Global AI in Video Surveillance Market to reach USD 20.12 billion by 2032.

March 2025 | 285 pages | ID: GFB1F0C84392EN
Bizwit Research & Consulting LLP

Abstracts

The Global AI in Video Surveillance Market was valued at approximately USD 5.5 billion in 2023 and is expected to expand at a compelling CAGR of 15.5% from 2024 to 2032. Artificial Intelligence (AI) has revolutionized the video surveillance industry by integrating advanced analytics, real-time threat detection, and automated monitoring capabilities. These intelligent surveillance systems are significantly enhancing security operations across commercial, residential, and industrial sectors, enabling real-time alerts, object recognition, facial identification, and behavior analysis. As organizations and governments worldwide focus on strengthening security infrastructures, AI-powered surveillance is rapidly becoming the standard for proactive threat management and smart monitoring solutions.

The increasing global security concerns, rising crime rates, and demand for real-time surveillance analytics are driving the adoption of AI-integrated video surveillance. Governments and enterprises are deploying AI-based facial recognition, automated license plate recognition (ALPR), and anomaly detection systems to improve security, optimize response times, and minimize human intervention in surveillance operations. Additionally, advancements in machine learning (ML) algorithms, edge computing, and deep neural networks have significantly enhanced the accuracy and efficiency of AI-powered surveillance cameras. Moreover, cloud-based video analytics and cybersecurity-driven AI solutions are creating lucrative opportunities for market growth, particularly in smart cities, border control, and law enforcement applications.

Despite its enormous potential, the market faces challenges such as privacy concerns, data security risks, and regulatory limitations governing AI surveillance technology. The increasing use of facial recognition software and biometric authentication systems has led to debates surrounding ethical surveillance and data protection laws. Additionally, high implementation costs, lack of AI expertise, and cybersecurity vulnerabilities could hinder mass adoption in certain regions. However, ongoing technological advancements, government-led smart security initiatives, and growing investments in AI-driven video analytics are expected to mitigate these concerns, propelling the market forward.

Regionally, North America dominates the AI in video surveillance market, owing to widespread deployment of AI-powered security solutions in law enforcement, defense, and commercial establishments. The United States and Canada are leading the adoption of AI-integrated surveillance for national security, corporate monitoring, and smart city projects. Meanwhile, Europe follows closely, driven by stringent security policies, GDPR compliance mandates, and increased AI adoption in public infrastructure surveillance. The Asia-Pacific (APAC) region is projected to witness the fastest growth, as governments in China, India, and Japan heavily invest in AI-based surveillance for public safety, traffic management, and border security. The region's booming e-commerce and retail sector is also fueling demand for AI-powered fraud detection and theft prevention systems.

Major market players included in this report are:

• Hikvision Digital Technology Co., Ltd.
• Dahua Technology Co., Ltd.
• Axis Communications AB
• Avigilon (Motorola Solutions, Inc.)
• Honeywell International Inc.
• Bosch Security and Safety Systems
• IBM Corporation
• Cisco Systems, Inc.
• Huawei Technologies Co., Ltd.
• Nvidia Corporation
• Intel Corporation
• Palantir Technologies Inc.
• BriefCam Ltd.
• Sensory Inc.
• Cognitec Systems GmbH

The detailed segments and sub-segments of the market are explained below:

By Component:

• Hardware
• Software
• Services

By Deployment:

• Cloud-based
• On-Premise

By End Users:

• Commercial
• Residential
• Infrastructure
• Defense and Military
• Public Facility
• Industrial

By Use Cases:

• Facial Recognition
• License Plate Recognition
• Perimeter Security
• Anomaly Detection
• Crowd Management
• Retail Analytics
• Others

By Region:

North America:

• U.S.
• Canada

Europe:

• UK
• Germany
• France
• Spain
• Italy
• Rest of Europe

Asia Pacific:

• China
• India
• Japan
• Australia
• South Korea
• Rest of Asia Pacific

Latin America:

• Brazil
• Mexico
• Rest of Latin America

Middle East & Africa:

• Saudi Arabia
• South Africa
• Rest of Middle East & Africa

Years considered for the study are as follows:

• Historical year – 2022
• Base year – 2023
• Forecast period – 2024 to 2032

Key Takeaways:

• Market Estimates & Forecast for 10 years from 2022 to 2032.
• Annualized revenues and regional-level analysis for each market segment.
• Detailed analysis of the geographical landscape with country-level insights.
• Competitive landscape with information on key industry players.
• Analysis of business strategies and recommendations on future market approach.
• Examination of the competitive market structure.
• Demand-side and supply-side analysis of the market.

