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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