Artificial Intelligence (AI) in Supply Chain Market Research Report – Global Forecast till 2027

Artificial Intelligence in Supply Chain Market, By Component (Software, Network, Hardware, FPGA, GPU, ASIC), by End-Users (Automotive, Retail, Manufacturing), by Technology (Machine Learning, Natural Language Processing) – Global Forecast till 2027

ID: MRFR/ICT/5766-HCR | February 2021 | Region: Global | 100 pages

Market Overview 


The global Artificial Intelligence (AI) in supply chain market is growing at a CAGR of 37% for the forecast period of 2018 to 2023. A technological shift in the recent market has propelled the growth of the Artificial Intelligence market over the last few years. Several multinational corporations are making remarkable advancements in the field that is expected to boost the market further in the coming years as well. Several important market factors increase the demand for AI technology in the supply chain and logistics market. 


Artificial Intelligence (AI) technology enables machines to learn, record, mimic, the knowledge provided by humans and create activities and options based on the available information. AI technology is well suited for replacing human efforts and run machines on their own without a human operator. This functionality is a major pusher for the AI market in the logistics industry. In the supply chain and logistics market, huge amounts of data need to be dealt with. Advanced computing and coding facilities have improved the machines to learn the data processing in a transparent and accessible manner that enhances the workflow.     


COVID-19 Analysis 


The deadly infectious disease that fell upon the human race, has been one of the greatest global crises of all time. The extraordinary situation of lockdowns in almost every nation has come along with the disease. For months, the stagnancy in global businesses, cross-border transportation, manufacturing, and distribution has a brutal effect on emerging businesses. Artificial Intelligence (AI) in supply chain market has faced prominent impacts due to the lockdowns. The massive disruptions in the distribution and logistics market have lowered the demands for AI technology. 


Also, the lockdowns have put the global economies in a disastrous phase. There is a shortage of investment capital in several core industries of the market. Hence, there is a lowering of investments in the development of AI solutions as well. Plus, the lack of trained staff in the workforce has been a primary reason that the Artificial Intelligence (AI) in supply chain market sales have reduced in the due process of time. Although, it is expected that the social distancing measures are going to increase the opportunities for AI devices to get in use more than ever in the future.    


Market Dynamics 



  • Drivers


One of the primary market drivers for the market is the demand for transparent and visible work procedures in the supply chain industry. The emergence of AI technology has created awareness about big data and analytics systems. In the logistics market, there is a huge application of AI autonomous data processing in warehouse stocks, management of inventory, product safety, delivery on time, etc. These are some of the many important features that drive Artificial Intelligence (AI) in supply chain market growth. 


Also, increased Governmental guidelines and initiatives in promoting machine automation and AI computing is giving the market push. AI solutions reduce the need for human efforts so it gives relaxation of time and money both. This operational benefit of using AI technology in the supply chain industry is a steady pusher of the market as well. Big corporations are coming forward in the machine automation field to reduce operational costs in future industries. Various Artificial Intelligence (AR) in supply chain market segments are reliant on several end-user industries and the recent trends associated with them. The market is expanding based on these recent trends as well.        



  • Opportunities 


Based on current market trends it is not wrong to say that the future for the AI technology market is glorious. Especially in the supply chain industry, important innovations are going on in the market. All current projections suggest that in the coming years the demand for automation systems and solutions for commercial and business purposes is going to gain significant height. Advancements in the 5G network infrastructure in several countries of the world will have positive reflections on Artificial Intelligence (AI) in supply chain market size. Innovations in machine learning (ML), natural language processing (NLP), computer vision, context-aware computing, etc are going to present tremendous growth opportunities for the market. 


The increasing demand for internet of things (IoT) devices and cloud computing services have the potential to revolutionize data processing operations. In the logistics and supply chain market, big data technology is widely implemented. Especially Artificial intelligence (AI) in supply chain market trends suggest that the demand for supply chain automation will evolve the business workflow forever. 5G networks and IoT will increase the efficiency of machine automation, which will increase the demand for AI-based data processing solutions.          



