How has the generative ai in cyber security market evolved, and where is it heading next?
The generative AI in cyber security market size has grown exponentially in recent years. It will grow from $2.46 $ billion in 2024 to $3.03 $ billion in 2025 at a compound annual growth rate (CAGR) of 23.0%. The growth in the historic period can be attributed to the increasing complexity of cyber threats, the rising volume of security data, the proliferation of IoT devices, the growing need for automated threat detection, and the evolution of sophisticated cyber-attacks.
The generative AI in cyber security market size is expected to see exponential growth in the next few years. It will grow to $6.86 $ billion in 2029 at a compound annual growth rate (CAGR) of 22.7%. The growth in the forecast period can be attributed to the increasing adoption of cloud-based services, rising demand for real-time threat detection, growing investment in AI-driven security solutions, the emergence of advanced persistent threats (APTs), and the integration of AI with other cybersecurity tools. Major trends in the forecast period include the expansion of AI in endpoint security, the adoption of AI for enhancing incident response, the integration of AI with blockchain for secure data management, the growth of AI-driven predictive analytics, and the development of AI-powered identity and access management solutions.
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What are the key drivers behind the rapid expansion of the generative ai in cyber security market?
The increasing security threats are expected to propel the growth of the generative AI in cyber security market going forward. Security threats are risks that exploit system flaws or weaknesses, resulting in unauthorized access, data loss, or other forms of damage. Security threats are growing due to the growing complexity of technology, expanded digital attack surfaces, and sophisticated tactics employed by cybercriminals. generative artificial intelligence (AI) in cybersecurity helps address security threats by creating advanced models that predict, detect, and respond to potential risks through continuous analysis of data patterns and threat simulations. For instance, in April 2023, according to the Department for Science, Innovation, and Technology, a UK-based government body, cybercrime affected 11% of businesses and 8% of charities in total over the past 12 months, this number increased to 26% of medium-sized businesses, 37% of large businesses, and 25% of high-income charities. Therefore, the increasing security threats are driving the generative AI in cyber security market.
What is the segmentation for the generative ai in cyber security market?
The generative AI in cyber securitymarket covered in this report is segmented –
1) By Type: Threat Detection And Analysis, Adversarial Defense, Insider Threat Detection, Network Security, Other Types
2) By Component: Hardware, Software, Services
3) By Technology: Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), Reinforcement Learning (RL), Deep Neural Networks (DNNs), Natural Language Processing (NLP), Other Technologies
4) By End-Use: Banking, Financial Services, And Insurance (BFSI), Healthcare And Life Sciences, Government And Defense, Retail And E-commerce, Manufacturing And Industrial, Information Technology (IT) And Telecommunications, Energy And Utilities, Other End-Uses
Subsegments:
1) By Threat Detection and Analysis: Malware Detection, Phishing Detection, Anomaly Detection, Zero-Day Threat Identification, Automated Incident Response
2) By Adversarial Defense: Adversarial Attack Simulation, Defensive Machine Learning, Robust Model Training, Adversarial Input Detection, Secure Model Deployment
3) By Insider Threat Detection: Behavioral Analysis, User And Entity Behavior Analytics (UEBA), Privileged Access Monitoring, Data Exfiltration Detection, Predictive Risk Scoring
4) By Network Security: Traffic Anomaly Detection, Intrusion Detection And Prevention Systems (IDPS), Encrypted Traffic Analysis, Automated Firewall Rules, Secure Network Architecture Design
5) By Other Types: Data Privacy and Compliance, Fraud Detection, Vulnerability Scanning, Secure Software Development, Automated Threat Hunting.
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Who are the most influential companies in the generative ai in cyber security market?
Major companies operating in the generative AI in cyber security market are Microsoft Corporation, Intel Corporation, International Business Machines Corporation, Cisco Systems Inc., NVIDIA Corporation, Palo Alto Networks Inc., Fortinet Inc., LexisNexis, CrowdStrike Holdings Inc., Palantir Technologies Inc., Trend Micro Inc., Elastic NV, Proofpoint Inc., Rapid7, Tanium, Darktrace plc, Sumo Logic Inc., SentinelOne Inc., LogRhythm Inc., Snyk, Vectra AI inc., Aqua Security Software Ltd., Illumio, Sophos Ltd., Acalvio Technologies
What are the most influential trends expected to drive the generative ai in cyber security market forward?
Major companies operating in the generative AI in cybersecurity market are focusing on developing advanced solutions, such as cybersecurity assistants, to sustain their position in the market. A cybersecurity assistant is a tool or system, often powered by AI or machine learning, designed to support and enhance cybersecurity efforts by automating tasks such as threat detection, incident response, and vulnerability management. For instance, in August 2024, International Business Machines Corporation (IBM), a US-based technology company, introduced a new generative AI-powered cybersecurity assistant. Built on IBM’s Watsonx AI platform, this tool is designed to improve threat detection and response. Its key features include accelerated threat investigations through historical correlation analysis, integration with IBM’s existing threat detection services, and a conversational AI engine for real-time support. This solution enhances threat management by cross-correlating alerts from multiple sources and continually learning from specific client environments to offer more precise and efficient security insights.
What are the major regional insights for the generative ai in cyber security market, and which region holds the top position?
North America was the largest region in the generative AI in cyber security market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the generative AI in cyber security market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
What Does The Generative AI in Cyber Security Market Report 2025 Offer?
The generative ai in cyber security market research report from The Business Research Company offers global market size, growth rate, regional shares, competitor analysis, detailed segments, trends, and opportunities.
Generative artificial intelligence (AI) in cyber security utilizes advanced AI to create systems that anticipate and model cyber threats, uncover vulnerabilities, and enhance security by analyzing data patterns. Its benefits include improved threat detection and response, greater accuracy in identifying vulnerabilities, and the capability to adapt and strengthen defenses in real time against evolving cyber threats.
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