Sensor Fusion Market

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Sensor Fusion Market for Automotive by Level of Autonomy (L2, L3, L4), Vehicle Type (Passenger Cars, LCV, HCV), Electric Vehicle Type (BEV, PHEV, FCEV), Sensor Platform, Fusion Level (Data, Feature), Sensor Type, Algorithm, Region - Global Forecast 2030

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Report Code: AT 7987 Nov, 2023, by marketsandmarkets.com

[387 Pages Report] The global sensor fusion market for automotive is projected to grow from USD 0.3 billion in 2023 to USD 3.3 billion by 2030, registering a CAGR of 42.4%. With technological advancements, increasing safety demand, and supportive government regulations, vehicles with sensor fusion have gained significant traction as a viable and sustainable transportation option. Government and regulatory bodies globally have intensified their focus on enhancing road safety, prompting the enforcement of stringent safety standards and vehicle mandates. As a result, the sensor fusion market for automotive is experiencing robust growth, given its integral role in making vehicles safer and aligning with worldwide safety regulations.

Sensor Fusion Market for Automotive

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Sensor Fusion Market for Automotive

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Market Dynamics:

Driver: Increasing advancements in ADAS technology

The continuous advancement of ADAS technology is driving the demand for comprehensive sensor fusion solutions within the automotive industry. While ADAS already encompasses a wide range of safety and automation features, such as adaptive cruise control and lane-keeping assistance, the ongoing evolution of this technology has given rise to new and exciting applications that leverage advanced sensors and AI capabilities. One of the most notable advancements is in automatic parking systems. These systems go beyond simple parking assistance by enabling vehicles to navigate parking lots and tight spaces autonomously. They utilize a combination of sensors, including cameras and ultrasonic sensors, to detect obstacles, assess parking spaces, and execute precise parking maneuvers. Another significant development is in active lane keep assist. This technology alerts the driver when they're drifting out of their lane and actively steers the vehicle to keep it within the lane. Automated driving systems are becoming more sophisticated, enabling traffic jam assist and highway pilot features. These systems use a combination of sensors, including cameras and LiDAR, to provide semi-autonomous driving capabilities. They can handle tasks like maintaining a safe following distance, navigating stop-and-go traffic, and changing lanes under certain conditions. Pedestrian avoidance systems use a mix of sensors, including cameras and radar, to detect pedestrians near the vehicle and take action to avoid collisions. This includes both visual and audible alerts to the driver, as well as automated braking if necessary. As consumers and regulators demand higher safety standards and vehicles transition toward higher levels of automation and autonomy, the need for sensor fusion has increased. Ensuring the accuracy and redundancy of sensor data is essential in realizing the safety and reliability expected from ADAS and autonomous driving systems.

Restraint: Data privacy concerns

The increasing use of sensors for data collection offers valuable insights and enhances the efficiency of vehicles. However, this rapid proliferation of sensors gives rise to significant data privacy concerns, which can potentially restrain the growth of the sensor fusion market. Sensor fusion involves integrating data from multiple sensors to provide a more comprehensive and accurate view of the environment. While this can be highly beneficial, it necessitates collecting a vast amount of data, often including sensitive information. These sensors can be found in various applications, from smart cities and autonomous vehicles to wearable devices. They collect data that may include personal, location, or behavioral information. As a result, the increased use of sensors raises issues such as accessibility to data, storage, security, and the potential for misuse or breaches of personal privacy. Considering these concerns, regulators, businesses, and consumers increasingly demand robust data protection measures and transparency, which can challenge the growth of the sensor fusion market for automotive. Adhering to strong data privacy standards and ensuring that users have control over their data will be crucial to overcoming these constraints and fostering trust in sensor-based technologies.

Opportunity: Rising demand for safer and sustainable transportation solutions

The use of sensor fusion as an integral component of ADAS has enhanced vehicle safety and led to more fuel-efficient and eco-friendly vehicles, making a substantial contribution to sustainability. ADAS relies on LiDAR, radar, cameras, and ultrasonic sensors to gather real-time data about the vehicle's surroundings, enabling it to make informed decisions to improve safety and driving efficiency. This data-driven approach has significant implications for sustainability. Sensor fusion aids in optimizing driving behavior by providing critical information to ADAS systems, such as adaptive cruise control and lane-keeping assistance. These features can reduce aggressive driving patterns, leading to smoother acceleration and deceleration, reducing fuel consumption, and lower emissions. The enhanced situational awareness offered by sensor fusion allows ADAS systems to make precise decisions on route planning and traffic management, minimizing fuel waste and reducing the carbon footprint. For example, vehicles can take more efficient routes, avoiding traffic congestion and idling, leading to fuel savings and emission reduction. Sensor fusion contributes to developing autonomous and electric vehicles, key elements in sustainability efforts. Sensor fusion is fundamental to the safe operation of autonomous vehicles by providing a comprehensive view of the vehicle's surroundings, reducing the potential for accidents.

Moreover, electric vehicles benefit from sensor fusion by optimizing energy usage and improving regenerative braking systems. As global efforts to reduce carbon emissions and combat climate change intensify, the automotive industry is under pressure to develop more sustainable transportation solutions. The role of sensor fusion in making vehicles safer and more fuel-efficient aligns with these objectives, offering an opportunity for the sensor fusion market for automotive. As a result, continued growth is anticipated in adopting sensor fusion technology, both in developing existing vehicles and in shaping the future of sustainable mobility.

Challenge: Management of high volume of sensor data

Processing a large volume of data in real-time requires advanced computing capabilities, which can be expensive. The need for high-performance processors, specialized hardware, and efficient software algorithms to handle the data efficiently adds significant cost to developing and implementing sensor fusion systems. This data must be processed and analyzed with minimal latency to ensure the timely response of safety and automation features. Delays in data processing can compromise the effectiveness of systems like collision avoidance and adaptive cruise control, potentially leading to safety risks. The increasing complexity and sophistication of sensor fusion systems result in software development, testing, and maintenance. As the number of sensors and data sources grows, the challenge of developing and maintaining reliable and robust software adds to the overall cost and complexity of sensor fusion solutions.

Market Ecosystem

Sensor Fusion Market for Automotive

HCVs to be the fastest growing segment during forecast period

Heavy commercial vehicles include trucks, trailers, buses, and others, contributing to a large part of the economies in countries such as US, China, European countries, and India. Heavy-duty trucks tend to travel longer distances; therefore, road accidents can occur due to driver fatigue. MAN, IVECO, and Mercedes-Benz focus on offering features in heavy-duty trucks for a safer driving experience, which will be enabled by sensor fusion technology. Bosch and Continental already offer various ADAS solutions specially targeted at L2 commercial vehicles. Various truck OEMs, including Daimler and Volvo, had revealed plans back in 2020 to develop L4 autonomy-based trucks directly, bypassing L3. For instance, in 2022, Daimler Trucks announced a collaboration with Waymo LLC to develop L4 autonomous technology on a Freightliner Cascadia. Daimler’s Class 8 truck will get Waymo Driver technology, and production could begin in 2024.

L3 to be the fastest growing segment during the forecast period

Level 3 vehicles are considered to be partially autonomous with highway auto-driving features. Often referred to as eyes-off vehicles, these vehicles can allow the driver to sit back and relax as they can take care of everything while driving along the road. The L3 autonomous vehicles offer features such as autonomous emergency braking, connected vehicle technology, and automated valet parking. These vehicles are equipped with sensors such as LiDAR, radars, ultrasonic, and GPS, which use sensor fusion technology to increase the accuracy and efficiency of the sensors. All these technologies cater to the rising demands of road safety, which will, in turn, drive the sensor fusion market for automobiles. Multiple L3 autonomous vehicle models have been or will be launched in the short term. In March 2021, Honda Motors (Japan) unveiled a limited batch of its flagship Legend sedan, becoming the world’s first carmaker to sell a vehicle equipped with certified level 3 self-driving technology. Mercedes-Benz (Germany) and GAC (China) also launched their passenger cars with level 3 automation in 2020 and 2021. In July 2022, Hyundai Motor Group announced its plan to launch its most advanced level 3 autonomous cars by 2023. The company has decided to launch its flagship luxury Genesis G90 sedan and Kia’s electric SUV, the EV9. Mercedes-Benz also launched its L3 S-Class and EQS autonomous passenger cars in 2023. Further, Stellantis will be launching its L3 vans in 2024.

Asia Pacific to be the largest market by value during the forecast period

China, Japan, and South Korea account for the largest share of the sensor fusion market for automotive in the Asia Pacific region. The market growth in this region can be attributed to the high vehicle production and increased use of advanced electronics in Japan, South Korea, and China. These countries' governments have recognized the automotive industry's growth potential and have consequently taken different initiatives to encourage major OEMs to enter their domestic markets. Several European and American automobile manufacturers, such as Volkswagen (Germany), Mercedes-Benz (Germany), and General Motors (US), have shifted their production plants to developing countries. Major sensor component providers such as Robert Bosch (Germany), Continental (Germany), and DENSO Corporation (Japan) have production facilities across the region. China is one of the fastest-growing econosmies in Asia Pacific. It has experienced exceptional growth in the last few decades and has become the world’s second-largest economy. China is the largest vehicle manufacturer in the world and is expected to retain its leading position during the forecast period. The rising demand for vehicles in the country, coupled with favorable investment regulations and economical labor costs, has raised domestic vehicle production levels. Vehicle safety norms drive the sensor fusion market for automotive in the country. Several advanced safety features are mandated in the country to prevent accidents. Many car manufacturers have also established production facilities in China to cater to global demand.

Sensor Fusion Market for Automotive Size, and Share

Key Market Players

The Sensor Fusion Market for Automotive is dominated by Mobileye Global Inc. (Israel), NVIDIA Corporation (US), Qualcomm Incorporated (US), Tesla Inc. (US), and Huawei Technologies, Co., Ltd. (China), among others. These companies have worked with other players in the automotive sensor fusion ecosystem and developed best in class sensor fusion technology.

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Scope of the Report

Report Metric

Details

Market size available for years

2019–2030

Base year considered

2022

Forecast period

2023-2030

Forecast units

Volume (Thousand Units), Value(USD Million/Billion)

Segments covered

Level of Autonomy, Vehicle Type, Electric Vehicle Type, Sensor Platform, Fusion Level, Sensor Type, Algorithm, Data Fusion Type, Technology, Region.

