Artificial Intelligence in Supply Chain Market: Comprehensive study explores Huge Growth in Future

Advance Market Analytics published a new research publication on "Artificial Intelligence in Supply Chain Market Insights, to 2027" with 232 pages and enriched with self-explained Tables and charts in presentable format. In the Study you will find new evolving Trends, Drivers, Restraints, Opportunities generated by targeting market associated stakeholders. The growth of the Artificial Intelligence in Supply Chain market was mainly driven by the increasing R&D spending across the world.

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Some of the key players profiled in the study are: Deutsche Post AG (DHL Group) (Germany), Alphabet Inc. (Google) (United States), SUPPLY DYNAMICS (United States), Coupa Software Inc. (United States), LeanDNA (United States), Element AI Inc. (Canada), Verusen (United States), ClearMetal (United States), Blue Yonder Group, Inc. (United States), Manhattan Associates (United States), E2open, LLC. (United States).

Scope of the Report of Artificial Intelligence in Supply Chain
Artificial Intelligence (A.I.) is bringing big reforms and revolution in Supply Chain Management (SCM) practices. There is increasing exploration, research and development carried out to integrate complex web of production and distribution through A.I. tools. The primary motive of introducing A.I. in the supply chain being optimizing operations, reducing costs, and saving time. A.I. in supply chain promises better warehouse and inventory efficiency, cost efficiency, and increased customer satisfaction. With the emergence of many new A.I. startups and global tech giants like Google and Baidu investing 20 and 30 Billion USD each year in A.I. with 90% of this funds primarily infused in research and development of A.I. alone. Thus this industry has huge prospects in the coming decade with the A.I. revolution already started.

In 2021, Google, Global tech and A.I. giant has announced a strategic alliance with J.B. Hunt Transport Services, Inc., the market leader in transportation logistics in North America. The two signed a strategic alliance to accelerate next and innovate in the next generate digital supply chain platform. Both the companies look at combining their synergies and expertise through their innovative products such as Google's Data Cloud, and J.B. Hunt 360. The two companies look at enabling A.I., and Machine learning tools to enhance logistics and supply chain management.

The titled segments and sub-section of the market are illuminated below:
by Application (Operational Procurement, Supply Chain Planning, Warehouse Management, Autonomous Vehicles, Big Data and Analytics, Supplier Relationship Management, Others), End Users (Retail, Manufacturing, Pharmaceutical and Healthcare, Aerospace, Food and Beverages, Automotive, Others), Technology (Machine Learning (MP), Natural Language Processing (NLP), Context-Aware Computing, Others), Offerings (Software, Services)

Opportunities:
Integration of Artificial Intelligence with Machine Learning and Block Chain Technology
Autonomous Vehicles is one of the Biggest Opportunities of the Decade Due to Intense Research and Development as well as Investments in this Field
With Increased Unification of Data, Big Data Analytics Provides Great Prospectus

Market Trends:
Increased Focus on Innovation and Research of Automated Vehicles
Application of BlockChain Along with A.I. has Increasingly Practiced by the Major Players in the Industry

Market Drivers:
Rise of E-Commerce Industry
A.I. Help in Reducing and Optimizing the Operational and Shipping Cost
Efficient Inventory Management
Artificial Intelligence can Enhance Material and Human Safety

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Region Included are: North America, Europe, Asia Pacific, Oceania, South America, Middle East & Africa

Country Level Break-Up: United States, Canada, Mexico, Brazil, Argentina, Colombia, Chile, South Africa, Nigeria, Tunisia, Morocco, Germany, United Kingdom (UK), the Netherlands, Spain, Italy, Belgium, Austria, Turkey, Russia, France, Poland, Israel, United Arab Emirates, Qatar, Saudi Arabia, China, Japan, Taiwan, South Korea, Singapore, India, Australia and New Zealand etc.

Strategic Points Covered in Table of Content of Global Artificial Intelligence in Supply Chain Market:
Chapter 1: Introduction, market driving force product Objective of Study and Research Scope the Artificial Intelligence in Supply Chain market
Chapter 2: Exclusive Summary - the basic information of the Artificial Intelligence in Supply Chain Market.
Chapter 3: Displaying the Market Dynamics- Drivers, Trends and Challenges & Opportunities of the Artificial Intelligence in Supply Chain
Chapter 4: Presenting the Artificial Intelligence in Supply Chain Market Factor Analysis, Porters Five Forces, Supply/Value Chain, PESTEL analysis, Market Entropy, Patent/Trademark Analysis.
Chapter 5: Displaying the by Type, End User and Region/Country 2015-2020
Chapter 6: Evaluating the leading manufacturers of the Artificial Intelligence in Supply Chain market which consists of its Competitive Landscape, Peer Group Analysis, BCG Matrix & Company Profile
Chapter 7: To evaluate the market by segments, by countries and by Manufacturers/Company with revenue share and sales by key countries in these various regions (2022-2027)
Chapter 8 & 9: Displaying the Appendix, Methodology and Data Source

finally, Artificial Intelligence in Supply Chain Market is a valuable source of guidance for individuals and companies.

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