Sensor Fusion Market for Automotive by Technology (Camera, LIDAR & RADAR), Data Fusion Type & Level (Homogeneous, Heterogeneous, Data, Decision, Feature), Software Layer, Vehicle Type (ICE, Autonomous & Electric) and Region-Global Forecast to 2030
Estimated at $2.9 billion in 2021, the sensor fusion market for automotive size is projected to reach $22.2 billion by 2030, growing at a CAGR of 25.4% during the forecast period.
Factors such as rollout of stringent safety regulations, adoption of high-end and luxury cars, and growing adoption of advanced ADAS are expected to drive the demand for the sensor fusion market for automotive.
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Impact of Covid-19 on Sensor fusion market for automotive
The automotive industry plays a crucial role in building the global economy. However, the COVID-19 outbreak disrupted the entire automotive supply chain on a global scale during the second and third quarters of 2020, impacting new vehicle sales in FY 2020. According to OICA and MarketsandMarkets analysis, vehicle production (including LDV and HDV) witnessed a decline of 19.6% in 2020. The pandemic presented an uncertain recovery timeline for the automotive industry due to lockdowns and shutdown of manufacturing facilities in various parts of the world. The automotive industry faced four major challenges amid COVID-19—limited supply of vehicle parts, reduced sales of new vehicles, the shutdown of production facilities, and a decline in working capital. As the sensor fusion market for automotive is dependent on the production of vehicles, this market is expected to be impacted due to the outbreak. However, according to various industry experts, the recovery may regain momentum by the second half of 2021.
Sensor fusion market for automotive Dynamics
Driver: Technical advantages offered by sensor fusion
Sensor fusion is gaining popularity in automobiles, particularly due to the various technical benefits it offers. According to Aptiv, sensor fusion brings the data from various sensors together, using software algorithms to provide the most comprehensive, and therefore accurate, environmental model possible. Another major benefit of sensor fusion is increased data sharing. In conventional systems, sensors process inputs independently, which means decisions made by the system are only as good as what individual sensors can see. But with sensor fusion, inputs are fused from different sensors such as camera, LiDAR, and radar. Thus, multiple data sharing leads to better decisions, enhancing the safety of the vehicle.
Another benefit is reduced latency. The domain controller of the sensor fusion system does not have to wait for individual sensors to process data before acting on it. This helps accelerate performance where even fractions of a second count, enhancing the safety of the driver.
Restraint: Lack of standardization in software architecture/hardware platform sign development and maintenance costs
One of the major restraints in the sensor fusion market for automotive is the competing software architectures. Standardization is key to overcoming the challenges of developing automated driving functions, especially SAE J3016 automation level 3-5. By standardizing subsections of the complex hardware and software setup for automated driving functions, the development and validation costs can be reduced to a significant extent. Sensors that detect the vehicle’s environment and its connected environmental models are considered major enablers for automated driving. The current focus is on the standardization of sensor interfaces that serve as an input to environmental models or data fusion algorithms, which in turn serve as the input for automated driving functions equal or greater than SAE level 3. With the resulting standardized sensor interfaces, OEMs, suppliers, service providers, and tool providers can reduce their costs as well as the time taken for the development and validation of automated driving functions.
Opportunities: Development of Autonomous Vehicles
Autonomous vehicles require sensors such as cameras, radar, and LiDAR units to view and evaluate their surroundings. They also require computing power and artificial intelligence to analyze multidimensional obstacles and often need multisource data inputs to provide the vehicle with a holistic and unified view of the surroundings in real-time within fractions of a second. To meet all these requirements, sensor fusion is a requisite in autonomous vehicles.
At level 3, the driver can take over the task of driving in case of system failure or if the automated driving feature reaches its operational limits. The automated vehicle architecture must be robust to handle safety-critical situations. And for this, fail-operation behavior is vital in the sense, predict, and act stages of the autonomous chain. To achieve this level of fail-safe operation, components like safety controllers, sensors, radar, LiDAR, cameras, and computing platforms are being integrated into future cars.
Challenges: Malfunctioning of electronic braking systems
Self-driving cars are prone to hacking due to the presence of numerous electronic components. Hackers can impede self-driving cars by mimicking another person or another car in front of it. This paralyzes the software platform to take timely action. Hackers can also take control of various applications such as infotainment systems, adaptive cruise control, and emergency braking systems as they are prone to hacking. For instance, in 2015, Fiat Chrysler recalled around 1.4 million vehicles due to safety reasons. Hackers took control of the cars’ infotainment system, which was connected to the mobile data network. Security researchers demonstrated that it was possible for hackers to control a jeep Cherokee remotely, with the car’s infotainment system which was connected to the mobile data network.
Sensor Fusion Market For Automotive Ecosystem
The market ecosystem comprises raw materials suppliers, component/part manufacturers, sensor fusion manufacturers, and OEMs. Sensors are made of semiconductors made of silicon, silicon carbide, and gallium arsenide, etc. Piezoresistive sensors are composed of silicon because these materials can act as sensor carriers and offer other benefits. Sensor fusion manufacturers/system integrators then procure these parts/components from suppliers and design a sensor fusion hardware platform. Also, then sensor fusion software developers design an algorithm in cooperation with sensor fusion hardware providers, according to OEM requirements. OEMs then directly deploy these systems and install them in their vehicle models.
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Middleware is expected to be the largest and fastest market, by software layer
Today, middleware facilitates communication across various units. However, as vehicles continue to evolve into mobile computing platforms, middleware will make it possible to configure cars and enable installation and upgrades of vehicle software. In the future, middleware is expected to operate with ECU hardware in a car and will enable abstraction, virtualization, and distributed computing. Additionally, due to advancements in ADAS features, automakers are moving toward more flexible middleware architectures. For instance, AUTOSTAR’s adaptive platform is a dynamic system that includes middleware, support for operating systems, and multicore processors. Ongoing developments and the availability of various middleware software has driven the popularity of this segment. For instance, Tata Elxsi’s autonomai is a middleware for advanced ADAS applications that offers easy porting, optimization, integration & testing of customer systems, subsystems, and algorithms. It also supports a combination of multiple sensors (LiDAR, radar, ultrasonic sensors, cameras) to suit customer requirements. It enables rapid region-specific adaptation through pre-integrated validation datasets and AI & deep learning capabilities.
Feature market is expected to be the fastest-growing in the forecast period
Feature fusion is the most widely used fusion level in automobiles. Fusion at the feature level requires the extraction of features from input images from sensors. Feature inputs can be pixel intensities or edge and texture features. The feature fusion level involves the extraction of features like edges, regions, shape, size, length, or image segments. It also extracts features with similar intensity in the images to be fused within the same geographic area. The primary benefit of feature fusion is the direction of correlated feature values generated by different algorithms, thereby identifying a set of features that can improve the accuracy of the system. Asia Pacific is expected to be the fastest-growing market for feature fusion, followed by North America. The main factor driving the market is the technical advantages offered by it and the preference of OEMs for feature fusion. Also, with the development of advanced ADAS features, the need to identify coordinates of objects/obstacles becomes higher. Feature fusion offers the functions required for such advanced automated driving functions. Thus, in the coming years, the market for feature fusion is expected to register a boost.
L4 autonomous vehicles sensor fusion market is expected to be the largest market in the forecast period
Presently, L4 vehicles have not been commercially launched due to various challenges such as lack of infrastructure, government regulations, etc. It is estimated that these vehicles will be in the market by 2024. As all L4 vehicles have 100% penetration of sensor fusion, their launches are expected to generate significant opportunities for sensor fusion software developers and associated component manufacturers.
Developments in L4 related platforms are expected to drive the autonomous vehicle sensor fusion market. Magna, a major ADAS solution provider, developed Max 4, a production-ready autonomous driving platform. It is a fully integrated, customizable, and scalable autonomous driving sensing and computes platform that can enable up to level 4 autonomous driving capabilities in both, urban and highway.
Asia Pacific is expected to lead the market during the forecast period
Asia Pacific is projected to be the largest market for sensor fusion market for automotive during the forecast period. The market in Asia Pacific is expected to grow due to increasing adoption of advanced ADAS features such as automated emergency braking (AEB), lane departure warning (LDW), adaptive cruise contro, (ACC), etc. China and Japan are the largest sensor fusion markets in the Asia Pacific region. The major driving factor in these two countries is the increasing vehicle production coupled with stringent safety regulations mandating ADAS features in vehicle models. The growing demand for premium and luxury cars, as well as the developments in sensor fusion hardware, are expected to drive the market in the region. Countries in the Rest of Asia Pacific are expected to register relatively slower adoption because of the cost-sensitive nature and lack of infrastructure for the proper functioning of sensor fusion in these markets.
Key Market Players
The sensor fusion market for automotive is non-fragmented and dominated by a few global players and several regional players. Some of the key players in the sensor fusion market for automotive are 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), ST Microelectronics (Japan).
