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2035500

人工智慧安全監控系統市場預測至2034年：按組件、安全特性、部署模式、最終用戶和地區分類的全球分析

AI-Powered Safety Monitoring Systems Market Forecasts to 2034 - Global Analysis By Component (Hardware, Software and Services), Safety, Deployment Mode, 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，全球人工智慧驅動的安全監控系統市場預計將在 2026 年達到 186 億美元，並在預測期內以 14.6% 的複合年成長率成長，到 2034 年達到 554 億美元。

人工智慧安全監控系統是指整合了硬體感測器網路、電腦視覺軟體平台、機器學習分析引擎和雲端監控服務的系統，它持續分析影像資料、環境感測器資料和門禁訊息，與傳統的人工安防監控方法相比，能夠更快地自動產生警報並回應事件。該系統適用於製造工廠、公共基礎設施、商業建築和關鍵工業設施等場所。它能夠即時自動偵測職場安全違規行為、公共安全威脅、工業危險、火災和煙霧爆發以及未授權存取事件。

執行職場安全法規

美國職業安全與健康管理局 (OSHA)、歐盟職場安全指令以及各國職業健康法規的強化執法要求，強制企業主動識別危險並實施有據可查的安全管理系統。這迫使工業企業投資人工智慧安全監控系統。這些系統能夠提供持續的自動化合規文件記錄、險情檢測和即時安全違規警報——在複雜、多區域、跨多個工作班次持續運作的工業設施中，人工監控無法始終如一地提供這些功能。

隱私法規合規的複雜性日益增加

GDPR、CCPA 以及不斷擴展的全球生物識別資料保護條例對人工智慧安全監控系統的部署提出了嚴格的要求，包括員工同意、資料最小化和監控目的限制。這導致合規成本增加和營運設計受限，限制了人工智慧安全系統的感測器密度和分析能力，使其只能滿足隱私保護要求。因此，在某些司法管轄區，與技術上最優但會損害隱私的架構相比，監控效果可能會降低。

建築工地安全自動化

建築工地安全監控蘊藏著巨大的應用價值。在複雜多變的建築環境中，人工智慧影像分析系統能夠偵測個人防護設備（PPE）違規使用、擅自闖入限制區域、接近重型機械的危險以及墜落風險，從而有效應對工傷率最高的行業。在這個產業中，人工安全監管難以有效涵蓋範圍積廣闊、區域眾多、危險因子不斷變化且需要追蹤工人位置的工地。

對人工智慧偏見和誤報可靠性的擔憂

人工智慧安全監控系統的誤報和警報會導致安全負責人出現“安全警報疲勞”，而未能檢測到訓練資料集中未包含的新危險場景則會引發問責制和運行可靠性問題。這會削弱安全關鍵產業業者對採用此類系統的信心，因為因漏報危險而導致的系統故障可能造成嚴重的人身傷害、法律責任和聲譽損失，其危害遠大於自動化監控方法帶來的運作效率提升。

新冠疫情的影響：

新冠肺炎疫情期間，職場安全規程的實施要求，包括保持社交距離、檢測口罩佩戴情況和體溫篩檢等，促使製造業、零售業、醫療保健業和辦公環境等各行各業即時部署大規模人工智慧安全監控系統。這為人工智慧安全系統基礎設施的建構奠定了基礎，並將在後疫情時代擴展到更廣泛的安全監控應用領域。後疫情時代對工業安全投入的增加以及整合安全監控系統的智慧工廠自動化項目，正在推動人工智慧安全市場的強勁成長。

在預測期內，服務業預計將佔據最大佔有率。

預計在預測期內，服務領域將佔據最大的市場佔有率。這是因為企業擴大透過託管服務合約使用人工智慧安全監控，這些合約提供系統安裝、配置、維護、警報回應管理和合規文件服務——對於那些缺乏內部人工智慧安全監控專業知識或全天候監控營運能力的企業而言，這些服務至關重要，因為它們能夠幫助企業在可接受的總成本和營運管理參數範圍內，有效地部署和營運複雜的多站點人工智慧安全監控系統。

在預測期內，職場安全監控領域預計將呈現最高的複合年成長率。

在預測期內，職場安全監控領域預計將呈現最高的成長率，這得益於監管力度的加大、對有記錄的安全經營團隊投資的保費激勵措施的擴大，以及透過人工智慧監控計畫減少職場事故成本和工傷賠償責任的記錄，這些都將產生可衡量的投資回報率 (ROI) 證據，從而維持管理層對安全技術投資的承諾。

