时尚市场中的人工智能(主要区域、市场参与者、规模和份额)- 预测至 2031 年

  • Report Code : TIPRE00007131
  • Category : Technology, Media and Telecommunications
  • No. of Pages : 150
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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。

 

人工智能在时尚市场分析中的应用

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,对时尚可持续性的需求不断增长以及快时尚零售的增长为市场增长提供了有利可图的机会。   

 

人工智能在时尚市场的概述

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。

人工智能推荐系统可根据个人兴趣提供个性化产品建议,从而改善客户购买体验。人工智能支持时尚品牌评估浏览历史、购买行为和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:

Artificial Intelligence In Fashion Market
  • 获取此报告的关键市场趋势。
    这个免费样品将包括数据分析,从市场趋势到估计和预测。

 

人工智能在时尚市场的驱动因素和机遇

 

产品设计和开发对人工智能的需求不断增长,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。该行业将人工智能工具彻底融入到创意流程中,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,而最大限度地提高材料效率正在推动市场的发展。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。该技术还可以帮助设计师在保持设计完整性的同时实现成本节约和环境可持续性目标。预计这些因素将在预测期内推动市场发展。

 

时尚可持续性需求不断增长——时尚市场人工智能带来的机遇

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

有助于时尚市场分析人工智能的关键部分是产品、部署、应用和最终用户行业。

  • 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。
  • 根据部署方式,市场分为本地部署和基于云的部署。2023 年,基于云的部署将占据更大的市场份额。
  • 根据应用,时尚市场的人工智能分为产品推荐、虚拟助手、产品搜索和发现、创意设计和趋势预测、客户关系管理等。产品推荐部分在 2023 年占据了更大的市场份额。
  • 从终端用户行业来看,时尚市场的人工智能分为服装、配饰、化妆品等。2023 年,服装行业占据了更大的市场份额。

 

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。

 

 

人工智能在时尚市场的区域洞察

Insight Partners 的分析师已详细解释了预测期内影响时尚人工智能市场的区域趋势和因素。本节还讨论了北美、欧洲、亚太地区、中东和非洲以及南美和中美洲的时尚人工智能市场细分和地理位置。

Artificial Intelligence In Fashion Market
  • 获取时尚市场人工智能的区域特定数据

时尚市场人工智能报告范围

报告属性细节
2023 年的市场规模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%
史料2021-2022
预测期2024-2031
涵盖的领域按奉献
  • 解决方案和服务
按部署
  • 本地和云端
按应用
  • 产品推荐
  • 虚拟助手
  • 产品搜索和发现
  • 创意设计与趋势预测
  • 客户关系管理
按最终用户行业
  • 服饰
  • 配件
  • 化妆品
覆盖地区和国家北美
  • 我们
  • 加拿大
  • 墨西哥
欧洲
  • 英国
  • 德国
  • 法国
  • 俄罗斯
  • 意大利
  • 欧洲其他地区
亚太
  • 中国
  • 印度
  • 日本
  • 澳大利亚
  • 亚太其他地区
南美洲和中美洲
  • 巴西
  • 阿根廷
  • 南美洲和中美洲其他地区
中东和非洲
  • 南非
  • 沙特阿拉伯
  • 阿联酋
  • 中东和非洲其他地区
市场领导者和主要公司简介
  • Adobe 公司
  • Alphabet Inc.(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
  • 思爱普
  • 广眼科技
  • 赫里泰克

 

时尚市场参与者密度中的人工智能:了解其对商业动态的影响

人工智能在时尚市场的发展十分迅速,这得益于终端用户需求的不断增长,而这些需求又源于消费者偏好的不断变化、技术进步以及对产品优势的认识不断提高等因素。随着需求的增加,企业正在扩大其产品范围,进行创新以满足消费者的需求,并利用新兴趋势,从而进一步推动市场增长。

市场参与者密度是指在特定市场或行业内运营的企业或公司的分布情况。它表明在给定市场空间中,相对于其规模或总市场价值,有多少竞争对手(市场参与者)存在。

在时尚人工智能市场运营的主要公司有:

  1. Adobe 公司
  2. Alphabet Inc.(谷歌)
  3. 亚马逊公司(Amazon.com, Inc.)
  4. 华为技术有限公司
  5. IBM 公司
  6. 微软公司

免责声明上面列出的公司没有按照任何特定顺序排列。


Artificial Intelligence In Fashion Market

 

  • 了解时尚市场人工智能顶级关键参与者概况

 

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一手和二手研究后的定性和定量数据来评估的,其中包括重要的公司出版物、协会数据和数据库。以下是时尚人工智能市场的发展和战略列表:

  • 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)

 

时尚市场人工智能报告覆盖范围和交付成果

“时尚人工智能市场规模和预测(2021-2031)”报告对以下领域进行了详细的市场分析:

  • 范围内所有主要细分市场的全球、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
  • 未来的主要趋势
  • 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关键市场趋势、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
  • Historical Analysis (2 Years), Base Year, Forecast (7 Years) with CAGR
  • PEST and SWOT Analysis
  • Market Size Value / Volume - Global, Regional, Country
  • Industry and Competitive Landscape
  • Excel Dataset
Report Coverage
Report Coverage

Revenue forecast, Company Analysis, Industry landscape, Growth factors, and Trends

Segment Covered
Segment Covered

This text is related
to segments covered.