These companies have strong distribution networks at a global level and offer an extensive product range. They have adopted strategies of new product development, acquisition, and contracts & partnerships to sustain their market position.
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|
Report Metric |
Details |
|
Market size available for years |
2019–2030 |
|
Base year considered |
2020 |
|
Forecast period |
2021–2030 |
|
Forecast units |
Value (USD Million) and Volume (‘000 Units) |
|
Segments covered |
By technology, data fusion type, data fusion level, vehicle type, EV type, autonomous vehicle, sensor type, application, sensor fusion environment, and region. |
|
Geographies covered |
Asia Pacific, North America, Europe, and Rest of the World |
|
Companies covered |
Robert Bosch GmbH (Germany), ZF Friedrichshafen AG (Germany), Continental AG (Germany), NXP Semiconductors N.V. (Netherlands), Infineon Technologies (Germany), Denso Corporation (Japan), Aptiv (Ireland), ST Microelectronics (Japan), and Allergo Microsystems (US), Elmos Semiconductor SE (Germany). |
This research report categorizes the sensor fusion market for automotive based on technology, data fusion type, data fusion level, vehicle type, EV type, autonomous vehicle, sensor type, application, sensor fusion environment, and region.
Based on Technology, the market has been segmented as follows:
- Camera
- Radar
- LiDAR
Based on Data Fusion Type, the market has been segmented as follows:
- Homogeneous
- Heterogeneous
Based on Vehicle Type, the market has been segmented as follows:
- Passenger Car
- Light-commercial Vehicles (LCV)
- Truck
- Bus
Based on Data Fusion level, the market has been segmented as follows:
- Feature
- Decision
- Data
Based on Software Layer, the market has been segmented as follows:
- Operating System
- Middleware
- Application Software
Based on Electric Vehicle, the market has been segmented as follows:
- BEV
- PHEV
- FCEV
Based on Autonomous Vehicle, the market has been segmented as follows:
- L4
- L5
Based on Sensor Type, the market has been segmented as follows:
- Temperature
- Pressure
- Oxygen
- NOx,
- Speed
- Inertial
- Image
- Position
- Other sensors
Based on Application, the market has been segmented as follows:
- Powertrain & Drivetrain
- Safety & Body control
- Exhaust
- Infotainment
- Navigation & Telematics
Based on Sensor Fusion Environment, the market has been segmented as follows:
- External
- Internal
Based on region, the market has been segmented as follows:
-
Asia Pacific
- China
- India
- Japan
- South Korea
- Rest of Asia Pacific
-
North America
- US
- Canada
- Mexico
-
Europe
- France
- Germany
- Italy
- Spain
- Russia
- UK
- Rest of Europe
-
Rest of the World
- Brazil
- South Africa
- Rest of RoW
Recent Developments
- In July 2021, Bosch teamed with Microsoft to develop a software platform to connect cars to the cloud seamlessly. The new platform is based on Microsoft Azure and uses software modules from Bosch, enabling software to be developed and downloaded to the control units and vehicle computers.
- In April 2021, Continental AG offers new radar sensors for 360-degree coverage with a longer range. The sixth-generation sensor has been created as a modular system with less complexity allowing for potential expenditure, cost savings, and increased performance. Improved object detection, range, availability, and responsivity surround radar is specially designed for 360-Degree environmental detection with an approximate range of 200 meters. Long-range radar covers predictive applications for NCAP requirements for automated driving functions.
- In December 2020, NXP Semiconductors N.V. announced a complete suite of new radar sensor chipset solutions that can surround vehicles in a 360-degree safety cocoon and enable the identification and classification capabilities of imaging radar.
- In June 2021, STMicroelectronics launched ALED6000, a single-chip automotive LED driver with an integrated DC/DC converter. It is a low-BoM (Bill of Materials) solution that allows design flexibility and keeps the lighting intensity consistent as electrical conditions within the vehicle fluctuate. It is suitable for exterior lighting such as daytime running lights, headlights, rear lights, stop lights, turn signals, and interior lighting. The ALED6000 drives a single string of LEDs at up to 3A and has a wide input-voltage range of 4.5V to 61V.
- In June 2021, Infineon Technologies offers a wide variety of products for an ultra-wideband, ultra-low power, and cost-performance scalable architecture for ICMS sub-systems. The devices support the use of new signal processing techniques enabling robustness and a good compromise between computational costs, the degree of information, and the power consumption of the system
Frequently Asked Questions (FAQ):
What is the current size of the sensor fusion market for automotive?
The sensor fusion market for automotive is estimated to be USD 2.9 billion in 2021 and is projected to reach USD 22.2 billion by 2030 at a CAGR of 25.4%.
Who are the top key players in the sensor fusion market for automotive?
The sensor fusion market for automotive is dominated 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), ST Microelectronics (Japan). These companies focus on developing new products, adopt expansion strategies and undertake collaborations, partnerships, and mergers & acquisitions to gain traction in this growing sensor fusion market for automotive.
What is the COVID-19 impact on the sensor fusion market for automotive?
