Artificial Intelligence in Supply Chain Market Competitive Landscape and Highlighted Key Acquisitions 2023 | Top Key Players - IBM, Nvidia, Intel, Xilinx, Samsung Electronics, Microsoft, Micron Technology, SAP SE, Oracle, Logility, Amazon and Others

Market Synopsis

According to MRFR analysis, global AI in supply chain market was valued at USD 545 million in 2017 and is estimated to reach market value of USD 3-4 billion by 2023 growing with 37 % CAGR during forecast period 2018-2023. Increasing trend of online purchase, increasing market growth of E-commerce, increasing growth in big data technology, and high demand for advanced solutions for transparency in supply chain process by key giants such as Amazon, eBay, IBM corporation and others are the prime driving factors for the market. However, lack of technical expertise is expected to restraint the market growth of AI in supply chain in the coming years.

Increasing adoption of cloud-based software modules by supply chain industry, rising trend of deploying automation solutions by industries into their operations, and growth in industry 4.0 are some of the trends which are creating high potential opportunities for the market in coming years. Whereas, data privacy and lack of connected systems in sectors such as retail and logistics are some of the key challenges faced by the market.

Increasing adoption of connected devices due to advent of IoT has resulted into generation of vast amount of data on the network. According to the statistics published by World Economic forum, 2.5 quintillion bytes of data is being generated every day and around 1 trillion sensors are going to be connected to network by 2022. Development in computing capabilities, and rapidly developing artificial intelligence technologies are taking industrial and commercial market to a new era of technology. Organizations are adopting smart technologies to automate their processes in order to handle such vast amount of generated data. This is also supporting them in making critical business decisions easily, improving their business process by reducing cost, and gaining deeper insights of their distribution and supply channels across the globe.

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Key players

Market Research Future has identified following key players in AI in supply chain market- Nvidia Corporation, IBM corporation, Intel Corporation, Xilinx, Inc., Samsung Electronics, Microsoft Corporation, Micron Technology, SAP SE, Oracle Corporation, Logility, Inc., Amazon, and LLamasoft, Inc. among others.

Segmentation

The global AI in Supply Chain Market is segmented into component, technology, deployment, application, end-users and region.
By component, the market is segmented into hardware, and software. Hardware segment is further classified into processors, memory, and network. Processors segment is further sub-segmented into CPU, GPU, FPGA, and ASIC.
By technology, the market is segmented into machine learning, natural language processing, context-aware computing, and computer vision.
By deployment, the market is sub-categorized into on-premise, on-cloud, and hybrid.
By application, the market is classified into fleet management, warehouse management, supply chain planning, logistics & shipping, supplier relationship management, risk management among others.
By end-users, the market is sub-divided into aerospace, automotive, retail, manufacturing, food & beverage, consumer electronics, and others.
By region, the market is segmented into North America, Europe, Asia-Pacific, and Rest of the world.

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Brief TOC of Artificial Intelligence in Supply Chain Market

1 Executive Summary
2 Scope Of The Report
2.1 Market Definition
2.2 Scope Of The Study
2.3 Research Objectives
2.4 Markets Structure
3 Research Methodology
4 Market Dynamics
4.1 Market Drivers
4.1.1 Increasing Market Growth Of E-Commerce
4.1.2 Increasing Growth In Big Data Technology
4.1.3 High Demand For Advanced Solutions For Transparency In Supply Chain Process
4.2 Market Restraints
4.2.1 Lack Of Technical Expertise
4.3 Market Opportunities
4.3.1 Increasing Adoption Of Cloud-Based Software Modules By Supply Chain Industry
4.3.2 Rising Trend Of Deploying Automation Solutions By Industries Into Their Operations
4.3.3 Growth In Industry 4.0
4.4 Market Challenges
4.4.1 Data Privacy
4.4.2 Lack Of Connected Systems In Sectors Such As Retail And Logistics
4.5 Value Chain Analysis
4.6 Porter’s Five Forces Analysis
4.6.1 Threat Of New Entrants
4.6.2 Bargaining Power Of Buyers
4.6.3 Threat Of Substitutes
4.6.4 Segment Rivalry
4.6.5 Bargaining Power Of Suppliers
5 Market Alerts
5.1 Impact Analysis Of Emerging Technologies
5.2 Use Cases
5.2.1 Chatbots
5.2.2 Autonomous Vehicles
5.2.3 Supplier Relationship Management
5.3 Government/Industry Norms And Regulations
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List Of Tables

Table 1 Global Cloud Microservices Market, By Component, 2018–2023
Table 2 Global Cloud Microservices Market, By Organization Size, 2018–2023
Table 3 Global Cloud Microservices Market, By Deployment, 2018–2023
Table 4 Global Cloud Microservices Market, By Vertical, 2018–2023
Table 5 Global Cloud Microservices Market, By Region, 2018–2023
Table 6 North America: Cloud Microservices Market, By Country, 2018–2023
Table 7 North America Cloud Microservices, Market, By Component, 2018–2023
Table 8 North America Cloud Microservices, Market, By Organization Size, 2018–2023
Table 9 North America Cloud Microservices, Market, By Deployment, 2018–2023
Table 10 North America Cloud Microservices Market, By Vertical, 2018–2023
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