The ai in cybersecurity market has seen considerable growth due to a variety of factors.
•The market size for AI in cybersecurity has experienced a significant boom in the past few years. It's projected to expand from $24.67 billion in 2024 to $30.79 billion in 2025, with a compound annual growth rate (CAGR) of 24.8%.
The robust growth in the historical period can be credited to the demonstrated effectiveness of AI, the rise of predictive analytics, usage of big data, changes in the cybersecurity environment, and early integration of AI strategies.
The ai in cybersecurity market is expected to maintain its strong growth trajectory in upcoming years.
• The AI-powered cybersecurity sector is set to experience explosive growth in the coming years. The market is projected to expand significantly to reach a valuation of "$82.56 billion by 2029, with a compound annual growth rate (CAGR) of 28.0%.
This projected increase during the forecast period can be linked to factors such as the escalating complexity of cyber threats, the rising use of IoT gadgets, the necessity for immediate threat detection, transitioning to cloud-based security solutions, and the shortage of cybersecurity skills. Key trends in the predicted period encompass the use of AI in endpoint security, intelligence and information sharing about threats, AI-enhanced response to incidents, AI-facilitated authentication, and the prediction and initiation of preemptive actions.
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The escalation of cybercrimes is projected to stimulate the expansion of the AI in cybersecurity market. Cybercrimes refer to any illicit activities involving computers, networks, or other digital devices, conducted by individuals or groups with malevolent intent. This can include the theft of sensitive data, disruption of computer systems, or fraudulent activities. Artificial Intelligence is employed to combat the increasing threat of cybercrimes by offering advanced security solutions that can swiftly detect, analyze, and respond to cyber threats in real time while lowering false positives by sifting out non-threatening activities. For example, the Federal Bureau of Investigation, a law enforcement agency based in the US, reported in 2022 that the total investment fraud complaints rocketed to $3.31 billion, a substantial rise of 127% from the $1.45 billion in 2021. Remarkably, within these complaints, the increase in cryptocurrency investment fraud was the most dramatic, skyrocketing from $907 million in 2021 to $2.57 billion in 2022, a massive 183% increase. Therefore, the surge in cybercrimes is fueling the growth of the AI in cybersecurity market.
The AI in cybersecurity market covered in this report is segmented –
1) By Offering: Hardware, Software, Services
2) By Technology: Machine learning, Natural Language Processing (NLP), Context-Aware Computing
3) By Security Type: Network Security, Endpoint Security, Application Security, Cloud Security
4) By Application: Identity and Access Management, Risk and Compliance Management, Data Loss Prevention, Unified Threat Management, Security and Vulnerability Management, Antivirus or Antimalware, Fraud Detection or Anti-Fraud, Intrusion Detection or Prevention System, Threat Intelligence, Other Applications
5) By End Users: Banking, Financial Services, and Insurance (BFSI), Retail, Manufacturing, Infrastructure, Enterprise, Healthcare, Automotive and Transportation, Government and Defense, Other End-Users
Subsegments:
1) By Solutions: Machine Learning Solutions, Natural Language Processing Solutions, Computer Vision Solutions, Speech Recognition Solutions, Predictive Analytics Solutions, Data Mining Solutions, Robotic Process Automation Solutions
2) By Services: Consulting Services, Integration Services, Support And Maintenance Services, Training And Education Services, Managed Services
Leading enterprises active in the AI cybersecurity industry are exploring newer solutions for corporate safety as part of their strategy to gain a distinctive edge over their competitors. The term "Enterprise Security" encompasses the all-embracing plans and preventive techniques employed by corporations to protect their data, assets, technology, and operations from potential risks and threats. To illustrate, in April 2023, SentinelOne, Inc., a cybersecurity firm from the United States, introduced a threat-hunting platform that uses generative AI and reinforcement learning. This platform combines real-time neural networks with a natural language interface that is built on a language model, allowing users to effectively manage and keep track of their security data with AI, process immediate insights, and execute actions without a hiccup. The platform consolidates information from diverse sources, putting forth and implementing responsive actions with no requirement for coding abilities. The aim of SentinelOne is to equip corporations with the capability to scale their cybersecurity maneuvers, keep ahead of emergent threats, and construct a sturdy defense base for times ahead.
Major companies operating in the AI in cybersecurity market include:
• Nvidia Corporation
• Intel Corporation
• Xilinx Inc.
• International Business Machines Corporation
• Amazon Web Services Inc.
• Microsoft Corporation
• Palo Alto Networks Inc.
• CrowdStrike Holdings Inc.
• NortonLifeLock Inc.
• Cylance Inc.
• FireEye Inc.
• Check Point Software Technologies Ltd.
• Darktrace Plc
• McAfee LLC
• Symantec Corporation
• Fortinet Inc.
• Cisco Systems Inc.
• Splunk Inc.
• Varonis Systems Inc.
• Trend Micro Incorporated
• Sophos Group plc
• Carbon Black Inc.
• Dragos Inc.
• Zscaler Inc.
• CyberArk Software Ltd.
• Lookout Inc.
• XM Cyber Ltd.
• Axonius Inc.
North America was the largest region in the AI in cybersecurity market in 2024.Asia-Pacific is expected to be the fastest-growing region in the global AI in cybersecurity market report during the forecast period. The regions covered in the AI in cybersecurity market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa