Cognitive Security Market - Growth, Trends, COVID-19 Impact, and Forecasts (2022 - 2027)

Market Overview

Cognitive Security Market is expected to register a healthy CAGR of over 33% during the forecast period (2021 - 2026). Enterprises are expanding their horizon to different geographies thereby generating data in terms of volume, velocity & veracity to gain some useful insights, where security plays a significant role by the help of various analysis technique in order to enhance their product and service offerings.

• The growth in usage of cognitive security services for data storage of the confidential and private data of an organization with the rise in employee mobility is expected to drive the global cognitive security market. Since IT teams are struggling under the amplified workload, therefore to alleviate this additional load and allow IT to focus on delivering innovation. Introduction of new artificial intelligence and machine learning capabilities are expected to allow IT teams, to function at machine speed and scale through personalized network insights and impact the demand for such solutions in the market.
• With the increasing adoption of the cloud-based services in various business platforms have led to the need to secure the information of organizations. The implementation of cloud-based cognitive security by small and medium enterprises is increasing rapidly and fuels the growth of the market.
• IT businesses are adopting the cognitive security services for transferring huge amount of data. There is rapid adoption of the internet on smartphones in recent past which access data on the cloud, resulting in an increasing need for cloud security, thereby fueling the demand of the cognitive security market during the forecast period.

Scope of the Report

Cognitive computing uses an advanced type of artificial intelligence, thereby leveraging over various forms of AI, including machine-learning algorithms and deep-learning networks, that get stronger and smarter over time. Cognitive security is widely being adopted across a diverse set of industries for the protection of crucial information including public safety and utility companies. Cognitive security help in analyzing security developments and separate all the structured and unstructured information data into information thereby providing continuous security to business for improving its productivity.

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Key Market Trends

Cognitive Threat Analytics to Grow at a Significant Rate

• Cognitive Threat Analytics relies on advanced statistical modeling and machine learning to independently identify new threats, learn from what it sees, and adapt over time. Owing to the enhanced improvements in the It security capabilities such solutions are emerging as most sought out solutions and drive the demand.
• This cloud-based solution reduces time to discovery of threats operating inside the network. It addresses gaps in perimeter-based defenses by identifying the symptoms of a malware infection or data breach using behavioral analysis and anomaly detection. With the increased pressure on the businesses to secure confidential and strategic business data, the market is expected to experience improved adoption over the forecast period.
• Moreover, it helps to improve network visibility, security, and incident response across the entire network. It correlates local traffic models with global threat behaviors to give a rich threat context around network traffic. Also, it applies machine learning and statistical modeling for encrypted traffic analytics to enhance NetFlow analysis.

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