AI in Video Surveillance Market- Growth, Share, Opportunities & Competitive Analysis, 2024 – 2032
Description
Market Overview
The AI in Video Surveillance Market is projected to grow from USD 5,750 million in 2024 to USD 32,140 million by 2032, registering a robust compound annual growth rate (CAGR) of 24%.
This significant growth is driven by escalating public safety concerns, rising crime rates, and increasing demand for intelligent security solutions across various sectors. AI-powered surveillance enhances real-time monitoring capabilities, enabling faster threat detection and response through technologies such as facial recognition, object detection, and behavioral analysis. Ongoing advancements in deep learning, edge computing, and cloud-based video analytics are further accelerating adoption. Industries including transportation, retail, and critical infrastructure are increasingly implementing AI-enabled surveillance systems to improve situational awareness and operational efficiency. Additionally, the convergence of AI with IoT and 5G technology is strengthening data processing capabilities and facilitating real-time decision-making. Government-led smart city initiatives, aimed at modernizing urban infrastructure and reinforcing public safety, are also fueling demand. These trends collectively position AI-based surveillance systems as a cornerstone of next-generation security infrastructure.
Market Drivers
Technological Advancements in AI and Video Analytics
The integration of artificial intelligence with video surveillance is being propelled by innovations in machine learning, deep learning, and real-time video analytics. AI-powered systems offer advanced features such as anomaly detection, facial and object recognition, and behavioral analysis, transforming traditional video monitoring into proactive and intelligent surveillance. Leading companies like Hikvision and Dahua Technology are pioneering these advancements, delivering systems that significantly reduce human intervention while improving accuracy and response times. Furthermore, the rise of edge computing and cloud-based analytics has enabled scalable deployment and enhanced performance, making AI-driven surveillance solutions increasingly viable across both large enterprises and small-scale operations.
Market Challenges Analysis
Data Privacy and Regulatory Compliance
A major constraint for the AI in video surveillance market is the growing concern surrounding data privacy and regulatory obligations. The use of AI-based surveillance technologies that capture and process sensitive personal data, including facial and behavioral information, has drawn regulatory scrutiny globally. Regulations such as the General Data Protection Regulation (GDPR) in Europe and the California Consumer Privacy Act (CCPA) in the U.S. impose stringent requirements for data collection, usage, and retention. Achieving compliance with these mandates necessitates investment in robust data governance frameworks, encryption technologies, and privacy-by-design system architectures. Non-compliance risks severe financial penalties and reputational harm, presenting a challenge for wider deployment of AI surveillance technologies.
Market Segmentation
By Vertical:
Commercial
Residential
Infrastructure
Military & Defense
Public Facility
Industrial
By Offering:
Hardware
Software
Services
By Deployment Mode:
On-Premises
Cloud-Based
By Uses:
Gun Detection
Industrial Temperature Monitoring
Anomaly Detection and Behavior Recognition
Facial Recognition / Person Search
Object Detection and Perimeter Protection
Intrusion Detection and Perimeter Protection
Smoke and Fire Detection
Traffic Flow Analysis / Accident and Incident Detection
False Alarm Filtering
Parking Monitoring
Vehicle Identification and Number Plate Recognition
By Geography:
North America:
United States
Canada
Mexico
Europe:
Germany
France
United Kingdom
Italy
Spain
Rest of Europe
Asia Pacific:
China
Japan
India
South Korea
Southeast Asia
Rest of Asia Pacific
Latin America:
Brazil
Argentina
Rest of Latin America
Middle East & Africa:
GCC Countries
South Africa
Rest of the Middle East and Africa
Key Player Analysis
Dahua Technology
Avigilon (a Motorola Solutions company)
Eagle Eye Networks
Agent Vi
Johnson Controls
Axis Communications
IDIS
Hanwha Techwin
FLIR Systems
Bosch Security Systems
BriefCam
Hikvision
AxxonSoft
Genetec
Honeywell International
The AI in Video Surveillance Market is projected to grow from USD 5,750 million in 2024 to USD 32,140 million by 2032, registering a robust compound annual growth rate (CAGR) of 24%.
This significant growth is driven by escalating public safety concerns, rising crime rates, and increasing demand for intelligent security solutions across various sectors. AI-powered surveillance enhances real-time monitoring capabilities, enabling faster threat detection and response through technologies such as facial recognition, object detection, and behavioral analysis. Ongoing advancements in deep learning, edge computing, and cloud-based video analytics are further accelerating adoption. Industries including transportation, retail, and critical infrastructure are increasingly implementing AI-enabled surveillance systems to improve situational awareness and operational efficiency. Additionally, the convergence of AI with IoT and 5G technology is strengthening data processing capabilities and facilitating real-time decision-making. Government-led smart city initiatives, aimed at modernizing urban infrastructure and reinforcing public safety, are also fueling demand. These trends collectively position AI-based surveillance systems as a cornerstone of next-generation security infrastructure.
