Sensor Fusion Market for Automotive by Technology, Software Layer, Vehicle Type and Region

“Stringency in safety regulations, growing adoption of advanced ADAS features and developments in sensor fusion hardware and software are driving the growth of the sensor fusion market for automotive globally”

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The ICE sensor fusion market for automotive is projected to reach USD 22.2 billion by 2030 from an estimated USD 2.9 billion in 2021, at a CAGR of 25.4% during the forecast period. Various governments globally are implementing safety standards by making safety features such as automated emergency brake, adaptive cruise control, lane departure warning a mandatory feature in vehicles, driving adoption of cameras, radars and LiDARs in automobiles. This is expected to strongly drive the adoption of sensor fusion in developed as well developing countries. Also, growing popularity of high-end and luxury cars is boosting sensor fusion market for automotive. Countries such as India, China, Brazil, Mexico, Argentina, European Union, US are focusing on enhanced automotive safety standards. Thus, the demand is expected to gain momentum globally.

“Heterogeneous fusion type is expected to be the largest market by data fusion type”

The key benefits of heterogenous sensor fusion are enhanced system performance and robustness. Examples of multi-modal fusion systems or heterogeneous sensors are visible cameras, Far IR cameras, visual cameras LASER scanner radar, GPS localizer CAN bus Gyroscope, etc. Various modern sensor networks are heterogenous - a combination of a variety of wired and wireless sensors/actuators. For instance, in a driver assistance system, the system collects data from internal and external sensors installed in the car. This includes various types of sensors such as GPS localizers, a CAN bus, a gyroscope, radar, and cameras. Thus, the multiple benefits offered by heterogeneous sensor data fusion are driving its popularity in vehicles.

“Decision fusion market segment is expected to be the fastest”

In decision level sensors, each sensor makes an individual decision before forming a combination of decisions to arrive at a more informed final decision, i.e., target decision fusion. Decision fusion is less complex than data fusion. Decision-making algorithms, as a key technology for uncertain data fusion, is the core to obtain reasonable multisensory information fusion results. Thus, there is a broad application of decision-making algorithms on target attributes, characteristics, and types through detailed processing of information obtained through various sensors. A multitude of theorems and algorithms are emerging in decision sensor fusions. Decision fusion is expected to gain popularity globally in the coming years, owing to its advantages and less complex architecture. One of the many practical benefits offered by decision fusion is that it allows combining individual results, even if it was not expected in the testing of the algorithm. Consequently, different sources of information can be easily exchanged, and the fusion strategy is readily adapted to unknown future changes of input sources.

“Asia Pacific market is expected to register the highest growth during the forecast period”

The Asia Pacific sensor fusion market for automotive is estimated to be the fastest-growing regional market. The growing adoption of advanced ADAS technologies in China, Japan, South Korea, and India is expected to drive market growth in the region. China’s passenger car production is expected to reach 24 million units by 2026, presenting a huge opportunity for sensor fusion hardware manufacturers and software/algorithm developers globally as well as domestically. Not only passenger cars but trucks are also set to reach 2 million units by 2026. The South Korean transport ministry announced that it requires all new large passenger vehicles and trucks to be fitted with AEB and LDW systems from January 2019. Thus, the implementation of government mandates is expected to drive the adoption of sensors- cameras, radars and LiDARs. Such factors would in turn, drive the growth of sensor fusion technology during the forecast period.

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In-depth interviews were conducted with CEOs, vice-presidents, marketing directors, innovation and technology directors, and executives from various key organizations operating in this market.

By Company Type: Supply Side- 70%, Demand Side- 30%
By Designation: C Level - 11%, D Level – 11%, and Others - 78%
By Region: Asia Pacific- 56%, Europe - 22%, North America - 22%

The sensor fusion market for automotive is led by globally established players such as Robert Bosch GmbH (Germany), ZF Friedrichshafen AG (Germany), Continental AG (Germany), NXP Semiconductors N.V. (Netherlands), Infineon Technologies (Germany), and Denso Corporation (Japan), Aptiv (Ireland). The study includes an in-depth competitive analysis of these key players in the sensor fusion market for automotive with their company profiles, MnM view of the top five companies, recent developments, and key market strategies.

