Impact Analysis of Covid-19
The complete version of the Report will include the impact of the COVID-19, and anticipated change on the future outlook of the industry, by taking into the account the political, economic, social, and technological parameters.
A gunfire locator or gunshot detection system is a system that detects and conveys the location of gunfire or other weapon fire using acoustic, optical, or potentially other types of sensors, as well as a combination of such sensors. These systems are used by law enforcement, security, military and businesses to identify the source and, in some cases, the direction of gunfire and/or the type of weapon fired.
Scope of the Report:
The North America gunshot detection system market is expected to grow at the highest CAGR during the forecast period. The gunshot detection system market in North America is expected to witness significant growth, owing to a high number of firearm-related deaths in the region, especially in the U.S. where the firearm-related death rate is 25 times higher than other countries. Major U.S. cities are planning to install indoor gunshot detection systems at universities, corporate office locations, and financial facilities, among others, over the next five years.
The gunshot detection system market was dominated by the homeland segment in 2016 and is expected to continue its dominance during the forecast period. Gunshot detection systems for homeland security were first used in the U.S. These systems are primarily used by law enforcement agencies. They are installed at the height of more than 30 feet above the ground at specific locations of the coverage area. These include walls, poles, streetlights, and buildings, among others. Furthermore, increase in mass shootings incidents at educational institutions is a prime concern.
On the basis of installation type, the gunshot detection system market has been segmented into fixed, vehicle mounted, and wearable. The gunshot detection system market is dominated by the fixed segment, which is projected to grow at the highest CAGR during the forecast period. Fixed gunshot detection systems use the acoustic sensor node detection technology to detect a gunshot event. Fixed installations are carried out at a specific height from the ground. High-security areas such as restricted military infrastructures are the potential fixed installation sites of gunshot detection systems.
The global Gunshot Detection Systems market is valued at 790 million USD in 2018 and is expected to reach 2600 million USD by the end of 2024, growing at a CAGR of 27.0% between 2019 and 2024.
The Asia-Pacific will occupy for more market share in following years, especially in China, also fast growing India and Southeast Asia regions.
North America, especially The United States, will still play an important role which cannot be ignored. Any changes from United States might affect the development trend of Gunshot Detection Systems.
Europe also play important roles in global market, with market size of xx million USD in 2019 and will be xx million USD in 2024, with a CAGR of xx%.
This report studies the Gunshot Detection Systems market status and outlook of Global and major regions, from angles of players, countries, product types and end industries; this report analyzes the top players in global market, and splits the Gunshot Detection Systems market by product type and applications/end industries.
Market Segment by Companies, this report covers
Battelle Memorial Institute
Safran Electronics & Defense
ELTA Systems Ltd
Qinetiq North America
Microflown Avisa B.V.
Shooter Detection Systems LLC
Safety Dynamics Inc
Information System Technologies
V5 Systems Inc
Market Segment by Regions, regional analysis covers
North America (United States, Canada and Mexico)
Europe (Germany, France, UK, Russia and Italy)
Asia-Pacific (China, Japan, Korea, India and Southeast Asia)
South America (Brazil, Argentina, Colombia)
Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa)
Market Segment by Type, covers
Vehicle Mounted System
Market Segment by Applications, can be divided into