ICE vehicle production remained significantly disrupted by the COVID-19 pandemic. The global production of vehicles pre-COVID was expected to grow from ~90-95 million units in 2020 to ~110-115 million units by 2025, with the Asia Pacific and North America being major markets in the passenger car segment. Due to COVID-19, most of the countries implemented complete lockdowns for more than two months, which, in turn, impacted vehicle production. Manufacturing units around the world were shut down, thus impacting production on a global scale. Although a few OEMs resumed partial production during the later quarters of 2020, the sensor fusion market for automotive declined significantly in 2020.
What are the trends in the sensor fusion market for automotive?
Currently, only premium and luxury cars deploy sensor fusion with advanced ADAS features. As of now, only cameras and radar are used in vehicles for sensor fusion. LiDAR is expected to be used in conjunction with cameras and radar by 2023.
What is the future of the sensor fusion market for automotive?
Growing popularity of advanced ADAS features globally, growing sales of premium and luxury cars, and developments in sensor fusion hardware and software is expected to drive sensor fusion market for automotive. .
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TABLE OF CONTENTS
1 INTRODUCTION (Page No. - 24)
1.1 OBJECTIVES OF THE STUDY
1.2 MARKET DEFINITION
1.2.1 INCLUSIONS & EXCLUSIONS
1.3 MARKET SCOPE
FIGURE 1 SENSOR FUSION MARKET FOR AUTOMOTIVE SEGMENTATION
FIGURE 2 MARKET FOR AUTOMOTIVE: BY REGION
2 RESEARCH METHODOLOGY (Page No. - 27)
2.1 RESEARCH DATA
FIGURE 3 RESEARCH DESIGN
FIGURE 4 RESEARCH METHODOLOGY MODEL
2.1.1 SECONDARY DATA
2.1.1.1 List of key secondary sources
2.1.1.2 List of key secondary sensor fusion sources
2.1.1.3 Key data from secondary sources
2.1.2 PRIMARY DATA
FIGURE 5 BREAKDOWN OF PRIMARY INTERVIEWS: BY STAKEHOLDER, DESIGNATION, AND REGION
2.1.2.1 Primary participants
2.1.2.2 List of primary participants
2.2 MARKET ESTIMATION METHODOLOGY
FIGURE 6 RESEARCH METHODOLOGY: HYPOTHESIS BUILDING
2.2.1 BOTTOM-UP APPROACH
FIGURE 7 MARKET FOR AUTOMOTIVE: BOTTOM-UP APPROACH (ICE, EV, AND AUTONOMOUS VEHICLES)
2.2.2 TOP-DOWN APPROACH
FIGURE 8 MARKET FOR AUTOMOTIVE: TOP-DOWN APPROACH (BY DATA FUSION LEVEL AND TYPE)
FIGURE 9 MARKET FOR AUTOMOTIVE: RESEARCH DESIGN & METHODOLOGY
2.2.3 FACTOR ANALYSIS FOR MARKET SIZING: DEMAND AND SUPPLY-SIDE
2.3 DATA TRIANGULATION
FIGURE 10 DATA TRIANGULATION METHODOLOGY
2.4 FACTOR ANALYSIS
2.5 RESEARCH ASSUMPTIONS
2.5.1 GLOBAL ASSUMPTIONS
2.5.2 MARKET ASSUMPTIONS
2.6 RESEARCH LIMITATIONS
3 EXECUTIVE SUMMARY (Page No. - 41)
3.1 PRE & POST COVID-19 SCENARIO
FIGURE 11 PRE- & POST-COVID-19 SCENARIO: SENSOR FUSION MARKET FOR AUTOMOTIVE, 2019-2030 (USD MILLION)
TABLE 1 MARKET FOR AUTOMOTIVE: PRE- VS. POST-COVID-19 SCENARIO, 2019–2030 (USD MILLION)
3.2 REPORT SUMMARY
FIGURE 12 MARKET FOR AUTOMOTIVE: MARKET OUTLOOK
FIGURE 13 SENSOR FUSION MARKET FOR ICE VEHICLES, 2021 VS. 2030
4 PREMIUM INSIGHTS (Page No. - 46)
4.1 ATTRACTIVE OPPORTUNITIES IN SENSOR FUSION MARKET FOR AUTOMOTIVE
FIGURE 14 STRINGENT SAFETY STANDARDS AND GROWING POPULARITY OF PREMIUM VEHICLES TO DRIVE SENSOR FUSION MARKET FOR AUTOMOTIVE
4.2 MARKET FOR AUTOMOTIVE, BY DATA FUSION TYPE
FIGURE 15 HETEROGENEOUS DATA FUSION TO HOLD LARGEST MARKET SHARE IN 2021
4.3 MARKET FOR AUTOMOTIVE, BY VEHICLE TYPE
FIGURE 16 PASSENGER CARS PROJECTED TO LEAD SENSOR FUSION MARKET FOR AUTOMOTIVE BY 2030
4.4 MARKET FOR AUTOMOTIVE, BY TECHNOLOGY
FIGURE 17 CAMERAS ESTIMATED TO BE LARGEST SEGMENT IN 2021
4.5 MARKET FOR AUTOMOTIVE, BY FUSION LEVEL
FIGURE 18 FEATURE FUSION EXPECTED TO COMMAND LARGEST SHARE DURING FORECAST PERIOD
4.6 SENSOR FUSION MARKET FOR AUTONOMOUS VEHICLES, BY LEVEL OF AUTONOMY
FIGURE 19 L5 SEGMENT TO SHOWCASE HIGHEST CAGR DURING FORECAST PERIOD
4.7 SENSOR FUSION MARKET FOR ELECTRIC VEHICLES, BY VEHICLE TYPE
FIGURE 20 BEV SEGMENT TO BE LARGEST DURING FORECAST PERIOD
4.8 MARKET FOR AUTOMOTIVE, BY REGION
FIGURE 21 ASIA PACIFIC TO DOMINATE MARKET DURING FORECAST PERIOD
5 MARKET OVERVIEW (Page No. - 50)
5.1 INTRODUCTION
5.2 MARKET DYNAMICS
FIGURE 22 SENSOR FUSION MARKET FOR AUTOMOTIVE: MARKET DYNAMICS
5.2.1 DRIVERS
5.2.1.1 Technical advantages offered by sensor fusion
TABLE 2 PROPERTIES OF VARIOUS SENSORS (SENSOR FUSION)
5.2.1.2 Stringent emission standards regarding NOx and particulate matter
TABLE 3 EURO-5 VS. EURO-6 VEHICLE EMISSION STANDARDS ON NEW EUROPEAN DRIVING CYCLE
TABLE 4 ON-ROAD VEHICLE EMISSION REGULATION OUTLOOK FOR PASSENGER CARS, 2016–2021
5.2.2 RESTRAINTS
5.2.2.1 Lack of standardization in software architecture/hardware platforms
FIGURE 23 OVERALL APPROACH FOR SENSOR INTERFACE STANDARDIZATION CONSIDERS DIFFERENT STANDARDIZATION LEVELS
5.2.3 OPPORTUNITIES
5.2.3.1 Development of autonomous vehicles
FIGURE 24 DEMAND FOR AUTONOMOUS CARS (L4 AND L5), 2027 VS. 2030 (‘000 UNITS)
5.2.4 CHALLENGES
5.2.4.1 Security and safety concerns
5.2.5 IMPACT OF COVID-19 ON MARKET FOR AUTOMOTIVE
5.3 TRENDS/DISRUPTIONS IMPACTING CUSTOMER’S BUSINESS
FIGURE 25 REVENUE SHIFT FOR MARKET FOR AUTOMOTIVE
5.4 PRICING ANALYSIS
TABLE 5 MARKET FOR AUTOMOTIVE: AVERAGE OE PRICE RANGE (USD) ANALYSIS, BY TECHNOLOGY, 2021
5.5 VALUE CHAIN ANALYSIS
FIGURE 26 VALUE CHAIN ANALYSIS: MARKET FOR AUTOMOTIVE
5.6 PATENT ANALYSIS
5.7 ECOSYSTEM/MARKET MAP
TABLE 6 SENSOR FUSION MARKET: ECOSYSTEM
5.8 MARKET FOR AUTOMOTIVE, SCENARIOS (2019–2030)
FIGURE 27 MARKET FOR AUTOMOTIVE: COVID-19 SCENARIOS ANALYSIS
5.8.1 MOST LIKELY SCENARIO
TABLE 7 MOST LIKELY SCENARIO: MARKET FOR AUTOMOTIVE, BY REGION, 2019–2030 (USD MILLION)
5.8.2 HIGH COVID-19 IMPACT SCENARIO
TABLE 8 HIGH IMPACT SCENARIO: MARKET FOR AUTOMOTIVE, BY REGION, 2019–2030 (USD MILLION)
