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      At 41.50% CAGR, Artificial Intelligence In Supply Chain Market Size is Expected to Reach USD 12798.62 Billion by 2028 Says Zion Market Research | Global AI In Supply Chain Industry Trends, Share, Analysis & Forecast Report

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      Zion Market Research

      30 May, 2022, 15:00 GMT

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      NEW YORK, May 30, 2022 /PRNewswire/ -- As per Zion Market Research study, The global Artificial Intelligence (AI) In Supply Chain market was worth around USD 1594.50 billion in 2021 and is estimated to grow to about USD 1594.50 billion by 2028, with a compound annual growth rate (CAGR) of approximately  41.50 percent over the forecast period. The report analyzes the digital remittance market's drivers, restraints/challenges, and the effect they have on the demands during the projection period. In addition, the report explores emerging opportunities in the digital remittance market.

      Key Industry Insights & Finding of the Artificial Intelligence (AI) In Supply Chain Market Reports:

      • As per the analysis shared by our research analyst, the Artificial Intelligence (AI) In Supply Chain Market is expected to grow annually at a CAGR of around 41.50 % (2022-2028).
      • Through the primary research, it was established that the Artificial Intelligence (AI) In Supply Chain Market was valued approximately USD 1594.50 Billion in 2021 and is projected to reach to roughly USD 12798.62 Billion by 2028.
      • Increased adoption of deep learning and natural language processing (NLP) technology for automotive, retail, and manufacturing applications in APAC is driving market expansion.
      • The presence of important participants in the artificial intelligence ecosystem in the supply chain ecosystem leads to an increase in artificial intelligence adoption in APAC.

      Zion Market Research published the latest report titled as  "Artificial Intelligence (AI) In Supply Chain Market By Offering( Hardware, Software, Services), By Technology(Machine Learning, Natural Language Processing, Context-aware Computing, Computer Vision), By Application(Fleet Management, Supply Chain Planning, Warehouse Management, Virtual Assistant, Risk Management, Freight Brokerage, Others ), By End-user Industry( Automotive, Aerospace, Manufacturing, Retail, Healthcare, Consumer-packaged Goods ,Food and Beverages, Others), By Region – Global and Regional Industry Overview, Market Intelligence, Comprehensive Analysis, Historical Data and Forecasts 2022 – 2028." into their research database.

      Artificial Intelligence (AI) In Supply Chain Market: Overview

      Artificial intelligence (AI) is a technology that allows machines, software, and systems to compete in some ways with human intelligence and behaviour. The heart of AI is a system that analyses data and performs various jobs using complex algorithms. Data extraction, data analysis, supply and demand forecasting, and the operation of autonomous vehicles are just a few of the applications it has in the supply chain. It can also gain access to warehouse procedures in order to optimise product shipping, receiving, storing, picking, and management. The improvement of logistics is accomplished through optimising warehousing and distribution processes.

      By employing cognitive predictions and recommendations on optimal actions, artificial intelligence in supply chain helps to improve overall supply chain performance. The increasing digitization of economies, particularly emerging nations, will emerge as a major market development driver. The the increasing generation of large amounts of data and information for greater visibility and transparency in supply chain and logistics data, rising adoption by small and medium-sized businesses, and the strengthening IT industry in developing economies such as India and China, will exacerbate the market's growth. Other factors boosting the market's growth include the rapid prevalence of cloud-based services and an ever-growing set of favourable government laws.

      Get a Free Sample Report with All Related Graphs & Charts (with COVID 19 Impact Analysis): https://www.zionmarketresearch.com/sample/artificial-intelligence-in-supply-chain-market

      Our Free Sample Report Includes:

      • 2022 Updated Report Introduction, Overview, and In-depth industry analysis
      • COVID-19 Pandemic Outbreak Impact Analysis Included
      • 183 + Pages Research Report (Inclusion of Updated Research)
      • Provide Chapter-wise guidance on Request
      • 2022 Updated Regional Analysis with Graphical Representation of Size, Share & Trends
      • Includes Updated List of tables & figures
      • Updated Report Includes Top Market Players with their Business Strategy, Sales Volume, and Revenue Analysis
      • Zion Market Research methodology

      Industry Dynamics:

      Artificial Intelligence (AI) In Supply Chain Market: Growth Drivers

      • Computer vision ready to create an impact on the global artificial intelligence to drive global market growth.

