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1989066

邊緣人工智慧市場預測（視訊監控領域）至2034年：按組件、部署類型、企業規模、應用、最終用戶和地區分類的全球分析

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個工作天內

價格

根據 Stratistics MRC 的數據，全球視訊監控邊緣人工智慧市場預計到 2026 年將達到 46.1 億美元，在預測期內以 17.2% 的複合年成長率成長，到 2034 年將達到 164.3 億美元。

邊緣人工智慧（Edge AI）將人工智慧直接整合到現場攝影機系統和本地設備中，無需依賴雲端處理即可即時分析影像資料。這種方法能夠即時偵測異常、威脅或特定事件，進而提升安全應對力和營運效率。邊緣資料處理可降低延遲、節省頻寬並增強隱私保護。邊緣人工智慧驅動的監控系統已廣泛應用於智慧城市、交通樞紐和關鍵基礎設施，能夠最佳化決策、確保主動威脅管理並支援擴充性的智慧監控解決方案。

日益成長的安全需求

公共和私營部門對增強安全性的需求日益成長，這是推動視訊監控邊緣人工智慧市場發展的主要動力。對恐怖主義、網路威脅和犯罪活動的擔憂日益加劇，迫使各組織部署能夠即時威脅偵測的智慧監控系統。邊緣人工智慧能夠對視訊資料進行即時、本地化的分析，從而實現主動事件管理、快速響應和更高的營運效率。隨著人們對安全和風險規避的日益重視，人工智慧驅動的邊緣監控解決方案在全球的普及速度正在加快。

高昂的實施成本

儘管邊緣人工智慧在影像監控領域具有諸多優勢，但其高昂的部署成本限制了其應用。將人工智慧攝影機與邊緣設備整合需要對硬體、軟體和培訓進行大量投資。此外，升級現有基礎設施以支援現場人工智慧處理也需要大量資金。這些財務障礙對中小企業和新興市場的影響尤其顯著，阻礙了其大規模應用。因此，成本問題仍然是邊緣人工智慧監控解決方案廣泛部署的主要阻礙因素。

降低頻寬和延遲

邊緣人工智慧透過降低視訊監控系統的頻寬佔用和延遲，展現出巨大的潛力。透過在攝影機和邊緣設備上本地處理數據，最大限度地減少了持續向雲端傳輸數據的需求。這不僅可以緩解網路擁塞，還能加快決策速度並實現即時威脅偵測。交通運輸、關鍵基礎設施和智慧城市等行業可以利用這一優勢來提高營運效率，使邊緣人工智慧成為頻寬密集和延遲敏感型監控應用的理想解決方案。

整合的複雜性

市場面臨的主要挑戰之一是將邊緣人工智慧解決方案整合到現有視訊監控基礎設施中的複雜性。企業在將舊有系統與現代人工智慧設備結合時可能會遇到技術難題。確保無縫互通性、配置分析演算法以及管理資料隱私都需要專業知識。這種整合複雜性會導致部署時間延長、成本增加和營運中斷，使得企業儘管看到了邊緣人工智慧解決方案的明顯優勢，卻仍然猶豫不決。

新冠疫情的影響：

新冠疫情加速了邊緣人工智慧在影像監控領域的應用，尤其是在醫療保健和公共場所。非接觸式監控、社交距離和人員密度管理成為保障安全的關鍵。支援邊緣人工智慧的攝影機無需依賴雲端連接即可實現即時分析，從而降低延遲並增強隱私保護。然而，供應鏈中斷和預算限制暫時延緩了大規模部署。後疫情時代，隨著各組織將公共和營運韌性置於優先地位，對智慧、自主和可擴展的監控解決方案的需求持續成長。

在預測期內，醫療保健產業預計將佔據最大的市場佔有率。

在預測期內，醫療保健領域預計將佔據最大的市場佔有率，因為醫院、診所和研究機構擴大採用邊緣人工智慧進行病患監護、資產追蹤和設施安全保障。即時影像分析能夠立即偵測安全事件、未授權存取或違反衛生標準的行為。此外，人工智慧驅動的監控系統能夠確保合規性並提高營運效率。對病人安全的迫切需求，以及對敏感資料隱私保護的要求，使得醫療保健產業成為邊緣智慧監控系統的主要應用領域。

預計在預測期內，臉部辨識領域將呈現最高的複合年成長率。

在預測期內，臉部辨識領域預計將呈現最高的成長率。這是因為人工智慧演算法的進步將實現精準、即時的人臉識別，從而提升機場、銀行和公共場所的安全性。邊緣運算技術能夠實現即時警報，並透過減少對雲端的依賴來保障資料隱私。對自動化存取控制、詐欺預防和個人化服務日益成長的需求也進一步推動了這一領域的成長。隨著各組織尋求更快、更智慧、更安全的監控解決方案，整合邊緣人工智慧的人臉部辨識技術正成為市場擴張的重點。

