机场跑道 FOD 检测系统市场基于(关键地区、市场参与者、规模和份额)- 到 2031 年的预测

  • Report Code : TIPRE00016954
  • Category : Aerospace and Defense
  • Status : Published
  • No. of Pages : 145
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2019年机场跑道FOD检测系统市场价值为1.0333亿美元,预计到2027年将达到1.6903亿美元;预计 2020 年至 2027 年复合年增长率为 6.5%。

人类文物、技术文物和其他物体等异物碎片 (FOD)跑道上的污染物最终可能会对航空公司、乘客和机场造成损害,并可能造成高达数百万美元的损失。因此,开发 FOD 检测系统是为了防止航空公司及其乘客发生任何事故和损害。 Navtech 等公司提供雷达的高性能 FOD150 传感器,通过减轻人员负担来自动检测碎片。

合作伙伴计划正在市场上盛行,这有助于刺激市场增长。例如,Plextek 与韩国合作伙伴合作创建雷达解决方案,为应对 FOD 威胁提供经济高效且可扩展的平台。同样,Stratech Group Limited 宣布其 iFerretTM 智能机场/跑道监控和异物及异物检测系统已于 2017 年推出。碎片检测系统被选用于奥兰多国际机场经济高效的监视系统的性能评估,以进行试点测试。该公司声称,这一部署将有助于跟踪停机坪、滑行道交叉口、航站楼、货运区以及跑道上的飞机和地面车辆的移动。该项目由伊利诺伊大学机场技术卓越中心 (CEAT) 和美国联邦航空管理局 (FAA) 机场安全技术研究与开发小组共同开展,旨在提高机场安全。因此,此类合作伙伴关系有助于满足跑道外来物检测系统的安全和监视需求。

制定了严格的政府法规和标准,以增强飞机和机场的安全性,增加国防部在其运营中采购先进技术的支出限制以及机场/跑道的建设/扩建是促进 FOD 检测系统在跑道上渗透的几个因素;从而影响市场的增长。此外,基于人工智能的 FOD 检测系统的出现,可以实时检测 FOD,这是有助于预测期内市场增长的另一个因素。此外,哈马德国际机场、北京大兴国际机场和北京首都国际机场等商业机场的 FOD 检测系统的部署,为推动 FOD 检测系统的安装做出了重大贡献,从而推动了市场的增长.

COVID-19 大流行对机场跑道 FOD 检测系统市场的影响

一些国家在 2020 年获得了新机场以及新建或翻新的跑道,这推动了对机场相关技术的需求。由于大多数机场的大部分运营都已停止,机场跑道 FOD 检测系统市场参与者正在努力通过销售其产品或维修已安装的产品来获取利润。通过航空来源产生的收入有限,限制了机场管理层对技术和服务的投资,这阻碍了机场跑道 FOD 检测系统市场的增长。跑道 FOD 检测系统的制造商观察到,由于政府制定的封锁和社交距离规范,劳动力有限,导致产量减少,从而导致发货量减少。所有这些因素都限制了机场跑道 FOD 检测系统市场的正常增长。

机场跑道 FOD 检测系统提供商的利润丰厚的区域



机场跑道 FOD 检测系统市场洞察

发达国家国防支出的增加推动机场跑道 FOD 自动检测系统市场的增长

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机场跑道 FOD 检测系统有助于自动扫描机场表面和跑道,提供高检测和分辨率能力,并提供增强的态势感知,从而确保增强用户的安全。发达国家不断增长的国防开支导致军事部门越来越多地采用FOD检测系统。美国、丹麦、德国、挪威等GDP高的国家正在大力开展大规模工业化和基础设施建设。斯德哥尔摩国际和平研究所(SIPRI)的数据显示,2019年美国国防开支增长5.3%,达到7320亿美元,而中国当年国防开支增长5.1%,达到2610亿美元。不断增加的国防开支支持了这些国家机场跑道 FOD 检测系统市场的增长。

基于组件的市场洞察

基于组件机场跑道 FOD 检测系统市场分为硬件和服务。由于不断增加的研究和开发,硬件领域占据了市场主导地位。设计新系统以增强机场和航空公司人员安全的开发活动。此外,市场上运营的公司正在采取措施引入新系统。基于雷达和基于 RFID 的系统范围在机场中发展势头强劲。

