/Deep Learning Chip Market Size, Share and Industry Trends by 2025 – Global Market is Growing at 39.9% CAGR (via Qpute.com)
Deep Learning Chip Market Size, Share and Industry Trends by 2025 - Global Market is Growing at 39.9% CAGR

Deep Learning Chip Market Size, Share and Industry Trends by 2025 – Global Market is Growing at 39.9% CAGR (via Qpute.com)

Deep Learning Chip Market

The global deep learning chip market was valued at $1,975 million in 2017, and is projected to reach $29,368.0 million by 2025, growing at a CAGR of 39.9% from 2018 to 2025. At present, North America dominates the market, followed by Europe. In 2017, U.S. dominated the North America market and UK led the overall market in Europe. However, in the Asia-Pacific region, China currently dominates the market.

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Emergence of quantum computing and enhanced implementation of deep learning chips in robotics drive the growth of the global deep learning chip market considerably. In addition, emergence of autonomous robotics-robots that develop and control themselves autonomously-is anticipated to provide potential growth opportunities for the market. However, dearth of skilled workforce is one of the major restraints of the market. Most of the tasks, such as testing, bug fixing, cloud implementation, and others, are taken over by deep learning chips; however, delivery of such tasks lacks essential skillsets.

Increase in Demand for Smart Homes and Smart Cities

AI provides impetus to initiate smart city programs in developing countries, such as India. Tools and technologies that are artificially intelligent possess a massive potential to transform interconnected digital homes and smart cities. Furthermore, creation of a chip that embeds an inbuilt AI network has emerged as an opportunity for the deep learning chip market.

Rise in Investments in AI Startups

Multiple countries, especially the U.S., witness a considerable growth in tech start-ups every year, which are backed by various venture capitalists and venture capitals, thus increasing the market scope. Various key players have been innovating to build a dedicated platform; for instance, Mythic’s platform has an advantage of processing  digital/analog calculations in memory, which results in enhanced performance, accuracy, and power life. Furthermore, surge in need to integrate video surveillance and AI and rise in government spending for cyber security solutions that are integrated with real-time analytics and AI are anticipated to boost the growth of the deep learning chipset market.

Emergence of Quantum Computing

Quantum computers take seconds to complete a calculation that would otherwise take thousands of years; for instance, Google has a quantum computer that is 100 million times faster than today’s computing systems. Quantum computers are an innovative transformation of artificial intelligence, big data, and machine learning. Thus, emergence of quantum computing has fueled the growth of the deep learning chipset market. Furthermore, processor performance has improved around five times since Intel’s introduction of the Pentium processors.

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Firstly, because of the smaller size of transistors, which has collapsed from 800 nm to 16 nm. This enables to create processors with billions of transistors, which operate in the gigahertz range and increase the computational power drastically. Secondly, owing to the improved graphic processing units (GPUs) over the traditional central processing units (CPUs). Hence, a single processor performs complex calculations in seconds, which during the 90s would have required multiple lifetimes. With the help of the internet’s size and scale, deep learning handles large data sets at a very low cost. These factors have been helping to drive the growth of the global deep learning chip industry.

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