全球时尚人工智能市场，按组件（解决方案、服务）、部署模式（云、本地）、应用（产品推荐、产品搜索与发现、创意设计与趋势预测、供应链管理与需求计划、客户关系管理、虚拟助理、其他）、类别（服装、鞋类、美容与化妆品、配饰、手表、珠宝、其他）、最终用户（时装店、时装设计师）、国家（美国、加拿大、墨西哥、巴西、阿根廷、南美洲其他地区、德国、意大利、英国、法国、西班牙、荷兰、比利时、瑞士、土耳其、俄罗斯、欧洲其他地区、日本、中国、印度、韩国、澳大利亚、新加坡、马来西亚、泰国、印度尼西亚、菲律宾、亚太其他地区、沙特阿拉伯、阿联酋、南非、埃及、以色列、中东和非洲其他地区）行业趋势和预测到 2028 年
市场分析与洞察：时尚市场的全球人工智能
预计到 2028 年，时尚市场的人工智能将达到 31.4 亿美元，在 2021 年至 2028 年的预测期内，市场增长率为 38.85%。Data Bridge 市场研究关于时尚市场人工智能的报告提供了有关零售业增长等因素的分析和见解，这些因素有助于人工智能的采用。
个性化体验需求不断增长、库存管理工具需求不断增长、社交媒体趋势和影响力不断上升、先进材料采购、运营自动化、产品发现等优势不断增加导致需求不断增长，这些都将有助于加速 2021-2028 年预测期内时尚市场 AI 的增长。另一方面，对不断变化的客户行为和未来趋势的分析将进一步创造各种机会，从而推动上述预测期内时尚市场 AI 的增长。
在上述预测期内，缺乏认识以及与遗留系统的集成成为时尚行业人工智能的市场限制因素。
这份时尚市场人工智能报告详细介绍了最新发展、贸易法规、进出口分析、生产分析、价值链优化、市场份额、国内和本地市场参与者的影响，分析了新兴收入来源、市场法规变化、战略市场增长分析、市场规模、类别市场增长、应用领域和主导地位、产品批准、产品发布、地域扩展、市场技术创新等方面的机会。如需了解有关时尚市场人工智能的更多信息，请联系 Data Bridge Market Research 获取分析师简报，我们的团队将帮助您做出明智的市场决策，实现市场增长。
全球时尚人工智能市场范围和市场规模
AI in fashion market is segmented on the basis of component, deployment mode, application, category and end user. The growth among segments helps you analyse niche pockets of growth and strategies to approach the market and determine your core application areas and the difference in your target markets.
- AI in fashion market on the basis of component has been segmented as solutions, and services. Solution has been further segmented into software tools, and platforms. Services have been bifurcated into training and consulting, system integration and testing, and support and maintenance.
- Based on category, AI in fashion market has been segmented into apparel, footwear, beauty & cosmetics, accessories, watches, jewellery, and others. Others have been further segmented into eyewear, home décor.
- On the basis of deployment mode, AI in fashion market has been segmented into cloud and on-premise.
- On the basis of application, AI in fashion market has been segmented into product recommendation, product search & discovery, creative designing & trend forecasting, supply chain management & demand planning, customer relationship management, virtual assistant, and others. Others have been further segmented into fraud detection, fabric waste reduction, and price optimization.
- AI in fashion market has also been segmented on the basis of end user into fashion stores, and fashion designers.
AI in Fashion Market Country Level Analysis
AI in fashion market is analysed and market size, volume information is provided by country, component, deployment mode, application, category and end user as referenced above.
The countries covered in the AI in fashion market report are U.S., Canada and Mexico in North America, Brazil, Argentina and Rest of South America as part of South America, Germany, Italy, U.K., France, Spain, Netherlands, Belgium, Switzerland, Turkey, Russia, Rest of Europe in Europe, Japan, China, India, South Korea, Australia, Singapore, Malaysia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific (APAC) in the Asia-Pacific (APAC), Saudi Arabia, U.A.E, South Africa, Egypt, Israel, Rest of Middle East and Africa (MEA) as a part of Middle East and Africa (MEA).
North America will dominate the AI in fashion market due to the adoption of advanced technologies while Asia-Pacific will expect to grow in the forecast period of 2021-2028 due to adoption of social media along with rising initiatives from the government for the development of artificial intelligence.
时尚人工智能市场报告的国家部分还提供了影响单个市场因素和国内市场监管变化，这些因素和变化影响了市场的当前和未来趋势。下游和上游价值链分析、技术趋势和波特五力分析、案例研究等数据点是用于预测各个国家市场情景的一些指标。此外，在提供国家数据的预测分析时，还考虑了全球品牌的存在和可用性以及它们因来自本地和国内品牌的大量或稀缺竞争而面临的挑战、国内关税和贸易路线的影响。
时尚市场份额分析中的竞争格局和人工智能
时尚市场竞争格局中的人工智能按竞争对手提供详细信息。详细信息包括公司概况、公司财务状况、产生的收入、市场潜力、研发投资、新市场计划、区域存在、公司优势和劣势、产品发布、产品宽度和广度、应用主导地位。以上提供的数据点仅与公司对时尚市场人工智能的关注有关。
时尚人工智能市场报告中涉及的主要参与者包括微软、IBM Corporation、谷歌、亚马逊公司、SAP SE、Adobe、甲骨文、Catchoom Technologies、SL、华为技术有限公司、Heuritech、WIDE EYES TECHNOLOGIES、FindMine、Inc.、Intelistyle Ltd、Lily AI、Syte 以及其他国内和全球参与者。市场份额数据分别针对全球、北美、欧洲、亚太地区 (APAC)、中东和非洲 (MEA) 和南美提供。DBMR 分析师了解竞争优势并为每个竞争对手分别提供竞争分析。
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研究方法
Data collection and base year analysis are done using data collection modules with large sample sizes. The stage includes obtaining market information or related data through various sources and strategies. It includes examining and planning all the data acquired from the past in advance. It likewise envelops the examination of information inconsistencies seen across different information sources. The market data is analysed and estimated using market statistical and coherent models. Also, market share analysis and key trend analysis are the major success factors in the market report. To know more, please request an analyst call or drop down your inquiry.
The key research methodology used by DBMR research team is data triangulation which involves data mining, analysis of the impact of data variables on the market and primary (industry expert) validation. Data models include Vendor Positioning Grid, Market Time Line Analysis, Market Overview and Guide, Company Positioning Grid, Patent Analysis, Pricing Analysis, Company Market Share Analysis, Standards of Measurement, Global versus Regional and Vendor Share Analysis. To know more about the research methodology, drop in an inquiry to speak to our industry experts.
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Data Bridge Market Research is a leader in advanced formative research. We take pride in servicing our existing and new customers with data and analysis that match and suits their goal. The report can be customized to include price trend analysis of target brands understanding the market for additional countries (ask for the list of countries), clinical trial results data, literature review, refurbished market and product base analysis. Market analysis of target competitors can be analyzed from technology-based analysis to market portfolio strategies. We can add as many competitors that you require data about in the format and data style you are looking for. Our team of analysts can also provide you data in crude raw excel files pivot tables (Fact book) or can assist you in creating presentations from the data sets available in the report.