市佔率最大的地區：

在預測期內，亞太地區預計將佔據最大的市場佔有率。這主要得益於中國、印度和日本等國的快速都市化、智慧城市計畫和基礎設施建設，這些因素正在推動邊緣人工智慧監控技術的應用。此外，人們對公共、交通安全和工業監控日益成長的需求也促進了這一成長。政府對人工智慧和物聯網融合的投資也推動了科技的普及。該地區的大規模基礎設施計劃和積極的法規結構使其確立了自身作為智慧邊緣視訊監控解決方案領先市場的地位。

複合年成長率最高的地區：

在預測期內，亞太地區預計將呈現最高的複合年成長率。這主要歸功於人們對安全威脅日益增強的認知，以及人工智慧驅動的智慧解決方案的日益普及，推動了市場的快速擴張。技術進步、邊緣設備低成本製造以及政府對人工智慧智慧基礎設施的支持，都在加速其部署。醫療保健和關鍵基礎設施等行業正加大對即時智慧監控解決方案的投資。這種充滿活力的成長軌跡凸顯了亞太地區作為市場創新和部署中心的地位。

免費客製化服務：

所有購買此報告的客戶均可享受以下免費自訂選項之一：

  • 企業概況
    • 對其他市場參與者（最多 3 家公司）進行全面分析
    • 對主要企業進行SWOT分析（最多3家公司）
  • 區域分類
    • 應客戶要求，我們提供主要國家和地區的市場估算和預測，以及複合年成長率（註：需進行可行性檢查）。
  • 競爭性標竿分析
    • 根據產品系列、地理覆蓋範圍和策略聯盟對主要企業進行基準分析。

目錄

第1章：執行摘要

  • 市場概覽及主要亮點
  • 促進因素、挑戰與機遇
  • 競爭格局概述
  • 戰略洞察與建議

第2章：研究框架

  • 研究目標和範圍
  • 相關人員分析
  • 研究假設和限制
  • 調查方法

第3章 市場動態與趨勢分析

  • 市場定義與結構
  • 主要市場促進因素
  • 市場限制與挑戰
  • 投資成長機會和重點領域
  • 產業威脅與風險評估
  • 技術與創新展望
  • 新興市場/高成長市場
  • 監管和政策環境
  • 新冠疫情的影響及復甦前景

第4章：競爭環境與策略評估

  • 波特五力分析
    • 供應商的議價能力
    • 買方的議價能力
    • 替代品的威脅
    • 新進入者的威脅
    • 競爭公司之間的競爭
  • 主要企業市佔率分析
  • 產品基準評效和效能比較

第5章：全球視訊監控邊緣人工智慧市場：按組件分類

  • 硬體
  • 軟體
  • 服務

第6章：全球視訊監控邊緣人工智慧市場：依部署模式分類

  • 現場
  • 基於雲端的
  • 混合

第7章：全球視訊監控邊緣人工智慧市場：依企業規模分類

  • 中小企業
  • 主要企業

第8章：全球視訊監控邊緣人工智慧市場：按應用領域分類

  • 入侵偵測
  • 臉部辨識
  • 目標偵測與追蹤
  • 車牌識別（LPR/ANPR）
  • 人群管理和人數統計
  • 行為分析
  • 交通監控
  • 智慧零售分析
  • 工業安全監測

第9章：全球視訊監控邊緣人工智慧市場：按最終用戶分類

  • 商業的
  • 產業
  • 運輸/物流
  • 衛生保健
  • 住宅
  • 智慧城市
  • 其他最終用戶

第10章：全球視訊監控邊緣人工智慧市場：按地區分類

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 英國
    • 德國
    • 法國
    • 義大利
    • 西班牙
    • 荷蘭
    • 比利時
    • 瑞典
    • 瑞士
    • 波蘭
    • 其他歐洲國家
  • 亞太地區
    • 中國
    • 日本
    • 印度
    • 韓國
    • 澳洲
    • 印尼
    • 泰國
    • 馬來西亞
    • 新加坡
    • 越南
    • 其他亞太國家
  • 南美洲
    • 巴西
    • 阿根廷
    • 哥倫比亞
    • 智利
    • 秘魯
    • 其他南美國家
  • 世界其他地區（RoW）
    • 中東
      • 沙烏地阿拉伯
      • 阿拉伯聯合大公國
      • 卡達
      • 以色列
      • 其他中東國家
    • 非洲
      • 南非
      • 埃及
      • 摩洛哥
      • 其他非洲國家

第11章 策略市場資訊

  • 工業價值網路和供應鏈評估
  • 空白區域和機會地圖
  • 產品演進與市場生命週期分析
  • 通路、經銷商和打入市場策略的評估

第12章 產業趨勢與策略舉措

  • 併購
  • 夥伴關係、聯盟和合資企業
  • 新產品發布和認證
  • 擴大生產能力和投資
  • 其他策略舉措

第13章：公司簡介

  • 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.