Global Artificial Intelligence In Supply Chain Market Report 2024: Size, Drivers, And Top Segments
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The artificial intelligence in supply chain market expanded from $3.39 billion in 2023 to $5 billion in 2024, with a 47.6% CAGR, driven by demand forecasting and sustainability focus. Forecasts suggest growth to $21.35 billion by 2028, fueled by digital twins and RPA adoption, with trends in machine learning and supply chain resilience.
The surge in internet users is driving the growth of artificial intelligence in the supply chain market. Increased internet usage allows businesses to access information quickly, predict demand patterns, and reduce inventory costs using AI. For instance, in July 2023, Statistics Canada reported a rise in internet usage among Canadians, boosting AI adoption in supply chains.
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What Are The Key Trends That Influence Artificial Intelligence In Supply Chain Market Share Analysis?
Technological advancements are shaping trends in artificial intelligence within the supply chain industry. Leading companies are leveraging advanced technologies to sustain their market presence. For instance, in April 2023, project44, a US-based software firm, launched Movement GPT, the first AI supply chain assistant. Movement GPT harnesses generative AI to potentially transform supply chains into autonomous, self-optimizing systems. This breakthrough enhances supply chain visibility with a natural language interface, empowering users to manage shipments and access critical data seamlessly.
Which Market Players Are Driving Growth In The Artificial Intelligence In Supply Chain Market?
Major companies operating in the artificial intelligence in supply chain market report are Amazon.com Inc., Google LLC, Samsung Electronics Co Ltd., Microsoft Corporation, DHL Group, FedEx Corporation, General Electric Company, Intel Corporation, The International Business Machines Corp, Oracle Corporation, SAP SE, Micron Technology Inc., NVIDIA Corporation, C.H. Robinson Worldwide Inc., Havi Logistics AS, Cainiao Smart Logistics Network Limited, Zebra Technologies Corporation, Flexport Inc., Xilinx Inc., Echo Global Logistics Inc., Epicor Software Corporation, Blue Yonder Inc., Symbotic LLC, E2open LLC., C3.AI Inc, Relex Solutions Private Limited, DataRobot Inc, Splice Machine Inc., Covariant Inc, Llamasoft Inc.
How Is The Global Artificial Intelligence In Supply Chain Market Segmented?
The artificial intelligence in supply chain market covered in this report is segmented –
1) By Offering: Hardware, Software, Services
2) By Technology: Machine Learning, Natural Language Processing, Context-Aware Computing, Computer Vision
3) By Application: Fleet Management, Supply Chain Planning, Warehouse Management, Virtual Assistant, Risk Management, Freight Brokerage, Other Applications
4) By End-User: Automotive, Aerospace, Manufacturing, Retail, Healthcare, Consumer-Packaged Goods, Food And Beverages
Read The Full Artificial Intelligence In Supply Chain Market Report Here
The Artificial Intelligence In Supply Chain Global Market Report 2024 provides an overview of the artificial intelligence in supply chainmarket for the time series: historic years (2010 – 2021) and ten years forecast (2023 – 2032). The artificial intelligence in supply chain market forecast analyzes artificial intelligence in supply chain market size, artificial intelligence in supply chain market share, leading competitor and their market positions.
The Table Of Content For The Artificial Intelligence In Supply Chain Market Include
1. Artificial Intelligence In Supply Chain Market Executive Summary
2. Artificial Intelligence In Supply Chain Market Segments
3. Artificial Intelligence In Supply Chain Market Size And Template Market Growth Rate
4. Key Artificial Intelligence In Supply Chain Market Trends
5. Major Artificial Intelligence In Supply Chain Market Drivers
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25. Key Mergers And Acquisitions In The Artificial Intelligence In Supply Chain Market
26. Top Artificial Intelligence In Supply Chain Companies
27. Artificial Intelligence In Supply Chain Market Opportunities And Strategies
28. Artificial Intelligence In Supply Chain Market, Conclusions And Recommendations
29. Appendix
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