Artificial Intelligence In Fashion Market Scope 2031
预计到 2031 年,时尚人工智能市场规模将从 2023 年的 10.9 亿美元增至 174.1 亿美元。预计 2023-2031 年市场复合年增长率将达到 41.4%。时尚品牌越来越多地采用人工智能技术来分析消费者购买行为,这可能仍是时尚市场人工智能发展趋势的关键。
时尚市场分析中的人工智能
由于产品设计和开发对人工智能的需求不断增加,以及客户对个性化体验的需求不断增加,时尚市场的人工智能正在快速增长。受库存管理对人工智能需求不断增长的推动,市场正在稳步扩张。此外,对时尚可持续性的不断增长的需求和快时尚零售的增长为市场增长提供了有利可图的机会。
时尚市场中的人工智能概述
人工智能正在改变时尚行业,它改善了产品生命周期的许多方面,重新定义了服装的生产、销售和穿着方式。这项尖端技术为设计师、零售商和消费者提供了变革性的能力。时装设计师利用人工智能最大限度地发挥他们的创造潜力,推动设计创新。设计师可以使用人工智能算法检查大量历史时尚数据并识别时尚行业的潜在趋势,从而产生新的创新想法。
人工智能驱动的推荐系统通过根据个人兴趣提供个性化的产品建议来改善客户的购买体验。人工智能支持时尚品牌评估浏览历史、购买行为、风格偏好等用户数据,并根据消费者的品味和兴趣创建个性化建议。这种定制可以提高客户参与度、建立品牌忠诚度并提高销售转化率。
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时尚市场中的人工智能:
年均复合增长率(2023 - 2031)41.4%- 2023 年市场规模
10.9 亿美元 - 2031 年市场规模
174.1 亿美元
市场动态
- 产品设计和开发对人工智能的需求不断增加
- 时尚品牌越来越多地采用人工智能技术来分析消费者购买行为
- 对时尚可持续性的需求日益增长
关键人物;主力;重要一员
- Adobe 公司
- 字母表公司(谷歌)
- 亚马逊公司(Amazon.com, Inc.)
- 华为技术有限公司
- IBM公司
- 微软公司
- 甲骨文公司
- SAP系统公司
- 大眼科技
- 赫里泰克
区域概况
- 北美
- 欧洲
- 亚太
- 南美洲和中美洲
- 中东和非洲
市场细分
- 解决方案和服务
- 本地和基于云的
- 产品推荐
- 虚拟助理
- 产品搜索和发现
- 创意设计与趋势预测
- 客户关系管理
- 其他的
- 服饰
- 配件
- 化妆品
- 其他的
- 示例 PDF 通过定性和定量分析展示了内容结构和信息的性质。
人工智能在时尚市场的驱动力和机遇
产品设计和开发中对人工智能的需求不断增长正在推动市场发展
人工智能在时尚行业的产品设计和开发中发挥着重要作用。该行业将人工智能驱动的工具彻底集成到创意流程中,以简化和改进许多设计方面,提高效率并鼓励整个产品生命周期的创新。人工智能在产品设计中被广泛用于模式优化,并且最大限度地提高材料效率正在推动市场发展。人工智能算法检查设计标准和材料质量,以开发最佳模式,减少浪费,同时最大限度地提高资源利用率。该技术还帮助设计人员实现成本节约和环境可持续性目标,同时保持设计完整性。预计这些因素将在预测期内推动市场发展。
对时尚可持续发展的需求不断增长——时尚市场人工智能的机遇
时尚行业越来越关注可持续方法和道德材料采购。人工智能在促进产品可持续材料的选择方面发挥着重要作用,为时尚公司提供重要的见解和帮助。人工智能算法在评估材料的可持续性时有助于检查许多要素。这些要素包括道德采购程序、成本效益考虑和环境影响研究。通过评估大型数据集和复杂因素,人工智能使时尚公司能够对其产品中使用的材料做出明智的决策,并平衡可持续发展愿望与业务目标。
此外,消费者意识的提高和对环境问题的关注也推动了人工智能算法的采用,以满足对可持续时尚日益增长的需求。消费者对服装对环境影响的担忧日益增加,这促使时尚品牌在其整个制造和供应链中实施可持续做法。这些因素为市场创造了巨大的增长机会。
时尚市场人工智能报告细分分析
促成时尚市场分析中人工智能的关键部分是产品、部署、应用程序和最终用户行业。
- 根据产品,时尚市场中的人工智能分为解决方案和服务。解决方案部分在 2023 年占据了更大的市场份额。
- 根据部署的不同,市场分为本地部署和基于云的市场。 2023 年,基于云的细分市场将占据更大的市场份额。
- 从应用来看,时尚市场人工智能分为产品推荐、虚拟助理、产品搜索和发现、创意设计和趋势预测、客户关系管理等。 2023年,产品推荐细分市场占有更大的市场份额。
- 从终端行业来看,时尚市场的人工智能分为服装、配饰、化妆品等。 2023年,服装细分市场占据更大的市场份额。
人工智能在时尚市场的地域份额分析
时尚市场人工智能报告的地理范围主要分为五个地区:北美、亚太、欧洲、中东和非洲、南美/南美和中美。
就收入而言,由于时尚行业越来越多地采用人工智能技术,北美市场占据了时尚人工智能市场份额的最大份额。技术改进和人工智能在时尚应用中的早期使用正在推动市场的发展。同样,美国和加拿大等国家的新兴时尚趋势也对人工智能技术的需求激增,以提高生产力、优化销售和可持续发展。此外,时尚行业的动态性质和消费者需求的不断变化也增加了对人工智能的需求,以推动创新和竞争。
时尚市场人工智能报告范围
报告属性 | 细节 |
---|---|
2023年市场规模 | 10.9亿美元 |
2031 年市场规模 | 174.1亿美元 |
全球复合年增长率(2023 - 2031) | 41.4% |
历史数据 | 2021-2022 |
预测期 | 2024-2031 |
涵盖的领域 | 按产品分类
|
覆盖地区和国家 | 北美
|
市场领导者和主要公司简介 |
|
- 示例 PDF 通过定性和定量分析展示了内容结构和信息的性质。
时尚市场中的人工智能新闻和最新发展
时尚市场中的人工智能是通过收集初级和二级研究后的定性和定量数据来评估的,其中包括重要的企业出版物、协会数据和数据库。以下是人工智能在时尚领域的市场发展和策略列表:
- 2023 年 3 月,LS&Co. 宣布与数字时尚工作室 Lalaland.ai 建立合作伙伴关系,该工作室专门构建定制的 AI 生成模型。两家公司都计划测试和使用 AI 生成的模型来补充人类模型,以可持续的方式增加产品模型的数量和多样性。(来源:LS&Co.,新闻稿,2023 年)
时尚市场中的人工智能报告范围和成果
《时尚人工智能市场规模及预测(2021-2031)》报告对涵盖以下领域的市场进行了详细分析:
- 范围内涵盖的所有关键细分市场的全球、区域和国家层面的市场规模和预测
- 市场动态,如驱动因素、限制因素和关键机遇
- 未来主要趋势
- 详细的 PEST/波特五力分析和 SWOT 分析
- 全球和区域市场分析,涵盖主要市场趋势、主要参与者、法规和最新市场发展
- 行业格局和竞争分析,涵盖市场集中度、热点图分析、知名参与者和最新发展
- 详细的公司简介
Report Coverage
Revenue forecast, Company Analysis, Industry landscape, Growth factors, and Trends
Segment Covered
This text is related
to segments covered.
Regional Scope
North America, Europe, Asia Pacific, Middle East & Africa, South & Central America
Country Scope
This text is related
to country scope.
Frequently Asked Questions
The incremental growth expected to be recorded for the global artificial intelligence in fashion market during the forecast period is US$ 16.32 billion.
The global artificial intelligence in fashion market is expected to reach US$ 17.41 billion by 2031.
The key players holding majority shares in the global artificial intelligence in fashion market are Adobe Inc., Alphabet Inc. (Google), Amazon.com, Inc., Huawei Technologies Co., Ltd., and IBM Corporation.
