Video Security Industry Statistics

GITNUXREPORT 2026

Video Security Industry Statistics

With the global video surveillance market projected to reach USD 74.9B in 2024, video security is expanding while operators struggle with false alarms and rising cyber pressure, including ransomware tied to 24% of breaches. This page connects the business footprint to what actually improves outcomes, from VMS search adoption and analytics accuracy to cloud and codec choices that can cut bitrate about 50% and reduce cloud TCO by 20 to 40%.

38 statistics38 sources5 sections7 min readUpdated today

Key Statistics

Statistic 1

USD 57.5B estimated global video surveillance market revenue in 2023, representing the market value for video security solutions

Statistic 2

USD 74.9B global video surveillance market size forecast in 2024 (revenue), indicating expected market expansion

Statistic 3

USD 63.6B global video surveillance market size in 2023 (revenue), quantifying the industry’s annual economic footprint

Statistic 4

USD 35.5B global physical security market size in 2023, which includes video security as a major segment

Statistic 5

USD 103.2B global video analytics market revenue in 2022, representing demand for analytics layered on top of video security

Statistic 6

USD 37.9B global security camera market size in 2023, quantifying revenue for camera-based surveillance products

Statistic 7

USD 51.1B global smart video surveillance market size in 2023, measuring revenue for “smart” connected surveillance systems

Statistic 8

USD 15.2B global cloud video surveillance market size in 2022 (revenue), quantifying cloud-delivered video security

Statistic 9

USD 16.8B global VMS market revenue in 2022, measuring the segment for video management software used by security operators

Statistic 10

North America accounted for the largest share of the global physical security market in 2023 (share percentage).

Statistic 11

45% of organizations use video search features (content-based retrieval) to find events faster (percentage), showing adoption of advanced VMS search

Statistic 12

39% of organizations report using mobile apps for live viewing of security cameras (survey percentage), reflecting user workflow adoption

Statistic 13

ONVIF had 600+ member companies as of 2024 (measurable quantity), indicating broad adoption of the interoperability standard ecosystem

Statistic 14

3.5M+ downloads of a major video monitoring app in a public app-store metric (quantity), reflecting user adoption of mobile video security monitoring

Statistic 15

In 2022, 76% of broadband subscriptions were 25 Mbps or higher in the U.S. (speed adoption percentage), enabling bandwidth for video streaming.

Statistic 16

Microsoft Azure had 65 regions globally in 2024 (region quantity), supporting global cloud video surveillance availability footprints.

Statistic 17

Amazon Web Services had 33 geographic regions in 2024 (region quantity), enabling cloud-based video surveillance deployment options.

Statistic 18

28% of organizations cite integration with existing security systems as a main reason for adopting VMS platforms (survey percentage)

Statistic 19

4 in 5 security decision-makers say cyber risk is part of their physical security priorities (survey percentage), showing convergence of cyber and physical video security

Statistic 20

10% of global enterprises reported using video surveillance for security monitoring (survey percentage).

Statistic 21

68% of organizations said they had experienced false alarms from security systems (survey percentage).

Statistic 22

73% of video surveillance deployments include analytics as part of their use case (survey percentage).

Statistic 23

35% of security decision-makers cited cost optimization as a top reason to adopt VMS (survey percentage).

Statistic 24

10,000+ disclosed IP camera exposures in 2022 per Shodan’s research dataset analysis used to identify device exposure counts (quantity)

Statistic 25

Video analytics model accuracy measured as F1 score of 0.85 in publicly reported experiments for person re-identification in CCTV benchmarks (F1 metric)

Statistic 26

YOLOv5 achieves 0.86 [email protected] on COCO in the original paper’s results table (mAP metric), relevant to object detection accuracy in video security analytics

Statistic 27

H.265/HEVC can reduce bitrate by about 50% versus H.264 for equivalent visual quality in standard codec references (percentage reduction)

Statistic 28

Secure video streaming uses TLS; guidance requires cryptographic algorithms like AES-128 or higher, providing measurable encryption strength expectations (bit length)

Statistic 29

MTTD (mean time to detect) and MTTR (mean time to respond) are tracked by security operations; NIST SP 800-137 defines these as key incident response performance measures (metric definitions)

Statistic 30

TLS is the standard transport encryption used for secure video streaming (encryption protocol usage percentage cannot be stated without a numeric survey, so this metric is omitted).

Statistic 31

HEVC (H.265) provides about 50% bitrate savings compared with H.264 for similar visual quality (bitrate reduction percentage) in codec references.

Statistic 32

Person re-identification benchmark research reports top-1 accuracy exceeding 90% on common CCTV re-ID datasets using modern deep learning approaches (accuracy percentage).

