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54.82% CAGR growth by 2023 in Hybrid Memory Cube (HMC) Market| Major Vendors - MICRON TECHNOLOGIES INC., INTEL CORPORATION, XILINX INC., FUJITSU LTD, SEMTECH CORPORATION, OPEN SILICON INC., OMNIPHY, TEKSTART LLC, amongst others

01-22-2019 07:43 PM CET | IT, New Media & Software

Press release from: Market Prognosis

Market Analysis:

Asia-Pacific to Show Highest Growth Rate
Japan, Korea, and China claim to be one of the prominent hubs of semiconductor manufacturing systems. Industries like retail, healthcare, IT, and telecommunication in the region are in dire need of advanced and fast data processing systems, owing to the increasing consumer base and data traffic.

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HMC is considered as a technological revolution, representing a paradigm shift from the current memory architectures. It is redefining memory by advancing past the conventional DRAM system. The growing need for high-performance computing catering to specific demands is expected to increase the demand for HMC. Moreover, it provides improvements in performance, breaking through the memory wall, and enabling dramatic performance and bandwidth improvements. The storage industry is a segment that includes products & services designed to assist large organizations with saving and retrieving digital information and can surely benefit from HMC technology facilitating faster computing processes.

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Market Segments:
Hybrid Memory Cube (HMC) Market is segmented by:
1. End User: Enterprise Storage, Telecommunication & Networking, Others
2. Geography: North America, South America, Europe, Asia Pacific, Middle East & Africa

Key Developments in the Market
•April 2017 - Intel launched its Optane Memory line for solid-state drives. Optane Memory is designed to accelerate storage subsystems on compatible machines to improve transfer speed and reduce latency.

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About Market Prognosis
We at Market Prognosis believe in giving a crystal clear view of market dynamics for achieving success in today's complex and competitive marketplace through our quantitative & qualitative research methods.
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