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市场调查报告书
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1989066

边缘人工智慧市场预测（视讯监控领域）至2034年：按组件、部署类型、企业规模、应用、最终用户和地区分類的全球分析

Edge AI For Video Surveillance Market Forecasts to 2034- Global Analysis By Component (Hardware, Software and Services), Deployment Mode, Enterprise Size, Application, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 | 商品交期: 2-3个工作天内

价格

根据 Stratistics MRC 的数据，全球视讯监控边缘人工智慧市场预计到 2026 年将达到 46.1 亿美元，在预测期内以 17.2% 的复合年增长率成长，到 2034 年将达到 164.3 亿美元。

边缘人工智慧（Edge AI）将人工智慧直接整合到现场摄影机系统和本地设备中，无需依赖云端处理即可即时分析影像资料。这种方法能够即时侦测异常、威胁或特定事件，进而提升安全应对力和营运效率。边缘资料处理可降低延迟、节省频宽并增强隐私保护。边缘人工智慧驱动的监控系统已广泛应用于智慧城市、交通枢纽和关键基础设施，能够优化决策、确保主动威胁管理并支援扩充性的智慧监控解决方案。

日益增长的安全需求

公共和私营部门对增强安全性的需求日益增长，这是推动视讯监控边缘人工智慧市场发展的主要动力。对恐怖主义、网路威胁和犯罪活动的担忧日益加剧，迫使各组织部署能够即时威胁侦测的智慧监控系统。边缘人工智慧能够对视讯资料进行即时、本地化的分析，从而实现主动事件管理、快速响应和更高的营运效率。随着人们对安全和风险规避的日益重视，人工智慧驱动的边缘监控解决方案在全球的普及速度正在加快。

高昂的实施成本

儘管边缘人工智慧在影像监控领域具有诸多优势，但其高昂的部署成本限制了其应用。将人工智慧摄影机与边缘设备整合需要对硬体、软体和培训进行大量投资。此外，升级现有基础设施以支援现场人工智慧处理也需要大量资金。这些财务障碍对中小企业和新兴市场的影响尤其显着，阻碍了其大规模应用。因此，成本问题仍然是边缘人工智慧监控解决方案广泛部署的主要阻碍因素。

降低频宽和延迟

边缘人工智慧透过降低视讯监控系统的频宽占用和延迟，展现出巨大的潜力。透过在摄影机和边缘设备上本地处理数据，最大限度地减少了持续向云端传输数据的需求。这不仅可以缓解网路拥塞，还能加快决策速度并实现即时威胁侦测。交通运输、关键基础设施和智慧城市等行业可以利用这一优势来提高营运效率，使边缘人工智慧成为频宽密集和延迟敏感型监控应用的理想解决方案。

整合的复杂性

市场面临的主要挑战之一是将边缘人工智慧解决方案整合到现有视讯监控基础设施中的复杂性。企业在将旧有系统与现代人工智慧设备结合时可能会遇到技术难题。确保无缝互通性、配置分析演算法以及管理资料隐私都需要专业知识。这种整合复杂性会导致部署时间延长、成本增加和营运中断，使得企业儘管看到了边缘人工智慧解决方案的明显优势，却仍然犹豫不决。

新冠疫情的影响：

新冠疫情加速了边缘人工智慧在影像监控领域的应用，尤其是在医疗保健和公共场所。非接触式监控、社交距离和人员密度管理成为保障安全的关键。支援边缘人工智慧的摄影机无需依赖云端连接即可实现即时分析，从而降低延迟并增强隐私保护。然而，供应链中断和预算限制暂时延缓了大规模部署。后疫情时代，随着各组织将公共和营运韧性置于优先地位，对智慧、自主和可扩展的监控解决方案的需求持续增长。

在预测期内，医疗保健产业预计将占据最大的市场份额。

在预测期内，医疗保健领域预计将占据最大的市场份额，因为医院、诊所和研究机构越来越多地采用边缘人工智慧进行病患监护、资产追踪和设施安全保障。即时影像分析能够立即侦测安全事件、未授权存取或违反卫生标准的行为。此外，人工智慧驱动的监控系统能够确保合规性并提高营运效率。对病人安全的迫切需求，以及对敏感资料隐私保护的要求，使得医疗保健产业成为边缘智慧监控系统的主要应用领域。