Geographies covered

Asia Pacific, Europe, and North America

Companies Covered

Mobileye Global Inc. (Israel), NVIDIA Corporation (US), Qualcomm Incorporated (US), Tesla Inc. (US), and Huawei Technologies, Co., Ltd. (China) and more. 
A total of 38 major company profiles covered and provided.

This research report categorizes the sensor fusion market for automotive based on Level of Autonomy, Vehicle Type, Electric Vehicle Type, Sensor Platform, Fusion Level, Sensor Type, Algorithm, Data Fusion Type, Technology, Region.

Based on Level of Autonomy:
  • L2
  • L3
  • L4
Based on Vehicle Type:
  • Passenger Cars
  • Light Commercial Vehicles
  • Heavy Commercial Vehicles
Based on Electric Vehicle Type:
  • Battery Electric Vehicle (BEV)
  • Plug-In Hybrid Electric Vehicle (PHEV)
  • Fuel Cell Electric Vehicle (FECV)
Based on Sensor Platform:
  • High-Level Fusion
  • Mid-Level Fusion
  • Low-Level Fusion
Based on Fusion Level:
  • Data Fusion
  • Feature Fusion
  • Decision Fusion
Based on Sensor Type:
  • Camera
  • Radar
  • Lidar
  • Ultrasonic Sensor
  • Infrared Sensor
Based on Algorithm:
  • Kalman Filter
  • Bayesian Filter
  • Centeral Limit Theorem
  • Convolution Neural Network
Based on Data Fusion Type:
  • Homogeneous
  • Heterogeneous

Based on Technology:

  • ADAS
  • Autonomous Driving
Based on the region:
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
  • Europe
    • France
    • Germany
    • Italy
    • Spain
    • UK
  • North America
    • US
    • Canada

Recent Developments

  • In September 2023, Mobileye Global Inc. and FAW Group unveiled a strategic collaboration, capitalizing on their software, hardware, and technology product strengths. Their joint efforts will focus on developing innovative products utilizing Mobileye SuperVision and Mobileye Chauffeur platforms.
  • In September 2023, Qualcomm partners with Mercedes-Benz to power vehicles using Snapdragon Digital Chassis Solutions. The collaboration aims to enable high-bandwidth, always-on, and always-connected in-vehicle experiences, starting with Mercedes-Benz E-Class sedans.
  • In September 2023, JMC Group partnered with Baidu, Inc. for intelligent driving, combining AI expertise with advanced automotive technologies to promote and develop high-level intelligent driving and urban transportation solutions.
  • In July 2023,  Samsung Electronics Co. is designated to produce Tesla Inc.'s forthcoming Full Self-Driving (FSD) chips intended for application in Level-5 autonomous driving vehicles. These chips will be manufactured using Samsung's cutting-edge 4-nanometer node technology and will be integrated into Tesla's Hardware 5 (HW 5.0) computers.
  • In May, 2023, Waymo LLC and Uber partnered to integrate Waymo's cutting-edge autonomous driving technology with the extensive reach and scale of Uber's ridesharing and delivery networks.
  • In May 2023, Vector Informatik GmbH acquired BASELABS GmbH a specialist in sensor fusion for automated driving. The company aims to focus on software-defined vehicles throught this strategic investment.
  • In March 2023, Renesas Electronics Corporation partnered with Tata Consultancy Services to inaugurate an Innovation Center dedicated to crafting semiconductor designs and software solutions for various sectors, including IoT, infrastructure, industrial, and automotive segments.
  • In February 2023,  Mercedes-Benz collaborated with NVIDIA Corporation to leverage its software, data, and AI proficiency alongside its Orin system-on-chip. This collaboration aims to augment SAE Level 2 functionalities within urban contexts and ultimately achieve SAE Level 3 capabilities, specifically targeting speeds up to 80 mph (130 km/h).

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TABLE OF CONTENTS
 
1 INTRODUCTION (Page No. - 42)
    1.1 STUDY OBJECTIVES 
    1.2 MARKET DEFINITION 
           TABLE 1 MARKET DEFINITION: SENSOR FUSION MARKET FOR AUTOMOTIVE, BY TECHNOLOGY
           TABLE 2 MARKET DEFINITION: BY LEVEL OF AUTONOMY
           TABLE 3 MARKET DEFINITION: BY DATA FUSION TYPE
           TABLE 4 MARKET DEFINITION: BY VEHICLE TYPE
           TABLE 5 MARKET DEFINITION: BY ELECTRIC VEHICLE TYPE
           TABLE 6 MARKET DEFINITION: BY SENSOR PLATFORM APPROACH
           TABLE 7 MARKET DEFINITION: BY FUSION LEVEL
           TABLE 8 MARKET DEFINITION: BY SENSOR TYPE
           TABLE 9 MARKET DEFINITION: BY ALGORITHM
           1.2.1 INCLUSIONS AND EXCLUSIONS
                    TABLE 10 INCLUSIONS AND EXCLUSIONS
    1.3 MARKET SCOPE 
           FIGURE 1 MARKETS COVERED
           1.3.1 REGIONAL SCOPE
           1.3.2 YEARS CONSIDERED
    1.4 CURRENCY CONSIDERED 
           TABLE 11 CURRENCY EXCHANGE RATES
    1.5 STAKEHOLDERS 
    1.6 SUMMARY OF CHANGES 
 
2 RESEARCH METHODOLOGY (Page No. - 53)
    2.1 RESEARCH DATA 
           FIGURE 2 RESEARCH DESIGN
           FIGURE 3 RESEARCH PROCESS FLOW
           2.1.1 SECONDARY DATA
                    2.1.1.1 Key secondary sources
                    2.1.1.2 Key data from secondary sources
           2.1.2 PRIMARY DATA
                    2.1.2.1 Primary interviews from demand and supply sides
                               FIGURE 4 KEY INSIGHTS FROM INDUSTRY EXPERTS
                    2.1.2.2 Breakdown of primary interviews
                               FIGURE 5 BREAKDOWN OF PRIMARY INTERVIEWS: BY COMPANY TYPE, DESIGNATION, AND REGION
                    2.1.2.3 List of primary participants
    2.2 MARKET SIZE ESTIMATION AND METHODOLOGY 
           FIGURE 6 RESEARCH METHODOLOGY: HYPOTHESIS BUILDING
           2.2.1 BOTTOM-UP APPROACH
                    FIGURE 7 BOTTOM-UP APPROACH
           2.2.2 TOP-DOWN APPROACH
                    FIGURE 8 TOP-DOWN APPROACH
                    FIGURE 9 MARKET SIZE ESTIMATION NOTES
           2.2.3 RECESSION IMPACT ANALYSIS
    2.3 DATA TRIANGULATION 
           FIGURE 10 DATA TRIANGULATION
           FIGURE 11 MARKET GROWTH PROJECTIONS FROM DEMAND-SIDE DRIVERS
    2.4 FACTOR ANALYSIS 
           2.4.1 FACTOR ANALYSIS FOR MARKET SIZING: DEMAND AND SUPPLY SIDES
    2.5 RESEARCH ASSUMPTIONS 
    2.6 RESEARCH LIMITATIONS 
 
3 EXECUTIVE SUMMARY (Page No. - 69)
    FIGURE 12 SENSOR FUSION MARKET FOR AUTOMOTIVE: MARKET OVERVIEW 
    FIGURE 13 BY REGION,  2023–2030 (USD MILLION) 
    FIGURE 14 HISTORICAL ROADMAP FOR MARKET 
    FIGURE 15 L3 TO BE FASTEST-GROWING SEGMENT DURING FORECAST PERIOD 
 
4 PREMIUM INSIGHTS (Page No. - 74)
    4.1 ATTRACTIVE OPPORTUNITIES FOR PLAYERS IN SENSOR FUSION MARKET FOR AUTOMOTIVE 
           FIGURE 16 TECHNOLOGICAL DEVELOPMENTS AND FAVORABLE GOVERNMENT REGULATIONS TO DRIVE MARKET
    4.2 MARKET, BY REGION 
           FIGURE 17 ASIA PACIFIC TO LEAD MARKET AT HIGHEST GROWTH RATE BY 2030
    4.3 MARKET,  BY LEVEL OF AUTONOMY 
           FIGURE 18 L3 VEHICLES TO DRIVE LEVEL OF AUTONOMY SEGMENT (2023–2030)
    4.4 MARKET, BY VEHICLE TYPE 
           FIGURE 19 PASSENGER CAR SEGMENT TO DOMINATE MARKET DURING FORECAST PERIOD
    4.5 MARKET, BY ELECTRIC VEHICLE TYPE 
           FIGURE 20 BATTERY ELECTRIC VEHICLE SEGMENT TO WITNESS FASTEST GROWTH DURING FORECAST PERIOD (2023–2030)
    4.6 MARKET,  BY SENSOR PLATFORM APPROACH 
           FIGURE 21 MID-LEVEL FUSION SEGMENT TO GROW AT HIGHEST CAGR DURING  FORECAST PERIOD
    4.7 MARKET, BY FUSION LEVEL 
           FIGURE 22 DATA FUSION SEGMENT TO HAVE LARGEST MARKET SHARE DURING FORECAST PERIOD
    4.8 MARKET, BY TECHNOLOGY 
           FIGURE 23 AUTONOMOUS DRIVING SEGMENT TO ACCOUNT FOR LARGER MARKET SHARE DURING FORECAST PERIOD
 
