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Market Research Report

Global AI in Video Surveillance Market Insights, Size, and Forecast By Deployment Mode (On-Premises, Cloud-Based, Hybrid), By Component (Hardware, Software, Services), By End Use (Residential, Commercial, Government), By Technology (Computer Vision, Deep Learning, Machine Learning, Facial Recognition), By Region (North America, Europe, Asia-Pacific, Latin America, Middle East and Africa), Key Companies, Competitive Analysis, Trends, and Projections for 2026-2035

Report ID:29847
Published Date:Jan 2026
No. of Pages:246
Base Year for Estimate:2025
Format:
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Key Market Insights

Global AI in Video Surveillance Market is projected to grow from USD 11.5 Billion in 2025 to USD 75.8 Billion by 2035, reflecting a compound annual growth rate of 16.4% from 2026 through 2035. This market encompasses the integration of artificial intelligence capabilities into video surveillance systems to enhance their analytical power, automate tasks, and improve overall security and operational efficiency. AI in video surveillance involves technologies such as computer vision, machine learning, and deep learning to enable features like facial recognition, object detection and tracking, anomaly detection, behavioral analysis, and predictive analytics. Key market drivers include the escalating demand for enhanced security and public safety across various sectors, the increasing sophistication of AI algorithms, and the proliferation of high-resolution cameras. Furthermore, the growing adoption of smart city initiatives and the need for operational intelligence beyond traditional security functions are significantly propelling market expansion. However, concerns regarding data privacy and ethical implications of AI use, high initial investment costs, and the complexity of integrating diverse systems pose significant market restraints. Despite these challenges, the market presents substantial opportunities in the development of edge AI solutions, the expansion into new application areas such as retail analytics and traffic management, and the increasing demand for cloud based AI surveillance platforms.

Global AI in Video Surveillance Market Value (USD Billion) Analysis, 2025-2035

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16.4%
CAGR from
2025 - 2035
Source:
www.makdatainsights.com

Asia Pacific is positioned as the dominant region in the global AI in video surveillance market. This dominance is primarily driven by rapid urbanization, substantial government investments in smart city projects, and the widespread adoption of advanced surveillance technologies across critical infrastructure and commercial establishments. The region also benefits from a robust manufacturing base for surveillance equipment and a large population demanding enhanced security measures. Concurrently, Asia Pacific is also identified as the fastest growing region. This accelerated growth is fueled by expanding economic development, increasing disposable incomes leading to higher security consciousness, and proactive government initiatives supporting technological advancements in countries like China, India, and Japan. The rapid digitalization across industries and the increasing deployment of AI powered solutions in smart homes and commercial spaces further contribute to its swift expansion.

The market is segmented by Technology, Deployment Mode, Component, and End Use, with the Commercial segment emerging as the leading application area. This reflects the extensive adoption of AI in video surveillance within retail, corporate offices, banking and financial institutions, and hospitality sectors for loss prevention, employee monitoring, and customer behavior analysis. Key players in this evolving landscape include Tyler Technologies, Genetec, Verkada, Cisco Systems, Avigilon, Milestone Systems, Bosch Security Systems, BriefCam, Neurala, and Honeywell. These companies are actively engaged in strategic initiatives such as product innovation, mergers and acquisitions, and collaborations to expand their market reach, enhance their technological capabilities, and maintain a competitive edge. Their strategies focus on developing more accurate and efficient AI algorithms, offering scalable and customizable solutions, and addressing the growing demand for real time analytics and predictive intelligence in various end use industries.

Quick Stats

  • Market Size (2025):

    USD 11.5 Billion

  • Projected Market Size (2035):

    USD 75.8 Billion

  • Leading Segment:

    Commercial (48.7% Share)

  • Dominant Region (2025):

    Asia Pacific (45.2% Share)

  • CAGR (2026-2035):

    16.4%

What is AI in Video Surveillance?

AI in video surveillance leverages machine learning algorithms to analyze video feeds for various purposes. Instead of human monitoring, AI identifies objects, detects events like intrusions or unusual behavior, and tracks individuals or vehicles automatically. This technology enhances security by providing real-time alerts and actionable intelligence from vast amounts of data. Its core concept is to automate threat detection, improve situational awareness, and reduce false positives common in traditional systems. Significance lies in its ability to transform passive cameras into intelligent sensors, making surveillance more proactive, efficient, and reliable for public safety and asset protection.

What are the Trends in Global AI in Video Surveillance Market

  • Hyperconverged Edge AI for Realtime Security

  • Privacy Preserving AI via Federated Learning

  • Explainable AI for Enhanced Trust

  • Drone Based AI Surveillance Expansion

Hyperconverged Edge AI for Realtime Security

Hyperconverged Edge AI revolutionizes real time security by integrating compute, storage, and networking with advanced AI at the video source. This enables immediate, on device analysis of surveillance footage, detecting anomalies and threats without cloud latency. It provides rapid response capabilities, enhances privacy by processing data locally, and optimizes bandwidth usage, making sophisticated threat detection faster, more efficient, and robust in diverse environments.