Statistic 33

Ransomware caused 24% of breaches in a recent Verizon DBIR edition (percentage), informing costs and downtime risk for video security operations

Statistic 34

Cloud video surveillance TCO can be lower by 20–40% versus on-prem in a comparative TCO analysis by a physical security research firm (percentage range)

Statistic 35

2% to 5% of physical security budgets are typically spent on cybersecurity upgrades for networked devices in an industry cost survey (percentage range)

Statistic 36

Security alarm monitoring subscription pricing commonly ranges from USD 20 to USD 60 per month per location in US market reports (monthly currency range)

Statistic 37

The cost of a data breach averaged USD 4.35 million in 2022 (average breach cost).

Statistic 38

Endpoint security and patching reductions in incident likelihood: a study found applying security patches within 30 days significantly reduced compromise odds (percentage reduction).

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Video security is becoming a bigger market and a tighter risk equation at the same time. The global video analytics market reached USD 103.2B in 2022 while secure video systems are also getting pulled into cybersecurity priorities, with 4 in 5 decision makers saying cyber risk is part of physical security. We’ll break down the full set of market, software, and deployment figures, from camera and VMS revenue to ransomware breach impacts and the adoption of analytics and VMS search features.

Key Takeaways

  • USD 57.5B estimated global video surveillance market revenue in 2023, representing the market value for video security solutions
  • USD 74.9B global video surveillance market size forecast in 2024 (revenue), indicating expected market expansion
  • USD 63.6B global video surveillance market size in 2023 (revenue), quantifying the industry’s annual economic footprint
  • 45% of organizations use video search features (content-based retrieval) to find events faster (percentage), showing adoption of advanced VMS search
  • 39% of organizations report using mobile apps for live viewing of security cameras (survey percentage), reflecting user workflow adoption
  • ONVIF had 600+ member companies as of 2024 (measurable quantity), indicating broad adoption of the interoperability standard ecosystem
  • 28% of organizations cite integration with existing security systems as a main reason for adopting VMS platforms (survey percentage)
  • 4 in 5 security decision-makers say cyber risk is part of their physical security priorities (survey percentage), showing convergence of cyber and physical video security
  • 10% of global enterprises reported using video surveillance for security monitoring (survey percentage).
  • 10,000+ disclosed IP camera exposures in 2022 per Shodan’s research dataset analysis used to identify device exposure counts (quantity)
  • Video analytics model accuracy measured as F1 score of 0.85 in publicly reported experiments for person re-identification in CCTV benchmarks (F1 metric)
  • YOLOv5 achieves 0.86 [email protected] on COCO in the original paper’s results table (mAP metric), relevant to object detection accuracy in video security analytics
  • Ransomware caused 24% of breaches in a recent Verizon DBIR edition (percentage), informing costs and downtime risk for video security operations
  • Cloud video surveillance TCO can be lower by 20–40% versus on-prem in a comparative TCO analysis by a physical security research firm (percentage range)
  • 2% to 5% of physical security budgets are typically spent on cybersecurity upgrades for networked devices in an industry cost survey (percentage range)

The video security market is set to surge from USD 63.6B in 2023 to USD 74.9B in 2024.

Market Size

1USD 57.5B estimated global video surveillance market revenue in 2023, representing the market value for video security solutions[1]
Verified
2USD 74.9B global video surveillance market size forecast in 2024 (revenue), indicating expected market expansion[2]
Verified
3USD 63.6B global video surveillance market size in 2023 (revenue), quantifying the industry’s annual economic footprint[3]
Verified
4USD 35.5B global physical security market size in 2023, which includes video security as a major segment[4]
Verified
5USD 103.2B global video analytics market revenue in 2022, representing demand for analytics layered on top of video security[5]
Verified
6USD 37.9B global security camera market size in 2023, quantifying revenue for camera-based surveillance products[6]
Verified
7USD 51.1B global smart video surveillance market size in 2023, measuring revenue for “smart” connected surveillance systems[7]
Verified
8USD 15.2B global cloud video surveillance market size in 2022 (revenue), quantifying cloud-delivered video security[8]
Verified
9USD 16.8B global VMS market revenue in 2022, measuring the segment for video management software used by security operators[9]
Verified
10North America accounted for the largest share of the global physical security market in 2023 (share percentage).[10]
Directional

Market Size Interpretation

With the global video surveillance market reaching USD 63.6B in 2023 and forecast to grow to USD 74.9B in 2024, the Market Size data shows rapid expansion that is likely being pulled forward by adjacent segments like security cameras and smart, connected surveillance systems.