      The use of computer vision technology in supply chain activities across several industrial verticals is fast rising. During the 2022-2028, this category is expected to increase at the fastest rate. Many end-use industries throughout the world have begun to incorporate computer vision as a revolutionary technology into their operations. Soaring labour costs, more awareness of the benefits of AI solutions, increased demand for anti-theft solutions, and the availability of affordable robotics/automation are some of the primary factors driving the computer vision technologies segment's quickest growth.

      Artificial Intelligence (AI) In Supply Chain Market: Restraints

      • System Complexities will act as growth to hamper the market growth.

      AI systems are typically cloud-based, which necessitates a large amount of bandwidth to fuel the system. Operators may also require specialised gear to access AI capabilities, and the cost of AI-specific technology can be too expensive for many supply chain partners.

      Directly Purchase a Copy of the Report @ https://www.zionmarketresearch.com/buynow/su/artificial-intelligence-in-supply-chain-market

      Artificial Intelligence (AI) In Supply Chain Market: Challenges

      • The operational costs involved may give rise to challenges for its growth.

      Each of the various processors in an AI-controlled machine need maintenance and replacement from time to time. The problem is that the operating investment could be rather large due to the prospective cost and energy involved. Manufacturers would also have to replace these, which would raise utility bills and have a direct influence on operating costs.

      Global Artificial Intelligence (AI) In Supply Chain Market: Segmentation

      • The global Artificial Intelligence (AI) In Supply Chain market is segregated based on category, hospital capacity, location, and region.

      The AI in supply chain market is divided into four categories based on technology: machine learning, computer vision, natural language processing, and context-aware computing. Machine learning accounted for the largest share of the overall AI in supply chain market. This expansion can be due to rising demand for AI-based intelligent solutions, increased government initiatives, and AI solutions' capacity to efficiently handle and analyse huge data, as well as quickly scan, parse, and react to anomalies.

      The AI in supply chain market is divided into supply chain planning, warehouse management, fleet management, virtual assistant, risk management, inventory management, and planning & logistics, based on application. Supply chain planning is having the greatest proportion of the overall AI in supply chain market. The growing demand for improved production planning and factory scheduling, as well as the expanding agility and optimization of supply chain decision-making is  contributed to the expansion of the AI industry.

      Get More Insight before Buying@ : https://www.zionmarketresearch.com/inquiry/artificial-intelligence-in-supply-chain-market

      List of Key Players of Artificial Intelligence (AI) In Supply Chain Market:

      • Intel (US)
      • NVIDIA (US)
      • Xilinx (US)
      • Samsung Electronics (South Korea)
      • Micron Technology (US)
      • IBM (US)
      • Microsoft (US)
      • Amazon (US).

      Key questions answered in this report:

      • What are the growth rate forecast and market size for Artificial Intelligence (AI) In Supply Chain Market?
      • What are the key driving factors propelling the Artificial Intelligence (AI) In Supply Chain Market forward?
      • What are the most important companies in the Artificial Intelligence (AI) In Supply Chain Market Industry?
      • What segments does the Artificial Intelligence (AI) In Supply Chain Market cover?
      • How can I receive a free copy of the Artificial Intelligence (AI) In Supply Chain Market sample report and company profiles?

