The market for in-memory computing is estimated at USD 28,614 million by 2028,…

The market for in-memory computing is estimated at USD 28,614 million by 2028,…

Facebook
Twitter
LinkedIn

In-Memory Computing Market is expected to reach $28,614 million by 2028 at a CAGR of 15.7% - Credence Research

The major players in the Global In-Memory Computing Market in terms of value and volume include Oracle (US), SAP (Germany), Microsoft (US), IBM (US), TIBCO (US), SAS Institute (US). ) and Fujitsu (Japan), Software AG (Germany), Red Hat (USA), GigaSpaces (USA), Altibase (USA), Intel (Germany), Salesforce (USA), Workday (USA), Qlik (USA), VoltDB (US) , and Teradata (US).

The latest market report from Credence Research, Inc. “Global in-memory computing market: Growth, Future Prospects and Competitive Analysis, 2016 – 2028”. Global In-Memory Computing Market generated revenue of approximately USD 11,928.3 million in 2021 and is expected to grow at a CAGR of over 15.7% to approximately USD 28,614 million in 2028 during the forecast period 2022-2028. Meanwhile, a cumulative growth opportunity presented by global in-memory computing is approximately $16,685.7 million between 2022 and 2028.

The global in-memory computing market is mainly driven by the increasing use of internet services as well as the growing demand for faster processing and analysis of big data. Additionally, the increasing adoption of in-memory computing to gain a competitive advantage, improve performance and improve market presence is driving the market. Furthermore, the ability of in-memory computing technology to provide speed, flexibility, scalability and accessibility at low cost presents significant opportunities for market growth over the forecast period.

The global In-Memory Computing market is segmented into components, applications, deployment mode, company size, and industry vertical. Based on components, the market is segmented 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 analytics, supply chain management and others (image processing, trade promotion simulations, claims processing and modeling and route optimization)… .

[ad_2]

Source story

More to explorer