CHICAGO, July 26,
2024 /PRNewswire/ -- The 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,
according to a new report by MarketsandMarkets™. This growth
trajectory reflects a robust compound annual growth rate (CAGR) of
33.4% over the forecast period.
Browse in-depth TOC on "Generative AI
cybersecurity Market"
350 - Tables
60 - Figures
450 - Pages
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Scope of the Report
Report
Metrics
|
Details
|
Market size available
for years
|
2019–2030
|
Base year
considered
|
2023
|
Forecast
period
|
2024–2030
|
Forecast
units
|
USD
(Million)
|
Segments
Covered
|
Offering, Generative
AI-based Cybersecurity, Cybersecurity for Generative AI, Security
Type, End-user, and Region
|
Geographies
covered
|
North America, Europe,
Asia Pacific, Middle East & Africa, and Latin
America
|
Companies
covered
|
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).
|
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 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 infrastructure,
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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Top Key Companies in Generative AI
cybersecurity Market:
The major players in the generative AI cybersecurity market
include Palo Alto Networks (US), AWS
(US), CrowdStrike (US), SentinelOne (US), and Google (US),
along with SMEs and startups such as MOSTLY AI (Austria), XenonStack (UAE), BigID (US),
Abnormal Security (US), and Adversa AI (Israel).
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