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Artificial Intelligence (AI) In Supply Chain Market By Technology (Machine Learning, Computer Vision, Natural Language Processing, and Others), By Application (Supply Chain Planning, Warehouse Management, Virtual Assistant, Fleet Management, Risk Management, and Others), By Vertical (Automotive, Manufacturing, Healthcare, Retail, Food and Beverages, and Others): Global Industry Perspective, Comprehensive Analysis, and Forecast, 2017 – 2024

Published Date: 30-Oct-2018 Category: Technology & Media Report Format : PDF Pages: 183 Report Code: ZMR-3481 Status : Published

Global artificial intelligence (AI) in supply chain market expected to reach approximately USD 6,548 million by 2024, at a CAGR of around 44.76% between 2018 and 2024. Increasing use of computer vision to reduce the time spent on repetitive tasks in supply chain is driving the growth of global AI in supply chain market.

Description

The report covers the forecast and analysis for the AI in supply chain market on a global and regional level. The study provides historical data from 2015 to 2017 along with a forecast from 2018 to 2024 based on revenue (USD Million). The study includes drivers and restraints for the AI in supply chain market along with the impact they have on the demand over the forecast period. Additionally, the report includes the study of opportunities available in the AI in supply chain market on a global level.

In order to give the users of this report a comprehensive view of the AI in supply chain market, we have included a detailed competitive scenario and product portfolio of key vendors. To understand the competitive landscape in the market, an analysis of Porter’s Five Forces Model for the AI in supply chain market has also been included. The study encompasses a market attractiveness analysis, wherein all the segments are benchmarked based on their market size, growth rate, and general attractiveness. 

Global Artificial Intelligence (AI) In Supply Chain Market

AI in supply chain market is segmented based on technology, application, vertical, and region. The technology segment included in this market features machine learning, computer vision, natural language processing, and others. The application segment includes supply chain planning, warehouse management, virtual assistant, fleet management, risk management, and others. The vertical segment includes automotive, manufacturing, healthcare, retail, food and beverages, and others. The regional segmentation includes the current and forecast demand for North America, Europe, Asia Pacific, Latin America, and the Middle East and Africa.

The report covers a detailed competitive outlook including company profiles of the key participants operating in the global AI in supply chain market. The key players profiled in this report include Xilinx, Inc., Intel Corporation, IBM, Nvidia, Samsung Electronics, SAP SE, Amazon, Microsoft Corporation, Google Inc., Oracle Corporation, LLamasoft, Inc., Cisco Systems, and others.

This report segments the global AI in supply chain market as follows:

Global AI in Supply Chain Market: Technology Segment Analysis

  • Machine Learning
  • Computer Vision
  • Natural Language Processing
  • Others

Global AI in Supply Chain Market: Application Segment Analysis

  • Supply Chain Planning
  • Warehouse Management
  • Virtual Assistant
  • Fleet Management
  • Risk Management
  • Others

Global AI in Supply Chain Market: Vertical Segment Analysis

  • Automotive
  • Manufacturing
  • Healthcare
  • Retail
  • Food and Beverages
  • Others

Global AI in Supply Chain Market: Regional Segment Analysis

  • North America
    • The U.S.
  • Europe
    • UK
    • France
    • Germany
  • Asia Pacific
    • China
    • Japan
    • India
  • Latin America
    • Brazil
  • Middle East and Africa

