Air Traffic Management Market: 3 Tech Trends Ushering Aviation Transformation

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Air Traffic Management Market 3 Tech Trends
Ushering Aviation Transformation

• Air traffic management primarily entails the
  control of traffic in and around airport
  terminals, airports, and airspace. As per
  the International Air Transport Association
  (IATA), the total number of air travelers is
  expected to reach around 4.0 billion by 2024.
• The growing number suggests medium-term
  challenges and the need to develop new
  technologies adapted to the sector.
  According to Inkwood Research, the global
  air traffic management market is projected to
  record a CAGR of 5.57 during the forecast
• period, 2023-2032, majorly attributed to the
  emergence of advanced technologies and ATM
  infrastructure modernization.
• In this regard, here are the 3 tech trends
  expected to shape the future of the air traffic
  management industry
• Integration of Artificial Intelligence (AI)

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Artificial intelligence (AI) has surged
over the past decade due to the
increasing computing power, the collection
storage of voluminous data, and the development
of resource-consuming complex algorithms and
system architectures. Similarly, the use of AI
in aviation could play a central role in several
areas 1. Optimum Sectorization AI can
offer considerable support in dynamic
airspace management. It can enable the handling
of a large amount of data and complexity. Also,
it can improve airspace design by redefining
sector boundaries that reflect the evolution of
traffic to facilitate excellent airspace
management.
2. Remote Towers The incorporation of AI
into pattern recognition can be used to
recognize parking positions, stands, and
holding points or alert the controller to
particular situations. Primarily, AI can
enable the efficiency and safety of air
navigation service providers (ANSPs)
through varied tools and systems.
Accordingly, it can enhance capacity by
supplementing decision-making, improve safety
by managing abnormal traffic, perceive
flow changes, and address environmental
issues through flight plans and trajectories
optimization.
3. Demand Prediction The integration of
artificial intelligence can help improve the
predictability and accuracy of traffic demand.
This will make the process of demand and capacity
balancing (DCB) more efficient.
4. 4D Trajectory AI contributes to
enhanced prediction and supplements decision-
making on specific operations like the
go-around by integrating airport activities
(delays connections) and take-off information.
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5. Flight Plans Optimization AI algorithms
will help propose the best trajectories for
aircraft and contribute to minimizing
greenhouse gas emissions by incorporating
weather, traffic data, numerous flight plans, etc.
Furthermore, a number of automated tools
are already deployed to assist air traffic
controllers. For instance, AI is being used
at Heathrow International Airport to
replace the views of the aircraft traffic
controller when the towers vision is lost
due to harsh weather.
Hardware is the largest of 42.79 in 2022.
revenue-generating
offering,
with
a revenue
share

• Adoption of the Trajectory Based Operations (TBO)
• Trajectory Based Operations (TBO) uses the flight
  trajectory of every in-service aircraft
• in four dimensions (4D), time, altitude,
  longitude, and latitude, to perceive/know their
  4D
• positions at any given linear time.
  The data is then used for efficient
  airspace management. This method helps plan
  and manage flights strategically by using
  time- based management (TBM).
• Further, TBO will increase the airport
  and airspace throughput, predictability,
  and flexibility through performance-based
  navigation (PBN) and time-based management
  (TBM) procedures. For instance,
  Trajectory Based Operations (TBO) has
  been instrumental in minimizing
  capacity-to-demand imbalances in the National
  Airspace System (NAS) in the United States. In
  addition, it facilitates air traffic controllers
  to boost aircraft movement between
  origin-destination airports.
• Automatic Dependent Surveillance-Broadcast
  (ADS-B)
• As per the International Air Transport
  Association (IATA), global air traffic is set to
  surge
• in the next few years. As a result, there is a
  growing need to ensure enhanced aviation

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• safety standards. Similarly, the rising
  fleet traffic needs precise monitoring
  and controlling. For instance, radar coverage.
  Even today, vast stripes of the Hudson Bay in
• Canada and the Pacific Ocean near Australia are
  not under any radar coverage. Automatic
  Dependent Surveillance-Broadcast systems
  (ADS-B) is a technology that
• enables the visibility of remote aircraft
  on air traffic control (ATC) screens for
  such swathes that are not under the radar
  surveillance. This is done through the
  tactical deployment of low-cost ADS-B
  receiving stations. ADS-B is used across
  aircraft-to-
• aircraft and aircraft-to-ATS applications.
• As per our analysis, Air Traffic Flow
  Management is the fastest-growing domain,
  expected to register a CAGR of 5.73 by 2032.
• An ADS-B-enabled aircraft can ascertain
  its location on GPS, which is further
  broadcasted at rapid intervals to ADS-B
  receiving stations alongside other
  information like flight number, velocity, and
  altitude. These ground stations transmit
  this data to ATCs for precision aircraft
  tracking. ADS-B encompasses advanced
  technologies like receivers, transmitters, and
  space satellites which help deliver
  highly-specific information regarding aircraft
  speed and location.
• Additionally, the benefits of ADS-B include the
  following
• Well-timed and precise surveillance information
• Prediction of pilots and flight crews relative
  location in comparison to other aircraft in the
  vicinity
• Displays both ground and airborne traffic
• Provides real-time information and an
  integrated surveillance picture that can be
  shared during instances where aircraft deviates
  from their assigned flight paths
• Low-cost implementation compared to existing
  digital technologies
• Air Traffic Management Market Potential Impact
  of Disruptive Technologies
• Air Traffic Management (ATM) is a crucial
  element of the air transport value chain.
  Substantial technological advancements in
  digitalization, communication, and satellites,

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have enabled potentially disruptive
innovations for ATM, like
corresponding centralizations of some of its
services, virtual centers, remote towers for air
traffic control (ATC), sector-less ATM,
flight-centric operations, etc. As a result,
stakeholders are set to utilize these novel
technologies to address airspace capacity
storages, optimize aircraft trajectories, and
boost decision-making. Besides, with the air
traffic management market embarking on a
digital transformation journey, such
technologies will help minimize human workload
and surge human capabilities.