September 24, 2023

Artificial Intelligence in Supply Chain Market 2022 Size, Growth Factors

The global Artificial Intelligence in Supply Chain Market research report, published by Value Market Research, is designed to offer various market framework such as market size, portion, trends, growth path, value and factors that impact the current market dynamics over the forecast period 2022-2028. Most importantly, this report also provides the latest significant strategies adopted by major players along with their market share.

The research report also covers the comprehensive profiles of the key players in the market and an in-depth view of the competitive landscape worldwide. The major players in the artificial intelligence in supply chain market include 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.). This section consists of a holistic view of the competitive landscape that includes various strategic developments such as key mergers & acquisitions, future capacities, partnerships, financial overviews, collaborations, new product developments, new product launches, and other developments.

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Market Dynamics

The surge in the internet penetration rate, especially in developing economies, the increasing emphasis on performance as well as working efficiency of organizations and the rising adoption of advanced technologies such as artificial intelligence by small and medium-scale enterprises are the major factors influencing artificial intelligence in supply chain market growth. Moreover, the demand for greater visibility and transparency in supply chain data and processes has significantly grown the adoption of AI technology. Furthermore, the growth of the global AI in supply chain market is primarily driven by a worldwide increase in internet users and smart devices, increased awareness of artificial intelligence, big data and analytics, government digitization initiatives, and adoption of computer vision technology across several vertical industries. However, a lack of technological expertise and data privacy concerns may hamper the market growth.

The research report covers Porter’s Five Forces Model, Market Attractiveness Analysis, and Value Chain analysis. These tools help to get a clear picture of the industry’s structure and evaluate the competition attractiveness at a global level. Additionally, these tools also give an inclusive assessment of each segment in the global market of artificial intelligence in supply chain. The growth and trends of artificial intelligence in supply chain industry provide a holistic approach to this study.

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Market Segmentation

This section of the artificial intelligence in supply chain market report provides detailed data on the segments at country and regional level, thereby assisting the strategist in identifying the target demographics for the respective product or services with the upcoming opportunities.

By Application

  • Fleet Management
  • Supply Chain Planning
  • Warehouse Management
  • Virtual Assistant
  • Others

By End-User

  • Automotive
  • Retail
  • Consumer-Packaged Goods
  • Food And Beverages
  • Others

Regional Analysis

This section covers the regional outlook, which accentuates current and future demand for the Artificial Intelligence in Supply Chain market across North America, Europe, Asia-Pacific, Latin America, and Middle East & Africa. Further, the report focuses on demand, estimation, and forecast for individual application segments across all the prominent regions.

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