Regional Scope
Regional Scope

North America, Europe, Asia Pacific, Middle East & Africa, South & Central America

Country Scope
Country Scope

This text is related
to country scope.

Frequently Asked Questions


What is the incremental growth of the global artificial intelligence in fashion market during the forecast period?

The incremental growth expected to be recorded for the global artificial intelligence in fashion market during the forecast period is US$ 16.32 billion.

What will be the market size of the global artificial intelligence in fashion market by 2031?

The global artificial intelligence in fashion market is expected to reach US$ 17.41 billion by 2031.

Which are the key players holding the major market share of the global artificial intelligence in fashion market?

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.

What are the future trends of the global artificial intelligence in fashion market?

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.

What are the driving factors impacting the global artificial intelligence in fashion market?

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.

What is the estimated market size for the global artificial intelligence in fashion market in 2023?

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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The Insight Partners performs research in 4 major stages: Data Collection & Secondary Research, Primary Research, Data Analysis and Data Triangulation & Final Review.

  1. Data Collection and Secondary Research:

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.

Several associations trade associates, technical forums, institutes, societies and organization are accessed to gain technical as well as market related insights through their publications such as research papers, blogs and press releases related to the studies are referred to get cues about the market. Further, white papers, journals, magazines, and other news articles published in last 3 years are scrutinized and analyzed to understand the current market trends.

  1. Primary Research:

The primarily interview analysis comprise of data obtained from industry participants interview and answers to survey questions gathered by in-house primary team.

For primary research, interviews are conducted with industry experts/CEOs/Marketing Managers/VPs/Subject Matter Experts from both demand and supply side to get a 360-degree view of the market. The primary team conducts several interviews based on the complexity of the markets to understand the various market trends and dynamics which makes research more credible and precise.

A typical research interview fulfils the following functions:

  • Provides first-hand information on the market size, market trends, growth trends, competitive landscape, and outlook
  • Validates and strengthens in-house secondary research findings
  • Develops the analysis team’s expertise and market understanding

Primary research involves email interactions and telephone interviews for each market, category, segment, and sub-segment across geographies. The participants who typically take part in such a process include, but are not limited to:

  • Industry participants: VPs, business development managers, market intelligence managers and national sales managers
  • Outside experts: Valuation experts, research analysts and key opinion leaders specializing in the electronics and semiconductor industry.

Below is the breakup of our primary respondents by company, designation, and region:

Research Methodology

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.

  1. 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.

  • Macro-Economic Factor Analysis:

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.

  • Country Level Data:

Various factors that are especially aligned to the country are taken into account to determine the market size for a certain area and country, including the presence of vendors, such as headquarters and offices, the country's GDP, demand patterns, and industry growth. To comprehend the market dynamics for the nation, a number of growth variables, inhibitors, application areas, and current market trends are researched. The aforementioned elements aid in determining the country's overall market's growth potential.

  • 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:

Aggregation of sales statistics (2020-2022) and macro-economic factor, and other secondary and primary research insights are utilized to arrive at base number and related market shares for 2022. The data gaps are identified in this step and relevant market data is analyzed, collected from paid primary interviews or databases. On finalizing the base year market size, forecasts are developed on the basis of macro-economic, industry and market growth factors and company level analysis.

  1. Data Triangulation and Final Review:

The market findings and base year market size calculations are validated from supply as well as demand side. Demand side validations are based on macro-economic factor analysis and benchmarks for respective regions and countries. In case of supply side validations, revenues of major companies are estimated (in case not available) based on industry benchmark, approximate number of employees, product portfolio, and primary interviews revenues are gathered. Further revenue from target product/service segment is assessed to avoid overshooting of market statistics. In case of heavy deviations between supply and demand side values, all thes steps are repeated to achieve synchronization.

We follow an iterative model, wherein we share our research findings with Subject Matter Experts (SME’s) and Key Opinion Leaders (KOLs) until consensus view of the market is not formulated – this model negates any drastic deviation in the opinions of experts. Only validated and universally acceptable research findings are quoted in our reports.

We have important check points that we use to validate our research findings – which we call – data triangulation, where we validate the information, we generate from secondary sources with primary interviews and then we re-validate with our internal data bases and Subject matter experts. This comprehensive model enables us to deliver high quality, reliable data in shortest possible time.