Key Takeaways
- In 2023, global physical security market revenue was $83.1B and is projected to reach $162.7B by 2030, according to Allied Market Research.
- The global access control market size was $11.5B in 2023 and is projected to reach $28.0B by 2032 (CAGR 10.7%), according to Coherent Market Insights.
- The global smart lock market was valued at $1.83B in 2022 and is projected to reach $6.12B by 2030 (CAGR 16.6%), according to Fortune Business Insights.
- In the UK, 5.5 million households use CCTV, per UK government data (CCTV ownership and usage surveys).
- In the US, approximately 60% of small businesses do not have cybersecurity insurance (not access control specific but adoption barrier), per Hiscox.
- In the US, 76% of organizations use some form of MFA, per Okta 2023 Workforce Report (workforce access controls).
- Verizon DBIR 2024: 26% of breaches involved credential misuse (which access control and authentication aim to mitigate).
- Verizon DBIR 2024: 19% of breaches involved stolen credentials (credential theft).
- Verizon DBIR 2024: 22% of breaches involved phishing (often leads to unauthorized access).
- NIST SP 800-63B defines Assurance Levels (AAL) 1, 2, and 3 for authentication.
- NIST SP 800-63B allows memorized secret maximum length restriction and recommends MFA for higher assurance; it defines IAL/AAL with numeric levels 1-3.
- NIST SP 800-63B: MFA requires at least two distinct authenticator classes (something you have, something you are, etc.).
- Badge credentials: Magstripe cards are commonly 125 kHz (LF) RFID; US standard widely used frequency.
- Proximity access control cards typically operate at 125 kHz (LF), per common OEM specs.
- MIFARE Classic uses 13.56 MHz (HF) contactless smart card technology.
Access control is booming, with market revenue projected to more than double through 2030 as MFA and identity security rise.
Related reading
Market size & growth
Market size & growth Interpretation
More related reading
Adoption & usage
Adoption & usage Interpretation
More related reading
Threats, breaches & vulnerabilities
Threats, breaches & vulnerabilities Interpretation
More related reading
Standards, controls & technical requirements
Standards, controls & technical requirements Interpretation
More related reading
Use cases & technologies
Use cases & technologies 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.
Diana Reeves. (2026, February 13). Access Control Industry Statistics. Gitnux. https://gitnux.org/access-control-industry-statistics
Diana Reeves. "Access Control Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/access-control-industry-statistics.
Diana Reeves. 2026. "Access Control Industry Statistics." Gitnux. https://gitnux.org/access-control-industry-statistics.
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