5.8.3 LOW COVID-19 IMPACT SCENARIO
TABLE 9 LOW IMPACT SCENARIO: MARKET FOR AUTOMOTIVE, BY REGION, 2019–2030 (USD MILLION)
5.9 PORTER’S FIVE FORCES ANALYSIS
TABLE 10 PORTER’S 5 FORCES IMPACT ON THE MARKET FOR AUTOMOTIVE
FIGURE 28 PORTER’S FIVE FORCES ANALYSIS
5.9.1 THREAT OF NEW ENTRANTS
5.9.2 THREAT OF SUBSTITUTES
5.9.3 BARGAINING POWER OF SUPPLIERS
5.9.4 BARGAINING POWER OF BUYERS
5.9.5 INTENSITY OF COMPETITIVE RIVALRY
6 SENSOR FUSION MARKET FOR AUTOMOTIVE, BY ENVIRONMENT (Page No. - 67)
6.1 INTRODUCTION
6.2 INTERNAL SENSORS
6.3 EXTERNAL SENSORS
7 SENSOR FUSION FOR AUTOMOTIVE: ALGORITHMS (Page No. - 69)
7.1 INTRODUCTION
7.2 KALMAN FILTER
7.3 BAYESIAN FILTER
7.4 CENTRAL LIMIT THEOREM
7.5 CONVOLUTIONAL NEURAL NETWORKS
8 SENSOR FUSION MARKET FOR AUTOMOTIVE, BY TECHNOLOGY (Page No. - 71)
8.1 INTRODUCTION
8.1.1 RESEARCH METHODOLOGY
8.1.2 ASSUMPTIONS/LIMITATIONS
8.1.3 INDUSTRY INSIGHTS
FIGURE 29 MARKET FOR AUTOMOTIVE, BY TECHNOLOGY, 2021 VS. 2030 (USD MILLION)
TABLE 11 MARKET FOR AUTOMOTIVE, BY TECHNOLOGY, 2019–2030 (‘000 UNITS)
TABLE 12 MARKET FOR AUTOMOTIVE, BY TECHNOLOGY, 2019–2030 (USD MILLION)
8.2 CAMERAS
8.2.1 TECHNICAL ADVANTAGES SUCH AS READING SIGNS & CLASSIFYING OBJECTS BOOST DEMAND FOR CAMERAS
TABLE 13 CAMERAS: MARKET FOR AUTOMOTIVE, BY REGION, 2019–2030 (‘000 UNITS)
TABLE 14 CAMERAS: MARKET FOR AUTOMOTIVE, BY REGION, 2019–2030 (USD MILLION)
8.3 RADAR
8.3.1 AFFORDABILITY AND CLARITY IN CHALLENGING CONDITIONS EXPECTED TO DRIVE RADAR DEMAND
TABLE 15 RADAR: MARKET FOR AUTOMOTIVE, BY REGION, 2019–2030 (‘000 UNITS)
TABLE 16 RADAR: MARKET FOR AUTOMOTIVE, BY REGION, 2019–2030 (USD MILLION)
8.4 LIDAR
8.4.1 ENHANCED OBSTACLE DETECTION & SAFE NAVIGATION BOOST APPLICATION IN VEHICLES
TABLE 17 LIDAR: MARKET FOR AUTOMOTIVE, BY REGION, 2019–2030 (‘000 UNITS)
TABLE 18 LIDAR: MARKET FOR AUTOMOTIVE, BY REGION, 2019–2030 (USD MILLION)
9 SENSOR FUSION MARKET FOR AUTOMOTIVE, BY FUSION LEVEL (Page No. - 78)
9.1 INTRODUCTION
9.1.1 RESEARCH METHODOLOGY
9.1.2 ASSUMPTIONS/LIMITATIONS
9.1.3 INDUSTRY INSIGHTS
FIGURE 30 MARKET FOR AUTOMOTIVE, BY FUSION LEVEL, 2021 VS. 2030 (USD MILLION)
TABLE 19 MARKET FOR AUTOMOTIVE, BY FUSION LEVEL, 2019–2030 (USD MILLION)
9.2 FEATURE FUSION
9.2.1 ACCURACY OF FEATURE LEVEL FUSION DRIVES ITS POPULARITY
TABLE 20 AUTOMOTIVE FEATURE FUSION MARKET, BY REGION, 2019–2030 (USD MILLION)
9.3 DECISION FUSION
9.3.1 DEVELOPMENTS IN ALGORITHMS FOR DECISION FUSION BOOST GROWTH
TABLE 21 AUTOMOTIVE DECISION FUSION MARKET, BY REGION, 2019–2030 (USD MILLION)
9.4 DATA FUSION
9.4.1 LOWER DETECTION ERROR PROBABILITY DRIVES SEGMENT GROWTH
TABLE 22 AUTOMOTIVE DATA FUSION MARKET, BY REGION, 2019–2030 (USD MILLION)
10 SENSOR FUSION MARKET FOR AUTOMOTIVE, BY VEHICLE TYPE (Page No. - 83)
10.1 INTRODUCTION
10.1.1 RESEARCH METHODOLOGY
10.1.2 ASSUMPTIONS/LIMITATIONS
10.1.3 INDUSTRY INSIGHTS
FIGURE 31 MARKET FOR AUTOMOTIVE, BY VEHICLE TYPE, 2021 VS. 2030 (USD MILLION)
TABLE 23 MARKET FOR AUTOMOTIVE, BY VEHICLE TYPE, 2019–2030 (‘000 UNITS)
TABLE 24 MARKET FOR AUTOMOTIVE, BY VEHICLE TYPE, 2019–2030 (USD MILLION)
10.2 PASSENGER CARS
10.2.1 IMPLEMENTATION OF REGULATIONS TO MAKE ADAS STANDARD IN PASSENGERS CARS DRIVES SEGMENT
TABLE 25 PASSENGER CARS: SENSOR FUSION MARKET, BY REGION, 2019–2030 (‘000 UNITS)
TABLE 26 PASSENGER CARS: SENSOR FUSION MARKET, BY REGION, 2019–2030 (USD MILLION)
10.3 LIGHT COMMERCIAL VEHICLES (LCV)
10.3.1 SAFETY REGULATIONS TO REDUCE ACCIDENTS BOOSTS ADOPTION OF SENSOR FUSION IN LCVS
TABLE 27 LIGHT COMMERCIAL VEHICLES: SENSOR FUSION MARKET, BY REGION, 2019–2030 (‘000 UNITS)
TABLE 28 LIGHT COMMERCIAL VEHICLES: SENSOR FUSION MARKET, BY REGION, 2019–2030 (USD MILLION)
10.4 HEAVY COMMERCIAL VEHICLES (HCV)
10.4.1 SEGMENT DRIVEN BY ADOPTION OF ADAS FEATURES IN HCVS
TABLE 29 HEAVY COMMERCIAL VEHICLES: SENSOR FUSION MARKET, BY REGION, 2019–2030 (‘000 UNITS)
TABLE 30 HEAVY COMMERCIAL VEHICLES: SENSOR FUSION MARKET, BY REGION, 2019–2030 (USD MILLION)
11 SENSOR FUSION MARKET FOR AUTOMOTIVE, BY DATA FUSION TYPE (Page No. - 90)
11.1 INTRODUCTION
11.1.1 RESEARCH METHODOLOGY
11.1.2 ASSUMPTIONS/LIMITATIONS
11.1.3 INDUSTRY INSIGHTS
FIGURE 32 MARKET FOR AUTOMOTIVE, BY DATA FUSION TYPE, 2021 VS. 2030 (USD MILLION)
TABLE 31 MARKET FOR AUTOMOTIVE, BY DATA FUSION TYPE, 2019–2030 (USD MILLION)
11.2 HOMOGENOUS
11.2.1 HOMOGENOUS FUSION TO WITNESS MODERATE GROWTH DURING FORECAST PERIOD
TABLE 32 HOMOGENOUS MARKET FOR AUTOMOTIVE, BY REGION, 2019–2030 (USD MILLION)
11.3 HETEROGENOUS
11.3.1 GROWING DEMAND FOR PREMIUM VEHICLES WITH SENSOR FUSION EXPECTED TO DRIVE DEMAND
TABLE 33 HETEROGENOUS MARKET FOR AUTOMOTIVE, BY REGION, 2019–2030 (‘000 UNITS)
12 SENSOR FUSION MARKET FOR AUTOMOTIVE, BY SOFTWARE LAYER (Page No. - 95)
12.1 INTRODUCTION
12.1.1 RESEARCH METHODOLOGY
12.1.2 ASSUMPTIONS/LIMITATIONS
12.1.3 INDUSTRY INSIGHTS
FIGURE 33 MARKET FOR AUTOMOTIVE, BY SOFTWARE LAYER, 2021 VS. 2030 (USD MILLION)
TABLE 34 MARKET FOR AUTOMOTIVE, BY SOFTWARE LAYER, 2019–2030 (USD MILLION)
12.2 OPERATING SYSTEM
12.2.1 ONGOING DEVELOPMENTS IN ADVANCED SOFTWARE OPERATING SYSTEMS DRIVE POPULARITY
TABLE 35 OPERATING SYSTEM: MARKET FOR AUTOMOTIVE, BY REGION, 2019–2030 (USD MILLION)
12.3 MIDDLEWARE
12.3.1 AVAILABILITY OF VARIOUS MIDDLEWARE EXPECTED TO BOOST MARKET
TABLE 36 MIDDLEWARE: MARKET FOR AUTOMOTIVE, BY REGION, 2019–2030 (USD MILLION)
12.4 APPLICATION SOFTWARE
12.4.1 DEVELOPMENTS IN APPLICATION SOFTWARE WITH MORE ADVANCED FEATURES EXPECTED TO DRIVE ADOPTION
TABLE 37 APPLICATION SOFTWARE: MARKET FOR AUTOMOTIVE, BY REGION, 2019–2030 (‘000 UNITS)
13 SENSOR FUSION MARKET FOR ELECTRIC VEHICLES, BY VEHICLE TYPE (Page No. - 101)
13.1 INTRODUCTION
13.1.1 RESEARCH METHODOLOGY
13.1.2 ASSUMPTIONS/LIMITATIONS
13.1.3 INDUSTRY INSIGHTS