市佔率最大的地區：

在預測期內，北美預計將佔據最大的市場佔有率。這主要歸功於美國嚴格執行職業安全與健康管理局 (OSHA) 的安全管理要求，從而激勵企業投資安全監控；Honeywell、江森自控和英偉達等領先的人工智慧安全監控供應商在國內創造了可觀的收入；以及製造業和物流業對超越監管最低標準的優質人工智慧監控系統的日益普及，而這又得益於企業對強大安全文化的人工智慧。

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。這主要歸功於中國、日本、韓國和印度全面實施的智慧製造安全系統方案；工業事故減少政策的快速推進，加速了系統化人工智慧安全系統的採購；以及得益於中國國內人工智慧監控技術能力，價格具有競爭力的人工智慧安全監控系統在快速發展的製造業和建築業得到廣泛部署。

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
    • 對主要公司進行SWOT分析（最多3家公司）
  • 區域細分
    • 應客戶要求，我們提供主要國家的市場估算和預測，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領先公司進行基準分析。

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
  • 主要公司市佔率分析
  • 產品基準評效和效能比較

第5章 全球人工智慧安全監控系統市場：按組件分類

  • 硬體
    • 相機和成像設備
    • 感測器和檢測器
    • 邊緣運算設備
  • 軟體
    • 人工智慧視訊分析
    • 臉部辨識系統
    • 行為分析平台
  • 服務
    • 整合與部署
    • 維護和支援
    • 諮詢服務

第6章 全球人工智慧安全監控系統市場：依安全類別分類

  • 職場安全監控
  • 公共安全與監控
  • 工業危害檢測
  • 火災和煙霧偵測
  • 存取控制和安全

第7章 全球人工智慧安全監控系統市場：依部署模式分類

  • 基於雲端的
  • 現場
  • 混合

第8章 全球人工智慧安全監控系統市場：按最終用戶分類

  • 製造業
  • 建造
  • 衛生保健
  • 運輸/物流
  • 政府和智慧城市

第9章 全球人工智慧安全監控系統市場：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10章 戰略市場資訊

  • 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11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12章：公司簡介

  • Honeywell International Inc.
  • Johnson Controls International plc
  • Bosch Security Systems
  • Hikvision Digital Technology Co. Ltd.
  • Dahua Technology Co. Ltd.
  • Axis Communications AB
  • Siemens AG
  • Schneider Electric SE
  • FLIR Systems Inc.（Teledyne）
  • IBM Corporation
  • Microsoft Corporation
  • Oracle Corporation
  • Amazon Web Services Inc.
  • NVIDIA Corporation
  • Intel Corporation
  • Zebra Technologies Corp.
  • Pelco Inc.
Product Code: SMRC35611

According to Stratistics MRC, the Global AI-Powered Safety Monitoring Systems Market is accounted for $18.6 billion in 2026 and is expected to reach $55.4 billion by 2034 growing at a CAGR of 14.6% during the forecast period. AI-powered safety monitoring systems refer to integrated hardware sensor networks, computer vision software platforms, machine learning analytics engines, and cloud-based monitoring services that continuously analyze video feeds, environmental sensor data, and access control information to automatically detect workplace safety violations, public security threats, industrial hazard conditions, fire and smoke events, and unauthorized access incidents in real-time, enabling faster automated alert generation and incident response compared to conventional manual security and safety monitoring approaches across manufacturing facilities, public infrastructure, commercial buildings, and critical industrial operations.

Market Dynamics:

Driver:

Workplace Safety Regulatory Enforcement

Expanding OSHA, EU Workplace Safety Directive, and national occupational health regulation enforcement requirements mandating proactive hazard identification and documented safety management system implementation are compelling industrial operators to invest in AI safety monitoring systems providing continuous automated compliance documentation, near-miss incident detection, and real-time safety violation alerts that manual supervision cannot consistently provide across complex multi-zone industrial facilities operating continuously across multiple work shifts.

Restraint:

Privacy Regulation Compliance Complexity

GDPR, CCPA, and expanding global biometric data protection regulations creating strict requirements for worker consent, data minimization, and surveillance purpose limitation in AI safety monitoring deployments create compliance cost burdens and operational design constraints that limit the sensor coverage density and analytical capability of AI safety systems to privacy-compliant configurations that may reduce monitoring effectiveness compared to technically optimal but privacy-violating architectures in certain jurisdictional contexts.

