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Last Updated: Apr 25, 2025 | Study Period: 2023-2030
IoT Gunshot Detection identifies one or more traits connected to ammunition leaving a gun's chamber. Both auditory and visual components can be found in sensing modalities. These systems have so far evolved over three different technological generations.
Even though gunshot detection technology has been in various versions for almost three decades, it is only now that it is a truly workable and scalable option to safeguard lives in everyday situations. Three key characteristics of gunfire can be identified and used for detection:
The sound produced by high-pressure gases departing the gun barrel when a bullet leaves the chamber is known as the muzzle blast.The bullet's supersonic passage through the air causes a shock wave that can be heard as a "crack" or sonic boom.The muzzle flash, which is a muzzle's visible light
The Global IoT Gunshot Detection market accounted for $XX Billion in 2022 and is anticipated to reach $XX Billion by 2030, registering a CAGR of XX% from 2023 to 2030.
Too frequently, unpredictable active shooter events occur in settings including schools, places of worship, warehouses, and workplaces. Safety precautions must be taken because these disasters sometimes get worse before law enforcement can intervene.
âThe acclaimed IoT Gunshot Detection technology from 3xLOGIC can play a significant role in your active shooter safety and security strategy. Compared to other systems that rely on microphones and infrared sensors, this patented technology is the only one of its kind on the market and provides for more precision in identifying a gunshot. â
IoT Gunshot Detection is easy to deploy and simply integrates into our systems as well as any other installed intrusion, video management, or access control solution, allowing you and your security team to be more effective.
The industry-leading partner that created Itron's IoT Gunshot Detection employs a variety of sophisticated sensors to listen for acoustic irregularities. While removing all echoes, bounces, and false detections, machine learning pinpoints the exact position and type of threat, ranging from small handguns to high caliber rifles.
These sensors can be covertly incorporated into streetlight fixtures or installed on buildings and utility poles.BENEFITS-Determine gunshots and other dangers to public safety right away.,localize dangers with absolute accuracy,Gather documentation as proof.,Boost emergency response time,Boosting public safety
Sl no | Topic |
1 | Market Segmentation |
2 | Scope of the report |
3 | Abbreviations |
4 | Research Methodology |
5 | Executive Summary |
6 | Introdauction |
7 | Insights from Industry stakeholders |
8 | Cost breakdown of Product by sub-components and average profit margin |
9 | Disruptive innovation in theIndustry |
10 | Technology trends in the Industry |
11 | Consumer trends in the industry |
12 | Recent Production Milestones |
13 | Component Manufacturing in US, EU and China |
14 | COVID-19 impact on overall market |
15 | COVID-19 impact on Production of components |
16 | COVID-19 impact on Point of sale |
17 | Market Segmentation, Dynamics and Forecast by Geography, 2023-2030 |
18 | Market Segmentation, Dynamics and Forecast by Product Type, 2023-2030 |
19 | Market Segmentation, Dynamics and Forecast by Application, 2023-2030 |
20 | Market Segmentation, Dynamics and Forecast by End use, 2023-2030 |
21 | Product installation rate by OEM, 2023 |
22 | Incline/Decline in Average B-2-B selling price in past 5 years |
23 | Competition from substitute products |
24 | Gross margin and average profitability of suppliers |
25 | New product development in past 12 months |
26 | M&A in past 12 months |
27 | Growth strategy of leading players |
28 | Market share of vendors, 2023 |
29 | Company Profiles |
30 | Unmet needs and opportunity for new suppliers |
31 | Conclusion |
32 | Appendix |