Market Drivers
Technological Advancements in AI and Video Analytics
The integration of artificial intelligence with video surveillance is being propelled by innovations in machine learning, deep learning, and real-time video analytics. AI-powered systems offer advanced features such as anomaly detection, facial and object recognition, and behavioral analysis, transforming traditional video monitoring into proactive and intelligent surveillance. Leading companies like Hikvision and Dahua Technology are pioneering these advancements, delivering systems that significantly reduce human intervention while improving accuracy and response times. Furthermore, the rise of edge computing and cloud-based analytics has enabled scalable deployment and enhanced performance, making AI-driven surveillance solutions increasingly viable across both large enterprises and small-scale operations.
Market Challenges Analysis
Data Privacy and Regulatory Compliance
A major constraint for the AI in video surveillance market is the growing concern surrounding data privacy and regulatory obligations. The use of AI-based surveillance technologies that capture and process sensitive personal data, including facial and behavioral information, has drawn regulatory scrutiny globally. Regulations such as the General Data Protection Regulation (GDPR) in Europe and the California Consumer Privacy Act (CCPA) in the U.S. impose stringent requirements for data collection, usage, and retention. Achieving compliance with these mandates necessitates investment in robust data governance frameworks, encryption technologies, and privacy-by-design system architectures. Non-compliance risks severe financial penalties and reputational harm, presenting a challenge for wider deployment of AI surveillance technologies.
Market Segmentation
By Vertical:
Commercial
Residential
Infrastructure
Military & Defense
Public Facility
Industrial
By Offering:
Hardware
Software
Services
By Deployment Mode:
On-Premises
Cloud-Based
By Uses:
Gun Detection
Industrial Temperature Monitoring
Anomaly Detection and Behavior Recognition
Facial Recognition / Person Search
Object Detection and Perimeter Protection
Intrusion Detection and Perimeter Protection
Smoke and Fire Detection
Traffic Flow Analysis / Accident and Incident Detection
False Alarm Filtering
Parking Monitoring
Vehicle Identification and Number Plate Recognition
By Geography:
North America:
United States
Canada
Mexico
Europe:
Germany
France
United Kingdom
Italy
Spain
Rest of Europe
Asia Pacific:
China
Japan
India
South Korea
Southeast Asia
Rest of Asia Pacific
Latin America:
Brazil
Argentina
Rest of Latin America
Middle East & Africa:
GCC Countries
South Africa
Rest of the Middle East and Africa
Key Player Analysis
Dahua Technology
Avigilon (a Motorola Solutions company)
Eagle Eye Networks
Agent Vi
Johnson Controls
Axis Communications
IDIS
Hanwha Techwin
FLIR Systems
Bosch Security Systems
BriefCam
Hikvision
AxxonSoft
Genetec
Honeywell International
Table of Contents
220 Pages
- CHAPTER NO. 1 : INTRODUCTION
- 1.1.1. Report Description
- Purpose of the Report
- USP & Key Offerings
- 1.1.2. Key Benefits for Stakeholders
- 1.1.3. Target Audience
- 1.1.4. Report Scope
- CHAPTER NO. 2 : EXECUTIVE SUMMARY
- 2.1. AI in Video Surveillance Market Snapshot
- 2.1.1. AI in Video Surveillance Market, 2024 - 2032 (USD Million)
- CHAPTER NO. 3 : AI in Video Surveillance Market – INDUSTRY ANALYSIS
- 3.1. Introduction
- 3.2. Market Drivers
- 3.2.1. Advancements in AI and Video Analytics Technologies
- 3.3. Market Restraints
- 3.4. Market Opportunities
- 3.5. Market Challenges Analysis
- 3.5.1. Data Privacy and Regulatory Compliance
- 3.6. Porter’s Five Forces Analysis
- CHAPTER NO. 4 : ANALYSIS COMPETITIVE LANDSCAPE
- 4.1. Company Market Share Analysis – 2024
- 4.2. AI in Video Surveillance Market Company Revenue Market Share, 2024
- 4.3. Company Assessment Metrics, 2024
- 4.4. Start-ups / SMEs Assessment Metrics, 2024
- 4.5. Strategic Developments
- 4.6. Key Players Product Matrix
- CHAPTER NO. 5 : PESTEL & ADJACENT MARKET ANALYSIS
- CHAPTER NO. 6 : AI in Video Surveillance Market – BY Based on Vertical ANALYSIS
- Commercial
- Residential
- Infrastructure
- Military & Defense
- Public Facility
- Industrial
- CHAPTER NO. 7 : AI in Video Surveillance Market – BY Based on Offering ANALYSIS
- Hardware
- Software
- Service
- CHAPTER NO. 8 : AI in Video Surveillance Market – BY Based on Deployment Mode ANALYSIS
- On-premises
- Cloud-based
- CHAPTER NO. 9 : AI in Video Surveillance Market – BY Based on Uses ANALYSIS
- Gun Detection
- Industrial Temperature Monitoring
- Anomaly Detection and Behavior Recognition
- Facial Recognition/Person Search
- Object Detection and Perimeter Protection
- Intrusion Detection and Perimeter Protection
- Smoke and Fire Detection
- Traffic Flow Analysis/Accident and Traffic Incident Detection
- False Alarm Filtering
- Parking Monitoring
- Vehicle Identification and Numberplate Recognition
- CHAPTER NO. 10 : AI in Video Surveillance Market – BY Based on the Geography: ANALYSIS
- North America
- U.S.
