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Future Perspectives: Key Trends Shaping the Artificial Intelligence (AI) Gun Detection System Market Up to 2030

01-19-2026 10:15 AM CET | Aerospace & Defense

Press release from: The Business Research Company

Artificial Intelligence (AI) Gun Detection System Market

Artificial Intelligence (AI) Gun Detection System Market

The artificial intelligence (AI) gun detection system market is poised for significant expansion as demand for enhanced security measures continues to rise globally. With technological advancements and increasing investments in AI-driven safety solutions, this sector is evolving rapidly to meet the needs of various public and private safety applications. Below is a detailed overview of the market's size, key players, emerging trends, and segment-wise analysis.

Forecasted Market Size and Growth of the AI Gun Detection System Market
The AI gun detection system market is anticipated to grow rapidly, reaching a value of $2.28 billion by 2030. This growth corresponds to a robust compound annual growth rate (CAGR) of 11.2% throughout the forecast period. Key factors driving this expansion include increased investments in more accurate AI-powered gun detection algorithms, the broader implementation of real-time threat identification and automated alert systems, and the adoption of integrated surveillance ecosystems aimed at enhancing public safety. Additionally, the deployment of scalable, cloud-connected detection solutions and efforts to improve detection effectiveness in crowded and complex environments contribute significantly to the market's upward trajectory. Important trends expected to shape the market include the growth of real-time surveillance analytics, wider use of firearm detection in infrastructure dedicated to public safety, advances in edge-based video processing technologies, integration with multi-threat security platforms, and a rise in proactive threat mitigation solutions.

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Leading Companies in the AI Gun Detection System Market
Several prominent companies dominate the AI gun detection system landscape, including Smiths Detection Inc., Avigilon Corporation, Evolv Technology Inc., ZeroEyes Inc., IronYun Inc., Scylla Technologies Inc., Xtractone Inc., ThreatVision.ai Inc., Flare Protect Inc., AnyVision Labs Ltd., Actuate AI, Coram AI Inc., IREX AI Inc., Athena Securitys Inc., Camio Inc., Cawamo Inc., IntelliSee, Liberty Defense Holdings Ltd., PerVista AI Inc., AiLert Inc., and Omnilert Inc.

In a notable development, SoundThinking Inc., a US-based security firm, acquired SafePointe LLC in August 2023. This acquisition, for an undisclosed sum, strengthens SoundThinking's position by incorporating SafePointe's innovative AI gun detection technology and solidifying its presence in new industry sectors. The move is expected to enhance SoundThinking's capabilities in advancing public safety and accelerate its growth trajectory. SafePointe LLC is recognized for providing AI-based gun detection systems in the United States.

View the full artificial intelligence (ai) gun detection system market report:
https://www.thebusinessresearchcompany.com/report/artificial-intelligence-ai-gun-detection-system-global-market-report

Emerging Trends Transforming the AI Gun Detection System Industry
Companies leading the AI gun detection market are dedicating efforts to developing sophisticated solutions, such as AI-powered visual gun detection software designed to monitor extensive areas continuously. These systems utilize computer vision technology to detect firearms in live video streams and immediately alert authorities.

For example, in February 2024, US-based Omnilert introduced its third-generation AI visual gun detection system, Omnilert Gun Detect. This advanced platform uses existing surveillance cameras to identify firearms in real time, offering swift verification and triggering automated responses like door locking and notifying emergency responders. The newest iteration offers a tenfold increase in processing efficiency, supporting up to 55 simultaneous 1080p camera feeds on standard hardware. Moreover, it seamlessly integrates with enterprise security systems, enabling centralized control across large camera networks.

Segmented Market Overview and Forecast for the AI Gun Detection System Market
The global AI gun detection system market is divided into several key segments to better understand its structure and opportunities:

1) Components: This includes Software, Hardware, and Services.
2) Technology Types: Machine Learning Algorithms, Deep Learning Techniques, Image Processing, and Computer Vision.
3) Deployment Models: Cloud-Based Solutions, On-Premises Solutions, and Hybrid Solutions.
4) End-User Categories: Law Enforcement Agencies, Educational Institutions, Corporate Enterprises, Transportation Hubs, and Other Users.

Further subdivisions include the following:

- Software: Artificial Intelligence-Based Detection Algorithms, Video Management Software, Integration and API Software, Alert and Notification Systems.
- Hardware: Closed-Circuit Television (CCTV) Cameras, Internet Protocol (IP) Cameras, Edge Devices, Thermal Sensors, Acoustic Sensors, Motion Sensors, Networking Equipment, and Storage Devices.
- Services: Installation and Integration Services, Training and Consulting, Maintenance and Support Services, Managed Services.

Overall, the AI gun detection system market is set to become increasingly vital as technological innovation and security demands grow hand in hand, ensuring safer environments across various sectors.

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Learn More About The Business Research Company
With over 17500+ reports from 27 industries covering 60+ geographies, The Business Research Company has built a reputation for offering comprehensive, data-rich research and insights. Armed with 1,500,000 datasets, the optimistic contribution of in-depth secondary research, and unique insights from industry leaders, you can get the information you need to stay ahead.Our flagship product, the Global Market Model (GMM), is a premier market intelligence platform delivering comprehensive and updated forecasts to support informed decision-making.

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