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Airport Runway Foreign Object Debris (FOD) Detection Systems Market Perceptions Highpoint Industrial Expansion in Coming Years, reports Fact.MR study

05-16-2019 11:28 AM CET | IT, New Media & Software

Press release from: Fact.MR

Airport Runway Foreign Object Debris (FOD) Detection Systems

The purpose of this rich study presented by Fact.MR is to elaborate the various market projections impacting the global airport runway foreign object debris (FOD) detection systems market during the period until 2028. This assessment delivers high-end statistics concerning market size, Y-o-Y growth in trends and revenue share (US& Mn) linked to different geographies and segmentation types. Readers can acquire precise insights about growth trends along with opportunities that are expected to reshape the overall structure of the airport runway foreign object debris (FOD) detection systems market during the forecast period.

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The global airport runway fod detection systems market remains consolidated with a limited number of players. Four companies accounted for nearly two-thirds revenue share of the market in 2017. These top 4 market leaders include The Stratech Group, Moog Inc., Xsight Systems Ltd., and Trex Aviation Systems Inc. The tier 1 companies in the airport runway FOD detection systems market are investing in extensive research and development for encouraging product innovations in line with the latest specifications and standards. Moreover, these players are capitalizing on budding opportunities across emerging nations, which can enable them to tap into new end-user segments. The companies in the airport runway FOD detection systems market are also focusing on offer competitive pricing in a bid to win maximum number of government contracts – a key growth influencer in the market.

Efficient FOD management has always been one of the paramount factors fueling seamless operation of aircrafts. The emphasis on high-precision FOD management devices for real-time monitoring has catalyzed the incorporation of new technologies into the existing framework and encouraged initiatives by key manufacturers to launch new products in the airport runway FOD detection systems market. For instance, Argosai, a leading player in the airport runway FOD detection systems market, launched A-FOD to capture high-resolution images by using artificial intelligence techniques. With such initiatives mainstreaming in the airport runway FOD detection systems market, it is highly likely that established manufacturers and new entrants might diversify their product lines with technologically-advanced products.

Identification and mitigation of risks has led to multiple initiatives for upgrading the infrastructure across airports worldwide. Aviation authorities across the globe are focusing on adoption of airport runway FOD detection systems to ensure safety of aircrafts. For instance, the Airport Authority of Trinidad and Tobago includes ‘FOD Management Programme’ in its safety initiatives, wherein a proactive approach to deal with FODs has been reinforced. The Airports Council International (ACI), in its latest set of policies, has incorporated section titled ‘Control of Foreign Object Debris (FOD)’ that emphasizes on measures to prevent occurrence of FODs. As a part of the Airport Improvement Program (AIP), the U.S. Department of Transportation announces grants for revamp of airport infrastructure, which also emphasizes minimizing foreign object debris on the airport runways. Surge in similar kind of investments in airport infrastructure is foreseen to boost future developments and demand for airport runway FOD detection systems.

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As per an insight provided by the International Air Transport Association (IATA), more than half of the global population will choose air travel by 2036. This has persuaded both authorities and service providers in the aviation industry to focus on operational efficiency as well as safety. Sensing the adverse impacts of FODs on the efficiency of aircrafts, the aviation framework is placing high demand for high-precision airport runway FOD detection systems. This surge in demand for airport runway FOD detection systems is to quickly detect FODs during the pre-takeoff and post-landing surveillances, which helps in mitigation of flight delays.

Being a traditional procedure, visual aviation surveillance has specific loopholes associated with it, ranging from contrast sensitivity to detection incompetency amid poor light conditions. These challenges have induced a paradigm shift from visual methods to automated surveillance systems, thereby bolstering the adoption of automated airport runway FOD detection systems across aviation assemblies. A recent survey published by the Airports Council International (ACI) unveiled the potential of an automated FOD surveillance system as compared to that of visual inspections, thereby influencing this key industry trend. Sensing the demand for automated airport runway FOD detection systems, key manufacturers such as Xsight Systems and Moog, Inc. are introducing automated FOD detection systems to attain revenue benefits.

The report on airport runway FOD detection systems market features the key players operating in the market. The leading market players of the global airport runway FOD detection systems market include are Xsight Systems Ltd., Moog, Inc., Trex aviation systems, The Stratech Group Limited, Argosai technology, Pavemetrics Systems Inc. , Hitachi Kokusai Electric Inc., and Rheinmetall Italia S.p.A. Leading market players in the airport runway FOD detection systems market are vying to strengthen their foothold by adopting effective strategies for geographical expansions and product diversifications.

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About FactMR

FactMR is a fast-growing market research firm that offers the most comprehensive suite of syndicated and customized market research reports. We believe transformative intelligence can educate and inspire businesses to make smarter decisions. We know the limitations of the one-size-fits-all approach; that's why we publish multi-industry global, regional, and country-specific research reports.

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