비디오 감시 분야 AI 시장 : 제공별, 전개별, 기능별, 기술별, 업계별, 지역별 - 세계 예측(-2032년)

According to Marketsand Markets, the AI in video surveillance market is projected to grow from USD 4.04 billion in 2026 to USD 10.88 billion by 2032, at a CAGR of 17.9% during the forecast period. The market is projected to witness strong growth during the forecast period, due to the rising need for proactive and automated security solutions across industries. Organizations are increasingly prioritizing real-time monitoring and intelligent analytics to enhance safety, reduce human intervention, and improve operational efficiency. AI-powered surveillance systems enable capabilities such as facial recognition, object detection, behavior analysis, and anomaly detection, allowing faster and more accurate decision-making. These systems significantly reduce false alarms and enable predictive threat identification, which is critical for sectors such as smart cities, transportation, retail, and critical infrastructure.

Additionally, advancements in edge computing, cloud integration, and deep learning algorithms are improving system scalability and performance. The ability to derive actionable insights from video data, combined with reduced operational costs and enhanced security outcomes, is accelerating adoption globally. Furthermore, increasing investments in smart infrastructure, urban safety initiatives, and regulatory compliance requirements are reinforcing the long-term growth potential of the AI in video surveillance market.

"By offering, the software segment to capture the largest market share during the forecast period"

The software segment is expected to capture the largest market share in the AI in video surveillance market during the forecast period due to the mounting demand for intelligent analytics and centralized video management capabilities. Organizations are rapidly adopting AI-powered software solutions, such as video management systems, facial recognition, object detection, and behavior analytics, to enhance security and operational insights. The shift toward cloud-based platforms and subscription models further supports scalability and cost efficiency. Continuous advancements in deep learning and computer vision are improving accuracy and automation, making software a critical component in modern surveillance ecosystems across industries globally.

"By function, the training segment to grow at the highest CAGR between 2026 and 2032"

The training function is anticipated to witness the highest CAGR in the AI in video surveillance market during the forecast, owing to the growing need for developing and refining AI models that can accurately detect, classify, and respond to complex visual scenarios. As surveillance systems become increasingly sophisticated, continuous training of deep learning algorithms using vast datasets is essential to improve accuracy, reduce false positives, and enhance real-time decision-making capabilities. Organizations across sectors are investing heavily in training infrastructure to ensure their AI surveillance models remain adaptive to evolving threats and environments. Furthermore, advancements in edge computing and cloud-based training platforms are significantly accelerating this growth trajectory.

"Asia Pacific to emerge as the fastest-growing region in the AI in video surveillance market from 2026 to 2032"

Asia Pacific is emerging as the fastest-growing region in the AI in video surveillance market during the forecast period due to the rapid urbanization, increasing investments in smart city projects, and rising security concerns across densely populated countries. Governments and enterprises are heavily investing in advanced surveillance infrastructure to enhance public safety and traffic management. The presence of major manufacturing hubs and technology providers further supports regional growth. Additionally, expanding adoption across sectors such as retail, transportation, and critical infrastructure, combined with favorable government initiatives and digital transformation strategies, is accelerating market expansion across the region.

Breakdown of primaries

A variety of executives from key organizations operating in the AI in video surveillance market were interviewed in-depth, including CEOs, marketing directors, and innovation and technology directors.

• By Company Type: Tier 1 - 38%, Tier 2 - 28%, and Tier 3 - 34%
• By Designation: C-level Executives - 40%, Directors - 30%, and Others - 30%
• By Region: North America - 35%, Europe - 35, Asia Pacific - 20%, and RoW - 10%

Note: RoW includes the Middle East, Africa, and South America.

Other designations include product, sales, and marketing managers.

Three tiers of companies have been defined based on their total revenues: tier 3: revenue less than USD 100 million; tier 2: revenue between USD 100 million and USD 1 billion; and tier 1: revenue more than USD 1 billion.

Major players are as follows: Major players operating in AI in video surveillance market include Hangzhou Hikvision Digital Technology Co., Ltd. (China), Dahua Technology Co., Ltd. (China), Axis Communications AB (Sweden), Motorola Solutions, Inc. (US), Hanwha Vision Co., Ltd. (South Korea), Milestone Systems A/S (Denmark), SenseTime (Hong Kong), Irisity (Sweden), NEC Corporation (Japan), Genetec Inc. (Canada), MOBOTIX AG (Germany), Teledyne Technologies Incorporated (US), Honeywell International Inc. (US), VIVOTEK Inc. (Taiwan), and i-PRO Co., Ltd. (Japan). These companies compete by continuously enhancing AI-powered video surveillance capabilities, focusing on improved accuracy in object detection, facial recognition, behavior analysis, and real-time threat identification across diverse applications. Strategic emphasis is placed on scalable and interoperable system architectures, integration with cloud platforms, edge computing, and IoT ecosystems, along with the development of application-specific solutions for sectors such as smart cities, retail, transportation, healthcare, and critical infrastructure.