Table Of Content

  • Chapter 1. Introduction
    • 1.1. Report Description and Scope
    • 1.2. Research Scope
    • 1.3. Research Methodology
      • 1.3.1. Market Research Process
      • 1.3.2. Market Research Methodology
  •  
  • Chapter 2. Executive Summary
    • 2.1. Global AI in Supply Chain Market, 2015-2024 (USD Million)
    • 2.2. Global AI in Supply Chain Market: Snapshot
  •  
  • Chapter 3. AI in Supply Chain Market - Dynamics
    • 3.1. Introduction
    • 3.2. Industrial Ecosystem Analysis
    • 3.3. Technology Landscape
    • 3.4. Market Drivers
      • 3.4.1. Global AI in Supply Chain Market Drivers: Impact Analysis
      • 3.4.2. Increasing Need of Big Data Analytics in Supply Chain Management
      • 3.4.3. Rising Adoption of Automated Guided Vehicles (AGVS) in Supply Chain Process
    • 3.5. Market Restraints
      • 3.5.1. Difficulties in Integration of Data From Multiple Sources
    • 3.6. Opportunities
      • 3.6.1. Cloud-Based Supply Chain Management Solutions
    • 3.7. Innovation and Sustainability
    • 3.8. Regulatory Landscape
      • 3.8.1. The U.S.
      • 3.8.2. Europe
      • 3.8.3. China
    • 3.9. Porter's Five Forces Analysis
      • 3.9.1. Bargaining Power of Suppliers
      • 3.9.2. Bargaining Power of Buyers
      • 3.9.3. Threat From New Entrants
      • 3.9.4. Threat From New Substitutes
      • 3.9.5. Degree of Competition
    • 3.10. PESTLE Analysis
    • 3.11. Market Attractiveness Analysis
      • 3.11.1. Market Attractiveness Analysis, byTechnology Segment
      • 3.11.2. Market Attractiveness Analysis, by application segment
      • 3.11.3. Market Attractiveness Analysis, by Vertical Segment
      • 3.11.4. Market Attractiveness Analysis, by Regional Segment
  •  
  • Chapter 4. Global AI in Supply Chain Market - Competitive Landscape
    • 4.1. Company Market Share Analysis
      • 4.1.1. Global AI in Supply Chain Market: Company Market Share, 2017
    • 4.2. Strategic Development
      • 4.2.1. Acquisitions & Mergers
      • 4.2.2. New Product Launch
      • 4.2.3. Agreements, Partnerships, Collaborations and Joint Ventures
      • 4.2.4. Research and Development, Product and Regional Expansion
  •  
  • Chapter 5. Global AI in Supply Chain Market -TechnologySegment Analysis
    • 5.1. Global AI in Supply Chain Market: TechnologyOverview
      • 5.1.1. Global AI in Supply Chain Market Revenue Share, byTechnology, 2017 and 2024
    • 5.2. Machine Learning
      • 5.2.1. Global AI in Supply Chain Market by Machine Learning, 2015-2024 (USD Million)
    • 5.3. Computer Vision
      • 5.3.1. Global AI in Supply Chain Market by Computer Vision, 2015-2024 (USD Million)
    • 5.4. Natural Language Processing
      • 5.4.1. Global AI in Supply Chain Market by Natural Language Processing, 2015-2024 (USD Million)
    • 5.5. Others
      • 5.5.1. Global AI in Supply Chain Market by Others, 2015-2024 (USD Million)
  •  
  • Chapter 6. Global AI in Supply Chain Market -ApplicationSegment Analysis
    • 6.1. Global AI in Supply Chain Market: Application Overview
      • 6.1.1. Global AI in Supply Chain Market Revenue Share, byApplication, 2017 and 2024
    • 6.2. Supply Chain Planning
      • 6.2.1. Global AI in Supply Chain Market by Supply Chain Planning, 2015-2024 (USD Million)
    • 6.3. Warehouse Management
      • 6.3.1. Global AI in Supply Chain Market by Warehouse Management, 2015-2024 (USD Million)
    • 6.4. Virtual Assistant
      • 6.4.1. Global AI in Supply Chain Market by Virtual Assistant, 2015-2024 (USD Million)
    • 6.5. Fleet Management
      • 6.5.1. Global AI in Supply Chain Market by Fleet Management, 2015-2024 (USD Million)
    • 6.6. Risk Management
      • 6.6.1. Global AI in Supply Chain Market by Risk Management, 2015-2024 (USD Million)
    • 6.7. Others
      • 6.7.1. Global AI in Supply Chain Market by Others, 2015-2024 (USD Million)
  •  
  • Chapter 7. Global AI in Supply Chain Market -Vertical Segment Analysis
    • 7.1. Global AI in Supply Chain Market: Vertical Overview
      • 7.1.1. Global AI in Supply Chain Market Revenue Share, byVertical, 2017 and 2024
