 2018-2024 (USD MILLION)
  • TABLE 14. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY APPAREL, 2025-2032 (USD MILLION)
  • TABLE 15. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY APPAREL, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 16. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY APPAREL, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 17. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY APPAREL, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 18. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY APPAREL, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 19. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY APPAREL, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 20. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY APPAREL, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 21. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY CHILDREN'S WEAR, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 22. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY CHILDREN'S WEAR, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 23. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY CHILDREN'S WEAR, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 24. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY CHILDREN'S WEAR, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 25. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY CHILDREN'S WEAR, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 26. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY CHILDREN'S WEAR, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 27. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY MEN'S WEAR, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 28. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY MEN'S WEAR, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 29. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY MEN'S WEAR, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 30. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY MEN'S WEAR, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 31. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY MEN'S WEAR, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 32. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY MEN'S WEAR, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 33. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY WOMEN'S WEAR, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 34. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY WOMEN'S WEAR, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 35. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY WOMEN'S WEAR, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 36. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY WOMEN'S WEAR, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 37. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY WOMEN'S WEAR, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 38. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY WOMEN'S WEAR, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 39. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY FOOTWEAR, 2018-2024 (USD MILLION)
  • TABLE 40. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY FOOTWEAR, 2025-2032 (USD MILLION)
  • TABLE 41. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY FOOTWEAR, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 42. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY FOOTWEAR, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 43. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY FOOTWEAR, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 44. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY FOOTWEAR, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 45. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY FOOTWEAR, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 46. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY FOOTWEAR, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 47. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY CASUAL, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 48. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY CASUAL, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 49. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY CASUAL, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 50. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY CASUAL, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 51. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY CASUAL, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 52. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY CASUAL, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 53. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY FORMAL, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 54. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY FORMAL, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 55. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY FORMAL, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 56. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY FORMAL, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 57. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY FORMAL, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 58. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY FORMAL, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 59. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY SPORTS, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 60. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY SPORTS, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 61. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY SPORTS, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 62. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY SPORTS, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 63. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY SPORTS, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 64. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY SPORTS, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 65. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY JEWELRY, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 66. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY JEWELRY, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 67. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY JEWELRY, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 68. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY JEWELRY, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 69. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY JEWELRY, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 70. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY JEWELRY, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 71. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY DEPLOYMENT MODE, 2018-2024 (USD MILLION)
  • TABLE 72. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY DEPLOYMENT MODE, 2025-2032 (USD MILLION)
  • TABLE 73. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY CLOUD, 2018-2024 (USD MILLION)
  • TABLE 74. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY CLOUD, 2025-2032 (USD MILLION)
  • TABLE 75. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY CLOUD, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 76. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY CLOUD, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 77. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY CLOUD, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 78. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY CLOUD, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 79. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY CLOUD, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 80. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY CLOUD, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 81. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY PRIVATE CLOUD, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 82. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY PRIVATE CLOUD, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 83. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY PRIVATE CLOUD, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 84. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY PRIVATE CLOUD, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 85. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY PRIVATE CLOUD, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 86. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY PRIVATE CLOUD, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 87. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY PUBLIC CLOUD, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 88. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY PUBLIC CLOUD, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 89. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY PUBLIC CLOUD, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 90. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY PUBLIC CLOUD, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 91. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY PUBLIC CLOUD, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 92. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY PUBLIC CLOUD, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 93. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY ON PREMISE, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 94. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY ON PREMISE, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 95. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY ON PREMISE, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 96. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY ON PREMISE, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 97. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY ON PREMISE, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 98. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY ON PREMISE, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 99. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY APPLICATION, 2018-2024 (USD MILLION)
  • TABLE 100. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY APPLICATION, 2025-2032 (USD MILLION)
  • TABLE 101. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY DEMAND PREDICTION, 2018-2024 (USD MILLION)
  • TABLE 102. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY DEMAND PREDICTION, 2025-2032 (USD MILLION)
