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Artificial Intelligence In Supply Chain Market size worth $ 14.3 Billion, Globally, by 2028 at 20.17% CAGR: Verified Market Research®
[January 10, 2022]

Artificial Intelligence In Supply Chain Market size worth $ 14.3 Billion, Globally, by 2028 at 20.17% CAGR: Verified Market Research®

AI based solutions which includes end-to-end transparency, demand-forecasting models, dynamic planning optimization, integrated business planning, and automation of the physical flow, and other factors will lead the growth in Supply Chain Industry.

JERSEY CITY, N.J., Jan. 10, 2022 /PRNewswire/ -- Verified Market Research recently published a report, "Artificial Intelligence In Supply Chain Market" By Application (Fleet Management, Supply Chain Planning, Warehouse Management, Virtual Assistant, and Others), By End-User (Automotive, Retail, Consumer-packaged Goods, Food and Beverages, and Others), and By Geography. According to Verified Market Research, the Global Artificial Intelligence In Supply Chain Market size was valued at USD 4.8 Billion in 2020 and is projected to reach USD 14.3 Billion by 2028, growing at a CAGR of 20.17% from 2021 to 2028.

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202 - Pages

126 – Tables

37 – Figures

Global Artificial Intelligence In Supply Chain Market Overview

Artificial intelligence is growing at a fast pace when it denotes global logistics and supply chain management. According to the executives from the transportation industry, fields go through a significant transformation. As evolution is happening in technologies like artificial intelligence, machine learning, and alike new technologies is said to hold the potential to bring in disturbance and lead innovation inside these industries. Artificial intelligence has been equipped with computing techniques that support selecting large quantities of data from logistics and supply chain

AI has been used in several end-use applications where companies can operate without human supervision. The machinery and equipment which are AI-enabled can work effectively by acquiring human abilities. Supply chains in manufacturing are quickly adapting AI technologies as part of their digitization strategies. AI in supply chains helps in organizing and analyzing data, which helps decision-making problems, ranging from logistics to warehousing. Such AI-enabled applications in the manufacturing industry are expected to improve efficiency and aid in saving time. The utilization of computerized reasoning in supply chain management exhibited more subtleties with common sense models from Amazon and Amer Sports.

Amazon is utilizing computerized reasoning procedures for web-based shopping and it has automated its warehouse. As the smart warehouses are more advanced in the operations of daily routine. Amazon has used artificial intelligence to provide customers with better satisfaction. Amer Sports is using machine learning successfully to improve the management and predictability of its supply chain. The automation process has take a big stride because of AI technologies.

Key Players

The major players in the market are IBM Corporation (U.S.), Microsoft Corporation (U.S.), Google LLC (U.S.),, Inc. (U.S.), Intel Corporation (U.S.), Nvidia Corporation (U.S.), Oracle Corporation (U.S.), Samsung (South Korea), LLamasoft, Inc. (U.S.), SAP SE (Germany), General Electric (U.S.), Deutsche Post DHL Group (Germany), Xilinx, Inc. (U.S.).

Verified Market Research has segmented the Global Artificial Intelligence In Supply Chain Market On the basis of Application, End-User, and Geography.

  • Artificial Intelligence In Supply Chain Market, By Application
    • Fleet Management
    • Supply Chain Planning
    • Warehouse Management
    • Virtual Assistant
    • Others
  • Artificial Intelligence In Supply Chain Market, By End-User
    • Automotive
    • Retail
    • Consumer-packaged Goods
    • Food and Beverages
    • Others
  • Artificial Intelligence In Supply Chain Market by Geography
    • North America
      • U.S
      • Canada
      • Mexico
    • Europe
      • Germany
      • France
      • U.K
      • Rest of Europe
    • Asia Pacific
      • China
      • Japan
      • India
      • Rest of Asia Pacific
    • ROW
      • Middle East & Africa
      • Latin America

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