Market Overview: Global Artificial Intelligence (AI) in Cyber Security Market

MarkNtel Advisors, a leading consulting, data analytics, and market research firm that provides an extensive range of strategic reports on diverse industry verticals. Recently published a report on the Global Artificial Intelligence (AI) in Cyber Security Market and provide your business with the latest market trends and analysis from our reports to make informed decisions and stay ahead of the competition.

Artificial Intelligence (AI) in Cyber Security Market Insights 2022-27

The Global Artificial Intelligence (AI) in Cyber Security Market is expected to grow at a CAGR of around 22.60% during 2022-27.

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Top Players in the Artificial Intelligence (AI) in Cyber Security Market:

• BAE Systems plc
• RSA Security LLC
• IBM Corporation
• Palo Alto Networks Inc.
• Fortinet Inc.
• FireEye Inc.
• Check Point Software Technologies Ltd.
• Cisco Systems Inc.
• Juniper Network Inc.
• Acalvio Technologies Inc.
• Darktrace Limited
• Amazon Web Services Inc.
• NVIDIA Corporation
• Cylance Inc.
• Securonix Inc

Segmentation Analysis of Artificial Intelligence (AI) in Cyber Security Market

Artificial Intelligence (AI) in Cyber Security Market exactly assesses and highlights significant trends and influencing factors within each segment. The comprehensive analysis extends its predictions for the period spanning 2022-27, focusing on the national landscape. The market is exactly categorized based on this analysis, providing valuable insights into its various facets.

-By Technology

• Machine Learning
• Natural Language Processing
• Image Processing
• Voice Recognition
• Robotics
• Cognitive Computing

Amongst all technologies, Machine Learning (ML) holds the largest market share, primarily due to its various advantages like quicker prediction, analysis, & processing of information from unlimited sources that enable organizations to study & interpret user behavior. Due to the ability of machine learning to secure businesses by efficiently managing threat-learning algorithms using a sizeable amount of data, it is used widely in line with AI in cyber security systems.

Using ML, cyber security systems can identify attack patterns & learn from them to counter such attacks & their dynamic behavior. ML’s capability to collect, process, & manage big data that originate from different sources helps companies forecast cyber threats and analyze real-time user behavior patterns to protect the network from potential cyber threats.

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-By Application

• Identity and Access Management (IAM)
• Universal Transverse Mercator (UTM)
• Data Loss Prevention (DLP)
• Security & Vulnerability Management
• Antimalware
• Fraud Detection
• Intrusion detection
• Threat intelligence

-By Components

• Hardware
• Software
• Services

-By Deployment

• On-Premises
• Cloud

-By Security Type

• Critical Infrastructure Cybersecurity
• Network Security
• Cloud Security
• Internet of Things Security
• Application Security

-By End-User

• BFSI
• Retail
• IT & Telecommunication
• Healthcare
• Manufacturing
• Government & Defence
• Others (Resources & Utilities, Education, Automotive & Transportation)

A Comprehensive Geographical Analysis:

-By Region

• North America
• South America
• Europe
• Middle East & Africa
• Asia Pacific

North America is the early adopter of AI in cyber security across government agencies, banks, financial institutions, particularly in the US. The regional market is driven prominently by the extensive presence & participation of leading players in the region that offer technologically improved solutions & services to all sectors. Additionally, the rapidly expanding awareness about the benefits of having robust security systems, especially across government organizations, shall further drive the market and generate lucrative growth opportunities for the leading players in the years to come.

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