Privacy Preserving AI via Federated Learning

Federated learning enables privacy preserving AI in video surveillance by decentralizing model training. Instead of sharing raw footage, individual cameras or devices collaboratively train a global AI model locally. This approach enhances privacy as sensitive data remains on device, never leaving its source, while still improving AI accuracy for threat detection and anomaly recognition without compromising individual identities or locations.

Explainable AI for Enhanced Trust

Explainable AI (XAI) is pivotal for trust in video surveillance. Systems provide transparent reasons for decisions, such as identifying a potential threat. Users understand how AI reaches conclusions, fostering confidence in its reliability and fairness. This clarity addresses ethical concerns, ensuring accountability and promoting wider acceptance of AI driven surveillance technologies for improved security.

Drone Based AI Surveillance Expansion

Drone based AI surveillance is expanding as artificial intelligence enhances their capabilities for persistent monitoring. Drones equipped with AI now perform automated patrols, identify threats with high accuracy, and track multiple subjects simultaneously. This minimizes human intervention and extends surveillance reach over vast or difficult terrains, leading to wider adoption by governments and private entities for security and observational purposes.

What are the Key Drivers Shaping the Global AI in Video Surveillance Market

  • Advancements in AI and Deep Learning Algorithms

  • Escalating Demand for Enhanced Security and Surveillance

  • Proliferation of Smart City Initiatives and Infrastructure

  • Cost-Effectiveness and Operational Efficiencies of AI Solutions

Advancements in AI and Deep Learning Algorithms

Sophisticated AI and deep learning elevate video analytics beyond basic motion detection. These advancements enable accurate object recognition, behavioral analysis, and anomaly detection in real time. Systems learn to differentiate threats from normal activity, minimizing false alarms and improving situational awareness for security personnel. This enhanced analytical capability is crucial for wider adoption.

Escalating Demand for Enhanced Security and Surveillance

Growing global threats like crime and terrorism necessitate advanced protection. Businesses and governments increasingly adopt AI powered video surveillance to deter illegal activities, monitor public spaces, and ensure asset safety. This heightened awareness of vulnerabilities fuels demand for intelligent systems capable of real time threat detection, analysis, and rapid response, significantly boosting market expansion.

Proliferation of Smart City Initiatives and Infrastructure

Smart city growth directly boosts AI video surveillance. Urban development requires enhanced security and traffic management solutions. AI cameras offer real time monitoring, predictive analytics, and automated incident detection, becoming integral to smart streetlights, public safety systems, and intelligent transportation networks. This drives demand for sophisticated AI powered surveillance technology.

Cost-Effectiveness and Operational Efficiencies of AI Solutions

Organizations prioritize AI video surveillance for its ability to reduce operational costs significantly. Enhanced automation streamlines monitoring tasks, minimizing the need for extensive human intervention. This efficiency translates into lower labor expenses and optimized resource allocation. Furthermore, improved accuracy and reduced false alarms lead to more effective security operations and fewer wasted investigative efforts, delivering substantial financial benefits over traditional systems.

Global AI in Video Surveillance Market Restraints

Ethical AI Concerns and Regulatory Scrutiny

Growing public apprehension regarding privacy invasion, algorithmic bias, and potential misuse of AI in video surveillance systems creates significant ethical hurdles. This leads to increased governmental oversight and stringent regulations worldwide. Companies face reputational damage, legal challenges, and higher compliance costs, hindering market expansion. Delayed product launches and restricted deployment locations further restrain growth as organizations grapple with complex legal and ethical frameworks.

Data Privacy Regulations and Public Acceptance

Stricter data privacy regulations worldwide like GDPR and CCPA impose significant hurdles for AI video surveillance. Companies face immense pressure to comply with rules on data collection, storage, and usage, demanding costly anonymization and robust security measures. Public acceptance is also critical. Growing societal concerns over surveillance, especially regarding facial recognition and individual privacy, lead to resistance and demand for transparent, ethical AI use. This regulatory and public scrutiny limits adoption and innovation within the market.

Global AI in Video Surveillance Market Opportunities

Real-time Edge AI for Predictive Surveillance & Anomaly Detection

This opportunity harnesses real time AI directly on edge devices, revolutionizing video surveillance. It enables proactive security by instantly detecting anomalies and predicting potential incidents, significantly reducing response times. Processing data at the source minimizes latency and bandwidth usage, making systems efficient and scalable. This technology offers superior accuracy in identifying threats and unusual behaviors, enhancing safety and operational intelligence across diverse environments. It transforms surveillance from reactive monitoring to intelligent, preventative action globally.

Privacy-Enhancing AI Solutions for Compliant Video Surveillance

The opportunity lies in providing AI solutions that enable video surveillance to comply with strict global privacy regulations. As surveillance adoption grows, especially in regions like Asia Pacific, the demand for ethical data handling intensifies. Privacy-enhancing AI anonymizes identities, redacts sensitive information, and secures data. This allows organizations to leverage video for security and operational insights while maintaining legal compliance and public trust. It unlocks market expansion by resolving privacy concerns inherent in widespread monitoring.

Global AI in Video Surveillance Market Segmentation Analysis

Key Market Segments

By Technology

  • •Computer Vision
  • •Deep Learning
  • •Machine Learning
  • •Facial Recognition

By Deployment Mode

  • •On-Premises
  • •Cloud-Based
  • •Hybrid

By Component

  • •Hardware
  • •Software
  • •Services

By End Use

  • •Residential
  • •Commercial
  • •Government

Segment Share By Technology

Share, By Technology, 2025 (%)

  • Deep Learning
  • Computer Vision
  • Machine Learning
  • Facial Recognition
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$11.5BGlobal Market Size, 2025
Source:
www.makdatainsights.com

Why is the Commercial sector the leading end use segment in the Global AI in Video Surveillance Market?

The commercial sector significantly drives the adoption of AI in video surveillance due to its extensive need for enhanced security, operational efficiency, and loss prevention across various subsectors like retail, corporate offices, and industrial facilities. Businesses increasingly leverage AI powered surveillance for applications such as intrusion detection, customer behavior analysis, employee monitoring, and asset protection. The sophisticated demands of commercial enterprises for real time insights and automated threat identification make AI an indispensable tool, leading to its substantial market share.

How do technological advancements influence the growth of AI in video surveillance?

Technological segments like Computer Vision, Deep Learning, Machine Learning, and Facial Recognition are fundamental drivers for market expansion. Deep learning and machine learning algorithms enable systems to accurately identify patterns, objects, and anomalies, moving beyond traditional surveillance capabilities. Facial recognition offers secure access control and person identification, while computer vision forms the bedrock for analyzing visual data efficiently. These innovations collectively enhance the intelligence and effectiveness of surveillance systems, fostering widespread adoption across diverse applications.

What impact do deployment modes and components have on market evolution?

The evolution of deployment modes, including On Premises, Cloud Based, and Hybrid, provides flexibility to users based on their infrastructure, security needs, and scalability requirements. Cloud based solutions offer greater accessibility and lower upfront costs, while on premises systems provide enhanced data control for sensitive environments. Concurrently, the Component segment comprising Hardware, Software, and Services highlights the integrated nature of this market. Sophisticated software for AI processing, advanced camera hardware, and crucial support services are all essential for delivering comprehensive and effective video surveillance solutions to end users.

What Regulatory and Policy Factors Shape the Global AI in Video Surveillance Market

The global AI in video surveillance market faces an intricate regulatory landscape. Data privacy legislation, including GDPR and CCPA, critically impacts biometric data collection and facial recognition use, mandating strict consent and transparency. Ethical frameworks address algorithmic bias, fairness, and accountability, particularly concerning high risk applications. National security interests often drive surveillance capabilities, creating tension with civil liberties and varying government access rules across jurisdictions. Emerging AI specific regulations, like the EU AI Act, categorize and govern high risk AI systems, significantly influencing development and deployment. Cross border data flow and storage also receive heightened scrutiny, necessitating robust data governance.

What New Technologies are Shaping Global AI in Video Surveillance Market?

The Global AI in Video Surveillance Market is rapidly transforming through key innovations. Edge AI processing is revolutionizing real time analytics, enabling faster, more autonomous on device detection and reduced latency. Emerging technologies include advanced behavioral anomaly detection, shifting focus to predictive security and proactive incident prevention. Multimodal AI integrates video with thermal and audio data, offering enhanced situational awareness and significantly reducing false positives. Privacy preserving AI, utilizing federated learning and secure data anonymization techniques, addresses critical data protection concerns. Generative AI is also proving vital for synthetic data generation, accelerating model training and improving overall system robustness for critical applications.

Global AI in Video Surveillance Market Regional Analysis

Global AI in Video Surveillance Market

Trends, by Region

Largest Market
Fastest Growing Market
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45.2%

Asia-Pacific Market
Revenue Share, 2025

Source:
www.makdatainsights.com

North America, particularly the US and Canada, holds a significant share in the AI in video surveillance market. Early technology adoption, robust government spending on smart city initiatives and national security, and the presence of major AI and surveillance tech companies drive growth. Increased demand from critical infrastructure, retail, and commercial sectors for advanced analytics, facial recognition, and object detection further fuels market expansion. Stringent regulatory frameworks for data privacy and ethical AI use are key considerations impacting regional development. The region leads in innovation and commercialization of new AI surveillance solutions.