FIGURE 34 ELECTRIC VEHICLE SENSOR FUSION MARKET, BY VEHICLE TYPE, 2021 VS. 2030 (USD MILLION)
TABLE 38 ELECTRIC VEHICLE SENSOR FUSION MARKET, BY VEHICLE TYPE, 2019–2030 (‘000 UNITS)
TABLE 39 ELECTRIC VEHICLE SENSOR FUSION MARKET, BY VEHICLE TYPE, 2019–2030 (USD MILLION)
13.2 BATTERY ELECTRIC VEHICLES (BEV)
13.2.1 REGULATIONS TO MANDATE ADAS FEATURES IN BEVS BOOST SEGMENT
TABLE 40 BEV: SENSOR FUSION MARKET, BY REGION, 2019–2030 (‘000 UNITS)
TABLE 41 BEV: SENSOR FUSION MARKET, BY REGION, 2019–2030 (USD MILLION)
13.3 PLUG-IN HYBRID ELECTRIC VEHICLES (PHEV)
13.3.1 INCREASING SALES OF PHEVS WITH ADAS FEATURES BOOST SEGMENT
TABLE 42 PHEV: SENSOR FUSION MARKET, BY REGION, 2019–2030 (‘000 UNITS)
TABLE 43 PHEV: SENSOR FUSION MARKET, BY REGION, 2019–2030 (USD MILLION)
13.4 FUEL-CELL ELECTRIC VEHICLES (FCEV)
13.4.1 LAUNCH OF FCEV MODELS WITH ADAS FEATURES TO DRIVE GROWTH
TABLE 44 FCEV: SENSOR FUSION MARKET, BY REGION, 2019–2030 (‘000 UNITS)
TABLE 45 FCEV: SENSOR FUSION MARKET, BY REGION, 2019–2030 (USD MILLION)
14 SENSOR FUSION MARKET FOR AUTONOMOUS VEHICLES, BY LEVEL OF AUTONOMY (Page No. - 108)
14.1 INTRODUCTION
14.1.1 RESEARCH METHODOLOGY
14.1.2 ASSUMPTIONS/LIMITATIONS
14.1.3 INDUSTRY INSIGHTS
FIGURE 35 AUTONOMOUS VEHICLE SENSOR FUSION MARKET, BY LEVEL OF AUTONOMY, 2024 VS. 2030 (USD MILLION)
TABLE 46 AUTONOMOUS VEHICLE SENSOR FUSION MARKET, BY LEVEL OF AUTONOMY, 2024–2030 (‘000 UNITS)
TABLE 47 AUTONOMOUS VEHICLE SENSOR FUSION MARKET, BY LEVEL OF AUTONOMY, 2024–2030 (USD MILLION)
14.2 L4
14.2.1 SEGMENT PROPELLED BY OEM INVESTMENT IN AUTOMATED DRIVING
TABLE 48 L4: SENSOR FUSION MARKET, BY REGION, 2024–2030 (‘000 UNITS)
TABLE 49 L4: SENSOR FUSION MARKET, BY REGION, 2024–2030 (USD MILLION)
14.3 L5
14.3.1 INCREASED TESTING OF AUTONOMOUS DRIVING BOOSTS ADVANCEMENTS IN L5
TABLE 50 L5: SENSOR FUSION MARKET, BY REGION, 2028–2030 (‘000 UNITS)
TABLE 51 L5: SENSOR FUSION MARKET, BY REGION, 2028–2030 (USD MILLION)
15 SENSOR FUSION MARKET FOR AUTOMOTIVE, BY REGION (Page No. - 114)
15.1 INTRODUCTION
15.1.1 RESEARCH METHODOLOGY
15.1.2 ASSUMPTIONS/LIMITATIONS
15.1.3 INDUSTRY INSIGHTS
FIGURE 36 MARKET FOR AUTOMOTIVE, BY REGION, 2021 VS. 2030 (USD MILLION)
TABLE 52 MARKET FOR AUTOMOTIVE, BY REGION, 2019–2030 (‘000 UNITS)
TABLE 53MARKET FOR AUTOMOTIVE, BY REGION, 2019–2030 (USD MILLION)
15.2 ASIA PACIFIC
FIGURE 37 ASIA PACIFIC: MARKET FOR AUTOMOTIVE
TABLE 54 ASIA PACIFIC: MARKET FOR AUTOMOTIVE, BY COUNTRY, 2019–2030 (‘000 UNITS)
TABLE 55 ASIA PACIFIC: MARKET FOR AUTOMOTIVE, BY COUNTRY, 2019–2030 (USD MILLION)
15.2.1 CHINA
15.2.1.1 Demand for compact premium and luxury cars to drive Chinese market
TABLE 56 CHINA: MARKET FOR AUTOMOTIVE, BY TECHNOLOGY, 2019–2030 (‘000 UNITS)
TABLE 57 CHINA: MARKET FOR AUTOMOTIVE, BY TECHNOLOGY, 2019–2030 (USD MILLION)
15.2.2 INDIA
15.2.2.1 Stringency in safety standards making ADAS features a mandate boosts Indian market
TABLE 58 INDIA: MARKET FOR AUTOMOTIVE, BY TECHNOLOGY, 2019–2030 (‘000 UNITS)
TABLE 59 INDIA: MARKET FOR AUTOMOTIVE, BY TECHNOLOGY, 2019–2030 (USD MILLION)
15.2.3 JAPAN
15.2.3.1 Market in Japan driven by development of advanced ADAS features
TABLE 60 JAPAN: MARKET FOR AUTOMOTIVE, BY TECHNOLOGY, 2019–2030 (‘000 UNITS)
TABLE 61 JAPAN: MARKET FOR AUTOMOTIVE, BY TECHNOLOGY, 2019–2030 (USD MILLION)
15.2.4 SOUTH KOREA
15.2.4.1 Government regulations to mandate AEB and LDW fuel growth in South Korea
TABLE 62 SOUTH KOREA: MARKET FOR AUTOMOTIVE, BY TECHNOLOGY, 2019–2030 (‘000 UNITS)
TABLE 63 SOUTH KOREA: MARKET FOR AUTOMOTIVE, BY TECHNOLOGY, 2019–2030 (USD MILLION)
15.2.5 REST OF ASIA PACIFIC
15.2.5.1 Growing demand for vehicles with ADAS and advanced safety features drives market in Rest of Asia Pacific
TABLE 64 REST OF ASIA PACIFIC: MARKET FOR AUTOMOTIVE, BY TECHNOLOGY, 2019–2030 (‘000 UNITS)
TABLE 65 REST OF ASIA PACIFIC: MARKET FOR AUTOMOTIVE, BY TECHNOLOGY, 2019–2030 (USD MILLION)
15.3 EUROPE
FIGURE 38 EUROPE: MARKET FOR AUTOMOTIVE, BY COUNTRY, 2021 VS. 2030
TABLE 66 EUROPE: FOR AUTOMOTIVE, BY COUNTRY, 2019–2030 (‘000 UNITS)
TABLE 67 EUROPE: MARKET FOR AUTOMOTIVE, BY COUNTRY, 2019–2030 (USD MILLION)
15.3.1 GERMANY
15.3.1.1 German market boosted by increased R&D in advanced ADAS & automated driving
TABLE 68 GERMANY: MARKET FOR AUTOMOTIVE, BY TECHNOLOGY, 2019–2030 (‘000 UNITS)
TABLE 69 GERMANY: MARKET FOR AUTOMOTIVE, BY TECHNOLOGY, 2019–2030 (USD MILLION)
15.3.2 FRANCE
15.3.2.1 Adoption of multiple ADAS features in commercial vehicles to drive market in France
TABLE 70 FRANCE: MARKET FOR AUTOMOTIVE, BY TECHNOLOGY, 2019–2030 (‘000 UNITS)
TABLE 71 FRANCE: MARKET FOR AUTOMOTIVE, BY TECHNOLOGY, 2019–2030 (USD MILLION)
15.3.3 SPAIN
15.3.3.1 Implementation of road safety and regulations to fuel market in Spain
TABLE 72 SPAIN: MARKET FOR AUTOMOTIVE, BY TECHNOLOGY, 2019–2030 (‘000 UNITS)
TABLE 73 SPAIN: MARKET FOR AUTOMOTIVE, BY TECHNOLOGY, 2019–2030 (USD MILLION)
15.3.4 ITALY
15.3.4.1 Regulations mandating advanced ADAS features - driver for Italian market
TABLE 74 ITALY: MARKET FOR AUTOMOTIVE, BY TECHNOLOGY, 2019–2030 (‘000 UNITS)
TABLE 75 ITALY: MARKET FOR AUTOMOTIVE, BY TECHNOLOGY, 2019–2030 (USD MILLION)
15.3.5 UK
15.3.5.1 Customer shift towards premium vehicles fuels UK market
TABLE 76 UK: MARKET FOR AUTOMOTIVE, BY TECHNOLOGY, 2019–2030 (‘000 UNITS)
TABLE 77 UK: MARKET FOR AUTOMOTIVE, BY TECHNOLOGY, 2019–2030 (USD MILLION)
15.3.6 RUSSIA
15.3.6.1 Increasing sales of premium cars will fuel Russian market
TABLE 78 RUSSIA: MARKET FOR AUTOMOTIVE, BY TECHNOLOGY, 2019–2030 (‘000 UNITS)
TABLE 79 RUSSIA: MARKET FOR AUTOMOTIVE, BY TECHNOLOGY, 2019–2030 (USD MILLION)
15.3.7 REST OF EUROPE
TABLE 80 REST OF EUROPE: MARKET FOR AUTOMOTIVE, BY TECHNOLOGY, 2019–2030 (‘000 UNITS)
