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

 

By Technology

  • Machine Learning
  • Computer Vision
  • Natural Language Processing

 

By End User

  • Manufacturing
  • Food & Beverages
  • Healthcare
  • Automotive
  • Aerospace
  • Retail
  • Consumer-Packaged Goods

 

By Region

  • North America
  • Latin America
  • Europe
  • Asia Pacific
  • Middle East & Africa

 

Key Questions Addressed by the Report

  • What are the Key Opportunities in Global Artificial intelligence in Supply Chain Management Market?
  • What will be the growth rate from 2019 to 2030?
  • 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?

 

 

Global Artificial intelligence in Supply Chain Management Market TOC

 

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

8Global 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 (2020-2030)
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

10EuropeArtificial intelligence in Supply Chain Management Market Analysis and Forecast (2020-2030)
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

10.54. Rest of Europe

11Asia Pacific Artificial intelligence in Supply Chain Management Market Analysis and Forecast (2020-2030)
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

12Latin America Artificial intelligence in Supply Chain Management Market Analysis and Forecast (2020-2030)
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

13Middle East Artificial intelligence in Supply Chain Management Market Analysis and Forecast (2020-2030)
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

14Competitive Analysis
14.1 Competition Dashboard
14.2 Market share Analysis of Top Vendors
14.3 Key Development Strategies

15Company Profiles

15.1 3M

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