Europe, a key player, exhibits robust growth driven by stringent regulations and privacy concerns, especially with GDPR. The region prioritizes ethical AI deployment and data protection, influencing innovation towards privacy-preserving solutions like edge AI and federated learning. Western Europe, particularly the UK, Germany, and France, leads in adoption across critical infrastructure and smart cities. Eastern Europe shows emerging potential with increasing investments. A strong focus on R&D, a skilled workforce, and government initiatives further bolster Europe's position, attracting significant investments in AI video surveillance.

The Asia Pacific region dominates the global AI in video surveillance market, holding a substantial 45.2% share. It is also the fastest-growing region, projected to expand at an impressive 21.3% CAGR. This rapid growth is fueled by increasing government initiatives in smart city projects, rising security concerns, and significant investments in AI and surveillance infrastructure across countries like China, India, and Japan. The widespread adoption of advanced analytics and cloud-based AI solutions further propels market expansion, solidifying APAC's leading position.

Latin America's AI in video surveillance market is nascent but growing, driven by increasing crime rates and smart city initiatives. Brazil leads with robust investment in urban security and intelligent traffic management. Mexico follows, leveraging AI for public safety and border surveillance, albeit with concerns regarding data privacy. Colombia and Chile show strong potential due to smart city projects and private sector adoption in retail and banking. Argentina lags slightly but is catching up. The region faces challenges like budget constraints and lack of skilled personnel, yet presents significant opportunities for AI-powered analytics and facial recognition in diverse applications.

The Middle East & Africa (MEA) AI in video surveillance market is experiencing robust growth, driven by increasing security concerns and smart city initiatives. Governments across Saudi Arabia, UAE, and South Africa are investing heavily in advanced surveillance systems for critical infrastructure and public safety. The hospitality, retail, and transportation sectors also contribute significantly, adopting AI for enhanced security, operational efficiency, and customer experience. Regional demand is further fueled by the need for predictive analytics, facial recognition, and object detection to combat crime and manage large crowds. Local partnerships and technology transfer are key drivers, as countries seek to develop indigenous AI capabilities.

Top Countries Overview

The United States holds a significant share in the global AI in video surveillance market. Its robust tech sector drives innovation, particularly in edge AI, cloud integration, and advanced analytics for smart cities and enterprise security. Privacy concerns and ethical AI development are key considerations for continued growth and market influence.

China dominates the global AI video surveillance market. Its companies like Hikvision and Dahua leverage government support and domestic demand to innovate and export advanced AI powered surveillance solutions. Ethical concerns about data privacy and human rights are frequently raised.

India is a key player in the global AI video surveillance market. Its burgeoning economy and technological advancements are driving demand for smart security solutions. The government's emphasis on public safety and smart city initiatives further fuels market growth and innovation.

Impact of Geopolitical and Macroeconomic Factors

Geopolitical tensions accelerate AI adoption in video surveillance, particularly in critical infrastructure. Governments prioritize national security and invest heavily in domestic AI capabilities, creating fragmented regional markets with varying regulatory frameworks. Export controls on advanced AI components and chips impact supply chains and slow development in some regions, fostering localized innovation and partnerships.

Macroeconomic conditions, including inflation and interest rate hikes, influence investment in AI solutions. Recessionary pressures may delay some projects, but the long term cost saving and efficiency gains drive demand. Increased demand for real time analytics and automation, coupled with labor shortages, fuels the market despite economic headwinds. Data privacy regulations also shape market development.

Recent Developments

  • March 2025

    Genetec announced a strategic partnership with a major cloud infrastructure provider to enhance their cloud-native video surveillance solutions. This collaboration aims to provide scalable, secure, and AI-powered analytics capabilities directly from the cloud, improving accessibility and reducing on-premise infrastructure needs for clients.

  • February 2025

    Verkada launched a new series of AI-enabled cameras with advanced edge processing capabilities, reducing latency and bandwidth requirements for real-time analytics. These cameras integrate enhanced object detection, behavioral anomaly detection, and privacy masking features directly at the device level.

  • January 2025

    BriefCam, a Bosch Security Systems company, released a major update to its video analytics platform, introducing new AI models for predicting crowd movement and enhancing facial recognition accuracy in challenging conditions. This update focuses on improving proactive security measures and operational efficiency for large-scale deployments.

  • April 2025

    Milestone Systems acquired a specialized AI startup focused on environmental sensor integration with video surveillance. This acquisition will allow Milestone to offer more comprehensive solutions that combine visual data with environmental insights (e.g., air quality, temperature) for advanced smart city and industrial monitoring applications.

  • May 2025

    Cisco Systems unveiled a new AI-powered anomaly detection module for their Meraki MV camera series, designed to identify unusual patterns in human and vehicle activity without predefined rules. This module leverages machine learning to adapt to specific environments, significantly reducing false positives and improving threat detection capabilities.

