The global demand for Artificial Intelligence in Supply Chain Market is presumed to reach the market size of nearly USD 57.86 MN by 2028 from USD 3.7 MN in 2021 with a CAGR of 48.1% under the study period 2022 - 2028.
Artificial Intelligence in supply chain automate processes such as allocating resources, assigning work to people, etc. Artificial Intelligence in supply chain has numerous applications, including extracting information, data analysis, supply & demand planning, and autonomous vehicle management. Artificial Intelligence in supply chain can also access warehouse procedures to improve product sending, receiving, storing, picking, and management. Artificial intelligence helps improve the overall supply chain performance by using cognitive predictions and recommendations on optimal actions.
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.
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.
- Fleet Management
- Supply Chain Planning
- Warehouse Management
- Virtual Assistant
- Consumer-Packaged Goods
- Food And Beverages
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.
Global Artificial Intelligence in Supply Chain Market Share by Region (Representative Graph)
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.), Amazon.com, 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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