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.
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.
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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Report Features |
Specifics |
|---|---|
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Historical/Estimated/Forecasted Market Size Years |
2017-2024 |
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Base Year for Market Calculation |
2018 |
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Forecasted Period |
2019-2024 (2019 estimated year, forecasted up to 2024) |
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Measured Units |
Value (USD Million) |
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Segments Included |
Component, Technology, Application, End-User Industry |
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Regional Coverage |
Asia-Pacific, North America, Europe, Middle East & Africa, South America |
For the scope of the report, In-depth segmentation is offered by Forencis Research
Artificial Intelligence in Supply Chain Market by Component
Artificial Intelligence in Supply Chain Market by Technology
Artificial Intelligence in Supply Chain Market by Application
Artificial Intelligence in Supply Chain Market by End-User Industry
Artificial Intelligence in Supply Chain Market by Region
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