TABLE 81 REST OF EUROPE: MARKET FOR AUTOMOTIVE, BY TECHNOLOGY, 2019–2030 (USD MILLION)
15.4 NORTH AMERICA
FIGURE 39 NORTH AMERICA: MARKET FOR AUTOMOTIVE
TABLE 82 NORTH AMERICA: MARKET FOR AUTOMOTIVE, BY COUNTRY, 2019–2030 (‘000 UNITS)
TABLE 83 NORTH AMERICA: MARKET FOR AUTOMOTIVE, BY COUNTRY, 2019–2030 (USD MILLION)
15.4.1 US
15.4.1.1 Developments in L3 autonomous driving systems to propel US market
TABLE 84 US: MARKET FOR AUTOMOTIVE, BY COUNTRY, 2019–2030 (‘000 UNITS)
TABLE 85 US: MARKET FOR AUTOMOTIVE, BY COUNTRY, 2019–2030 (USD MILLION)
15.4.2 CANADA
15.4.2.1 Research in autonomous driving technologies fuels market in Canada
TABLE 86 CANADA: MARKET FOR AUTOMOTIVE, BY TECHNOLOGY, 2019–2030 (‘000 UNITS)
TABLE 87 CANADA: MARKET FOR AUTOMOTIVE, BY TECHNOLOGY, 2019–2030 (USD MILLION)
15.4.3 MEXICO
15.4.3.1 Free trade agreements promoting domestic production of automotive components to drive Mexican market
TABLE 88 MEXICO: MARKET FOR AUTOMOTIVE, BY TECHNOLOGY, 2019–2030 (‘000 UNITS)
TABLE 89 MEXICO: MARKET FOR AUTOMOTIVE, BY TECHNOLOGY, 2019–2030 (USD MILLION)
15.5 REST OF THE WORLD (ROW)
FIGURE 40 ROW: SENSOR FUSION MARKET FOR AUTOMOTIVE, 2021 VS. 2030 (USD MILLION)
TABLE 90 ROW: MARKET FOR AUTOMOTIVE, BY COUNTRY, 2019–2030 (‘000 UNITS)
TABLE 91 ROW: MARKET FOR AUTOMOTIVE, BY COUNTRY, 2019–2030 (USD MILLION)
15.5.1 BRAZIL
15.5.1.1 Sensor fusion likely to witness significant growth post 2026 in Brazil
TABLE 92 BRAZIL: MARKET FOR AUTOMOTIVE, BY TECHNOLOGY, 2019–2030 (‘000 UNITS)
TABLE 93 BRAZIL: MARKET FOR AUTOMOTIVE, BY TECHNOLOGY, 2019–2030 (USD MILLION)
15.5.2 SOUTH AFRICA
15.5.2.1 Growing demand for premium vehicles to boost market in South Africa
TABLE 94 SOUTH AFRICA: MARKET FOR AUTOMOTIVE, BY TECHNOLOGY, 2019–2030 (‘000 UNITS)
TABLE 95 SOUTH AFRICA: MARKET FOR AUTOMOTIVE, BY TECHNOLOGY, 2019–2030 (USD MILLION)
15.5.3 OTHERS IN ROW
TABLE 96 OTHERS IN ROW: MARKET FOR AUTOMOTIVE, BY TECHNOLOGY, 2019–2030 (‘000 UNITS)
TABLE 97 OTHERS IN ROW: MARKET FOR AUTOMOTIVE, BY TECHNOLOGY, 2019–2030 (USD MILLION)
16 AUTOMOTIVE SENSORS MARKET, BY SENSOR TYPE (Page No. - 144)
16.1 INTRODUCTION
FIGURE 41 AUTOMOTIVE SENSORS MARKET, BY TYPE
FIGURE 42 POSITION SENSORS TO LEAD MARKET DURING FORECAST PERIOD
TABLE 98 AUTOMOTIVE SENSORS MARKET, BY TYPE, 2019–2025 (USD MILLION)
TABLE 99 AUTOMOTIVE SENSORS MARKET, BY TYPE, 2019–2025 (MILLION UNITS)
16.2 TEMPERATURE SENSORS
16.2.1 TEMPERATURE SENSORS MAINLY USED IN POWERTRAIN AND HVAC APPLICATIONS
TABLE 100 AUTOMOTIVE TEMPERATURE SENSORS MARKET, BY REGION, 2019–2025 (USD MILLION)
TABLE 101 AUTOMOTIVE TEMPERATURE SENSORS MARKET, BY REGION, 2019–2025 (MILLION UNITS)
16.3 PRESSURE SENSORS
16.3.1 PRESSURE SENSORS MAINLY USED IN HVAC, SAFETY & CONTROL, AND TPMS
TABLE 102 AUTOMOTIVE PRESSURE SENSORS MARKET, BY REGION, 2019–2025 (USD MILLION)
TABLE 103 AUTOMOTIVE PRESSURE SENSORS MARKET, BY REGION, 2019–2025 (MILLION UNITS)
16.4 POSITION SENSORS
16.4.1 POSITION SENSORS WIDELY USED TO PROVIDE INFORMATION TO ECMS
TABLE 104 AUTOMOTIVE POSITION SENSORS MARKET, BY REGION, 2019–2025 (USD MILLION)
TABLE 105 AUTOMOTIVE POSITION SENSORS MARKET, BY REGION, 2019–2025 (MILLION UNITS)
16.5 OXYGEN SENSORS
16.5.1 OXYGEN SENSORS USED TO MEASURE PROPORTIONAL AMOUNT OF OXYGEN IN LIQUID OR GAS
TABLE 106 AUTOMOTIVE OXYGEN SENSORS MARKET, BY REGION, 2019–2025 (USD MILLION)
TABLE 107 AUTOMOTIVE OXYGEN SENSORS MARKET, BY REGION, 2019–2025 (MILLION UNITS)
16.6 NITROGEN OXIDE SENSORS
16.6.1 STRINGENT GOVERNMENT REGULATIONS TO LIMIT NOX EMISSIONS TO PROVIDE OPPORTUNITIES FOR NOX SENSORS
TABLE 108 AUTOMOTIVE NOX SENSORS MARKET, BY REGION, 2019–2025 (USD MILLION)
TABLE 109 AUTOMOTIVE NOX SENSORS MARKET, BY REGION, 2019–2025 (MILLION UNITS)
16.7 SPEED SENSORS
16.7.1 SPEED SENSORS USED TO MEASURE ENGINE CAMSHAFT SPEED AND VEHICLE SPEED
TABLE 110 AUTOMOTIVE SPEED SENSORS MARKET, BY REGION, 2019–2025 (USD MILLION)
TABLE 111 AUTOMOTIVE SPEED SENSORS MARKET, BY REGION, 2019–2025 (MILLION UNITS)
16.8 INERTIAL SENSORS
16.8.1 INERTIAL SENSORS MAINLY BASED ON MEMS TECHNOLOGY AND USED IN ACCELEROMETERS AND GYROSCOPES
16.8.1.1 Accelerometers
16.8.1.2 Gyroscopes
TABLE 112 AUTOMOTIVE INERTIAL SENSORS MARKET, BY REGION, 2019–2025 (USD MILLION)
TABLE 113 AUTOMOTIVE INERTIAL SENSORS MARKET, BY REGION, 2019–2025 (MILLION UNITS)
16.9 IMAGE SENSORS
16.9.1 INCREASING ADOPTION OF ADAS TO BOOST USE OF IMAGE SENSORS
16.9.1.1 CMOS
16.9.1.2 CCD
TABLE 114 FEATURES OFFERED BY IMAGE SENSORS IN AUTOMOBILES
TABLE 115 AUTOMOTIVE IMAGE SENSORS MARKET, BY REGION, 2019–2025 (USD MILLION)
TABLE 116 AUTOMOTIVE IMAGE SENSORS MARKET, BY REGION, 2019–2025 (MILLION UNITS)
16.10 OTHER SENSORS
16.10.1 RADAR
16.10.2 ULTRASONIC SENSORS
16.10.3 RAIN SENSORS
16.10.4 RELATIVE HUMIDITY SENSORS
16.10.5 PROXIMITY SENSORS
16.10.6 PARTICULATE MATTER SENSORS
16.10.7 LIDAR
16.10.8 CURRENT SENSORS
TABLE 117 OTHER AUTOMOTIVE SENSORS MARKET, BY REGION, 2019–2025 (USD MILLION)
TABLE 118 OTHER AUTOMOTIVE SENSORS MARKET, BY REGION, 2019–2025 (MILLION UNITS)
17 AUTOMOTIVE SENSORS MARKET, BY APPLICATION (Page No. - 161)
17.1 INTRODUCTION
FIGURE 43 AUTOMOTIVE SENSORS MARKET, BY APPLICATION
FIGURE 44 POWERTRAIN TO LEAD AUTOMOTIVE SENSORS MARKET DURING FORECAST PERIOD
TABLE 119 AUTOMOTIVE SENSORS MARKET, BY APPLICATION, 2019–2025 (USD MILLION)
TABLE 120 AUTOMOTIVE SENSORS MARKET, BY APPLICATION, 2019–2025 (MILLION UNITS)
17.2 POWERTRAIN
17.2.1 POWERTRAIN COMPRISES COMPONENTS THAT GENERATE POWER AND DELIVERS IT TO VEHICLE
TABLE 121 AUTOMOTIVE SENSORS MARKET FOR POWERTRAIN, BY VEHICLE TYPE, 2019–2025 (USD MILLION)
TABLE 122 AUTOMOTIVE SENSORS MARKET FOR POWERTRAIN, BY VEHICLE TYPE, 2019–2025 (MILLION UNITS)
