
Global Artificial intelligence in Supply Chain Management Marketto 2027
Description
Global Artificial intelligence in Supply Chain Management Marketto 2027
Global Artificial intelligence in Supply Chain Management Market Size, Trends & Growth Opportunity, By Component (Hardware, Software, and Services), By Technology (Machine Learning, Computer Vision, and Natural Language Processing), By End User (Manufacturing, Food & Beverages, Healthcare, Automotive, Aerospace, Retail, and Consumer-Packaged Goods), By Region and Forecast till 2027
Global Artificial intelligence in Supply Chain Management Market
The supply chain management plays an important role in the current age of high supply needs that lead to increasing the degree of competition and demand uncertainly. The Artificial intelligence is defined as the design of computer systems which can imitate human behavioral patterns by understanding the phenomenon of human intelligence. AI in supply chain management offers to track & maintain database of suppliers & shipping.
Market Drivers
The increase in adoption of artificial intelligence in supply chain management is expected to boost the global artificial intelligence in supply chain management market growth over the forecast period. Furthermore, the growing demand for better transparency and visibility in supply chain data and processes will positively influence the market growth. Also, the increase in adoption of big data is another driving factor which is expected to propel the global artificial intelligence in supply chain management market growth during this forecast timeframe. Moreover, the growing demand for accuracy and safety in warehouses would support the growth of AI in supply chain management market. In addition, the rising demand for using AI technology in data collection & automated systems is anticipated to provide opportunity for market growth.
Market Restraint
Lack of awareness about developments in the AI technology may hamper the global artificial intelligence in supply chain market growth during this forecast timeline.
Market Segmentation
The Global Artificial intelligence in Supply Chain Management Market is segmented into component such as Hardware, Software, and Services, by technology such as Machine Learning, Computer Vision, and Natural Language Processing. Further, market is segmented into end user such as Manufacturing, Food & Beverages, Healthcare, Automotive, Aerospace, Retail, and Consumer-Packaged Goods.
Also, the Global Artificial intelligence in Supply Chain Management Market is segmented into five regions such as North America, Latin America, Europe, Asia Pacific, and Middle East & Africa.
Market Key Players
Various key players are discussed in this report such as 3M, Cisco Systems, IBM, Intel, Xilinx, Samsung Electronics, Microsoft, SAP, Oracle, LLamasoft, Inc., etc.
Market Taxonomy
By Component
Global Artificial intelligence in Supply Chain Management Market Size, Trends & Growth Opportunity, By Component (Hardware, Software, and Services), By Technology (Machine Learning, Computer Vision, and Natural Language Processing), By End User (Manufacturing, Food & Beverages, Healthcare, Automotive, Aerospace, Retail, and Consumer-Packaged Goods), By Region and Forecast till 2027
Global Artificial intelligence in Supply Chain Management Market
The supply chain management plays an important role in the current age of high supply needs that lead to increasing the degree of competition and demand uncertainly. The Artificial intelligence is defined as the design of computer systems which can imitate human behavioral patterns by understanding the phenomenon of human intelligence. AI in supply chain management offers to track & maintain database of suppliers & shipping.
Market Drivers
The increase in adoption of artificial intelligence in supply chain management is expected to boost the global artificial intelligence in supply chain management market growth over the forecast period. Furthermore, the growing demand for better transparency and visibility in supply chain data and processes will positively influence the market growth. Also, the increase in adoption of big data is another driving factor which is expected to propel the global artificial intelligence in supply chain management market growth during this forecast timeframe. Moreover, the growing demand for accuracy and safety in warehouses would support the growth of AI in supply chain management market. In addition, the rising demand for using AI technology in data collection & automated systems is anticipated to provide opportunity for market growth.
Market Restraint
Lack of awareness about developments in the AI technology may hamper the global artificial intelligence in supply chain market growth during this forecast timeline.
Market Segmentation
The Global Artificial intelligence in Supply Chain Management Market is segmented into component such as Hardware, Software, and Services, by technology such as Machine Learning, Computer Vision, and Natural Language Processing. Further, market is segmented into end user such as Manufacturing, Food & Beverages, Healthcare, Automotive, Aerospace, Retail, and Consumer-Packaged Goods.
Also, the Global Artificial intelligence in Supply Chain Management Market is segmented into five regions such as North America, Latin America, Europe, Asia Pacific, and Middle East & Africa.
Market Key Players
Various key players are discussed in this report such as 3M, Cisco Systems, IBM, Intel, Xilinx, Samsung Electronics, Microsoft, SAP, Oracle, LLamasoft, Inc., etc.