    • 7.2. Automotive
      • 7.2.1. Global AI in Supply Chain Market for Automotive, 2015-2024 (USD Million)
    • 7.3. Manufacturing
      • 7.3.1. Global AI in Supply Chain Market for Manufacturing, 2015-2024 (USD Million)
    • 7.4. Healthcare
      • 7.4.1. Global AI in Supply Chain Market for Healthcare, 2015-2024 (USD Million)
    • 7.5. Retail
      • 7.5.1. Global AI in Supply Chain Market for Retail, 2015-2024 (USD Million)
    • 7.6. Food and Beverages
      • 7.6.1. Global AI in Supply Chain Market for Food and Beverages, 2015-2024 (USD Million)
    • 7.7. Others
      • 7.7.1. Global AI in Supply Chain Market for Others, 2015-2024 (USD Million)
  •  
  • Chapter 8. Global AI in Supply Chain Market - Regional Segment Analysis
    • 8.1. Global AI in Supply Chain Market: Regional Overview
      • 8.1.1. Global AI in Supply Chain Market Revenue Share, by Region, 2017 and 2024
    • 8.2. North America
      • 8.2.1. North America AI in Supply Chain Market, 2015-2024 (USD Million)
      • 8.2.2. North America AI in Supply Chain Market Revenue, by Technology, 2015-2024 (USD Million)
      • 8.2.3. North America AI in Supply Chain Market Revenue, by Application, 2015-2024 (USD Million)
      • 8.2.4. North America AI in Supply Chain Market Revenue, By Vertical, 2015-2024 (USD Million)
      • 8.2.5. The U.S.
        • 8.2.5.1. The U.S. AI in Supply Chain Market Revenue, by Technology, 2015-2024 (USD Million)
        • 8.2.5.2. The U.S. AI in Supply Chain Market Revenue, by Application, 2015-2024 (USD Million)
        • 8.2.5.3. The U.S. AI in Supply Chain Market Revenue, By Vertical, 2015-2024 (USD Million)
    • 8.3. Europe
      • 8.3.1. Europe AI in Supply Chain Market, 2015-2024 (USD Million)
      • 8.3.2. Europe AI in Supply Chain Market Revenue, byTechnology, 2015-2024 (USD Million)
      • 8.3.3. Europe AI in Supply Chain Market Revenue, by Application, 2015-2024 (USD Million)
      • 8.3.4. Europe AI in Supply Chain Market Revenue, By Vertical, 2015-2024 (USD Million)
      • 8.3.5. France
        • 8.3.5.1. France AI in Supply Chain Market Revenue, byTechnology, 2015-2024 (USD Million)
        • 8.3.5.2. France AI in Supply Chain Market Revenue, by Application, 2015-2024 (USD Million)
        • 8.3.5.3. France AI in Supply Chain Market Revenue, By Vertical, 2015-2024 (USD Million)
      • 8.3.6. UK
        • 8.3.6.1. UK AI in Supply Chain Market Revenue, byTechnology, 2015-2024 (USD Million)
        • 8.3.6.2. UK AI in Supply Chain Market Revenue, by Application, 2015-2024 (USD Million)
        • 8.3.6.3. UK AI in Supply Chain Market Revenue, By Vertical, 2015-2024 (USD Million)
      • 8.3.7. Germany
        • 8.3.7.1. Germany AI in Supply Chain Market Revenue, by Technology, 2015-2024 (USD Million)
        • 8.3.7.2. Germany AI in Supply Chain Market Revenue, by Application, 2015-2024 (USD Million)
        • 8.3.7.3. Germany AI in Supply Chain Market Revenue, By Vertical, 2015-2024 (USD Million)
    • 8.4. Asia Pacific
      • 8.4.1. Asia Pacific AI in Supply Chain Market, 2015-2024 (USD Million)
      • 8.4.2. Asia Pacific AI in Supply Chain Market Revenue, by Technology, 2015-2024 (USD Million)
      • 8.4.3. Asia Pacific AI in Supply Chain Market Revenue, by Application, 2015-2024 (USD Million)
      • 8.4.4. Asia Pacific AI in Supply Chain Market Revenue, By Vertical, 2015-2024 (USD Million)
      • 8.4.5. India
        • 8.4.5.1. India AI in Supply Chain Market Revenue, by Technology, 2015-2024 (USD Million)
        • 8.4.5.2. India AI in Supply Chain Market Revenue, by Application, 2015-2024 (USD Million)
        • 8.4.5.3. India AI in Supply Chain Market Revenue, By Vertical, 2015-2024 (USD Million)
      • 8.4.6. China
        • 8.4.6.1. China AI in Supply Chain Market Revenue, by Technology, 2015-2024 (USD Million)
        • 8.4.6.2. China AI in Supply Chain Market Revenue, by Application, 2015-2024 (USD Million)
        • 8.4.6.3. China AI in Supply Chain Market Revenue, By Vertical, 2015-2024 (USD Million)
      • 8.4.7. Japan
        • 8.4.7.1. Japan AI in Supply Chain Market Revenue, by Technology, 2015-2024 (USD Million)