5 MARKET OVERVIEW (Page No. - 79)
    5.1 INTRODUCTION 
           FIGURE 24 DIFFERENT SENSORS IN ADAS SYSTEMS
    5.2 MARKET DYNAMICS 
           FIGURE 25 SENSOR FUSION MARKET FOR AUTOMOTIVE: MARKET DYNAMICS
           5.2.1 DRIVERS
                    5.2.1.1 Increasing development and adoption of autonomous vehicles
                               FIGURE 26 SAFETY FEATURES IN SELF-DRIVING, AUTOMATED, AND CONNECTED VEHICLES
                    5.2.1.2 Growing adherence to safety regulations for vehicles
                               FIGURE 27 REGULATORY SAFETY FEATURES BY EUROPEAN COMMISSION IN 2022
                    5.2.1.3 Increasing advancements in ADAS technology
                               FIGURE 28 ADAS FUNCTIONS PROVIDED BY OEMS
                               FIGURE 29 EVOLUTION OF ADAS FUNCTIONS
                    5.2.1.4 Rising need to ensure data accuracy in all weather conditions
                               FIGURE 30 IMPACT OF WEATHER ON SENSOR-ENABLED VEHICLES
                               FIGURE 31 SENSORS USED FOR AUTONOMOUS FUNCTIONS
           5.2.2 RESTRAINTS
                    5.2.2.1 High cost of installing and maintaining multiple sensors
                               TABLE 12 COST ANALYSIS OF AUTOMOTIVE SENSORS
                    5.2.2.2 Data privacy concerns
                               FIGURE 32 VEHICLE ATTACK VECTORS
           5.2.3 OPPORTUNITIES
                    5.2.3.1 Rising demand for safer and sustainable transportation solutions
                               FIGURE 33 FUEL ECONOMY IMPROVEMENTS USING ADAS SYSTEMS
                    5.2.3.2 Increasing adoption of ADAS in modern vehicles
                               FIGURE 34 GROWING SALES OF ADAS EQUIPPED CARS, 2019–2022 (THOUSAND UNITS)
                    5.2.3.3 Growing consumer acceptance of L3 and L4 autonomous vehicles
                               FIGURE 35 AUTONOMOUS VEHICLES READINESS INDEX
           5.2.4 CHALLENGES
                    5.2.4.1 Complex management of high volume of sensor data
                               FIGURE 36 DATA GENERATED BY CONNECTED VEHICLES
                    5.2.4.2 High operational cost of cybersecurity measures
                               FIGURE 37 COMMON ATTACK VECTORS IN CONNECTING VEHICLES, 2010–2022
                    5.2.4.3 Compatibility and integration challenges in hardware and software components
                               FIGURE 38 DIFFERENT TYPES OF SENSORS
                               TABLE 13 IMPACT OF MARKET DYNAMICS
    5.3 OEM ADAS/AD ADOPTION PROGRESS 
           FIGURE 39 AUTONOMOUS DRIVING MILESTONE
           5.3.1 GENERAL MOTORS
                    FIGURE 40 GENERAL MOTORS: FUTURE PLANS FOR SENSOR FUSION
           5.3.2 FORD MOTOR COMPANY
                    FIGURE 41 FORD MOTOR COMPANY: FUTURE PLANS FOR SENSOR FUSION
           5.3.3 HYUNDAI MOTOR COMPANY
                    FIGURE 42 HYUNDAI MOTOR COMPANY: FUTURE PLANS FOR SENSOR FUSION
           5.3.4 VOLKSWAGEN AG
                    FIGURE 43 VOLKSWAGEN AG: FUTURE PLANS FOR SENSOR FUSION
           5.3.5 TOYOTA MOTOR CORPORATION
                    FIGURE 44 TOYOTA MOTOR CORPORATION: FUTURE PLANS FOR SENSOR FUSION
           5.3.6 MERCEDES-BENZ
                    FIGURE 45 MERCEDES-BENZ: FUTURE PLANS FOR SENSOR FUSION
           5.3.7 RENAULT-NISSAN
                    FIGURE 46 RENAULT-NISSAN: FUTURE PLANS FOR SENSOR FUSION
           5.3.8 STELLANTIS NV
                    FIGURE 47 STELLANTIS NV: FUTURE PLANS FOR SENSOR FUSION
           5.3.9 ACURA
           5.3.10 BMW
           5.3.11 VOLVO
    5.4 TECH PLAYERS PROVIDING SENSOR FUSION SOLUTIONS 
           5.4.1 MOBILEYE GLOBAL INC.
                    5.4.1.1 Analysis of company developments
                               TABLE 14 MOBILEYE GLOBAL INC.: SOC OFFERINGS
                               TABLE 15 MOBILEYE GLOBAL INC.: SOC COMPARISON
                               TABLE 16 MOBILEYE GLOBAL INC.: TIER I PARTNERSHIPS
                               TABLE 17 MOBILEYE GLOBAL INC.: OEM PARTNERSHIPS
                    5.4.1.2 Future plans for sensor fusion
           5.4.2 NVIDIA CORPORATION
                    5.4.2.1 Analysis of company developments
                               TABLE 18 NVIDIA CORPORATION: SOC COMPARISON
                               TABLE 19 NVIDIA CORPORATION: TIER I PARTNERSHIPS
                               TABLE 20 NVIDIA CORPORATION: OEM PARTNERSHIPS
                    5.4.2.2 Future plans for sensor fusion
           5.4.3 QUALCOMM INCORPORATED
                    5.4.3.1 Analysis of company developments
                               TABLE 21 QUALCOMM INCORPORATED: SOC COMPARISON
                               TABLE 22 QUALCOMM INCORPORATED: TIER I PARTNERSHIPS
                               TABLE 23 QUALCOMM INCORPORATED: OEM PARTNERSHIPS
                    5.4.3.2 Future plans for sensor fusion
           5.4.4 HUAWEI TECHNOLOGIES CO., LTD.
                    5.4.4.1 Analysis of company developments
                               TABLE 24 HUAWEI TECHNOLOGIES CO., LTD.: SOC COMPARISON
                               TABLE 25 HUAWEI TECHNOLOGIES CO., LTD.: OEM PARTNERSHIPS
                    5.4.4.2 Future plans for sensor fusion
           5.4.5 AMBARELLA, INC.
                    5.4.5.1 Analysis of company developments
                               TABLE 26 AMBARELLA, INC.: SOC COMPARISON
                               TABLE 27 AMBARELLA, INC.: TIER I PARTNERSHIPS
                    5.4.5.2 Future plans for sensor fusion
           5.4.6 TESLA, INC.
                    5.4.6.1 Analysis of company developments
                               TABLE 28 TESLA, INC.: SOC COMPARISON
                    5.4.6.2 Future plans for sensor fusion
           5.4.7 RENESAS ELECTRONICS CORPORATION
                    5.4.7.1 Analysis of company developments
                               TABLE 29 RENESAS ELECTRONICS CORPORATION: SOC COMPARISON
                               TABLE 30 RENESAS ELECTRONICS CORPORATION: OEM PARTNERSHIPS
                    5.4.7.2 Future plans for sensor fusion
           5.4.8 HORIZON ROBOTICS
                    5.4.8.1 Analysis of company developments
                               TABLE 31 HORIZON ROBOTICS: SOC COMPARISON
                               TABLE 32 HORIZON ROBOTICS: OEM PARTNERSHIPS
                    5.4.8.2 Future plans for sensor fusion
           5.4.9 XILINX, INC.
                    5.4.9.1 Analysis of company developments
                               TABLE 33 XILINX, INC.: SOC COMPARISON
                               TABLE 34 XILINX, INC.: OEM PARTNERSHIPS
                    5.4.9.2 Future plans for sensor fusion
    5.5 ECOSYSTEM MAPPING 
           FIGURE 48 ECOSYSTEM ANALYSIS
           5.5.1 SENSOR FUSION PROVIDERS
           5.5.2 SYSTEM-ON-CHIP PROVIDERS
           5.5.3 SENSOR PROVIDERS
           5.5.4 OEMS
                    TABLE 35 ROLE OF COMPANIES IN ECOSYSTEM
    5.6 TOOLS AND BUILDING BLOCKS OF SOFTWARE-DEFINED VEHICLES 
    5.7 SUPPLY CHAIN ANALYSIS 
           FIGURE 49 SUPPLY CHAIN ANALYSIS
    5.8 KEY STAKEHOLDERS AND BUYING CRITERIA 
           5.8.1 PASSENGER CARS
           5.8.2 COMMERCIAL VEHICLES
           5.8.3 KEY STAKEHOLDERS IN BUYING PROCESS
                    FIGURE 50 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS
                    TABLE 36 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS (%)
           5.8.4 BUYING CRITERIA
                    FIGURE 51 KEY BUYING CRITERIA FOR AUTONOMOUS VEHICLES
                    TABLE 37 KEY BUYING CRITERIA FOR AUTONOMOUS VEHICLES
    5.9 PRICING ANALYSIS 
           TABLE 38 AVERAGE SELLING PRICE ANALYSIS, BY REGION, 2022
           TABLE 39 AVERAGE SELLING PRICE ANALYSIS, BY REGION, 2030
           TABLE 40 L2+/L3 AD SOFTWARE SUITE PRICE BY LEADING OEMS, 2022
    5.10 KEY CONFERENCES AND EVENTS IN 2023–2024 
           TABLE 41 LIST OF CONFERENCES AND EVENTS, 2023–2024
    5.11 TECHNOLOGY ANALYSIS 
           5.11.1 DEEP LEARNING-BASED SENSOR FUSION
                    FIGURE 52 RENESAS ELECTRONICS CORPORATION: SENSOR FUSION WITH DEEP LEARNING
           5.11.2 ARTIFICIAL INTELLIGENCE FOR SENSOR FUSION
                    FIGURE 53 RENESAS ELECTRONICS CORPORATION: AI-BASED SENSOR FUSION
           5.11.3 EDGE COMPUTING FOR SENSOR FUSION
                    FIGURE 54 EDGE COMPUTING SYSTEM ARCHITECTURE
           5.11.4 BLOCKCHAIN FOR SENSOR FUSION DATA
                    FIGURE 55 BLOCKCHAIN IN AUTONOMOUS VEHICLES
           5.11.5 SENSOR FUSION WITH KALMAN FILTER
                    FIGURE 56 KALMAN FILTER FOR SENSOR FUSION IN AUTONOMOUS VEHICLES
    5.12 PATENT ANALYSIS 
           5.12.1 INTRODUCTION
                    FIGURE 57 NUMBER OF PATENTS GRANTED, 2013–2022
                    FIGURE 58 PUBLICATION TRENDS
                    TABLE 42 INNOVATIONS AND PATENT REGISTRATIONS, 2018–2023
    5.13 CASE STUDY ANALYSIS 
           5.13.1 SOC SOLUTIONS SUPPORTING CAMERA AND RADAR SYSTEMS
           5.13.2 ENHANCED DRIVING CAPABILITIES BY UTILIZING WAYMO DRIVER
           5.13.3 SELF-DRIVING DELIVERY VEHICLE WITH IMPROVED SAFETY
           5.13.4 MULTI-DOMAIN COMPUTING CAPABILITIES USING DRIVE THOR
           5.13.5 NAVIGATING COMPLEX URBAN LOCALITIES WITH DRIVE4U
    5.14 REGULATORY OVERVIEW 
           5.14.1 REGULATIONS ON AUTONOMOUS VEHICLES USAGE, BY COUNTRY
           5.14.2 REGULATIONS AND INITIATIVES ON ADAS, BY COUNTRY
           5.14.3 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
                    TABLE 43 NORTH AMERICA: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
                    TABLE 44 EUROPE: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
                    TABLE 45 ASIA PACIFIC: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
    5.15 TRENDS AND DISRUPTIONS IMPACTING CUSTOMER BUSINESS 
                    FIGURE 59 REVENUE SHIFT AND NEW REVENUE POCKETS FOR SENSOR FUSION MARKET FOR AUTOMOTIVE
    5.16 MARKET SCENARIOS,  2023–2030 
           5.16.1 MOST LIKELY SCENARIO
                    FIGURE 60 FUTURE TRENDS AND SCENARIOS, 2023–2030 (USD MILLION)
                    TABLE 46 MARKET (MOST LIKELY), BY REGION,  2023–2030 (USD MILLION)
           5.16.2 OPTIMISTIC SCENARIO
                    TABLE 47 MARKET (OPTIMISTIC), BY REGION,  2023–2030 (USD MILLION)
           5.16.3 PESSIMISTIC SCENARIO
                    TABLE 48 MARKET (PESSIMISTIC), BY REGION,  2023–2030 (USD MILLION)
 