Opportunity:

Construction Site Safety Automation

Construction site safety monitoring represents a high-value deployment opportunity as AI video analytics systems detecting PPE compliance violations, unauthorized zone access, heavy equipment proximity hazards, and fall risk conditions in complex dynamic construction environments address the highest injury rate industrial sector where manual safety supervision cannot achieve adequate coverage across large multi-zone sites with continuously changing hazard configurations and worker position tracking requirements.

Threat:

AI Bias and False Alert Reliability Concerns

AI safety monitoring system false positive alert generation creating security alert fatigue among safety personnel and false negative detection failures in novel hazard scenarios not represented in training datasets generate liability and operational trust concerns that constrain deployment confidence among safety-critical industrial operators where missed hazard detection system failures could result in serious injury, legal liability, and reputational damage that exceeds the operational efficiency benefits of automated monitoring approaches.

Covid-19 Impact:

COVID-19 workplace safety protocol enforcement requirements for social distancing compliance monitoring, mask detection, and temperature screening created immediate large-scale AI safety monitoring deployment programs across manufacturing, retail, healthcare, and office environments that established AI safety system infrastructure foundations extending to broader safety monitoring applications post-pandemic. Post-pandemic industrial safety investment elevation and smart factory automation programs incorporating integrated safety monitoring systems sustain strong AI safety market growth.

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

The services segment is expected to account for the largest market share during the forecast period, due to dominant enterprise consumption of AI safety monitoring through managed service contracts providing system installation, configuration, maintenance, alert response management, and compliance documentation services that organizations lacking internal AI safety expertise and 24/7 monitoring operational capacity require to effectively deploy and operate complex multi-site AI safety monitoring systems within acceptable total cost and operational management parameters.

The workplace safety monitoring segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the workplace safety monitoring segment is predicted to witness the highest growth rate, driven by accelerating manufacturing, construction, and logistics sector investment in AI-powered worker safety surveillance as regulatory enforcement intensity increases, insurance premium incentives for documented safety management investment grow, and documented reduction in workplace incident costs and workers' compensation liability from AI monitoring programs generate measurable return-on-investment evidence sustaining executive-level safety technology investment commitment.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share, due to the United States implementing strict OSHA safety management requirements creating mandatory safety monitoring investment motivation, leading AI safety monitoring vendors including Honeywell, Johnson Controls, and NVIDIA generating substantial domestic revenue, and strong corporate safety culture investment creating premium AI monitoring system adoption above regulatory minimums across manufacturing and logistics sectors.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR, due to China, Japan, South Korea, and India implementing comprehensive smart manufacturing safety system programs, rapidly growing industrial accident reduction policy mandates generating institutional AI safety system procurement, and domestic AI surveillance technology capability in China enabling competitively priced AI safety monitoring system deployment across rapidly expanding manufacturing and construction sectors.

Key players in the market

Some of the key players in AI-Powered Safety Monitoring Systems Market include Honeywell International Inc., Johnson Controls International plc, Bosch Security Systems, Hikvision Digital Technology Co. Ltd., Dahua Technology Co. Ltd., Axis Communications AB, Siemens AG, Schneider Electric SE, FLIR Systems Inc. (Teledyne), IBM Corporation, Microsoft Corporation, Oracle Corporation, Amazon Web Services Inc., NVIDIA Corporation, Intel Corporation, Zebra Technologies Corp., and Pelco Inc..

Key Developments:

In March 2026, Honeywell International Inc. launched an AI-powered industrial safety monitoring platform integrating computer vision PPE detection with gas sensor analytics for comprehensive real-time worker safety compliance monitoring in petrochemical and manufacturing facilities.

In February 2026, NVIDIA Corporation introduced Metropolis Smart Spaces AI safety analytics expansion enabling manufacturing operators to deploy multi-camera safety monitoring with privacy-preserving on-device AI inference without cloud data transmission requirements.

In December 2025, Axis Communications AB secured a major construction site safety monitoring deployment contract providing AI-powered PPE compliance detection and heavy equipment proximity alert systems across a large infrastructure development program.

