Artificial Intelligence in Supply Chain Market by Technology, Trends, End Users and Top Leading Players Amazon, Nvidia, Xilinx, Cisco Systems, Oracle, Google

Artificial intelligence in Supply Chain Market is used to improve the efficiency of the supply chain. Vast amounts of data are collected by industrial logistics, transportation, and warehousing and to harness these data to drive operational performance, this technology can be a game-changer in the near future.

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Key players profiled in the report include Intel Corp., Amazon Inc., Oracle Corp., SAP SE, IBM Corp., Google Inc., Cisco Systems Inc., Microsoft Corp., Nvidia Corporation, Xilinx Inc.

Rising use of big data, growing demand for greater transparency, visibility into supply chain data and processes, and increasing adoption of AI for improving consumer services and satisfaction are some of the other factors driving the demand in this market. Moreover, the growing applicability of AI in various industries has further augmented the demand in this market.

The regional analysis provided in the research study offers a complete study on the growth of the global Artificial Intelligence in the Supply Chain market in different regions and countries. Readers are also provided with comprehensive competitive analysis, which includes a detailed profiling of leading players operating in the global Artificial Intelligence in the Supply Chain market. The report provides accurate data and insights related to the global Artificial Intelligence in Supply Chain market, which includes CAGR, value, volume, consumption, production growth rate, and revenue.

Target Audience:
• Artificial Intelligence in Supply Chain Manufacturers
• Semiconductor Companies
• Associations and Industry Bodies.

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The artificial intelligence in supply chain market is primarily segmented based on offering, by technology, by application, by end-user, and region.

Based on offering, the market is divided into: Hardware, Software, Services, and Others.

Based on technology, the market is divided into: Machine Learning, Natural Language Processing, Context-aware Computing, Computer Vision, and Others.

Based on application, the market is divided into: Fleet Management, Supply Chain Planning, Warehouse Management, Virtual Assistant, Risk Management, Freight Brokerage and Others.

Based on end-user, the market is divided into: Automotive, Aerospace, Manufacturing, Retail, Healthcare, Consumer-packaged Goods, Food and Beverages, and Others.

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Research Methodology:
The market is derived through extensive use of secondary, primary, in-house research followed by expert validation and third party perspective, such as, analyst reports of investment banks. The secondary research is the primary base of our study wherein we conducted extensive data mining, referring to verified data sources, such as, white papers, research and regulatory published articles, technical journals, trade magazines, and paid data sources.

For forecasting, regional demand & supply factors, recent investments, market dynamics including technical growth scenario, consumer behavior, and end use trends and dynamics, and production trends were taken into consideration. Different weightages have been assigned to these parameters and quantified their market impacts using the weighted average analysis to derive the market growth rate.

The market estimates and forecasts have been verified through exhaustive primary research with the Key Industry Participants (KIP), which typically include:
• Product Manufacturers
• Fleet Managers.

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