Contents

CHAPTER 1.GLOBAL AI IN VIDEO SURVEILLANCE MARKET EXECUTIVE SUMMARY

1.1.Global AI in Video Surveillance Market Size & Forecast (2022-2032)
1.2.Regional Summary
1.3.Segmental Summary
  1.3.1.By Component
  1.3.2.By Deployment
  1.3.3.By End Users
  1.3.4.By Use Cases
1.4.Key Trends
1.5.Recession Impact
1.6.Analyst Recommendation & Conclusion

CHAPTER 2.GLOBAL AI IN VIDEO SURVEILLANCE MARKET DEFINITION AND RESEARCH ASSUMPTIONS

2.1.Research Objective
2.2.Market Definition
2.3.Research Assumptions
  2.3.1.Inclusion & Exclusion
  2.3.2.Limitations
  2.3.3.Supply Side Analysis
    2.3.3.1.Availability
    2.3.3.2.Infrastructure
    2.3.3.3.Regulatory Environment
    2.3.3.4.Market Competition
    2.3.3.5.Economic Viability (Consumer’s Perspective)
  2.3.4.Demand Side Analysis
    2.3.4.1.Regulatory Frameworks
    2.3.4.2.Technological Advancements
    2.3.4.3.Environmental Considerations
    2.3.4.4.Consumer Awareness & Acceptance
2.4.Estimation Methodology
2.5.Years Considered for the Study
2.6.Currency Conversion Rates

CHAPTER 3.GLOBAL AI IN VIDEO SURVEILLANCE MARKET DYNAMICS

3.1.Market Drivers
  3.1.1.Increasing Demand for Real-Time Surveillance Analytics
  3.1.2.Rising Global Security Concerns and Crime Rates
  3.1.3.Advancements in Machine Learning and Edge Computing
3.2.Market Challenges
  3.2.1.Privacy Concerns and Data Security Risks
  3.2.2.High Implementation Costs and Lack of AI Expertise
3.3.Market Opportunities
  3.3.1.Growth in Cloud-Based Video Analytics and Cybersecurity Solutions
  3.3.2.Expanding Smart City and Public Infrastructure Initiatives
  3.3.3.Government-Led Security Programs and Regulatory Support

CHAPTER 4.GLOBAL AI IN VIDEO SURVEILLANCE MARKET INDUSTRY ANALYSIS

4.1.Porter’s 5 Force Model
  4.1.1.Bargaining Power of Suppliers
  4.1.2.Bargaining Power of Buyers
  4.1.3.Threat of New Entrants
  4.1.4.Threat of Substitutes
  4.1.5.Competitive Rivalry
  4.1.6.Futuristic Approach to Porter’s 5 Force Model
  4.1.7.Porter’s 5 Force Impact Analysis
4.2.PESTEL Analysis
  4.2.1.Political
  4.2.2.Economical
  4.2.3.Social
  4.2.4.Technological
  4.2.5.Environmental
  4.2.6.Legal
4.3.Top Investment Opportunity
4.4.Top Winning Strategies
4.5.Disruptive Trends
4.6.Industry Expert Perspective
4.7.Analyst Recommendation & Conclusion

CHAPTER 5.GLOBAL AI IN VIDEO SURVEILLANCE MARKET SIZE & FORECASTS BY COMPONENT 2022-2032

5.1.Segment Dashboard
5.2.Global AI in Video Surveillance Market: Component Revenue Trend Analysis, 2022 & 2032 (USD Million/Billion)