预计在预测期内，脸部辨识领域将呈现最高的复合年增长率。

在预测期内，脸部辨识领域预计将呈现最高的成长率。这是因为人工智慧演算法的进步将实现精准、即时的人脸识别，从而提升机场、银行和公共场所的安全性。边缘运算技术能够实现即时警报，并透过减少对云端的依赖来保障资料隐私。对自动化存取控制、诈欺预防和个人化服务日益增长的需求也进一步推动了这一领域的成长。随着各组织寻求更快、更智慧、更安全的监控解决方案，整合边缘人工智慧的人脸部辨识技术正成为市场扩张的重点。

市占率最大的地区：

在预测期内，亚太地区预计将占据最大的市场份额。这主要得益于中国、印度和日本等国的快速都市化、智慧城市计画和基础设施建设，这些因素正在推动边缘人工智慧监控技术的应用。此外，人们对公共、交通安全和工业监控日益增长的需求也促进了这一增长。政府对人工智慧和物联网融合的投资也推动了科技的普及。该地区的大规模基础设施计划和积极的法规结构使其确立了自身作为智慧边缘视讯监控解决方案领先市场的地位。

复合年增长率最高的地区：

在预测期内，亚太地区预计将呈现最高的复合年增长率。这主要归功于人们对安全威胁日益增强的认识，以及人工智慧驱动的智慧解决方案的日益普及，推动了市场的快速扩张。技术进步、边缘设备低成本製造以及政府对人工智慧智慧基础设施的支持，都在加速其部署。医疗保健和关键基础设施等行业正加大对即时智慧监控解决方案的投资。这种充满活力的成长轨迹凸显了亚太地区作为市场创新和部署中心的地位。

免费客製化服务：

所有购买此报告的客户均可享受以下免费自订选项之一：

  • 企业概况
    • 对其他市场参与者（最多 3 家公司）进行全面分析
    • 对主要企业进行SWOT分析（最多3家公司）
  • 区域划分
    • 应客户要求，我们提供主要国家和地区的市场估算和预测，以及复合年增长率（註：需进行可行性检查）。
  • 竞争性标竿分析
    • 根据产品系列、地理覆盖范围和策略联盟对主要企业进行基准分析。

目录

第一章：执行摘要

  • 市场概览及主要亮点
  • 驱动因素、挑战与机会
  • 竞争格局概述
  • 战略洞察与建议

第二章：研究框架

  • 研究目标和范围
  • 相关人员分析
  • 研究假设和限制
  • 调查方法

第三章 市场动态与趋势分析

  • 市场定义与结构
  • 主要市场驱动因素
  • 市场限制与挑战
  • 投资成长机会和重点领域
  • 产业威胁与风险评估
  • 技术与创新展望
  • 新兴市场/高成长市场
  • 监管和政策环境
  • 新冠疫情的影响及復苏前景

第四章：竞争环境与策略评估

  • 波特五力分析
    • 供应商的议价能力
    • 买方的议价能力
    • 替代品的威胁
    • 新进入者的威胁
    • 竞争公司之间的竞争
  • 主要企业市占率分析
  • 产品基准评效和效能比较

第五章：全球视讯监控边缘人工智慧市场：按组件划分

  • 硬体
  • 软体
  • 服务

第六章：全球视讯监控边缘人工智慧市场：依部署模式划分

  • 现场
  • 基于云端的
  • 杂交种

第七章：全球视讯监控边缘人工智慧市场：依企业规模划分

  • 中小企业
  • 大公司

第八章：全球视讯监控边缘人工智慧市场：按应用领域划分

  • 入侵侦测
  • 脸部辨识
  • 目标侦测与追踪
  • 车牌识别（LPR/ANPR）
  • 人群管理和人数统计
  • 行为分析
  • 交通监控
  • 智慧零售分析
  • 工业安全监测