        • 8.4.7.2. Japan AI in Supply Chain Market Revenue, by Application, 2015-2024 (USD Million)
        • 8.4.7.3. Japan AI in Supply Chain Market Revenue, By Vertical, 2015-2024 (USD Million)
    • 8.5. Latin America
      • 8.5.1. Latin America AI in Supply Chain Market, 2015-2024 (USD Million)
      • 8.5.2. Latin America AI in Supply Chain Market Revenue, by Technology, 2015-2024 (USD Million)
      • 8.5.3. Latin America AI in Supply Chain Market Revenue, by Application, 2015-2024 (USD Million)
      • 8.5.4. Latin America AI in Supply Chain Market Revenue, By Vertical, 2015-2024 (USD Million)
      • 8.5.5. Brazil
        • 8.5.5.1. Brazil AI in Supply Chain Market Revenue, byTechnology, 2015-2024 (USD Million)
        • 8.5.5.2. Brazil AI in Supply Chain Market Revenue, byApplication, 2015-2024 (USD Million)
        • 8.5.5.3. Brazil AI in Supply Chain Market Revenue, byVertical, 2015-2024 (USD Million)
    • 8.6. The Middle East and Africa
      • 8.6.1. The Middle East and Africa AI in Supply Chain Market, 2015-2024 (USD Million)
      • 8.6.2. The Middle East and Africa AI in Supply Chain Market Revenue, by Technology, 2015-2024 (USD Million)
      • 8.6.3. The Middle East and Africa AI in Supply Chain Market Revenue, by Application, 2015-2024 (USD Million)
      • 8.6.4. The Middle East and Africa AI in Supply Chain Market Revenue, By Vertical, 2015-2024 (USD Million)
  •  
  • Chapter 9. Company Profile
    • 9.1. Xilinx, Inc.
      • 9.1.1. Overview
      • 9.1.2. Financials
      • 9.1.3. Product Portfolio
      • 9.1.4. Business Strategy
      • 9.1.5. Recent development
    • 9.2. Intel Corporation
      • 9.2.1. Overview
      • 9.2.2. Financials
      • 9.2.3. Product Portfolio
      • 9.2.4. Business Strategy
      • 9.2.5. Recent Development
    • 9.3. IBM
      • 9.3.1. Overview
      • 9.3.2. Financials
      • 9.3.3. Product Portfolio
      • 9.3.4. Business Strategy
      • 9.3.5. Recent Development
    • 9.4. Nvidia
      • 9.4.1. Overview
      • 9.4.2. Financials
      • 9.4.3. Product Portfolio
      • 9.4.4. Business Strategy
      • 9.4.5. Recent Development
    • 9.5. Samsung Electronics
      • 9.5.1. Overview
      • 9.5.2. Financial
      • 9.5.3. Product Portfolio
      • 9.5.4. Business Strategy
      • 9.5.5. Recent Development
    • 9.6. SAP SE
      • 9.6.1. Overview
      • 9.6.2. Financial
      • 9.6.3. Product portfolio
      • 9.6.4. Business Strategy
      • 9.6.5. Recent Development
    • 9.7. Amazon
      • 9.7.1. Overview
      • 9.7.2. Financial
      • 9.7.3. Product portfolio
      • 9.7.4. Business Strategy
      • 9.7.5. Recent Development
    • 9.8. Microsoft Corporation
      • 9.8.1. Overview
      • 9.8.2. Financial
      • 9.8.3. Product Portfolio
      • 9.8.4. Business Strategy
      • 9.8.5. Recent Development
    • 9.9. Google Inc.
      • 9.9.1. Overview
      • 9.9.2. Financial
      • 9.9.3. Product Portfolio
      • 9.9.4. Business Strategy
      • 9.9.5. Recent Development
    • 9.10. Oracle Corporation
      • 9.10.1. Overview
      • 9.10.2. Financial
      • 9.10.3. Product Portfolio
      • 9.10.4. Business Strategy
      • 9.10.5. Recent Development
    • 9.11. LLamasoft, Inc.
      • 9.11.1. Overview
      • 9.11.2. Financial
      • 9.11.3. Product Portfolio
      • 9.11.4. Business Strategy
      • 9.11.5. Recent Development
    • 9.12. Cisco Systems
      • 9.12.1. Overview
      • 9.12.2. Financial
      • 9.12.3. Product Portfolio
      • 9.12.4. Business Strategy
      • 9.12.5. Recent Development
    • 9.13. Company 13
      • 9.13.1. Overview
      • 9.13.2. Financial
      • 9.13.3. Product Portfolio
      • 9.13.4. Business Strategy
      • 9.13.5. Recent Development
    • 9.14. Company 14
      • 9.14.1. Overview
      • 9.14.2. Financial
      • 9.14.3. Product Portfolio
      • 9.14.4. Business Strategy
      • 9.14.5. Recent Development
    • 9.15. Company 15
      • 9.15.1. Overview
      • 9.15.2. Financial
      • 9.15.3. Product Portfolio
      • 9.15.4. Business Strategy
      • 9.15.5. Recent Development