Components Covered:

  • Hardware
  • Software
  • Services

Safeties Covered:

  • Workplace Safety Monitoring
  • Public Safety & Surveillance
  • Industrial Hazard Detection
  • Fire & Smoke Detection
  • Access Control & Security

Deployment Modes Covered:

  • Cloud-Based
  • On-Premise
  • Hybrid

End Users Covered:

  • Manufacturing
  • Construction
  • Healthcare
  • Transportation & Logistics
  • Government & Smart Cities

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 AI-Powered Safety Monitoring Systems Market, By Component

  • 5.1 Hardware
    • 5.1.1 Cameras & Imaging Devices
    • 5.1.2 Sensors & Detectors
    • 5.1.3 Edge Computing Devices
  • 5.2 Software
    • 5.2.1 AI Video Analytics
    • 5.2.2 Facial Recognition Systems
    • 5.2.3 Behavioral Analytics Platforms
  • 5.3 Services
    • 5.3.1 Integration & Deployment
    • 5.3.2 Maintenance & Support
    • 5.3.3 Consulting Services

6 Global AI-Powered Safety Monitoring Systems Market, By Safety

  • 6.1 Workplace Safety Monitoring
  • 6.2 Public Safety & Surveillance
  • 6.3 Industrial Hazard Detection
  • 6.4 Fire & Smoke Detection
  • 6.5 Access Control & Security

7 Global AI-Powered Safety Monitoring Systems Market, By Deployment Mode

  • 7.1 Cloud-Based
  • 7.2 On-Premise
  • 7.3 Hybrid

8 Global AI-Powered Safety Monitoring Systems Market, By End User

  • 8.1 Manufacturing
  • 8.2 Construction
  • 8.3 Healthcare
  • 8.4 Transportation & Logistics
  • 8.5 Government & Smart Cities

9 Global AI-Powered Safety Monitoring Market, By Geography

  • 9.1 North America
    • 9.1.1 United States
    • 9.1.2 Canada
    • 9.1.3 Mexico
  • 9.2 Europe
    • 9.2.1 United Kingdom
    • 9.2.2 Germany
    • 9.2.3 France
    • 9.2.4 Italy
    • 9.2.5 Spain
    • 9.2.6 Netherlands
    • 9.2.7 Belgium
    • 9.2.8 Sweden
    • 9.2.9 Switzerland
    • 9.2.10 Poland
    • 9.2.11 Rest of Europe
  • 9.3 Asia Pacific
    • 9.3.1 China
    • 9.3.2 Japan
    • 9.3.3 India
    • 9.3.4 South Korea
    • 9.3.5 Australia
    • 9.3.6 Indonesia
    • 9.3.7 Thailand
    • 9.3.8 Malaysia
    • 9.3.9 Singapore
    • 9.3.10 Vietnam
    • 9.3.11 Rest of Asia Pacific
  • 9.4 South America
    • 9.4.1 Brazil
    • 9.4.2 Argentina
    • 9.4.3 Colombia
    • 9.4.4 Chile
    • 9.4.5 Peru
    • 9.4.6 Rest of South America
  • 9.5 Rest of the World (RoW)
    • 9.5.1 Middle East
      • 9.5.1.1 Saudi Arabia
      • 9.5.1.2 United Arab Emirates
      • 9.5.1.3 Qatar
      • 9.5.1.4 Israel
      • 9.5.1.5 Rest of Middle East
    • 9.5.2 Africa
      • 9.5.2.1 South Africa
      • 9.5.2.2 Egypt
      • 9.5.2.3 Morocco
      • 9.5.2.4 Rest of Africa

10 Strategic Market Intelligence

  • 10.1 Industry Value Network and Supply Chain Assessment
  • 10.2 White-Space and Opportunity Mapping
  • 10.3 Product Evolution and Market Life Cycle Analysis
  • 10.4 Channel, Distributor, and Go-to-Market Assessment

11 Industry Developments and Strategic Initiatives

  • 11.1 Mergers and Acquisitions
  • 11.2 Partnerships, Alliances, and Joint Ventures
  • 11.3 New Product Launches and Certifications
  • 11.4 Capacity Expansion and Investments
  • 11.5 Other Strategic Initiatives

12 Company Profiles

  • 12.1 Honeywell International Inc.
  • 12.2 Johnson Controls International plc
  • 12.3 Bosch Security Systems
  • 12.4 Hikvision Digital Technology Co. Ltd.
  • 12.5 Dahua Technology Co. Ltd.
  • 12.6 Axis Communications AB
  • 12.7 Siemens AG
  • 12.8 Schneider Electric SE
  • 12.9 FLIR Systems Inc. (Teledyne)
  • 12.10 IBM Corporation
  • 12.11 Microsoft Corporation
  • 12.12 Oracle Corporation
  • 12.13 Amazon Web Services Inc.
  • 12.14 NVIDIA Corporation
  • 12.15 Intel Corporation
  • 12.16 Zebra Technologies Corp.
  • 12.17 Pelco Inc.