第九章：全球视讯监控边缘人工智慧市场：按最终用户划分

  • 商业的
  • 产业
  • 运输/物流
  • 卫生保健
  • 住宅
  • 智慧城市
  • 其他最终用户

第十章：全球视讯监控边缘人工智慧市场：按地区划分

  • 北美洲
    • 我们
    • 加拿大
    • 墨西哥
  • 欧洲
    • 英国
    • 德国
    • 法国
    • 义大利
    • 西班牙
    • 荷兰
    • 比利时
    • 瑞典
    • 瑞士
    • 波兰
    • 其他欧洲国家
  • 亚太地区
    • 中国
    • 日本
    • 印度
    • 韩国
    • 澳洲
    • 印尼
    • 泰国
    • 马来西亚
    • 新加坡
    • 越南
    • 其他亚太国家
  • 南美洲
    • 巴西
    • 阿根廷
    • 哥伦比亚
    • 智利
    • 秘鲁
    • 其他南美国家
  • 世界其他地区（RoW）
    • 中东
      • 沙乌地阿拉伯
      • 阿拉伯聯合大公国
      • 卡达
      • 以色列
      • 其他中东国家
    • 非洲
      • 南非
      • 埃及
      • 摩洛哥
      • 其他非洲国家

第十一章 策略市场资讯

  • 工业价值网络和供应链评估
  • 空白区域和机会地图
  • 产品演进与市场生命週期分析
  • 通路、经销商和打入市场策略的评估

第十二章 产业趋势与策略倡议

  • 併购
  • 伙伴关係、联盟和合资企业
  • 新产品发布和认证
  • 扩大生产能力和投资
  • 其他策略倡议

第十三章：公司简介

  • Hangzhou Hikvision Digital Technology Co., Ltd.
  • Zhejiang Dahua Technology Co., Ltd.
  • Axis Communications AB
  • Hanwha Vision Co., Ltd.
  • Bosch Security Systems GmbH
  • Motorola Solutions, Inc.
  • Honeywell International Inc.
  • Sony Corporation
  • Mobotix AG
  • Vivotek Inc.
  • Pelco, Inc.
  • Genetec Inc.
  • FLIR Systems, Inc.
  • Verkada Inc.
  • IDIS Co., Ltd.
Product Code: SMRC34355

According to Stratistics MRC, the Global Edge AI For Video Surveillance Market is accounted for $4.61 billion in 2026 and is expected to reach $16.43 billion by 2034 growing at a CAGR of 17.2% during the forecast period. Edge AI for Video Surveillance refers to the integration of artificial intelligence directly within on-site camera systems or local devices, enabling real time analysis of video data without relying on cloud processing. This approach allows instant detection of anomalies, threats, or specific events, enhancing security responsiveness and operational efficiency. By processing data at the edge, it reduces latency, conserves bandwidth, and strengthens privacy. Widely adopted in smart cities, transportation hubs, and critical infrastructure, Edge AI driven surveillance optimizes decision-making, ensures proactive threat management, and supports scalable, intelligent monitoring solutions.

Market Dynamics:

Driver:

Growing Security Needs

The increasing demand for enhanced security across public and private sectors is a major driver for the Edge AI for Video Surveillance market. Rising concerns over terrorism, cyber threats, and criminal activities are pushing organizations to adopt intelligent surveillance systems capable of real-time threat detection. Edge AI enables immediate analysis of video data locally, allowing proactive incident management, faster response times, and improved operational efficiency. This growing focus on safety and risk mitigation fuels the adoption of AI enabled edge surveillance solutions globally.

Restraint:

High Deployment Costs

Despite its advantages, the adoption of Edge AI for Video Surveillance faces limitations due to high deployment costs. Integrating AI enabled cameras and an edge device requires substantial investment in hardware, software, and training. Additionally, upgrading existing infrastructure to support on-site AI processing can be capital intensive. These financial barriers particularly impact small and medium enterprises and emerging markets, slowing large-scale adoption. Consequently, cost concerns remain a key restraint in the widespread deployment of edge AI surveillance solutions.