  • Restraints 


Any new technology faces an obvious obstacle due to unprepared infrastructure in the initial phases. The AI in supply chain market is facing similar restraints due to the lack of suitable infrastructure in several countries. A large section of the global supply chain market still operates in manual mode. Converting the whole system replacing existing systems is a very expensive endeavor. Also, the installation and procurement costing is very high in the case of AI technology. The maintenance and operations require a large investment of time, energy, and money which increases the overhead costs as well. This costing pattern is unsuitable for small and medium enterprises to enter AI-based technology.


AI technology in the supply chain industry is completely reliant on trained developers and coding professionals to improvise, maintain, and manage the system. There is a questionable lack in the availability of these trained staff in the field. This factor restricts the growth of Artificial Intelligence (AI) in supply chain business.    



  • Challenges 


There is a challenging aspect in the advancement of technology. The systems and solutions require constant maintenance and upgrades. The data processing system in the supply chain industry uses multiple resources to integrate the data. These various resources are troublesome for the existing technology. The AI market faces a challenge due to the non-uniformity in data integration structure. Also, there is concern over data privacy in the case of Ai-run solutions. There is a chance of data manipulation, theft, and forgery in the case of automated supply chain devices. In developing countries, the majority of the distribution channels run via manual methods. Repealing a huge workforce and organize alternative employment for them is going to pose another challenging aspect in front of the market.     



  • Cumulative Growth Analysis


According to Artificial Intelligence (AI) in supply chain market analysis, the global market is going to witness tremendous growth in the coming years. The latest projections show that the market will grow at a CAGR of 37% for the forecast period of 2018 to 2023. In 2017, the global market recorded a net worth of USD 545 billion. But according to the estimates, the global market share will reach USD 3 to 4 billion by the end of 2023. The rise in big data technology adaption is going to be the leading force behind the phenomenal growth of the AI industry.  



  • Value Chain Analysis


The distribution of the technology is depended on the end-users. Huge application in various logistic and logistical purposes, the market relies on service providers and developing companies to get the technology close to the users. Various contractual partnerships, acquisitions, mergers are stable procedures in the distribution of AI technology in the market.   


Segments Overview 


Based on various factors, there are different Artificial Intelligence (AI) in supply chain market segments. These segments are divided based on components, technology, end-users, deployment, application, region, etc. 


Segments based on component


Hardware 



  • Processors – CPU, GPU, ASIC, etc 

  • Memory 

  • Network


Software 


Segments based on technology



  • Natural Language Processing (NLP)

  • Context-Aware Computing 

  • Machine Learning (ML)

  • Computer Vision  


Segments based on end-users



  • Automotive

  • Aerospace 

  • Manufacturing 

  • Retail 

  • Consumer Electronics

  • Foods and beverages 

  • Others 


Segments based on application



  • Warehouse management 

  • Fleet management 

  • Supply chain planning 

  • Relationship management 

  • Logistics and shipping 

  • Risk management 

  • Others  


Segments based on region



  • North America 

  • Europe 

  • Asia Pacific (APAC)

  • Rest of the world 


Regional Analysis 


Majorly the global Artificial Intelligence (AI) in Supply Chain Market is classified into three major regions of the world, i.e., the North American region, European region, and Asia Pacific region. The North American region is the global leader in the market share of AI technology in supply chains networks. The economic prosperity and advancements of technology in the US, Canada, Mexico, Germany, France, etc occupy the largest markets globally.   


Competitive Landscape 


The Artificial Intelligence (AI) in supply chain market top leaders are – 



  • IBM Corporation 

  • Intel Corporation 

  • Nvidia Corporation 

  • Amazon 

  • Samsung Electronics 

  • Microsoft Corporation 

  • SAP SE

  • Oracle Corporation 


Recent Developments 


Recent reports from World Economic Forum suggest that every day 2.5 quintillion bytes of data are generating in the world. By this pace, there will be 1 trillion sensors connected in the global sphere by the end of 2022. 


Report Overview 


This report discusses Artificial Intelligence (AI) in supply chain market growth, trends, obstacles, analysis, etc in detail.


