Friday, April 29, 2022

Strategic Analysis of the Global Machine Learning Chip Market, Forecast To 2026

 Machine learning is a subset of artificial intelligence which performs tasks related to AI. It is currently being approved by numerous industries everywhere in the world. This technology uses procedures and computational methods to teach processors to think about the way individuals and animals may react in a specific situation. The presentation of this machine learning procedure can be better by growing the number of trials.


The key factors that drive the growth of the global machine learning chip market are the emergence of quantum computing, growth in a number of machine learning applications, and trends in artificial intelligence (AI). However, the lack of a skilled workforce and AI Phobia hinder the market growth to a certain extent. The market has observed significant growth, owing to a rise in demand for smart homes & smart cities, a rise in efforts to make more human-like robots, and the popularity of IoT across the globe. The trend in artificial intelligence (AI), the use of machine learning in numerous applications, and the emergence of quantum computing are the factors that increase the demand for the machine learning chip market. In addition, the expansion of autonomous robots that control themselves without human interference is predicted to provide potential growth openings for the market. Each of these factors is anticipated to have a definite impact on the machine learning chip market during the forecast period.

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The market is segmented on the basis of, chip type, technology, industry vertical, and geographical region. On the basis of chip type, the market is segmented into GPU, ASIC, FPGA, CPU, and others. On the basis of technology, the global machine learning chip market is segmented into system-on-chip (SoC), system-in-package (SIP), multi-chip module, and others. By industry vertical, the machine learning chip market can be segmented into BFSI, IT & telecom, media & advertising, automotive & transportation, retail, healthcare, and others. Based on industry vertical, the BFSI segment dominated the global machine learning chip market in 2017. However, the other segment is expected to grow at the highest CAGR during the forecast period. By geographical region, the global machine learning chip market is split up into North America, Europe, Asia Pacific, Middle East & Africa, and South America. North America is expected to have the largest machine learning chip market share during the estimated period and is expected to witness significant growth owing to the presence of large manufacturing in this region. The region, along with Europe, is one of the developers in adopting new technologies, which is also one of the key factors for the high CAGR in this region.

Acquisitions and Mergers, new product introductions, investments, and corporations & developments are the key strategies adopted by market companies to ensure their growth in the machine learning chip market. The key players are Advanced Micro Devices, Inc, Wave Computing, Graphcore, Intel Corporation, Google Inc., International Business Machines (IBM) Corporation, Qualcomm Technologies, Inc., Nvidia Corporation, Taiwan Semiconductor, and XILINX Inc., Samsung Electronics (South Korea), Micron Technology (US), Qualcomm (US), are some major players in the machine learning chip market.

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The study is a source of reliable data on:
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  • North America (U.S. and Canada)
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