Market participants prioritize seamless integration with existing security and IT infrastructure, ensuring data security, system reliability, and ease of deployment. Strong focus is also placed on reducing false alarms, optimizing data storage, and enabling predictive analytics for proactive decision-making. Continued investments in advanced AI algorithms, cybersecurity enhancements, edge-enabled devices, and collaborations with system integrators, governments, and enterprises are expected to sustain competition and accelerate adoption across the global AI in video surveillance market.

The study provides a detailed competitive analysis of these key players in the AI in video surveillance market, presenting their company profiles, most recent developments, and key market strategies.

Research Coverage

This report on the AI in video surveillance market presents a detailed analysis based on offering, deployment, function, technology, vertical, and region. By offering, it is segmented into AI cameras and software. By deployment, the market is segmented into edge-based and cloud-based. By function, it is segmented into training and inference. By technology, the market includes computer vision (ML/DL), machine learning (non-vision AI), natural language processing, and generative AI. By vertical, the market covers residential, commercial, military & defense, government & public facility, industrial, and critical infrastructure. The regional analysis includes North America, Europe, Asia Pacific, and RoW, enabling evaluation of demand patterns, growth drivers, and industry trends across the global AI in video surveillance market.

Reasons to buy the report

The report will help the leaders/new entrants in this market with information on the closest approximations of the revenue numbers for the overall market and the sub-segments. This report will help stakeholders understand the competitive landscape and gain more insights to position their businesses better and plan suitable go-to-market strategies. The report also helps stakeholders understand the pulse of the AI in video surveillance market and provides information on key market drivers, restraints, challenges, and opportunities.

Key Benefits of Buying the Report

• Analysis of key drivers (Growing demand for enhanced and intelligent security solutions across sectors, Rapid advancements in deep learning and computer vision capabilities, Increasing incidence of crime driving adoption of surveillance systems, Rising deployment of advanced surveillance infrastructure in smart city initiatives), Restraints (Concerns related to data privacy and security in AI-enabled surveillance systems, High implementation and lifecycle costs), Opportunities (Rising integration of AI with IoT-enabled devices and ecosystems, Increasing penetration of smart home technologies globally, Rising adoption of AI-driven surveillance across retail and transportation sectors, Continuous evolution of AI cameras with advanced machine learning capabilities, Growing adoption of generative AI technologies, particularly in emerging economies), Challenges (Fragmented and complex data protection regulations across regions, Occurrence of false negatives, Increasing exposure to cybersecurity threats and system vulnerabilities) influencing the growth of the AI in video surveillance market
• Product Development/Innovation: Detailed insights on upcoming technologies, research and development activities, and new product launches in the AI in video surveillance market
• Market Development: Comprehensive information about lucrative markets-the report analyses the AI in video surveillance market across varied regions
• Market Diversification: Exhaustive information about new products/services, untapped geographies, recent developments, and investments in the AI in video surveillance market
• Competitive Assessment: In-depth assessment of market shares, growth strategies, and service offerings of leading players like Hangzhou Hikvision Digital Technology Co., Ltd. (China), Dahua Technology Co., Ltd. (China), Axis Communications AB (Sweden), Motorola Solutions, Inc. (US), Hanwha Vision Co., Ltd. (South Korea), Milestone Systems A/S (Denmark), SenseTime (Hong Kong), Irisity (Sweden), NEC Corporation (Japan), Genetec Inc. (Canada), MOBOTIX AG (Germany), Teledyne Technologies Incorporated (US), Honeywell International Inc. (US), VIVOTEK Inc. (Taiwan), and i-PRO Co., Ltd. (Japan)

TABLE OF CONTENTS

1 INTRODUCTION

• 1.1 STUDY OBJECTIVES
• 1.2 MARKET DEFINITION
• 1.3 MARKET SCOPE
  • 1.3.1 MARKET SEGMENTATION AND REGIONAL SCOPE
  • 1.3.2 YEARS CONSIDERED
  • 1.3.3 INCLUSIONS AND EXCLUSIONS
• 1.4 CURRENCY CONSIDERED
• 1.5 UNITS CONSIDERED
• 1.6 STAKEHOLDERS
• 1.7 SUMMARY OF CHANGES

2 EXECUTIVE SUMMARY

• 2.1 MARKET HIGHLIGHTS AND KEY INSIGHTS
• 2.2 KEY MARKET PARTICIPANTS: MAPPING OF STRATEGIC DEVELOPMENTS
• 2.3 DISRUPTIVE TRENDS IN AI IN VIDEO SURVEILLANCE MARKET
• 2.4 HIGH-GROWTH SEGMENTS
• 2.5 REGIONAL SNAPSHOT: MARKET SIZE, GROWTH RATE, AND FORECAST