  • TABLE 103. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY DEMAND PREDICTION, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 104. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY DEMAND PREDICTION, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 105. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY DEMAND PREDICTION, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 106. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY DEMAND PREDICTION, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 107. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY DEMAND PREDICTION, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 108. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY DEMAND PREDICTION, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 109. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY SEASONAL FORECASTING, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 110. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY SEASONAL FORECASTING, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 111. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY SEASONAL FORECASTING, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 112. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY SEASONAL FORECASTING, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 113. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY SEASONAL FORECASTING, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 114. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY SEASONAL FORECASTING, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 115. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY TREND BASED, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 116. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY TREND BASED, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 117. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY TREND BASED, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 118. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY TREND BASED, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 119. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY TREND BASED, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 120. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY TREND BASED, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 121. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY INVENTORY MANAGEMENT, 2018-2024 (USD MILLION)
  • TABLE 122. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY INVENTORY MANAGEMENT, 2025-2032 (USD MILLION)
  • TABLE 123. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY INVENTORY MANAGEMENT, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 124. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY INVENTORY MANAGEMENT, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 125. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY INVENTORY MANAGEMENT, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 126. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY INVENTORY MANAGEMENT, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 127. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY INVENTORY MANAGEMENT, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 128. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY INVENTORY MANAGEMENT, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 129. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY AUTO REPLENISHMENT, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 130. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY AUTO REPLENISHMENT, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 131. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY AUTO REPLENISHMENT, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 132. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY AUTO REPLENISHMENT, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 133. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY AUTO REPLENISHMENT, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 134. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY AUTO REPLENISHMENT, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 135. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY STOCK MONITORING, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 136. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY STOCK MONITORING, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 137. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY STOCK MONITORING, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 138. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY STOCK MONITORING, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 139. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY STOCK MONITORING, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 140. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY STOCK MONITORING, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 141. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY PERSONALIZATION, 2018-2024 (USD MILLION)
  • TABLE 142. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY PERSONALIZATION, 2025-2032 (USD MILLION)
  • TABLE 143. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY PERSONALIZATION, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 144. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY PERSONALIZATION, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 145. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY PERSONALIZATION, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 146. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY PERSONALIZATION, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 147. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY PERSONALIZATION, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 148. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY PERSONALIZATION, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 149. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY CHATBOT STYLING, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 150. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY CHATBOT STYLING, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 151. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY CHATBOT STYLING, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 152. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY CHATBOT STYLING, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 153. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY CHATBOT STYLING, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 154. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY CHATBOT STYLING, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 155. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY EMAIL RECOMMENDATIONS, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 156. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY EMAIL RECOMMENDATIONS, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 157. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY EMAIL RECOMMENDATIONS, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 158. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY EMAIL RECOMMENDATIONS, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 159. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY EMAIL RECOMMENDATIONS, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 160. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY EMAIL RECOMMENDATIONS, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 161. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY WEBSITE PERSONALIZATION, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 162. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY WEBSITE PERSONALIZATION, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 163. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY WEBSITE PERSONALIZATION, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 164. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY WEBSITE PERSONALIZATION, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 165. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY WEBSITE PERSONALIZATION, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 166. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY WEBSITE PERSONALIZATION, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 167. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY SUPPLY CHAIN OPTIMIZATION, 2018-2024 (USD MILLION)
  • TABLE 168. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY SUPPLY CHAIN OPTIMIZATION, 2025-2032 (USD MILLION)
  • TABLE 169. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY SUPPLY CHAIN OPTIMIZATION, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 170. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY SUPPLY CHAIN OPTIMIZATION, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 171. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY SUPPLY CHAIN OPTIMIZATION, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 172. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY SUPPLY CHAIN OPTIMIZATION, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 173. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY SUPPLY CHAIN OPTIMIZATION, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 174. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY SUPPLY CHAIN OPTIMIZATION, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 175. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY DEMAND PLANNING, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 176. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY DEMAND PLANNING, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 177. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY DEMAND PLANNING, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 178. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY DEMAND PLANNING, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 179. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY DEMAND PLANNING, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 180. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY DEMAND PLANNING, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 181. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY LOGISTICS OPTIMIZATION, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 182. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY LOGISTICS OPTIMIZATION, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 183. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY LOGISTICS OPTIMIZATION, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 184. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY LOGISTICS OPTIMIZATION, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 185. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY LOGISTICS OPTIMIZATION, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 186. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY LOGISTICS OPTIMIZATION, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 187. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY TREND FORECASTING, 2018-2024 (USD MILLION)
  • TABLE 188. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY TREND FORECASTING, 2025-2032 (USD MILLION)