Report period:



  • Historic: 2017

  • Base: 2021

  • Forecast: 2023


Report Demography: 



  • North America 

  • Europe 

  • APAC



Report Scope:
Report Attribute/Metric Details
  Market Size

  • USD 545 Million (2017)
  • USD 3-4 Billion (2023)
  •   CAGR   37 % (2018-2023)
      Base Year   2019
      Forecast Period   2020-2027
      Historical Data   2018
      Forecast Units   Value (USD Million)
      Report Coverage   Revenue Forecast, Competitive Landscape, Growth Factors, and Trends
      Segments Covered   By Component, by Technology
      Geographies Covered   North America, Europe, Asia-Pacific, and Rest of the World (RoW)
      Key Vendors   Nvidia Corporation, IBM corporation, Intel Corporation, Xilinx, Inc., Samsung Electronics, Microsoft Corporation, Micron Technology, SAP SE, Oracle Corporation, Logility, Inc., Amazon, and LLamasoft, Inc.
      Key Market Opportunities   Increasing adoption of cloud-based software modules by supply chain industry, rising trend of deploying automation solutions by industries into their operations, and growth in industry 4.0 are some of the trends which are creating high potential opportunities for the market in coming years.
      Key Market Drivers   The prime driving factors for the market. However, lack of technical expertise is expected to restraint the market growth of AI in supply chain in the coming years.


    Frequently Asked Questions (FAQ) :


    The global artificial intelligence in supply chain market is expected to record a substantial market valuation of up to USD 4 billion by 2022.

    The global AI in supply chain market is projected to register a moderate 37% CAGR in the forecast period.

    The manufacturing and retail segments are slated to expand as the fastest-growing segment.

    The hybrid cloud deployment segment is expected to witness substantial growth.

    A few major market players operating in the global AI in supply chain market are SAP SE, Logility, Inc., Amazon, Oracle Corporation, and LLamasoft, Inc., among others.

