The Worldwide Artificial Intelligence in Supply Chain Industry is Expected to Reach $10 Billion by 2027 – GlobeNewswire

Dublin, June 14, 2022 (GLOBE NEWSWIRE) -- The "Global Artificial Intelligence in Supply Chain Market (2022-2027) by Offering, Technology, Application, Industry, Geography, Competitive Analysis, and the Impact of Covid-19 with Ansoff Analysis" report has been added to ResearchAndMarkets.com's offering.

The Global Artificial Intelligence in Supply Chain Market is estimated to be USD 3.3 Bn in 2022 and is projected to reach USD 10.49 Bn by 2027, growing at a CAGR of 26.02%.

Market Dynamics

Market dynamics are forces that impact the prices and behaviors of the Global Artificial Intelligence in Supply Chain Market stakeholders. These forces create pricing signals which result from the changes in the supply and demand curves for a given product or service. Forces of Market Dynamics may be related to macro-economic and micro-economic factors. There are dynamic market forces other than price, demand, and supply. Human emotions can also drive decisions, influence the market, and create price signals.

As the market dynamics impact the supply and demand curves, decision-makers aim to determine the best way to use various financial tools to stem various strategies for speeding the growth and reducing the risks.

Company Profiles

The report provides a detailed analysis of the competitors in the market. It covers the financial performance analysis for the publicly listed companies in the market. The report also offers detailed information on the companies' recent development and competitive scenario. Some of the companies covered in this report are CH Robinson, FedEx, Google, Koch Industries, Microsoft, NVIDIA, Oracle, Splice Machine, Xilinx, etc.

Countries Studied

Competitive Quadrant

The report includes Competitive Quadrant, a proprietary tool to analyze and evaluate the position of companies based on their Industry Position score and Market Performance score. The tool uses various factors for categorizing the players into four categories. Some of these factors considered for analysis are financial performance over the last 3 years, growth strategies, innovation score, new product launches, investments, growth in market share, etc.

Ansoff Analysis

The report presents a detailed Ansoff matrix analysis for the Global Artificial Intelligence in Supply Chain Market. Ansoff Matrix, also known as Product/Market Expansion Grid, is a strategic tool used to design strategies for the growth of the company. The matrix can be used to evaluate approaches in four strategies viz. Market Development, Market Penetration, Product Development and Diversification. The matrix is also used for risk analysis to understand the risk involved with each approach.

The report analyses the Global Artificial Intelligence in Supply Chain Market using the Ansoff Matrix to provide the best approaches a company can take to improve its market position.

Based on the SWOT analysis conducted on the industry and industry players, the analyst has devised suitable strategies for market growth.

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Key Topics Covered:

1 Report Description

2 Research Methodology

3 Executive Summary

4 Market Dynamics4.1 Drivers4.1.1 Increasing Focus on Customer-Centric Marketing Strategies4.1.2 Increasing Use of Digital Network and Social Media for Marketing4.1.3 AI Benefits in Customer Acquisition and Lead Generation4.2 Restraints4.2.1 Lack of AI Professionals4.3 Opportunities4.3.1 Growing Cloud-Based Applications Adoption4.3.2 Increasing Scope in Marketing Analysis4.4 Challenges4.4.1 Slow Digitization Rate Affecting in Emerging Markets

5 Market Analysis5.1 Regulatory Scenario5.2 Porter's Five Forces Analysis5.3 Impact of COVID-195.4 Ansoff Matrix Analysis

6 Global Artificial Intelligence in Supply Chain Market, By Offering6.1 Introduction6.2 Hardware6.2.1 Memory6.2.2 Network6.2.3 Processors6.3 Services6.3.1 Deployment & Integration6.3.2 Support & Maintenance6.4 Software

7 Global Artificial Intelligence in Supply Chain Market, By Technology7.1 Introduction7.2 Computer Vision7.3 Context-Aware Computing7.4 Machine Learning7.4.1 Reinforcement Learning7.4.2 Supervised Learning7.4.3 Unsupervised Learning7.5 Natural Language Processing (NLP)

8 Global Artificial Intelligence in Supply Chain Market, By Application8.1 Introduction8.2 Fleet Management8.3 Freight Brokerage8.4 Risk Management8.5 Supply Chain Planning8.6 Virtual Assistant8.7 Warehouse Management

9 Global Artificial Intelligence in Supply Chain Market, By Industry9.1 Introduction9.2 Aerospace9.3 Automotive9.4 Consumer-Packaged Goods9.5 Food & Beverages9.6 Healthcare9.7 Manufacturing9.8 Retail

10 Americas' Artificial Intelligence in Supply Chain Market10.1 Introduction10.2 Argentina10.3 Brazil10.4 Canada10.5 Chile10.6 Colombia10.7 Mexico10.8 Peru10.9 United States10.10 Rest of Americas

11 Europe's Artificial Intelligence in Supply Chain Market11.1 Introduction11.2 Austria11.3 Belgium11.4 Denmark11.5 Finland11.6 France11.7 Germany11.8 Italy11.9 Netherlands11.10 Norway11.11 Poland11.12 Russia11.13 Spain11.14 Sweden11.15 Switzerland11.16 United Kingdom11.17 Rest of Europe

12 Middle East and Africa's Artificial Intelligence in Supply Chain Market12.1 Introduction12.2 Egypt12.3 Israel12.4 Qatar12.5 Saudi Arabia12.6 South Africa12.7 United Arab Emirates12.8 Rest of MEA

13 APAC's Artificial Intelligence in Supply Chain Market13.1 Introduction13.2 Australia13.3 Bangladesh13.4 China13.5 India13.6 Indonesia13.7 Japan13.8 Malaysia13.9 Philippines13.10 Singapore13.11 South Korea13.12 Sri Lanka13.13 Thailand13.14 Taiwan13.15 Rest of Asia-Pacific

14 Competitive Landscape14.1 Competitive Quadrant14.2 Market Share Analysis14.3 Strategic Initiatives14.3.1 M&A and Investments14.3.2 Partnerships and Collaborations14.3.3 Product Developments and Improvements

15 Company Profiles 15.1 Alibaba Group Holding15.2 Amazoncom15.3 American Software15.4 CH Robinson15.5 C315.6 Deutsche Post15.7 E2open15.8 Echo GlobalLogistics15.9 FedEx 15.10 Google 15.11 HAVI Group15.12 Intel 15.13 IBM15.14 Koch Industries 15.15 Microsoft 15.16 NVIDIA15.17 Oracle 15.18 Project4415.19 Relex Solution15.20 Samsung Electronics15.21 SAP America15.22 Splice Machine15.23 TTEC Holdings15.24 Xilinx

16 Appendix

For more information about this report visit https://www.researchandmarkets.com/r/jiguzx

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The Worldwide Artificial Intelligence in Supply Chain Industry is Expected to Reach $10 Billion by 2027 - GlobeNewswire