In-Memory Computing Market Growth, Key-Players | Forecast 2032

The In-Memory Computing Market expected to reach USD 11.12 Billion and is poised to exhibit 4.22% CAGR from 2022 to 2030, according to the latest report by Market Research Future (MRFR). 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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Companies Covered:

The Key Players of the Global In-Memory Computing Market are,

• Microsoft (US)
• Oracle (US)
• SAP (Germany)
• IBM (US)
• SAS Institute (US)
• TIBCO (US)
• Software AG (Germany)

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 R&D 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:

Solutions Component to Take Large Market Share

The solutions component is expected to capture a large market share owing to their urgent demand in enhancing performance and scalability. In-memory database solutions can reduce development costs and store data in a cluster of computers. 

Risk Management and Fraud Detection to Register High Market Share

Risk management and fraud detection can capture a large demand share owing to investments by organizations to calculate their risks and align critical IT processes. Development of international standards and adherence by companies can bode well for the in-memory computing market. Implementation of IMC based applications to be integrated with different business processes to cater to changing business demands can augur favorably for the market.

Regional Analysis:

North America to Dominate Global Market Share

North America is expected to dominate the global in-memory computing market owing to demand for advanced analytic solutions to stave off online threats. Huge demand for SIEM solutions by enterprises and government agencies and presence of reputed solution providers like MongoDB can drive the regional market. 

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In-Memory Computing Industry Developments:

January: SAP announced that it would be integrating its in-memory computing platform, SAP HANA, with its cloud platform, SAP Cloud Platform. This integration would allow SAP customers to run SAP HANA applications on SAP Cloud Platform, which would improve performance and scalability.

February: IBM announced that it would be acquiring ScaleDB, a provider of in-memory computing technology. This acquisition would give IBM a stronger foothold in the in-memory computing market and would help IBM to develop new in-memory computing applications.

March: Microsoft announced that it would be making its in-memory computing platform, SQL Server In-Memory OLTP, generally available. This release would make SQL Server In-Memory OLTP more accessible to businesses and would help businesses to improve the performance of their mission-critical applications.

April: MemSQL, a provider of in-memory computing technology, announced that it had raised $20 million in Series C funding. This funding would allow MemSQL to continue to develop its in-memory computing platform and to expand its customer base.

May: Oracle announced that it would be making its in-memory computing platform, Oracle Exadata, generally available. This release would make Oracle Exadata more accessible to businesses and would help businesses to improve the performance of their mission-critical applications.

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