6 SENSOR FUSION MARKET FOR AUTOMOTIVE, BY LEVEL OF AUTONOMY (Page No. - 145)
    6.1 INTRODUCTION 
           FIGURE 61 AUTOMATION LEVELS IN AUTONOMOUS CARS
           FIGURE 62 MARKET, BY LEVEL OF AUTONOMY,  2023–2030 (USD MILLION)
           TABLE 49 MARKET, BY LEVEL OF AUTONOMY,  2019–2022 (THOUSAND UNITS)
           TABLE 50 MARKET, BY LEVEL OF AUTONOMY,  2023–2030 (THOUSAND UNITS)
           TABLE 51 MARKET, BY LEVEL OF AUTONOMY,  2019–2022 (USD MILLION)
           TABLE 52 MARKET, BY LEVEL OF AUTONOMY,  2023–2030 (USD MILLION)
    6.2 L2 
           6.2.1 LANE KEEPING ASSIST, 360-DEGREE SURROUND VIEW, AND ADAPTIVE CRUISE CONTROL CAPABILITIES TO DRIVE MARKET
                    TABLE 53 OEM OFFERINGS, BY LEVEL OF AUTONOMY
                    TABLE 54 L2: SENSOR FUSION MARKET FOR AUTOMOTIVE, BY REGION,  2019–2022 (THOUSAND UNITS)
                    TABLE 55 L2: MARKET, BY REGION,  2023–2030 (THOUSAND UNITS)
                    TABLE 56 L2: MARKET, BY REGION, 2019–2022 (USD MILLION)
                    TABLE 57 L2: MARKET, BY REGION, 2023–2030 (USD MILLION)
    6.3 L3 
           6.3.1 RISING DEMAND FOR ROAD SAFETY TO DRIVE MARKET
                    TABLE 58 L3: MARKET, BY REGION,  2019–2022 (THOUSAND UNITS)
                    TABLE 59 L3: MARKET, BY REGION,  2023–2030 (THOUSAND UNITS)
                    TABLE 60 L3: MARKET, BY REGION, 2019–2022 (USD MILLION)
                    TABLE 61 L3: MARKET, BY REGION, 2023–2030 (USD MILLION)
    6.4 L4 
           6.4.1 GROWING SHIFT TOWARD FULL AUTOMATION TO DRIVE MARKET
                    TABLE 62 L4: MARKET, BY REGION,  2023–2030 (THOUSAND UNITS)
                    TABLE 63 L4: MARKET, BY REGION, 2023–2030 (USD MILLION)
    6.5 KEY INDUSTRY INSIGHTS 
 
7 SENSOR FUSION MARKET FOR AUTOMOTIVE, BY VEHICLE TYPE (Page No. - 155)
    7.1 INTRODUCTION 
           FIGURE 63 MARKET, BY VEHICLE TYPE,  2023–2030 (USD MILLION)
           TABLE 64 MARKET, BY VEHICLE TYPE,  2019–2022 (THOUSAND UNITS)
           TABLE 65 MARKET, BY VEHICLE TYPE,  2023–2030 (THOUSAND UNITS)
           TABLE 66 MARKET, BY VEHICLE TYPE,  2019–2022 (USD MILLION)
           TABLE 67 MARKET, BY VEHICLE TYPE,  2023–2030 (USD MILLION)
    7.2 PASSENGER CAR 
           7.2.1 INCREASING DEMAND FOR SAFER, COMFORTABLE, AND LUXURY VEHICLES TO DRIVE MARKET
                    TABLE 68 UPCOMING AND OPERATIONAL SENSOR FUSION-ENABLED PASSENGER CAR MODELS
                    TABLE 69 PASSENGER CAR: SENSOR FUSION MARKET FOR AUTOMOTIVE, BY REGION,  2019–2022 (THOUSAND UNITS)
                    TABLE 70 PASSENGER CAR: MARKET, BY REGION,  2023–2030 (THOUSAND UNITS)
                    TABLE 71 PASSENGER CAR: MARKET, BY REGION,  2019–2022 (USD MILLION)
                    TABLE 72 PASSENGER CAR: MARKET, BY REGION,  2023–2030 (USD MILLION)
    7.3 LIGHT COMMERCIAL VEHICLE 
           7.3.1 RISING DEMAND FOR IMPROVED NAVIGATION AND OBSTACLE DETECTION TO DRIVE MARKET
                    TABLE 73 UPCOMING AND OPERATIONAL SENSOR FUSION-ENABLED LIGHT COMMERCIAL VEHICLES
                    TABLE 74 LIGHT COMMERCIAL VEHICLE: MARKET, BY REGION, 2019–2022 (THOUSAND UNITS)
                    TABLE 75 LIGHT COMMERCIAL VEHICLE: MARKET, BY REGION, 2023–2030 (THOUSAND UNITS)
                    TABLE 76 LIGHT COMMERCIAL VEHICLE: MARKET, BY REGION, 2019–2022 (USD MILLION)
                    TABLE 77 LIGHT COMMERCIAL VEHICLE: MARKET, BY REGION, 2023–2030 (USD MILLION)
    7.4 HEAVY COMMERCIAL VEHICLE 
           7.4.1 GROWING UTILIZATION FOR COST-EFFECTIVE COMMERCIAL TRANSPORTATION TO DRIVE MARKET
                    TABLE 78 HEAVY COMMERCIAL VEHICLE: SENSOR FUSION MARKET FOR AUTOMOTIVE, BY REGION, 2019–2022 (THOUSAND UNITS)
                    TABLE 79 HEAVY COMMERCIAL VEHICLE: MARKET, BY REGION, 2023–2030 (THOUSAND UNITS)
                    TABLE 80 HEAVY COMMERCIAL VEHICLE: MARKET, BY REGION, 2019–2022 (USD MILLION)
                    TABLE 81 HEAVY COMMERCIAL VEHICLE: MARKET, BY REGION, 2023–2030 (USD MILLION)
    7.5 KEY INDUSTRY INSIGHTS 
 
8 SENSOR FUSION MARKET FOR AUTOMOTIVE, BY ELECTRIC VEHICLE TYPE (Page No. - 165)
    8.1 INTRODUCTION 
           FIGURE 64 MARKET, BY ELECTRIC VEHICLE TYPE, 2023–2030 (USD MILLION)
           TABLE 82 MARKET, BY ELECTRIC VEHICLE TYPE,  2019–2022 (THOUSAND UNITS)
           TABLE 83 MARKET, BY ELECTRIC VEHICLE TYPE,  2023–2030 (THOUSAND UNITS)
           TABLE 84 MARKET, BY ELECTRIC VEHICLE TYPE, 2019–2022 (USD MILLION)
           TABLE 85 MARKET, BY ELECTRIC VEHICLE TYPE, 2023–2030 (USD MILLION)
    8.2 OPERATIONAL DATA 
           TABLE 86 SENSOR FUSION ENABLED L2 ELECTRIC VEHICLES BY LEADING OEMS
    8.3 BATTERY ELECTRIC VEHICLE 
           8.3.1 RISING INCLINATION TOWARD SENSOR FUSION EQUIPPED MODELS TO DRIVE MARKET
                    TABLE 87 BATTERY ELECTRIC VEHICLE: SENSOR FUSION MARKET FOR AUTOMOTIVE, BY REGION,  2019–2022 (THOUSAND UNITS)
                    TABLE 88 BATTERY ELECTRIC VEHICLE: MARKET, BY REGION,  2023–2030 (THOUSAND UNITS)
                    TABLE 89 BATTERY ELECTRIC VEHICLE: MARKET, BY REGION,  2019–2022 (USD MILLION)
                    TABLE 90 BATTERY ELECTRIC VEHICLE: MARKET, BY REGION,  2023–2030 (USD MILLION)
    8.4 PLUG-IN ELECTRIC VEHICLE 
           8.4.1 LARGER BATTERY PACKS AND ABILITY TO TRAVEL LONGER DISTANCES TO DRIVE MARKET
                    TABLE 91 PLUG-IN ELECTRIC VEHICLE: MARKET, BY REGION,  2019–2022 (THOUSAND UNITS)
                    TABLE 92 PLUG-IN ELECTRIC VEHICLE: MARKET, BY REGION, 2023–2030 (THOUSAND UNITS)
                    TABLE 93 PLUG-IN ELECTRIC VEHICLE: MARKET, BY REGION,  2019–2022 (USD MILLION)
                    TABLE 94 PLUG-IN ELECTRIC VEHICLE: MARKET, BY REGION,  2023–2030 (USD MILLION)
    8.5 FUEL CELL ELECTRIC VEHICLE 
           8.5.1 INCREASING ADOPTION OF L2 ADAS SYSTEMS IN ELECTRIC VEHICLES TO DRIVE MARKET
                    TABLE 95 FUEL CELL ELECTRIC VEHICLE: SENSOR FUSION MARKET FOR AUTOMOTIVE, BY REGION,  2019–2022 (THOUSAND UNITS)
                    TABLE 96 FUEL CELL ELECTRIC VEHICLE: MARKET, BY REGION,  2023–2030 (THOUSAND UNITS)
                    TABLE 97 FUEL CELL ELECTRIC VEHICLE: MARKET, BY REGION,  2019–2022 (USD MILLION)
                    TABLE 98 FUEL CELL ELECTRIC VEHICLE: MARKET, BY REGION,  2023–2030 (USD MILLION)
    8.6 KEY INDUSTRY INSIGHTS 
 