17.3 CHASSIS
17.3.1 FUNCTIONS INCLUDE BRAKING/TRACTION CONTROL, VEHICLE STABILITY, STEERING ASSIST, ETC.
TABLE 123 AUTOMOTIVE SENSORS MARKET FOR CHASSIS, BY VEHICLE TYPE, 2019–2025 (USD MILLION)
TABLE 124 AUTOMOTIVE SENSORS MARKET FOR CHASSIS, BY VEHICLE TYPE, 2019–2025 (MILLION UNITS)
17.4 EXHAUST
17.4.1 STRINGENT GOVERNMENT REGULATIONS REGARDING EXHAUSTS DRIVE MARKET
TABLE 125 AUTOMOTIVE SENSORS MARKET FOR EXHAUST, BY VEHICLE TYPE, 2019–2025 (USD MILLION)
TABLE 126 AUTOMOTIVE SENSORS MARKET FOR EXHAUST, BY VEHICLE TYPE, 2019–2025 (MILLION UNITS)
17.5 SAFETY & CONTROL
17.5.1 RISE IN DEMAND FOR SAFE, EFFICIENT, AND CONVENIENT DRIVING EXPERIENCE DRIVE USE OF AUTOMOTIVE SENSORS
TABLE 127 AUTOMOTIVE SENSORS MARKET FOR SAFETY & CONTROL, BY VEHICLE TYPE, 2019–2025 (USD MILLION)
TABLE 128 AUTOMOTIVE SENSORS MARKET FOR SAFETY & CONTROL, BY VEHICLE TYPE, 2019–2025 (MILLION UNITS)
17.6 BODY ELECTRONICS
17.6.1 PASSENGER CARS TO DOMINATE BODY ELECTRONICS
TABLE 129 AUTOMOTIVE SENSORS MARKET FOR BODY ELECTRONICS, BY VEHICLE TYPE, 2019–2025 (USD MILLION)
TABLE 130 AUTOMOTIVE SENSORS MARKET FOR BODY ELECTRONICS, BY VEHICLE TYPE, 2019–2025 (MILLION UNITS)
17.7 TELEMATICS
17.7.1 TELEMATICS COVERS INFORMATION AND NAVIGATION, ENTERTAINMENT, AND DIAGNOSTICS
TABLE 131 AUTOMOTIVE SENSORS MARKET FOR TELEMATICS, BY VEHICLE TYPE, 2019–2025 (USD MILLION)
TABLE 132 AUTOMOTIVE SENSORS MARKET FOR TELEMATICS, BY VEHICLE TYPE, 2019–2025 (MILLION UNITS)
17.8 OTHERS
TABLE 133 AUTOMOTIVE SENSORS MARKET FOR OTHERS, BY VEHICLE TYPE, 2019–2025 (USD MILLION)
TABLE 134 AUTOMOTIVE SENSORS MARKET FOR OTHERS, BY VEHICLE TYPE, 2019–2025 (MILLION UNITS)
18 RECOMMENDATIONS BY MARKETSANDMARKETS (Page No. - 171)
18.1 ASIA PACIFIC: A POTENTIAL MARKET FOR SENSOR FUSION MARKET FOR AUTOMOTIVE
18.2 STRATEGIC ADOPTION OF LIDAR TO CREATE NEW REVENUE POCKETS
18.3 GROWING DEMAND FOR SENSOR FUSION IN ELECTRIC & AUTONOMOUS VEHICLES
18.4 CONCLUSION
19 COMPETITIVE LANDSCAPE (Page No. - 173)
19.1 OVERVIEW
19.2 KEY PLAYER STRATEGIES/RIGHT TO WIN
FIGURE 45 COMPANIES ADOPTED NEW PRODUCT DEVELOPMENT AS THE KEY GROWTH STRATEGY, 2019–2021
19.3 REVENUE ANALYSIS OF TOP FIVE PLAYERS, 2018-2020
FIGURE 46 REVENUE ANALYSIS OF TOP 5 PLAYERS, 2018-2020
19.4 MARKET SHARE ANALYSIS
TABLE 135 MARKET STRUCTURE, 2020
FIGURE 47 MARKET SHARE ANALYSIS, 2020
19.5 COMPETITIVE LEADERSHIP MAPPING
19.5.1 STAR
19.5.2 EMERGING LEADER
19.5.3 PERVASIVE
19.5.4 PARTICIPANT
FIGURE 48 COMPETITIVE LEADERSHIP MAPPING: SENSOR FUSION COMPONENT MANUFACTURERS
TABLE 136 SENSOR FUSION MARKET FOR AUTOMOTIVE: COMPANY FOOTPRINT
TABLE 137 COMPANY TECHNOLOGY FOOTPRINT
TABLE 138 COMPANY REGION FOOTPRINT (19 COMPANIES)
19.6 COMPETITIVE SCENARIO
19.7 NEW PRODUCT LAUNCHES
TABLE 139 NEW PRODUCT DEVELOPMENT, 2019-2020
19.8 AGREEMENTS, PARTNERSHIPS, COLLABORATIONS, AND JOINT VENTURES
TABLE 140 AGREEMENTS, PARTNERSHIPS, COLLABORATIONS, AND JOINT VENTURES, 2019-2021
20 COMPANY PROFILES (Page No. - 185)
(Business overview, Products offered, Solutions offered, Recent developments, & MnM View)*
20.1 KEY PLAYERS
20.1.1 ROBERT BOSCH GMBH
TABLE 141 ROBERT BOSCH GMBH: BUSINESS OVERVIEW
FIGURE 49 ROBERT BOSCH GMBH: COMPANY SNAPSHOT
TABLE 142 ROBERT BOSCH GMBH: DEALS
20.1.2 CONTINENTAL AG
TABLE 143 CONTINENTAL AG: BUSINESS OVERVIEW
FIGURE 50 CONTINENTAL AG: COMPANY SNAPSHOT
TABLE 144 CONTINENTAL AG: PRODUCT DEVELOPMENTS
TABLE 145 CONTINENTAL AG: DEALS
20.1.3 NXP SEMICONDUCTORS N.V.
TABLE 146 NXP SEMICONDUCTORS N.V.: BUSINESS OVERVIEW
FIGURE 51 NXP SEMICONDUCTORS N.V.: COMPANY SNAPSHOT
TABLE 147 NXP SEMICONDUCTORS N.V.: PRODUCT LAUNCHES
20.1.4 STMICROELECTRONICS
TABLE 148 STMICROELECTRONICS N.V.: BUSINESS OVERVIEW
FIGURE 52 STMICROELECTRONICS N.V.: COMPANY SNAPSHOT
TABLE 149 STMICROELECTRONICS N.V.: PRODUCT LAUNCHES
TABLE 150 STMICROELECTRONICS N.V.: DEALS
20.1.5 ZF FRIEDRICHSHAFEN AG
TABLE 151 ZF FRIEDRICHSHAFEN AG: BUSINESS OVERVIEW
FIGURE 53 ZF FRIEDRICHSHAFEN AG: COMPANY SNAPSHOT
TABLE 152 ZF FRIEDRICHSHAFEN AG: PRODUCT LAUNCHES
TABLE 153 ZF FRIEDRICHSHAFEN AG: DEALS
20.1.6 INFINEON TECHNOLOGIES
TABLE 154 INFINEON TECHNOLOGIES: BUSINESS OVERVIEW
FIGURE 54 INFINEON TECHNOLOGIES: COMPANY SNAPSHOT
TABLE 155 INFINEON TECHNOLOGIES: PRODUCT LAUNCHES
TABLE 156 INFINEON TECHNOLOGIES: DEALS
20.1.7 ALLEGRO MICROSYSTEMS
TABLE 157 ALLEGRO MICROSYSTEMS: BUSINESS OVERVIEW
FIGURE 55 ALLEGRO MICROSYSTEMS: COMPANY SNAPSHOT
TABLE 158 ALLEGRO MICROSYSTEMS: PRODUCT LAUNCHES
TABLE 159 ALLEGRO MICROSYSTEMS: DEALS
20.1.8 DENSO CORPORATION
TABLE 160 DENSO CORPORATION: BUSINESS OVERVIEW
FIGURE 56 DENSO CORPORATION: COMPANY SNAPSHOT
TABLE 161 DENSO CORPORATION: PRODUCT LAUNCHES
TABLE 162 DENSO CORPORATION: DEALS
20.1.9 SENSATA TECHNOLOGIES, INC.
TABLE 163 SENSATA TECHNOLOGIES, INC.: BUSINESS OVERVIEW
FIGURE 57 SENSATA TECHNOLOGIES, INC.: COMPANY SNAPSHOT
TABLE 164 SENSATA TECHNOLOGIES, INC.: DEALS
20.1.10 ELMOS SEMICONDUCTOR SE
TABLE 165 ELMOS SEMICONDUCTOR SE.: BUSINESS OVERVIEW
FIGURE 58 ELMOS SEMICONDUCTOR SE: COMPANY SNAPSHOT
TABLE 166 ELMOS SEMICONDUCTOR SE: DEALS
20.1.11 TE CONNECTIVITY LTD.
TABLE 167 TE CONNECTIVITY LTD.: BUSINESS OVERVIEW
FIGURE 59 TE CONNECTIVITY LTD.: COMPANY SNAPSHOT
TABLE 168 TE CONNECTIVITY LTD.: DEALS
*Details on Business overview, Products offered, Solutions offered, Recent developments, & MnM View might not be captured in case of unlisted companies.
