Information and Communication Technology Artificial Intelligence in Supply Chain Market is projected to grow up to 56% CAGR during ...

Artificial Intelligence in Supply Chain Market is projected to grow up to 56% CAGR during the forecasting period 2021-2027.

Artificial Intelligence (AI) technology allows machines to learn, record, and simulate human knowledge in order to develop activities and options based on the information given. Artificial intelligence (AI) is perfectly adapted to substituting human labour and running machines without the need for a human operator. This feature is a primary driver of AI adoption in the logistics business. Huge amounts of data must be managed in the supply chain and logistics industry. Advanced computing and coding capabilities have improved the robots' ability to learn data processing in a visible and accessible manner, which improves productivity. The study identifies the important factors influencing the worldwide artificial intelligence in supply chain market's growth. The report's inclusion of drivers and restraints aids in understanding the various key variables that are directly or indirectly affecting market growth. Trends and opportunities, on the other hand, provide information on the most recent market innovation. The paper also includes a geographical analysis. The report also includes a competitive landscape and segmentation. Because of the presence of developed economies such as the United States and Canada, which are focusing on improving existing supply chain solutions, high adoption of advanced technologies, and the presence of major players, the Artificial Intelligence in Supply Chain Market in North America is expected to grow rapidly. The report's goal is to provide industry stakeholders with a complete insight of the Artificial Intelligence in Supply Chain Market. A simple language analysis of complicated data is used to present the historical and current status of the market, and also anticipated size of the market and developments in the research.

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Key Driving Factors: The Global Artificial Intelligence in Supply Chain Market is Growing Due to Promising Government Initiatives and Policies in Developing Countries.

Almost every player in the supply chain business, including public firms and individual suppliers, is currently impacted by an ever-growing set of government laws. However, there are a number of barriers to the adoption of effective supply chain information solutions in poor countries. As a result, governments are taking a number of steps and investing heavily in raising knowledge of modern technology and incorporating them into company operations. Such investments enable businesses to meet their digital transformation goals while providing excellent service to their customers.

Opportunity: Based on current market patterns, it is reasonable to conclude that the AI technology market has a bright future. Important commercial advancements are taking place, particularly in the supply chain business. According to all current forecasts, the demand for automation systems and solutions for commercial and business reasons will skyrocket in the next years. Artificial Intelligence (AI) in supply chain market size would benefit from advancements in 5G network infrastructure in numerous places around the world. Machine learning (ML), natural language processing (NLP), computer vision, context-aware computing, and other innovations will provide the sector with huge growth prospects.

This report offers the major market player’s profiles, such as  Intel (US), NVIDIA (US), Xilinx (US), Samsung (South Korea), Micron(US), IBM (US), Google (US), Microsoft (US), and Amazon (US).

Based on Application:  The AI in the 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. The growing demand for improved factory scheduling and production planning, as well as the expanding agility and optimization of supply chain decision-making, can be attributed to the expansion of this industry. Furthermore, automating existing processes and workflows to rethink the supply chain planning model is helping to drive this segment's growth.

The Artificial Intelligence in Supply Chain Market report has been categorized as below

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

  • North America

  •  Europe

  • Asia Pacific

  • Rest of World

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Published Date : September-2021