The new Artificial Intelligence in Supply Chain Market report offers a comprehensive study of the current scenario of the market including major market dynamics. Also, it highlights the in-depth marketing research with the newest trends, drivers, and segments with reference to regional and country. Further, this report profiles top key players and analyze their market share, strategic development, and other development across the world.
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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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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Artificial intelligence in supply chain market is a rise in demand for greater visibility and transparency in the supply chain and logistics data maintained by the companies and hence this factor will be the driving factor for the growth of the market.
Artificial Intelligence stores high amount of data and information and hence to avoid traditional data monitoring artificial intelligence in supply chain will be the opportunity factor for the market.The lack of workforce and the increasing cost for the same is one of the most important factor for driving the market towards adoption of artificial intelligence in the supply chain market.
The artificial intelligence requires coding which will be restraining factor for the market growth as the skilled workforce which are specialised in coding are required.Artificial intelligence in supply chain market is expected to reach USD 46.22 million by 2027 at a CAGR of 8.1% in the forecast period of 2020 to 2027.
Data Bridge Market Research report on artificial intelligence in supply chain market provides analysis and insights regarding the various factors expected to be prevalent throughout the forecasted period while providing their impacts on the market’s growth.This Artificial Intelligence in Supply Chain Market research report intensely analyses the potential of the market with respect to current scenario and the future prospects by considering several industry aspects of Cardinal Health industry.
The report also recognizes and analyses the rising trends along with major drivers, challenges and opportunities in the market.
This Artificial Intelligence in Supply Chain Market report provides major statistics on the market status of global and regional manufacturers and is a helpful source of assistance and direction for companies and individuals interested in Healthcare industry.
Artificial Intelligence in Supply Chain Market stores high amount of data and information and hence to avoid traditional data monitoring artificial intelligence in supply chain will be the opportunity factor for the market.The lack of workforce and the increasing cost for the same is one of the most important factor for driving the market towards adoption of artificial intelligence in the supply chain market.
The artificial intelligence requires coding which will be restraining factor for the market growth as the skilled workforce which are specialised in coding are required.Artificial intelligence in supply chain market is expected to reach USD 46.22 million by 2027 at a CAGR of 8.1% in the forecast period of 2020 to 2027.
Data Bridge Market Research report on artificial intelligence in supply chain market provides analysis and insights regarding the various factors expected to be prevalent throughout the forecasted period while providing their impacts on the market’s growth.
Click Here to Get Sample Report of Artificial Intelligence in Supply Chain Market @https://www.databridgemarketresearch.com/request-a-sample/?dbmr=global-artificial-intelligence-in-supply-chain-marketMarket Drivers and Restraints:Based on technology, artificial intelligence in supply chain market has been segmented into machine learning, natural language processing, context-aware computing and computer vision.On the basis of application, artificial intelligence in supply chain market has been segmented fleet management, supply chain planning, risk management, warehouse management, virtual assistant, freight brokerage and others.On the basis of industry, artificial intelligence in supply chain market has been segmented automotive, aerospace, manufacturing, retail, healthcare, consumer-packaged goods and food & beverages.The major players covered in the Artificial Intelligence in Supply Chain MarketThe major players covered in the artificial intelligence in supply chain market report are Amazon, ClearMetal Inc., Deutsche Post AG DHL, FedEx, General Electric, Google LLC, IBM Corporation, Intel Corporation, LLamasoft Inc., Micron Technology, Microsoft Corporation, NVIDIA Corporation, Oracle Corporation, SAP, Samsung, Xilinx, Fraight AI, C.H.
Robinson, E2open, Relex Solution, Presenso, Cainiao Network, Splice Machine, Logility, among other domestic and global players.
Market share data is available for global, North America, Europe, Asia-Pacific (APAC), Middle East and Africa (MEA) and South America separately.