3 PREMIUM INSIGHTS

• 3.1 ATTRACTIVE OPPORTUNITIES FOR PLAYERS IN AI IN VIDEO SURVEILLANCE MARKET
• 3.2 AI IN VIDEO SURVEILLANCE MARKET, BY OFFERING
• 3.3 AI IN VIDEO SURVEILLANCE MARKET, BY DEPLOYMENT
• 3.4 AI IN VIDEO SURVEILLANCE MARKET, BY FUNCTION
• 3.5 AI IN VIDEO SURVEILLANCE MARKET, BY TECHNOLOGY
• 3.6 AI IN VIDEO SURVEILLANCE MARKET, BY VERTICAL
• 3.7 AI IN VIDEO SURVEILLANCE MARKET IN NORTH AMERICA, BY VERTICAL AND COUNTRY
• 3.8 AI IN VIDEO SURVEILLANCE MARKET, BY COUNTRY

4 MARKET OVERVIEW

• 4.1 INTRODUCTION
• 4.2 MARKET DYNAMICS
  • 4.2.1 DRIVERS
    • 4.2.1.1 Increasing demand for advanced security solutions
    • 4.2.1.2 Advancements in deep learning and computer vision technologies
    • 4.2.1.3 Rising crime rate
    • 4.2.1.4 Deployment of sophisticated surveillance systems in smart cities
  • 4.2.2 RESTRAINTS
    • 4.2.2.1 Privacy and security issues in AI-powered systems
    • 4.2.2.2 High costs associated with implementing and maintaining AI-powered video surveillance systems
  • 4.2.3 OPPORTUNITIES
    • 4.2.3.1 Integration of AI with IoT
    • 4.2.3.2 Growing adoption of smart home technologies
    • 4.2.3.3 Deployment of AI in retail and transportation sectors
    • 4.2.3.4 Integration of AI cameras with ML algorithms
    • 4.2.3.5 Adoption of Gen AI technologies in developing countries
  • 4.2.4 CHALLENGES
    • 4.2.4.1 Complex and varied data protection laws across different regions
    • 4.2.4.2 Occurrence of false negatives
    • 4.2.4.3 Vulnerability to cyberattacks
• 4.3 INTERCONNECTED MARKETS AND CROSS-SECTOR OPPORTUNITIES
• 4.4 STRATEGIC MOVES BY TIER-1/2/3 PLAYERS

5 INDUSTRY TRENDS

• 5.1 PORTER'S FIVE FORCES ANALYSIS
  • 5.1.1 INTENSITY OF COMPETITIVE RIVALRY
  • 5.1.2 BARGAINING POWER OF SUPPLIERS
  • 5.1.3 BARGAINING POWER OF BUYERS
  • 5.1.4 THREAT OF SUBSTITUTES
  • 5.1.5 THREAT OF NEW ENTRANTS
• 5.2 MACROECONOMIC OUTLOOK
  • 5.2.1 INTRODUCTION
  • 5.2.2 GDP TRENDS AND FORECAST
  • 5.2.3 TRENDS IN RESIDENTIAL VERTICAL
  • 5.2.4 TRENDS IN COMMERCIAL VERTICAL
  • 5.2.5 TRENDS IN MILITARY & DEFENSE VERTICAL
• 5.3 VALUE CHAIN ANALYSIS
• 5.4 ECOSYSTEM ANALYSIS
• 5.5 PRICING ANALYSIS
  • 5.5.1 INDICATIVE PRICING OF AI CAMERA OFFERINGS, BY KEY PLAYER, 2025
  • 5.5.2 AVERAGE SELLING PRICE TREND, BY REGION, 2021-2025
• 5.6 TRADE ANALYSIS
  • 5.6.1 IMPORT SCENARIO (HS CODE 852580)
  • 5.6.2 EXPORT SCENARIO (HS CODE 852580)
• 5.7 KEY CONFERENCES AND EVENTS, 2026-2027
• 5.8 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS
• 5.9 INVESTMENT AND FUNDING SCENARIO
• 5.10 CASE STUDY ANALYSIS
  • 5.10.1 IMPROVING PUBLIC PARK SAFETY USING AUTOMATED VIDEO MONITORING SYSTEMS
  • 5.10.2 MOBOTIX AG CAMERAS SUPPORT CRIME PREVENTION FOR WESTCHESTER COUNTY RTC
  • 5.10.3 BRIEFCAM ANALYTICS SUPPORTS SECURITY OPERATIONS AT HOSPITAL CAMPUS
  • 5.10.4 MINISO ENHANCES LOSS PREVENTION USING HIKVISION DIGITAL TECHNOLOGY SYSTEMS
  • 5.10.5 DAHUA TECHNOLOGY IMPLEMENTS HYBRID SURVEILLANCE FOR ECOISLAMIC BANK IN KYRGYZSTAN
  • 5.10.6 LONG BEACH HOUSING AUTHORITY IMPLEMENTS AVIGILON VIDEO MANAGEMENT SYSTEM
• 5.11 IMPACT OF 2025 US TARIFF - AI IN VIDEO SURVEILLANCE MARKET
  • 5.11.1 INTRODUCTION
  • 5.11.2 KEY TARIFF RATES
  • 5.11.3 PRICE IMPACT ANALYSIS
  • 5.11.4 IMPACT ON COUNTRIES/REGIONS
    • 5.11.4.1 US
    • 5.11.4.2 Europe
    • 5.11.4.3 Asia Pacific

