Artificial Intelligence in Supply Chain Market Overview, Introduction, Analysis and Forecast To 2027

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 management 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.

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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 a 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 the end-user 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.

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List of the leading companies operating in the Artificial Intelligence in Supply Chain Market include:

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 the 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-User Industry

Consumer Goods
Industrial
Energy & Power
Aerospace
Others

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Artificial Intelligence in Supply Chain Market by Region

Asia-Pacific (China, Japan, South Korea, India, Taiwan, Rest of Asia-Pacific)
North America (US, Canada, Mexico)
Europe (Germany, Russia, France, Italy, UK, Spain, 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?

Table of Content

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

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