CHAPTER 6.GLOBAL AI IN VIDEO SURVEILLANCE MARKET SIZE & FORECASTS BY DEPLOYMENT 2022-2032

6.1.Segment Dashboard
6.2.Global AI in Video Surveillance Market: Deployment Revenue Trend Analysis, 2022 & 2032 (USD Million/Billion)

CHAPTER 7.GLOBAL AI IN VIDEO SURVEILLANCE MARKET SIZE & FORECASTS BY END USERS 2022-2032

7.1.Segment Dashboard
7.2.Global AI in Video Surveillance Market: End Users Revenue Trend Analysis, 2022 & 2032 (USD Million/Billion)

CHAPTER 8.GLOBAL AI IN VIDEO SURVEILLANCE MARKET SIZE & FORECASTS BY USE CASES 2022-2032

8.1.Segment Dashboard
8.2.Global AI in Video Surveillance Market: Use Cases Revenue Trend Analysis, 2022 & 2032 (USD Million/Billion)

CHAPTER 9.GLOBAL AI IN VIDEO SURVEILLANCE MARKET SIZE & FORECASTS BY REGION 2022-2032

9.1.North America AI in Video Surveillance Market
  9.1.1.U.S. AI in Video Surveillance Market
  9.1.2.Canada AI in Video Surveillance Market
9.2.Europe AI in Video Surveillance Market
  9.2.1.UK AI in Video Surveillance Market
  9.2.2.Germany AI in Video Surveillance Market
  9.2.3.France AI in Video Surveillance Market
  9.2.4.Spain AI in Video Surveillance Market
  9.2.5.Italy AI in Video Surveillance Market
  9.2.6.Rest of Europe AI in Video Surveillance Market
9.3.Asia-Pacific AI in Video Surveillance Market
  9.3.1.China AI in Video Surveillance Market
  9.3.2.India AI in Video Surveillance Market
  9.3.3.Japan AI in Video Surveillance Market
  9.3.4.Australia AI in Video Surveillance Market
  9.3.5.South Korea AI in Video Surveillance Market
  9.3.6.Rest of Asia-Pacific AI in Video Surveillance Market
9.4.Latin America AI in Video Surveillance Market
  9.4.1.Brazil AI in Video Surveillance Market
  9.4.2.Mexico AI in Video Surveillance Market
  9.4.3.Rest of Latin America AI in Video Surveillance Market
9.5.Middle East & Africa AI in Video Surveillance Market
  9.5.1.Saudi Arabia AI in Video Surveillance Market
  9.5.2.South Africa AI in Video Surveillance Market
  9.5.3.Rest of Middle East & Africa AI in Video Surveillance Market

CHAPTER 10.COMPETITIVE INTELLIGENCE

10.1.Key Company SWOT Analysis
  10.1.1.Hikvision Digital Technology Co., Ltd.
  10.1.2.Dahua Technology Co., Ltd.
  10.1.3.Axis Communications AB
10.2.Top Market Strategies
10.3.Company Profiles
  10.3.1.Hikvision Digital Technology Co., Ltd.
    10.3.1.1.Key Information
    10.3.1.2.Overview
    10.3.1.3.Financial (Subject to Data Availability)
    10.3.1.4.Product Summary
    10.3.1.5.Market Strategies
  10.3.2.Avigilon (Motorola Solutions, Inc.)
  10.3.3.Honeywell International Inc.
  10.3.4.Bosch Security and Safety Systems
  10.3.5.IBM Corporation
  10.3.6.Cisco Systems, Inc.
  10.3.7.Huawei Technologies Co., Ltd.
  10.3.8.Nvidia Corporation
  10.3.9.Intel Corporation
  10.3.10.Palantir Technologies Inc.
  10.3.11.BriefCam Ltd.
  10.3.12.Sensory Inc.
  10.3.13.Cognitec Systems GmbH

CHAPTER 11.RESEARCH PROCESS

11.1.Research Process
  11.1.1.Data Mining
  11.1.2.Analysis
  11.1.3.Market Estimation
  11.1.4.Validation
  11.1.5.Publishing
11.2.Research Attributes