AI in Video Surveillance Market by Offering (AI Camera, Video Management System, Video Analytics), Deployment (Cloud, Edge), Technology (Machine Learning, Deep Learning, GenAI, Computer Vision, Natural Language Processing) - Global Forecast to 2030

December 2024 | 286 pages | ID: A90FBEBFDC7FEN
MarketsandMarkets

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The AI in video surveillance market is projected to grow from USD 3.90 billion in 2024 and is expected to reach USD 12.46 billion by 2030, growing at a CAGR of 21.3% from 2025 to 2030. As crime rates and terrorism threats continue to swell, governments and enterprises are also investing a fortune in highly advanced surveillance equipment to safeguard the public. According to the Council of Criminal Justice, the general trends regarding property crime in 2023 compared with 2019 show declines in residential burglaries and larcenies; however, nonresidential burglaries increased, motor vehicle thefts increased by 105 percent, and drug-related offenses decreased by 27 percent. According to the 4th global homicide study of the United Nations Office on Drugs and Crime, Africa was the region with the highest intentional homicide rate at 176,000 victims in 2021, followed by the Americas at 154,000, Asia at 109,000, Europe at 17,000, and Oceania at 1,000 victims, with improvement observed in 2022.

“The cloud segment in the AI in video surveillance market is to witness a higher growth rate during the forecast period.”

The cloud segment is mainly driven by cloud-based solutions that are increasingly adopted by small and medium enterprises, primarily because they provide the flexibility, scalability, and cost-effectiveness features that the organizations require. In addition, the speed at which sophisticated security solutions for cloud-based deployment are developed offers answers to issues that exist regarding data privacy and thus attracts businesses seeking to adopt AI without investing in big premises-based infrastructure.

“Market for inference in the AI in video surveillance market to hold the largest market share during the forecast period.”

Inference in the AI in video surveillance market to hold the largest market share during the forecast period driven by actionable insights directly at the edge or near-edge devices. Inference allows rapid video stream analysis to detect objects, face recognition, and anomaly detection without relying on centralized data centers, reducing latency and bandwidth utilization. This capability is important for real-time applications such as public safety, traffic monitoring, and retail analytics, where timely responses to events may significantly improve operational efficiency and security outcomes.

“China is expected to hold the largest market size in the Asia Pacific region during the forecast period.”

The Chinese government is promoting AI video surveillance systems with weapon detection capabilities. This broader push is for facial recognition and surveillance cameras in public spaces. The growth of AI-driven surveillance in sectors like transportation, law enforcement, and public services is another factor fueling market growth, aligning with the country's strategic goals for technological innovation and societal safety.
  • By Company Type: Tier 1 – 20%, Tier 2 – 35%, and Tier 3 – 45%
  • By Designation: C-level Executives – 15%, Directors –20%, and Others – 65%
  • By Region: North America –20%, Europe – 15%, Asia Pacific– 60%, and RoW – 5%
Prominent players profiled in this report include Hikvision Digital Technology Co., Ltd. (China), Dahua Technology Co., Ltd. (China), Motorola Solutions, Inc. (US), Milestone Systems A/S (Denmark), SenseTime (Hong Kong), Irisity (Sweden), NEC Corporation (Japan), Axis Communications AB (Sweden), Genetec Inc. (Canada), Hanwha Vision Co., Ltd., (South Korea) among a few other key companies in the AI in video surveillance market.

Report Coverage

The report defines, describes, and forecasts the AI in video surveillance market based on use case, offering, deployment, function, technology, application, vertical, and region. It provides detailed information regarding drivers, restraints, opportunities, and challenges influencing the market's growth. It also analyzes competitive developments such as acquisitions, product launches, expansions, and actions carried out by the key players to grow in the market.