Methodology

Free Analysis

Supply chain is a critical part of every industry today, but it is not recognized by AI startups and vendors as compared to other industries, such as finance, healthcare, and retail. Various businesses are showing increased interest in AI technology, due to its ability to leverage huge amounts of data received by industrial logistics, transportation, and warehousing systems. Many leading firms globally are beginning to pay attention to AI for improving the efficiency of their supply chain systems. 

Increasing need for big data analytics in the supply chain management is expected to drive the expansion of the global AI in supply chain market across the globe. Earlier supply chain management used operation research and statistics for optimizing the goals to match the demand and supply. Additionally, the development of big data analytics has brought new opportunities in the supply chain analytics to improve a business’ operational efficiency. Growing adoption of machine learning to make predictions and find insights in collected data will be anticipated to escalate the growth of AI in supply chain market globally. The use of machine learning in supply chain management helps in increasing customer service levels and customer preference for new products and services in order to optimize inventory levels and replacement plans. Furthermore, increasing demand for greater visibility and transparency in supply chain management is boosting the demand for AI in supply chain market. Remote sensing, connected devices, telematics, and vehicles together generate a massive amount of valuable data. Turning this data into valuable insights is one of the major challenges of organizations involved in the supply chain and logistics industry. In addition, difficulties in data integration from multiple sources might hinder the growth of the global AI in supply chain market. Nonetheless, improved customer service, cost saving, and improved security are the major advantages of cloud-based supply chain management solutions. Therefore, the cloud-based supply chain management solutions will gain traction for AI in supply chain market during the forecast period.

Global Artificial Intelligence (AI) In Supply Chain Market

AI in supply chain market is segmented based on technology, application, vertical, and region. The technology segment includes machine learning, computer vision, natural language processing, and others. Among these technologies, the computer vision segment is expected to grow at the highest CAGR, as it helps the customers in controlling their inbound and outbound logistics. The application segment includes supply chain planning, warehouse management, virtual assistant, fleet management, risk management, and others. Among these applications, the warehouse management segment held the largest market share in the global AI in supply chain market in 2017. Increasing popularity of the warehouse execution systems (WES) software in warehouse management is anticipated to propel the growth of AI in supply chain market. Various verticals considered in this research study are automotive, manufacturing, healthcare, retail, food and beverages, and others. The regional segmentation includes the current and forecast demand for North America, Europe, Asia Pacific, Latin America, and the Middle East and Africa. Among these regions, Asia Pacific is expected to have the highest CAGR in the global AI in supply chain market. Increased number of patents related to AI, especially in South Korea, is expected to drive the AI in supply chain market in the Asia Pacific region. According to Korea’s Institute for Information & Communications Technology Promotion, South Korea had the third most number of patents related to artificial intelligence after the U.S. and Japan from 2005 to 2017.

The key players profiled in the global AI in supply chain market include Intel Corporation, IBM, Nvidia, Xilinx, Inc., Samsung Electronics, Microsoft Corporation, Google Inc., SAP SE, Amazon, Oracle Corporation, Cisco Systems, and LLamasoft, Inc., among others.

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