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市場調查報告書

商品編碼

1472003

視訊監控中的人工智慧市場規模 - 按組件、部署、最終用戶、用例和預測，2024 年 - 2032 年

AI In Video Surveillance Market Size - By Component, Deployment, End Users, Use Cases & Forecast, 2024 - 2032

出版日期: 2024年02月12日 | 出版商:

Global Market Insights Inc. | 英文 250 Pages | 商品交期: 2-3個工作天內

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簡介目錄

在技術進步和日益增加的安全問題的推動下，視訊監控中的人工智慧市場規模預計從 2024 年到 2032 年將以超過 15.5% 的複合年成長率成長。視訊監控系統在威脅偵測、識別和回應方面提供無與倫比的能力，以增強各部門的安全措施。人工智慧演算法的整合可實現視訊串流的即時分析，進一步實現主動威脅緩解和更快的事件回應時間。

人工智慧演算法還實現了日常監控任務的自動化，例如物件識別、行為分析和異常檢測，以減少人類操作員的工作量並提高營運效率。此外，人工智慧與物聯網和雲端運算等其他新興技術的整合提高了視訊監控系統的功能，促進無縫資料管理、遠端監控和預測分析。例如，2024 年3 月，基於雲端的人工智慧全球解決方案Iveda(R) 推出了IvedaAI 雲端訂閱，這是一項新服務，可有效地為從用戶到專業級別的用例提供尖端的人工智慧視訊服務。

視訊監控產業中的人工智慧根據組件、部署、用例、最終用戶和區域進行分類。

從組件來看，受高效能處理器、專用晶片和邊緣運算設備等硬體技術進步的推動，硬體領域的市場價值預計在 2024 年至 2032 年期間將顯著成長。高解析度視訊來源的即時分析有助於提高威脅偵測和識別的準確性和速度。此外，由於分散處理和減少延遲的需求，對基於邊緣的人工智慧解決方案的需求不斷成長，推動了在視訊監控應用中採用人工智慧硬體設備。

在部署方面，本地視訊監控領域的人工智慧市場在預測期內的複合年成長率將超過 14%。這是因為它們能夠對敏感視訊資料提供增強的控制和安全性，以解決有關資料隱私和遵守監管要求的問題。組織，特別是政府、金融和醫療保健等部門的組織，更喜歡本地部署來維護資料主權並降低與基於雲端的解決方案相關的風險。此部署還透過在本地處理視訊資料來提供更快的回應時間，以實現即時威脅偵測和立即採取行動。

由於多個國家擴大採用智慧城市計劃，歐洲人工智慧視訊監控行業規模預計將從 2024 年到 2032 年以超過 14% 的複合年成長率大幅成長。嚴格監管框架的推出正在促進公共安全和安保領域智慧視訊分析的部署。此外，物聯網設備的激增以及交通、醫療保健和零售等關鍵基礎設施領域對全面安全措施的需求正在推動區域產業的成長。

產業生態系統分析
利潤率分析
技術與創新格局
專利分析
重要新聞和舉措
監管環境
衝擊力
- 成長動力
  - 安全問題日益嚴重
  - 人工智慧和深度學習的進步
  - 成本效益
  - 與物聯網設備整合
  - 不斷成長的監管要求
- 產業陷阱與挑戰
  - 隱私問題
  - 演算法偏差和準確性
成長潛力分析
波特的分析
PESTEL分析

第 4 章：競爭格局

介紹
公司市佔率分析
競爭定位矩陣
戰略展望矩陣

第 5 章：市場估計與預測：按組成部分，2018-2032 年

主要趨勢
硬體
軟體
服務

第 6 章：市場估計與預測：依部署分類，2018-2032 年

主要趨勢
基於雲端
現場

第 7 章：市場估計與預測：按用例，2018-2032

主要趨勢
槍支檢測
入侵偵測
人群監控
交通管理
事件檢測和回應
其他

第 8 章：市場估計與預測：按最終用戶，2018-2032 年

主要趨勢
商業的
住宅
基礎設施
國防和軍事
公共設施
工業的
其他

第 9 章：市場估計與預測：按地區，2018-2032

主要趨勢
北美洲
- 美國
- 加拿大
歐洲
- 英國
- 德國
- 法國
- 義大利
- 西班牙
- 俄羅斯
- 歐洲其他地區
亞太地區
- 中國
- 印度
- 日本
- 韓國
- 澳新銀行
- 亞太地區其他地區
拉丁美洲
- 巴西
- 墨西哥
- 拉丁美洲其他地區
MEA
- 阿拉伯聯合大公國
- 沙烏地阿拉伯
- 南非
- MEA 的其餘部分

第 10 章：公司簡介

Agent Vi
Avigilon (a Motorola Solutions company)
Axis Communications
AxxonSoft
Bosch Security Systems
BriefCam
Dahua Technology
Eagle Eye Networks
FLIR Systems
Genetec
Hanwha Techwin
Hikvision
Honeywell International
IDIS
Johnson Controls
March Networks
Pelco
Qognify
Verkada
VIVOTEK

簡介目錄

Product Code: 8110

AI In Video Surveillance Market size is expected to expand at over 15.5% CAGR from 2024 to 2032, propelled by technological advancements and the increasing security concerns. Video surveillance systems offer unparalleled capabilities in threat detection, identification, and response for enhancing security measures across various sectors. The integration of AI algorithms enables real-time analysis of video streams, further allowing proactive threat mitigation and faster incident response times.

