Global and U.S. AI-Based Security Systems Market Report, Published by QY Research.

QY Research has released a comprehensive new market report on AI-Based Security Systems, are security solutions that use artificial intelligence (AI) technologies-such as machine learning, computer vision, and data analytics-to detect, analyze, and respond to security threats automatically and intelligently.

https://www.qyresearch.com/reports/5546643/ai-based-security-systems

Core Market Data

Global market size: USD 12.5 billion
CAGR (2024-2030): 16.7%
Average price: USD $50,000

List of Main Players

Hikvision (SZSE: 002415, China)
Dahua (SZSE: 002236, China)
Hanwha (KRX: 489790, South Korea)
Panasonic (TYO: 6752, Japan)
Knightscope (NASDAQ: KSCP, USA)
IBM (NYSE: IBM, USA)
Cisco (NASDAQ: CSCO, USA)
Palo Alto (NASDAQ: PANW, USA)
Fortinet (NASDAQ: FTNT, USA)
CrowdStrike (NASDAQ: CRWD, USA)
Check Point (NASDAQ: CHKP, Israel)
Verkada (Private, USA)
Bosch (Private, Germany)
Avigilon (private, Canada)
FLIR Systems (private, USA)
Axis Communications (private, Sweden)
Darktrace (private, UK)

1. By Deployment Mode

On-Premise
Cloud-Based
Hybrid

2. by AI capability

Facial Recognition
Anomaly Detection
Predictive Analytics

3. By Solution Type

Video Surveillance Systems
Thermal Imaging & Smart Cameras
Access Control Systems
Video Management Software (VMS)
Cybersecurity Platforms
Integrated Physical + Cyber Security Platforms

4. By Application

Banking & Finance (BFSI)
Healthcare
Retail & E-Commerce
Industrial & Manufacturing
Others

Case Study for Bidding

Time: Q2 2024
Supplier: Axis Communications
Buyer: Municipal Smart City Authority (Asia-Pacific)
Product: AI-powered network cameras with video analytics & VMS
Quantity: 1,200 units
Contract Value: USD 8.5 million
Delivery Timeline: 9 months

Case Study for End Using

End User: Urban Transportation Authority

Application: Real-time monitoring of metro stations and transit hubs using AI-powered video analytics for crowd management, threat detection, and operational safety

Installation Location / Usage Stage

Installation Location: Metro stations, platforms, entrances/exits, control rooms, and surrounding public areas
Usage Stage: 24/7 real-time monitoring, incident detection, data analysis, and post-event investigation

Purpose

Enhance public safety through real-time threat and anomaly detection
Improve operational efficiency and crowd flow management
Support evidence collection and incident response decision-making

Effect

Reduced security incidents and faster response times
Improved passenger safety and smoother crowd movement
Higher situational awareness and more effective investigations

Alternative Technologies
Conventional CCTV systems without AI analytics
Manual security patrols and human monitoring
Standalone access control and alarm systems without system integration

Therefore, AI-Based Security Systems remain a highly efficient tool for ensuring real-time threat detection, proactive security management, and operational efficiency, enabling organizations to enhance safety, reduce risks, and optimize resource allocation across public, commercial, and industrial environments.

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This release was published on openPR.