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AI in Edge Computing Market (Component - Hardware, Software, and Services; Technology - Natural Language Processing (NLP), Machine Learning, Machine Vision, Context Aware Processing, and Others; Application - Smart Cities, Industrial Internet of Things (IIOT), Remote Monitoring, Content Delivery, Augmented Reality (AR) and Virtual Reality (VR), and Others; End User - Manufacturing, Energy & Utilities, Healthcare, Retail, Telecommunications, Government and Defense, and Others): Global Industry Analysis, Trends, Size, Share and Forecasts to 2026

  • Published : May, 2021

  • Rep Id : ICT00239

  • Category : Electronics, ICT and Semiconductors

  • Status : Published

A recent report published by Infinium Global Research on AI in Edge Computing Market provides an in-depth analysis of segments and sub-segments in the global as well as regional AI in Edge Computing Market. The study also highlights the impact of drivers, restraints, and macro indicators on the global and regional AI in Edge Computing Market over the short term as well as long term. The report is a comprehensive presentation of trends, forecast, and dollar values of global AI in Edge Computing Market. According to the report, the global AI in Edge Computing Market is projected to grow at a CAGR of 50% over the forecast period of 2020-2026.


AI in Edge Computing Market

Market Insight

Artificial intelligence (AI) is been used across various sectors including manufacturing, healthcare, retail, telecommunications, and others. Cloud computing has played an important role in the AI revolution, as corporate activities at work have increased more than ever. While the adoption of Edge computing has increased over the past few years owing to the growing awareness among businesses to bring the technology to the devices closer to customers and better serve their needs. Furthermore, AI in Edge computing uses algorithms to process data generated by the devices at the local level. This takes the data and its processing at the closest point to the user, whether it is a computer, an IoT device, or an Edge server. In addition, AI in Edge computing eliminates the need to transmit a large amount of data and storing it in the cloud.


The growing demand for low-latency processing from various end-use industries is one of the major driving factors for the growth of the AI in Edge Computing Market. Several end-use industries demand low-latency processing in order to enhance their user experience. Moreover, the increasing adoption of automation and internet of things (IoT) devices across various industries are anticipated to boost the growth of AI in Edge Computing Market. The IoT devices use edge computing in order to carry out real-time, low-latency processing to give instant output. Using AI in Edge computing, these IoT devices reduce the costs and improve safety in terms of IoT. However, the processing and power consumption issues associated with AI in Edge computing are the major challenge for the market. Nevertheless, the growing deployment of 5G technology is anticipated to boost the market growth over the forecast period. The deployment of 5G technology networks is expected to offer greater speed and very low latency for mobile data transmission.


The ongoing COVID-19 pandemic has caused disruptions in economies. It is likely to cause supply chain chaos and ultimately force major companies and industries to rethink and adapt to the global supply chain model. Many companies have frozen their business activities, which has collaterally damaged the supply chain and the industries. However, the growth in the adoption of AI solutions is completely dependent on the growth of the industries. During the pandemic crisis, manufacturing networks have been disrupted, and thus, the growth of AI solutions also got affected negatively in such industries. On the other hand, industries such as healthcare, telecommunication, and utilities are expected to witness a moderate impact. Many factors have contributed to the disruptions in manufacturing industries. Broadly, three major factors are disrupting the manufacturing industries, namely, supply chain disruption, a shutdown of manufacturing units, and a decrease in demand amidst lockdown in many countries.


In terms of geography, the global AI in Edge Computing Market is segmented into North America, Europe, Asia Pacific, and the Rest of the World. The North America region held the largest share in the global AI in Edge Computing Market in 2019. Domination of North America in the market is mainly attributed to national strategies such as American Artificial Intelligence Initiative, which drives the United States' leadership in AI technology. Nonetheless, Asia Pacific’s performance in AI in Edge Computing Market is expected to be exceptional due to China’s adoption of the technology in its industrial operations. The rise of AI adoption in China’s manufacturing sector is propelled by favorable policies, abundant funds, and the potential for AI implementation. Moreover, the presence of several leading manufacturing industries in India and China such as steel, semiconductor, automobiles, chemicals, food processing, consumer goods, aerospace, and mining will be a key factor driving the adoption of AI technology in this region.


Segment Covered

The report on global AI in Edge Computing Market covers segments such as component, technology, application, and end user. On the basis of component, the sub-markets include hardware, software, and services. On the basis of technology, the sub-markets include natural language processing (NLP), machine learning, machine vision, context aware processing, and others. On the basis of application, the sub-markets include smart cities, industrial internet of things (IIoT), remote monitoring, content delivery, augmented reality (ar), and virtual reality (VR), and others. On the basis of end user, the sub-markets include manufacturing, energy & utilities, healthcare, retail, telecommunications, government and defense, and others.


Companies Profiled:

The report provides profiles of the companies in the market such as, Inc., IBM Corporation, Huawei Technologies Co., Ltd., Google LLC, Cisco Systems, Inc., Intel Corporation, Microsoft Corporation, Nvidia Corporation, Qualcomm Technologies, Inc., and Hewlett Packard Enterprise Development LP.


Report Highlights:

The report provides deep insights into the demand forecasts, market trends, and micro and macro indicators. In addition, this report provides insights into the factors that are driving and restraining the growth in this market. Moreover, The IGR-Growth Matrix analysis given in the report brings an insight into the investment areas that existing or new market players can consider. The report provides insights into the market using analytical tools such as Porter's five forces analysis and DRO analysis of AI in Edge Computing Market. Moreover, the study highlights current market trends and provides forecast from 2020-2026. We also have highlighted future trends in the market that will affect the demand during the forecast period. Moreover, the competitive analysis given in each regional market brings an insight into the market share of the leading players.

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