9 SENSOR FUSION MARKET FOR AUTOMOTIVE,  BY SENSOR PLATFORM APPROACH (Page No. - 174)
    9.1 INTRODUCTION 
           FIGURE 65 MARKET, BY SENSOR PLATFORM APPROACH, 2023–2030 (USD MILLION)
           TABLE 99 MARKET, BY SENSOR PLATFORM APPROACH, 2019–2022 (USD MILLION)
           TABLE 100 MARKET, BY SENSOR PLATFORM APPROACH,  2023–2030 (USD MILLION)
           TABLE 101 SENSOR FUSION LEVEL COMPARISON
    9.2 HIGH-LEVEL FUSION 
           9.2.1 INCREASING DEMAND FOR IMPROVED DRIVING EXPERIENCE IN AUTONOMOUS VEHICLES TO DRIVE MARKET
                    TABLE 102 HIGH-LEVEL FUSION: SENSOR FUSION MARKET FOR AUTOMOTIVE, BY REGION,  2019–2022 (USD MILLION)
                    TABLE 103 HIGH-LEVEL FUSION: MARKET, BY REGION,  2023–2030 (USD MILLION)
    9.3 MID-LEVEL FUSION 
           9.3.1 BETTER TRACKING AND OBJECT DETECTION CAPABILITIES TO DRIVE MARKET
                    TABLE 104 MID-LEVEL FUSION: MARKET, BY REGION,  2019–2022 (USD MILLION)
                    TABLE 105 MID-LEVEL FUSION: MARKET, BY REGION,  2023–2030 (USD MILLION)
    9.4 LOW-LEVEL FUSION 
           9.4.1 GROWING ADOPTION IN AUTONOMOUS VEHICLES, INDUSTRIAL AUTOMATION, AND ROBOTICS TO DRIVE MARKET
                    TABLE 106 LOW-LEVEL FUSION: MARKET, BY REGION,  2019–2022 (USD MILLION)
                    TABLE 107 LOW-LEVEL FUSION: MARKET, BY REGION,  2023–2030 (USD MILLION)
    9.5 KEY INDUSTRY INSIGHTS 
 
10 SENSOR FUSION MARKET FOR AUTOMOTIVE,  BY FUSION LEVEL (Page No. - 181)
     10.1 INTRODUCTION 
               FIGURE 66 DIFFERENT FUSION LEVELS FOR SENSOR INFORMATION
               FIGURE 67 MARKET, BY FUSION LEVEL,  2023–2030 (USD MILLION)
               TABLE 108 MARKET, BY FUSION LEVEL,  2019–2022 (USD MILLION)
               TABLE 109 MARKET, BY FUSION LEVEL,  2023–2030 (USD MILLION)
     10.2 DATA FUSION 
             10.2.1 RISING FOCUS ON DECISION MAKING IN DYNAMIC DRIVING SITUATIONS TO DRIVE MARKET
                       TABLE 110 DATA FUSION: SENSOR FUSION MARKET FOR AUTOMOTIVE, BY REGION,  2019–2022 (USD MILLION)
                       TABLE 111 DATA FUSION: MARKET, BY REGION,  2023–2030 (USD MILLION)
     10.3 FEATURE FUSION 
             10.3.1 INCREASED USE IN L2+ AND L4 VEHICLES TO DRIVE MARKET
                       TABLE 112 FEATURE FUSION: MARKET, BY REGION,  2019–2022 (USD MILLION)
                       TABLE 113 FEATURE FUSION: MARKET, BY REGION,  2023–2030 (USD MILLION)
     10.4 DECISION FUSION 
             10.4.1 LOWER PROCESSING CAPACITY AND REAL-TIME DRIVING DECISION CAPABILITIES TO DRIVE MARKET
                       TABLE 114 DECISION FUSION: MARKET, BY REGION,  2019–2022 (USD MILLION)
                       TABLE 115 DECISION FUSION: MARKET, BY REGION,  2023–2030 (USD MILLION)
     10.5 KEY INDUSTRY INSIGHTS 
 
11 SENSOR FUSION MARKET FOR AUTOMOTIVE, BY ALGORITHM (Page No. - 188)
     11.1 INTRODUCTION 
     11.2 KALMAN FILTER 
             11.2.1 GROWING ADOPTION IN SEMI-AUTOMATED VEHICLES, UNMANNED VEHICLES, AND SELF-DRIVING CARS TO DRIVE MARKET
                       FIGURE 68 KALMAN FILTER FOR SENSOR FUSION IN AUTOMOTIVE
     11.3 BAYESIAN FILTER 
             11.3.1 INCREASING USE OF NOISE SENSORS TO DRIVE MARKET
     11.4 CENTRAL LIMIT THEOREM 
             11.4.1 LOW COMPUTATIONAL COMPLEXITY TO DRIVE MARKET
     11.5 CONVOLUTIONAL NEURAL NETWORK 
             11.5.1 FAULT FEATURE DETECTION CAPABILITIES TO DRIVE MARKET
 
12 SENSOR FUSION MARKET FOR AUTOMOTIVE, BY DATA FUSION TYPE (Page No. - 190)
     12.1 INTRODUCTION 
     12.2 HOMOGENEOUS 
             12.2.1 INCREASING DEMAND FOR REDUCING DATA OVERLOAD TO DRIVE MARKET
     12.3 HETEROGENEOUS 
             12.3.1 GROWING REQUIREMENT FOR ENHANCED SYSTEM PERFORMANCE IN AUTONOMOUS VEHICLES TO DRIVE MARKET
 
13 SENSOR FUSION MARKET FOR AUTOMOTIVE, BY TECHNOLOGY (Page No. - 191)
     13.1 INTRODUCTION 
               FIGURE 69 MARKET, BY TECHNOLOGY,  2023–2030 (USD MILLION)
               TABLE 116 MARKET, BY TECHNOLOGY,  2019–2022 (THOUSAND UNITS)
               TABLE 117 MARKET, BY TECHNOLOGY,  2023–2030 (THOUSAND UNITS)
               TABLE 118 MARKET, BY TECHNOLOGY,  2019–2022 (USD MILLION)
               TABLE 119 MARKET, BY TECHNOLOGY,  2023–2030 (USD MILLION)
     13.2 ADAS 
             13.2.1 GROWING INVESTMENTS BY AUTOMAKERS TO DRIVE MARKET
                       TABLE 120 OEM OFFERINGS WITH ADAS FEATURES
                       TABLE 121 ADAS: SENSOR FUSION MARKET FOR AUTOMOTIVE, BY REGION,  2019–2022 (THOUSAND UNITS)
                       TABLE 122 ADAS: MARKET, BY REGION,  2023–2030 (THOUSAND UNITS)
                       TABLE 123 ADAS: MARKET, BY REGION,  2019–2022 (USD MILLION)
                       TABLE 124 ADAS: MARKET, BY REGION,  2023–2030 (USD MILLION)
     13.3 AUTONOMOUS DRIVING 
             13.3.1 RISING NEED TO REPLACE MANUAL CONTROL WITH AUTOMATED FUNCTIONS TO DRIVE MARKET
                       TABLE 125 AUTONOMOUS DRIVING: MARKET, BY REGION,  2019–2022 (THOUSAND UNITS)
                       TABLE 126 AUTONOMOUS DRIVING: MARKET, BY REGION,  2023–2030 (THOUSAND UNITS)
                       TABLE 127 AUTONOMOUS DRIVING: MARKET, BY REGION,  2019–2022 (USD MILLION)
                       TABLE 128 AUTONOMOUS DRIVING: MARKET, BY REGION,  2023–2030 (USD MILLION)
     13.4 KEY INDUSTRY INSIGHTS 
 
