The sensor fusion market for automotive size is anticipated to grow at a CAGR of 26% during the forecast period reaching about $ 22.5 billion by 2030. The demand for the sensor fusion market for automotive is anticipated to be driven by factors such as the implementation of rigorous safety laws, the rising popularity of high-end and luxury automobiles, and the rising popularity of advanced driver assistance systems (ADAS).

The presence of multiple competing software architectures is one of the primary factors holding the sensor fusion industry for cars back. Standardization is essential to addressing the difficulties associated with the development of automated driving operations, particularly SAE J3016 automation levels 3-5. The expenses of development and validation can be cut to a large extent if some components of the complicated hardware and software configuration required for automated driving tasks are standardised. Some of the most important enablers for automated driving are sensors that can detect the environment around the vehicle as well as networked models of that environment. The standardisation of sensor interfaces that serve as an input to environmental models or data fusion algorithms, which in turn serve as an input for automated driving functions equivalent to or greater than SAE level 3, is the primary focus of attention at the moment. The original equipment manufacturers (OEMs), suppliers, service providers, and tool providers can save their costs and the amount of time it takes to create and validate autonomous driving features by using the standardised sensor interfaces that are produced as a result.

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The ecosystem of the market includes raw materials suppliers, component/part manufacturers, sensor fusion makers, and original equipment manufacturers (OEMs). Sensors are composed of several types of semiconductors, including silicon, silicon carbide, gallium arsenide, and others. Silicon is used in piezoresistive sensors because it and related materials have the potential to serve as sensor carriers and provide other advantages. The sensor fusion hardware platform is then designed by the producers of sensor fusion products and system integrators after they have sourced the necessary parts and components from various suppliers. Also, after that, developers of sensor fusion software collaborate with providers of sensor fusion hardware to devise an algorithm that is tailored to the specifications of the OEM. After that, the OEMs immediately deploy and install these technologies in their respective car models.

Middleware segmented held the largest share of revenues in 2021. This segment is expected to have the greatest CAGR from 2023 to 2030. Middleware connects numerous units. As cars become mobile computer platforms, middleware will allow customization and software installation and upgrades. Middleware will work with ECU hardware in a vehicle to enable abstraction, virtualization, and distributed computing. As ADAS capabilities improves, automakers choose adaptable middleware systems.Feature fusion is expected to have the highest CAGR during the forecast period. Most cars use feature fusion, a type of fusion. Feature-level fusion requires extracting features from sensor input images. Pixel intensities, edges, and textures can also be inputs. The feature fusion level extracts edges, areas, shapes, widths, lengths, and picture segments. It also pulls features from the to-be-fused images with comparable intensity levels. Feature fusion improves the direction of linked feature values from many techniques. Feature fusion discovers a group of traits that can boost system accuracy.

At level 3, the driver is able to take control of the vehicle in the event that the automated driving feature fails to function properly or if it reaches the limitations of its capabilities. The architecture of the automated vehicle needs to be reliable so that it can manage dangerous scenarios. Furthermore, in the sense, forecast, and act stages of the autonomous chain, fail-operation behaviour is an absolutely necessary component. Components including as safety controllers, sensors, radar, LiDAR, cameras, and computer platforms are being integrated into the design of future vehicles in order to achieve this level of fail-safe operation.Though currently L4 automated vehicles have not been commercialized. The growth of the autonomous vehicle sensor fusion market is anticipated to be driven by developments in platforms connected to L4 post commercial launch of these vehicle by 2024 to 2025. Magna, a leading developer of ADAS solutions, developed Max 4, an autonomous driving platform that is ready for industrial use. It is a fully integrated, adaptable, and scalable platform for autonomous driving sensing and computations, and it has the potential to provide up to level 4 capabilities of autonomous driving in both urban and highway environments.

During the forecast period, the Asia-Pacific region is anticipated to represent the largest market for sensor fusion in the automotive sector. It is anticipated that the market in Asia Pacific will expand as a result of the growing usage of advanced ADAS features such as automated emergency braking (AEB), lane departure warning (LDW), adaptive cruise control (ACC), and other similar technologies. The sensor fusion markets in China and Japan are now the largest in the Asia Pacific area. The rising rate of vehicle production in combination with severe safety requirements that require ADAS capabilities to be included in vehicle models is the primary driver that is driving change in these two countries. The market in the region is anticipated to be driven by the increasing demand for premium and luxury automobiles, as well as the improvements in sensor fusion hardware. It is anticipated that countries in the Rest of Asia Pacific will experience significantly slower adoption due to the price-sensitive nature of sensor fusion in these markets as well as the absence of infrastructure necessary for its efficient operation in these countries.

The market for automotive sensor fusion is dominated by a few worldwide manufacturers, however, has significant scope for new entrants. Post the commercial success and launch of L3 and L4 vehicles, many industry players are expected to enter the market. Robert Bosch GmbH (Germany), ZF Friedrichshafen AG (Germany), Continental AG (Germany), NXP Semiconductors N.V.v (Netherlands), Infineon Technologies (Germany), and Denso Corporation (Japan), Aptiv (Ireland), and ST Microelectronics are some of the key players in the sensor fusion market for automotive.

Key Market Trends

• The sensor fusion market for automotive size is anticipated to grow at a CAGR of 26% during the forecast period reaching about $ 22.5 billion by 2030.
• Middleware segmented held the largest share of revenues in 2021. This segment is expected to have the greatest CAGR from 2023 to 2030.
• Feature fusion is expected to have the highest CAGR during the forecast period.
• The growth of the autonomous vehicle sensor fusion market is anticipated to be driven by developments in platforms connected to L4 post commercial launch of these vehicle by 2024 to 2025.
• During the forecast period, the Asia-Pacific region is anticipated to represent the largest market for sensor fusion in the automotive sector.
• The market for automotive sensor fusion is dominated by a few worldwide manufacturers, however, has significant scope for new entrants. Post the commercial success and launch of L3 and L4 vehicles, many industry players are expected to enter the market.
• Robert Bosch GmbH (Germany), ZF Friedrichshafen AG (Germany), Continental AG (Germany), NXP Semiconductors N.V.v (Netherlands), Infineon Technologies (Germany), and Denso Corporation (Japan), Aptiv (Ireland), and ST Microelectronics are some of the key players in the sensor fusion market for automotive.

*Complete segmentation list is on report page