Reasons to Buy This Report

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

The report will provide insights into the following pointers:
  • Analysis of key drivers (Rise of smart city initiatives), restraints (Privacy and security issues in AI-powered systems), opportunities (Integration of AI with IoT and other emerging technologies), and challenges (Data inaccuracy and reliability issues in video analytics) of the AI in video surveillance market.
  • Product development /Innovation: Detailed insights on upcoming technologies, research & 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 various regions.
  • Market Diversification: Exhaustive information about new products launched, untapped geographies, recent developments, and investments in the AI in video surveillance market.
  • Competitive Assessment: In-depth assessment of market share, growth strategies, and offering of leading players like Hikvision Digital Technology Co., Ltd. (China), Dahua Technology Co., Ltd. (China), Motorola Solutions, Inc. (US), Milestone Systems A/S (Denmark), SenseTime (Hong Kong) among others in the AI in video surveillance market.
1 INTRODUCTION

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

2 RESEARCH METHODOLOGY

2.1 RESEARCH DATA
  2.1.1 SECONDARY DATA
    2.1.1.1 List of key secondary sources
    2.1.1.2 Key data from secondary sources
  2.1.2 PRIMARY DATA
    2.1.2.1 List of primary interview participants
    2.1.2.2 Breakdown of primaries
    2.1.2.3 Key data from primary sources
    2.1.2.4 Key industry insights
  2.1.3 SECONDARY AND PRIMARY RESEARCH
2.2 MARKET SIZE ESTIMATION METHODOLOGY
  2.2.1 BOTTOM-UP APPROACH
    2.2.1.1 Approach to arrive at market size using bottom-up analysis
(demand side)
  2.2.2 TOP-DOWN APPROACH
    2.2.2.1 Approach to arrive at market size using top-down analysis
(supply side)
2.3 MARKET BREAKDOWN AND DATA TRIANGULATION
2.4 RESEARCH ASSUMPTIONS
2.5 RISK ANALYSIS
2.6 RESEARCH LIMITATIONS

3 EXECUTIVE SUMMARY

4 PREMIUM INSIGHTS

4.1 ATTRACTIVE OPPORTUNITIES FOR PLAYERS IN AI IN VIDEO SURVEILLANCE MARKET
4.2 AI IN VIDEO SURVEILLANCE MARKET, BY OFFERING
4.3 AI IN VIDEO SURVEILLANCE MARKET, BY DEPLOYMENT
4.4 AI IN VIDEO SURVEILLANCE MARKET, BY FUNCTION
4.5 AI IN VIDEO SURVEILLANCE MARKET IN ASIA PACIFIC, BY DEPLOYMENT AND COUNTRY
4.6 AI IN VIDEO SURVEILLANCE MARKET, BY COUNTRY