Market Taxonomy
By Component
- Hardware
- Software
- Services
- Machine Learning
- Computer Vision
- Natural Language Processing
- Manufacturing
- Food & Beverages
- Healthcare
- Automotive
- Aerospace
- Retail
- Consumer-Packaged Goods
- North America
- Latin America
- Europe
- Asia Pacific
- Middle East & Africa
- What are the Key Opportunities in Global Artificial intelligence in Supply Chain Management Market?
- What will be the growth rate from 2019 to 2027?
- Which segment/region will have highest growth?
- What are the factors that will impact/drive the Market?
- What is the competitive Landscape in the Industry?
- What is the role of key players in the value chain?
- What are the strategies adopted by key players?
Table of Contents
199 Pages
- 1 Introduction
- 1.1 Objective of the Study
- 1.2 Market Definition
- 1.3 Market Scope
- 2 Research Methodology
- 2.1 Data Mining
- 2.2 Validation
- 2.3 Primary Interviews
- 2.4 List of Data Sources
- 3 Executive Summary
- 4 Global Artificial intelligence in Supply Chain Management Market Outlook
- 4.1 Overview
- 4.2 Market Dynamics
- 4.2.1 Drivers
- 4.2.2 Restraints
- 4.2.3 Opportunities
- 4.3 Porters Five Force Model
- 4.4 Value Chain Analysis
- 5 Global Artificial intelligence in Supply Chain Management Market, By Component
- 5.1 Y-o-Y Growth Comparison, By Component
- 5.2 Global Artificial intelligence in Supply Chain Management Market Share Analysis, By Component
- 5.3 Global Artificial intelligence in Supply Chain Management Market Size and Forecast, By Component
- 5.3.1 Hardware
- 5.3.2 Software
- 5.3.3 Services
- 6 Global Artificial intelligence in Supply Chain Management Market, By Technology
- 6.1 Y-o-Y Growth Comparison, By Technology
- 6.2 Global Artificial intelligence in Supply Chain Management Market Share Analysis, By Technology
- 6.3 Global Artificial intelligence in Supply Chain Management Market Size and Forecast, By Technology
- 6.3.1 Machine Learning
- 6.3.2 Computer Vision
- 6.3.3 Natural Language Processing
- 7 Global Artificial intelligence in Supply Chain Management Market, By End User
- 7.1 Y-o-Y Growth Comparison, By End User
- 7.2 Global Artificial intelligence in Supply Chain Management Market Share Analysis, By End User
- 7.3 Global Artificial intelligence in Supply Chain Management Market Size and Forecast, By End User
- 7.3.1 Manufacturing
- 7.3.2 Food & Beverages
- 7.3.3 Healthcare
- 7.3.4 Automotive
- 7.3.5 Aerospace
- 7.3.6 Retail
- 7.3.7 Consumer-Packaged Goods
- 8 Global Artificial intelligence in Supply Chain Management Market, By Region
- 8.1 Global Artificial intelligence in Supply Chain Management Market Share Analysis, By Region
- 8.2 Global Artificial intelligence in Supply Chain Management Market Share Analysis, By Region
- 8.3 Global Artificial intelligence in Supply Chain Management Market Size and Forecast, By Region
- 9 North America Artificial intelligence in Supply Chain Management Market Analysis and Forecast (2020-2027)
- 9.1 Introduction
- 9.2 North America Artificial intelligence in Supply Chain Management Market Share Analysis, By Component
- 9.3 North America Artificial intelligence in Supply Chain Management Market Size and Forecast, By Technology
- 9.4 North America Artificial intelligence in Supply Chain Management Market Size and Forecast, By End User
- 9.5 North America Artificial intelligence in Supply Chain Management Market Size and Forecast, By Country
- 9.5.1 U.S.