    TABLE OF CONTENTS

    1 Executive Summary

    2 Scope of the Report

    2.1 Market Definition

    2.2 Scope of the Study

    2.3 Research Objectives

    2.4 Markets Structure

    3 Research Methodology

    4 Market Dynamics

    4.1 Market Drivers

    4.1.1 Increasing market growth of E-commerce

    4.1.2 Increasing growth in big data technology

    4.1.3 High demand for advanced solutions for transparency in supply chain process

    4.2 Market Restraints

    4.2.1 Lack of technical expertise

    4.3 Market Opportunities

    4.3.1 Increasing adoption of cloud-based software modules by supply chain industry

    4.3.2 Rising trend of deploying automation solutions by industries into their operations

    4.3.3 Growth in industry 4.0

    4.4 Market Challenges

    4.4.1 Data privacy

    4.4.2 Lack of connected systems in sectors such as retail and logistics

    4.5 Value Chain analysis

    4.6 Porter’s Five Forces Analysis

    4.6.1 Threat of New Entrants

    4.6.2 Bargaining Power of Buyers

    4.6.3 Threat of Substitutes

    4.6.4 Segment Rivalry

    4.6.5 Bargaining Power of Suppliers

    5 Market Alerts

    5.1 Impact Analysis of Emerging Technologies

    5.2 Use Cases

    5.2.1 Chatbots

    5.2.2 Autonomous Vehicles

    5.2.3 Supplier Relationship Management

    5.3 Government/Industry Norms and Regulations

    6 Artificial Intelligence (AI) in Supply Chain Market by Component

    6.1 Introduction

    6.2 Hardware

    6.2.1 Market Estimates & Forecast, 2020–2027

    6.2.2 Market Estimates & Forecast by Region, 2020–2027

    6.2.3 Processors

    6.2.3.1 Market Estimates & Forecast, 2020–2027

    6.2.3.2 Market Estimates & Forecast by Region, 2020–2027

    6.2.3.3 CPU

    6.2.3.3.1 Market Estimates & Forecast, 2020–2027

    6.2.3.3.2 Market Estimates & Forecast by Region, 2020–2027

    6.2.3.4 GPU

    6.2.3.4.1 Market Estimates & Forecast, 2020–2027

    6.2.3.4.2 Market Estimates & Forecast by Region, 2020–2027

    6.2.3.5 ASICs

    6.2.3.5.1 Market Estimates & Forecast, 2020–2027

    6.2.3.5.2 Market Estimates & Forecast by Region, 2020–2027

    6.2.3.6 FPGA

    6.2.3.6.1 Market Estimates & Forecast, 2020–2027

    6.2.3.6.2 Market Estimates & Forecast by Region, 2020–2027

    6.2.4 Memory

    6.2.4.1 Market Estimates & Forecast, 2020–2027

    6.2.4.2 Market Estimates & Forecast by Region, 2020–2027

    6.2.5 Network

    6.2.5.1 Market Estimates & Forecast, 2020–2027

    6.2.5.2 Market Estimates & Forecast by Region, 2020–2027

    7 Artificial Intelligence (AI) in Supply Chain Market by Technology

    7.1 Introduction

    7.2 Machine Learning

    7.2.1 Market Estimates & Forecast, 2020–2027

    7.2.2 Market Estimates & Forecast by Region, 2020–2027

    7.3 Natural Language processing (NLP)

    7.3.1 Market Estimates & Forecast, 2020–2027

    7.3.2 Market Estimates & Forecast by Region, 2020–2027

    7.4 Context-aware computing

    7.4.1 Market Estimates & Forecast, 2020–2027

    7.4.2 Market Estimates & Forecast by Region, 2020–2027

    7.5 Computer Vision

    7.5.1 Market Estimates & Forecast, 2020–2027

    7.5.2 Market Estimates & Forecast by Region, 2020–2027

    8 Artificial Intelligence (AI) in Supply Chain Market by Deployment

    8.1 Introduction

    8.2 On-premise

    8.2.1 Market Estimates & Forecast, 2020–2027

    8.2.2 Market Estimates & Forecast by Region, 2020–2027

    8.3 On-cloud

    8.3.1 Market Estimates & Forecast, 2020–2027

    8.3.2 Market Estimates & Forecast by Region, 2020–2027

    8.4 Hybrid

    8.4.1 Market Estimates & Forecast, 2020–2027

    8.4.2 Market Estimates & Forecast by Region, 2020–2027

    9 Artificial Intelligence (AI) in Supply Chain Market by Applications

    9.1 Introduction

    9.2 Fleet management

    9.2.1 Market Estimates & Forecast, 2020–2027

