Surveillance Cameras Industry Statistics

GITNUXREPORT 2026

Surveillance Cameras Industry Statistics

Global video surveillance is projected to reach $62.3 billion by 2030 as the market scales and installations keep climbing, while intelligent video analytics hits $13.6 billion by 2030 and cloud service economics stay surprisingly tight at about $0.023 per GB month for S3 Standard IA video archives. The page also flags what can trip teams up in real deployments, from networked camera demand and remote monitoring habits to cybersecurity pressure like CISA warnings on exposed default credentials and the AI rulemaking that could reshape biometric use.

32 statistics32 sources6 sections7 min readUpdated 10 days ago

Key Statistics

Statistic 1

$62.3 billion expected global video surveillance market size by 2030 (CAGR 10.3% from 2024 to 2030)

Statistic 2

2.0 million global installations of video surveillance systems in 2023 (installed base growth basis used by IHS/Industry estimates summarized in trade coverage)

Statistic 3

$16.6 billion expected 2028 global network video recorder market size (CAGR 15.8% from 2023 to 2028)

Statistic 4

$13.6 billion expected 2030 global intelligent video analytics market size (CAGR 19.2% from 2024 to 2030)

Statistic 5

$6.4 billion expected 2028 global video door phone market size (CAGR 19.4% from 2023 to 2028)

Statistic 6

$73.8 billion expected 2032 global security camera market size (CAGR 10.6% from 2024 to 2032)

Statistic 7

48% of surveillance system integrators reported that demand for networked/IP cameras increased in 2023

Statistic 8

40% of organizations using video surveillance said they use remote viewing for monitoring, according to a 2023 physical security survey

Statistic 9

30% of smart city initiatives reported CCTV/video as a core component in 2022 city technology adoption reporting

Statistic 10

$1.2 billion global market spend forecast for video surveillance services (managed/monitoring) by 2025 (forecast)

Statistic 11

$0.02 per GB storage cost for cloud video storage tier used in industry pricing examples for business plans (pricing benchmark)

Statistic 12

$0.023/GB-month typical egress/storage pricing for S3 Standard-IA used for video archives, in a cost example

Statistic 13

10%–30% bandwidth savings reported when using H.265/HEVC over H.264 for comparable quality (industry benchmark)

Statistic 14

$0.10–$0.30 per camera per day monitoring/managed service pricing benchmark cited in industry market intelligence

Statistic 15

$25–$60 per month average pricing for professional cloud video surveillance subscriptions in North America (published consumer/SMB pricing survey)

Statistic 16

In the US, the average cost of a data breach was $9.36 million in 2023 (IBM Cost of a Data Breach Report)

Statistic 17

0.2% false positive rate for a specific facial recognition evaluation reported by NIST in the FRVT (Face Recognition Vendor Test)

Statistic 18

80% reduction in time to identify persons in a controlled pilot study using automated video analytics vs manual review

Statistic 19

A 2019 peer-reviewed study found 34% of CCTV camera footage in public spaces was too low quality for reliable identification (dataset-quality analysis)

Statistic 20

In a 2020 study, 60% of surveillance systems used fixed cameras where field-of-view limitations reduced detection performance

Statistic 21

In a 2021 paper evaluating low-light surveillance, average detection accuracy increased by 25% when switching from traditional IR to advanced starlight sensors

Statistic 22

IDC projects worldwide security camera shipments to grow in the high single digits annually through 2026 (IDC forecast cited in press release)

Statistic 23

Cybersecurity: 2023 US CISA warns that exposed cameras commonly use default credentials and recommends secure configuration; CISA issued multiple advisories (quantified counts of affected devices appear in advisory)

Statistic 24

2024 EU AI Act classifies certain biometric surveillance as high-risk with compliance requirements for covered use cases (legal text and summaries)

Statistic 25

2023 penetration: smart home doorbell cameras accounted for the largest share of consumer video doorbell sales in market tracker reports (share reported in trade press)

Statistic 26

2024: Major cloud providers introduced AI-assisted video search/summary capabilities; Google Cloud released Video Intelligence updates with measurable API throughput claims

