Generative AI Cybersecurity Market Growth Predicted to Reach
$40.1 billion by 2030

The report for Generative
AI Cybersecurity Market is anticipated to experience substantial
expansion, ascending from a value of USD 7.1 billion in 2024 to a substantial
worth of USD 40.1 billion by the year 2030.

This growth trajectory reflects a robust compound annual
growth rate (CAGR) of 33.4% over the forecast period. This dramatic surge is
being fueled by a number of causes. The primary growth driver is the
enhancement of existing cybersecurity tools through generative AI algorithms by
improving anomaly detection, automating threat hunting and penetration testing,
and providing complex simulations for security testing purposes. These
techniques enable various cyber attack scenarios that can be simulated using the
Generative Adversarial Networks (GANs), thus enabling the development of better
preparedness and response strategies. On the other hand, it requires special
cyber security tools to protect generative AI workloads against unique
vulnerabilities such as adversarial attacks, model inversions and LLM
poisoning. These tools include differential privacy and secure multi-party
computation that are integrated into AI systems for training and deployment
data protection purposes.

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Generative AI Cybersecurity Market Dynamics

Drivers

·      
Increased
adoption of generative AI driving demand for cybersecurity solutions

·      
Increased
awareness of AI security needs

Restraints

·      
Rising
privacy concerns hindering adoption of generative AI cybersecurity adoption

·      
Lack
of combined AI-cybersecurity expertise stifling market growth

Opportunities

·      
Rapid
advancements in AI research fueling development of more powerful cybersecurity
solutions

·      
Increasing
adoption of scalable and customizable generative AI cybersecurity solutions

List of Top Companies

·      
Palo
Alto Networks (US)

·      
AWS
(US)

·      
CrowdStrike
(US)

·      
SentinelOne
(US)

·      
Google
(US)

·      
MOSTLY
AI (Austria)

·      
XenonStack
(UAE)

·      
BigID
(US)

·      
Abnormal
Security (US)

·      
Adversa
AI (Israel)

Generative AI apps security segment will account for
largest market share during the forecast period.

The cybersecurity landscape is rapidly changing for
generative AI apps, which are already making their way into chatbots, content
creation tools like word processors, and personalized recommendation systems.
According to McAfee, 55% of these programs have had security breaches. This
highlights the dire need for stronger protective measures from unauthorized
access. Several generative AI applications that use adversarial techniques to
force the desired reaction out of intelligent machines. Therefore, there is a
pressing demand in the number of developers who ensure that such machines are
made more robust through techniques like adversarially trained models and
resistant architectures. Finally, the usage of secure enclaves plus
hardware-based security measures is growing off late, mainly aimed at
safeguarding vulnerable AI computations from being tampered with. For instance,
OpenAI has very strict security rules meant to protect GPT models thereby
ensuring data integrity and user privacy.

By end-user, government & defense sector is poised
to account for larger market share in 2024.

Government as well as defense industries are increasingly
resorting to generative AI for cyber security purposes due to the urgency of
protecting sensitive information and national security. According to a recent
CSIS report, AI is being integrated into the cybersecurity framework of 43% of
government agencies which resultantly improves their ability to identify and
counter threats. As an example, the United States Department of Defense has
started using artificial intelligence (AI) based security solutions backed by
generative AI that can create fictitious cyber-attacks, thereby providing them
with enhanced preparedness against advanced types of threats. This technology
also helps these sectors handle and analyze large volumes of data more
effectively, giving valuable insights that will enable them prevent or mitigate
cyber threats. This trend demonstrates an increasing reliance on generative AI
in fortifying cyber security measures so as to ensure that critical
infrastructure and sensitive data remain secure in today’s intricate digital
landscape.

By region, North America to hold the largest share by market
value in 2024

In 2024, North America will be the leading region based on
market share due to its excellent technology infrastucture, substantial
investments in AI-enabled cybersecurity and the presence of key players. Major
cyber security research universities and tech companies such as Google, AWS,
CrowdStrike, SentinelOne and IBM are present in this area, pushing them on the
forefront of potent risk management technologies and generative AI tools for
threat detection. For example, IBM’s security platform powered by AI has
improved detection rates for threats up by 40%, thus proving the relevance of
AI technology to enhancing cybersecurity. Moreover, legislative instruments
such as Cybersecurity Information Sharing Act (CISA) are being put in place to
promote advanced cybersecurity technologies. As internet attacks continue
getting more complicated, North American enterprises prefer generative
artificial intelligence (AI), so as to enhance their safety measures pertaining
to personal data and digital infrastructure.

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