Opportunity:

Bandwidth & Latency Reduction

Edge AI offers significant opportunities by reducing bandwidth usage and latency in video surveillance systems. By processing data locally on cameras or edge devices, the need for continuous cloud transmission is minimized. This not only decreases network congestion but also ensures faster decision-making and real time threat detection. Industries such as transportation, critical infrastructure, and smart cities can leverage this capability to enhance operational efficiency, making edge AI an attractive solution for bandwidth intensive and latency sensitive surveillance applications.

Threat:

Complexity of Integration

A key threat to the market is the complexity involved in integrating Edge AI solutions with existing video surveillance infrastructure. Organizations may face technical challenges in combining legacy systems with modern AI enabled devices. Ensuring seamless interoperability, configuring analytics algorithms, and managing data privacy require specialized expertise. This integration complexity can lead to prolonged deployment timelines, higher costs, and potential operational disruptions, making organizations cautious in adopting edge AI solutions despite their clear benefits.

Covid-19 Impact:

The COVID-19 pandemic accelerated the adoption of Edge AI for Video Surveillance, particularly in healthcare and public spaces. Contactless monitoring, social distancing compliance, and occupancy management became crucial for safety. Edge AI-enabled cameras allowed real-time analysis without relying on cloud connectivity, reducing latency and enhancing privacy. However, supply chain disruptions and budget constraints temporarily slowed large scale deployment. Post-pandemic, the demand for intelligent, autonomous, and scalable surveillance solutions continues to grow as organizations prioritize public safety and operational resilience.

The healthcare segment is expected to be the largest during the forecast period

The healthcare segment is expected to account for the largest market share during the forecast period, as hospitals, clinics, and research facilities increasingly adopt Edge AI for patient monitoring, asset tracking, and facility security. Real time video analysis allows immediate detection of safety incidents, unauthorized access, or hygiene non-compliance. Additionally, AI-driven monitoring ensures regulatory compliance and enhances operational efficiency. The critical need for patient safety, combined with sensitive data privacy requirements, positions healthcare as a leading adopter of edge based intelligent surveillance systems.

The facial recognition segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the facial recognition segment is predicted to witness the highest growth rate, due to advancements in AI algorithms enable accurate identification of individuals in real time, enhancing security across airports, banking, and public spaces. Edge processing ensures instant alerts while maintaining data privacy by limiting cloud dependency. Increasing demand for automated access control, fraud prevention, and personalized services further drives growth. As organizations seek faster, intelligent, and secure monitoring solutions, facial recognition technology integrated with edge AI becomes a focal point of market expansion.

Region with largest share:

During the forecast period, the Asia Pacific region is expected to hold the largest market share, due to rapid urbanization, smart city initiatives, and infrastructure development in countries like China, India, and Japan drive high adoption of edge AI surveillance. Rising concerns over public safety, transport security, and industrial monitoring further contribute to growth. Additionally, government investments in AI and IoT integration bolster deployment. The region's combination of large scale infrastructure projects and proactive regulatory frameworks positions it as a dominant market for intelligent edge based video surveillance solutions.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR, owing to growing awareness about security threats, coupled with increasing adoption of AI-driven smart solutions, fuels rapid market expansion. Technological advancements, cost effective manufacturing of edge devices and government support for AI-enabled smart infrastructure accelerate deployment. Industries such as healthcare and critical infrastructure are increasingly investing in real time, intelligent monitoring solutions. This dynamic growth trajectory highlights Asia Pacific as a hub for innovation and adoption in the market.

Key players in the market

Some of the key players in Edge AI For Video Surveillance Market include Hangzhou Hikvision Digital Technology Co., Ltd., Zhejiang Dahua Technology Co., Ltd., Axis Communications AB, Hanwha Vision Co., Ltd., Bosch Security Systems GmbH, Motorola Solutions, Inc., Honeywell International Inc., Sony Corporation, Mobotix AG, Vivotek Inc., Pelco, Inc., Genetec Inc., FLIR Systems, Inc., Verkada Inc. and IDIS Co., Ltd.