The growing adoption of AI technology among fashion brands for analyzing consumer buying behavior to play a significant role in the global artificial intelligence in the fashion market in the coming years.
The increasing demand for AI in product design and development and the high customer demand for a personalized experience are the major factors that propel the global artificial intelligence in fashion market.
The global artificial intelligence in fashion market was estimated to be US$ 1.09 billion in 2023 and is expected to grow at a CAGR of 41.4% during the forecast period 2023 - 2031.s
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As a market research and consulting firm operating from a decade, we have published and advised several client across the globe. First step for any study will start with an assessment of currently available data and insights from existing reports. Further, historical and current market information is collected from Investor Presentations, Annual Reports, SEC Filings, etc., and other information related to company’s performance and market positioning are gathered from Paid Databases (Factiva, Hoovers, and Reuters) and various other publications available in public domain.
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Below is the breakup of our primary respondents by company, designation, and region:
Once we receive the confirmation from primary research sources or primary respondents, we finalize the base year market estimation and forecast the data as per the macroeconomic and microeconomic factors assessed during data collection.
- Data Analysis:
Once data is validated through both secondary as well as primary respondents, we finalize the market estimations by hypothesis formulation and factor analysis at regional and country level.
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We analyse macroeconomic indicators such the gross domestic product (GDP), increase in the demand for goods and services across industries, technological advancement, regional economic growth, governmental policies, the influence of COVID-19, PEST analysis, and other aspects. This analysis aids in setting benchmarks for various nations/regions and approximating market splits. Additionally, the general trend of the aforementioned components aid in determining the market's development possibilities.
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- Company Profile:
The “Table of Contents” is formulated by listing and analyzing more than 25 - 30 companies operating in the market ecosystem across geographies. However, we profile only 10 companies as a standard practice in our syndicate reports. These 10 companies comprise leading, emerging, and regional players. Nonetheless, our analysis is not restricted to the 10 listed companies, we also analyze other companies present in the market to develop a holistic view and understand the prevailing trends. The “Company Profiles” section in the report covers key facts, business description, products & services, financial information, SWOT analysis, and key developments. The financial information presented is extracted from the annual reports and official documents of the publicly listed companies. Upon collecting the information for the sections of respective companies, we verify them via various primary sources and then compile the data in respective company profiles. The company level information helps us in deriving the base number as well as in forecasting the market size.
- Developing Base Number:
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- Data Triangulation and Final Review:
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