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Global Artificial Intelligence in Cybersecurity Market Research Report 2019

Dublin, May 24, 2019 (GLOBE NEWSWIRE) -- The 'Artificial Intelligence in Cybersecurity Market by Offering (Hardware, Software, and Service), Deployment Type, Security Type, Technology (ML, NLP, and Context-Aware), Application (IAM, DLP, and UTM), End User, and Geography- Global Forecast to 2026' report has been added to ResearchAndMarkets.com's offering.

The AI in cybersecurity market is projected to reach USD 38.2 billion by 2026 from USD 8.8 billion in 2019, at the highest CAGR of 23.3% Major drivers for the market's growth are growing adoption of IoT and increasing number of connected devices, rising instances of cyber threat, growing concerns of data protection, and increasing vulnerability of Wi-Fi networks to security threats.

Furthermore, underlying opportunities for the AI in cybersecurity market include growing need for cloud-based security solutions among SMEs and increased use of social media for business functions.

Major restraints for the market are the inability of AI to stop zero-day and advanced threats, and rise in insider cyber threats.

Limited number of cybersecurity and AI professionals, and lack of interoperability with existing information systems pose major challenges to the AI in cybersecurity market.

By training AI software on large data sets of cybersecurity, network, and physical information, cybersecurity solutions providers aim to detect and block abnormal behavior, even if it does not exhibit a known pattern.

AI software identifies patterns and anomalies pertaining to past events, thereby identifying threats across a firm's network, both on-premises and in the cloud, to mitigate further attacks.

Moreover, it is used to monitor unusual networks and user activities and spot new phishing emails.Further, underlying opportunities for the AI in the cybersecurity market include the growing need for cloud-based security solutions among SMEs and increased use of social media for business functions.

The limited number of cybersecurity and AI professionals, and lack of interoperability with existing information systems pose major challenges to the AI in the cybersecurity market.

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