机场跑道 FOD 检测系统市场(按组件划分)2019 年和 2027 年

基于最终用途的市场洞察

根据最终用途,机场跑道 FOD 检测系统市场分为军用机场和民用机场。由于新机场建设/扩建投资的增加、航空旅客数量的增加以及民用机场部署 FOD 检测系统的采用率不断提高,民用机场继续在市场中占据重要份额。

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战略洞察

机场跑道 FOD 检测系统市场的参与者专注于合并、收购和市场举措等战略,以维持其市场地位。下面列出了主要参与者的一些开发成果:

2020 年,XSight Systems 与卡塔尔 Bayanat Engineering 合作,在哈马德国际机场部署 RunWize 解决方案。 RunWize 解决方案将在哈马德国际机场的两条平行跑道上实施。

2019 年,Plextek Services Limited 与 Wave Tech 合作。通过此次合作,Plextek 和 Wave Tech 设计并开发了适用于机场跑道的先进 FOD 检测系统。该系统安装在韩国仁川机场,能够检测和警报 FOD 的存在。

按组件

  • 硬件
  • 服务

按最终用途划分

  • 军用机场
  • 民用机场
  • < /ul>

    按地理位置

    • 北美洲
      • 美国
      • 加拿大
      • 墨西哥
    • 欧洲
      • 法国
      • 德国
      • 意大利
      • 英国
      • 俄罗斯
      • 欧洲其他地区
    • 亚太地区 (APAC)
      • 中国
      • 印度
      • 韩国
      • 日本
      • 澳大利亚
      • 亚太地区其他地区
    • 中东及非洲 (MEA)
      • 南非
      • 沙特阿拉伯
      • 阿联酋
      • 中东和非洲其他地区
    • 南美洲 (SAM)
      • 巴西
      • 阿根廷
      • SAM 的其他地区

    公司简介

    • ArgosAI Teknoloji A.Åž。
    • Navtech 雷达
    • Pavemetrics
    • Plextek Services Limited
    • 莱茵金属股份公司
    • QinetiQ Group plc
    • 泰雷兹集团
    • XSight Systems Ltd.
    • Trex 航空系统
    • Varec, Inc.
Report Coverage
Report Coverage

Revenue forecast, Company Analysis, Industry landscape, Growth factors, and Trends

Segment Covered
Segment Covered

This text is related
to segments covered.

Regional Scope
Regional Scope

North America, Europe, Asia Pacific, Middle East & Africa, South & Central America

Country Scope
Country Scope

This text is related
to country scope.

Frequently Asked Questions


Which region led the airport runway FOD detection systems market in 2019?

Presently, North America held the largest share of the global airport runway FOD detection systems market. The North American airports experience significant number of aircraft movements on a daily basis. This has led respective airport authorities to continuously invest in maintaining runways in order to avoid any unescapable situation during take-off and landing. Owing to this, the adoption of advanced FOD detection system is surging in the current scenario among the North American airports.

Which factor is driving growth of the airport runway FOD detection systems market?

Airport runway FOD detection systems facilitate automated scanning of airport surfaces and runways, confer high detection and resolution capability, and provide enhanced situational awareness, thereby ensuring enhanced safety to users. The rising defense expenditure in developed countries has led to increase in the adoption of FOD detection systems in the military sector.

Which end use led the airport runway FOD detection systems market?

The civil airports segment is leading the global airport runway FOD detection systems market. With a rise in the number of airport construction and investments in building/expanding runways will directly influence the sale of FOD detection systems, and thus contributing to the market growth.

The List of Companies - Airport Runway FOD Detection Systems Market

  1. ArgosAI Teknoloji A.?
  2. Navtech Radar
  3. Pavemetrics
  4. Plextek Services Limited
  5. Rheinmetall AG
  6. QinetiQ Group plc
  7. Thales Group
  8. XSight Systems Ltd
  9. Trex Aviation Systems
  10. Varec, Inc

The Insight Partners performs research in 4 major stages: Data Collection & Secondary Research, Primary Research, Data Analysis and Data Triangulation & Final Review.

  1. Data Collection and Secondary Research:

As a market research and consulting firm operating from a decade, we have published and advised several client across the globe. First step for any study will start with an assessment of currently available data and insights from existing reports. Further, historical and current market information is collected from Investor Presentations, Annual Reports, SEC Filings, etc., and other information related to company’s performance and market positioning are gathered from Paid Databases (Factiva, Hoovers, and Reuters) and various other publications available in public domain.

Several associations trade associates, technical forums, institutes, societies and organization are accessed to gain technical as well as market related insights through their publications such as research papers, blogs and press releases related to the studies are referred to get cues about the market. Further, white papers, journals, magazines, and other news articles published in last 3 years are scrutinized and analyzed to understand the current market trends.

