Generative AI in Cyber Security Market Report 2024

This Generative AI In Cyber Security market report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market’s historic and forecast market growth by geography.

The Generative AI in cyber security market size has grown exponentially in recent years. It will grow from $2.0 billion in 2023 to $2.46 billion in 2024 at a compound annual growth rate (CAGR) of 22.7%. The growth observed in the historical period can be attributed to several factors, the increasing complexity of cyber threats, the rising volume of security data, the widespread adoption of IoT devices, the growing need for automated threat detection, and the advancement 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 $5.6 billion in 2028 at a compound annual growth rate (CAGR) of 22.8%. The projected growth during the forecast period is driven by several factors, the increasing adoption of cloud-based services, the rising need 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. Key trends expected in this period include the expansion of AI in endpoint security, the use of AI to enhance 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.

The rise in security threats is expected to drive the growth of the Generative AI in cybersecurity market. Security threats exploit system vulnerabilities, leading to unauthorized access, data loss, or other damages. These threats are increasing due to the growing complexity of technology, expanding digital attack surfaces, and the more sophisticated tactics used by cybercriminals. Generative AI in cybersecurity addresses these issues by developing advanced models that predict, detect, and respond to potential risks through continuous data analysis and threat simulations. For example, an April 2023 report from the Department for Science, Innovation, and Technology, a UK government body, revealed that cybercrime impacted 11% of businesses and 8% of charities over the past year. This number rose to 26% of medium-sized businesses, 37% of large businesses, and 25% of high-income charities. As a result, the growing security threats are driving the expansion of the Generative AI in cybersecurity market.

Key players in the Generative AI cybersecurity market are focusing on creating advanced solutions, such as cybersecurity assistants, to maintain their market position. A cybersecurity assistant is a tool or system, often powered by AI or machine learning, that enhances 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 firm, launched a new Generative AI-powered cybersecurity assistant. Built on IBM’s Watsonx AI platform, this tool aims to improve threat detection and response. It features 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 various sources and continually learning from specific client environments to provide more accurate and effective security insights.

In July 2023, Cisco Systems, Inc., a US-based technology company, acquired Armorblox for an undisclosed amount. This acquisition is intended to boost Cisco's cybersecurity capabilities by integrating Armorblox's advanced AI-driven email security solutions, enhancing detection and response to sophisticated threats. Armorblox is a US-based software company specializing in Generative AI for cybersecurity.

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.

North America was the largest region in the Generative AI in cyber security market in 2023. 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.

The countries covered in the Generative AI in cyber security market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

Generative artificial intelligence (AI) in cybersecurity leverages advanced AI techniques to develop systems that predict and model cyber threats, identify vulnerabilities, and enhance security by analyzing data patterns. Its advantages include improved threat detection and response, greater accuracy in pinpointing vulnerabilities, and the ability to adapt and reinforce defenses in real time against evolving cyber threats.

Key types of generative AI applications in cybersecurity encompass threat detection and analysis, adversarial defense, insider threat detection, and network security, among others. Threat detection and analysis utilizes generative AI to pinpoint and evaluate potential threats within a system. The core components include hardware, software, and services, and the relevant technologies consist of generative adversarial networks (GANs), variational autoencoders (VAEs), reinforcement learning (RL), deep neural networks (DNNs), and natural language processing (NLP), among others. These technologies find application across various sectors, including banking, financial services, and insurance (BFSI), healthcare and life sciences, government and defense, retail and e-commerce, manufacturing and industry, information technology (IT) and telecommunications, energy and utilities, and more.

The Generative AI in cyber security market research report is one of a series of new reports that provides Generative AI in cyber security market statistics, including Generative AI in cyber security industry global market size, regional shares, competitors with a Generative AI in cyber security market share, detailed Generative AI in cyber security market segments, market trends and opportunities, and any further data you may need to thrive in the Generative AI in cyber security industry. This Generative AI in cyber security market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

The Generative AI in cyber security market consists of revenues earned by entities by providing services such as vulnerability assessment, incident response automation, security policy enforcement, training and simulation, and automated threat detection and response. The market value includes the value of related goods sold by the service provider or included within the service offering. Generative AI in cyber security market also includes the sale of graphics processing units (GPUs), tensor processing units (TPUs), and field-programmable gate arrays (FPGAs). Values in this market are ‘factory gate’ values, that is, the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

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.

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