6 TECHNOLOGICAL ADVANCEMENTS, AI-DRIVEN IMPACT, PATENTS, AND INNOVATIONS

• 6.1 TECHNOLOGY ANALYSIS
  • 6.1.1 KEY TECHNOLOGIES
    • 6.1.1.1 Machine learning
    • 6.1.1.2 Computer vision
  • 6.1.2 COMPLEMENTARY TECHNOLOGIES
    • 6.1.2.1 Internet of Things (IoT)
    • 6.1.2.2 5G connectivity
  • 6.1.3 ADJACENT TECHNOLOGIES
    • 6.1.3.1 Smart city infrastructure
    • 6.1.3.2 Smart home automation
• 6.2 TECHNOLOGY/PRODUCT ROADMAP
• 6.3 PATENT ANALYSIS
• 6.4 IMPACT OF AI/GEN AI ON AI IN VIDEO SURVEILLANCE MARKET
  • 6.4.1 TOP USE CASES AND MARKET POTENTIAL
    • 6.4.1.1 AI-enabled real-time threat detection and public safety
    • 6.4.1.2 Intelligent traffic monitoring and management
    • 6.4.1.3 Retail analytics and customer behavior insights
    • 6.4.1.4 Industrial safety and operational monitoring
  • 6.4.2 BEST PRACTICES FOLLOWED BY MANUFACTURERS/OEMS IN AI IN VIDEO SURVEILLANCE MARKET
  • 6.4.3 CASE STUDIES RELATED TO AI IMPLEMENTATION IN AI IN VIDEO SURVEILLANCE MARKET
  • 6.4.4 INTERCONNECTED ECOSYSTEM AND IMPACT ON MARKET PLAYERS
  • 6.4.5 CLIENTS' READINESS TO ADOPT AI-INTEGRATED VIDEO SURVEILLANCE
• 6.5 SUCCESS STORIES AND REAL-WORLD APPLICATIONS

7 REGULATORY LANDSCAPE

• 7.1 REGIONAL REGULATIONS AND COMPLIANCE
  • 7.1.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • 7.1.2 STANDARDS
  • 7.1.3 REGULATIONS

8 CUSTOMER LANDSCAPE & BUYER BEHAVIOR

• 8.1 INTRODUCTION
• 8.2 DECISION-MAKING PROCESS
• 8.3 KEY STAKEHOLDERS AND BUYING CRITERIA
  • 8.3.1 KEY STAKEHOLDERS IN BUYING PROCESS
  • 8.3.2 BUYING CRITERIA
• 8.4 ADOPTION BARRIERS & INTERNAL CHALLENGES
• 8.5 UNMET NEEDS OF VARIOUS END-USE INDUSTRIES
• 8.6 MARKET PROFITABILITY
  • 8.6.1 REVENUE POTENTIAL
  • 8.6.2 COST DYNAMICS
  • 8.6.3 MARGIN OPPORTUNITIES, BY VERTICAL

9 APPLICATIONS OF AI IN VIDEO SURVEILLANCE

• 9.1 INTRODUCTION
• 9.2 SECURITY & PUBLIC SAFETY
• 9.3 TRAFFIC MONITORING & MANAGEMENT
• 9.4 INTELLIGENT TRANSPORTATION SYSTEMS
• 9.5 RETAIL MANAGEMENT
• 9.6 URBAN PLANNING & SMART CITIES

10 AI IN VIDEO SURVEILLANCE MARKET, BY OFFERING

• 10.1 INTRODUCTION
• 10.2 AI CAMERAS
  • 10.2.1 BY CAMERA TYPE
    • 10.2.1.1 Fixed cameras
      • 10.2.1.1.1 Growing emphasis on perimeter security and asset protection to accelerate market growth
    • 10.2.1.2 PTZ cameras
      • 10.2.1.2.1 Growing demand for intelligent, adaptable surveillance solutions to drive adoption
    • 10.2.1.3 Dome cameras
      • 10.2.1.3.1 Evolving versatile tools that combine security with business intelligence to propel market growth
    • 10.2.1.4 Bullet cameras
      • 10.2.1.4.1 Increasing adoption of AI-powered bullet cameras for advanced perimeter and infrastructure security to drive market
    • 10.2.1.5 Panoramic/Fisheye/Body-worn cameras
      • 10.2.1.5.1 Increasing demand for accountability and transparency to drive adoption
• 10.3 SOFTWARE
  • 10.3.1 AI-DRIVEN VIDEO MANAGEMENT SYSTEMS
    • 10.3.1.1 Centralized control of multiple cameras provides efficient management of operations
  • 10.3.2 AI-DRIVEN VIDEO ANALYTICS
    • 10.3.2.1 Growing demand for real-time intelligence to drive adoption
    • 10.3.2.2 By use case
      • 10.3.2.2.1 Object detection & classification
      • 10.3.2.2.2 Facial recognition
      • 10.3.2.2.3 Behavior & anomaly detection
      • 10.3.2.2.4 Crowd analytics & density estimation
      • 10.3.2.2.5 License plate recognition (LPR/ANPR)
      • 10.3.2.2.6 Intrusion detection & perimeter security
      • 10.3.2.2.7 Weapon & threat detection
      • 10.3.2.2.8 Retail & customer behavior analytics

