Global Artificial Intelligence in Supply Chain Market (2020 to 2027) - by Component Technology, Application and by End User -

DUBLIN--()--The "Artificial Intelligence in Supply Chain Market by Component (Platforms, Solutions) Technology (Machine Learning, Computer Vision, Natural Language Processing), Application (Warehouse, Fleet, Inventory Management), and by End User - Global Forecast to 2027" report has been added to's offering.

This report carries out an impact analysis of the key industry drivers, restraints, challenges, and opportunities. Adoption of artificial intelligence in the supply chain allows industries to track their operations, enhance supply chain management productivity, augment business strategies, and engage with customers in the digital world.

The growth of artificial intelligence in supply chain market is driven by several factors such as raising awareness of artificial intelligence and big data & analytics and widening implementation of computer vision in both autonomous & semi-autonomous applications. Moreover, the factors such as consistent technological advancements in the supply chain industry, rising demand for AI-based business automation solutions, and evolving supply chain automation are also contributing to the market growth.

The overall AI in supply chain market is segmented by component (hardware, software, and services), by technology (machine learning, computer vision, natural language processing, cognitive computing, and context-aware computing), by application (supply chain planning, warehouse management, fleet management, virtual assistant, risk management, inventory management, and planning & logistics), and by end-user (manufacturing, food and beverages, healthcare, automotive, aerospace, retail, and consumer-packaged goods), and geography.

Companies Mentioned

  • ClearMetal Inc.
  • Deutsche Post AG DHL
  • FedEx
  • General Electric
  • Google LLC
  • IBM Corporation
  • Intel Corporation
  • LLamasoft Inc.
  • Micron Technology Inc.
  • Microsoft Corporation
  • Nvidia Corporation
  • Oracle Corporation
  • SAP
  • Samsung
  • Xilinx

Key Topics Covered:

1. Introduction

2. Research Methodology

3. Executive Summary

3.1. Overview

3.2. Market Analysis, by Component

3.3. Market Analysis, by Technology

3.4. Market Analysis, by Application

3.5. Market Analysis, by End User

3.6. Market Analysis, by Geography

3.7. Competitive Analysis

4. Market Insights

4.1. Introduction

4.2. Market Dynamics

4.2.1. Drivers Rising Awareness of Artificial Intelligence and Big Data & Analytics Widening Implementation of Computer Vision in both Autonomous & Semi-Autonomous Applications

4.2.2. Restraints High Procurement and Operating Cost Lack of Infrastructure

4.2.3. Opportunities Growing Demand for AI -Based Business Automation Solutions Evolving Supply Chain Automation

4.2.4. Challenges Data Integration from Multiple Resources Concerns Over Data Privacy

4.2.5. Trends Rising Adoption of 5g Technology Rising Demand for Cloud-Based Supply Chain Solutions

5. Artificial Intelligence in Supply Chain Market, by Component

5.1. Introduction

5.2. Software

5.2.1. AI Platforms

5.2.2. AI Solutions

5.3. Services

5.3.1. Deployment & Integration

5.3.2. Support & Maintenance

5.4. Hardware

5.4.1. Networking

5.4.2. Memory

5.4.3. Processors

6. Artificial Intelligence in Supply Chain Market, by Technology

6.1. Introduction

6.2. Machine Learning

6.3. Natural Language Processing (NLP)

6.4. Computer Vision

6.5. Context-Aware Computing

7. Artificial Intelligence in Supply Chain Market, by Application

7.1. Introduction

7.2. Supply Chain Planning

7.3. Virtual Assistant

7.4. Risk Management

7.5. Inventory Management

7.6. Warehouse Management

7.7. Fleet Management

7.8. Planning & Logistics

8. Artificial Intelligence in Supply Chain Market, by End User

8.1. Introduction

8.2. Retail Sector

8.3. Manufacturing Sector

8.4. Automotive Sector

8.5. Aerospace Sector

8.6. Food & Beverage Sector

8.7. Consumer Packaged Goods Sector

8.8. Healthcare Sector

9. Global Artificial Intelligence in Supply Chain Market, by Geography

9.1. Introduction

9.2. North America

9.2.1. U.S.

9.2.2. Canada

9.3. Europe

9.3.1. Germany

9.3.2. U.K.

9.3.3. France

9.3.4. Spain

9.3.5. Italy

9.3.6. Rest of Europe

9.4. Asia-Pacific

9.4.1. China

9.4.2. Japan

9.4.3. India

9.4.4. Rest of Asia-Pacific

9.5. Latin America

9.6. Middle East & Africa

10. Competitive Landscape

10.1. Key Growth Strategies

10.2. Competitive Developments

10.2.1. New Product Launches and Upgradations

10.2.2. Mergers and Acquisitions

10.2.3. Partnerships, Agreements, & Collaborations

10.2.4. Expansions

10.3. Market Share Analysis

10.4. Competitive Benchmarking

11. Company Profiles (Business Overview, Financial Overview, Product Portfolio, Strategic Developments)

12. Appendix

For more information about this report visit

Laura Wood, Senior Press Manager
For E.S.T Office Hours Call 1-917-300-0470
For U.S./CAN Toll Free Call 1-800-526-8630
For GMT Office Hours Call +353-1-416-8900

Laura Wood, Senior Press Manager
For E.S.T Office Hours Call 1-917-300-0470
For U.S./CAN Toll Free Call 1-800-526-8630
For GMT Office Hours Call +353-1-416-8900