세계의 비디오 감시용 AI 시장 예측(-2030년) : 오퍼링별, 도입별, 기능별, 기술별, 업계별, 지역별
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
상품코드:1630475
리서치사:MarketsandMarkets
발행일:2024년 12월
페이지 정보:영문 286 Pages
라이선스 & 가격 (부가세 별도)
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한글목차
비디오 감시용 AI 시장 규모는 2024년 39억 달러에서 2030년에는 124억 6,000만 달러에 달할 것으로 예측되며, 2025-2030년 CAGR은 21.3%에 달할 것으로 보이고 있습니다.
범죄율 및 테러의 위협이 계속 확대하는 가운데 정부와 기업은 국민을 보호하기 위해 첨단 감시 장비에 막대한 투자를 하고 있습니다. 형사사법위원회에 따르면 2019년과 2023년 재산 범죄의 일반적 추세를 비교하면 주택 강도와 절도는 감소했지만 비주택 강도는 증가, 자동차 절도는 105% 증가, 마약 관련 범죄는 27% 감소했다고 합니다. 유엔마약범죄사무국의 제4차 세계 살인조사에 따르면 2021년 고의적 살인 피해자가 가장 많은 지역은 아프리카 17만 6,000명, 아메리카 15만 4,000명, 아시아 10만 9,000명, 유럽 1만 7,000명, 오세아니아 1,000명 순이며, 2022년에는 개선이 보입니다.
조사 범위
조사 대상년
2020-2030년
기준년
2023년
예측 기간
2024-2030년
검토 단위
금액(10억 달러)
부문별
오퍼링별, 도입별, 기능별, 기술별, 업계별, 지역별
대상 지역
북미, 유럽, 아시아태평양, 기타 지역
클라우드 분야는 주로 중소기업에서 클라우드 기반 솔루션의 채택이 증가하고 있으며, 그 주요 이유는 조직이 필요로 하는 유연성, 확장성, 비용 효율적인 기능을 제공하기 때문입니다. 또한 클라우드 기반 배포를 위한 고급 보안 솔루션의 개발 속도는 데이터 프라이버시 문제에 대한 해답을 제공하므로 대규모 사내 인프라에 투자하지 않고도 AI를 도입하고자 하는 기업을 끌어들이고 있습니다.
영상 감시 분야의 AI 시장은 엣지 또는 니어엣지 디바이스에서 직접 실행 가능한 인사이트에 힘입어 예측 기간 중 가장 큰 시장 점유율을 차지할 것으로 예상됩니다. 추론은 중앙 집중식 데이터센터에 의존하지 않고도 물체 감지, 얼굴 인식, 이상 감지 등을 위해 비디오 스트림을 신속하게 분석하여 대기 시간과 대역폭 활용을 줄일 수 있습니다. 이 기능은 공공안전, 교통 모니터링, 소매 분석과 같은 실시간 용도에 중요하며, 이벤트에 대한 적시 대응은 업무 효율성과 보안 성과를 크게 향상시킬 수 있습니다.
중국 정부는 무기 감지 기능을 갖춘 AI 영상 감시 시스템을 추진하고 있습니다. 이 광범위한 추진은 공공장소의 얼굴 인식 및 감시 카메라를 위한 것입니다. 교통, 법 집행 기관, 공공 서비스 등의 분야에서 AI 기반 감시의 성장은 기술 혁신과 사회 안전에 대한 국가의 전략적 목표와 일치하며 시장 성장을 가속하는 또 다른 요인입니다.
세계의 비디오 감시용 AI 시장에 대해 조사했으며, 오퍼링별, 도입별, 기능별, 기술별, 업계별, 지역별 동향 및 시장에 참여하는 기업의 개요 등을 정리하여 전해드립니다.
목차
제1장 서론
제2장 조사 방법
제3장 개요
제4장 주요 인사이트
제5장 시장 개요
서론
시장 역학
밸류체인 분석
에코시스템 분석
고객 비즈니스에 영향을 미치는 동향/혼란
기술 분석
투자와 자금조달 시나리오
Porter's Five Forces 분석
주요 이해관계자와 구입 기준
사례 연구 분석
무역 분석
특허 분석
2024-2025년의 주요 컨퍼런스와 이벤트
관세와 규제 상황
가격 분석
제6장 AI를 활용한 비디오 감시 시스템 사용 사례
서론
총기 탐지
산업용 온도 감시
이상 탐지와 행동 인식
얼굴 인식/인물 검색
물체 탐지와 추적
침입 탐지와 경계 보호
연기와 화재 감지
교통 흐름 분석과 사고 탐지
오보 필터링
주차 감시
차량 식별과 번호판 인식
제7장 비디오 감시용 AI의 응용
서론
보안과 공공안전
교통 감시와 관리
지능형 교통시스템
소매 관리
도시계획과 스마트 시티
제8장 비디오 감시용 AI 시장, 오퍼링별
서론
AI 카메라
소프트웨어
제9장 비디오 감시용 AI 시장, 도입별
서론
엣지 기반
클라우드 기반
제10장 비디오 감시용 AI 시장, 기능별
서론
트레이닝
추론
제11장 비디오 감시용 AI 시장, 기술별
서론
기계학습
생성형 AI
컴퓨터 비전
자연언어처리
제12장 비디오 감시용 AI 시장, 업계별
서론
주택
상업
군·방위
정부 및 공공 시설
산업
중요 인프라
제13장 비디오 감시용 AI 시장, 지역별
서론
북미
북미의 거시경제 전망
미국
캐나다
멕시코
유럽
유럽의 거시경제 전망
영국
독일
프랑스
이탈리아
스페인
기타
아시아태평양
아시아태평양의 거시경제 전망
중국
일본
한국
인도
기타
기타 지역
기타 지역의 거시경제 전망
중동
아프리카
남미
제14장 경쟁 구도
개요
주요 참여 기업의 전략/강점, 2020-2024년
매출 분석, 2019-2023년
시장 점유율 분석, 2023년
기업 평가와 재무 지표, 2024년
브랜드 비교
기업 평가 매트릭스 : 주요 참여 기업, 2023년
기업 평가 매트릭스 : 스타트업/중소기업, 2024년
경쟁 시나리오
제15장 기업 개요
주요 참여 기업
HANGZHOU HIKVISION DIGITAL TECHNOLOGY CO., LTD.
DAHUA TECHNOLOGY CO., LTD.
AXIS COMMUNICATIONS AB
MOTOROLA SOLUTIONS, INC.(AVIGILON CORPORATION)
HANWHA VISION CO., LTD.
MILESTONE SYSTEMS A/S
SENSETIME
IRISITY
NEC CORPORATION
GENETEC INC.
BRIEFCAM
MOBOTIX AG
TELEDYNE TECHNOLOGIES INCORPORATED
HONEYWELL INTERNATIONAL INC.
VIVOTEK INC.
기타 기업
VERKADA INC.
MORPHEAN SA
BOSCH SICHERHEITSSYSTEME GMBH
IPRO
CAMCLOUD
IVIDEON
HAKIMO, INC.
PROMISEQ GMBH
RHOMBUS SYSTEMS
UMBO COMPUTER VISION INC.
제16장 부록
KSA
영문 목차
영문목차
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.
Scope of the Report
Years Considered for the Study
2020-2030
Base Year
2023
Forecast Period
2024-2030
Units Considered
Value (USD Billion)
Segments
By Offering, Deployment, Technology and Region
Regions covered
North America, Europe, APAC, RoW
"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.
TABLE OF CONTENTS
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
