Artificial Intelligence (AI) in Supply Chain Market Research Report – Global Forecast till 202

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

Please note that the assessment period of report has been updated from 2018-2023 to 2020-2027. Cordially fill the sample form for updated data.

Market Synopsis


According to MRFR analysis, global AI in supply chain market was valued at USD 545 million in 2017 and is estimated to reach market value of USD 3-4 billion by 2023 growing with 37 % CAGR during forecast period 2018-2023. Increasing trend of online purchase, increasing market growth of E-commerce, increasing growth in big data technology, and high demand for advanced solutions for transparency in supply chain process by key giants such as Amazon, eBay, IBM corporation and others are 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.


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. Whereas, data privacy and lack of connected systems in sectors such as retail and logistics are some of the key challenges faced by the market.


Increasing adoption of connected devices due to advent of IoT has resulted into generation of vast amount of data on the network. According to the statistics published by World Economic forum, 2.5 quintillion bytes of data is being generated every day and around 1 trillion sensors are going to be connected to network by 2022. Development in computing capabilities, and rapidly developing artificial intelligence technologies are taking industrial and commercial market to a new era of technology. Organizations are adopting smart technologies to automate their processes in order to handle such vast amount of generated data. This is also supporting them in making critical business decisions easily, improving their business process by reducing cost, and gaining deeper insights of their distribution and supply channels across the globe.


Segmentation


The global AI in Supply Chain Market is segmented into component, technology, deployment, application, end-users and region.


By component, the market is segmented into hardware, and software. Hardware segment is further classified into processors, memory, and network. Processors segment is further sub-segmented into CPU, GPU, FPGA, and ASIC.


By technology, the market is segmented into machine learning, natural language processing, context-aware computing, and computer vision.


By deployment, the market is sub-categorized into on-premise, on-cloud, and hybrid.


By application, the market is classified into fleet management, warehouse management, supply chain planning, logistics & shipping, supplier relationship management, risk management among others.


By end-users, the market is sub-divided into aerospace, automotive, retail, manufacturing, food & beverage, consumer electronics, and others.


By region, the market is segmented into North America, Europe, Asia-Pacific, and Rest of the world.


Regional analysis


Market Research Future (MRFR) has covered following countries in regional analysis - U.S, Canada and Mexico AI in Supply Chain Market in North America. Germany, U.K, France, Spain, and Italy AI in Supply Chain Market in Europe. China, Japan, India, and Singapore, in Asia-Pacific. The Middle East & Africa and South America AI in Supply Chain Market in the Rest of the world.


North America is leading the AI in Supply Chain Market in 2017, followed by Asia-Pacific and Europe, respectively. Technological advancement, highly developed infrastructure, and growing technical expertise in artificial intelligence technology are some key factors fueling the integration of AI based solutions in supply chain of the industries in the region.  US is the leading market among Canada and Mexico. Developing market of e-commerce and increasing market growth of retail industry is developing a demand for advanced solutions for logistics and warehouse management. Further, presence of key players such as Amazon, IBM Corporation, and Microsoft corporation among others are increasing the market potential of AI based supply chain in North America.


Asia-Pacific AI in supply chain market is projected to grow with fastest growing CAGR during forecast period. Increasing market penetration of E-commerce supported by increasing trend of online purchase and developing network infrastructure & digital technology are some key factors driving the market growth of AI in supply chain in the region. Also, increasing adoption of machine learning and natural language processing technology by technology developers to serve rising & custom requirements of manufacturing, retail and automotive industry applications is further fueling the market potential of AI in supply chain in the Asia-Pacific region.


Key players


Market Research Future has identified following key players in AI in supply chain market- Nvidia Corporation, IBM corporation, Intel Corporation, Xilinx, Inc., Samsung Electronics, Microsoft Corporation, Micron Technology, SAP SE, Oracle Corporation, Logility, Inc., Amazon, and LLamasoft, Inc. among others.


Intended Audience



  • Technology, service, and solution providers

  • Information Technology management

  • Government

  • Research Institutes

  • Consultants/advisory firms

  • AI system integrators

  • Value-Added Resellers (VARs)

  • Strategic business partners



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