时尚市场中的人工智能基于(关键地区、市场参与者、规模和份额)- 到 2031 年的预测

  • Report Code : TIPRE00007131
  • Category : Technology, Media and Telecommunications
  • Status : Published
  • No. of Pages : 214
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2018 年时尚市场中的人工智能预计将达到 2.7 亿美元,并预计在 2019 年预测期内以 36.9% 的复合年增长率增长 –到 2027 年,这一数字将达到 43.917 亿美元。

来自不同数据源的大量数据的可用性是推动整个时尚行业人工智能技术发展的关键因素之一。互联网、智能设备的普及、技术的进步等是数据生成呈指数级增长的一些主要原因。用于定位产品和收集信息的 RFID 和蓝牙应用在时尚行业也呈指数级增长。此外,Amazon Alexa 和 Apple Siri 等支持语音的聊天机器人每秒都在不断生成大量数据。通过使用这些对话式解决方案,时尚品牌通过询问客户的需求、趋势并深入了解购买模式来收集数据。

数字化的这种演变为时尚企业提供了利用巨大数量的巨大机会用户/进程数据以获得有用的见解。时尚企业拥抱数字化的范式转变为企业带来了更大的利益,并带来了更多的创收机会。此外,随着计算和存储技术的进步,计算能力在过去十年中增加了数倍。这为管理和计算大数据创造了新的机会,与人工智能技术相结合,可以获得有用的业务和客户洞察。借助机器学习和深度学习等人工智能应用,时尚公司有巨大的机会利用可用数据获得有用的见解,从而增加收入。

战略见解

利润丰厚的地区时尚市场中的人工智能


市场洞察

将自然语言编程 (NLP) 引入时尚行业,为时尚供应商的人工智能带来巨大机遇

NLP 提供高效的人类体验并打造高度互动的聊天机器人。供应商有巨大的机会通过在其解决方案中实施 NLP 来改善他们的服务。在时尚行业,NLP有能力为时尚服饰网站提供很大的帮助,过滤掉大部分客户的问题,并发送给不同的客户来澄清问题。

业务正在努力更好地理解和实施 NLP。 NLP 能够处理大量系统,这些系统协同工作以处理机器和人类之间的端到端交互。该技术使用户能够更自然地进行交互。企业正在投入巨资为时尚行业开发 NLP 支持的解决方案。例如,德国时尚公司 Zalando SE 基于 PyTorch 和 Python 在其网站上实施了 NLP 模型。

提供市场洞察

时尚市场中的人工智能通过提供细分为解决方案和服务。在人工智能、物联网、区块链、AR/VR和3D打印等新兴技术中,人工智能一直处于颠覆各行业的最前沿。也许时尚与技术相结合的最引人注目的方式之一就是能够将多种数据转化为丰富、引人入胜的信息。认知计算和人工智能正在提高零售商的敏捷性。一些领先的 IT 公司和时尚零售商正在进行大量投资。例如,甲骨文公司在其软件 Oracle Retail 下投入了大量资源和时间来不断推进其零售科学产品组合。这使零售商能够更好地预防客户偏好的快速变化,从而使他们能够在零售商及其消费者越来越多的组合中简化最优价格和促销。

时装市场中的人工智能(按部署模型) ; 2018 年和 2027 年


部署市场洞察

时尚市场中的人工智能按部署类型分为本地部署和云部署。计划对人工智能进行大量投资的公司和时尚品牌预计将通过采用本地或基于云的解决方案迅速转向现代平台。时尚行业采用本地或基于云的人工智能解决方案也很大程度上受到时尚公司或品牌转向提供先进的基于人工智能的解决方案的新供应商的意愿的影响。除了大型企业外,全球各地的中小企业也在采用基于人工智能的解决方案。当前,全球时尚市场人工智能正在经历从传统的本地部署到基于云的部署的范式转变。这一趋势主要是由新型纯云解决方案的出现推动的,这些解决方案有助于通过快速设置最大限度地降低集成复杂性和安装成本。据观察,过去 15 年以来,全球市场上的软件提供商不仅是基于云的,而且还有一些本地提供商,正在为时尚行业提供某种形式的云部署人工智能软件。时尚行业越来越多有吸引力的基于云的解决方案也是当前市场情况下普遍存在的收入刺激因素。此外,时尚品牌/零售商和科技公司之间的合作伙伴关系正在推动基于云的服务市场的发展。

应用市场洞察

时尚行业正在实施人工智能来获得竞争力。各种规模和专业的品牌都在利用技术更好地了解客户。时尚行业中的多个社交媒体互动、移动平台和电子商务交易产生了大量数据,这为从业者和研究人员提供了分析和开发能够理解消费者行为并定制在线平台的系统的机会通过有效利用人工智能来提供服务。

由于算法开发中创新和处理能力的增强,当今的计算机系统能够仅执行曾经由人类执行的任务。收集的数据的多样性和数量有所增加,这有助于在人工智能的帮助下更好地学习和做出更明智的决策。

时尚领域的全球人工智能:

时尚领域的人工智能时装市场 –按产品分类

  • 解决方案
  • 服务

时尚市场中的人工智能 -通过部署

  • 本地部署
  • 基于云

时尚市场中的人工智能 -按应用划分

  • 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
  • 其他

时尚市场中的人工智能 -按最终用户行业

  • 服装
  • 配饰
  • 化妆品
  • 其他

时尚市场中的人工智能——按地理位置

  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥
  • < li>欧洲
    • 法国
    • 德国
    • 意大利
    • 西班牙
    • 英国
    • 其他欧洲
  • 亚太地区 (APAC)
    • 澳大利亚
    • 中国
    • 印度
    • 日本
    • 亚太地区其他地区
  • 中东和中东地区非洲 (MEA)
    • 沙特阿拉伯
    • 阿联酋
    • 南非
    • 中东和非洲其他地区
  • 南美洲 (SAM)
    • 巴西
    • SAM 的其他地区

公司

  • Adobe Inc.
  • Alphabet Inc.(Google)
  • Amazon.com, Inc.
  • Catchoom
  • Facebook Inc.
  • 华为技术有限公司
  • IBM公司
  • 微软公司
  • 甲骨文公司
  • SAP SE
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.

The List of Companies - Artificial Intelligence In Fashion Market

  1. Adobe Inc.
  2. Amazon Web Services, Inc.
  3. Catchoom Technologies S.L.
  4. Facebook, Inc.
  5. Google LLC
  6. Huawei Technologies Co., Ltd.
  7. IBM Corporation
  8. Microsoft Corporation
  9. Oracle Corporation
  10. SAP SE

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.

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