Cognitive Security Market News, Regional Insights, Top Key Players and Segment Analysis by Forecast to 2030
Market
Overview
Cognitive security market size can be defined as security
which uses data mining, natural language processing, machine learning, and
human-computer interface for securing data from virus and cyber-attacks.
Cognitive systems aid in analyzing security developments and separate all the
structured and unstructured data into information. Further, it also provides
continuous security to business and improves productivity. Market Research
Future (MRFR) has recently published a report on the global cognitive security
market, concluding that it is expected to witness a robust CAGR of 19% between
the forecast period
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Such growth can be accredited to several factors, which are mentioned in the
report. One of the primary drivers of the market is the mounting cyber-attacks
on the cloud. Growing usage of cognitive security services for storing
confidential information and private data of an organization is also
contributing to the snowballing cognitive security market. Further, rising rate
of employee mobility is also anticipated to drive the global cognitive security
market over the forecast period. Emerging trends of BYOD to the office premises
has created a higher need for cognitive security, encouraging enterprises in
several end-user industries is estimated to drive the global cognitive security
market.
Furthermore, growth of
online market and e-selling, along with growth in the IT and telecommunications
industry are also to be attributed for market growth in regards to cognitive
security solutions. Rapid adoption of internet and smartphones which access
data on cloud is leading to higher adoption of cognitive security solutions.
The cognitive security market is projected to exhibit a market valuation of
approximately 10 billion by 2023.
Key Players
Some notable players in the global cognitive security market, as mentioned in
the MRFR analysis, include Intel Security (U.S.), XTN (Italy), Symantec
Corporation (U.S.), IBM Corporation (U.S.), Cisco systems (U.S.), CA
Technologies, Inc. (U.S.), CSC (U.S.), Fortinet, Inc. (California, U.S.), Cato
Networks (Israel), and Check Point Software Technologies (Israel).
Market Segmentation
The global cognitive security market share is segmented by deployment,
organization size, vertical, and region. Based on deployment, the global
cognitive security market is segmented into on-premise and on-cloud. Based on
organization size, the global cognitive security market is segmented into small
& medium enterprises and large enterprises. Based on vertical, the
cognitive security market is segmented into IT and telecommunication, BFSI,
supply chain and logistics, healthcare, energy & power and utilities, and
education and government.
Detailed Regional Analysis
Based on geography, the global Cognitive Security Market is segmented into
North America, South America, the APAC, Europe, and the Middle East &
Africa. North America is the largest shareholder in the global cognitive
security market over the forecast period. The need of safety and security
solutions to aid in securing huge existing database of organizations is
contributing to the growth of the cognitive security market in the North
American region. Furthermore, upscaling healthcare industry in the region has
demanded for security over cloud technology, thereby leading to exponential
growth in the global cognitive security market.
On the other hand, Asia Pacific is estimated to grow at a substantial rate over
the forecast period, as per the recent report by MRFR. Many organizations in
several end-user industries have started adopting the policy of bring your own
device (BYOD) where the employees work on their own personal devices. Hence,
this has led to a rise in cyber-threats for data on-cloud. Such a rise in
threat has led to a rise in the need for cognitive security. Hence, growth
opportunities for various market players are opening up in the APAC region for
cognitive security market during the forecast period.
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Report:
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Industry
Update
October 2019: A machine learning model developed by OPA at the National Institutes
of Heath determined the likelihood of a biomedical research case which was
being used in clinical trials or guidelines. According to the OPA, this is an
early indicator of translational progress.
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