5 MARKET OVERVIEW

5.1 INTRODUCTION
5.2 MARKET DYNAMICS
  5.2.1 DRIVERS
    5.2.1.1 Increasing demand for advanced security solutions
    5.2.1.2 Advancements in deep learning and computer vision technologies
    5.2.1.3 Rising crime rate
    5.2.1.4 Deployment of sophisticated surveillance systems in smart cities
  5.2.2 RESTRAINTS
    5.2.2.1 Privacy and security issues in AI-powered systems
    5.2.2.2 High costs associated with implementing and maintaining
AI-powered video surveillance systems
  5.2.3 OPPORTUNITIES
    5.2.3.1 Integration of AI with IoT devices
    5.2.3.2 Growing adoption of smart home technologies
    5.2.3.3 Deployment of AI in retail and transportation sectors
    5.2.3.4 Integration of AI cameras with ML algorithms
    5.2.3.5 Adoption of Gen AI technologies in developing countries
  5.2.4 CHALLENGES
    5.2.4.1 Complex and varied data protection laws across different regions
    5.2.4.2 Occurrence of false negatives
    5.2.4.3 Vulnerability to cyberattacks
5.3 VALUE CHAIN ANALYSIS
5.4 ECOSYSTEM ANALYSIS
5.5 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS
5.6 TECHNOLOGY ANALYSIS
  5.6.1 KEY TECHNOLOGIES
    5.6.1.1 ML
    5.6.1.2 Computer vision
  5.6.2 COMPLEMENTARY TECHNOLOGIES
    5.6.2.1 IoT
    5.6.2.2 5G connectivity
  5.6.3 ADJACENT TECHNOLOGIES
    5.6.3.1 Smart home automation
5.7 INVESTMENT AND FUNDING SCENARIO
5.8 PORTER’S FIVE FORCES ANALYSIS
  5.8.1 INTENSITY OF COMPETITIVE RIVALRY
  5.8.2 BARGAINING POWER OF SUPPLIERS
  5.8.3 BARGAINING POWER OF BUYERS
  5.8.4 THREAT OF SUBSTITUTES
  5.8.5 THREAT OF NEW ENTRANTS
5.9 KEY STAKEHOLDERS AND BUYING CRITERIA
  5.9.1 KEY STAKEHOLDERS IN BUYING PROCESS
  5.9.2 BUYING CRITERIA
5.10 CASE STUDY ANALYSIS
  5.10.1 MOBOTIX ASSISTED REAL-TIME CRIME CENTER IN ENHANCING COVERAGE AND REDUCING COSTS USING S74 CAMERAS
  5.10.2 BRIEFCAM HELPED US-BASED HOSPITAL WITH VIDEO SYNOPSIS TO
DETECT SECURITY BREACHES EFFICIENTLY
  5.10.3 MINISO ADOPTED HANGZHOU HIKVISION DIGITAL TECHNOLOGY CO., LTD.’S CENTRALLY MANAGED SECURITY SYSTEM TO BOOST SURVEILLANCE
  5.10.4 KYRGYZSTAN BANK INTEGRATED DAHUA TECHNOLOGY’S HYBRID SURVEILLANCE SOLUTION TO IMPROVE IMAGE QUALITY
  5.10.5 MOTOROLA HELPED LONG BEACH HOUSING AUTHORITY DEPLOY HD CAMERAS TO BOOST MONITORING CAPABILITIES AND OFFER REMOTE ACCESS FOR BETTER OVERSIGHT
5.11 TRADE ANALYSIS
  5.11.1 IMPORT SCENARIO (HS CODE 852580)
  5.11.2 EXPORT SCENARIO (HS CODE 852580)
5.12 PATENT ANALYSIS
5.13 KEY CONFERENCES AND EVENTS, 2024–2025
5.14 TARIFF AND REGULATORY LANDSCAPE
  5.14.1 TARIFF ANALYSIS
  5.14.2 REGULATORY BODIES, GOVERNMENT AGENCIES,
AND OTHER ORGANIZATIONS
  5.14.3 STANDARDS
  5.14.4 REGULATIONS
5.15 PRICING ANALYSIS
  5.15.1 INDICATIVE PRICING OF AI CAMERA OFFERINGS, BY KEY PLAYER, 2024
  5.15.2 AVERAGE SELLING PRICE TREND, BY REGION, 2020–2023

6 USE CASES OF AI-POWERED VIDEO SURVEILLANCE SYSTEMS

6.1 INTRODUCTION
6.2 GUN DETECTION
6.3 INDUSTRIAL TEMPERATURE MONITORING
6.4 ANOMALY DETECTION & BEHAVIOR RECOGNITION
6.5 FACIAL RECOGNITION/PERSON SEARCH
6.6 OBJECT DETECTION & TRACKING
6.7 INTRUSION DETECTION & PERIMETER PROTECTION
6.8 SMOKE & FIRE DETECTION
6.9 TRAFFIC FLOW ANALYSIS & ACCIDENT DETECTION
6.10 FALSE ALARM FILTERING
6.11 PARKING MONITORING
6.12 VEHICLE IDENTIFICATION & NUMBER PLATE RECOGNITION

7 APPLICATIONS OF AI IN VIDEO SURVEILLANCE

7.1 INTRODUCTION
7.2 SECURITY & PUBLIC SAFETY
7.3 TRAFFIC MONITORING & MANAGEMENT
7.4 INTELLIGENT TRANSPORTATION SYSTEM
7.5 RETAIL MANAGEMENT
7.6 URBAN PLANNING & SMART CITIES

