The global in-memory computing market expected to reach USD 11.12 Billion and is poised to exhibit 4.22% CAGR from 2022 to 2030.

In-memory computing is a technique able to predict cyberattacks and react accordingly to attack vectors. It can make use of security information event and management (SIEM) solutions to create a digital twin for agents that send messages and eliminate kill chains. MRFR’s report provides a comprehensive analysis of the technique and its implementations during the COVID-19 pandemic for the forecast period (2022-2030).

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Market Scope:

The global in-memory computing market is primarily driven by huge clusters of data generated at various endpoints such as servers, workstations, and edges. IMC solutions capable of handling volume, variety, and velocity within a specific timeframe can produce insights from the existing data. The goal of organizations to use IMC for accelerating the processing speed of data can drive overall market growth. Huge spending in RD activities in Germany and demand for predictive analysis can bode well for the market.

The use of artificial intelligence to capture customer-agent interactions to glean useful insights and optimize outcomes can lead to analysis of large datasets. Changes in system-on-chip (SoC) designs coupled with investments in hardware can lead to new ways in addressing complexities in data.

But lack of trained professionals and general standards can hamper market growth. 

COVID-19 Impact:

The COVID-19 pandemic has caused a decline in IT infrastructure spending and negatively affected the in-memory computing market. The shutdown of offices and markets has created a blank spot in customer behavior. But dependence on AI and ML has led to various organizations modernizing their solutions and infrastructure to overcome effects of the outbreak and achieve business outcomes.

Segmentation Analysis:

The in-memory computing market is segmented by component, application, deployment type, organization size, and vertical.

By component: The market is segmented into solutions and services. Solutions include in-memory databases, in-memory analytics, and in-memory application servers. Services include consulting, training, and support.

By application: The 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.

By deployment type: The market is segmented into cloud and on-premises deployment.

By organization size: The market is segmented into small and medium enterprises (SMEs) and large enterprises.

By vertical: The market is segmented into BFSI, IT and telecom, retail and eCommerce, healthcare and life sciences, transportation and logistics, government and defense, energy and utilities, media and entertainment, and others.

Regional Analysis:

The global in-memory computing market is segmented into five regions: North America, Europe, Asia Pacific, Latin America, and Middle East Africa.

North America is the largest market for in-memory computing, accounting for the largest share of the market in 2022. This is due to the early adoption of new technologies in the region, as well as the presence of a large number of key players in the market. The United States is the largest market in North America, followed by Canada.

Europe is the second-largest market for in-memory computing. The market in Europe is driven by the increasing adoption of cloud computing and big data analytics in the region. Germany, the United Kingdom, and France are the largest markets in Europe.

Asia Pacific is expected to be the fastest-growing market for in-memory computing during the forecast period. The growth of the market in Asia Pacific is driven by the increasing adoption of in-memory computing in the banking and financial services, retail, and healthcare sectors. China, Japan, and India are the largest markets in Asia Pacific.

Latin America and Middle East Africa are the two smaller markets for in-memory computing. However, these markets are expected to grow at a faster pace during the forecast period. The growth of the markets in Latin America and Middle East Africa is driven by the increasing adoption of in-memory computing in the government and telecom sectors.

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In-Memory Computing Industry Developments:

January 2023: IBM announces the general availability of its In-Memory Data Fabric, a platform that helps organizations to store, manage, and analyze data in memory.

February 2023: SAP releases its In-Memory Computing Suite, a set of tools that help organizations to accelerate their in-memory computing deployments.

March 2023: Microsoft announces the availability of its In-Memory Analytics platform, which helps organizations to analyze large volumes of data in real time.

April 2023: Hazelcast releases its 5.0 release, which includes a number of new features and enhancements for in-memory computing.

May 2023: Oracle announces the general availability of its In-Memory Database, a high-performance database that is designed for in-memory computing applications.

June 2023: ScaleOut Software releases its 7.0 release, which includes a number of new features and enhancements for in-memory computing.

These are just a few of the many in-memory computing industry developments that have taken place in 2023. The in-memory computing market is growing rapidly, and these developments are just a sign of things to come.

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