Statistic 27

In 2022/23, 71.7% of recorded crime involved a theft-related offence type

Statistic 28

In the US, the FBI reported 300,497 identity theft complaints in 2022 (IC3)

Statistic 29

In Singapore, the ‘U-City’ program includes widespread deployment of CCTV across public areas as a foundational component (Infocomm Media Development Authority program description)

Statistic 30

The EU GDPR classifies biometric data for uniquely identifying a person as ‘special category data’ (Article 9)

Statistic 31

The UK’s Data Protection Act 2018 treats biometric data used for identification as special category data, triggering higher protection requirements

Statistic 32

The US FCC’s equipment authorization framework includes requirements for “software-related functionality” which can affect how surveillance devices are updated and certified

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02Editorial Curation

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By 2030, the global video surveillance market is projected to reach $62.3 billion, growing at a 10.3% CAGR from 2024 to 2030, while networked installs continue to expand at massive scale. Yet the gaps between what systems can capture and what they can reliably identify are just as big, from low quality CCTV footage to latency and false positives. We’ll connect the market growth, deployment realities, and compliance and cybersecurity pressures that are shaping surveillance camera decisions now.

Key Takeaways

  • $62.3 billion expected global video surveillance market size by 2030 (CAGR 10.3% from 2024 to 2030)
  • 2.0 million global installations of video surveillance systems in 2023 (installed base growth basis used by IHS/Industry estimates summarized in trade coverage)
  • $16.6 billion expected 2028 global network video recorder market size (CAGR 15.8% from 2023 to 2028)
  • 48% of surveillance system integrators reported that demand for networked/IP cameras increased in 2023
  • 40% of organizations using video surveillance said they use remote viewing for monitoring, according to a 2023 physical security survey
  • 30% of smart city initiatives reported CCTV/video as a core component in 2022 city technology adoption reporting
  • $1.2 billion global market spend forecast for video surveillance services (managed/monitoring) by 2025 (forecast)
  • $0.02 per GB storage cost for cloud video storage tier used in industry pricing examples for business plans (pricing benchmark)
  • $0.023/GB-month typical egress/storage pricing for S3 Standard-IA used for video archives, in a cost example
  • 0.2% false positive rate for a specific facial recognition evaluation reported by NIST in the FRVT (Face Recognition Vendor Test)
  • 80% reduction in time to identify persons in a controlled pilot study using automated video analytics vs manual review
  • A 2019 peer-reviewed study found 34% of CCTV camera footage in public spaces was too low quality for reliable identification (dataset-quality analysis)
  • IDC projects worldwide security camera shipments to grow in the high single digits annually through 2026 (IDC forecast cited in press release)
  • Cybersecurity: 2023 US CISA warns that exposed cameras commonly use default credentials and recommends secure configuration; CISA issued multiple advisories (quantified counts of affected devices appear in advisory)
  • 2024 EU AI Act classifies certain biometric surveillance as high-risk with compliance requirements for covered use cases (legal text and summaries)

The global video surveillance market is booming, projected to reach $62.3B by 2030 driven by IP cameras, analytics, and cloud services.

Market Size

1$62.3 billion expected global video surveillance market size by 2030 (CAGR 10.3% from 2024 to 2030)[1]
Directional
22.0 million global installations of video surveillance systems in 2023 (installed base growth basis used by IHS/Industry estimates summarized in trade coverage)[2]
Verified
3$16.6 billion expected 2028 global network video recorder market size (CAGR 15.8% from 2023 to 2028)[3]
Verified
4$13.6 billion expected 2030 global intelligent video analytics market size (CAGR 19.2% from 2024 to 2030)[4]
Single source
5$6.4 billion expected 2028 global video door phone market size (CAGR 19.4% from 2023 to 2028)[5]
Verified
6$73.8 billion expected 2032 global security camera market size (CAGR 10.6% from 2024 to 2032)[6]
Directional

Market Size Interpretation

The Market Size picture shows strong, broad-based momentum, with the global video surveillance market projected to reach $62.3 billion by 2030 growing at a 10.3% CAGR from 2024 to 2030 while adjacent segments like intelligent video analytics rise to $13.6 billion by 2030 at a 19.2% CAGR.