Key Players Analysis

Key players in the Global AI in Video Surveillance Market like Tyler Technologies, Genetec, and Cisco Systems are driving innovation through advanced AI algorithms for video analytics, facial recognition, and object detection. Companies such as Verkada and Avigilon are integrating cloud based solutions and IoT, enhancing remote accessibility and scalability. Strategic initiatives include partnerships and acquisitions to expand product portfolios and market reach, leveraging AI to improve real time threat detection, reduce false positives, and streamline investigative processes. This competitive landscape is fueled by increasing demand for enhanced security, operational efficiency, and smart city initiatives, pushing continuous technological advancements and market growth.

List of Key Companies:

  1. Tyler Technologies
  2. Genetec
  3. Verkada
  4. Cisco Systems
  5. Avigilon
  6. Milestone Systems
  7. Bosch Security Systems
  8. BriefCam
  9. Neurala
  10. Honeywell
  11. Dahua Technology
  12. Hanwha Techwin
  13. Eagle Eye Networks
  14. Axis Communications
  15. Hikvision

Report Scope and Segmentation

Report ComponentDescription
Market Size (2025)USD 11.5 Billion
Forecast Value (2035)USD 75.8 Billion
CAGR (2026-2035)16.4%
Base Year2025
Historical Period2020-2025
Forecast Period2026-2035
Segments Covered
  • By Technology:
    • •Computer Vision
    • •Deep Learning
    • •Machine Learning
    • •Facial Recognition
  • By Deployment Mode:
    • •On-Premises
    • •Cloud-Based
    • •Hybrid
  • By Component:
    • •Hardware
    • •Software
    • •Services
  • By End Use:
    • •Residential
    • •Commercial
    • •Government
Regional Analysis
  • North America
  • • United States
  • • Canada
  • Europe
  • • Germany
  • • France
  • • United Kingdom
  • • Spain
  • • Italy
  • • Russia
  • • Rest of Europe
  • Asia-Pacific
  • • China
  • • India
  • • Japan
  • • South Korea
  • • New Zealand
  • • Singapore
  • • Vietnam
  • • Indonesia
  • • Rest of Asia-Pacific
  • Latin America
  • • Brazil
  • • Mexico
  • • Rest of Latin America
  • Middle East and Africa
  • • South Africa
  • • Saudi Arabia
  • • UAE
  • • Rest of Middle East and Africa

Table of Contents:

