PUBLISHER: MarketsandMarkets | PRODUCT CODE: 1540253
PUBLISHER: MarketsandMarkets | PRODUCT CODE: 1540253
The Generative AI cybersecurity market is estimated to accrue a market value of USD 7.1 billion in 2024 and reach USD 40.1 billion by 2030, at a compound annual growth rate (CAGR) of 33.4% between 2024-2030. The generative AI cybersecurity market is rapidly expanding because of two considerations. On one hand, enterprises are increasingly implementing generative AI-powered security solutions to improve threat detection and response capabilities, resulting in a greatly improved overall security posture. The other major driving factor is booming use of generative AI in several industries which has resulted in the establishment of a unique market area devoted to safeguarding AI systems. These include protecting training data, preventing model tampering, and verifying the accuracy of AI-generated results.
Scope of the Report | |
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Years Considered for the Study | 2019-2030 |
Base Year | 2023 |
Forecast Period | 2024-2030 |
Units Considered | USD (Million) |
Segments | By Offering, Generative AI-based Cybersecurity, Cybersecurity for Generative AI, Security Type, End-user, and Region. |
Regions covered | North America, Europe, Asia Pacific, Middle East & Africa, and Latin America |
"By offering, cybersecurity software for generative AI segment is expected to register the fastest market growth rate during the forecast period."
Several significant factors have contributed to the continued adoption of cybersecurity software for generative AI. As generative AI technology gets more widely used, its potential flaws and the value of the data it handles make it an appealing target for cyber criminals. Enterprises are increasingly becoming dependent on generative AI for a variety of applications, ranging from content generation to decision-making processes, highlighting the necessity for strong security measures. The advanced nature of these generative models, specially LLMs, necessitates specialized security protocols that can efficiently reduce hazards. This growing reliance on generative AI, combined with increased awareness of cybersecurity vulnerabilities, is propelling the rapid growth of this section of the AI cybersecurity market.
"By security type, network security segment is expected to account for the largest market share during the forecast period."
As more firms integrate generative AI into their networks, the complexity and volume of data processed has increased, making these networks excellent targets for cyber-attacks. This has led to a rapid rise of network security within the generative AI cybersecurity market, making it the largest segment by security type. The sensitive nature of the information handled by AI systems-ranging from personal data to confidential company insights-requires enhanced security measures. Furthermore, as remote work and cloud computing become the norm, protecting these interconnected systems from intrusions has never been more important. The increased awareness of possible risks, combined with the critical requirement to protect AI-driven processes, pulls the network security segment to the forefront of cybersecurity market.
"By Region, North America to have the largest market share in 2024, and Asia Pacific is slated to grow at the fastest rate during the forecast period."
High frequency of cyber threats, substantial investment in AI research, and an established technical infrastructure has pushed North America as the regional leader in the deployment of generative AI in cybersecurity. The region's thriving tech scene, which includes centers like Silicon Valley, has encouraged creativity and attracted sizeable investments for firms in cybersecurity and artificial intelligence. US based vendors, such as IBM and AWS, are developing cybersecurity guardrails to protect generative AI infrastructure. On the other hand, companies such as Sophos and Palo Alto have infused generative AI into their cybersecurity products for increased threat protection. The US government has also recognized generative AI as an important tool for national security, initiating programs like the National AI Initiative Act.
Asia Pacific is the fastest growing regional market due to digital transformation and massive investments in integrating AI with cybersecurity. China, India and Australia are leading the charge, with China's security spend expected to exceed USD 50 billion by 2026. The region is also experiencing a huge volume of attacks - over 1,800 cyberattacks per organization in early 2023. Government support and investment in innovation is helping organizations integrate generative AI into their cybersecurity frameworks. This combination of high threat, investment and regulation makes Asia Pacific the adopter of new cybersecurity technologies.
Breakdown of primaries
In-depth interviews were conducted with Chief Executive Officers (CEOs), innovation and technology directors, system integrators, and executives from various key organizations operating in the Generative AI cybersecurity market.
The report includes the study of key players offering Generative AI cybersecurity solutions. It profiles major vendors in the Generative AI cybersecurity market. The major players in the Generative AI cybersecurity market include Microsoft (US), IBM (US), Google (US), SentinelOne (US), AWS (US), NVIDIA (US), Cisco (US), CrowdStrike (US), Fortinet (US), Zscaler (US), Trend Micro (Japan), Palo Alto Networks (US), BlackBerry (Canada), Darktrace (UK), F5 (US), Okta (US), Sangfor (China), SecurityScorecard (US), Sophos (UK), Broadcom (US), Trellix (US), Veracode (US), LexisNexis (US), Abnormal Security (US), Adversa AI (Israel), Aquasec (US), BigID (US), Checkmarx (US), Cohesity (US), Credo AI (US), Cybereason (US), DeepKeep (Israel), Elastic NV (US), Flashpoint (US), Lakera (US), MOSTLY AI (Austria), Recorded Future (US), Secureframe (US), Skyflow (US), SlashNext (US), Snyk (US), Tenable (US), TrojAI (Canada), VirusTotal (Spain), XenonStack (UAE), and Zerofox (US).
Research coverage
This research report categorizes the Generative AI cybersecurity Market by Offering (Software and Services), by Software Type (Generative AI-based Cybersecurity Software, Cybersecurity Software for Generative AI), by Software Deployment Mode [Cloud and On-premises]), by Services (Professional Services [Training & Consulting, System Integration & Implementation, and Support & Maintenance] and Managed Services), by Generative AI-based Cybersecurity (Threat Detection & Intelligence Software, Risk Assessment Software, Exposure Management Software, Phishing Simulation & Prevention Software, Remediation Guidance Software, Threat Hunting Platforms, Code Analysis Software), by Cybersecurity for Generative AI (Generative AI Training Data Security, Generative AI Model Security, Generative AI Infrastructure Security, Generative AI Application Security), by Security Type (Database Security, Network Security, Endpoint Security, and Application Security), by End-user (enterprise end-users, cloud hyper scalers, generative AI providers, managed security service providers), and by Region (North America, Europe, Asia Pacific, Middle East & Africa, and Latin America). The scope of the report covers detailed information regarding the major factors, such as drivers, restraints, challenges, and opportunities, influencing the growth of the generative AI cybersecurity market. A detailed analysis of the key industry players has been done to provide insights into their business overview, solutions, and services; key strategies; contracts, partnerships, agreements, new product & service launches, mergers and acquisitions, and recent developments associated with the generative AI cybersecurity market. Competitive analysis of upcoming startups in the generative AI cybersecurity market ecosystem is covered in this report.
Key Benefits of Buying the Report
The report would provide the market leaders/new entrants in this market with information on the closest approximations of the revenue numbers for the overall generative AI cybersecurity market and its subsegments. It would help stakeholders understand the competitive landscape and gain more insights better to position their business and plan suitable go-to-market strategies. It also helps stakeholders understand the pulse of the market and provides them with information on key market drivers, restraints, challenges, and opportunities.