8 AI IN VIDEO SURVEILLANCE MARKET, BY OFFERING

8.1 INTRODUCTION
8.2 AI CAMERAS
  8.2.1 WIRED
    8.2.1.1 Rising adoption to enable long-distance data transmission to
fuel segmental growth
  8.2.2 WIRELESS
    8.2.2.1 Increasing implementation to cater to changing surveillance needs to accelerate segmental growth
8.3 SOFTWARE
  8.3.1 AI-DRIVEN VIDEO MANAGEMENT SYSTEMS
    8.3.1.1 Ability to provide real-time monitoring, playback, and advanced analytics to boost segmental growth
  8.3.2 AI-DRIVEN VIDEO ANALYTICS
    8.3.2.1 Edge analytics
      8.3.2.1.1 Ability to minimize latency and reduce bandwidth usage to augment segmental growth
    8.3.2.2 Server analytics
      8.3.2.2.1 Focus on handling complex tasks using robust computational power to fuel segmental growth

9 AI IN VIDEO SURVEILLANCE MARKET, BY DEPLOYMENT

9.1 INTRODUCTION
9.2 EDGE-BASED
  9.2.1 INCREASING DEMAND FOR HIGHLY CUSTOMIZABLE, AI-INTEGRATED SURVEILLANCE SOLUTIONS TO ACCELERATE SEGMENTAL GROWTH
9.3 CLOUD-BASED
  9.3.1 RISING PREFERENCE FOR REMOTE ACCESSIBILITY AND
REAL-TIME MONITORING TO BOOST SEGMENTAL GROWTH

10 AI IN VIDEO SURVEILLANCE MARKET, BY FUNCTION

10.1 INTRODUCTION
10.2 TRAINING
  10.2.1 INCREASING COMPLEXITY OF SURVEILLANCE TASKS TO CONTRIBUTE TO SEGMENTAL GROWTH
10.3 INFERENCE
  10.3.1 RISING DEMAND FOR REAL-TIME THREAT DETECTION TO AUGMENT SEGMENTAL GROWTH

11 AI IN VIDEO SURVEILLANCE MARKET, BY TECHNOLOGY

11.1 INTRODUCTION
11.2 MACHINE LEARNING
  11.2.1 ABILITY TO INTELLIGENTLY ANALYZE AND INTERPRET VIDEO DATA TO
BOLSTER SEGMENTAL GROWTH
  11.2.2 DEEP LEARNING
  11.2.3 CONVOLUTIONAL NEURAL NETWORKS
11.3 GENERATIVE AI
  11.3.1 STRONG FOCUS ON ENHANCING TRAINING, SIMULATION, AND PREDICTIVE CAPABILITIES TO ACCELERATE SEGMENTAL GROWTH
  11.3.2 RULE-BASED MODELS
  11.3.3 STATISTICAL MODELS
11.4 COMPUTER VISION
  11.4.1 NEED FOR ADVANCED PROCESSING CAPABILITIES TO
BOOST SEGMENTAL GROWTH
11.5 NATURAL LANGUAGE PROCESSING
  11.5.1 ABILITY TO ENHANCE VIDEO SURVEILLANCE SYSTEMS TO
EXPEDITE SEGMENTAL GROWTH