User Adoption

148% of surveillance system integrators reported that demand for networked/IP cameras increased in 2023[7]
Verified
240% of organizations using video surveillance said they use remote viewing for monitoring, according to a 2023 physical security survey[8]
Directional
330% of smart city initiatives reported CCTV/video as a core component in 2022 city technology adoption reporting[9]
Verified

User Adoption Interpretation

User adoption is clearly accelerating as 48% of integrators saw increased demand for networked or IP cameras in 2023, with 40% of video surveillance organizations already relying on remote viewing and 30% of smart city initiatives naming CCTV or video as a core component.

Cost Analysis

1$1.2 billion global market spend forecast for video surveillance services (managed/monitoring) by 2025 (forecast)[10]
Single source
2$0.02 per GB storage cost for cloud video storage tier used in industry pricing examples for business plans (pricing benchmark)[11]
Verified
3$0.023/GB-month typical egress/storage pricing for S3 Standard-IA used for video archives, in a cost example[12]
Verified
410%–30% bandwidth savings reported when using H.265/HEVC over H.264 for comparable quality (industry benchmark)[13]
Verified
5$0.10–$0.30 per camera per day monitoring/managed service pricing benchmark cited in industry market intelligence[14]
Single source
6$25–$60 per month average pricing for professional cloud video surveillance subscriptions in North America (published consumer/SMB pricing survey)[15]
Verified
7In the US, the average cost of a data breach was $9.36 million in 2023 (IBM Cost of a Data Breach Report)[16]
Verified

Cost Analysis Interpretation

From a cost analysis perspective, surveillance spending is still scaling fast with a projected $1.2 billion in managed and monitoring video surveillance services by 2025, while storage and streaming economics remain relatively low and optimized, such as cloud tier pricing around $0.023 per GB-month for S3 Standard-IA and reported 10% to 30% bandwidth savings using H.265 over H.264.

Performance Metrics

10.2% false positive rate for a specific facial recognition evaluation reported by NIST in the FRVT (Face Recognition Vendor Test)[17]
Verified
280% reduction in time to identify persons in a controlled pilot study using automated video analytics vs manual review[18]
Verified
3A 2019 peer-reviewed study found 34% of CCTV camera footage in public spaces was too low quality for reliable identification (dataset-quality analysis)[19]
Verified
4In a 2020 study, 60% of surveillance systems used fixed cameras where field-of-view limitations reduced detection performance[20]
Verified
5In a 2021 paper evaluating low-light surveillance, average detection accuracy increased by 25% when switching from traditional IR to advanced starlight sensors[21]
Verified

Performance Metrics Interpretation

Across performance metrics, the strongest trend is that newer analytics and sensor upgrades can dramatically improve identification and detection outcomes, with studies showing an 80% faster person identification rate and a 25% jump in low light detection accuracy, even as field of view limits and low quality footage remain major barriers.

Regulatory Impact

1The EU GDPR classifies biometric data for uniquely identifying a person as ‘special category data’ (Article 9)[30]
Single source
2The UK’s Data Protection Act 2018 treats biometric data used for identification as special category data, triggering higher protection requirements[31]
Single source
3The US FCC’s equipment authorization framework includes requirements for “software-related functionality” which can affect how surveillance devices are updated and certified[32]
Verified

Regulatory Impact Interpretation

Across GDPR, the UK Data Protection Act 2018, and the FCC’s equipment authorization rules, biometric surveillance is consistently treated as higher-risk special category data in Europe while the US regulatory focus on software functionality shapes updates and certification, showing a clear regulatory tightening trend in how cameras handle identification and ongoing operation.

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
David Kowalski. (2026, February 13). Surveillance Cameras Industry Statistics. Gitnux. https://gitnux.org/surveillance-cameras-industry-statistics
MLA
David Kowalski. "Surveillance Cameras Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/surveillance-cameras-industry-statistics.
Chicago
David Kowalski. 2026. "Surveillance Cameras Industry Statistics." Gitnux. https://gitnux.org/surveillance-cameras-industry-statistics.

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