Key Developments:

In October 2025, Acron Aviation has purchased Honeywell's Thermal Switches product line, taking over manufacturing, global sales, and distribution of these high-reliability temperature-responsive safety components to strengthen its aerospace portfolio and support OEM, military, and civil aircraft needs.

In June 2025, Honeywell expanded its existing licensing pact with AFG Combustion and Greens Combustion to include Callidus flares, broadening hydrogen-friendly, low-carbon combustion tech and boosting global support to help industries cut emissions and accelerate the energy transition.

Components Covered:

  • Hardware
  • Software
  • Services

Deployment Modes Covered:

  • On-Premises
  • Cloud-Based
  • Hybrid

Enterprise Sizes Covered:

  • Small & Medium Enterprises (SMEs)
  • Large Enterprises

Applications Covered:

  • Intrusion Detection
  • Facial Recognition
  • Object Detection & Tracking
  • License Plate Recognition (LPR/ANPR)
  • Crowd Management & People Counting
  • Behavior Analysis
  • Traffic Monitoring
  • Smart Retail Analytics
  • Industrial Safety Monitoring

End Users Covered:

  • Commercial
  • Industrial
  • Transportation & Logistics
  • Healthcare
  • Residential
  • Smart Cities
  • Other End Users

Regions Covered:

  • North America
    • United States
    • Canada
    • Mexico
  • Europe
    • United Kingdom
    • Germany
    • France
    • Italy
    • Spain
    • Netherlands
    • Belgium
    • Sweden
    • Switzerland
    • Poland
    • Rest of Europe
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Australia
    • Indonesia
    • Thailand
    • Malaysia
    • Singapore
    • Vietnam
    • Rest of Asia Pacific
  • South America
    • Brazil
    • Argentina
    • Colombia
    • Chile
    • Peru
    • Rest of South America
  • Rest of the World (RoW)
    • Middle East
  • Saudi Arabia
  • United Arab Emirates
  • Qatar
  • Israel
  • Rest of Middle East
    • Africa
  • South Africa
  • Egypt
  • Morocco
  • Rest of Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2023, 2024, 2025, 2026, 2027, 2028, 2030, 2032 and 2034
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

  • 1.1 Market Snapshot and Key Highlights
  • 1.2 Growth Drivers, Challenges, and Opportunities
  • 1.3 Competitive Landscape Overview
  • 1.4 Strategic Insights and Recommendations

2 Research Framework

  • 2.1 Study Objectives and Scope
  • 2.2 Stakeholder Analysis
  • 2.3 Research Assumptions and Limitations
  • 2.4 Research Methodology
    • 2.4.1 Data Collection (Primary and Secondary)
    • 2.4.2 Data Modeling and Estimation Techniques
    • 2.4.3 Data Validation and Triangulation
    • 2.4.4 Analytical and Forecasting Approach

3 Market Dynamics and Trend Analysis

  • 3.1 Market Definition and Structure
  • 3.2 Key Market Drivers
  • 3.3 Market Restraints and Challenges
  • 3.4 Growth Opportunities and Investment Hotspots
  • 3.5 Industry Threats and Risk Assessment
  • 3.6 Technology and Innovation Landscape
  • 3.7 Emerging and High-Growth Markets
  • 3.8 Regulatory and Policy Environment
  • 3.9 Impact of COVID-19 and Recovery Outlook

4 Competitive and Strategic Assessment

  • 4.1 Porter's Five Forces Analysis
    • 4.1.1 Supplier Bargaining Power
    • 4.1.2 Buyer Bargaining Power
    • 4.1.3 Threat of Substitutes
    • 4.1.4 Threat of New Entrants
    • 4.1.5 Competitive Rivalry
  • 4.2 Market Share Analysis of Key Players
  • 4.3 Product Benchmarking and Performance Comparison

