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Deep Learning Chip Will Drive Next Wave of Chip Growth

leading industry players with information such as company profiles, Deep learning chip is a specialized hardware chip which acts as a brain for the device, deep learning chips have many computing cores and come with high bandwidth memory. Deep learning chips are also known as AI chips and are used for various systems such as CPUs, GPU, and ASIC among others.

The deep learning chips market is anticipated to grow in the forecast period owing to driving factors such as growing popularity of AI and enhanced application of deep learning in robotics whereas lack of technical skillset may hinder the growth of deep learning chips market. The market is likely to showcase opportunities for the robotics and automation sector.

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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.

Leading industry players with information such as company profiles, Advanced Micro Devices, Amazon Web Services, BitMain Technologies, Baidu, Google, Intel, NVIDIA, Qualcomm Technologies, Samsung Electronics, Xilinx.

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. 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).

Dearth of Skilled Workforce

AI consists of complex algorithms for its development. In addition, management of AI and automated systems is difficult at times. This requires exceptional software engineering skills and a notable experience to deal with distributed and concurrent programming or debugging with communication protocols. However, many regions, particularly the emerging economies, lack people with such skills. Hence, dearth of a skilled workforce is a prominent restraining force of the deep learning chip industry.

Increased Adoption of Deep Learning Chips in the Developing Regions

Recent developments in the emerging economies, such as China and India, across various industry verticals, which include media & advertising, finance, retail, healthcare, automotive & transportation, and others, have created a major growth potential for AI. The time and cost benefits provided by AI are the major growth factors leading to its increased adoption in the developing regions. All these factors together fuel the growth of the market.