Global Artificial Intelligence in Supply Chain Market size was valued at US$ 1.58 Bn. in 2020 and the total revenue is expected to grow at 45.5 % through 2021 to 2027, reaching nearly US$ 21.80 Bn.
Artificial Intelligence in Supply Chain Market Overview:
The Global Artificial Intelligence in Supply Chain Market In some areas, artificial intelligence (AI) allows robots, software, and systems to compete with human intelligence and behaviour. The AI is managed by a system that reads data and uses complex algorithms to execute various tasks. Data extraction, data analysis, supply and demand planning, and autonomous vehicle management are all examples of how artificial intelligence may be applied throughout the supply chain. It can also access warehouse procedures to optimise shipping, receiving, storage, picking, and management of products. It is possible to improve logistics by optimising warehouse operations and distribution. AI-based solutions can help companies enhance supply-chain management performance and quality. End-to-end visibility, demand forecasting methodologies, dynamic planning optimization, integrated business planning, and dimensional flow automation are just some of the key features.
Historical & Forecast Period:
Maximize Market Research report presents the analysis of each segment from 2021 to 2027 considering 2020 as the base year for the research. Compounded Annual Growth Rate (CAGR) for each respective segment calculated for the forecast period from 2020to 2027.
Artificial Intelligence in Supply Chain Market Overview and Dynamics:
The report covers comprehensive data on market drivers, restraints, emerging trends, and growth opportunities that can change the market dynamics of the end use industry. It provides an in-depth analysis of the Artificial Intelligence in Supply Chain Market segments which include products, applications, and competitor analysis.
One of the primary market drivers in the supply chain industry is the need for transparent and observable work techniques. Artificial intelligence (AI) has heightened public awareness of big data and analytics technology. AI autonomous data processing is widely employed in warehouse stock management, inventory management, product safety, on-time delivery, and other sectors in the logistics business. These are just a few of the main qualities driving Artificial Intelligence (AI) forward in the supply chain sector.
Furthermore, rising government requirements and initiatives promoting machine automation and AI computing are driving the market. Artificial intelligence (AI) eliminates the need for human effort, saving time and money. This operational benefit of AI in the supply chain sector is a persistent market pusher. Large corporations are advancing in the field of machine automation in order to reduce operational costs in future industries. Various Artificial Intelligence (AR) in supply chain market segments is reliant on several end-user industries and latest trends related with them. The industry is also growing, based on recent patterns.
Amazon has digitised its warehouse and employs artificial reasoning techniques for web-based purchases. Smart warehouses' day-to-day operations are growing more sophisticated. Artificial intelligence is being used by Amazon to improve customer satisfaction. Amer Sports is successfully utilising machine learning to improve supply chain management and certainty. Because of AI technologies, the automated procedure has progressed enormously.
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Segmentation:
Machine Learning, Computer Vision, Natural Language Processing, and Context-Aware Computing are the sub-segments of the Artificial Intelligence in Supply Chain market. In 2020, the Machine Learning segment had the greatest market share of %. Rising demand for AI-based intelligent solutions, increased government operations, and AI solutions' capacity to efficiently handle and analyse enormous volumes of data, as well as scan, process, and respond to anomalies quickly, are all factors contributing to this growth. In 2020, Computer Vision had the second-largest market share of percent. The use of computer vision technologies in supply chain activities is fast rising across numerous industry sectors. Increased awareness of AI's benefits, as well as the availability of automation, are driving the segment's growth.
Supply Chain Planning, Warehouse Management, Fleet Management, Virtual Assistant, Risk Management, Inventory Management, and Planning & Logistics are the sub-segments of the Artificial Intelligence in Supply Chain market. In 2020, the Supply Chain Planning sector had the greatest market share of %. The expansion of this industry can be attributed to the increased demand for improved factory scheduling and production planning, as well as the increasing agility and simplification of supply chain decision-making. Furthermore, automating existing procedures and workflows to reimagine the supply chain planning paradigm is assisting in the segment's growth.
Key Players:
• Intel Corporation
• Amazon.com, Inc.
• Google LLC
• Microsoft Corporation
• Nvidia Corporation
• Oracle Corporation
• IBM Corporation
• Samsung (South Korea)
• Lamasoft Inc.
• SAP
• General Electric
• Deutsche Post AG DHL
• Xilinx
• Micron Technology, Inc.
• FedEx
• ClearMetalInc
• C.H. Robinson
• E2open
• Relex Solution
• Presenso
• Cainiao Network
• Splice Machine
• Logility
• LLamasoft Inc.
• Micron Technology
Regional Analysis:
Regional analysis is another highly comprehensive part of the research and analysis study of the Artificial Intelligence in Supply Chain Market presented in the MMR report. Local development plans are often affected by the performance of Artificial Intelligence in Supply Chain market. Our report briefly explains all the factors, market size, growth rate, import and export in regions covering North America, Europe, Asia Pacific, Latin America, Middle East, and Africa. This research has provided market trends, key opportunities, factors affecting of particular regions, to examine the global and domestic Artificial Intelligence in Supply Chain market and these findings have been strategically presented in the report.
Competition Landscape:
Most of the key players present in the Artificial Intelligence in Supply Chain Market are focusing on mergers and acquisitions to expand their geographic presence and gain a competitive edge. Meanwhile, some of the other players are updating their existing product portfolios and adding innovative screens to keep up with the high consumer demand and generate more sales.
Key questions answered in Artificial Intelligence in Supply Chain Market report
- What was the market size of Artificial Intelligence in Supply Chain Market in 2020 and forecast up to 2027?
- Which is the largest regional Artificial Intelligence in Supply Chain Market?
- What are the major trends followed in Artificial Intelligence in Supply Chain Market across different regions?
- Who is the key Artificial Intelligence in Supply Chain Market companies leading the market?
- What are the key strategies adopted by the leading Artificial Intelligence in Supply Chain Market companies in market?
- Unique data points of this report
- Statistics on Artificial Intelligence in Supply Chain Market penetration and spending worldwide
- Recent trends across different regions in terms of adoption of Artificial Intelligence in Supply Chain Market for various end-use.
- Notable developments going on in Artificial Intelligence in Supply Chain Market
- Attractive investment proposition for segments as well as geography
- Comparative scenario for all the segments for years 2020 (actual) and 2027 (forecast)
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