    9.2.2 Market Estimates & Forecast by Region, 2020–2027

    9.3 Warehouse management

    9.3.1 Market Estimates & Forecast, 2020–2027

    9.3.2 Market Estimates & Forecast by Region, 2020–2027

    9.4 Supply chain planning

    9.4.1 Market Estimates & Forecast, 2020–2027

    9.4.2 Market Estimates & Forecast by Region, 2020–2027

    9.5 Logistics & shipping

    9.5.1 Market Estimates & Forecast, 2020–2027

    9.5.2 Market Estimates & Forecast by Region, 2020–2027

    9.6 Supplier relationship management

    9.6.1 Market Estimates & Forecast, 2020–2027

    9.6.2 Market Estimates & Forecast by Region, 2020–2027

    9.7 Risk management

    9.7.1 Market Estimates & Forecast, 2020–2027

    9.7.2 Market Estimates & Forecast by Region, 2020–2027

    9.8 Others

    9.8.1 Market Estimates & Forecast, 2020–2027

    9.8.2 Market Estimates & Forecast by Region, 2020–2027

    10 Artificial Intelligence (AI) in Supply Chain Market by Vertical

    10.1 Introduction

    10.2 Aerospace

    10.2.1 Market Estimates & Forecast, 2020–2027

    10.2.2 Market Estimates & Forecast by Region, 2020–2027

    10.3 Automotive

    10.3.1 Market Estimates & Forecast, 2020–2027

    10.3.2 Market Estimates & Forecast by Region, 2020–2027

    10.4 Retail

    10.4.1 Market Estimates & Forecast, 2020–2027

    10.4.2 Market Estimates & Forecast by Region, 2020–2027

    10.5 Manufacturing

    10.5.1 Market Estimates & Forecast, 2020–2027

    10.5.2 Market Estimates & Forecast by Region, 2020–2027

    10.6 Food & beverage

    10.6.1 Market Estimates & Forecast, 2020–2027

    10.6.2 Market Estimates & Forecast by Region, 2020–2027

    10.7 Consumer electronics

    10.7.1 Market Estimates & Forecast, 2020–2027

    10.7.2 Market Estimates & Forecast by Region, 2020–2027

    10.8 Others

    10.8.1 Market Estimates & Forecast, 2020–2027

    10.8.2 Market Estimates & Forecast by Region, 2020–2027

    11 Artificial Intelligence (AI) in Supply Chain Market by Region

    11.1 Introduction

    11.2 North America

    11.2.1 Market Estimates & Forecast by Country, 2020–2027

    11.2.2 Market Estimates & Forecast by Component, 2020–2027

    11.2.3 Market Estimates & Forecast by Technology, 2020–2027

    11.2.4 Market Estimates & Forecast by Deployment, 2020–2027

    11.2.5 Market Estimates & Forecast by Applications, 2020–2027

    11.2.6 Market Estimates & Forecast by End-Users, 2020–2027

    11.2.7 US

    11.2.7.1 Market Estimates & Forecast by Component, 2020–2027

    11.2.7.2 Market Estimates & Forecast by Technology, 2020–2027

    11.2.7.3 Market Estimates & Forecast by Deployment, 2020–2027

    11.2.7.4 Market Estimates & Forecast by Applications, 2020–2027

    11.2.7.5 Market Estimates & Forecast by End-Users, 2020–2027

    11.2.8 Mexico

    11.2.8.1 Market Estimates & Forecast by Component, 2020–2027

    11.2.8.2 Market Estimates & Forecast by Technology, 2020–2027

    11.2.8.3 Market Estimates & Forecast by Deployment, 2020–2027

    11.2.8.4 Market Estimates & Forecast by Applications, 2020–2027

    11.2.8.5 Market Estimates & Forecast by End-Users, 2020–2027

    11.2.9 Canada

    11.2.9.1 Market Estimates & Forecast by Component, 2020–2027

    11.2.9.2 Market Estimates & Forecast by Technology, 2020–2027

    11.2.9.3 Market Estimates & Forecast by Deployment, 2020–2027

    11.2.9.4 Market Estimates & Forecast by Applications, 2020–2027

    11.2.9.5 Market Estimates & Forecast by End-Users, 2020–2027

    11.3 Europe

    11.3.1 Market Estimates & Forecast by Country, 2020–2027

    11.3.2 Market Estimates & Forecast by Component, 2020–2027

    11.3.3 Market Estimates & Forecast by Technology, 2020–2027

    11.3.4 Market Estimates & Forecast by Deployment, 2020–2027

    11.3.5 Market Estimates & Forecast by Applications, 2020–2027