      Report Scope:

      Report Attribute

      Details

      Market size value in 2021

      USD 1594.50 Billion

      Revenue forecast in 2028

      USD 12798.62 Billion

      Growth Rate

      CAGR of almost 41.50 % 2022-2028

      Base Year

      2020

      Historic Years

      2016 - 2021

      Forecast Years

      2022 - 2028

      Segments Covered

      By Product Type, By Application, and By End Use

      Forecast Units

      Value (USD Billion), and Volume (Units)

      Quantitative Units

      Revenue in USD million/billion and CAGR from 2022 to 2028

      Regions Covered

      North America, Europe, Asia Pacific, Latin America, and Middle East & Africa, and Rest of World

      Countries Covered

      U.S., Canada, Mexico, U.K., Germany, France, Italy, Spain, China, India, Japan, South Korea, Brazil, Argentina, GCC Countries, and South Africa, among others

      Companies Covered

      Intel (US), NVIDIA (US), Xilinx (US), Samsung Electronics (South Korea), Micron Technology (US), IBM (US), Microsoft (US), and Amazon (US).

      Report Coverage

      Market growth drivers, restraints, opportunities, Porter's five forces analysis, PEST analysis, value chain analysis, regulatory landscape, market attractiveness analysis by segments and region, company market share analysis, and COVID-19 impact analysis.

      Customization Scope

      Avail customized purchase options to meet your exact research needs.  

      https://www.zionmarketresearch.com/custom/3481

      Free Brochure: https://www.zionmarketresearch.com/requestbrochure/artificial-intelligence-in-supply-chain-market

      Recent Developments:

      • November 2021- Microsoft will launch new supply chain and manufacturing technologies. The Microsoft Cloud for Manufacturing combines Microsoft and our partners' greatest outcome-driven solutions and capabilities to help our customers speed time-to-value in a comprehensive, scalable approach. We're creating a flywheel of innovation by connecting the Microsoft stack's intelligent, integrated cloud, and edge capabilities to the highest-value manufacturing scenarios, allowing businesses to increase asset and frontline worker productivity in safe and secure factories, enable remote selling and always-on service, and unlock cloud-based innovation—all while maintaining the highest levels of trust, compliance, privacy, and transparency.

      Regional Dominance:

      • Increased adoption of deep learning and natural language processing.

      During the 2022-2028, the market in APAC is expected to develop at the fastest CAGR. Increased adoption of deep learning and natural language processing (NLP) technology for automotive, retail, and manufacturing applications in APAC is driving market expansion. Furthermore, the presence of important participants in the artificial intelligence ecosystem in the supply chain ecosystem leads to an increase in artificial intelligence adoption in APAC. The other reason for growing demand is This is due to the region's large population of young, tech-savvy people and the growing prevalence of the internet of things (IoT).

      Global Artificial Intelligence (AI) In Supply Chain Market is segmented as follows:

      Artificial Intelligence (AI) In Supply Chain Market: By Offering Outlook (2022-2028)

      • Hardware
      • Software
      • Services

      Artificial Intelligence (AI) In Supply Chain Market: By Technology Outlook (2022-2028)

      • Machine Learning
      • Natural Language Processing
      • Context-aware Computing
      • Computer Vision

      Artificial Intelligence (AI) In Supply Chain Market: By Application Outlook (2022-2028)

      • Fleet Management
      • Supply Chain Planning
      • Warehouse Management
      • Virtual Assistant
      • Risk Management
      • Freight Brokerage
      • Others

      Artificial Intelligence (AI) In Supply Chain Market: By End-user Industry Outlook (2022-2028)

      • Automotive
      • Aerospace
      • Manufacturing
      • Retail
      • Healthcare
      • Consumer-packaged Goods
      • Food and Beverages
      • Others

      Artificial Intelligence (AI) In Supply Chain Market: By Region Outlook (2022-2028)

      North America

      • The U.S.
      • Canada

      Europe

      • France
      • The UK
      • Spain
      • Germany
      • Italy
      • Rest of Europe

      Asia Pacific

      • China
      • Japan
      • India
      • South Korea
      • Southeast Asia
      • Rest of Asia Pacific

      Latin America

      • Brazil
      • Mexico
      • Rest of Latin America

      Middle East & Africa

      • GCC
      • South Africa
      • Rest of Middle East & Africa

      Press Release For Artificial Intelligence (AI) In Supply Chain Market: https://www.zionmarketresearch.com/news/global-automated-breast-ultrasound-systems-market

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      Browse through Zion Market Research's coverage of the Global Medical Device Industry

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