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Abstract The report covers the forecast and analysis for the AI in supply chain market on a global and regional level. The study provides historical data from 2015 to 2017 along with a forecast from 2018 to 2024 based on revenue (USD Million). The study includes drivers and restraints for the AI in supply chain market along with the impact they have on the demand over the forecast period. Additionally, the report includes the study of opportunities available in the AI in supply chain market on a global level. In order to give the users of this report a comprehensive view of the AI in supply chain market, we have included a detailed competitive scenario and product portfolio of key vendors. To understand the competitive landscape in the market, an analysis of Porter’s Five Forces Model for the AI in supply chain market has also been included. The study encompasses a market attractiveness analysis, wherein all the segments are benchmarked based on their market size, growth rate, and general attractiveness. AI in supply chain market is segmented based on technology, application, vertical, and region. The technology segment included in this market features machine learning, computer vision, natural language processing, and others. The application segment includes supply chain planning, warehouse management, virtual assistant, fleet management, risk management, and others. The vertical segment includes automotive, manufacturing, healthcare, retail, food and beverages, and others. The regional segmentation includes the current and forecast demand for North America, Europe, Asia Pacific, Latin America, and the Middle East and Africa. The report covers a detailed competitive outlook including company profiles of the key participants operating in the global AI in supply chain market. The key players profiled in this report include Xilinx, Inc., Intel Corporation, IBM, Nvidia, Samsung Electronics, SAP SE, Amazon, Microsoft Corporation, Google Inc., Oracle Corporation, LLamasoft, Inc., Cisco Systems, and others. This report segments the global AI in supply chain market as follows: Global AI in Supply Chain Market: Technology Segment Analysis Machine Learning Computer Vision Natural Language Processing Others Global AI in Supply Chain Market: Application Segment Analysis Supply Chain Planning Warehouse Management Virtual Assistant Fleet Management Risk Management Others Global AI in Supply Chain Market: Vertical Segment Analysis Automotive Manufacturing Healthcare Retail Food and Beverages Others Global AI in Supply Chain Market: Regional Segment Analysis North America The U.S. Europe UK France Germany Asia Pacific China Japan India Latin America Brazil Middle East and Africa
Table of Contents Request Table Of Content Click To Request Sample Chapter 1. Introduction 1.1. Report Description and Scope 1.2. Research Scope 1.3. Research Methodology 1.3.1. Market Research Process 1.3.2. Market Research Methodology Chapter 2. Executive Summary 2.1. Global AI in Supply Chain Market, 2015-2024 (USD Million) 2.2. Global AI in Supply Chain Market: Snapshot Chapter 3. AI | read more...