global automotive sensor fusion market size was valued at around USD 1.5 billion in 2021 and is expected to grow at a CAGR of 6.8% during the forecast period.
Sensor fusion refers to the capacity to merge data from various radars, LIDAR, and cameras to form a single model or image of the vehicle’s surroundings. Because it balances the strength of numerous sensors, the resulting model is more accurate. Sensor fusion information can be used by vehicle systems to assist better actions. Sensor fusion uses software algorithms to build the most comprehensive and accurate picture of the environment by collecting data from each of these sensor kinds. It can correlate data from within the vehicle using a technique known as internal and external sensor fusion.
Sensor data fusion is critical in present and future active vehicle safety systems. The development of new advanced sensors is incomplete unless enhanced signal processing techniques, such as data fusion approaches, are used. Standalone sensors are incapable of overcoming physical limits such as range and field of vision. Combining information from several sensors expands the area covered by the sensors around the vehicle and boosts the entire system’s reliability in the event of sensor failure.
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Radar and other modern sensors are being used more frequently in the development of autonomous cars. In terms of system hardware complexity, sensor fusion of camera and radar data provides the optimum option. For system coverage, just two types of sensors are integrated and complement each other: cameras for vision and radar for obstacle detection.
Sensor fusion is a critical activity in autonomous driving applications that fuses information from several sensors to reduce uncertainty when sensors are utilised individually. Sensor fusion improves system integrity, dependability, and robustness during regular operation and provides extra protection against analog-domain sensor network attacks. Automakers can reduce the danger of malfunction or malicious activity causing injury to persons, property, or economic prosperity by properly adopting sensor fusion into their systems. Tolerance error exists in all sensors and models, and having numerous sensors that measure the same quantity can improve dependability and resilience to failure.
Top Prominent Players of Global Automotive Sensor Fusion Market:
- Continental AG
- Bosch
- Delphi Technologies
- Infineon Technologies AG
- ZF Friedrichshafen AG
- Denso Corporation
- NXP Semiconductors
- Texas Instruments
- STMicroelectronics
- Renesas Electronics Corporation
Market Segmentation:
By Sensor Type:
Radar Sensors
Lidar Sensors
Camera Sensors
Ultrasonic Sensors
Level of Autonomy:
Level 1
Level 2
Level 3
Level 4
Level 5
Vehicle Type:
Passenger Cars
Light Commercial Vehicles
Heavy Commercial Vehicles
Application:
ADAS
Autonomous driving systems,
Electric vehicles
End-User:
OEMs
Aftermarket
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Market Drivers:
Increasing demand for advanced driver assistance systems (ADAS): ADAS systems, which rely on sensor fusion technology, are becoming increasingly popular in the automotive industry as they enhance driver safety and comfort. This is driving the demand for automotive sensor fusion technology.
Growing demand for autonomous vehicles: Autonomous vehicles rely heavily on sensor fusion technology to gather data from various sensors and make decisions about the vehicle’s environment. As the demand for autonomous vehicles grows, so does the demand for automotive sensor fusion technology.
Technological advancements: Advancements in sensor technology, such as the development of lidar and 3D imaging sensors, are driving the demand for automotive sensor fusion systems. These sensors can provide more detailed and accurate data about the vehicle’s environment, which can improve the performance of ADAS and autonomous driving systems.
Increasing safety regulations: Governments around the world are implementing regulations aimed at improving road safety. Automotive sensor fusion technology can help automakers meet these regulations by enhancing the safety and performance of their vehicles.
Increasing demand for electric vehicles: The increasing demand for electric vehicles is driving the demand for sensor fusion technology. Electric vehicles require advanced sensor technology to optimize battery life and improve the driving experience.
Why to buy this Report?
The report provides quantitative and qualitative aspect for the market in terms of value and volume, along with supporting market trends, challenges, restraints.
The report provides an in depth analysis from both production and consumption point of view at the regional and country level. Key Factors considered within the report scope are Production capacity by countries/regions, average price, consumption ratio, revenue earned and gross margin.
The report provides competitive analysis of around 30-50 companies operated in the market, these companies are bifurcated into niche players, the leaders and major contenders.
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