List of Tables

  • Table 1 Global AI-Powered Safety Monitoring Market Outlook, By Region (2023-2034) ($MN)
  • Table 2 Global AI-Powered Safety Monitoring Market Outlook, By Component (2023-2034) ($MN)
  • Table 3 Global AI-Powered Safety Monitoring Market Outlook, By Hardware (2023-2034) ($MN)
  • Table 4 Global AI-Powered Safety Monitoring Market Outlook, By Cameras & Imaging Devices (2023-2034) ($MN)
  • Table 5 Global AI-Powered Safety Monitoring Market Outlook, By Sensors & Detectors (2023-2034) ($MN)
  • Table 6 Global AI-Powered Safety Monitoring Market Outlook, By Edge Computing Devices (2023-2034) ($MN)
  • Table 7 Global AI-Powered Safety Monitoring Market Outlook, By Software (2023-2034) ($MN)
  • Table 8 Global AI-Powered Safety Monitoring Market Outlook, By AI Video Analytics (2023-2034) ($MN)
  • Table 9 Global AI-Powered Safety Monitoring Market Outlook, By Facial Recognition Systems (2023-2034) ($MN)
  • Table 10 Global AI-Powered Safety Monitoring Market Outlook, By Behavioral Analytics Platforms (2023-2034) ($MN)
  • Table 11 Global AI-Powered Safety Monitoring Market Outlook, By Services (2023-2034) ($MN)
  • Table 12 Global AI-Powered Safety Monitoring Market Outlook, By Integration & Deployment (2023-2034) ($MN)
  • Table 13 Global AI-Powered Safety Monitoring Market Outlook, By Maintenance & Support (2023-2034) ($MN)
  • Table 14 Global AI-Powered Safety Monitoring Market Outlook, By Consulting Services (2023-2034) ($MN)
  • Table 15 Global AI-Powered Safety Monitoring Market Outlook, By Safety (2023-2034) ($MN)
  • Table 16 Global AI-Powered Safety Monitoring Market Outlook, By Workplace Safety Monitoring (2023-2034) ($MN)
  • Table 17 Global AI-Powered Safety Monitoring Market Outlook, By Public Safety & Surveillance (2023-2034) ($MN)
  • Table 18 Global AI-Powered Safety Monitoring Market Outlook, By Industrial Hazard Detection (2023-2034) ($MN)
  • Table 19 Global AI-Powered Safety Monitoring Market Outlook, By Fire & Smoke Detection (2023-2034) ($MN)
  • Table 20 Global AI-Powered Safety Monitoring Market Outlook, By Access Control & Security (2023-2034) ($MN)
  • Table 21 Global AI-Powered Safety Monitoring Market Outlook, By Deployment Mode (2023-2034) ($MN)
  • Table 22 Global AI-Powered Safety Monitoring Market Outlook, By Cloud-Based (2023-2034) ($MN)
  • Table 23 Global AI-Powered Safety Monitoring Market Outlook, By On-Premise (2023-2034) ($MN)
  • Table 24 Global AI-Powered Safety Monitoring Market Outlook, By Hybrid (2023-2034) ($MN)
  • Table 25 Global AI-Powered Safety Monitoring Market Outlook, By End User (2023-2034) ($MN)
  • Table 26 Global AI-Powered Safety Monitoring Market Outlook, By Manufacturing (2023-2034) ($MN)
  • Table 27 Global AI-Powered Safety Monitoring Market Outlook, By Construction (2023-2034) ($MN)
  • Table 28 Global AI-Powered Safety Monitoring Market Outlook, By Healthcare (2023-2034) ($MN)
  • Table 29 Global AI-Powered Safety Monitoring Market Outlook, By Transportation & Logistics (2023-2034) ($MN)
  • Table 30 Global AI-Powered Safety Monitoring Market Outlook, By Government & Smart Cities (2023-2034) ($MN)

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