- 9.5.2 Canada
- 9.5.3 Mexico
- 10 EuropeArtificial intelligence in Supply Chain Management Market Analysis and Forecast (2020-2027)
- 10.1 Introduction
- 10.2 Europe Artificial intelligence in Supply Chain Management Market Share Analysis, By Component
- 10.3 Europe Artificial intelligence in Supply Chain Management Market Size and Forecast, By Technology
- 10.4 Europe Artificial intelligence in Supply Chain Management Market Size and Forecast, By End User
- 10.5 Europe Artificial intelligence in Supply Chain Management Market Size and Forecast, By Country
- 10.5.1 Germany
- 10.5.2 France
- 10.5.3 UK
- 10.5.4 Rest of Europe
- 11 Asia Pacific Artificial intelligence in Supply Chain Management Market Analysis and Forecast (2020-2027)
- 11.1 Introduction
- 11.2 Asia Pacific Artificial intelligence in Supply Chain Management Market Share Analysis, By Component
- 11.3 Asia Pacific Artificial intelligence in Supply Chain Management Market Size and Forecast, By Technology
- 11.4 Asia Pacific Artificial intelligence in Supply Chain Management Market Size and Forecast, By End User
- 11.5 Asia Pacific Artificial intelligence in Supply Chain Management Market Size and Forecast, By Country
- 11.5.1 China
- 11.5.2 Japan
- 11.5.3 India
- 11.5.4 Rest of Asia Pacific
- 12 Latin America Artificial intelligence in Supply Chain Management Market Analysis and Forecast (2020-2027)
- 12.1 Introduction
- 12.2 Latin America Artificial intelligence in Supply Chain Management Market Share Analysis, By Component
- 12.3 Latin America Artificial intelligence in Supply Chain Management Market Size and Forecast, By Technology
- 12.4 Latin America Artificial intelligence in Supply Chain Management Market Size and Forecast, By End User
- 12.5 Latin America Artificial intelligence in Supply Chain Management Market Size and Forecast, Country
- 13 Middle East Artificial intelligence in Supply Chain Management Market Analysis and Forecast (2020-2027)
- 13.1 Introduction
- 13.2 Middle East Artificial intelligence in Supply Chain Management Market Share Analysis, By Component
- 13.3 Middle East Artificial intelligence in Supply Chain Management Market Size and Forecast, By Technology
- 13.4 Middle East Artificial intelligence in Supply Chain Management Market Size and Forecast, By End User
- 13.5 Middle East Artificial intelligence in Supply Chain Management Market Size and Forecast, By Country
- 14 Competitive Analysis
- 14.1 Competition Dashboard
- 14.2 Market share Analysis of Top Vendors
- 14.3 Key Development Strategies
- 15 Company Profiles
- 15.1 3 M
- 15.1.1 Overview
- 15.1.2 Offerings
- 15.1.3 Key Financials
- 15.1.4 Business Segment & Geographic Overview
- 15.1.5 Key Market Developments
- 15.1.6 Key Strategies
- 15.2. Cisco Systems
- 15.2.1 Overview
- 15.2.2 Offerings
- 15.2.3 Key Financials
- 15.2.4 Business Segment & Geographic Overview
- 15.2.5 Key Market Developments
- 15.2.6 Key Strategies
- 15.3. IBM
- 15.3.1 Overview
- 15.3.2 Offerings
- 15.3.3 Key Financials
- 15.3.4 Business Segment & Geographic Overview
- 15.3.5 Key Market Developments
- 15.3.6 Key Strategies
- 15.4 Intel
- 15.4.1 Overview
- 15.4.2 Offerings
- 15.4.3 Key Financials
- 15.4.4 Business Segment & Geographic Overview
- 15.4.5 Key Market Developments
- 15.4.6 Key Strategies
- 15.5 Xilinx
- 15.5.1 Overview
- 15.5.2 Offerings
- 15.5.3 Key Financials
- 15.5.4 Business Segment & Geographic Overview
- 15.5.5 Key Market Developments
- 15.5.6 Key Strategies
- 15.6 Samsung Electronics
- 15.6.1 Overview
- 15.6.2 Offerings
- 15.6.3 Key Financials
- 15.6.4 Business Segment & Geographic Overview
- 15.6.5 Key Market Developments
- 15.6.6 Key Strategies
- 15.7 Microsoft
- 15.7.1 Overview
- 15.7.2 Offerings
- 15.7.3 Key Financials
- 15.7.4 Business Segment & Geographic Overview
- 15.7.5 Key Market Developments
- 15.7.6 Key Strategies
- 15.8 SAP
- 15.8.1 Overview
- 15.8.2 Offerings
- 15.8.3 Key Financials
- 15.8.4 Business Segment & Geographic Overview
- 15.8.5 Key Market Developments
- 15.8.6 Key Strategies
- 15.9 Oracle
- 15.9.1 Overview
- 15.9.2 Offerings
- 15.9.3 Key Financials
- 15.9.4 Business Segment & Geographic Overview
- 15.9.5 Key Market Developments
- 15.9.6 Key Strategies
- 15.10 LLamasoft, Inc
- 15.10.1 Overview
- 15.10.2 Offerings
- 15.10.3 Key Financials
- 15.10.4 Business Segment & Geographic Overview
- 15.10.5 Key Market Developments
- 15.10.6 Key Strategies
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