  • TABLE 189. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY TREND FORECASTING, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 190. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY TREND FORECASTING, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 191. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY TREND FORECASTING, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 192. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY TREND FORECASTING, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 193. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY TREND FORECASTING, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 194. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY TREND FORECASTING, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 195. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY LONG TERM, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 196. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY LONG TERM, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 197. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY LONG TERM, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 198. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY LONG TERM, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 199. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY LONG TERM, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 200. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY LONG TERM, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 201. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY SHORT TERM, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 202. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY SHORT TERM, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 203. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY SHORT TERM, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 204. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY SHORT TERM, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 205. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY SHORT TERM, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 206. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY SHORT TERM, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 207. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY VIRTUAL TRY-ON, 2018-2024 (USD MILLION)
  • TABLE 208. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY VIRTUAL TRY-ON, 2025-2032 (USD MILLION)
  • TABLE 209. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY VIRTUAL TRY-ON, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 210. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY VIRTUAL TRY-ON, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 211. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY VIRTUAL TRY-ON, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 212. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY VIRTUAL TRY-ON, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 213. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY VIRTUAL TRY-ON, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 214. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY VIRTUAL TRY-ON, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 215. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY AUGMENTED REALITY, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 216. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY AUGMENTED REALITY, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 217. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY AUGMENTED REALITY, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 218. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY AUGMENTED REALITY, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 219. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY AUGMENTED REALITY, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 220. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY AUGMENTED REALITY, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 221. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY VIRTUAL REALITY, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 222. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY VIRTUAL REALITY, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 223. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY VIRTUAL REALITY, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 224. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY VIRTUAL REALITY, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 225. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY VIRTUAL REALITY, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 226. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY VIRTUAL REALITY, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 227. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY END USER, 2018-2024 (USD MILLION)
  • TABLE 228. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY END USER, 2025-2032 (USD MILLION)
  • TABLE 229. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY E-COMMERCE PLATFORMS, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 230. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY E-COMMERCE PLATFORMS, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 231. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY E-COMMERCE PLATFORMS, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 232. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY E-COMMERCE PLATFORMS, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 233. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY E-COMMERCE PLATFORMS, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 234. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY E-COMMERCE PLATFORMS, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 235. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY LUXURY BRANDS, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 236. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY LUXURY BRANDS, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 237. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY LUXURY BRANDS, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 238. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY LUXURY BRANDS, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 239. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY LUXURY BRANDS, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 240. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY LUXURY BRANDS, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 241. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY MASS MARKET RETAILERS, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 242. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY MASS MARKET RETAILERS, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 243. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY MASS MARKET RETAILERS, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 244. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY MASS MARKET RETAILERS, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 245. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY MASS MARKET RETAILERS, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 246. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY MASS MARKET RETAILERS, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 247. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 248. GLOBAL ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 249. AMERICAS ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY SUBREGION, 2018-2024 (USD MILLION)
  • TABLE 250. AMERICAS ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY SUBREGION, 2025-2032 (USD MILLION)
  • TABLE 251. AMERICAS ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY PRODUCT TYPE, 2018-2024 (USD MILLION)
  • TABLE 252. AMERICAS ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY PRODUCT TYPE, 2025-2032 (USD MILLION)
  • TABLE 253. AMERICAS ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY APPAREL, 2018-2024 (USD MILLION)
  • TABLE 254. AMERICAS ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY APPAREL, 2025-2032 (USD MILLION)
  • TABLE 255. AMERICAS ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY FOOTWEAR, 2018-2024 (USD MILLION)
  • TABLE 256. AMERICAS ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY FOOTWEAR, 2025-2032 (USD MILLION)
  • TABLE 257. AMERICAS ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY DEPLOYMENT MODE, 2018-2024 (USD MILLION)
  • TABLE 258. AMERICAS ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY DEPLOYMENT MODE, 2025-2032 (USD MILLION)
  • TABLE 259. AMERICAS ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY CLOUD, 2018-2024 (USD MILLION)
  • TABLE 260. AMERICAS ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY CLOUD, 2025-2032 (USD MILLION)
  • TABLE 261. AMERICAS ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY APPLICATION, 2018-2024 (USD MILLION)
  • TABLE 262. AMERICAS ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY APPLICATION, 2025-2032 (USD MILLION)
  • TABLE 263. AMERICAS ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY DEMAND PREDICTION, 2018-2024 (USD MILLION)
  • TABLE 264. AMERICAS ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY DEMAND PREDICTION, 2025-2032 (USD MILLION)
  • TABLE 265. AMERICAS ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY INVENTORY MANAGEMENT, 2018-2024 (USD MILLION)
  • TABLE 266. AMERICAS ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY INVENTORY MANAGEMENT, 2025-2032 (USD MILLION)
  • TABLE 267. AMERICAS ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY PERSONALIZATION, 2018-2024 (USD MILLION)
  • TABLE 268. AMERICAS ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY PERSONALIZATION, 2025-2032 (USD MILLION)
  • TABLE 269. AMERICAS ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY SUPPLY CHAIN OPTIMIZATION, 2018-2024 (USD MILLION)
  • TABLE 270. AMERICAS ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY SUPPLY CHAIN OPTIMIZATION, 2025-2032 (USD MILLION)
  • TABLE 271. AMERICAS ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY TREND FORECASTING, 2018-2024 (USD MILLION)
  • TABLE 272. AMERICAS ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY TREND FORECASTING, 2025-2032 (USD MILLION)
  • TABLE 273. AMERICAS ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY VIRTUAL TRY-ON, 2018-2024 (USD MILLION)
  • TABLE 274. AMERICAS ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY VIRTUAL TRY-ON, 2025-2032 (USD MILLION)
  • TABLE 275. AMERICAS ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY END USER, 2018-2024 (USD MILLION)
  • TABLE 276. AMERICAS ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY END USER, 2025-2032 (USD MILLION)
  • TABLE 277. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 278. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 279. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY PRODUCT TYPE, 2018-2024 (USD MILLION)
  • TABLE 280. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY PRODUCT TYPE, 2025-2032 (USD MILLION)
  • TABLE 281. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY APPAREL, 2018-2024 (USD MIL