- Canada
- Mexico
- Europe
- Germany
- France
- U.K.
- Italy
- Spain
- Rest of Europe
- Asia Pacific
- China
- Japan
- India
- South Korea
- South-east Asia
- Rest of Asia Pacific
- Latin America
- Brazil
- Argentina
- Rest of Latin America
- Middle East & Africa
- GCC Countries
- South Africa
- Rest of the Middle East and Africa
- CHAPTER NO. 11 : COMPANY PROFILES
- 9.1. Dahua Technology
- 9.2. Avigilon (a Motorola Solutions company)
- 9.3. Eagle Eye Networks
- 9.4. Agent Vi
- 9.5. Johnson Controls
- 9.6. Axis Communications
- 9.7. IDIS
- 9.8. Hanwha Techwin
- 9.9. FLIR Systems
- 9.10. Bosch Security SystemsTable of Content
- CHAPTER NO. 1 : INTRODUCTION
- 1.1.1. Report Description
- Purpose of the Report
- USP & Key Offerings
- 1.1.2. Key Benefits for Stakeholders
- 1.1.3. Target Audience
- 1.1.4. Report Scope
- CHAPTER NO. 2 : EXECUTIVE SUMMARY
- 2.1. AI in Video Surveillance Market Snapshot
- 2.1.1. AI in Video Surveillance Market, 2018 - 2032 (USD Million)
- CHAPTER NO. 3 : AI in Video Surveillance Market – INDUSTRY ANALYSIS
- 3.1. Introduction
- 3.2. Market Drivers
- 3.3. Market Restraints
- 3.4. Market Opportunities
- 3.5. Porter’s Five Forces Analysis
- CHAPTER NO. 4 : ANALYSIS COMPETITIVE LANDSCAPE
- 4.1. Company Market Share Analysis – 2023
- 4.2. AI in Video Surveillance Market Company Revenue Market Share, 2023
- 4.3. Company Assessment Metrics, 2023
- 4.4. Start-ups /SMEs Assessment Metrics, 2023
- 4.5. Strategic Developments
- 4.6. Key Players Product Matrix
- CHAPTER NO. 5 : PESTEL & ADJACENT MARKET ANALYSIS
- CHAPTER NO. 6 : AI in Video Surveillance Market – BY Based on Vertical ANALYSIS
- CHAPTER NO. 7 : AI in Video Surveillance Market – BY Based on Offering ANALYSIS
- CHAPTER NO. 8 : AI in Video Surveillance Market – BY Based on Deployment Model ANALYSIS
- CHAPTER NO. 9 : AI in Video Surveillance Market – BY Based on Uses ANALYSIS
- CHAPTER NO. 10 : AI in Video Surveillance Market – BY Based on the Geography: ANALYSIS
- CHAPTER NO. 11 : COMPANY PROFILES
- 9.1. Dahua Technology
- 9.1.1. Company Overview
- 9.1.2. Product Portfolio
- 9.1.3. SWOT Analysis
- 9.1.4. Business Strategy
- 9.1.5. Financial Overview
- 9.2. Avigilon (a Motorola Solutions company)
- 9.3. Eagle Eye Networks
- 9.4. Agent Vi
- 9.5. Johnson Controls
- 9.6. Axis Communications
- 9.7. IDIS
- 9.8. Hanwha Techwin
- 9.9. FLIR Systems
- 9.10. Bosch Security Systems
- 9.11. BriefCam
- 9.12. Hikvision
- 9.13. AxxonSoft
- 9.14. Genetec
- 9.15. Honeywell International
- 9.11. BriefCam
- 9.12. Hikvision
- 9.13. AxxonSoft
- 9.14. Genetec
- 9.15. Honeywell International
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