14 SENSOR FUSION MARKET FOR AUTOMOTIVE, BY REGION (Page No. - 199)
     14.1 INTRODUCTION 
               TABLE 129 PHASES IN DEVELOPMENT OF AUTONOMOUS VEHICLES AND THEIR IMPACT ON MARKET
               FIGURE 70 MARKET, BY REGION,  2023–2030 (USD MILLION)
               TABLE 130 MARKET, BY REGION,  2019–2022 (THOUSAND UNITS)
               TABLE 131 MARKET, BY REGION,  2023–2030 (THOUSAND UNITS)
               TABLE 132 MARKET, BY REGION, 2019–2022 (USD MILLION)
               TABLE 133 MARKET, BY REGION, 2023–2030 (USD MILLION)
     14.2 ASIA PACIFIC 
             14.2.1 ASIA PACIFIC: RECESSION IMPACT ANALYSIS
                       FIGURE 71 ASIA PACIFIC: SENSOR FUSION MARKET FOR AUTOMOTIVE SNAPSHOT
                       TABLE 134 ASIA PACIFIC: MARKET, BY COUNTRY,  2019–2022 (THOUSAND UNITS)
                       TABLE 135 ASIA PACIFIC: MARKET, BY COUNTRY,  2023–2030 (THOUSAND UNITS)
                       TABLE 136 ASIA PACIFIC: MARKET, BY COUNTRY,  2019–2022 (USD MILLION)
                       TABLE 137 ASIA PACIFIC: MARKET, BY COUNTRY,  2023–2030 (USD MILLION)
             14.2.2 CHINA
                       14.2.2.1 Increasing domestic vehicle production and adoption of cloud infrastructure for autonomous driving applications to drive market
                                   TABLE 138 KEY COMPANIES AND PARTNERS IN CHINA FOR AUTONOMOUS VEHICLE TECHNOLOGY
                                   TABLE 139 AUTOMOTIVE SENSOR FUSION STARTUPS IN CHINA
                                   TABLE 140 CHINA: MARKET, BY LEVEL OF AUTONOMY, 2019–2022 (THOUSAND UNITS)
                                   TABLE 141 CHINA: MARKET, BY LEVEL OF AUTONOMY,  2023–2030 (THOUSAND UNITS)
                                   TABLE 142 CHINA: MARKET, BY LEVEL OF AUTONOMY,  2019–2022 (USD MILLION)
                                   TABLE 143 CHINA: MARKET, BY LEVEL OF AUTONOMY,  2023–2030 (USD MILLION)
             14.2.3 JAPAN
                       14.2.3.1 Rising incorporation of sensor fusion technology in mid-range automobiles to drive market
                                   TABLE 144 AUTOMOTIVE SENSOR FUSION STARTUPS IN JAPAN
                                   TABLE 145 JAPAN: SENSOR FUSION MARKET FOR AUTOMOTIVE, BY LEVEL OF AUTONOMY,  2019–2022 (THOUSAND UNITS)
                                   TABLE 146 JAPAN: MARKET, BY LEVEL OF AUTONOMY,  2023–2030 (THOUSAND UNITS)
                                   TABLE 147 JAPAN: MARKET, BY LEVEL OF AUTONOMY,  2019–2022 (USD MILLION)
                                   TABLE 148 JAPAN: MARKET, BY LEVEL OF AUTONOMY,  2023–2030 (USD MILLION)
             14.2.4 SOUTH KOREA
                       14.2.4.1 Future Vehicle Industry Development Strategy to drive market
                                   TABLE 149 AUTOMOTIVE SENSOR FUSION STARTUPS IN SOUTH KOREA
                                   TABLE 150 SOUTH KOREA: MARKET, BY LEVEL OF AUTONOMY, 2019–2022 (THOUSAND UNITS)
                                   TABLE 151 SOUTH KOREA: MARKET, BY LEVEL OF AUTONOMY, 2023–2030 (THOUSAND UNITS)
                                   TABLE 152 SOUTH KOREA: MARKET, BY LEVEL OF AUTONOMY, 2019–2022 (USD MILLION)
                                   TABLE 153 SOUTH KOREA: MARKET, BY LEVEL OF AUTONOMY, 2023–2030 (USD MILLION)
             14.2.5 INDIA
                       14.2.5.1 Growing shift to emission-friendly vehicles and better safety regulations to drive market
                                   TABLE 154 AUTOMOTIVE SENSOR FUSION STARTUPS IN INDIA
                                   TABLE 155 INDIA: SENSOR FUSION MARKET FOR AUTOMOTIVE, BY LEVEL OF AUTONOMY,  2019–2022 (THOUSAND UNITS)
                                   TABLE 156 INDIA: MARKET, BY LEVEL OF AUTONOMY,  2023–2030 (THOUSAND UNITS)
                                   TABLE 157 INDIA: MARKET, BY LEVEL OF AUTONOMY,  2019–2022 (USD MILLION)
                                   TABLE 158 INDIA: MARKET, BY LEVEL OF AUTONOMY,  2023–2030 (USD MILLION)
     14.3 EUROPE 
               FIGURE 72 EUROPE: MARKET, BY COUNTRY,  2023–2030 (USD MILLION)
               TABLE 159 EUROPE: MARKET, BY COUNTRY,  2019–2022 (THOUSAND UNITS)
               TABLE 160 EUROPE: MARKET, BY COUNTRY,  2023–2030 (THOUSAND UNITS)
               TABLE 161 EUROPE: MARKET, BY COUNTRY,  2019–2022 (USD MILLION)
               TABLE 162 EUROPE: MARKET, BY COUNTRY,  2023–2030 (USD MILLION)
             14.3.1 EUROPE: RECESSION IMPACT ANALYSIS
             14.3.2 GERMANY
                       14.3.2.1 Autonomous Driving Act and implementation of L4 automated parking to drive market
                                   TABLE 163 AUTOMOTIVE SENSOR FUSION STARTUPS IN GERMANY
                                   TABLE 164 GERMANY: SENSOR FUSION MARKET FOR AUTOMOTIVE, BY LEVEL OF AUTONOMY,  2019–2022 (THOUSAND UNITS)
                                   TABLE 165 GERMANY: MARKET, BY LEVEL OF AUTONOMY,  2023–2030 (THOUSAND UNITS)
                                   TABLE 166 GERMANY: MARKET, BY LEVEL OF AUTONOMY,  2019–2022 (USD MILLION)
                                   TABLE 167 GERMANY: MARKET, BY LEVEL OF AUTONOMY,  2023–2030 (USD MILLION)
             14.3.3 FRANCE
                       14.3.3.1 Growing government mandates for road safety and acceptance of automated vehicles to drive market
                                   TABLE 168 AUTOMOTIVE SENSOR FUSION STARTUPS IN FRANCE
                                   TABLE 169 FRANCE: MARKET, BY LEVEL OF AUTONOMY,  2019–2022 (THOUSAND UNITS)
                                   TABLE 170 FRANCE: MARKET, BY LEVEL OF AUTONOMY, 2023–2030 (THOUSAND UNITS)
                                   TABLE 171 FRANCE: MARKET, BY LEVEL OF AUTONOMY,  2019–2022 (USD MILLION)
                                   TABLE 172 FRANCE: MARKET, BY LEVEL OF AUTONOMY,  2023–2030 (USD MILLION)
             14.3.4 ITALY
                       14.3.4.1 Rising demand for luxury cars with advanced safety features and testing of sensor fusion-enabled L3 passenger cars to drive market
                                   TABLE 173 ITALY: SENSOR FUSION MARKET FOR AUTOMOTIVE, BY LEVEL OF AUTONOMY,  2019–2022 (THOUSAND UNITS)
                                   TABLE 174 ITALY: MARKET, BY LEVEL OF AUTONOMY,  2023–2030 (THOUSAND UNITS)
                                   TABLE 175 ITALY: MARKET, BY LEVEL OF AUTONOMY,  2019–2022 (USD MILLION)
                                   TABLE 176 ITALY: MARKET, BY LEVEL OF AUTONOMY,  2023–2030 (USD MILLION)
             14.3.5 SPAIN
                       14.3.5.1 Evolving consumer preference and regulatory changes to drive market
                                   TABLE 177 AUTOMOTIVE SENSOR FUSION STARTUPS IN SPAIN
                                   TABLE 178 SPAIN: MARKET, BY LEVEL OF AUTONOMY,  2019–2022 (THOUSAND UNITS)
                                   TABLE 179 SPAIN: MARKET, BY LEVEL OF AUTONOMY,  2023–2030 (THOUSAND UNITS)
                                   TABLE 180 SPAIN: MARKET, BY LEVEL OF AUTONOMY,  2019–2022 (USD MILLION)
                                   TABLE 181 SPAIN: MARKET, BY LEVEL OF AUTONOMY,  2023–2030 (USD MILLION)
             14.3.6 UK
                       14.3.6.1 Increasing demand and export of luxury and sports cars to drive market
                                   TABLE 182 AUTOMOTIVE SENSOR FUSION STARTUPS IN UK
                                   TABLE 183 UK: SENSOR FUSION MARKET FOR AUTOMOTIVE, BY LEVEL OF AUTONOMY,  2019–2022 (THOUSAND UNITS)
                                   TABLE 184 UK: MARKET, BY LEVEL OF AUTONOMY,  2023–2030 (THOUSAND UNITS)
                                   TABLE 185 UK: MARKET, BY LEVEL OF AUTONOMY,  2019–2022 (USD MILLION)
                                   TABLE 186 UK: MARKET, BY LEVEL OF AUTONOMY,  2023–2030 (USD MILLION)
     14.4 NORTH AMERICA 
             14.4.1 NORTH AMERICA: RECESSION IMPACT ANALYSIS
                       FIGURE 73 NORTH AMERICA: MARKET SNAPSHOT
                       TABLE 187 NORTH AMERICA: MARKET, BY COUNTRY,  2019–2022 (THOUSAND UNITS)
                       TABLE 188 NORTH AMERICA: MARKET, BY COUNTRY,  2023–2030 (THOUSAND UNITS)
                       TABLE 189 NORTH AMERICA: MARKET, BY COUNTRY,  2019–2022 (USD MILLION)
                       TABLE 190 NORTH AMERICA: MARKET, BY COUNTRY,  2023–2030 (USD MILLION)
             14.4.2 US
                       14.4.2.1 Growing demand for sensor fusion in ADAS-enabled vehicles and increasing investments by automakers to drive market
                                   TABLE 191 AUTOMOTIVE SENSOR FUSION STARTUPS IN US
                                   TABLE 192 US: SENSOR FUSION MARKET FOR AUTOMOTIVE, BY LEVEL OF AUTONOMY, 2019–2022 (THOUSAND UNITS)
                                   TABLE 193 US: MARKET, BY LEVEL OF AUTONOMY,  2023–2030 (THOUSAND UNITS)
                                   TABLE 194 US: MARKET, BY LEVEL OF AUTONOMY,  2019–2022 (USD MILLION)
                                   TABLE 195 US: MARKET, BY LEVEL OF AUTONOMY,  2023–2030 (USD MILLION)
             14.4.3 CANADA
                       14.4.3.1 Favorable startup ecosystem and growing investments by government to develop and test autonomous vehicles to drive market
                                   TABLE 196 AUTOMOTIVE SENSOR FUSION STARTUPS IN CANADA
                                   TABLE 197 CANADA: MARKET, BY LEVEL OF AUTONOMY, 2019–2022 (THOUSAND UNITS)
                                   TABLE 198 CANADA: MARKET, BY LEVEL OF AUTONOMY,  2023–2030 (THOUSAND UNITS)
                                   TABLE 199 CANADA: MARKET, BY LEVEL OF AUTONOMY,  2019–2022 (USD MILLION)
                                   TABLE 200 CANADA: MARKET, BY LEVEL OF AUTONOMY,  2023–2030 (USD MILLION)
 
