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市场调查报告书

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1472003

视讯监控中的人工智慧市场规模 - 按组件、部署、最终用户、用例和预测，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个工作天内

价格

简介目录

在技术进步和日益增加的安全问题的推动下，视讯监控中的人工智慧市场规模预计从 2024 年到 2032 年将以超过 15.5% 的复合年增长率增长。视讯监控系统在威胁侦测、识别和回应方面提供无与伦比的能力，以增强各部门的安全措施。人工智慧演算法的整合可实现视讯串流的即时分析，进一步实现主动威胁缓解和更快的事件回应时间。

人工智慧演算法还实现了日常监控任务的自动化，例如物件识别、行为分析和异常检测，以减少人类操作员的工作量并提高营运效率。此外，人工智慧与物联网和云端运算等其他新兴技术的整合提高了视讯监控系统的功能，促进无缝资料管理、远端监控和预测分析。例如，2024 年3 月，基于云端的人工智慧全球解决方案Iveda(R) 推出了IvedaAI 云端订阅，这是一项新服务，可有效地为从用户到专业级别的用例提供尖端的人工智慧视讯服务。

视讯监控产业中的人工智慧根据组件、部署、用例、最终用户和区域进行分类。

从组件来看，受高效能处理器、专用晶片和边缘运算设备等硬体技术进步的推动，硬体领域的市场价值预计在 2024 年至 2032 年期间将显着成长。高解析度视讯来源的即时分析有助于提高威胁侦测和识别的准确性和速度。此外，由于分散处理和减少延迟的需求，对基于边缘的人工智慧解决方案的需求不断增长，推动了在视讯监控应用中采用人工智慧硬体设备。

在部署方面，本地视讯监控领域的人工智慧市场在预测期内的复合年增长率将超过 14%。这是因为它们能够对敏感视讯资料提供增强的控制和安全性，以解决有关资料隐私和遵守监管要求的问题。组织，特别是政府、金融和医疗保健等部门的组织，更喜欢本地部署来维护资料主权并降低与基于云端的解决方案相关的风险。此部署还透过在本地处理视讯资料来提供更快的回应时间，以实现即时威胁侦测和立即采取行动。

由于多个国家越来越多地采用智慧城市计划，欧洲人工智慧视讯监控行业规模预计将从 2024 年到 2032 年以超过 14% 的复合年增长率大幅增长。严格监管框架的推出正在促进公共安全和安保领域智慧视讯分析的部署。此外，物联网设备的激增以及交通、医疗保健和零售等关键基础设施领域对全面安全措施的需求正在推动区域产业的成长。

产业生态系统分析
利润率分析
技术与创新格局
专利分析
重要新闻和倡议
监管环境
衝击力
- 成长动力
  - 安全问题日益严重
  - 人工智慧和深度学习的进步
  - 成本效益
  - 与物联网设备集成
  - 不断增长的监管要求
- 产业陷阱与挑战
  - 隐私问题
  - 演算法偏差和准确性
成长潜力分析
波特的分析
PESTEL分析

第 4 章：竞争格局

介绍
公司市占率分析
竞争定位矩阵
战略展望矩阵

第 5 章：市场估计与预测：按组成部分，2018-2032 年

主要趋势
硬体
软体
服务

第 6 章：市场估计与预测：依部署划分，2018-2032 年

主要趋势
基于云端
现场

第 7 章：市场估计与预测：按用例，2018-2032

主要趋势
枪支检测
入侵侦测
人群监控
交通管理
事件检测和回应
其他的

第 8 章：市场估计与预测：按最终用户，2018-2032 年

主要趋势
商业的
住宅
基础设施
国防和军事
公共设施
工业的
其他的

第 9 章：市场估计与预测：按地区，2018-2032

主要趋势
北美洲
- 我们
- 加拿大
欧洲
- 英国
- 德国
- 法国
- 义大利
- 西班牙
- 俄罗斯
- 欧洲其他地区
亚太地区
- 中国
- 印度
- 日本
- 韩国
- 澳新银行
- 亚太地区其他地区
拉丁美洲
- 巴西
- 墨西哥
- 拉丁美洲其他地区
MEA
- 阿联酋
- 沙乌地阿拉伯
- 南非
- MEA 的其余部分

第 10 章：公司简介

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

简介目录

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