According to the latest report by IMARC Group, "Global Machine Learning Chip Market Size, Share, Growth, Industry Trends, Opportunity and Forecast 2022-2027", the global machine learning chip market size reached US$ 5.86 Billion in 2021. Looking forward, IMARC Group expects the market to reach a value of US$ 33.02 Billion by 2027 exhibiting a CAGR of 31.20% during 2022-2027.

Machine learning (ML) refers to a branch of artificial intelligence (AI) that makes decisions through experiential learning instead of programming. ML chips are installed to improve design, tool flows, and intellectual property cores. They consist of three components, namely networking, storage, and computing. Some of the commonly available ML chips include application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), and graphics processing units (GPUs). They help automate device tuning and routing to enhance power, performance, and area (PPA) outcomes through ML, analytics, and optimization. As a result, ML chips find extensive applications in the manufacturing, automotive, media and advertising, transportation, and finance industries for error prevention and cost-saving purposes.

Note: We are regularly tracking the direct effect of COVID-19 on the market, along with the indirect influence of associated industries. These observations will be integrated into the report.

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Machine Learning Chip Market Trends and Drivers:

The global machine learning chip market is primarily driven by the rising utilization of AI in numerous industry verticals. Moreover, the shifting inclination from central processing units (CPUs) toward graphics processing units (GPUs) for simultaneously performing various complex tasks due to rapid expansion in the gaming industry is positively influencing market growth. Additionally, the increasing demand for smart homes and the rising number of machine learning (ML) applications are other major growth-inducing factors.

Besides this, the surging adoption of smart infrastructure in corporate organizations and the launch of smart city projects have catalyzed market growth. Other factors, including the emergence of quantum computing and the Internet-of-Things (IoT), increasing development of human-like robots, and rising digitization, are also anticipated to propel the market growth in the coming years.

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Global Machine Learning Chip Market Report Segmentation:

Competitive Landscape:

The competitive landscape of the market has been studied in the report with the detailed profiles of the key players operating in the market.

Advanced Micro Devices Inc., Amazon Web Services Inc. (Amazon.com Inc.), Cerebras Inc., Google LLC, Graphcore, Intel Corporation, International Business Machines Corporation, NVIDIA Corporation, Qualcomm Incorporated, Samsung Electronics Co. Ltd. and Taiwan Semiconductor Manufacturing Company Limited.

The report has segmented the market on the basis of region, technology, chip type and industry vertical.

Breakup by Technology:

  • System-on-Chip (SoC)
  • System-in-Package
  • Multi-chip Module
  • Others

Breakup by Chip Type:

  • GPU
  • ASIC
  • FPGA
  • CPU
  • Others

Breakup by Industry Vertical:

  • BFSI
  • IT and Telecom
  • Media and Advertising
  • Retail
  • Healthcare
  • Automotive
  • Others

Breakup by Geography:

  • North America: (United States, Canada)
  • Asia Pacific: (China, Japan, India, South Korea, Australia, Indonesia, Others)
  • Europe: (Germany, France, United Kingdom, Italy, Spain, Russia, Others)
  • Latin America: (Brazil, Mexico, Others)
  • Middle East and Africa

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