AI algorithms also render the automation of routine surveillance tasks, such as object recognition, behavior analysis, and anomaly detection for reducing the workload on human operators and enhancing operational efficiency. Additionally, the integration of AI with other emerging technologies like IoT and cloud computing offers improved capabilities of video surveillance systems, facilitating seamless data management, remote monitoring, and predictive analytics. For instance, in March 2024, Iveda(R), the global solution for cloud-based AI, launched IvedaAI Cloud Subscription, its new service that efficiently makes cutting-edge AI video services accessible for use cases from users to professional level.

The AI In video surveillance industry is classified on the basis of component, deployment, use cases, end-user and region.

Based on component, the market value from the hardware segment is slated to witness significant growth during 2024-2032, favored by the advancements in hardware technologies, including high-performance processors, specialized chips, and edge computing devices. Real-time analysis of high-resolution video feeds helps improve the accuracy and speed of threat detection and recognition. Additionally, the growing demand for edge-based AI solutions, driven by the need for decentralized processing and reduced latency is pushing the adoption of AI-enabled hardware devices in video surveillance applications.

In terms of deployment, the AI In video surveillance market from the on premise segment is poised to depict over 14% CAGR during the forecast period. This is due to their ability to offer enhanced control and security over sensitive video data for addressing concerns regarding data privacy and compliance with regulatory requirements. Organizations, particularly in sectors, such as government, finance, and healthcare, prefer on-premise deployment to maintain data sovereignty and mitigate risks associated with cloud-based solutions. This deployment also provides faster response times by processing video data locally for enabling real-time threat detection and immediate action.

Europe AI In video surveillance industry size is anticipated to grow at a significant pace at over 14% CAGR from 2024-2032, attributed to the increasing adoption of smart city initiatives across several countries. The rollout of stringent regulatory frameworks is promoting the deployment of intelligent video analytics for public safety and security. Furthermore, the proliferation of IoT devices and the need for comprehensive security measures in critical infrastructure sectors, such as transportation, healthcare, and retail are fueling the regional industry growth.

Chapter 1 Methodology & Scope

1.1 Market scope & definitions
1.2 Base estimates & calculations
1.3 Forecast calculations
1.4 Data sources
- 1.4.1 Primary
- 1.4.2 Secondary
  - 1.4.2.1 Paid sources
  - 1.4.2.2 Public sources

Chapter 2 Executive Summary

2.1 Industry 360 degree synopsis, 2018-2032

Chapter 3 Industry Insights

3.1 Industry ecosystem analysis
3.2 Profit margin analysis
3.3 Technology & innovation landscape
3.4 Patent analysis
3.5 Key news & initiatives
3.6 Regulatory landscape
3.7 Impact forces
- 3.7.1 Growth drivers
  - 3.7.1.1 Rising security concerns
  - 3.7.1.2 Advancements in AI and deep learning
  - 3.7.1.3 Cost efficiency
  - 3.7.1.4 Integration with IoT devices
  - 3.7.1.5 Growing regulatory requirements
- 3.7.2 Industry pitfalls & challenges
  - 3.7.2.1 Privacy concerns
  - 3.7.2.2 Algorithmic bias and accuracy
3.8 Growth potential analysis
3.9 Porter's analysis
- 3.9.1 Supplier power
- 3.9.2 Buyer power
- 3.9.3 Threat of new entrants
- 3.9.4 Threat of substitutes
- 3.9.5 Industry rivalry
3.10 PESTEL analysis

Chapter 4 Competitive Landscape, 2023

4.1 Introduction
4.2 Company market share analysis
4.3 Competitive positioning matrix
4.4 Strategic outlook matrix

Chapter 5 Market Estimates & Forecast, By Component, 2018-2032 (USD Million)

5.1 Key trends
5.2 Hardware
5.3 Software
5.4 Services

Chapter 6 Market Estimates & Forecast, By Deployment, 2018-2032 (USD Million)

6.1 Key trends
6.2 Cloud-based
6.3 On premise

Chapter 7 Market Estimates & Forecast, By Use Cases, 2018-2032 (USD Million)

7.1 Key trends
7.2 Gun detection
7.3 Intrusion detection
7.4 Crowd monitoring
7.5 Traffic management
7.6 Incident detection and response
7.7 Others

Chapter 8 Market Estimates & Forecast, By End User, 2018-2032 (USD Million)

8.1 Key trends
8.2 Commercial
8.3 Residential
8.4 Infrastructure
8.5 Defense and military
8.6 Public facility
8.7 Industrial
8.8 Others

Chapter 9 Market Estimates & Forecast, By Region, 2018-2032 (USD Million)

9.1 Key trends
9.2 North America
- 9.2.1 U.S.
- 9.2.2 Canada
9.3 Europe
- 9.3.1 UK
- 9.3.2 Germany
- 9.3.3 France
- 9.3.4 Italy
- 9.3.5 Spain
- 9.3.6 Russia
- 9.3.7 Rest of Europe
9.4 Asia Pacific
- 9.4.1 China
- 9.4.2 India
- 9.4.3 Japan
- 9.4.4 South Korea
- 9.4.5 ANZ
- 9.4.6 Rest of Asia Pacific
9.5 Latin America
- 9.5.1 Brazil
- 9.5.2 Mexico
- 9.5.3 Rest of Latin America
9.6 MEA
- 9.6.1 UAE
- 9.6.2 Saudi Arabia
- 9.6.3 South Africa
- 9.6.4 Rest of MEA