1. Introduction
1.1. Objectives of Research
1.2. Market Definition
1.3. Market Scope
1.4. Research Methodology
2. Executive Summary
3. Market Dynamics
3.1. Market Drivers
3.2. Market Restraints
3.3. Market Opportunities
3.4. Market Trends
4. Market Factor Analysis
4.1. Porter's Five Forces Model Analysis
4.1.1. Rivalry among Existing Competitors
4.1.2. Bargaining Power of Buyers
4.1.3. Bargaining Power of Suppliers
4.1.4. Threat of Substitute Products or Services
4.1.5. Threat of New Entrants
4.2. PESTEL Analysis
4.2.1. Political Factors
4.2.2. Economic & Social Factors
4.2.3. Technological Factors
4.2.4. Environmental Factors
4.2.5. Legal Factors
4.3. Supply and Value Chain Assessment
4.4. Regulatory and Policy Environment Review
4.5. Market Investment Attractiveness Index
4.6. Technological Innovation and Advancement Review
4.7. Impact of Geopolitical and Macroeconomic Factors
4.8. Trade Dynamics: Import-Export Assessment (Where Applicable)
5. Global AI in Video Surveillance Market Analysis, Insights 2020 to 2025 and Forecast 2026-2035
5.1. Market Analysis, Insights and Forecast, 2020-2035, By Technology
5.1.1. Computer Vision
5.1.2. Deep Learning
5.1.3. Machine Learning
5.1.4. Facial Recognition
5.2. Market Analysis, Insights and Forecast, 2020-2035, By Deployment Mode
5.2.1. On-Premises
5.2.2. Cloud-Based
5.2.3. Hybrid
5.3. Market Analysis, Insights and Forecast, 2020-2035, By Component
5.3.1. Hardware
5.3.2. Software
5.3.3. Services
5.4. Market Analysis, Insights and Forecast, 2020-2035, By End Use
5.4.1. Residential
5.4.2. Commercial
5.4.3. Government
5.5. Market Analysis, Insights and Forecast, 2020-2035, By Region
5.5.1. North America
5.5.2. Europe
5.5.3. Asia-Pacific
5.5.4. Latin America
5.5.5. Middle East and Africa
6. North America AI in Video Surveillance Market Analysis, Insights 2020 to 2025 and Forecast 2026-2035
6.1. Market Analysis, Insights and Forecast, 2020-2035, By Technology
6.1.1. Computer Vision
6.1.2. Deep Learning
6.1.3. Machine Learning
6.1.4. Facial Recognition
6.2. Market Analysis, Insights and Forecast, 2020-2035, By Deployment Mode
6.2.1. On-Premises
6.2.2. Cloud-Based
6.2.3. Hybrid
6.3. Market Analysis, Insights and Forecast, 2020-2035, By Component
6.3.1. Hardware
6.3.2. Software
6.3.3. Services
6.4. Market Analysis, Insights and Forecast, 2020-2035, By End Use
6.4.1. Residential
6.4.2. Commercial
6.4.3. Government
6.5. Market Analysis, Insights and Forecast, 2020-2035, By Country
6.5.1. United States
6.5.2. Canada
7. Europe AI in Video Surveillance Market Analysis, Insights 2020 to 2025 and Forecast 2026-2035
7.1. Market Analysis, Insights and Forecast, 2020-2035, By Technology
7.1.1. Computer Vision
7.1.2. Deep Learning
7.1.3. Machine Learning
7.1.4. Facial Recognition
7.2. Market Analysis, Insights and Forecast, 2020-2035, By Deployment Mode
7.2.1. On-Premises
7.2.2. Cloud-Based
7.2.3. Hybrid
7.3. Market Analysis, Insights and Forecast, 2020-2035, By Component
7.3.1. Hardware
7.3.2. Software
7.3.3. Services
7.4. Market Analysis, Insights and Forecast, 2020-2035, By End Use
7.4.1. Residential
7.4.2. Commercial
7.4.3. Government
7.5. Market Analysis, Insights and Forecast, 2020-2035, By Country
7.5.1. Germany
7.5.2. France
7.5.3. United Kingdom
7.5.4. Spain
7.5.5. Italy
7.5.6. Russia
7.5.7. Rest of Europe
8. Asia-Pacific AI in Video Surveillance Market Analysis, Insights 2020 to 2025 and Forecast 2026-2035
8.1. Market Analysis, Insights and Forecast, 2020-2035, By Technology
8.1.1. Computer Vision
8.1.2. Deep Learning
8.1.3. Machine Learning
8.1.4. Facial Recognition
8.2. Market Analysis, Insights and Forecast, 2020-2035, By Deployment Mode
8.2.1. On-Premises
8.2.2. Cloud-Based
8.2.3. Hybrid
8.3. Market Analysis, Insights and Forecast, 2020-2035, By Component
8.3.1. Hardware
8.3.2. Software
8.3.3. Services
8.4. Market Analysis, Insights and Forecast, 2020-2035, By End Use
8.4.1. Residential
8.4.2. Commercial
8.4.3. Government
8.5. Market Analysis, Insights and Forecast, 2020-2035, By Country
8.5.1. China
8.5.2. India
8.5.3. Japan
8.5.4. South Korea
8.5.5. New Zealand
8.5.6. Singapore
8.5.7. Vietnam
8.5.8. Indonesia
8.5.9. Rest of Asia-Pacific
9. Latin America AI in Video Surveillance Market Analysis, Insights 2020 to 2025 and Forecast 2026-2035
9.1. Market Analysis, Insights and Forecast, 2020-2035, By Technology
9.1.1. Computer Vision
9.1.2. Deep Learning
9.1.3. Machine Learning
9.1.4. Facial Recognition
9.2. Market Analysis, Insights and Forecast, 2020-2035, By Deployment Mode
9.2.1. On-Premises
9.2.2. Cloud-Based
9.2.3. Hybrid
9.3. Market Analysis, Insights and Forecast, 2020-2035, By Component
9.3.1. Hardware
9.3.2. Software
9.3.3. Services
9.4. Market Analysis, Insights and Forecast, 2020-2035, By End Use
9.4.1. Residential
9.4.2. Commercial
9.4.3. Government
9.5. Market Analysis, Insights and Forecast, 2020-2035, By Country
9.5.1. Brazil
9.5.2. Mexico
9.5.3. Rest of Latin America
10. Middle East and Africa AI in Video Surveillance Market Analysis, Insights 2020 to 2025 and Forecast 2026-2035
10.1. Market Analysis, Insights and Forecast, 2020-2035, By Technology
10.1.1. Computer Vision
10.1.2. Deep Learning
10.1.3. Machine Learning