    11.3.6 Market Estimates & Forecast by End-Users, 2020–2027

    11.3.7 Germany

    11.3.7.1 Market Estimates & Forecast by Component, 2020–2027

    11.3.7.2 Market Estimates & Forecast by Technology, 2020–2027

    11.3.7.3 Market Estimates & Forecast by Deployment, 2020–2027

    11.3.7.4 Market Estimates & Forecast by Applications, 2020–2027

    11.3.7.5 Market Estimates & Forecast by End-Users, 2020–2027

    11.3.8 France

    11.3.8.1 Market Estimates & Forecast by Component, 2020–2027

    11.3.8.2 Market Estimates & Forecast by Technology, 2020–2027

    11.3.8.3 Market Estimates & Forecast by Deployment, 2020–2027

    11.3.8.4 Market Estimates & Forecast by Applications, 2020–2027

    11.3.8.5 Market Estimates & Forecast by End-Users, 2020–2027

    11.3.9 Italy

    11.3.9.1 Market Estimates & Forecast by Component, 2020–2027

    11.3.9.2 Market Estimates & Forecast by Technology, 2020–2027

    11.3.9.3 Market Estimates & Forecast by Deployment, 2020–2027

    11.3.9.4 Market Estimates & Forecast by Applications, 2020–2027

    11.3.9.5 Market Estimates & Forecast by End-Users, 2020–2027

    11.3.10 Spain

    11.3.10.1 Market Estimates & Forecast by Component, 2020–2027

    11.3.10.2 Market Estimates & Forecast by Technology, 2020–2027

    11.3.10.3 Market Estimates & Forecast by Deployment, 2020–2027

    11.3.10.4 Market Estimates & Forecast by Applications, 2020–2027

    11.3.10.5 Market Estimates & Forecast by End-Users, 2020–2027

    11.3.11 UK

    11.3.11.1 Market Estimates & Forecast by Component, 2020–2027

    11.3.11.2 Market Estimates & Forecast by Technology, 2020–2027

    11.3.11.3 Market Estimates & Forecast by Deployment, 2020–2027

    11.3.11.4 Market Estimates & Forecast by Applications, 2020–2027

    11.3.11.5 Market Estimates & Forecast by End-Users, 2020–2027

    11.3.12 Rest of Europe

    11.3.12.1 Market Estimates & Forecast by Component, 2020–2027

    11.3.12.2 Market Estimates & Forecast by Technology, 2020–2027

    11.3.12.3 Market Estimates & Forecast by Deployment, 2020–2027

    11.3.12.4 Market Estimates & Forecast by Applications, 2020–2027

    11.3.12.5 Market Estimates & Forecast by End-Users, 2020–2027

    11.4 Asia-Pacific

    11.4.1 Market Estimates & Forecast by Country, 2020–2027

    11.4.2 Market Estimates & Forecast by Component, 2020–2027

    11.4.3 Market Estimates & Forecast by Technology, 2020–2027

    11.4.4 Market Estimates & Forecast by Deployment, 2020–2027

    11.4.5 Market Estimates & Forecast by Applications, 2020–2027

    11.4.6 Market Estimates & Forecast by End-Users, 2020–2027

    11.4.7 China

    11.4.7.1 Market Estimates & Forecast by Component, 2020–2027

    11.4.7.2 Market Estimates & Forecast by Technology, 2020–2027

    11.4.7.3 Market Estimates & Forecast by Deployment, 2020–2027

    11.4.7.4 Market Estimates & Forecast by Applications, 2020–2027

    11.4.7.5 Market Estimates & Forecast by End-Users, 2020–2027

    11.4.8 India

    11.4.8.1 Market Estimates & Forecast by Component, 2020–2027

    11.4.8.2 Market Estimates & Forecast by Technology, 2020–2027

    11.4.8.3 Market Estimates & Forecast by Deployment, 2020–2027

    11.4.8.4 Market Estimates & Forecast by Applications, 2020–2027

    11.4.8.5 Market Estimates & Forecast by End-Users, 2020–2027

    11.4.9 Japan

    11.4.9.1 Market Estimates & Forecast by Component, 2020–2027

    11.4.9.2 Market Estimates & Forecast by Technology, 2020–2027

    11.4.9.3 Market Estimates & Forecast by Deployment, 2020–2027

    11.4.9.4 Market Estimates & Forecast by Applications, 2020–2027

    11.4.9.5 Market Estimates & Forecast by End-Users, 2020–2027

    11.4.10 Singapore

    11.4.10.1 Market Estimates & Forecast by Component, 2020–2027

    11.4.10.2 Market Estimates & Forecast by Technology, 2020–2027

