Market Overview
The growth of technology has made human life and work culture easier. The widespread development of technologies to continue in the future generation. The increase in the adoption of major software technologies has led to the growth of the Deep Learning Industry. The usage of advanced technologies such as the IoT (Internet of Things) is uplifting the market’s growth; even the spread of urbanization in various countries has led to the rise of big companies. These companies have a large amount of stored data which can be prone to cyber-attacks and threats. Technological development has led to various applications, social media, and other service sectors. These growth factors are driving the growth rate of the Deep Learning Market. Even the increase in digital voice assistance and focus on augmented and virtual reality technologies are propelling the market. Other growth factors are development in deep learning technology, chatbots, and voice recognition application are major drivers of the market. The increased use of deep learning research applications is one of the major driving factors of the market. Deep learning technology is even essential in machine learning, management, and the field of artificial intelligence. Due to its various applications, the market is receiving huge demand worldwide.
The COVID-19 pandemic has drastically changed the state of different industrial sectors. The Deep Learning Industry has even faced economical loss during this period. As the industrial sectors and companies were shut down due to lockdown guidelines, this factor has affected the market's growth rate. But the key players are managing to tackle the situation and improve the market’s growth.
The Deep Learning Industry is estimated to register a strong CAGR of 30.60%, worth USD 17.4 Billion during the forecast period.
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Market Segmentation
The Deep Learning Market is segmented into component, application, and end-user. The market is classified into hardware, software, and service in the component segment. The hardware segment is further classified into processor, memory, and network components, and the software segment is divided into solution and platform. The application segment is sub-segmented into signal recognition, image recognition, data mining, and others. The end-user segment is considered the vast segment due to various sectors such as healthcare, automotive, security, agriculture, retail, manufacturing, law, human resource, fintech, and marketing.
Regional Analysis
The geographical distribution of the Deep Learning Industry states that the market is distributed into various regions such as North America, Europe, Asia Pacific, and the rest of the world. North American is the biggest market among the other regions due to the increased usage of deep learning application models such as image and voice recognition, signal recognition, data mining, and diagnostic purposes. Followed by North America, the Asia Pacific region is anticipated to hold the second position due to the increased rate of digitization and image and voice recognition platforms. The European Market is noticing rapid growth due to the government’s influence to implement the deep learning technology for various purposes such as data mining, surveillance, fraud detection, and healthcare diagnostics.
Industry News
The research team of Binghamton University announced that deep learning technologies have helped to improve public safety in November 2020.
According to the recent report, the researchers of IIT Madras, using a combination of deep learning and traditional machine learning techniques to develop a tool that can diagnose cancer by observing the whole slide images of the tumor.
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