5 Global Edge AI For Video Surveillance Market, By Component

  • 5.1 Hardware
  • 5.2 Software
  • 5.3 Services

6 Global Edge AI For Video Surveillance Market, By Deployment Mode

  • 6.1 On-Premises
  • 6.2 Cloud-Based
  • 6.3 Hybrid

7 Global Edge AI For Video Surveillance Market, By Enterprise Size

  • 7.1 Small & Medium Enterprises (SMEs)
  • 7.2 Large Enterprises

8 Global Edge AI For Video Surveillance Market, By Application

  • 8.1 Intrusion Detection
  • 8.2 Facial Recognition
  • 8.3 Object Detection & Tracking
  • 8.4 License Plate Recognition (LPR/ANPR)
  • 8.5 Crowd Management & People Counting
  • 8.6 Behavior Analysis
  • 8.7 Traffic Monitoring
  • 8.8 Smart Retail Analytics
  • 8.9 Industrial Safety Monitoring

9 Global Edge AI For Video Surveillance Market, By End User

  • 9.1 Commercial
  • 9.2 Industrial
  • 9.3 Transportation & Logistics
  • 9.4 Healthcare
  • 9.5 Residential
  • 9.6 Smart Cities
  • 9.7 Other End Users

10 Global Edge AI For Video Surveillance Market, By Geography

  • 10.1 North America
    • 10.1.1 United States
    • 10.1.2 Canada
    • 10.1.3 Mexico
  • 10.2 Europe
    • 10.2.1 United Kingdom
    • 10.2.2 Germany
    • 10.2.3 France
    • 10.2.4 Italy
    • 10.2.5 Spain
    • 10.2.6 Netherlands
    • 10.2.7 Belgium
    • 10.2.8 Sweden
    • 10.2.9 Switzerland
    • 10.2.10 Poland
    • 10.2.11 Rest of Europe
  • 10.3 Asia Pacific
    • 10.3.1 China
    • 10.3.2 Japan
    • 10.3.3 India
    • 10.3.4 South Korea
    • 10.3.5 Australia
    • 10.3.6 Indonesia
    • 10.3.7 Thailand
    • 10.3.8 Malaysia
    • 10.3.9 Singapore
    • 10.3.10 Vietnam
    • 10.3.11 Rest of Asia Pacific
  • 10.4 South America
    • 10.4.1 Brazil
    • 10.4.2 Argentina
    • 10.4.3 Colombia
    • 10.4.4 Chile
    • 10.4.5 Peru
    • 10.4.6 Rest of South America
  • 10.5 Rest of the World (RoW)
    • 10.5.1 Middle East
      • 10.5.1.1 Saudi Arabia
      • 10.5.1.2 United Arab Emirates
      • 10.5.1.3 Qatar
      • 10.5.1.4 Israel
      • 10.5.1.5 Rest of Middle East
    • 10.5.2 Africa
      • 10.5.2.1 South Africa
      • 10.5.2.2 Egypt
      • 10.5.2.3 Morocco
      • 10.5.2.4 Rest of Africa

11 Strategic Market Intelligence

  • 11.1 Industry Value Network and Supply Chain Assessment
  • 11.2 White-Space and Opportunity Mapping
  • 11.3 Product Evolution and Market Life Cycle Analysis
  • 11.4 Channel, Distributor, and Go-to-Market Assessment

12 Industry Developments and Strategic Initiatives

  • 12.1 Mergers and Acquisitions
  • 12.2 Partnerships, Alliances, and Joint Ventures
  • 12.3 New Product Launches and Certifications
  • 12.4 Capacity Expansion and Investments
  • 12.5 Other Strategic Initiatives

13 Company Profiles

  • 13.1 Hangzhou Hikvision Digital Technology Co., Ltd.
  • 13.2 Zhejiang Dahua Technology Co., Ltd.
  • 13.3 Axis Communications AB
  • 13.4 Hanwha Vision Co., Ltd.
  • 13.5 Bosch Security Systems GmbH
  • 13.6 Motorola Solutions, Inc.
  • 13.7 Honeywell International Inc.
  • 13.8 Sony Corporation
  • 13.9 Mobotix AG
  • 13.10 Vivotek Inc.
  • 13.11 Pelco, Inc.
  • 13.12 Genetec Inc.
  • 13.13 FLIR Systems, Inc.
  • 13.14 Verkada Inc.
  • 13.15 IDIS Co., Ltd.

