Reports


Artificial Intelligence (AI) In Supply Chain Market By Technology (Machine Learning, Computer Vision, Natural Language Processing, and Others), By Application (Supply Chain Planning, Warehouse Management, Virtual Assistant, Fleet Management, Risk Management, and Others), By Vertical (Automotive, Manufacturing, Healthcare, Retail, Food and Beverages, and Others)-Global Industry Analytics, COVID-19 Business Impact, and Trends, 2020 – 2029

  • TBI563138
  • July 24, 2020
  • Global
  • 132 pages
  • SAC Insights
                                              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
                    
                    
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	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
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