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The global machine learning chip market was valued at US$ 5.86 Billion in 2021.
We expect the global machine learning chip market to exhibit a CAGR of 31.20% during 2022-2027.
The emerging trend of device miniaturization, along with the rising consumer inclination towards
graphics processing units (GPUs) to simultaneously perform various complex tasks, is primarily
driving the global machine learning chip market.
The sudden outbreak of the COVID-19 pandemic has led to the growing integration of machine
learning chip with robotic technologies to reduce human interventions and enhance operational
Based on the technology, the global machine learning chip market can be categorized into System-
on-Chip (SoC), system-in-package, multi-chip module, and others. Currently, System-on-Chip (SoC)
technology exhibits a clear dominance in the market.
Based on the chip type, the global machine learning chip market has been segmented into GPU,
ASIC, FPGA, CPU, and others. Among these, GPU chip currently represents the largest market share.
Based on the industry vertical, the global machine learning chip market can be bifurcated into BFSI,
IT and telecom, media and advertising, retail, healthcare, automotive, and others. Currently, the BFSI
industry accounts for the majority of the global market share.
On a regional level, the market has been classified into North America, Europe, Asia-Pacific, Middle
East and Africa, and Latin America, where North America currently dominates the global market.
Some of the major players in the global machine learning chip market include 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
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