10.1.4. Facial Recognition
10.2. Market Analysis, Insights and Forecast, 2020-2035, By Deployment Mode
10.2.1. On-Premises
10.2.2. Cloud-Based
10.2.3. Hybrid
10.3. Market Analysis, Insights and Forecast, 2020-2035, By Component
10.3.1. Hardware
10.3.2. Software
10.3.3. Services
10.4. Market Analysis, Insights and Forecast, 2020-2035, By End Use
10.4.1. Residential
10.4.2. Commercial
10.4.3. Government
10.5. Market Analysis, Insights and Forecast, 2020-2035, By Country
10.5.1. South Africa
10.5.2. Saudi Arabia
10.5.3. UAE
10.5.4. Rest of Middle East and Africa
11. Competitive Analysis and Company Profiles
11.1. Market Share of Key Players
11.1.1. Global Company Market Share
11.1.2. Regional/Sub-Regional Company Market Share
11.2. Company Profiles
11.2.1. Tyler Technologies
11.2.1.1. Business Overview
11.2.1.2. Products Offering
11.2.1.3. Financial Insights (Based on Availability)
11.2.1.4. Company Market Share Analysis
11.2.1.5. Recent Developments (Product Launch, Mergers and Acquisition, etc.)
11.2.1.6. Strategy
11.2.1.7. SWOT Analysis
11.2.2. Genetec
11.2.2.1. Business Overview
11.2.2.2. Products Offering
11.2.2.3. Financial Insights (Based on Availability)
11.2.2.4. Company Market Share Analysis
11.2.2.5. Recent Developments (Product Launch, Mergers and Acquisition, etc.)
11.2.2.6. Strategy
11.2.2.7. SWOT Analysis
11.2.3. Verkada
11.2.3.1. Business Overview
11.2.3.2. Products Offering
11.2.3.3. Financial Insights (Based on Availability)
11.2.3.4. Company Market Share Analysis
11.2.3.5. Recent Developments (Product Launch, Mergers and Acquisition, etc.)
11.2.3.6. Strategy
11.2.3.7. SWOT Analysis
11.2.4. Cisco Systems
11.2.4.1. Business Overview
11.2.4.2. Products Offering
11.2.4.3. Financial Insights (Based on Availability)
11.2.4.4. Company Market Share Analysis
11.2.4.5. Recent Developments (Product Launch, Mergers and Acquisition, etc.)
11.2.4.6. Strategy
11.2.4.7. SWOT Analysis
11.2.5. Avigilon
11.2.5.1. Business Overview
11.2.5.2. Products Offering
11.2.5.3. Financial Insights (Based on Availability)
11.2.5.4. Company Market Share Analysis
11.2.5.5. Recent Developments (Product Launch, Mergers and Acquisition, etc.)
11.2.5.6. Strategy
11.2.5.7. SWOT Analysis
11.2.6. Milestone Systems
11.2.6.1. Business Overview
11.2.6.2. Products Offering
11.2.6.3. Financial Insights (Based on Availability)
11.2.6.4. Company Market Share Analysis
11.2.6.5. Recent Developments (Product Launch, Mergers and Acquisition, etc.)
11.2.6.6. Strategy
11.2.6.7. SWOT Analysis
11.2.7. Bosch Security Systems
11.2.7.1. Business Overview
11.2.7.2. Products Offering
11.2.7.3. Financial Insights (Based on Availability)
11.2.7.4. Company Market Share Analysis
11.2.7.5. Recent Developments (Product Launch, Mergers and Acquisition, etc.)
11.2.7.6. Strategy
11.2.7.7. SWOT Analysis
11.2.8. BriefCam
11.2.8.1. Business Overview
11.2.8.2. Products Offering
11.2.8.3. Financial Insights (Based on Availability)
11.2.8.4. Company Market Share Analysis
11.2.8.5. Recent Developments (Product Launch, Mergers and Acquisition, etc.)
11.2.8.6. Strategy
11.2.8.7. SWOT Analysis
11.2.9. Neurala
11.2.9.1. Business Overview
11.2.9.2. Products Offering
11.2.9.3. Financial Insights (Based on Availability)
11.2.9.4. Company Market Share Analysis
11.2.9.5. Recent Developments (Product Launch, Mergers and Acquisition, etc.)
11.2.9.6. Strategy
11.2.9.7. SWOT Analysis
11.2.10. Honeywell
11.2.10.1. Business Overview
11.2.10.2. Products Offering
11.2.10.3. Financial Insights (Based on Availability)
11.2.10.4. Company Market Share Analysis
11.2.10.5. Recent Developments (Product Launch, Mergers and Acquisition, etc.)
11.2.10.6. Strategy
11.2.10.7. SWOT Analysis
11.2.11. Dahua Technology
11.2.11.1. Business Overview
11.2.11.2. Products Offering
11.2.11.3. Financial Insights (Based on Availability)
11.2.11.4. Company Market Share Analysis
11.2.11.5. Recent Developments (Product Launch, Mergers and Acquisition, etc.)
11.2.11.6. Strategy
11.2.11.7. SWOT Analysis
11.2.12. Hanwha Techwin
11.2.12.1. Business Overview
11.2.12.2. Products Offering
11.2.12.3. Financial Insights (Based on Availability)
11.2.12.4. Company Market Share Analysis
11.2.12.5. Recent Developments (Product Launch, Mergers and Acquisition, etc.)
11.2.12.6. Strategy
11.2.12.7. SWOT Analysis
11.2.13. Eagle Eye Networks
11.2.13.1. Business Overview
11.2.13.2. Products Offering
11.2.13.3. Financial Insights (Based on Availability)
11.2.13.4. Company Market Share Analysis
11.2.13.5. Recent Developments (Product Launch, Mergers and Acquisition, etc.)
11.2.13.6. Strategy
11.2.13.7. SWOT Analysis
11.2.14. Axis Communications
11.2.14.1. Business Overview
11.2.14.2. Products Offering
11.2.14.3. Financial Insights (Based on Availability)
11.2.14.4. Company Market Share Analysis
11.2.14.5. Recent Developments (Product Launch, Mergers and Acquisition, etc.)
11.2.14.6. Strategy
11.2.14.7. SWOT Analysis
11.2.15. Hikvision
11.2.15.1. Business Overview
11.2.15.2. Products Offering
11.2.15.3. Financial Insights (Based on Availability)
11.2.15.4. Company Market Share Analysis
11.2.15.5. Recent Developments (Product Launch, Mergers and Acquisition, etc.)
11.2.15.6. Strategy
11.2.15.7. SWOT Analysis