    11.4.10.3 Market Estimates & Forecast by Deployment, 2020–2027

    11.4.10.4 Market Estimates & Forecast by Applications, 2020–2027

    11.4.10.5 Market Estimates & Forecast by End-Users, 2020–2027

    11.4.11 Rest of Asia-Pacific

    11.4.11.1 Market Estimates & Forecast by Component, 2020–2027

    11.4.11.2 Market Estimates & Forecast by Technology, 2020–2027

    11.4.11.3 Market Estimates & Forecast by Deployment, 2020–2027

    11.4.11.4 Market Estimates & Forecast by Applications, 2020–2027

    11.4.11.5 Market Estimates & Forecast by End-Users, 2020–2027

    11.5 Rest of the World

    11.5.1 Market Estimates & Forecast by Country, 2020–2027

    11.5.2 Market Estimates & Forecast by Component, 2020–2027

    11.5.3 Market Estimates & Forecast by Technology, 2020–2027

    11.5.4 Market Estimates & Forecast by Deployment, 2020–2027

    11.5.5 Market Estimates & Forecast by Applications, 2020–2027

    11.5.6 Market Estimates & Forecast by End-Users, 2020–2027

    11.5.7 Middle East & Africa

    11.5.7.1 Market Estimates & Forecast by Component, 2020–2027

    11.5.7.2 Market Estimates & Forecast by Technology, 2020–2027

    11.5.7.3 Market Estimates & Forecast by Deployment, 2020–2027

    11.5.7.4 Market Estimates & Forecast by Applications, 2020–2027

    11.5.7.5 Market Estimates & Forecast by End-Users, 2020–2027

    11.5.8 South America

    11.5.8.1 Market Estimates & Forecast by Component, 2020–2027

    11.5.8.2 Market Estimates & Forecast by Technology, 2020–2027

    11.5.8.3 Market Estimates & Forecast by Deployment, 2020–2027

    11.5.8.4 Market Estimates & Forecast by Applications, 2020–2027

    11.5.8.5 Market Estimates & Forecast by End-Users, 2020–2027

    12 Competitive Landscape

    12.1 Key Players Market Share Analysis, 2020/2020 (%)

    12.2 Competitive Benchmarking

    12.3 Key Developments Analysis, 2020/2020

    12.3.1 Mergers & Acquisition

    12.3.2 Product Developments

    12.3.3 Business Expansion

    12.3.4 Partnerships & Collaborations

    12.3.5 Agreements

    13 Company Profiles

    13.1 Nvidia Corporation

    13.1.1 Company Overview

    13.1.2 Product/Business Segment Overview

    13.1.3 Financial Updates

    13.1.4 Key Developments

    13.1.5 SWOT Analysis

    13.1.6 Key Strategy

    13.2 IBM corporation

    13.2.1 Company Overview

    13.2.2 Product/Business Segment Overview

    13.2.3 Financial Updates

    13.2.4 Key Developments

    13.2.5 SWOT Analysis

    13.2.6 Key Strategy

    13.3 Intel Corporation

    13.3.1 Company Overview

    13.3.2 Product/Business Segment Overview

    13.3.3 Financial Updates

    13.3.4 Key Developments

    13.3.5 SWOT Analysis

    13.3.6 Key Strategy

    13.4 Xilinx, Inc.

    13.4.1 Company Overview

    13.4.2 Product/Business Segment Overview

    13.4.3 Financial Updates

    13.4.4 Key Developments

    13.4.5 SWOT Analysis

    13.4.6 Key Strategy

    13.5 Samsung Electronics

    13.5.1 Company Overview

    13.5.2 Product/Business Segment Overview

    13.5.3 Financial Updates

    13.5.4 Key Developments

    13.5.5 SWOT Analysis

    13.5.6 Key Strategy

    13.6 Microsoft Corporation

    13.6.1 Company Overview

    13.6.2 Product/Business Segment Overview

    13.6.3 Financial Updates

    13.6.4 Key Developments

    13.6.5 SWOT Analysis

    13.6.6 Key Strategy

    13.7 Micron Technology

    13.7.1 Company Overview

    13.7.2 Product/Business Segment Overview

    13.7.3 Financial Updates

    13.7.4 Key Developments

    13.7.5 SWOT Analysis

    13.7.6 Key Strategy

    13.8 SAP SE

    13.8.1 Company Overview

    13.8.2 Product/Business Segment Overview

    13.8.3 Financial Updates

    13.8.4 Key Developments

    13.8.5 SWOT Analysis

    13.8.6 Key Strategy

    13.9 Oracle Corporation

    13.9.1 Company Overview

