Global Artificial Intelligence In Supply Chain Market
市场规模（十亿美元）
CAGR :
% 
 Forecast Period |
2023 –2029 |
 Market Size (Base Year) |
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 Market Size (Forecast Year) |
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 CAGR |
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| Major Markets Players |
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>全球供应链人工智能市场，按产品（硬件、软件和服务）、技术（机器学习、自然语言处理、情境感知计算和计算机视觉）、应用（车队管理、供应链规划、仓库管理、虚拟助理、风险管理、货运经纪等）、行业（汽车、航空航天、零售、制造、医疗保健、消费包装商品和食品饮料）、国家（美国、加拿大、墨西哥、巴西、阿根廷、南美洲其他地区、德国、法国、意大利、英国、比利时、西班牙、俄罗斯、土耳其、荷兰、瑞士、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、阿联酋、沙特阿拉伯、埃及、南非、以色列、中东和非洲其他地区）划分，行业趋势和预测到 2029 年
供应链市场人工智能的市场分析与洞察
互联网普及率激增（尤其是在发展中经济体），对提高组织绩效和运营效率的关注度不断提高，以及中小企业越来越多地采用人工智能等先进技术，这些都是推动供应链人工智能市场增长的主要因素。Data Bridge Market Research 分析称，在 2022-2029 年的预测期内，供应链人工智能市场的复合年增长率将达到 8.60%。因此，到 2029 年，供应链人工智能市场价值将达到 5451 万美元。
供应链中的人工智能通过利用认知预测和最佳行动建议来帮助提高整体供应链绩效。人工智能用于供应链应用程序，以自动化诸如分配资源、将工作分配给人员等流程。
经济体尤其是新兴经济体的数字化程度不断提高将成为市场增长的主要驱动因素。对供应链和物流数据可见性和透明度的需求不断增长、数据和信息量不断增加、中小企业的采用率不断提高以及印度和中国等发展中经济体 IT 行业的不断加强将进一步促进市场的增长。云计算服务的日益普及和政府法规的不断出台是推动市场增长的其他一些因素。
然而，欠发达和发展中经济体缺乏技术专长将成为市场增长的制约因素。此外，劳动力短缺和劳动力成本上升也将再次阻碍市场增长率。落后经济体缺乏强大的基础设施以及人工智能编码的复杂性也将对市场增长率构成挑战。
This artificial intelligence in supply chain market report provides details of new recent developments, trade regulations, import export analysis, production analysis, value chain optimization, market share, impact of domestic and localised market players, analyses opportunities in terms of emerging revenue pockets, changes in market regulations, strategic market growth analysis, market size, category market growths, application niches and dominance, product approvals, product launches, geographical expansions, technological innovations in the market. To gain more info on artificial intelligence in supply chain market contact Data Bridge Market Research for an Analyst Brief, our team will help you take an informed market decision to achieve market growth.
Global Artificial Intelligence in Supply Chain Market Scope and Market Size
The artificial intelligence in supply chain market is segmented on the basis of offering, technology, application and industry. The growth amongst the different segments helps you in attaining the knowledge related to the different growth factors expected to be prevalent throughout the market and formulate different strategies to help identify core application areas and the difference in your target market.
- Artificial intelligence in supply chain market on the basis of offering has been segmented hardware, software and services.
- Based on technology, the artificial intelligence in supply chain market has been segmented into machine learning, natural language processing, context-aware computing and computer vision.
- On the basis of application, the artificial intelligence in supply chain market has been segmented fleet management, supply chain planning, risk management, warehouse management, virtual assistant, freight brokerage and others.
- On the basis of industry, the artificial intelligence in supply chain market has been segmented automotive, aerospace, manufacturing, retail, healthcare, consumer-packaged goods and food and beverages.
Artificial Intelligence in Supply Chain Market Country Level Analysis
The artificial intelligence in supply chain market is analysed and market size, volume information is provided by country, offering, technology, application and industry as referenced above.
The countries covered in the artificial intelligence in supply chain market report are U.S., Canada and Mexico in North America, Germany, France, U.K., Netherlands, Switzerland, Belgium, Russia, Italy, Spain, Turkey, Rest of Europe in Europe, China, Japan, India, South Korea, Singapore, Malaysia, Australia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific (APAC) in the Asia-Pacific (APAC), Saudi Arabia, U.A.E, Israel, Egypt, South Africa, Rest of Middle East and Africa (MEA) as a part of Middle East and Africa (MEA), Brazil, Argentina and Rest of South America as part of South America.
北美在供应链人工智能市场中占据主导地位，并将在预测期内继续保持主导地位，这要归功于主要参与者的大量存在以及发达经济体专注于增强供应链领域现有的解决方案。亚太地区将在预测期内继续实现大幅增长，并将获得最高的复合年增长率。这是因为该地区拥有年轻且精通技术的人口，并且物联网 (IoT) 的普及率不断提高。
供应链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。消费量、生产地点和产量、进出口分析、价格趋势分析、原材料成本、下游和上游价值链分析等数据点是用于预测单个国家市场情景的一些主要指标。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由于来自本地和国内品牌的激烈或稀缺竞争而面临的挑战、国内关税和贸易路线的影响。
供应链市场份额分析中的竞争格局和人工智能
供应链市场竞争格局中的人工智能提供了竞争对手的详细信息。 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、全球影响力、生产基地和设施、生产能力、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供应链市场中人工智能的关注有关。
供应链人工智能市场的一些主要参与者包括亚马逊网络服务公司、project44、德国邮政股份公司、联邦快递、通用电气、谷歌有限责任公司、IBM、英特尔公司、Coupa 软件公司、美光科技公司、微软、NVIDIA 公司、甲骨文、SAP SE、三星、赛灵思、Fraight AI、CH Robinson Worldwide、Inc.、E2open、LLC、RELEX Solutions、SKF 集团、菜鸟网络、Splice Machine 和美国软件公司等。
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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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