Deep Learning Chip Market to Flourish with an Impressive CAGR during 2021-2028

Deep Learning Chip Market

According to the most recent report by Emergen Research, the worldwide deep learning chip market is anticipated to reach a market size of USD 27.75 billion by 2028 and exhibit a strong revenue CAGR. During the forecast period, a sizable portion of the growth of the worldwide deep learning chip market is anticipated to be driven by rising usage of quantum computing. To execute tasks requiring artificial intelligence (AI), deep learning is a subset of machine learning, which is a subset of AI. Deep learning, which functions like the brain, has been permeating a number of global businesses. Software that enables computer vision, voice recognition, speech synthesis, machine translation, gaming, drug discovery, and robotics is used to implement this technology. Deep learning chips are customised silicon chips that use machine learning and artificial intelligence (AI) technologies.

The emergence of quantum computing and improved deep learning chip implementation in robots are the main drivers of the global industry. Additionally, it is projected that the development of autonomous robots—robots that create and manage themselves on their own—will present market expansion prospects. However, one of the main market constraints is the lack of skilled labour. Deep learning chips are taking over the majority of jobs like testing, bug fixing, cloud installation, and others; yet, these tasks cannot be delivered without some necessary skill sets.

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Key Highlights of Report

Since GPUs can perform several computations at once, there has been an increase in the use of them to create deep learning chips. This is one of the main factors influencing the graphics processing unit (GPU) segment’s current rate of revenue growth. Over the forecast period, this market segment is anticipated to record a significantly high revenue CAGR of 30.9%.

The system-in-package (SIP) market is anticipated to increase significantly in terms of revenue during the projected period due to growing use of deep learning chips, since system-in-package offers advantages at the level of printed circuit board (PCB).

Due to the increasing use of artificial intelligence in consumer electronics devices, the consumer electronics segment is anticipated to dominate in terms of market share throughout the forecast period.

The market in North America is anticipated to increase as a result of the rising use of deep learning in sectors including automotive, IT & telecommunications, and healthcare, as well as for image recognition, data mining, and signal recognition.

Key market participants include Google LLC, Advanced Micro Devices, Inc., Intel Corporation, Bitmain Technologies Ltd., NVIDIA Corporation,, Inc., Samsung Electronics Co., Ltd., Qualcomm Incorporated, Huawei Technologies Co., Ltd, and Xilinx, Inc.

Emergen Research has segmented the global deep learning chip market on the basis of chip type, technology, end-use, and region.

Chip Type Outlook (Revenue, USD Billion; 2021–2028)

  • Graphics Processing Unit (GPU)
  • Application-Specific Integrated Circuit (ASIC)
  • Field-Programmable Gate Array (FPGA)
  • Central Processing Unit (CPU)
  • Others

Technology Outlook (Revenue, USD Billion; 2021–2028)

  • System-In-Package (SIP)
  • System-On-Chip (SoC)
  • Multi-Chip Module
  • Others

End-use Outlook (Revenue, USD Billion; 2021–2028)

  • Automotive
  • Healthcare
  • BFSI
  • Industrial
  • Consumer Electronics
  • IT & Telecommunication
  • Others

Regional Outlook (Revenue, USD Billion; 2021–2028)

  • North America
    1. U.S.
    2. Canada
    3. Mexico
  • Europe
    1. Germany
    2. U.K.
    3. France
    4. BENELUX
    5. Rest of Europe
  • Asia Pacific
    1. China
    2. Japan
    3. South Korea
    4. India
    5. Rest of APAC
  • Latin America
    1. Brazil
    2. Rest of LATAM
  • Middle East & Africa
    1. Saudi Arabia
    2. UAE
    3. Rest of MEA

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At Emergen Research, we believe in advancing with technology. We are growing market research and strategy consulting company with an exhaustive knowledge base of cutting-edge and potentially market-disrupting technologies that are predicted to become more prevalent in the coming decade.

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