Artificial Intelligence in Supply Chain Market by Component (Hardware, Software, Services), by Technology (Machine Learning, NLP, Computer Vision), by Application (SCP, SCM), by Region (Asia-Pacific, North America, Europe, Middle East & Africa) – Global Forecast 2019 to 2024

Artificial Intelligence in Supply Chain Market: Summary

The Global Artificial Intelligence in Supply Chain Market is estimated to reach USD 4.8 Billion in 2024 at a CAGR of 41.6%. Growing volumes of data in supply chain and adoption of AI to optimize supply chain is expected to drive the artificial intelligence in supply chain market during the forecast period. However, high initial capital cost is expected to restrain the market during the forecast period. Automate processes with AI is expected to become an opportunity for artificial intelligence in supply chain market.

Artificial intelligence is an imitation of human intelligence in programmed machines. Supply chain is a series of processes involved in the manufacturing and distribution of any commodity. Artificial intelligence mainly used in supply chain manahement for supporting end-to-end visibility, building better reaction time, and improving the efficiency of current system and delivering better outcomes. Some key players in artificial intelligence in supply chain market are NVIDIA Corporation, IBM Corporation, Amazon.com, Inc., Microsoft Corporation, and Intel Corporation among others.     

 

Artificial Intelligence in Supply Chain Market: Report Synopsis

This market research report offers a comprehensive analysis of key market trends in the global market. It includes detailed discussion on historical market trends, current market dynamics, consumer landscape, growth opportunities and challenges backed by factful feedbacks. On the basis of hardware, the market is segmented into hardware, software, and services. By technology, the market is segmented into machine learning, natural language processing, and computer vision. By application, the market is segmented into operational procurement, supply chain planning, warehouse management, supplier relationship management, demand planning and others. By end use industry, the market is segmented into consumer goods, industrial, energy and power, aerospace and others. The regional analysis is covered under five major regions such as North America, South America, Europe, Asia-Pacific, and the Middle East and Africa, with individual country-level analysis.

Artificial Intelligence in Supply Chain Market: Report Scope

The report on the market covers a deep dive analysis of historic, recent and current market trends. Furthermore, market share/ranking analysis of key players, market dynamics, competition landscape, country wise analysis for each region covered and the entire supply chain dynamics are covered through the below segmentation.

 

Report Features	Specifics
Historical/Estimated/Forecasted Market Size Years	2017-2024
Base Year for Market Calculation	2018
Forecasted Period	2019-2024 (2019 estimated year, forecasted up to 2024)
Measured Units	Value (USD Million)
Segments Included	Component, Technology, Application, End Use Industry
Regional Coverage	Asia-Pacific, North America, Europe, Middle East & Africa, South America

Companies Covered

• NVIDIA Corporation (Company Description, Company Overview, Product Synopsis, Key Developments, SWOT Analysis)
• IBM Corporation
• com, Inc.
• Microsoft Corporation
• Intel Corporation
• Oracle Corporation
• SAP SE
• Micron Technology, Inc.
• Accenture Plc
• Xilinx, Inc.
• Other Key Companies

Artificial Intelligence in Supply Chain Market: Report Segmentation

For the scope of report, In-depth segmentation is offered by Forencis Research

Artificial Intelligence in Supply Chain Market by Component

• Hardware
  • Memory
  • Network
  • Processor
    • CPU
    • GPU
    • TPU
    • FPGA
    • VPUS
    • ASIC
  • Software
    • Artificial Intelligence Platform
    • Deep Learning Software
    • Chatbots
    • Machine Learning Software
  • Services
    • Deployment and Integration
      • On Cloud
      • On Premise
    • Maintenance and Support

Artificial Intelligence in Supply Chain Market by Technology

• Machine Learning
• Natural Language Processing
• Computer Vision

Artificial Intelligence in Supply Chain Market by Application

• Operational Procurement
• Supply Chain Planning
• Warehouse Management
• Supplier Relationship Management 
• Demand Planning
• Others

 

Artificial Intelligence in Supply Chain Market by End Use Industry

• Consumer Goods
• Industrial
• Energy & Power
• Aerospace
• Others

Artificial Intelligence in Supply Chain Market by Region

• Asia-Pacific
  • China
  • India
  • Japan
  • South Korea
  • Australia
  • Rest of Asia-Pacific
• North America
  • US
  • Canada
  • Mexico
• Europe
  • Germany
  • France
  • Italy
  • UK
  • The Netherlands
  • Rest of Europe
• Middle East and Africa
  • Saudi Arabia
  • UAE
  • Rest of Middle East & Africa
• South America
  • Brazil
  • Argentina
  • Rest of South America

Key Questions answered by the report

• What are the major developments impacting the global market and its growth?
• What will be the effects of the developments in the global market on the industry and on the market players in the near and far future?
• What are the evolving types of the global market?
• What are the evolving applications of global market?
• What are the major characteristics that will affect the global market growth during the study period?
• Who are the key players operating in the global market?
• How are the major players leveraging in the existing market conditions?

