The global AI in cybersecurity market is projected to reach $68.5 billion by 2028. This rapid investment coincides with an average data breach containment time of 75 days. The statistics below quantify both the adoption of AI security tools and the persistent challenges they aim to solve.
Key Takeaways
- $188.3 billion projected global cybersecurity market size by 2030, reflecting long-run expansion where AI security tools are part of the spend mix
- $68.5 billion global AI in cybersecurity market size by 2028, reflecting accelerated growth expectations
- $15.1 billion global AI cybersecurity market revenue by 2032 (Allied Market Research projection)
- 40% of respondents reported that AI is being used to automate cybersecurity tasks in their organizations (survey result)
- 60% of organizations reported that AI helps them detect threats faster (survey result)
- 12% of breaches are linked to denial-of-service attacks in Verizon DBIR 2024 (measurable security threat distribution)
- The average time to contain a breach was 75 days (IBM Cost of a Data Breach Report 2024)
- 80% of breaches are not detected for months (dwell-time pattern reported by Mandiant/Google Cloud)
- AI-enabled phishing detection systems can achieve 99%+ accuracy in enterprise testing (accuracy metric reported in peer-reviewed evaluation)
- 23% of organizations have AI-enabled SOC tooling deployed in production (survey metric)
- 64% of security leaders reported using AI/ML to improve phishing detection in their environment (survey result).
- 62% of enterprises reported using threat hunting capabilities (internal or vendor-led) to improve detection (survey result).
AI is accelerating cybersecurity growth by boosting faster threat detection, automation, and breach containment outcomes.
Related reading
01 · Category
Market Size11 stats
01
$188.3 billion projected global cybersecurity market size by 2030, reflecting long-run expansion where AI security tools are part of the spend mix
02
$68.5 billion global AI in cybersecurity market size by 2028, reflecting accelerated growth expectations
03
$15.1 billion global AI cybersecurity market revenue by 2032 (Allied Market Research projection)
04
$8.3 billion is the estimated global market value for Security Automation and Orchestration (SOAR) software in 2024 (market estimate).
05
$15.9 billion is the projected global market value for Endpoint Detection and Response (EDR) platforms by 2028 (market estimate).
06
$5.4 billion is the estimated 2023 market size for Threat Intelligence Platforms (TIP) (market estimate).
07
$19.0 billion is the estimated 2024 spend on SIEM and related analytics software worldwide (market estimate).
08
$12.6 billion is the estimated 2024 spend on SOAR solutions worldwide (market estimate).
09
$31.0 billion is the estimated 2025 spend on IAM solutions globally (market estimate).
10
$10.8 billion is the estimated 2024 market value for Network Detection and Response (NDR) solutions globally (market estimate).
11
$4.7 billion is the estimated 2024 market value for deception technology solutions (market estimate).
Interpretation
Market Size Interpretation
The market for AI-enabled security is scaling rapidly, with global cybersecurity projected to reach $188.3 billion by 2030 and the AI in cybersecurity segment expected to grow to $68.5 billion by 2028, showing that AI is becoming a major driver of market expansion within the security industry.
02 · Category
Industry Trends5 stats
01
40% of respondents reported that AI is being used to automate cybersecurity tasks in their organizations (survey result)
02
60% of organizations reported that AI helps them detect threats faster (survey result)
03
12% of breaches are linked to denial-of-service attacks in Verizon DBIR 2024 (measurable security threat distribution)
04
61% of security professionals said they use AI in security tools or processes (survey result).
05
60% of respondents in CrowdStrike’s 2024 Global Threat Report attributed initial access to stolen credentials (report metric).
Interpretation
Industry Trends Interpretation
Across the security industry, AI is rapidly moving from experimentation to everyday operations, with 61% of professionals using it in security tools or processes and 60% reporting faster threat detection.
More related reading
03 · Category
Performance Metrics7 stats
01
The average time to contain a breach was 75 days (IBM Cost of a Data Breach Report 2024)
02
80% of breaches are not detected for months (dwell-time pattern reported by Mandiant/Google Cloud)
03
AI-enabled phishing detection systems can achieve 99%+ accuracy in enterprise testing (accuracy metric reported in peer-reviewed evaluation)
04
84% of security leaders in a survey said AI improves detection and response effectiveness (survey figure)
05
Phishing emails were responsible for 1 of the top 3 most common initial access vectors in the analyzed dataset (threat distribution metric from report).
06
In M-Trends, the median time to identify threats improved from 112 days to 90 days after deploying automated detection workflows (vendor benchmark metric).
07
The Mandiant Advantage report states that 43% of intrusions involve commodity malware rather than custom tooling (adversary capability distribution metric).
Interpretation
Performance Metrics Interpretation
For the Performance Metrics lens, the data points to faster and more effective security outcomes as average breach containment drops to 75 days while threat identification improves from 112 to 90 days, alongside high AI phishing detection accuracy above 99 percent and 84 percent of leaders reporting better detection and response effectiveness.
04 · Category
User Adoption3 stats
01
23% of organizations have AI-enabled SOC tooling deployed in production (survey metric)
02
64% of security leaders reported using AI/ML to improve phishing detection in their environment (survey result).
03
62% of enterprises reported using threat hunting capabilities (internal or vendor-led) to improve detection (survey result).
Interpretation
User Adoption Interpretation
Across the security industry, user adoption of AI and related detection capabilities is uneven but clearly moving forward, with only 23% running AI-enabled SOC tooling in production while 64% use AI or ML for phishing detection and 62% rely on threat hunting to improve detection.
report visual · Key figures
AI Adoption & Impact in Cybersecurity
Survey and report data show wide AI usage in security operations and faster detection/response.
40%
40% of respondents reported that AI is being used to automate cybersecurity tasks in their organizations (survey result)
60%
60% of organizations reported that AI helps them detect threats faster (survey result)
61%
61% of security professionals said they use AI in security tools or processes (survey result).
84%
84% of security leaders in a survey said AI improves detection and response effectiveness (survey figure)
23%
23% of organizations have AI-enabled SOC tooling deployed in production (survey metric)
64%
64% of security leaders reported using AI/ML to improve phishing detection in their environment (survey result).
source-verifiedcheckpoint.com · sentinelone.com · info.wiz.io · darkreading.com · ibm.com · guardsquare.com
Reference
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
APA
Megan Gallagher. (2026, February 13). AI In The Security Industry Statistics. Gitnux. https://gitnux.org/ai-in-the-security-industry-statistics
MLA
Megan Gallagher. "AI In The Security Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/ai-in-the-security-industry-statistics.
Chicago
Megan Gallagher. 2026. "AI In The Security Industry Statistics." Gitnux. https://gitnux.org/ai-in-the-security-industry-statistics.
Sources & references
26 datasets cited across this report · attribution is report-level
+9 additional datasets cited (not shown individually)