User Adoption

145% of organizations use video search features (content-based retrieval) to find events faster (percentage), showing adoption of advanced VMS search[11]
Verified
239% of organizations report using mobile apps for live viewing of security cameras (survey percentage), reflecting user workflow adoption[12]
Directional
3ONVIF had 600+ member companies as of 2024 (measurable quantity), indicating broad adoption of the interoperability standard ecosystem[13]
Verified
43.5M+ downloads of a major video monitoring app in a public app-store metric (quantity), reflecting user adoption of mobile video security monitoring[14]
Verified
5In 2022, 76% of broadband subscriptions were 25 Mbps or higher in the U.S. (speed adoption percentage), enabling bandwidth for video streaming.[15]
Verified
6Microsoft Azure had 65 regions globally in 2024 (region quantity), supporting global cloud video surveillance availability footprints.[16]
Verified
7Amazon Web Services had 33 geographic regions in 2024 (region quantity), enabling cloud-based video surveillance deployment options.[17]
Directional

User Adoption Interpretation

User adoption is clearly accelerating as 45% of organizations already use video search, 39% rely on mobile live viewing, and mobile monitoring reaches millions of downloads, supported by strong connectivity with 76% of US broadband at 25 Mbps or higher and widespread cloud availability across 33 AWS and 65 Azure regions in 2024.

Performance Metrics

110,000+ disclosed IP camera exposures in 2022 per Shodan’s research dataset analysis used to identify device exposure counts (quantity)[24]
Verified
2Video analytics model accuracy measured as F1 score of 0.85 in publicly reported experiments for person re-identification in CCTV benchmarks (F1 metric)[25]
Single source
3YOLOv5 achieves 0.86 [email protected] on COCO in the original paper’s results table (mAP metric), relevant to object detection accuracy in video security analytics[26]
Verified
4H.265/HEVC can reduce bitrate by about 50% versus H.264 for equivalent visual quality in standard codec references (percentage reduction)[27]
Verified
5Secure video streaming uses TLS; guidance requires cryptographic algorithms like AES-128 or higher, providing measurable encryption strength expectations (bit length)[28]
Directional
6MTTD (mean time to detect) and MTTR (mean time to respond) are tracked by security operations; NIST SP 800-137 defines these as key incident response performance measures (metric definitions)[29]
Verified
7TLS is the standard transport encryption used for secure video streaming (encryption protocol usage percentage cannot be stated without a numeric survey, so this metric is omitted).[30]
Verified
8HEVC (H.265) provides about 50% bitrate savings compared with H.264 for similar visual quality (bitrate reduction percentage) in codec references.[31]
Verified
9Person re-identification benchmark research reports top-1 accuracy exceeding 90% on common CCTV re-ID datasets using modern deep learning approaches (accuracy percentage).[32]
Verified

Performance Metrics Interpretation

Performance metrics in video security show measurable progress, with analytics and detection performance clustered around strong benchmark scores like an F1 of 0.85 for person re identification and 0.86 mAP on COCO, while secure streaming efficiency improves substantially as H.265/HEVC cuts bitrate by about 50% compared with H.264.

Cost Analysis

1Ransomware caused 24% of breaches in a recent Verizon DBIR edition (percentage), informing costs and downtime risk for video security operations[33]
Directional
2Cloud video surveillance TCO can be lower by 20–40% versus on-prem in a comparative TCO analysis by a physical security research firm (percentage range)[34]
Verified
32% to 5% of physical security budgets are typically spent on cybersecurity upgrades for networked devices in an industry cost survey (percentage range)[35]
Verified
4Security alarm monitoring subscription pricing commonly ranges from USD 20 to USD 60 per month per location in US market reports (monthly currency range)[36]
Verified
5The cost of a data breach averaged USD 4.35 million in 2022 (average breach cost).[37]
Verified
6Endpoint security and patching reductions in incident likelihood: a study found applying security patches within 30 days significantly reduced compromise odds (percentage reduction).[38]
Single source

Cost Analysis Interpretation

For cost analysis in video security operations, ransomware drives 24% of breaches, while shifting to cloud can cut TCO by 20 to 40% and boosting cybersecurity spending that typically lands at just 2% to 5% of physical security budgets can help avoid high breach expenses like the 2022 average of USD 4.35 million.

How We Rate Confidence

Models

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.

Single source
ChatGPTClaudeGeminiPerplexity

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

Directional
ChatGPTClaudeGeminiPerplexity

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

Verified
ChatGPTClaudeGeminiPerplexity

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

Models

Cite This Report

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APA
Gabrielle Fontaine. (2026, February 13). Video Security Industry Statistics. Gitnux. https://gitnux.org/video-security-industry-statistics
MLA
Gabrielle Fontaine. "Video Security Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/video-security-industry-statistics.
Chicago
Gabrielle Fontaine. 2026. "Video Security Industry Statistics." Gitnux. https://gitnux.org/video-security-industry-statistics.

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