Research Coverage:

The sensor fusion market for automotive is segmented by region (Asia Pacific, Europe, North America, and RoW), vehicle type (passenger car, LCV, and HCV), technology (camera, radar and LiDAR), electric vehicle type (BEV, PHEV and FCEV), autonomous vehicle (L4 and L5), software layer (operating system, middleware, and application software), data fusion type (homogeneous, and heterogeneous), data fusion level (data, feature, and decision), sensor type (temperature, pressure, oxygen, NOx, speed, inertial, image, position, and other sensors), application (powertrain & drivetrain, safety & body control, exhaust, infotainment, navigation & telematics, sensor fusion environment (internal and external).

The study also includes an in-depth competitive analysis of the key players in the market along with their company profiles, key observations related to product and business offerings, recent developments, and key market strategies.

Key Benefits of Buying the Report:

The report will help the market leaders/new entrants in this market with the information on the closest approximations of the revenue numbers for the overall sensor fusion market for automotive and the sub-segments. This report will help stakeholders understand the competitive landscape and gain insights to better position their businesses and plan suitable go-to-market strategies. The report also helps stakeholders understand the pulse of the market and provides them with information on key market drivers, restraints, challenges, and opportunities.

Sensor fusion is the capacity to convey collectively inputs from a couple of radars, lidars and cameras to shape a unmarried version or photo of the surroundings round a car. The ensuing version is greater correct as it balances the strengths of the distinctive sensors. Vehicle structures can then use the records furnished via sensor fusion to assist greater-smart actions.

Each sensor kind, or “modality,” has inherent strengths and weaknesses. Radars are very robust at as it should be figuring out distance and speed — even in difficult climate conditions — however can’t examine road symptoms and symptoms or “see” the colour of a stoplight. Cameras do thoroughly studying symptoms and symptoms or classifying items, which include pedestrians, bicyclists or different vehicles. However, they could without problems be blinded with the aid of using dirt, sun, rain, snow or darkness. Lidars can as it should be discover items, however they don’t have the variety or affordability of cameras or radar.

Sensor fusion brings the information from every of those sensor sorts collectively, the use of software program algorithms to offer the maximum comprehensive, and consequently correct, environmental version possible. It also can correlate information pulled from in the cabin, via a procedure called indoors and outside sensor fusion.

A car may want to use sensor fusion to fuse records from a couple of sensors of the equal kind as well — for instance, radar. This improves belief with the aid of using taking gain of partly overlapping fields of view. As a couple of radars have a look at the surroundings round a car, a couple of sensor will discover items on the equal time. Interpreted via worldwide 360° belief software program, detections from the ones a couple of sensors may be overlapped or fused, growing the detection possibility and reliability of items across the car and yielding a greater correct and dependable illustration of the surroundings.

Sensor fusion software program is a whole 9-axis fusion answer which mixes the measurements from 3-axis gyroscope, 3-axis geomagnetic sensor and a 3-axis accelerometer to offer a sturdy absolute orientation vector. The sensor fusion software program BSX offers orientation data in shape of quaternion or Euler angles.

The set of rules fuses the sensor uncooked statistics from 3-axis accelerometer, 3-axis geomagnetic sensor and 3-axis gyroscope in an clever manner to enhance every sensor’s output. This consists of algorithms for offset calibration of every sensor, tracking of the calibration reputation and Kalman clear out out fusion to offer distortion-unfastened and subtle orientation vectors. Since Bosch Sensortec 9-axis fusion software program is evolved collectively with the sensor hardware, optimized overall performance in phrases of dynamics and immunity to distortion results is achieved.

Direct get admission to to the Bosch sensor hardware lets in the person to set use case precise operation modes concerning statistics charges and noise thresholds. The answer offers a ready-to-use superior 9-axis sensor fusion gadget which reduces the complexity for clients and allows in fast improvement of superior sensor applications.

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