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2021
Automotive Sensor Fusion Market

Automotive Sensor Fusion Market by Function Level (Data Level, Feature Level, and Decision Level), Sensor Environment (Internal Sensor and External Sensor), Sensor Type (LiDAR, RADAR, and Image), and Application (Powertrain & Drivetrain, Safety & Body Control, Exhaust, Infotainment, and Navigation & Telematics): Global Opportunity Analysis and Industry Forecast, 2021–2030

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Dec 2021 | 149 Views
   
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COVID-19

Pandemic disrupted the entire world and affected many industries.

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Sensor fusion is the technique of combing data from numerous sensors to calculate the accurate position and alignment information to perceive the environment more accurately. Automotive sensor fusion is a combination of several sensors used to improve a vehicle’s safety, comfort, efficiency, environment protection, driver’s assistance, and others. Each sensor used has its inherent strengths and weaknesses such as radars are used to determine accurate distance & speed, cameras are used to read signs & classify obstacles, and LiDARs are used to accurately detect objects. Thus, a vehicle can use sensor fusion to fuse data from each sensor type using software algorithms to provide the most comprehensive and accurate data. Moreover, it increases the detection probability & reliability of objects around the vehicle and yielding a more accurate representation of the environment. Sensor fusion is being used in advanced driver assistance systems for developing autonomous vehicles. Thus, sensor fusion is an integral part of the proper functioning of autonomous vehicles.

Market Scope and Structure Analysis

Report Metric

Details

  Market size available for years

   2020–2030

  Base year considered

  2020

  Forecast period

  2021–2030

   Forecast units

  Value (USD)

  Segments covered

Function Level, Sensor Environment, Sensor Type, Application, and Region

  Regions covered

North America (U.S., Canada, and Mexico), Europe (Germany, France, UK, Italy, and Rest of Europe), Asia-Pacific (China, Japan, India, South Korea, and Rest of Asia-Pacific), and LAMEA (Latin America, Middle East, and Africa)

  Companies covered

Robert Bosch GmbH, Continental AG, Allegro Microsystems, Delphi Automotive PLC, Denso Corporation, Infineon Technologies AG, Sensata Technologies Inc., Elmos Semiconductor AG, CTS Corporation, and General Electric Co

 

COVID-19 Impact Analysis

  • The governments of major countries announced lockdown and travel restrictions which have caused business shutdowns and the production of the automobile has been halted due to COVID-19. In addition, it has affected the demand for automotive sensor fusion since automobile production has been disrupted. Moreover, there was the unavailability of a workforce for hardware production required for automotive sensor fusion which further delayed the manufacturing process, due to social distancing norms and other restrictions. The growth of autonomous vehicles is expected to drive the growth of the market in the post-pandemic phase.

Top Impacting Factors 
High demand for autonomous vehicles, advanced driver assistance systems, and safety concerns are expected to drive market growth.
However, the high initial cost of deployment and lack of standardization of technologies can hamper the product market. 
Moreover, the rise in demand for the Internet of Things (IoT), rise in R&D for new technologies, and stringent regulations on vehicle emission act as an opportunity for growth of the market.
Market Trends
Demand for autonomous vehicle

  • For instance, in 2016 Dura Automotive Systems collaborated with Green Hills Software to develop sensor fusion modules for automated driving. 
  • Furthermore, U.S.-based start-up Udacity along with Mercedes-Benz’s North American R&D lab had developed a curriculum sensor fusion nanodegree in 2019 to meet the high demand for skills related to autonomous vehicles. All these new development in the field of the autonomous vehicle is expected to boost the growth of automotive sensor fusion market.

    
Key Segments Covered:

Segments

Sub-segments

  Function Level

  • Data Level
  • Feature Level
  • Decision Level

  Sensor Environment

  • Internal Sensor
  • External Sensor

  Sensor Type

  • LiDAR
  • RADAR
  • Image

   Application

  • Powertrain & Drivetrain
  • Safety & Body Control
  • Exhaust
  • Infotainment
  • Navigation & Telematics

  Region

  • North America
    • U.S.
    • Canada
    • Mexico
  • Europe
    • Germany
    • France
    • UK
    • Italy
    • Rest of Europe
  • Asia-Pacific
    • China
    • Japan
    • India
    • South Korea
    • Rest of Asia-Pacific
  • LAMEA
    • Latin America
    • Middle East
    • Africa

 

Key Benefits of the Report:

  • This study presents the analytical depiction of the automotive sensor fusion market along with the current trends and future estimations to determine the imminent investment pockets.
  • The report presents information related to key drivers, restraints, and opportunities along with the challenges of the automotive sensor fusion market.
  • The current market is quantitatively analyzed from 2020 to 2030 to highlight the automotive sensor fusion market growth scenario.
  • The report provides a detailed automotive sensor fusion market analysis based on competitive intensity and how the competition will take shape in the coming years

Questions Answered in the Report

  • Which are the leading market players active in the automotive sensor fusion market?
  • What would be the detailed impact of COVID-19 on the market?
  • What current trends would influence the market in the next few years?
  • What are the driving factors, restraints, and opportunities in the automotive sensor fusion market?
  • What are the projections for the future that would help in taking further strategic steps? 
 
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