
Artificial Intelligence in Cybersecurity Market Report 2026
Global Outlook – By Offering (Software, Services), By Technology (Machine Learning, Natural Language Processing, Context-Aware Computing), By Deployment Mode (Cloud, On-Premise), By Application (Antivirus Or Antimalware, Data Loss Prevention, Fraud Detection Or Anti-Fraud, Identity And Access Management, Intrusion Detection Or Prevention System, Risk And Compliance Management, Security And Vulnerability Management, Threat Intelligence, Other Applications), By End-User (BFSI (Banking, Financial Services, And Insurance), Enterprise, Retail, Government And Defense, Manufacturing, Healthcare, Automotive And Transportation, Infrastructure, Other End Users) – Market Size, Trends, Strategies, and Forecast to 2035
Artificial Intelligence in Cybersecurity Market Overview
• Artificial Intelligence in Cybersecurity market size has reached to $35.08 billion in 2025 • Expected to grow to $96.4 billion in 2030 at a compound annual growth rate (CAGR) of 22.4% • Growth Driver: The Increasing Instances Of Cyber Threats Fueling The Growth Of The Market Due To Rising Digitalization And Expanding Attack Surfaces • Market Trend: Innovations in Artificial Intelligence (AI) Technology Strengthen Cyber Threat Detection and Response Efficiency • North America was the largest region in 2025 and Asia-Pacific is the fastest growing region.What Is Covered Under Artificial Intelligence in Cybersecurity Market?
Artificial intelligence (AI) in cybersecurity refers to the application of advanced computational algorithms and machine learning techniques to enhance the efficiency and effectiveness of security measures in protecting digital systems, networks, and data from cyber threats. AI in cybersecurity is utilized to analyze risk data, detect and respond to threats, and predict breach risks. The main offerings of artificial intelligence in cybersecurity include software and services. Software refers to a collection of programs, procedures, and routines that direct a computer's hardware to perform specific tasks. The various technologies involved are machine learning, natural language processing, and context-aware computing. It can be deployed in various modes, including cloud and on-premise, for several applications, such as antivirus or antimalware, data loss prevention, fraud detection or anti-fraud, identity and access management, intrusion detection or prevention systems, risk and compliance management, security and vulnerability management, threat intelligence, and others. It is used by numerous end-users, including BFSI (banking, financial services, and insurance), enterprise, retail, government and defense, manufacturing, healthcare, automotive and transportation, infrastructure, and others.
What Is The Artificial Intelligence in Cybersecurity Market Size and Share 2026?
The artificial intelligence in cybersecurity market size has grown exponentially in recent years. It will grow from $35.08 billion in 2025 to $42.95 billion in 2026 at a compound annual growth rate (CAGR) of 22.4%. The growth in the historic period can be attributed to increasing cyberattacks and data breaches, growing adoption of digital technologies, rising complexity of it networks, limited manual security capabilities, increasing regulatory compliance requirements.What Is The Artificial Intelligence in Cybersecurity Market Growth Forecast?
The artificial intelligence in cybersecurity market size is expected to see exponential growth in the next few years. It will grow to $96.4 billion in 2030 at a compound annual growth rate (CAGR) of 22.4%. The growth in the forecast period can be attributed to integration of AI in cybersecurity tools, growth of cloud and hybrid it environments, increasing demand for proactive threat management, adoption of automated security operations centers (socs), rising focus on data privacy and protection. Major trends in the forecast period include automated threat detection, real-time incident response, behavioral analytics for cybersecurity, predictive breach risk analysis, security compliance automation.Global Artificial Intelligence in Cybersecurity Market Segmentation
1) By Offering: Software, Services 2) By Technology: Machine Learning, Natural Language Processing, Context-Aware Computing 3) By Deployment Mode: Cloud, On-Premise 4) By Application: Antivirus Or Antimalware, Data Loss Prevention, Fraud Detection Or Anti-Fraud, Identity And Access Management, Intrusion Detection Or Prevention System, Risk And Compliance Management, Security And Vulnerability Management, Threat Intelligence, Other Applications 5) By End-User: BFSI (Banking, Financial Services, And Insurance), Enterprise, Retail, Government And Defense, Manufacturing, Healthcare, Automotive And Transportation, Infrastructure, Other End Users Subsegments: 1) By Software: Threat Detection And Response, Identity And Access Management, Data Loss Prevention, Endpoint Security, Network Security, Security Information And Event Management (SIEM), Fraud Detection 2) By Services: Consulting Services, Managed Security Services, Training And Support ServicesWhat Is The Driver Of The Artificial Intelligence in Cybersecurity Market?