20.2 OTHER KEY PLAYERS
20.2.1 CTS CORPORATION
TABLE 169 CTS CORPORATION: BUSINESS OVERVIEW
20.2.2 BASELABS GMBH
TABLE 170 BASELABS GMBH: BUSINESS OVERVIEW
20.2.3 MEMSIC SEMICONDUCTOR (TIANJIN) CO., LTD.
TABLE 171 MEMSIC SEMICONDUCTOR (TIANJIN) CO., LTD.: BUSINESS OVERVIEW
20.2.4 KIONIX, INC.
TABLE 172 KIONIX, INC.: BUSINESS OVERVIEW
20.2.5 TDK CORPORATION
TABLE 173 TDK CORPORATION: BUSINESS OVERVIEW
20.2.6 ANALOG DEVICES
TABLE 174 ANALOG DEVICES: BUSINESS OVERVIEW
20.2.7 MICROCHIP TECHNOLOGY INC.
TABLE 175 MICROCHIP TECHNOLOGY INC.: BUSINESS OVERVIEW
20.2.8 MONOLITHIC POWER SYSTEMS, INC.
TABLE 176 MONOLITHIC POWER SYSTEMS, INC.: BUSINESS OVERVIEW
20.2.9 LEDDARTECH INC.
TABLE 177 LEDDARTECH INC.: BUSINESS OVERVIEW
20.2.10 IBEO AUTOMOTIVE SYSTEMS GMBH
TABLE 178 IBEO AUTOMOTIVE SYSTEMS GMBH: BUSINESS OVERVIEW
20.2.11 MAXIM INTEGRATED
TABLE 179 MAXIM INTEGRATED: BUSINESS OVERVIEW
20.2.12 VELODYNE LIDAR, INC.
TABLE 180 VELODYNE LIDAR, INC.: BUSINESS OVERVIEW
20.2.13 RENESAS ELECTRONICS CORPORATION
TABLE 181 RENESAS ELECTRONICS CORPORATION: BUSINESS OVERVIEW
20.2.14 MOBILEYE
TABLE 182 MOBILEYE: BUSINESS OVERVIEW
20.2.15 APTIV PLC
TABLE 183 APTIV PLC: BUSINESS OVERVIEW
20.2.16 MAGNA INTERNATIONAL
TABLE 184 MAGNA INTERNATIONAL: BUSINESS OVERVIEW
21 APPENDIX (Page No. - 238)
21.1 CURRENCY & PRICING
TABLE 185 CURRENCY EXCHANGE RATES (WRT PER USD)
21.2 INSIGHTS OF INDUSTRY EXPERTS
21.3 DISCUSSION GUIDE
21.4 KNOWLEDGE STORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL
21.5 AVAILABLE CUSTOMIZATIONS
21.5.1 SENSOR FUSION MARKET FOR AUTOMOTIVE, BY VEHICLE TYPE & BY TECHNOLOGY
21.5.1.1 Cameras
21.5.1.2 Radar
21.5.1.3 LiDAR
21.5.2 AUTONOMOUS VEHICLE TYPE SENSOR FUSION MARKET, BY TECHNOLOGY
21.5.2.1 Cameras
21.5.2.2 Radar
21.5.2.3 LiDAR
21.5.3 ELECTRIC VEHICLE TYPE SENSOR FUSION MARKET, BY TECHNOLOGY
21.5.3.1 Cameras
21.5.3.2 Radar
21.5.3.3 LiDAR
21.6 RELATED REPORTS
21.7 AUTHOR DETAILS
The study involved four major activities to estimate the current size of the sensor fusion market for automotive. Exhaustive secondary research was done to collect information on the market, the peer market, and the parent market. The next step was to validate these findings, assumptions, and sizing with the industry experts across value chains through primary research. The bottom-up and top-down approaches were employed to estimate the complete market size. Thereafter, market breakdown and data triangulation processes were used to estimate the market size of various segments and subsegments.
Secondary Research
The secondary sources referred to in this research study include the Organisation Internationale des Constructeurs d'Automobiles (OICA), the International Energy Agency (IEA), corporate filings (such as annual reports, investor presentations, and financial statements); and trade, business, and automotive associations. Secondary data was collected and analyzed to arrive at the overall market size, which was further validated by primary research. Additionally, secondary research has been carried out to understand the average selling prices of various sensors- cameras, radars and LiDARs by vehicle type, historic sales of new vehicles, and vehicle production. Secondary data has been collected and analyzed to arrive at the overall market size, which is further validated by primary research.
Primary Research
In the primary research process, various primary sources from both supply and demand sides were interviewed to obtain qualitative and quantitative information on the market. The primary sources from the supply side included industry experts such as CXOs, vice presidents, directors from business development, marketing, product development/innovation teams, and related key executives from various key companies. Various system integrators, industry associations, independent consultants/industry veterans, and key opinion leaders were also interviewed.
Primary interviews have been conducted to gather insights such as ICE vehicle, EV and autonomous production and sales forecast, sensor fusion penetration & forecast, future technology trends, and upcoming technologies in the automotive sensor fusion industry. Data triangulation was then done with the information gathered from secondary research. Stakeholders from demand as well as supply side have been interviewed to understand their views on the aforementioned points.
Primary interviews have been conducted with market experts from demand and supply side across four major regions, namely, North America, Europe, Asia Pacific, and the Rest of the World. Primary data has been collected through questionnaires, emails, and telephonic interviews. In the canvassing of primaries, we have strived to cover various departments within organizations, such as sales and operations, to provide a holistic viewpoint in our report.
After interacting with industry experts, we have also conducted brief sessions with highly experienced independent consultants to reinforce the findings from our primaries. This, along with the in-house subject matter experts’ opinions, has led us to the findings as described in the remainder of this report.
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Market Size Estimation
A detailed market estimation approach was followed to estimate and validate the value of the sensor fusion market for automotive and other dependent submarkets, as mentioned below:
- Key players in the sensor fusion market for automotive were identified through secondary research, and their global market shares were determined through primary and secondary research.
- The research methodology included study of annual and quarterly financial reports and regulatory filings of major market players (public) as well as interviews with industry experts for detailed market insights.
- All industry-level penetration rates, percentage shares, splits, and breakdowns for the sensor fusion market for automotive were determined using secondary sources and verified through primary sources.
- All key macro indicators affecting the revenue growth of the market segments and subsegments have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the validated and verified quantitative and qualitative data.
- The gathered market data was consolidated and added with detailed inputs, analyzed, and presented in this report.
- Qualitative aspects such as market drivers, restraints, opportunities, and challenges have been taken into consideration while calculating and forecasting the market size.
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Data Triangulation
After arriving at the overall market size—using the market size estimation processes as explained above—the market was split into several segments and sub-segments. To complete the overall market engineering process and arrive at the exact statistics of each market segment and sub segment, data triangulation and market breakdown procedures were employed, wherever applicable. The data was triangulated by studying various factors and trends.
Report Objectives
- To define, describe, and project the size of the sensor fusion market for automotive based on technology, sensor type, application, sensor environment, fusion level, data fusion type, software layer, vehicle type, electric vehicle, autonomous vehicle, and region, by volume (‘000 units) and value (USD million/billion)
- To analyze and forecast the sensor fusion market for automotive based on technology [camera, LiDAR, and radar]
- To analyze and forecast the sensor fusion market for automotive based on sensor environment [internal and external]
- To analyze and forecast the sensor fusion market for automotive based on fusion level [data, feature, and decision]
- To analyze and forecast the sensor fusion market for automotive based on data fusion type [homogeneous and heterogeneous]
- To analyze and forecast the sensor fusion market for automotive based on ICE vehicle type [passenger car, light commercial vehicle (LCV), and heavy commercial vehicle (HCV)]
- To analyze and forecast the sensor fusion market for automotive based on electric vehicle type [battery electric vehicle (BEV), plug-in hybrid electric vehicle (PHEV), and fuel-cell electric vehicle (FCEV)]
- To analyze and forecast the autonomous vehicle sensor fusion market based on region (L4 and L5)
- To analyze and forecast the sensor fusion market for automotive by software layer (operating system, middleware, and application software)
- To analyze and forecast the automotive sensors market size based on sensor type temperature, pressure, oxygen, NOx, speed, inertial, image, position, and other sensors)
- To analyze and forecast the automotive sensors market based on application (powertrain & drivetrain, safety & body control, exhaust, infotainment, navigation & telematics)
- To forecast the sensor fusion market for automotive, by volume and value, with respect to four regions, namely, North America, Europe, Asia Pacific, and the Rest of the World (RoW)
- To analyze the following with respect to the market
- Value Chain Analysis
- Ecosystem
- Market Scenario Analysis
- Porter’s Five Force Analysis
- Average Selling Price Analysis
- Technology Trends and Roadmap
- To analyze the share of key players in the sensor fusion market for automotive and conduct a revenue analysis of the top 5 players on a competitive evaluation quadrant for sensor fusion suppliers
- To track recent developments and analyze the recent financials of key sensor fusion suppliers
Available Customizations
With the given market data, MarketsandMarkets offers customizations in accordance with the company’s specific needs.
Sensor Fusion Market For Automotive, By Vehicle Type & By Technology
- Cameras
- Radars
- LiDARs
Autonomous Vehicle Type Sensor Fusion Market, By Technology
- Cameras
- Radars
- LiDARs
Electric Vehicle Type Sensor Fusion Market, By Technology
- Cameras
- Radars
- LiDARs
Note: Countries considered in Asia Pacific are: China, Japan, India, South Korea, and Rest of Asia Pacific; North America: US, Canada, and Mexico; Europe: Italy, UK, Germany, France, Spain, Russia, and rest of Europe; RoW: Brazil, South Africa and Rest of RoW
Growth opportunities and latent adjacency in Sensor Fusion Market