Automotive Embedded Systems Market: Autonomous Cars to pilot Growth Prospects

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Automotive Embedded Systems Market Autonomous
Cars to pilot Growth Prospects
In 1968, Volkswagen used the first embedded
system in its Volkswagen 1600 to control its
electronic fuel injection system. An embedded
system is a computer or electronic system
designed to access and control data in
electronics-based systems. In automotive,
embedded systems control engine management
systems. According to Inkwood Research, the
global automotive embedded systems market is
estimated to project a CAGR of 5.44 during the
forecast period, 2022-2030. Embedded systems play
a central role in automobiles due to their
versatility and flexibility. The widely used
embedded systems in vehicles include anti-lock
braking systems, collision controls, navigation
systems, in-vehicle entertainment systems,
telematics, airbags, traction controls, etc. As a
result, they are said to facilitate a
comfortable, efficient, and safe automobile
experience. As per our evaluation, software is
the fastest-growing embedded type in the market,
set to register a CAGR of 6.31 by 2030.
Automotive Embedded Systems Market Autonomous
Cars to Steer Growth Intelligence, analysis, and
automation have moved beyond human-centric to
machine-specific applications. Accordingly, the
automotive industry is headed toward connected
and autonomous
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• cars. The primary factor propelling this
  transition is the surging recognition of human
  error in automobile accidents and fatalities. As
  per a Stanford Law School report, human errors
  are, in part or fully, responsible for at least
  90 of total motor vehicle crashes globally.
• As a result, autonomous cars are evaluated to
  play a central role in accomplishing the
  automotive industry's ambitious goals of 'zero
  accidents,' 'zero congestion,' and 'zero
  emissions.' The evolution of embedded systems has
  enabled enhanced qualities and new
  functionalities in autonomous cars. These include
  assisting and alerting drivers about imminent
  accidents, information about traffic conditions,
  autonomous upgradation and diagnosis, etc.
• Further, autonomous cars' cost-effectiveness,
  efficiency, and reliability majorly rely on the
  seamless integration of their computer control,
  perception unit, and navigation sensors, and
  subsequently, how well they meet transportation
  needs. In addition, the cars must integrate their
  intelligent controls and environmental perception
  capabilities for optimal path-planning
  strategies. These strategies must be able to
  minimize pollution exposure, fuel consumption,
  and time of travel, and avoid obstacles. Such
  developments increase the need for advanced
  embedded systems in autonomous cars.
• According to our assessment, commercial vehicles
  are the fastest-growing vehicle in the global
  automotive embedded systems market, expected to
  record a CAGR of 6.64 by 2030.
• Accordingly, here are a few technologies used in
  autonomous cars that address the need for
  automotive embedded systems
• Global Positioning System (GPS)
• With no human intervention, an autonomous car
  operates on its own as it moves along different
  destinations. For this, it needs a global
  positioning system (GPS). This is because GPS
  uses at least four satellites to provide
  positioning information, helping the car know its
  location, speed, and direction. Also, the
  increasing accuracy of GPS devices has enabled
  them to discover the fastest routes and monitor
  traffic, thereby saving time for passengers.
• At the same time, GPS is vulnerable to radio
  interference and can be blocked by skyscrapers or
  other environmental factors. Nevertheless,
  several embedded systems are being developed for
  navigation, such as automotive inertial
  measurement systems like gyroscopes and
  accelerometers to supplement the GPS.
• Digitally-Controlled Braking Systems

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• Automatic braking systems are vital for
  automobile safety. As per the Insurance Institute
  for Highway Safety (IIHS), crash avoidance
  features can prevent or lessen the impact of
  around 1.9 million crashes annually. Automatic
  braking systems, thus, play a central role in
  crash prevention. This is attributed to their
  principal use in adaptive cruise control and
  precrash collision avoidance systems.
• Radar Systems
• Cars with blind spot monitoring systems or
  adaptive cruise control embedded systems use
  radars. However, their use in autonomous cars is
  broad because autonomous cars must have
  front-facing or rear-facing radar systems to
  provide information about the surrounding
  objects. In addition, they alert the driver when
  objects are too near. For instance, the 24 GHz
  radar, placed in the rear and front bumpers, is
  already in use for short and mid-range collision
  avoidance, blind spot detection, and
  self-parking. As such, autonomous cars need more
  advanced radar systems.
• Lane Departure Warning System (LDWS)
• The Lane Departure Warning System's (LDWS)
  purpose is to avoid sideswipe and run-off-road
  crashes and supplement lane-keeping. For this
  purpose, the vehicle must sense the lane and road
  boundaries and the position of the vehicle in the
  lane. Accordingly, several methods are being
  researched for this task performance, image
  processing, highly accurate GPS and digital maps,
  and embedded magnetic markers.
• For instance, the magnetic markers project a
  magnetic field that could be detected by the
  vehicle's sensors, which gives a path to stay in
  between the sets of road magnets. Whereas another
  approach is the integration of the roadway lanes'
  highly accurate digital mapping with
  satellite-positioning accuracies in the order of
  0.5m or more.
• According to Inkwood Research, sensors and
  drivers are the largest revenue-generating
  component
• in the global market, with a revenue share of
  52.30 in 2021.
• Next Generation Autonomous Cars Converging AI
  and Embedded Systems
• The next generation of fully-autonomous cars will
  need more advanced embedded systems than current
  ones. The operation of intricate artificial
  intelligence (AI) software and systems would be a
  requisite for such vehicles. As a result, the
  need for a new generation of embedded processors
  to address the computational and cognitive
  demands offers growth opportunities for
  automotive embedded systems.

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• Besides, AI is already gaining traction with the
  increasing number of advanced embedded designs.
  The convergence of AI and embedded systems will
  substantially improve the image and video
  recognition. Subsequently, the advancements in
  embedded technology may aid in developing imaging
  equipment with more compact designs and greater
  computing capability. Such developments offer
  lucrative growth opportunities for the global
  automotive embedded systems market.
• FAQs
• Which are the key players in the global
  automotive embedded systems market?
• A Infineon Technologies AG, Panasonic
  Corporation, Samsung Electronics Co Ltd (Harman
  International), NXP Semiconductors NV, etc., are
  among the key players in the global automotive
  embedded systems market.
• Which is the fastest-growing application in the
  global automotive embedded systems market?
• A Body Electronics is the fastest-growing
  application in the global automotive embedded
• systems market.
• Which country offers lucrative growth
  opportunities for automotive embedded systems?
• A Germany offers lucrative growth opportunities
  for automotive embedded systems.