Report Audience

• Artificial Intelligence in Supply Chain Market Providers
• Artificial Intelligence in Supply Chain Market Solution and Services Suppliers, Distributors and Dealers
• End-Users of Varied Segments of Artificial Intelligence in Supply Chain Market
• Government Bodies and Intellectual Institutions
• Associations and Industrial Organizations
• Research & Consulting Service Providers
• Research & Development Organizations
• Investment Banks & Private Equity Firms

60+ MARKET TABLES AND 30+ FIGURES WILL BE INCLUDED IN THE ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET STUDY

1      INTRODUCTION

1.1       Research Objectives

1.2       Market Definition

1.3       Research Scope

1.4       Regional Coverage

1.5       Research Timeline

1.6       Assumptions

1.7       Limitations

2      RESEARCH DESIGN & SCOPE

2.1       Introduction

2.2       Primary Research

                                  2.2.1    Key Industry Expert Insight

2.3       Secondary Research

                                  2.3.1    Vital Data from Secondary Sources

2.4       Market Size Estimation

2.5       Data Validation & Triangulation

3      EXECUTIVE SUMMARY

4      MARKET DYNAMICS

4.1       Introduction

4.2       Drivers

                                  4.2.1    Growing Volumes of Data in Supply Chain

                                  4.2.2    Growing Adoption of AI to Optimize Supply Chain

4.3       Restraints

                                  4.3.1    High Initial Capital Cost

4.4       Opportunities

                                 4.4.1.    Automate Processes with AI

4.5       Challenges

                                 4.5.1.    Absence of Appropriate Governance System

                                 4.5.2.    Data Silos

5      INDUSTRY TRENDS – PORTERS FIVE FORCES ANALYSIS

5.1       Introduction

                                 5.1.1.    Power of Buyers

                                 5.1.2.    Power of Suppliers

                                 5.1.3.    Intensity of Competition

                                 5.1.4.    Challenges of Substitutes

                                 5.1.5.    Challenges of New Entrants

5.2       Macro-Economic Indicators

6      GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET BY COMPONENT, Market Size in USD Million (2017—2024)

6.1       Introduction

6.2       Hardware

                                  6.2.1    Memory

                                  6.2.2    Network

                                  6.2.3    Processor

6.2.3.1    CPU

6.2.3.2    GPU

6.2.3.3   TPU

6.2.3.4   FPGA

6.2.3.5   VPUS

6.2.3.6   ASIC

6.3       Software

                                  6.3.1    Artificial Intelligence Platform

                                  6.3.2    Deep Learning Software

                                  6.3.3    Chatbots

                                  6.3.4    Machine Learning Software

6.4       Services

                                  6.4.1    Deployment and Integration

6.4.1.1   On Cloud

6.4.1.2   On Premise

                                  6.4.2    Maintenance and Support

7      GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET BY TECHNOLOGY, Market Size in USD Million (2017—2024)

7.1       Introduction

7.2       Machine Learning

7.3       Natural Language Processing

7.4       Computer Vision

8      GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET BY APPLICATION, Market Size in USD Million (2017—2024)

8.1       Introduction

8.2       Operational Procurement

8.3       Supply Chain Planning

8.4       Warehouse Management

8.5       Supplier Relationship Management 

8.6       Demand Planning

8.7       Others

9      GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET BY END USE INDUSTRY, Market Size in USD Million (2017—2024)

9.1       Introduction

9.2       Consumer Goods

9.3       Industrial

9.4       Energy & Power

9.5       Aerospace

9.6       Others

 

10   GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET BY REGION, Market Size in USD Million (2017—2024)

10.1     North America

                                10.1.1    US

                                10.1.2    Canada

                                10.1.3    Mexico

10.2     Europe

                                10.2.1    Germany

                                10.2.2    France

                                10.2.3    Italy

                                10.2.4    UK

                                10.2.5    The Netherlands

                                10.2.6    Rest of Europe

10.3     Asia-Pacific

                                10.3.1    China

                                10.3.2    India

                                10.3.3    Japan

                                10.3.4    South Korea

                                10.3.5    Australia

                                10.3.6    Rest of Asia-Pacific

10.4     Middle East & Africa

                                10.4.1    Saudi Arabia

                                10.4.2    UAE

                                10.4.3    Rest of Middle East & Africa

10.5     South America

                                10.5.1    Brazil

                                10.5.2    Argentina

                                10.5.3    Rest of South America

11   COMPETITIVE LANDSCAPE

11.1     Introduction

11.2     Market Ranking/Share Analysis of Key Companies

11.3     Company Benchmarking

12   COMPANY PROFILES

12.1     NVIDIA Corporation

                                12.1.1    Company Overview

                                12.1.2    Financial Overview

                                12.1.3    Products/Solutions/Services Offered

                                12.1.4    Key Developments

                                12.1.5    SWOT Analysis

12.2     IBM Corporation

12.3     Amazon.com, Inc.

12.4     Microsoft Corporation

12.5     Intel Corporation

12.6     Oracle Corporation

12.7     SAP SE

12.8     Micron Technology, Inc.

12.9     Accenture Plc

12.10  Xilinx, Inc.

12.11  Other Key Companies

13   APPENDIX

13.1     Key Industry Expert Insights

13.2     Primary Discussion Guide

13.3     Customization Options

Note1: Tentative table of contents, may get updated during the course of research.

Note2: Company financial information is subject to availability in public domain

 

60+ MARKET TABLES AND 30+ FIGURES WILL BE INCLUDED IN THE STUDY

 

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Research Design

Forencis Research follows robust and deep dive research methodologies to deliver accurate – current, estimated and forecasted market data. Our extensive primary and secondary research help in deriving reliable qualitative and quantitative data to provide verified market insights. Our research team tracks historic trends, existing and recent market dynamics, growth prospects, competitor landscape, and the entire value chain dynamics to attain reliable industry facts to reach accurate market estimates. Primary research is conducted through thorough interviews and detailed surveys with the Key Industry Experts and related participants across the value chain. Secondary research entails acquiring data through paid and reliable databases such as annual reports, SEC filings, research publications, association publications, investor presentations, white papers and other sources. All the above-obtained information is further processed and collated with our existing database prior to its presentation in our publications.

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