The increasing instances of cyber threats are expected to propel the growth of the artificial intelligence in the cybersecurity market going forward. A cyber threat is a malicious act intended to steal or damage data or disrupt the digital stability and operations of an enterprise. The rise in cyber threats is due to increasing digitalization and remote working, which expand the number of potential attacks surfaces available to threat actors. Artificial intelligence in cybersecurity enhances protection by using advanced algorithms to detect, analyse, and mitigate evolving cyber risks in real time, improving threat intelligence and incident response capabilities. For instance, in November 2023, according to the Australian Cyber Security Centre, an Australia-based government cyber agency, during the 2022–23 financial year, there were nearly 94,000 reports of cybercrime submitted to ReportCyber, representing a 23% increase compared to the previous year. Therefore, the increasing instances of cyber threats are driving the growth of the artificial intelligence in the cybersecurity market.Key Players In The Global Artificial Intelligence in Cybersecurity Market
Major companies operating in the artificial intelligence in cybersecurity market are Microsoft Corporation; Amazon Web Services Inc.; International Business Machines Corporation; Cisco Systems Inc.; Trellix; Palo Alto Networks Inc.; Fortinet Inc.; Symantec Corporation; NortonLifeLock; Gen Digital Inc.; Palantir Technologies; CrowdStrike; Zscaler; FireEye Inc.; Darktrace; SentinelOne; Vectra AI Inc.; Cybereason; Venafi Inc.; Securonix Inc.; Cylance Inc.; SparkCognition; Tessian; Acalvio Technologies Inc.Global Artificial Intelligence in Cybersecurity Market Trends and Insights
Major companies operating in the AI-in-cybersecurity market are focusing on developing advanced solutions, such as AI-powered cybersecurity assistants, to enhance threat detection accuracy, streamline incident response, and reduce alert fatigue among security teams. AI-powered cybersecurity assistants are intelligent tools that leverage artificial intelligence and machine learning algorithms to assist cybersecurity professionals in detecting, investigating, and mitigating security threats in real time. For instance, in August 2024, IBM, a US-based technology company, introduced its Cybersecurity Assistant, a generative AI-powered capability built on the watsonx platform and integrated into its managed Threat Detection and Response (TDR) Services. Designed to improve operational efficiency and response times, the assistant can automatically escalate or close up to 85% of alerts using automation and generative AI and has been shown to reduce alert investigation times by 48% for one client, enabling faster and more effective incident management.What Are Latest Mergers And Acquisitions In The Artificial Intelligence in Cybersecurity Market?
In September 2024, Palo Alto Networks, Inc., a United States-based global cybersecurity company, acquired International Business Machines Corporation (IBM)’s QRadar Software-as-a-Service (SaaS) assets for an undisclosed amount. Through this acquisition, Palo Alto Networks, Inc. aims to strengthen its AI-powered security operations platform by integrating IBM QRadar’s Security Information and Event Management (SIEM), Security Orchestration, Automation, and Response (SOAR), Attack Surface Management (ASM), and Extended Detection and Response (XDR) tools into its Precision AI-driven Cortex XSIAM platform, enabling enterprises to streamline security operations and scale AI-enabled threat prevention. IBM’s QRadar SaaS assets are part of IBM’s hybrid cloud and AI security solutions business.Regional Insights
North America was the largest region in the artificial intelligence in cybersecurity market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in this market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in this market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, SpainWhat Defines the Artificial Intelligence in Cybersecurity Market?
The artificial intelligence in cybersecurity market includes revenues earned by entities by providing services such as threat detection and prevention, endpoint security, and security analytics. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included.How is Market Value Defined and Measured?
The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified). The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.What Key Data and Analysis Are Included in the Artificial Intelligence in Cybersecurity Market Report 2026?
The artificial intelligence in cybersecurity market research report is one of a series of new reports from The Business Research Company that provides market statistics, including industry global market size, regional shares, competitors with the market share, detailed market segments, market trends and opportunities, and any further data you may need to thrive in the artificial intelligence in cybersecurity industry. The market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future state of the industry.Artificial Intelligence in Cybersecurity Market Report Forecast Analysis
| Report Attribute | Details |
|---|---|
| Market Size Value In 2026 | $42.95 billion |
| Revenue Forecast In 2035 | $96.4 billion |
| Growth Rate | CAGR of 22.4% from 2026 to 2035 |
| Base Year For Estimation | 2025 |
| Actual Estimates/Historical Data | 2020-2025 |
| Forecast Period | 2026 - 2030 - 2035 |
| Market Representation | Revenue in USD Billion and CAGR from 2026 to 2035 |
| Segments Covered | Offering, Technology, Deployment Mode, Application, End-User |
| Regional Scope | Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa |
| Country Scope | The countries covered in the report are Australia, Brazil, China, France, Germany, India, ... |
| Key Companies Profiled | Microsoft Corporation; Amazon Web Services Inc.; International Business Machines Corporation; Cisco Systems Inc.; Trellix; Palo Alto Networks Inc.; Fortinet Inc.; Symantec Corporation; NortonLifeLock; Gen Digital Inc.; Palantir Technologies; CrowdStrike; Zscaler; FireEye Inc.; Darktrace; SentinelOne; Vectra AI Inc.; Cybereason; Venafi Inc.; Securonix Inc.; Cylance Inc.; SparkCognition; Tessian; Acalvio Technologies Inc. |
| Customization Scope | Request for Customization |
| Pricing And Purchase Options | Explore Purchase Options |