11 AI IN VIDEO SURVEILLANCE MARKET, BY DEPLOYMENT

• 11.1 INTRODUCTION
• 11.2 EDGE-BASED
  • 11.2.1 INCREASING DEMAND FOR HIGHLY CUSTOMIZABLE, AI-INTEGRATED SURVEILLANCE SOLUTIONS TO ACCELERATE SEGMENTAL GROWTH
• 11.3 CLOUD-BASED
  • 11.3.1 RISING PREFERENCE FOR REMOTE ACCESSIBILITY AND REAL-TIME MONITORING TO BOOST SEGMENTAL GROWTH

12 AI IN VIDEO SURVEILLANCE MARKET, BY FUNCTION

• 12.1 INTRODUCTION
• 12.2 TRAINING
  • 12.2.1 INCREASING COMPLEXITY OF SURVEILLANCE TASKS TO CONTRIBUTE TO SEGMENTAL GROWTH
• 12.3 INFERENCE
  • 12.3.1 RISING DEMAND FOR REAL-TIME THREAT DETECTION TO AUGMENT SEGMENTAL GROWTH

13 AI IN VIDEO SURVEILLANCE MARKET, BY TECHNOLOGY

• 13.1 INTRODUCTION
• 13.2 COMPUTER VISION
  • 13.2.1 NEED FOR ADVANCED PROCESSING CAPABILITIES TO BOOST SEGMENTAL GROWTH
  • 13.2.2 DEEP LEARNING
  • 13.2.3 CONVOLUTIONAL NEURAL NETWORKS
• 13.3 MACHINE LEARNING
  • 13.3.1 ABILITY TO INTELLIGENTLY ANALYZE AND INTERPRET VIDEO DATA TO BOLSTER SEGMENTAL GROWTH
• 13.4 NATURAL LANGUAGE PROCESSING
  • 13.4.1 ABILITY TO ENHANCE VIDEO SURVEILLANCE SYSTEMS TO EXPEDITE SEGMENTAL GROWTH
• 13.5 GENERATIVE AI
  • 13.5.1 STRONG FOCUS ON ENHANCING TRAINING, SIMULATION, AND PREDICTIVE CAPABILITIES TO ACCELERATE SEGMENTAL GROWTH
  • 13.5.2 RULE-BASED MODELS
  • 13.5.3 STATISTICAL MODELS

14 AI IN VIDEO SURVEILLANCE MARKET, BY VERTICAL

• 14.1 INTRODUCTION
• 14.2 RESIDENTIAL
  • 14.2.1 RISING ADOPTION OF SMART CITY INITIATIVES TO BOOST SEGMENTAL GROWTH
• 14.3 COMMERCIAL
  • 14.3.1 RETAIL STORES & MALLS
    • 14.3.1.1 Requirement for comprehensive surveillance across large areas using advanced tools to fuel segmental growth
  • 14.3.2 BANKING & FINANCIAL BUILDINGS
    • 14.3.2.1 Emphasis on safeguarding data and infrastructure to contribute to segmental growth
  • 14.3.3 HOSPITALITY CENTERS
    • 14.3.3.1 Increased demand for enhanced guest security solutions to stimulate segmental growth
• 14.4 MILITARY & DEFENSE
  • 14.4.1 BORDER SURVEILLANCE
    • 14.4.1.1 Rising focus on preventing smuggling and other illegal activities to drive segmental growth
  • 14.4.2 COASTAL SURVEILLANCE
    • 14.4.2.1 Growing intrusion and maritime threats to boost segmental growth
• 14.5 GOVERNMENT & PUBLIC FACILITIES
  • 14.5.1 LAW ENFORCEMENT BUILDINGS
    • 14.5.1.1 Increasing adoption of AI and ML in video surveillance systems to accelerate segmental growth
  • 14.5.2 TRANSPORTATION FACILITIES
    • 14.5.2.1 Rising integration of AI with real-time traffic monitoring solutions to foster segmental growth
  • 14.5.3 SMART CITY SURVEILLANCE
    • 14.5.3.1 Growing emphasis on enhancing public safety and law enforcement to foster market growth
  • 14.5.4 HEALTHCARE FACILITIES
    • 14.5.4.1 Increasing installation of intelligent video surveillance systems for threat detection to augment segmental growth
  • 14.5.5 EDUCATIONAL FACILITIES
    • 14.5.5.1 Growing investments in AI systems to enhance security to fuel segmental growth
  • 14.5.6 RELIGIOUS FACILITIES
    • 14.5.6.1 Rising need to safeguard artifacts and prevent firearm threats to contribute to segmental growth
• 14.6 INDUSTRIAL
  • 14.6.1 MANUFACTURING
    • 14.6.1.1 Rising integration of advanced technologies to optimize workflows and ensure safety compliance to drive market
  • 14.6.2 ENERGY & UTILITIES
    • 14.6.2.1 Escalating use of motion detection, automated alerts, and high-resolution cameras to accelerate segmental growth
  • 14.6.3 CONSTRUCTION SITES
    • 14.6.3.1 Increasing focus on meeting safety regulations to drive market
• 14.7 CRITICAL INFRASTRUCTURE
  • 14.7.1 DATA CENTERS
    • 14.7.1.1 Growing adoption of surveillance cameras to safeguard critical assets to fuel segmental growth
  • 14.7.2 TELECOMMUNICATIONS
    • 14.7.2.1 Rising need for enhanced security and operational efficiency to augment segmental growth