List of Figures

List of Tables

Table 1: Global AI in Video Surveillance Market Revenue (USD billion) Forecast, by Technology, 2020-2035

Table 2: Global AI in Video Surveillance Market Revenue (USD billion) Forecast, by Deployment Mode, 2020-2035

Table 3: Global AI in Video Surveillance Market Revenue (USD billion) Forecast, by Component, 2020-2035

Table 4: Global AI in Video Surveillance Market Revenue (USD billion) Forecast, by End Use, 2020-2035

Table 5: Global AI in Video Surveillance Market Revenue (USD billion) Forecast, by Region, 2020-2035

Table 6: North America AI in Video Surveillance Market Revenue (USD billion) Forecast, by Technology, 2020-2035

Table 7: North America AI in Video Surveillance Market Revenue (USD billion) Forecast, by Deployment Mode, 2020-2035

Table 8: North America AI in Video Surveillance Market Revenue (USD billion) Forecast, by Component, 2020-2035

Table 9: North America AI in Video Surveillance Market Revenue (USD billion) Forecast, by End Use, 2020-2035

Table 10: North America AI in Video Surveillance Market Revenue (USD billion) Forecast, by Country, 2020-2035

Table 11: Europe AI in Video Surveillance Market Revenue (USD billion) Forecast, by Technology, 2020-2035

Table 12: Europe AI in Video Surveillance Market Revenue (USD billion) Forecast, by Deployment Mode, 2020-2035

Table 13: Europe AI in Video Surveillance Market Revenue (USD billion) Forecast, by Component, 2020-2035

Table 14: Europe AI in Video Surveillance Market Revenue (USD billion) Forecast, by End Use, 2020-2035

Table 15: Europe AI in Video Surveillance Market Revenue (USD billion) Forecast, by Country/ Sub-region, 2020-2035

Table 16: Asia Pacific AI in Video Surveillance Market Revenue (USD billion) Forecast, by Technology, 2020-2035

Table 17: Asia Pacific AI in Video Surveillance Market Revenue (USD billion) Forecast, by Deployment Mode, 2020-2035

Table 18: Asia Pacific AI in Video Surveillance Market Revenue (USD billion) Forecast, by Component, 2020-2035

Table 19: Asia Pacific AI in Video Surveillance Market Revenue (USD billion) Forecast, by End Use, 2020-2035

Table 20: Asia Pacific AI in Video Surveillance Market Revenue (USD billion) Forecast, by Country/ Sub-region, 2020-2035

Table 21: Latin America AI in Video Surveillance Market Revenue (USD billion) Forecast, by Technology, 2020-2035

Table 22: Latin America AI in Video Surveillance Market Revenue (USD billion) Forecast, by Deployment Mode, 2020-2035

Table 23: Latin America AI in Video Surveillance Market Revenue (USD billion) Forecast, by Component, 2020-2035

Table 24: Latin America AI in Video Surveillance Market Revenue (USD billion) Forecast, by End Use, 2020-2035

Table 25: Latin America AI in Video Surveillance Market Revenue (USD billion) Forecast, by Country/ Sub-region, 2020-2035

Table 26: Middle East & Africa AI in Video Surveillance Market Revenue (USD billion) Forecast, by Technology, 2020-2035

Table 27: Middle East & Africa AI in Video Surveillance Market Revenue (USD billion) Forecast, by Deployment Mode, 2020-2035

Table 28: Middle East & Africa AI in Video Surveillance Market Revenue (USD billion) Forecast, by Component, 2020-2035

Table 29: Middle East & Africa AI in Video Surveillance Market Revenue (USD billion) Forecast, by End Use, 2020-2035

Table 30: Middle East & Africa AI in Video Surveillance Market Revenue (USD billion) Forecast, by Country/ Sub-region, 2020-2035

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