AI in Video Surveillance Market- Growth, Share, Opportunities & Competitive Analysis, 2024 – 2032

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


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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