15 AI IN VIDEO SURVEILLANCE MARKET, BY REGION

• 15.1 INTRODUCTION
• 15.2 NORTH AMERICA
  • 15.2.1 MACROECONOMIC OUTLOOK FOR NORTH AMERICA
  • 15.2.2 US
    • 15.2.2.1 Rising demand for smart surveillance systems to foster market growth
  • 15.2.3 CANADA
    • 15.2.3.1 Increasing break-and-enter cases to boost market growth
  • 15.2.4 MEXICO
    • 15.2.4.1 Growing affordability of AI CCTV technology to fuel market growth
• 15.3 EUROPE
  • 15.3.1 MACROECONOMIC OUTLOOK FOR EUROPE
  • 15.3.2 UK
    • 15.3.2.1 Rising public-private collaborations to offer lucrative growth opportunities
  • 15.3.3 GERMANY
    • 15.3.3.1 Growing demand for efficient and effective surveillance solutions to stimulate market growth
  • 15.3.4 FRANCE
    • 15.3.4.1 Growing emphasis on smart urban development to fuel market growth
  • 15.3.5 ITALY
    • 15.3.5.1 Rising integration of advanced AI-driven analytics into surveillance systems to drive market
  • 15.3.6 SPAIN
    • 15.3.6.1 Increasing deployment of 5G-enabled facial recognition surveillance systems to boost market growth
  • 15.3.7 REST OF EUROPE
• 15.4 ASIA PACIFIC
  • 15.4.1 MACROECONOMIC OUTLOOK FOR ASIA PACIFIC
  • 15.4.2 CHINA
    • 15.4.2.1 Surging need for real-time threat detection to foster market growth
  • 15.4.3 JAPAN
    • 15.4.3.1 Expanding commercial establishments to accelerate demand
  • 15.4.4 SOUTH KOREA
    • 15.4.4.1 Strong government-led smart city programs and nationwide digital transformation initiatives to propel market
  • 15.4.5 INDIA
    • 15.4.5.1 Rising emphasis on developing smart cities to fuel market growth
  • 15.4.6 SOUTHEAST ASIA
    • 15.4.6.1 Rapid urbanization and increasing investments in smart city projects to drive market
  • 15.4.7 AUSTRALIA
    • 15.4.7.1 Strong regulatory frameworks to support market growth
  • 15.4.8 REST OF ASIA PACIFIC
• 15.5 ROW
  • 15.5.1 MACROECONOMIC OUTLOOK FOR ROW
  • 15.5.2 MIDDLE EAST
    • 15.5.2.1 Bahrain
      • 15.5.2.1.1 Digital transformation initiatives to propel market
    • 15.5.2.2 Kuwait
      • 15.5.2.2.1 Increasing focus on national security and infrastructure resilience to propel market
    • 15.5.2.3 Oman
      • 15.5.2.3.1 Government initiatives to drive market
    • 15.5.2.4 Qatar
      • 15.5.2.4.1 Rising government investments in AI-enabled smart city and digital infrastructure projects to accelerate market growth
    • 15.5.2.5 Saudi Arabia
      • 15.5.2.5.1 Rising investments in digital transformation and security infrastructure to drive adoption
    • 15.5.2.6 UAE
      • 15.5.2.6.1 Smart city initiatives to support market growth
    • 15.5.2.7 Rest of Middle East
  • 15.5.3 AFRICA
    • 15.5.3.1 South Africa
      • 15.5.3.1.1 Focus on smart city development and digital transformation systems to drive market
    • 15.5.3.2 Rest of Africa
  • 15.5.4 SOUTH AMERICA
    • 15.5.4.1 Brazil
      • 15.5.4.1.1 Government initiatives on enhancing public safety through intelligent monitoring systems to propel growth
    • 15.5.4.2 Argentina
      • 15.5.4.2.1 Need to improve public safety and urban management to propel market
    • 15.5.4.3 Rest of South America