12 AI IN VIDEO SURVEILLANCE MARKET, BY VERTICAL

12.1 INTRODUCTION
12.2 RESIDENTIAL
  12.2.1 RISING ADOPTION OF SMART CITY INITIATIVES TO BOLSTER
SEGMENTAL GROWTH
12.3 COMMERCIAL
  12.3.1 RETAIL STORES & MALLS
    12.3.1.1 Requirement for comprehensive surveillance across large areas using advanced tools to fuel segmental growth
  12.3.2 BANKING & FINANCIAL BUILDINGS
    12.3.2.1 Emphasis on safeguarding data and infrastructure to contribute to segmental growth
  12.3.3 HOSPITALITY CENTERS
    12.3.3.1 Increased demand for enhanced guest security solutions to
stimulate segmental growth
12.4 MILITARY & DEFENSE
  12.4.1 BORDER SURVEILLANCE
    12.4.1.1 Rising focus on preventing smuggling and other illegal activities to foster segmental growth
  12.4.2 COASTAL SURVEILLANCE
    12.4.2.1 Growing intrusion and maritime threats to boost segmental growth
12.5 GOVERNMENT & PUBLIC FACILITIES
  12.5.1 LAW ENFORCEMENT BUILDINGS
    12.5.1.1 Increasing adoption of AI and ML in video surveillance systems to accelerate segmental growth
  12.5.2 TRANSPORTATION FACILITIES
    12.5.2.1 Rising integration of AI with real-time traffic monitoring solutions to foster segmental growth
  12.5.3 CITY SURVEILLANCE
    12.5.3.1 Growing emphasis on enhancing public safety and law enforcement to foster market growth
  12.5.4 HEALTHCARE FACILITIES
    12.5.4.1 Increasing installation of intelligent video surveillance systems for threat detection to augment segmental growth
  12.5.5 EDUCATIONAL FACILITIES
    12.5.5.1 Growing investment in AI systems to enhance security to
fuel segmental growth
  12.5.6 RELIGIOUS FACILITIES
    12.5.6.1 Rising need to safeguard artifacts and prevent firearm threats to contribute to segmental growth
12.6 INDUSTRIAL
  12.6.1 MANUFACTURING
    12.6.1.1 Rising integration of advanced technologies to optimize workflows and ensure safety compliance to drive market
  12.6.2 ENERGY & UTILITIES
    12.6.2.1 Escalating use of motion detection, automated alerts, and high-resolution cameras to accelerate segmental growth
  12.6.3 CONSTRUCTION SITES
    12.6.3.1 Increasing focus on meeting safety regulations to drive market
12.7 CRITICAL INFRASTRUCTURE
  12.7.1 DATA CENTERS
    12.7.1.1 Growing adoption of surveillance cameras to safeguard critical assets to fuel segmental growth
  12.7.2 TELECOMMUNICATIONS
    12.7.2.1 Rising need for enhanced security and operational efficiency to augment segmental growth

13 AI IN VIDEO SURVEILLANCE MARKET, BY REGION

13.1 INTRODUCTION
13.2 NORTH AMERICA
  13.2.1 MACROECONOMIC OUTLOOK FOR NORTH AMERICA
  13.2.2 US
    13.2.2.1 Rising demand for smart surveillance systems in smart cities to
foster market growth
  13.2.3 CANADA
    13.2.3.1 Increasing break-and-enter cases to boost market growth
  13.2.4 MEXICO
    13.2.4.1 Growing affordability of AI CCTV technology to fuel market growth
13.3 EUROPE
  13.3.1 MACROECONOMIC OUTLOOK FOR EUROPE
  13.3.2 UK
    13.3.2.1 Rising public–private collaborations to offer lucrative
growth opportunities
  13.3.3 GERMANY
    13.3.3.1 Growing demand for efficient and effective surveillance solutions to stimulate market growth
  13.3.4 FRANCE
    13.3.4.1 Growing emphasis on smart urban development to
fuel market growth
  13.3.5 ITALY
    13.3.5.1 Rising integration of advanced AI-driven analytics into surveillance systems to drive market
  13.3.6 SPAIN
    13.3.6.1 Increasing deployment of 5G-enabled facial recognition surveillance systems to boost market growth
  13.3.7 REST OF EUROPE
13.4 ASIA PACIFIC
  13.4.1 MACROECONOMIC OUTLOOK FOR ASIA PACIFIC
  13.4.2 CHINA
    13.4.2.1 Surging need for real-time threat detection to foster market growth
  13.4.3 JAPAN
    13.4.3.1 Expanding commercial establishments to accelerate demand
  13.4.4 SOUTH KOREA
    13.4.4.1 Increasing demand for IP security solutions to support market growth
  13.4.5 INDIA
    13.4.5.1 Rising emphasis on developing smart cities to fuel market growth
  13.4.6 REST OF ASIA PACIFIC
13.5 ROW
  13.5.1 MACROECONOMIC OUTLOOK FOR ROW
  13.5.2 MIDDLE EAST
    13.5.2.1 Rising need to boost security due to terrorist attacks to
fuel market growth
  13.5.3 AFRICA
    13.5.3.1 Rising emphasis on enhancing public safety and modernizing
urban infrastructure to fuel market growth
  13.5.4 SOUTH AMERICA
    13.5.4.1 Growing focus on leveraging technologies for crime prevention and security enhancement to boost market growth