List of Tables

  • Table 1 Global Edge AI For Video Surveillance Market Outlook, By Region (2023-2034) ($MN)
  • Table 2 Global Edge AI For Video Surveillance Market Outlook, By Component (2023-2034) ($MN)
  • Table 3 Global Edge AI For Video Surveillance Market Outlook, By Hardware (2023-2034) ($MN)
  • Table 4 Global Edge AI For Video Surveillance Market Outlook, By Software (2023-2034) ($MN)
  • Table 5 Global Edge AI For Video Surveillance Market Outlook, By Services (2023-2034) ($MN)
  • Table 6 Global Edge AI For Video Surveillance Market Outlook, By Deployment Mode (2023-2034) ($MN)
  • Table 7 Global Edge AI For Video Surveillance Market Outlook, By On-Premises (2023-2034) ($MN)
  • Table 8 Global Edge AI For Video Surveillance Market Outlook, By Cloud-Based (2023-2034) ($MN)
  • Table 9 Global Edge AI For Video Surveillance Market Outlook, By Hybrid (2023-2034) ($MN)
  • Table 10 Global Edge AI For Video Surveillance Market Outlook, By Enterprise Size (2023-2034) ($MN)
  • Table 11 Global Edge AI For Video Surveillance Market Outlook, By Small & Medium Enterprises (SMEs) (2023-2034) ($MN)
  • Table 12 Global Edge AI For Video Surveillance Market Outlook, By Large Enterprises (2023-2034) ($MN)
  • Table 13 Global Edge AI For Video Surveillance Market Outlook, By Application (2023-2034) ($MN)
  • Table 14 Global Edge AI For Video Surveillance Market Outlook, By Intrusion Detection (2023-2034) ($MN)
  • Table 15 Global Edge AI For Video Surveillance Market Outlook, By Facial Recognition (2023-2034) ($MN)
  • Table 16 Global Edge AI For Video Surveillance Market Outlook, By Object Detection & Tracking (2023-2034) ($MN)
  • Table 17 Global Edge AI For Video Surveillance Market Outlook, By License Plate Recognition (LPR/ANPR) (2023-2034) ($MN)
  • Table 18 Global Edge AI For Video Surveillance Market Outlook, By Crowd Management & People Counting (2023-2034) ($MN)
  • Table 19 Global Edge AI For Video Surveillance Market Outlook, By Behavior Analysis (2023-2034) ($MN)
  • Table 20 Global Edge AI For Video Surveillance Market Outlook, By Traffic Monitoring (2023-2034) ($MN)
  • Table 21 Global Edge AI For Video Surveillance Market Outlook, By Smart Retail Analytics (2023-2034) ($MN)
  • Table 22 Global Edge AI For Video Surveillance Market Outlook, By Industrial Safety Monitoring (2023-2034) ($MN)
  • Table 23 Global Edge AI For Video Surveillance Market Outlook, By End User (2023-2034) ($MN)
  • Table 24 Global Edge AI For Video Surveillance Market Outlook, By Commercial (2023-2034) ($MN)
  • Table 25 Global Edge AI For Video Surveillance Market Outlook, By Industrial (2023-2034) ($MN)
  • Table 26 Global Edge AI For Video Surveillance Market Outlook, By Transportation & Logistics (2023-2034) ($MN)
  • Table 27 Global Edge AI For Video Surveillance Market Outlook, By Healthcare (2023-2034) ($MN)
  • Table 28 Global Edge AI For Video Surveillance Market Outlook, By Residential (2023-2034) ($MN)
  • Table 29 Global Edge AI For Video Surveillance Market Outlook, By Smart Cities (2023-2034) ($MN)
  • Table 30 Global Edge AI For Video Surveillance Market Outlook, By Other End Users (2023-2034) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Rest of the World (RoW) are also represented in the same manner as above.