Drone Airspace Security Systems (DASS) is used to prevent drones or UAVs (unmanned aerial vehicles) from entering specific areas. The rising use of drone identification systems by armed forces to identify and detect harmful drones is likely to have an influence on market growth between 2020 and 2027.
The worldwide drone airspace security System market was valued at US$ 522.2 Mn in 2019 and is predicted to expand at a CAGR of 28.5 percent between 2020 and 2027.
COVID-19 has had a substantial impact on practically all industries, including counter infrastructure, transportation, oil and gas, manufacturing, and counter-drone system production. Several countries throughout the world, including Italy, Spain, and India, have implemented countrywide lockdowns to prevent the spread of COVID-19 illness. For example, the Government of India has declared a state of emergency from March 25, 2020, until June 1, 2020. There is a labor shortage in the production plants as a result of the lockdown. However, factories and stores are increasingly reopening as nations like India begin the unlocking process. The COVID 19 epidemic is likely to limit drone airspace security.
North America dominated the worldwide drone airspace security system market in 2019, accounting for 32.2 percent of the total value, followed by Europe and the Asia Pacific.
The use of machine learning and artificial intelligence in drones is propelling industry expansion. Recent advances in electrical components such as cameras, processors, microcontrollers, mobile electronics, and contemporary computers are improving drone capabilities. Because of faster microprocessors, better cameras, and contemporary computers, new developments in hardware and components enable drones to build real-time maps of the path. With the h, modern computers are capable of generating real-time drone mapping.
To acquire a competitive advantage in the industry, key market players are focusing on research and development efforts. For example, Future Fibre Technologies, an Australian business, unveiled Aura Ai in January 2017, a system that employs powerful optical signal processing techniques paired with artificial intelligence to distinguish between invasions, nuisance alarms, and other types of fence disruption.