14 COMPETITIVE LANDSCAPE

14.1 OVERVIEW
14.2 KEY PLAYER STRATEGIES/RIGHT TO WIN, 2020–2024
14.3 REVENUE ANALYSIS, 2019–2023
14.4 MARKET SHARE ANALYSIS, 2023
14.5 COMPANY VALUATION AND FINANCIAL METRICS, 2024
14.6 BRAND COMPARISON
14.7 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2023
  14.7.1 STARS
  14.7.2 EMERGING LEADERS
  14.7.3 PERVASIVE PLAYERS
  14.7.4 PARTICIPANTS
  14.7.5 COMPANY FOOTPRINT: KEY PLAYERS, 2024
    14.7.5.1 Company footprint
    14.7.5.2 Region footprint
    14.7.5.3 Offering footprint
    14.7.5.4 Deployment footprint
    14.7.5.5 Function footprint
    14.7.5.6 Vertical footprint
14.8 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2024
  14.8.1 PROGRESSIVE COMPANIES
  14.8.2 RESPONSIVE COMPANIES
  14.8.3 DYNAMIC COMPANIES
  14.8.4 STARTING BLOCKS
  14.8.5 COMPETITIVE BENCHMARKING: STARTUPS/SMES, 2023
    14.8.5.1 Detailed list of key startups/SMEs
    14.8.5.2 Competitive benchmarking of key startups/SMEs
14.9 COMPETITIVE SCENARIO
  14.9.1 PRODUCT LAUNCHES/DEVELOPMENTS
  14.9.2 DEALS
  14.9.3 OTHER DEVELOPMENTS

