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Artificial Intelligence (AI) in Supply Chain Market Specifications, Analysis Forecast 2019 to 2023Artificial Intelligence in Supply Chain Market, By Component (Software, Network, Hardware, FPGA, GPU, ASIC), by End-Users (Automotive, Retail, Manufacturing), by Technology (Machine Learning, Natural Language Processing) – Global Forecast till 2023 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 2019-2023. 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. Request Free Sample Report @ https://www.marketresearchfuture.com/sample_request/7233 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. 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 Artificial Intelligence (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. Regional analysis Market Research Future (MRFR) has covered following countries in regional analysis - U.S, Canada and Mexico AI in Supply Chain Market in North America. Germany, U.K, France, Spain, and Italy AI in Supply Chain Market in Europe. China, Japan, India, and Singapore, in Asia-Pacific. The Middle East & Africa and South America AI in Supply Chain Market in the Rest of the world. North America is leading the AI in Supply Chain Market in 2017, followed by Asia-Pacific and Europe, respectively. Technological advancement, highly developed infrastructure, and growing technical expertise in artificial intelligence technology are some key factors fueling the integration of AI based solutions in supply chain of the industries in the region. US is the leading market among Canada and Mexico. Developing market of e-commerce and increasing market growth of retail industry is developing a demand for advanced solutions for logistics and warehouse management. Further, presence of key players such as Amazon, IBM Corporation, and Microsoft corporation among others are increasing the market potential of AI based supply chain in North America. Asia-Pacific AI in supply chain market is projected to grow with fastest growing CAGR during forecast period. Increasing market penetration of E-commerce supported by increasing trend of online purchase and developing network infrastructure & digital technology are some key factors driving the market growth of AI in supply chain in the region. Also, increasing adoption of machine learning and natural language processing technology by technology developers to serve rising & custom requirements of manufacturing, retail and automotive industry applications is further fueling the market potential of AI in supply chain in the Asia-Pacific region. Check Discount @ https://www.marketresearchfuture.com/check-discount/7233 Intended Audience • Technology, service, and solution providers • Information Technology management • Government • Research Institutes • Consultants/advisory firms • AI system integrators • Value-Added Resellers (VARs) • Strategic business partners TABLE OF CONTENTS 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 Continued…… LIST OF TABLES Table 1 Artificial Intelligence (AI) In Supply Chain Market, By Region, 2019–2023 Table 2 North America: Artificial Intelligence (AI) In Supply Chain Market, By Country, 2019–2023 Table 3 Europe: Artificial Intelligence (AI) In Supply Chain Market, By Country, 2019–2023 Table 4 Asia-Pacific: Artificial Intelligence (AI) In Supply Chain Market, By Country, 2019–2023 Table 5 Rest Of The World: Artificial Intelligence (AI) In Supply Chain Market, By Country, 2019–2023 Continued……. Get More Information @ https://www.marketresearchfuture.com/press-release/artificial-intelligence-in-supply-chain-market LIST OF FIGURES FIGURE 1 Global Artificial Intelligence (AI) In Supply Chain Market Segmentation FIGURE 2 Forecast Methodology FIGURE 3 Porter’s Five Forces Analysis Of Global Artificial Intelligence (AI) In Supply Chain Market FIGURE 4 Value Chain/Supply Chain Of Global Artificial Intelligence (AI) In Supply Chain Market FIGURE 5 Share Of Global Artificial Intelligence (AI) In Supply Chain Market In 2017, By Country (In %) Continued……. About Market Research Future: At Market Research Future (MRFR), we enable our customers to unravel the complexity of various industries through our Cooked Research Report (CRR), Half-Cooked Research Reports (HCRR), Raw Research Reports (3R), Continuous-Feed Research (CFR), and Market Research & Consulting Services. MRFR team have supreme objective to provide the optimum quality market research and intelligence services to our clients. Our market research studies by Components, Application, Logistics and market players for global, regional, and country level market segments, enable our clients to see more, know more, and do more, which help to answer all their most important questions. In order to stay updated with technology and work process of the industry, MRFR often plans & conducts meet with the industry experts and industrial visits for its research analyst members Contact: Market Research Future Office No. 528, Amanora Chambers Magarpatta Road, Hadapsar, Pune - 411028 Maharashtra, India +1 646 845 9312 Email: [email protected] As a community-building service, TMCnet allows user submitted content which is not always proofed by TMCnet editors. 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