15 COMPETITIVE LANDSCAPE (Page No. - 238)
     15.1 OVERVIEW 
     15.2 RANKING ANALYSIS 
               FIGURE 74 RANKING ANALYSIS, 2023
     15.3 KEY PLAYERS’ STRATEGIES, 2020–2023 
               TABLE 201 KEY PLAYERS’ STRATEGIES, 2020–2023
     15.4 REVENUE ANALYSIS 
               FIGURE 75 REVENUE ANALYSIS OF TOP 5 PLAYERS, 2022
     15.5 COMPANY EVALUATION MATRIX 
             15.5.1 STARS
             15.5.2 EMERGING LEADERS
             15.5.3 PERVASIVE PLAYERS
             15.5.4 PARTICIPANTS
                       FIGURE 76 KEY PLAYERS: COMPANY EVALUATION MATRIX, 2023
                       FIGURE 77 HARDWARE PROVIDERS: COMPANY EVALUATION MATRIX, 2023
             15.5.5 COMPANY FOOTPRINT
                       TABLE 202 COMPANY FOOTPRINT, 2023
                       TABLE 203 COMPANY FOOTPRINT, BY VEHICLE TYPE, 2023
                       TABLE 204 COMPANY FOOTPRINT, BY REGION, 2023
     15.6 STARTUP/SME EVALUATION MATRIX 
             15.6.1 PROGRESSIVE COMPANIES
             15.6.2 RESPONSIVE COMPANIES
             15.6.3 DYNAMIC COMPANIES
             15.6.4 STARTING BLOCKS
             15.6.5 COMPETITIVE BENCHMARKING
                       TABLE 205 LIST OF KEY STARTUPS/SMES
                       TABLE 206 COMPETITIVE BENCHMARKING OF STARTUPS/SMES
                       FIGURE 78 STARTUP/SME EVALUATION MATRIX, 2023
     15.7 COMPETITIVE SCENARIOS AND TRENDS 
             15.7.1 DEALS
                       TABLE 207 DEALS, 2023
             15.7.2 PRODUCT LAUNCHES
                       TABLE 208 PRODUCT LAUNCHES, 2023
             15.7.3 OTHERS
                       TABLE 209 OTHERS, 2021–2023
 
16 COMPANY PROFILES (Page No. - 254)
     16.1 KEY PLAYERS 
(Business Overview, Products Offered, Recent Developments, and MnM View (Key strengths/Right to Win, Strategic Choices Made, and Weaknesses and Competitive Threats))*
             16.1.1 MOBILEYE GLOBAL INC.
                       TABLE 210 MOBILEYE GLOBAL INC.: COMPANY OVERVIEW
                       FIGURE 79 MOBILEYE GLOBAL INC.: COMPANY SNAPSHOT
                       FIGURE 80 MOBILEYE EYEQ 6 HIGH PLATFORM
                       FIGURE 81 MOBILEYE EYEQ 6 LIGHT PLATFORM
                       TABLE 211 MOBILEYE GLOBAL INC.: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 212 MOBILEYE GLOBAL INC.: PRODUCT DEVELOPMENTS
                       TABLE 213 MOBILEYE GLOBAL INC.: DEALS
             16.1.2 NVIDIA CORPORATION
                       TABLE 214 NVIDIA CORPORATION: COMPANY OVERVIEW
                       FIGURE 82 NVIDIA CORPORATION: COMPANY SNAPSHOT
                       FIGURE 83 NVIDIA DRIVE PLATFORM
                       FIGURE 84 NVIDIA DRIVE THOR PLATFORM
                       TABLE 215 NVIDIA CORPORATION: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 216 NVIDIA CORPORATION: PRODUCT DEVELOPMENTS
                       TABLE 217 NVIDIA CORPORATION: DEALS
             16.1.3 QUALCOMM INCORPORATED
                       TABLE 218 QUALCOMM INCORPORATED: COMPANY OVERVIEW
                       FIGURE 85 QUALCOMM INCORPORATED: COMPANY SNAPSHOT
                       FIGURE 86 QUALCOMM SNAPDRAGON RIDE SOFTWARE PLATFORM FOR AUTONOMOUS VEHICLES
                       FIGURE 87 QUALCOMM SNAPDRAGON RIDE VISION SOC
                       FIGURE 88 QUALCOMM SNAPDRAGON RIDE VISION PLATFORM
                       TABLE 219 QUALCOMM INCORPORATED: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 220 QUALCOMM INCORPORATED: PRODUCT DEVELOPMENTS
                       TABLE 221 QUALCOMM INCORPORATED: DEALS
             16.1.4 TESLA, INC.
                       TABLE 222 TESLA, INC.: COMPANY OVERVIEW
                       FIGURE 89 TESLA, INC.: COMPANY SNAPSHOT
                       TABLE 223 TESLA, INC.: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 224 TESLA, INC.: DEALS
                       TABLE 225 TESLA, INC.: OTHERS
             16.1.5 HUAWEI TECHNOLOGIES CO., LTD.
                       TABLE 226 HUAWEI TECHNOLOGIES CO., LTD.: COMPANY OVERVIEW
                       FIGURE 90 HUAWEI TECHNOLOGIES CO., LTD.: COMPANY SNAPSHOT
                       FIGURE 91 HUAWEI ADS 2.0 VS. TESLA AUTOPILOT
                       TABLE 227 HUAWEI TECHNOLOGIES CO., LTD.: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 228 HUAWEI TECHNOLOGIES CO., LTD.: PRODUCT DEVELOPMENTS
                       TABLE 229 HUAWEI TECHNOLOGIES CO., LTD.: DEALS
                       TABLE 230 HUAWEI TECHNOLOGIES CO., LTD.: OTHERS
             16.1.6 WAYMO LLC
                       TABLE 231 WAYMO LLC: COMPANY OVERVIEW
                       FIGURE 92 WAYMO DRIVER SETUP
                       TABLE 232 WAYMO LLC: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 233 WAYMO LLC: PRODUCT DEVELOPMENTS
                       TABLE 234 WAYMO LLC: DEALS
             16.1.7 DATASPEED INC.
                       TABLE 235 DATASPEED INC.: COMPANY OVERVIEW
                       TABLE 236 DATASPEED INC.: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 237 DATASPEED INC.: PRODUCT DEVELOPMENTS
                       TABLE 238 DATASPEED INC.: DEALS
             16.1.8 LEDDARTECH
                       TABLE 239 LEDDARTECH: COMPANY OVERVIEW
                       FIGURE 93 LEDDARVISION ENVIRONMENTAL PERCEPTION FRAMEWORK FOR AUTONOMOUS VEHICLES
                       TABLE 240 LEDDARTECH: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 241 LEDDARTECH: PRODUCT DEVELOPMENTS
                       TABLE 242 LEDDARTECH: DEALS
                       TABLE 243 LEDDARTECH: OTHERS
             16.1.9 VECTOR INFORMATIK
                       TABLE 244 VECTOR INFORMATIK: COMPANY OVERVIEW
                       FIGURE 94 BASELABS DATA FUSION TECHNOLOGY
                       TABLE 245 VECTOR INFORMATIK: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 246 VECTOR INFORMATIK: PRODUCT DEVELOPMENTS
                       TABLE 247 VECTOR INFORMATIK: DEALS
             16.1.10 BAIDU, INC.
                       TABLE 248 BAIDU, INC.: COMPANY OVERVIEW
                       FIGURE 95 BAIDU, INC.: COMPANY SNAPSHOT
                       FIGURE 96 BAIDU APOLLO PLATFORM
                       FIGURE 97 BAIDU APOLLO PLATFORM APPLICATIONS
                       TABLE 249 BAIDU, INC.: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 250 BAIDU, INC.: PRODUCT DEVELOPMENTS
                       TABLE 251 BAIDU, INC.: DEALS
             16.1.11 RENESAS ELECTRONICS CORPORATION
                       TABLE 252 RENESAS ELECTRONICS CORPORATION: COMPANY OVERVIEW
                       FIGURE 98 RENESAS ELECTRONICS CORPORATION: COMPANY SNAPSHOT
                       TABLE 253 RENESAS ELECTRONICS CORPORATION: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 254 RENESAS ELECTRONICS CORPORATION: PRODUCT DEVELOPMENTS
                       TABLE 255 RENESAS ELECTRONICS CORPORATION: DEALS
             16.1.12 MICROCHIP TECHNOLOGY
                       TABLE 256 MICROCHIP TECHNOLOGY: COMPANY OVERVIEW
                       FIGURE 99 MICROCHIP TECHNOLOGY: COMPANY SNAPSHOT
                       FIGURE 100 MICROCHIP’S DIGITAL COCKPIT
                       TABLE 257 MICROCHIP TECHNOLOGY: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 258 MICROCHIP TECHNOLOGY: PRODUCT DEVELOPMENTS
                       TABLE 259 MICROCHIP TECHNOLOGY: DEALS
     16.2 HARDWARE PROVIDERS 
             16.2.1 ROBERT BOSCH GMBH
                       TABLE 260 ROBERT BOSCH GMBH: COMPANY OVERVIEW
                       FIGURE 101 ROBERT BOSCH GMBH: COMPANY SNAPSHOT
                       FIGURE 102 BOSCH ADAS SYSTEMS
                       TABLE 261 ROBERT BOSCH GMBH: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 262 ROBERT BOSCH GMBH: PRODUCT DEVELOPMENTS
                       TABLE 263 ROBERT BOSCH GMBH: DEALS
                       TABLE 264 ROBERT BOSCH GMBH: OTHERS
             16.2.2 CONTINENTAL AG
                       TABLE 265 CONTINENTAL AG: COMPANY OVERVIEW
                       FIGURE 103 CONTINENTAL AG: COMPANY SNAPSHOT
                       TABLE 266 CONTINENTAL AG: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 267 CONTINENTAL AG: PRODUCT DEVELOPMENTS
                       TABLE 268 CONTINENTAL AG: DEALS
                       TABLE 269 CONTINENTAL AG: OTHERS
             16.2.3 ZF FRIEDRICHSHAFEN AG
                       TABLE 270 ZF FRIEDRICHSHAFEN AG: COMPANY OVERVIEW
                       FIGURE 104 ZF FRIEDRICHSHAFEN AG: COMPANY SNAPSHOT
                       FIGURE 105 ZF FRIEDRICHSHAFEN AG ADAS SYSTEMS FOR AUTONOMOUS VEHICLES
                       TABLE 271 ZF FRIEDRICHSHAFEN AG: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 272 ZF FRIEDRICHSHAFEN AG: PRODUCT DEVELOPMENTS
                       TABLE 273 ZF FRIEDRICHSHAFEN AG: DEALS
             16.2.4 DENSO CORPORATION
                       TABLE 274 DENSO CORPORATION: COMPANY OVERVIEW
                       FIGURE 106 DENSO CORPORATION: COMPANY SNAPSHOT
                       TABLE 275 DENSO CORPORATION: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 276 DENSO CORPORATION: PRODUCT DEVELOPMENTS
                       TABLE 277 DENSO CORPORATION: DEALS
             16.2.5 NXP SEMICONDUCTORS
                       TABLE 278 NXP SEMICONDUCTORS: COMPANY OVERVIEW
                       FIGURE 107 NXP SEMICONDUCTORS: COMPANY SNAPSHOT
                       TABLE 279 NXP SEMICONDUCTORS: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 280 NXP SEMICONDUCTORS: PRODUCT DEVELOPMENTS
                       TABLE 281 NXP SEMICONDUCTORS: DEALS
             16.2.6 ALLEGRO MICROSYSTEMS
                       TABLE 282 ALLEGRO MICROSYSTEMS: COMPANY OVERVIEW
                       FIGURE 108 ALLEGRO MICROSYSTEMS: COMPANY SNAPSHOT
                       TABLE 283 ALLEGRO MICROSYSTEMS: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 284 ALLEGRO MICROSYSTEMS: PRODUCT DEVELOPMENTS
                       TABLE 285 ALLEGRO MICROSYSTEMS: DEALS
             16.2.7 STMICROELECTRONICS
                       TABLE 286 STMICROELECTRONICS: COMPANY OVERVIEW
                       FIGURE 109 STMICROELECTRONICS: COMPANY SNAPSHOT
                       TABLE 287 STMICROELECTRONICS: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 288 STMICROELECTRONICS: PRODUCT DEVELOPMENTS
                       TABLE 289 STMICROELECTRONICS: DEALS
             16.2.8 APTIV PLC
                       TABLE 290 APTIV PLC: COMPANY OVERVIEW
                       FIGURE 110 APTIV PLC: COMPANY SNAPSHOT
                       FIGURE 111 APTIV PLC: AUTONOMOUS VEHICLE ARCHITECTURE
                       TABLE 291 APTIV PLC: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 292 APTIV PLC: PRODUCT DEVELOPMENTS
                       TABLE 293 APTIV PLC: DEALS
                       TABLE 294 APTIV PLC: OTHERS
             16.2.9 INFINEON TECHNOLOGIES
                       TABLE 295 INFINEON TECHNOLOGIES: COMPANY OVERVIEW
                       FIGURE 112 INFINEON TECHNOLOGIES: COMPANY SNAPSHOT
                       TABLE 296 INFINEON TECHNOLOGIES: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 297 INFINEON TECHNOLOGIES: PRODUCT DEVELOPMENTS
                       TABLE 298 INFINEON TECHNOLOGIES: DEALS
     16.3 OTHER PLAYERS 
             16.3.1 ZOOX, INC.
                       TABLE 299 ZOOX, INC.: COMPANY OVERVIEW
             16.3.2 AURORA INNOVATION INC.
                       TABLE 300 AURORA INNOVATION INC.: COMPANY OVERVIEW
             16.3.3 CTS CORPORATION
                       TABLE 301 CTS CORPORATION: COMPANY OVERVIEW
             16.3.4 MEMSIC SEMICONDUCTOR (TIANJIN) CO., LTD.
                       TABLE 302 MEMSIC SEMICONDUCTOR (TIANJIN) CO., LTD.: COMPANY OVERVIEW
             16.3.5 KIONIX, INC.
                       TABLE 303 KIONIX, INC.: COMPANY OVERVIEW
             16.3.6 TDK CORPORATION
                       TABLE 304 TDK CORPORATION: COMPANY OVERVIEW
             16.3.7 MONOLITHIC POWER SYSTEMS, INC.
                       TABLE 305 MONOLITHIC POWER SYSTEMS, INC.: COMPANY OVERVIEW
             16.3.8 IBEO AUTOMOTIVE SYSTEMS GMBH
                       TABLE 306 IBEO AUTOMOTIVE SYSTEMS GMBH: COMPANY OVERVIEW
             16.3.9 MAGNA INTERNATIONAL
                       TABLE 307 MAGNA INTERNATIONAL: COMPANY OVERVIEW
             16.3.10 ANALOG DEVICES
                       TABLE 308 ANALOG DEVICES: COMPANY OVERVIEW
             16.3.11 VISTEON CORPORATION
                       TABLE 309 VISTEON CORPORATION: COMPANY OVERVIEW
             16.3.12 PHANTOM AI
                       TABLE 310 PHANTOM AI: COMPANY OVERVIEW
             16.3.13 NEOUSYS TECHNOLOGY
                       TABLE 311 NEOUSYS TECHNOLOGY: COMPANY OVERVIEW
             16.3.14 TE CONNECTIVITY LTD.
                       TABLE 312 TE CONNECTIVITY LTD.: COMPANY OVERVIEW
             16.3.15 MICRON TECHNOLOGY
                       TABLE 313 MICRON TECHNOLOGY: COMPANY OVERVIEW
             16.3.16 XILINX, INC.
                       TABLE 314 XILINX, INC.: COMPANY OVERVIEW
             16.3.17 AMBARELLA, INC.
                       TABLE 315 AMBARELLA, INC.: COMPANY OVERVIEW
*Details on Business Overview, Products Offered, Recent Developments, and MnM View (Key strengths/Right to Win, Strategic Choices Made, and Weaknesses and Competitive Threats) might not be captured in case of unlisted companies.
 