16 COMPETITIVE LANDSCAPE

• 16.1 OVERVIEW
• 16.2 KEY PLAYER STRATEGIES/RIGHT TO WIN, 2022-2026
• 16.3 REVENUE ANALYSIS, 2020-2024
• 16.4 MARKET SHARE ANALYSIS, 2025
• 16.5 COMPANY VALUATION AND FINANCIAL METRICS, 2025
• 16.6 BRAND COMPARISON
• 16.7 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2025
  • 16.7.1 STARS
  • 16.7.2 EMERGING LEADERS
  • 16.7.3 PERVASIVE PLAYERS
  • 16.7.4 PARTICIPANTS
  • 16.7.5 COMPANY FOOTPRINT: KEY PLAYERS, 2025
    • 16.7.5.1 Company footprint
    • 16.7.5.2 Region footprint
    • 16.7.5.3 Offering footprint
    • 16.7.5.4 Deployment footprint
    • 16.7.5.5 Function footprint
    • 16.7.5.6 Vertical footprint
• 16.8 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2025
  • 16.8.1 PROGRESSIVE COMPANIES
  • 16.8.2 RESPONSIVE COMPANIES
  • 16.8.3 DYNAMIC COMPANIES
  • 16.8.4 STARTING BLOCKS
  • 16.8.5 COMPETITIVE BENCHMARKING: STARTUPS/SMES, 2025
    • 16.8.5.1 Detailed list of key startups/SMEs
    • 16.8.5.2 Competitive benchmarking of key startups/SMEs
• 16.9 COMPETITIVE SCENARIO
  • 16.9.1 PRODUCT LAUNCHES
  • 16.9.2 DEALS