    13.9.2 Product/Business Segment Overview

    13.9.3 Financial Updates

    13.9.4 Key Developments

    13.9.5 SWOT Analysis

    13.9.6 Key Strategy

    13.10 Logility, Inc.

    13.10.1 Company Overview

    13.10.2 Product/Business Segment Overview

    13.10.3 Financial Updates

    13.10.4 Key Developments

    13.10.5 SWOT Analysis

    13.10.6 Key Strategy

    13.11 Amazon

    13.11.1 Company Overview

    13.11.2 Product/Business Segment Overview

    13.11.3 Financial Updates

    13.11.4 Key Developments

    13.11.5 SWOT Analysis

    13.11.6 Key Strategy

    13.12 LLamasoft, Inc

    13.12.1 Company Overview

    13.12.2 Product/Business Segment Overview

    13.12.3 Financial Updates

    13.12.4 Key Developments

    13.12.5 SWOT Analysis

    13.12.6 Key Strategy

    14 Conclusion/Recommendations


    LIST OF TABLES

    Table 1 Artificial Intelligence (AI) in Supply Chain Market, by Region, 2020–2027

    Table 2 North America: Artificial Intelligence (AI) in Supply Chain Market, by Country, 2020–2027

    Table 3 Europe: Artificial Intelligence (AI) in Supply Chain Market, by Country, 2020–2027

    Table 4 Asia-Pacific: Artificial Intelligence (AI) in Supply Chain Market, by Country, 2020–2027

    Table 5 Rest of the World: Artificial Intelligence (AI) in Supply Chain Market, by Country, 2020–2027

    Table 6 North America: Casino Management System Component Market, by Country, 2020–2027

    Table 7 Europe: Casino Management System Component Market, by Country, 2020–2027

    Table 8 Asia-Pacific: Casino Management System Component Market, by Country, 2020–2027

    Table 9 Rest of the World: Casino Management System Component Market, by Country, 2020–2027

    Table 10 Global Casino Management System Component Market, by Region, 2020–2027

    Table 11 North America: Casino Management System Component Market, by Country, 2020–2027

    Table 12 Europe: Casino Management System Component Market, by Country, 2020–2027

    Table 13 Asia-Pacific: Casino Management System Component Market, by Country, 2020–2027

    Table 14 Rest of the World: Casino Management System Component Market, by Country, 2020–2027

    Table 15 Global Casino Management System Applications Market, by Region, 2020–2027

    Table 16 North America: Casino Management System Applications Market, by Country, 2020–2027

    Table 17 Europe: Casino Management System Applications Market, by Country, 2020–2027

    Table 18 Asia-Pacific: Casino Management System Applications Market, by Country, 2020–2027

    Table 19 Rest of the World: Casino Management System Applications Market, by Country, 2020–2027


    LIST OF FIGURES

    FIGURE 1 Global Artificial Intelligence (AI) in Supply Chain Market Segmentation

    FIGURE 2 Forecast Methodology

    FIGURE 3 Porter’s Five Forces Analysis of Global Artificial Intelligence (AI) in Supply Chain Market

    FIGURE 4 Value Chain/supply chain of Global Artificial Intelligence (AI) in Supply Chain Market

    FIGURE 5 Share of Global Artificial Intelligence (AI) in Supply Chain Market in 2020, by Country (in %)

    FIGURE 6 Global Artificial Intelligence (AI) in Supply Chain Market, 2020–2027

    FIGURE 7 Sub-segments of Component

    FIGURE 8 Global Artificial Intelligence (AI) in Supply Chain Market Size, by Component, 2020

    FIGURE 9 Share of Global Artificial Intelligence (AI) in Supply Chain Market, by Component, 2020 to 2027

    FIGURE 10 Global Artificial Intelligence (AI) in Supply Chain Market Size, by Component, 2020

    FIGURE 11 Share of Global Artificial Intelligence (AI) in Supply Chain Market, by Component, 2020 to 2027

    FIGURE 12 Global Artificial Intelligence (AI) in Supply Chain Market Size, by Applications, 2020

    FIGURE 13 Share of Global Artificial Intelligence (AI) in Supply Chain Market, by Applications, 2020 to 2027