Demand for machine learning chips has been growing at a rapid pace. Primary reason for this is increasing integration of machine learning technology with the large data volumes being generated from business enterprises. In the present scenario, the demand for machine learning chips is highest in the North America region. The region accounts for 53% of the global machine learning chips demand. In terms of chip types, the GPU chips account for the largest share of the overall market. However, others like FPGA (field programmable gate arrays) and ASIC (application-specific integrated circuits) would witness a relatively faster growth during the next six years.
“As the machine learning chips market progresses, the demand for machine learning chips would continue to rise. However, enhancing the functionality of these chips in order to meet the end-user requirements would be the key focus of market players”.
Machine Learning Chips Market by Sales (Billion Units), 2017
The detailed research study provides qualitative and quantitative analysis of the very market. Machine learning chips market has been analyzed from demand as well as supply side. The demand side analysis covers market revenue as well as sales volume across regions and further, across all the major countries. The supply side analysis covers regional production volume and capacity analysis. The geographical analysis done emphasizes on each of the major countries across North America, Europe, Asia Pacific, Middle East, Africa and Latin America.
Some of the major players operating in the machine learning chips market are AMD (Advanced Micro Devices) (Advanced Micro Devices, Inc), Google, Inc., Intel Corporation, NVIDIA (NVIDIA Corporation), Baidu, Bitmain Technologies (BitMain Technologies Holding Company), Qualcomm (Qualcomm Technologies, Inc.), Amazon (Amazon.com, Inc.), Xilinx ( XILINX INC.), and Samsung among the others.
By Chip Type
Market By Geography