Albany, NY -- (SBWIRE) -- 10/15/2018 -- In order to do so, the report studies the drivers and restraints shaping the trajectory of the global deep chipset market. It also uses current and historical figures to find out the size of the market and its growth pace going into the future.

The report finds that the global deep learning chipset market would likely rise at a phenomenal 24.7% CAGR from 2017 to 2025. At this pace, the market which was worth US$150.17 mn in 2015 will likely rise to US$1.264 bn by 2025-end. The phenomenal growth is being driven mainly by tremendous progress in machine learning algorithms and improvements in deep learning chipsets. Deep learning chipset facilitate swift storage of information, greater computing power, and parallelization. This has led to their swift uptake in the healthcare and automotive sectors.

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In order to study the global deep learning chipset market in depth, the report segments it based on different parameters. For instance, depending upon type it classifies the market into central processing units (CPUs), graphics processing units (GPUs), field programmable gate arrays (FPGAs), and application specific integrated circuits (ASICs), among others. Among those, the FPGA and ASICs are currently grossing most of the revenue in the market because of their super sophisticated algorithms and faster processors. In fact, the ASIC product segment is expected to rise at a greater than average CAGR.

Currently, the CPU is the most widespread computer component that processes instructions coming from the software and hardware of computer devices. But by 2025, the report predicts the graphics processing units (GPUs) to become a dominant chipset performing alongside CPU for high end gaming, deep learning, analytics, and engineering application.

Depending upon the capacity to compute, the report segments the global deep learning chipset market into high and low. Some of the key end use segments in the market are automotive, electronics, healthcare, industrial and aerospace and defense.

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Geographically, the global deep learning chipset market is currently being led by North America. This is mainly on account of the presence of several startups in the region that are into research and development of AI technology. Going forward, Asia Pacific deep learning chipset market is set to soar powered by India, China, and Japan.

Some of the prominent participants in the global deep learning chipset market are Intel, NVDIA, IBM, CEVA, Qualcomm, Google, and ARM. The report studies their product offerings, sales and revenues, market shares, and prospects going forward. It also leverages market-leading analytical tools to understand the pitfalls and opportunities awaiting players in the upcoming years.

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