  1. Primary Research:

The primarily interview analysis comprise of data obtained from industry participants interview and answers to survey questions gathered by in-house primary team.

For primary research, interviews are conducted with industry experts/CEOs/Marketing Managers/VPs/Subject Matter Experts from both demand and supply side to get a 360-degree view of the market. The primary team conducts several interviews based on the complexity of the markets to understand the various market trends and dynamics which makes research more credible and precise.

A typical research interview fulfils the following functions:

  • Provides first-hand information on the market size, market trends, growth trends, competitive landscape, and outlook
  • Validates and strengthens in-house secondary research findings
  • Develops the analysis team’s expertise and market understanding

Primary research involves email interactions and telephone interviews for each market, category, segment, and sub-segment across geographies. The participants who typically take part in such a process include, but are not limited to:

  • Industry participants: VPs, business development managers, market intelligence managers and national sales managers
  • Outside experts: Valuation experts, research analysts and key opinion leaders specializing in the electronics and semiconductor industry.

Below is the breakup of our primary respondents by company, designation, and region:

Research Methodology

Once we receive the confirmation from primary research sources or primary respondents, we finalize the base year market estimation and forecast the data as per the macroeconomic and microeconomic factors assessed during data collection.

  1. Data Analysis:

Once data is validated through both secondary as well as primary respondents, we finalize the market estimations by hypothesis formulation and factor analysis at regional and country level.

  • Macro-Economic Factor Analysis:

We analyse macroeconomic indicators such the gross domestic product (GDP), increase in the demand for goods and services across industries, technological advancement, regional economic growth, governmental policies, the influence of COVID-19, PEST analysis, and other aspects. This analysis aids in setting benchmarks for various nations/regions and approximating market splits. Additionally, the general trend of the aforementioned components aid in determining the market's development possibilities.

  • Country Level Data:

Various factors that are especially aligned to the country are taken into account to determine the market size for a certain area and country, including the presence of vendors, such as headquarters and offices, the country's GDP, demand patterns, and industry growth. To comprehend the market dynamics for the nation, a number of growth variables, inhibitors, application areas, and current market trends are researched. The aforementioned elements aid in determining the country's overall market's growth potential.

  • Company Profile:

The “Table of Contents” is formulated by listing and analyzing more than 25 - 30 companies operating in the market ecosystem across geographies. However, we profile only 10 companies as a standard practice in our syndicate reports. These 10 companies comprise leading, emerging, and regional players. Nonetheless, our analysis is not restricted to the 10 listed companies, we also analyze other companies present in the market to develop a holistic view and understand the prevailing trends. The “Company Profiles” section in the report covers key facts, business description, products & services, financial information, SWOT analysis, and key developments. The financial information presented is extracted from the annual reports and official documents of the publicly listed companies. Upon collecting the information for the sections of respective companies, we verify them via various primary sources and then compile the data in respective company profiles. The company level information helps us in deriving the base number as well as in forecasting the market size.

  • Developing Base Number:

Aggregation of sales statistics (2020-2022) and macro-economic factor, and other secondary and primary research insights are utilized to arrive at base number and related market shares for 2022. The data gaps are identified in this step and relevant market data is analyzed, collected from paid primary interviews or databases. On finalizing the base year market size, forecasts are developed on the basis of macro-economic, industry and market growth factors and company level analysis.

  1. Data Triangulation and Final Review:

The market findings and base year market size calculations are validated from supply as well as demand side. Demand side validations are based on macro-economic factor analysis and benchmarks for respective regions and countries. In case of supply side validations, revenues of major companies are estimated (in case not available) based on industry benchmark, approximate number of employees, product portfolio, and primary interviews revenues are gathered. Further revenue from target product/service segment is assessed to avoid overshooting of market statistics. In case of heavy deviations between supply and demand side values, all thes steps are repeated to achieve synchronization.

We follow an iterative model, wherein we share our research findings with Subject Matter Experts (SME’s) and Key Opinion Leaders (KOLs) until consensus view of the market is not formulated – this model negates any drastic deviation in the opinions of experts. Only validated and universally acceptable research findings are quoted in our reports.

We have important check points that we use to validate our research findings – which we call – data triangulation, where we validate the information, we generate from secondary sources with primary interviews and then we re-validate with our internal data bases and Subject matter experts. This comprehensive model enables us to deliver high quality, reliable data in shortest possible time.

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