17 COMPANY PROFILES

• 17.1 KEY PLAYERS
  • 17.1.1 HANGZHOU HIKVISION DIGITAL TECHNOLOGY CO., LTD.
    • 17.1.1.1 Business overview
    • 17.1.1.2 Products/Solutions/Services offered
    • 17.1.1.3 Recent developments
      • 17.1.1.3.1 Product launches
      • 17.1.1.3.2 Deals
    • 17.1.1.4 MnM view
      • 17.1.1.4.1 Key strengths/Right to win
      • 17.1.1.4.2 Strategic choices
      • 17.1.1.4.3 Weaknesses/Competitive threats
  • 17.1.2 DAHUA TECHNOLOGY CO., LTD.
    • 17.1.2.1 Business overview
    • 17.1.2.2 Products/Solutions/Services offered
    • 17.1.2.3 Recent developments
      • 17.1.2.3.1 Product launches
    • 17.1.2.4 MnM view
      • 17.1.2.4.1 Key strengths/Right to win
      • 17.1.2.4.2 Strategic choices
      • 17.1.2.4.3 Weaknesses/Competitive threats
  • 17.1.3 AXIS COMMUNICATIONS AB
    • 17.1.3.1 Business overview
    • 17.1.3.2 Products/Solutions/Services offered
    • 17.1.3.3 Recent developments
      • 17.1.3.3.1 Product launches
      • 17.1.3.3.2 Deals
      • 17.1.3.3.3 Other developments
    • 17.1.3.4 MnM view
      • 17.1.3.4.1 Key strengths/Right to win
      • 17.1.3.4.2 Strategic choices
      • 17.1.3.4.3 Weaknesses/Competitive threats
  • 17.1.4 MOTOROLA SOLUTIONS, INC. (AVIGILON CORPORATION)
    • 17.1.4.1 Business overview
    • 17.1.4.2 Products/Solutions/Services offered
    • 17.1.4.3 Recent developments
      • 17.1.4.3.1 Product launches
      • 17.1.4.3.2 Deals
    • 17.1.4.4 MnM view
      • 17.1.4.4.1 Key strengths/Right to win
      • 17.1.4.4.2 Strategic choices
      • 17.1.4.4.3 Weaknesses/Competitive threats
  • 17.1.5 HANWHA VISION CO., LTD.
    • 17.1.5.1 Business overview
    • 17.1.5.2 Products/Solutions/Services offered
    • 17.1.5.3 Recent developments
      • 17.1.5.3.1 Product launches
      • 17.1.5.3.2 Deals
    • 17.1.5.4 MnM view
      • 17.1.5.4.1 Key strengths/Right to win
      • 17.1.5.4.2 Strategic choices
      • 17.1.5.4.3 Weaknesses/Competitive threats
  • 17.1.6 MILESTONE SYSTEMS A/S
    • 17.1.6.1 Business overview
    • 17.1.6.2 Products/Solutions/Services offered
    • 17.1.6.3 Recent developments
      • 17.1.6.3.1 Product launches
      • 17.1.6.3.2 Deals
  • 17.1.7 SENSETIME
    • 17.1.7.1 Business overview
    • 17.1.7.2 Products/Solutions/Services offered
    • 17.1.7.3 Recent developments
      • 17.1.7.3.1 Product launches
      • 17.1.7.3.2 Deals
  • 17.1.8 IRISITY
    • 17.1.8.1 Business overview
    • 17.1.8.2 Products/Solutions/Services offered
    • 17.1.8.3 Recent developments
      • 17.1.8.3.1 Product launches
      • 17.1.8.3.2 Deals
  • 17.1.9 NEC CORPORATION
    • 17.1.9.1 Business overview
    • 17.1.9.2 Products/Solutions/Services offered
    • 17.1.9.3 Recent developments
      • 17.1.9.3.1 Product launches
      • 17.1.9.3.2 Deals
  • 17.1.10 GENETEC INC.
    • 17.1.10.1 Business overview
    • 17.1.10.2 Products/Solutions/Services offered
    • 17.1.10.3 Recent developments
      • 17.1.10.3.1 Product launches
      • 17.1.10.3.2 Deals
  • 17.1.11 MOBOTIX AG
    • 17.1.11.1 Business overview
    • 17.1.11.2 Products/Solutions/Services offered
    • 17.1.11.3 Recent developments
      • 17.1.11.3.1 Product launches
      • 17.1.11.3.2 Deals
  • 17.1.12 TELEDYNE TECHNOLOGIES INCORPORATED
    • 17.1.12.1 Business overview
    • 17.1.12.2 Products/Solutions/Services offered
    • 17.1.12.3 Recent developments
      • 17.1.12.3.1 Product launches
      • 17.1.12.3.2 Other developments
  • 17.1.13 HONEYWELL INTERNATIONAL INC.
    • 17.1.13.1 Business overview
    • 17.1.13.2 Products/Solutions/Services offered
    • 17.1.13.3 Recent developments
      • 17.1.13.3.1 Deals
  • 17.1.14 VIVOTEK INC.
    • 17.1.14.1 Business overview
    • 17.1.14.2 Products/Solutions/Services offered
    • 17.1.14.3 Recent developments
      • 17.1.14.3.1 Product launches
      • 17.1.14.3.2 Deals
  • 17.1.15 I-PRO CO., LTD.
    • 17.1.15.1 Business overview
    • 17.1.15.2 Products/Solutions/Services offered
    • 17.1.15.3 Recent developments
      • 17.1.15.3.1 Product launches
      • 17.1.15.3.2 Deals
• 17.2 OTHER PLAYERS
  • 17.2.1 VERKAINCINC.
  • 17.2.2 MORPHEAN SA
  • 17.2.3 BOSCH SICHERHEITSSYSTEME GMBH
  • 17.2.4 AXXONSOFT
  • 17.2.5 CAMCLOUD
  • 17.2.6 IVIDEON
  • 17.2.7 HAKIMO, INC.
  • 17.2.8 PROMISEQ GMBH
  • 17.2.9 RHOMBUS SYSTEMS
  • 17.2.10 UMBO COMPUTER VISION INC.

18 RESEARCH METHODOLOGY

• 18.1 RESEARCH DATA
  • 18.1.1 SECONDARY DATA
    • 18.1.1.1 List of key secondary sources
    • 18.1.1.2 Key data from secondary sources
  • 18.1.2 PRIMARY DATA
    • 18.1.2.1 List of primary interview participants
    • 18.1.2.2 Breakdown of primaries
    • 18.1.2.3 Key data from primary sources
    • 18.1.2.4 Key industry insights
  • 18.1.3 SECONDARY AND PRIMARY RESEARCH
• 18.2 MARKET SIZE ESTIMATION
  • 18.2.1 BOTTOM-UP APPROACH
    • 18.2.1.1 Approach to arrive at market size using bottom-up analysis (demand side)
  • 18.2.2 TOP-DOWN APPROACH
    • 18.2.2.1 Approach to arrive at market size using top-down analysis (supply side)
  • 18.2.3 DEMAND-SIDE ANALYSIS
  • 18.2.4 SUPPLY-SIDE ANALYSIS
• 18.3 MARKET BREAKDOWN AND DATA TRIANGULATION
• 18.4 RESEARCH ASSUMPTIONS
• 18.5 RISK ASSESSMENT
• 18.6 RESEARCH LIMITATIONS

19 APPENDIX

• 19.1 DISCUSSION GUIDE
• 19.2 KNOWLEDGESTORE: MARKETSANDMARKETS' SUBSCRIPTION PORTAL
• 19.3 CUSTOMIZATION OPTIONS
• 19.4 RELATED REPORTS
• 19.5 AUTHOR DETAILS