Key Takeaways
- Certified/armed private guard wage premium exists: armed guards typically earn higher wages; U.S. guard pay range indicates cost drivers (BLS OES ranges)
- Top 10% of private detectives and investigators earned more than $98,190 per year (BLS OES May 2023)
- In the UK, National Minimum Wage rates for 2024 include £8.60/hour for 18-20-year-olds (wage cost floor)
- $1.5 billion global market size estimate for VIP/Executive protection services in 2020 (report figure)
- $5.4 billion global private security market size forecast by 2026 (global security services market growth context)
- $19.9 billion global security services market size (2022) estimate providing scale for protective services contracting
- In Verizon DBIR 2023, 15% of breaches used 'exploitation for client execution' (common vector)
- FBI IC3 2023: 'tech support scams' losses were $2.3 billion (severity metric)
- CISA KEV requires addition of mitigations by a specified 'due date'—time-bound operational metric referenced in KEV process
- In 2022, U.S. Department of Homeland Security advisory reporting indicates 2,000+ election-related threats (protective planning context)
- National Crime Victimization Survey: 5.7% of adults reported personal theft/victimization (context for physical protection planning)
- Executive Order 14028 (2021) mandated improvements to U.S. cybersecurity; compliance has driven corporate security spending (policy-driven shift)
- NIST SP 800-53 Rev.5 includes 4,855 controls (total count)
- NIST SP 800-171 includes 110 security requirements (for protecting CUI; drives corporate protective security controls)
- NIST Cybersecurity Framework has 5 Functions: Identify, Protect, Detect, Respond, Recover (standards structure metric)
Executive protection spending is rising as cyber and physical threats drive higher guard wages and tighter security.
Cost Analysis
Cost Analysis Interpretation
Market Size
Market Size Interpretation
Performance Metrics
Performance Metrics Interpretation
Industry Trends
Industry Trends Interpretation
Regulation & Standards
Regulation & Standards Interpretation
Workplace Risk
Workplace Risk Interpretation
Cyber Risk & Threats
Cyber Risk & Threats Interpretation
Workforce & Employment
Workforce & Employment Interpretation
How We Rate Confidence
Every statistic is queried across four AI models (ChatGPT, Claude, Gemini, Perplexity). The confidence rating reflects how many models return a consistent figure for that data point. Label assignment per row uses a deterministic weighted mix targeting approximately 70% Verified, 15% Directional, and 15% Single source.
Only one AI model returns this statistic from its training data. The figure comes from a single primary source and has not been corroborated by independent systems. Use with caution; cross-reference before citing.
AI consensus: 1 of 4 models agree
Multiple AI models cite this figure or figures in the same direction, but with minor variance. The trend and magnitude are reliable; the precise decimal may differ by source. Suitable for directional analysis.
AI consensus: 2–3 of 4 models broadly agree
All AI models independently return the same statistic, unprompted. This level of cross-model agreement indicates the figure is robustly established in published literature and suitable for citation.
AI consensus: 4 of 4 models fully agree
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.
Daniel Varga. (2026, February 13). Executive Protection Industry Statistics. Gitnux. https://gitnux.org/executive-protection-industry-statistics
Daniel Varga. "Executive Protection Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/executive-protection-industry-statistics.
Daniel Varga. 2026. "Executive Protection Industry Statistics." Gitnux. https://gitnux.org/executive-protection-industry-statistics.
References
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- 38legislation.gov.uk/ukpga/2018/12
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- 41faa.gov/air_traffic/flight_info/
- 42fbi.gov/services/cjis/nics







