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Source: Journal Citation ReportsTM from ClarivateTM 2022

Entrepreneurship and Sustainability Issues Open access
Journal Impact FactorTM (2022) 1.7
Journal Citation IndicatorTM (2022) 0.42
Received: 2020-03-18  |  Accepted: 2020-07-15  |  Published: 2020-12-30

Title

Market for memristors and data mining memory structures for promising smart systems


Abstract

The article examines the market for promising memristor-based memories for smart systems. The implementation of smart systems is characterized by the widespread use cyber-physical systems, predictive maintenance, AR/VR (Augmented/Virtual Reality) technologies, the Internet of Things (IoT), and Machine Learning algorithms. To stimulate their development, an increasing amount of computational resources and new data storage technologies is required. The current study aims to analyze the development of today’s memristive technologies market in the context of their influence on the development of smart systems. The authors discuss the key stages of the market’s formation and assess the possible effect of memristive technology on various spheres of society’s life. The research results show that the application of memristive technology can affect the development dynamics of both data mining and promising data storage systems. The estimates obtained demonstrate that the memristor market is highly competitive and there are a considerable number of active participants operating on it. The majority of companies expand their market presence by entering various end-user segments. The annual market growth rate will average about 80% and reach an estimate of USD 8.9 billion by 2024 and USD 13.5 billion by 2027.


Keywords

memristor market, industry digitalization, data storage, data mining, smart systems


JEL classifications

D40 , O14 , O32 , M15


URI

http://jssidoi.org/jesi/article/688


DOI


Pages

98-115


Funding

Some results of the project were obtained with the financial support of the Ministry of Science and Higher Education for the project No. 0705-2020-0041 “Fundamental research of methods of digital transformation of the component base of micro-and nanosystems”.

This is an open access issue and all published articles are licensed under a
Creative Commons Attribution 4.0 International License

Authors

Vlasov, Andrey I.
Bauman Moscow State Technical University, Moscow, Russian Federation http://www.bmstu.ru
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Gudoshnikov, Ivan V.
Bauman Moscow State Technical University, Moscow, Russian Federation http://www.bmstu.ru
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Zhalnin, Vladimir P.
Bauman Moscow State Technical University, Moscow, Russian Federation http://www.bmstu.ru
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Kadyr, Aksultan T.
Bauman Moscow State Technical University, Moscow, Russian Federation http://www.bmstu.ru
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Shakhnov, Vadim A.
Bauman Moscow State Technical University, Moscow, Russian Federation http://www.bmstu.ru
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Journal title

Entrepreneurship and Sustainability Issues

Volume

8


Number

2


Issue date

December 2020


Issue DOI


ISSN

ISSN 2345-0282 (online)


Publisher

VšĮ Entrepreneurship and Sustainability Center, Vilnius, Lithuania

Cited

Google Scholar

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References