1 / 4

Artificial Intelligence in Supply Chain Market Dynamics, Segments And Supply Demand 2019 – 2024

Artificial intelligence is an imitation of human intelligence in programmed machines. Supply chain is a series of processes involved in the manufacturing and distribution of any commodity. Artificial intelligence mainly used in supply chain manahement for supporting end-to-end visibility, building better reaction time, and improving the efficiency of current system and delivering better outcomes.

prithvi19
Download Presentation

Artificial Intelligence in Supply Chain Market Dynamics, Segments And Supply Demand 2019 – 2024

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Artificial Intelligence in Supply Chain Markets Research 2024: Region Wise Analysis of Top Players in Market by Its Types and Application Artificial Intelligence in Supply Chain Market: Summary The Global Artificial Intelligence in Supply Chain Market is estimated to reach USD 4.8 Billion in 2024 at a CAGR of 41.6%. Growing volumes of data in supply chain and adoption of AI to optimize supply chain is expected to drive the artificial intelligence in supply chain market during the forecast period. However, high initial capital cost is expected to restrain the market during the forecast period. Automate processes with AI is expected to become an opportunity for artificial intelligence in supply chain market. Artificial intelligence is an imitation of human intelligence in programmed machines. Supply chain is a series of processes involved in the manufacturing and distribution of any commodity. Artificial intelligence mainly used in supply chain management for supporting end-to-end visibility, building better reaction time, and improving the efficiency of current system and delivering better outcomes. Some key players in artificial intelligence in supply chain market are NVIDIA Corporation, IBM Corporation, Amazon.com, Inc., Microsoft Corporation, andIntel Corporation among others. Ask for The Report Sample PDF Here

  2. Artificial Intelligence in Supply Chain Market: Trends, Segmentation & Drivers This market research report offers a comprehensive analysis of key market trends in the global market. It includes detailed discussion on historical market trends, current market dynamics, consumer landscape, growth opportunities and challenges backed by factful feedbacks. On the basis of hardware, the market is segmented into hardware, software,andservices. By technology, the market is segmented intomachine learning, natural language processing, and computer vision. By application, the market is segmented into operational procurement, supply chain planning, warehouse management, supplier planningandothers. By end use industry, the market is segmented into consumer goods, industrial, energy and power, aerospace and others. The regional analysis is covered under five major regions such as North America, South America, Europe, Asia-Pacific,and theMiddle East and Africa, with individual country-level analysis. relationship management, demand Request Report Methodology On Competition On Global Market Here Artificial Intelligence in Supply Chain Market: Report Segmentation For the scope of report, In-depth segmentation is offered by Forencis Research Artificial Intelligence in Supply Chain Market by Component Hardware  Memory  Network  Processor  CPU  GPU  TPU  FPGA  VPUS  ASIC  Software  Artificial Intelligence Platform  Deep Learning Software  Chatbots  Machine Learning Software  Services  Deployment and Integration  On Cloud  On Premise  Maintenance and Support 

  3. Artificial Intelligence in Supply Chain Market by Technology Machine Learning  Natural Language Processing  Computer Vision Artificial Intelligence in Supply Chain Market by Application  Operational Procurement  Supply Chain Planning  Warehouse Management  Supplier Relationship Management  Demand Planning  Others Artificial Intelligence in Supply Chain Market by End Use Industry  Consumer Goods  Industrial  Energy & Power  Aerospace  Others Artificial Intelligence in Supply Chain Market by Region  Asia-Pacific (China, India, Japan, South Korea, Australia, Rest of Asia-Pacific)  North America (US, Canada, Mexico,)  Europe (Germany, France, Italy, UK, The Netherlands, Rest of Europe)  Middle East and Africa (Saudi Arabia, UAE, Rest of Middle East & Africa)  South America (Brazil, Argentina, Rest of South America) Purchase this Premium Industry Research Report with Analysis @ https://www.forencisresearch.com/artificial-intelligence-in-supply-chain-market-purchase-now/  About Forencis Research Forencis Research is a B2B market research, intelligence and advisory firm engaging in market research and consulting services across leading industries, globally. Our robust and meticulous research team provides high growth and niche syndicated reports, customized reports and consulting reports to the diverse global fortune clientele and intellectual institutions. Forencis Research database is a constantly evolving pool of reports and white paper studies which helps companies to foster accelerated revenue growth in global and regional markets. Forencis Research delivers market research and consulting reports on high growth markets to help companies dominate their competition and set themselves apart by attaining increased revenue growth. To enable exclusive insights around the target market, Forencis Research employs robust research Methodology & Design which includes data acquisition, data synthesis and data correlation, through Primary and Secondary Research. Through the obtained data, Top-down and bottom-up methods

  4. are exercised to attain and verify data sanity within the entire market. This market data is yet again correlated with Forencis Research’s internal database before presenting it in any of our final publications. These methods of data correlation and amalgamation benefit us to put forward accurate market estimates enabling our clients to transform their business, markets and most importantly their “REVENUES”. Contact Us FORENCIS RESEARCH Phone: +1 (720) 306 9020 Email: info@forencisresearch.com For more market research insights, please visit https://www.forencisresearch.com

More Related