In-Memory Computing Market Estimated to Reach USD 28,614 MN By 2028, With 15.7% CAGR - Credence Research
The latest market report published by Credence Research, Inc. “Global In-Memory Computing Market: Growth, Future Prospects, and Competitive Analysis, 2016 – 2028”. The Global In-Memory Computing Market generated revenue of around USD 11,928.3 million in 2021 and is anticipated to grow a CAGR of over 15.7% during the forecast period from 2022 to 2028 to reach around USD 28,614 million in 2028. While, cumulative growth opportunity presented by the global In-Memory Computing is around USD 16,685.7 million during 2022 to 2028.
The world in-memory computing market is majorly driven by increased use of internet services as well as growing demand for quicker processing and analytics of big data. Moreover, the increasing acceptance of in-memory computing to obtain a competitive advantage, improve performance, and better market presence is driving the market forward. Furthermore, in-memory computing technology's capacity to deliver speed, flexibility, scalability, and accessibility at a low cost is offering significant opportunities for market growth over the forecast period.
The global in-memory computing market is bifurcated into Component, Application, Deployment Mode, Organization Size, and Vertical. Based on component the market is divided into services and solutions. On the basis of application, the global market is segmented into risk management and fraud detection, sentiment analysis, geospatial/GIS processing, sales and marketing optimization, predictive analysis, supply chain management, and others (image processing, trade promotion simulations, claim processing and modeling, and route optimization). Based on the deployment mode the market is bifurcated as cloud and on-premises. By organization size, the market is categorized into SMEs and large enterprises. Based on vertical, the market is segmented as BFSI, IT and Telecom, retail and ecommerce, healthcare and life sciences, transportation and logistics, government and defense, energy and utilities, media and entertainment and the others (education, manufacturing, and travel and hospitality).
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Demand for in-memory computing is largely driven by exponential growth of the big data and rising need for accuracy and speed for data processing across business organizations. In-memory computing is mainly used for information storage and considerably reduces latency in data analysis and data transactions, thereby enhancing decision making of end-users in real time. Thus, rise in transactional and analytical needs across various end-use industries coupled with its capability to provide accuracy, speed, and flexibility is expected to drive the in-memory computing market in the coming years.?
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