15 COMPANY PROFILES

15.1 KEY PLAYERS
  15.1.1 HANGZHOU HIKVISION DIGITAL TECHNOLOGY CO., LTD.
    15.1.1.1 Business overview
    15.1.1.2 Products/Solutions/Services offered
    15.1.1.3 Recent developments
      15.1.1.3.1 Product launches/developments
      15.1.1.3.2 Deals
    15.1.1.4 MnM view
      15.1.1.4.1 Key strengths/Right to win
      15.1.1.4.2 Strategic choices
      15.1.1.4.3 Weaknesses/Competitive threats
  15.1.2 DAHUA TECHNOLOGY CO., LTD.
    15.1.2.1 Business overview
    15.1.2.2 Products/Solutions/Services offered
    15.1.2.3 Recent developments
      15.1.2.3.1 Product launches/developments
    15.1.2.4 MnM view
      15.1.2.4.1 Key strengths/Right to win
      15.1.2.4.2 Strategic choices
      15.1.2.4.3 Weaknesses/Competitive threats
  15.1.3 AXIS COMMUNICATIONS AB
    15.1.3.1 Business overview
    15.1.3.2 Products/Solutions/Services offered
    15.1.3.3 Recent developments
      15.1.3.3.1 Product launches/developments
      15.1.3.3.2 Deals
      15.1.3.3.3 Other developments
    15.1.3.4 MnM view
      15.1.3.4.1 Key strengths/Right to win
      15.1.3.4.2 Strategic choices
      15.1.3.4.3 Weaknesses/Competitive threats
  15.1.4 MOTOROLA SOLUTIONS, INC. (AVIGILON CORPORATION)
    15.1.4.1 Business overview
    15.1.4.2 Products/Solutions/Services offered
    15.1.4.3 Recent developments
      15.1.4.3.1 Product launches/developments
      15.1.4.3.2 Deals
    15.1.4.4 MnM view
      15.1.4.4.1 Key strengths/Right to win
      15.1.4.4.2 Strategic choices
      15.1.4.4.3 Weaknesses/Competitive threats
  15.1.5 HANWHA VISION CO., LTD.
    15.1.5.1 Business overview
    15.1.5.2 Products/Solutions/Services offered
    15.1.5.3 Recent developments
      15.1.5.3.1 Product launches/developments
      15.1.5.3.2 Deals
    15.1.5.4 MnM view
      15.1.5.4.1 Key strengths/Right to win
      15.1.5.4.2 Strategic choices
      15.1.5.4.3 Weaknesses/Competitive threats
  15.1.6 MILESTONE SYSTEMS A/S
    15.1.6.1 Business overview
    15.1.6.2 Products/Solutions/Services offered
    15.1.6.3 Recent developments
      15.1.6.3.1 Product launches/developments
      15.1.6.3.2 Deals
  15.1.7 SENSETIME
    15.1.7.1 Business overview
    15.1.7.2 Products/Solutions/Services offered
    15.1.7.3 Recent developments
      15.1.7.3.1 Product launches/developments
      15.1.7.3.2 Deals
  15.1.8 IRISITY
    15.1.8.1 Business overview
    15.1.8.2 Products/Solutions/Services offered
    15.1.8.3 Recent developments
      15.1.8.3.1 Product launches/developments
      15.1.8.3.2 Deals
  15.1.9 NEC CORPORATION
    15.1.9.1 Business overview
    15.1.9.2 Products/Solutions/Services offered
    15.1.9.3 Recent developments
      15.1.9.3.1 Deals
  15.1.10 GENETEC INC.
    15.1.10.1 Business overview
    15.1.10.2 Products/Solutions/Services offered
    15.1.10.3 Recent developments
      15.1.10.3.1 Product launches/developments
  15.1.11 BRIEFCAM
    15.1.11.1 Business overview
    15.1.11.2 Products/Solutions/Services offered
    15.1.11.3 Recent developments
      15.1.11.3.1 Product launches/developments
  15.1.12 MOBOTIX AG
    15.1.12.1 Business overview
    15.1.12.2 Products/Solutions/Services offered
    15.1.12.3 Recent developments
      15.1.12.3.1 Product launches/developments
      15.1.12.3.2 Deals
  15.1.13 TELEDYNE TECHNOLOGIES INCORPORATED
    15.1.13.1 Business overview
    15.1.13.2 Products/Solutions/Services offered
    15.1.13.3 Recent developments
      15.1.13.3.1 Product launches/developments
  15.1.14 HONEYWELL INTERNATIONAL INC.
    15.1.14.1 Business overview
    15.1.14.2 Products/Solutions/Services offered
    15.1.14.3 Recent developments
      15.1.14.3.1 Product launches/developments
  15.1.15 VIVOTEK INC.
    15.1.15.1 Business overview
    15.1.15.2 Products/Solutions/Services offered
    15.1.15.3 Recent developments
      15.1.15.3.1 Product launches/developments
      15.1.15.3.2 Deals
15.2 OTHER PLAYERS
  15.2.1 VERKADA INC.
  15.2.2 MORPHEAN SA
  15.2.3 BOSCH SICHERHEITSSYSTEME GMBH
  15.2.4 IPRO
  15.2.5 CAMCLOUD
  15.2.6 IVIDEON
  15.2.7 HAKIMO, INC.
  15.2.8 PROMISEQ GMBH
  15.2.9 RHOMBUS SYSTEMS
  15.2.10 UMBO COMPUTER VISION INC.

16 APPENDIX

16.1 DISCUSSION GUIDE
16.2 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL
16.3 CUSTOMIZATION OPTIONS
16.4 RELATED REPORTS
16.5 AUTHOR DETAILS


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