17 RECOMMENDATIONS BY MARKETSANDMARKETS (Page No. - 377)
     17.1 ASIA PACIFIC TO BE MOST LUCRATIVE SENSOR FUSION MARKET FOR AUTOMOTIVE 
     17.2 TECHNOLOGICAL ADVANCEMENTS TO LEAD TO MARKET DEVELOPMENT 
     17.3 LEVEL 3 AND LEVEL 4 AUTONOMOUS VEHICLES TO GROW EXPONENTIALLY IN FUTURE 
     17.4 CONCLUSION 
 
18 APPENDIX (Page No. - 380)
     18.1 KEY INSIGHTS FROM INDUSTRY EXPERTS 
     18.2 DISCUSSION GUIDE 
     18.3 KNOWLEDGESTORE: MARKETSANDMARKETS’  SUBSCRIPTION PORTAL 
     18.4 CUSTOMIZATION OPTIONS 
     18.5 RELATED REPORTS 
     18.6 AUTHOR DETAILS 

The study involved four major activities in estimating 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 child markets. The next step was to validate these findings, assumptions, and sizing with the industry experts across value chains through primary research. The top-down and bottom-up approaches were employed to estimate the complete market size. Thereafter, market breakdown and data triangulation processes were used to estimate the market size of segments and subsegments.

Secondary Research

In the secondary research process, various secondary sources were used to identify and collect information for this study on the sensor fusion market for automotive. The secondary sources included annual reports, press releases, and investor presentations of companies; whitepapers, certified publications, and articles from recognized authors, directories, and databases; and articles from recognized associations and government publishing sources.

Primary Research

Extensive primary research was conducted after acquiring an understanding of the scenario of the sensor fusion market for automotive through secondary research. Several primary interviews were conducted with market experts from both the demand (OEMs) and supply (hardware providers, SOC providers, sensor fusion providers, and other component manufacturers) sides across three major regions, namely, North America, Europe and Asia Pacific. Approximately 52% and 48% of primary interviews were conducted from the demand and supply sides, respectively. Primary data was collected through questionnaires, emails, and telephonic interviews. In the canvassing of primaries, various departments within organizations were covered, such as sales, operations, and administration, to provide a holistic viewpoint in this report.

After interacting with industry experts, brief sessions with highly experienced independent consultants were also conducted to reinforce the findings from primaries. This, along with the in-house subject-matter experts’ opinions, led to the findings described in the remainder of this report.

Sensor Fusion Market for Automotive Size, and Share

To know about the assumptions considered for the study, download the pdf brochure

Market Size Estimation

The bottom-up approach was used to estimate and validate the size of the sensor fusion market for automotive. This method was also used extensively to estimate the size of various subsegments in the market. The research methodology used to estimate the market size includes the following:

  • The key players in the industry and markets have been identified through extensive secondary research
  • The industry’s supply chain and market size, in terms of volume, have been determined through primary and secondary research processes
  • All percentage shares, splits, and breakdowns have been determined using secondary sources and verified through primary sources

Sensor Fusion Market for Automotive Size, and Share

To know about the assumptions considered for the study, Request for Free Sample Report

Market Size Validation

The top-down approach was used to determine the size of the sensor fusion market for automotive for the component, software, propulsion, vehicle type, sensor platform approach, and sensor fusion process. The total market size in value (USD million) was derived using the top-down approach.
For instance, the market for the component segment was derived using the top-down approach to estimate the hardware and software subsegments. Mapping was carried out at the regional level to understand the contribution by type of component. The market size was derived at the regional level in terms of value. The total value of the market was multiplied by the cost penetration percentage of each segment at the regional level.

Sensor Fusion Market for Automotive Size, and Share

Data Triangulation

After arriving at the overall market size of the global market through the above-mentioned methodology, this market was split into several segments and subsegments. The data triangulation and market breakdown procedure were employed, wherever applicable, to complete the overall market engineering process and arrive at the exact market value data for the key segments and subsegments. The extrapolated market data was triangulated by studying various macro indicators and regional trends from both the demand- and supply-side participants.

Market Definition

Sensor fusion is the process of combining data from multiple sensors to create a more comprehensive and accurate representation of the environment. It is used in a variety of applications, including autonomous vehicles, advanced driver assistance systems (ADAS). In vehicles, sensor fusion is used to improve the accuracy and reliability of perception systems. Perception systems are responsible for understanding the vehicle's surroundings, including the presence and location of other vehicles, pedestrians, cyclists, and objects.

List of Key Stakeholders

  • Automotive Sensor Manufacturers
  • ADAS Integrators
  • ADAS Solution Suppliers
  • Automotive Component Manufacturers
  • Automotive SoC (system on chip) and ECU (electronic control unit) Manufacturers
  • Automotive Software and Platform Providers
  • Autonomous Driving Platform Providers
  • Connectivity Service Providers
  • Country-specific Automotive Associations
  • Designing and Testing Companies
  • European Automobile Manufacturers’ Association (ACEA)
  • National Highway Traffic Safety Administration (NHTSA)

Report Objectives

  • To segment and forecast the sensors fusion market in terms of volume (thousand units) and value (USD million)
  • To define, describe, and forecast the sensor fusion market based on technology, level of autonomy, application, data fusion type, fusion level, EV type, vehicle type, sensor platform approach, algorithm and region
  • To segment the market and forecast its size, by volume and value, based on region (Asia Pacific, Europe, and North America)
  • To analyze and forecast the sensor fusion market for automotive based on fusion level (data, feature, and decision)
  • To analyze and forecast the market based on sensor platform approach (low-level fusion, mid-level fusion, high-level fusion)
  • To qualitatively analyze the market based on data fusion type (homogeneous and heterogeneous)
  • To analyze and forecast the market based on ICE vehicle type [passenger car, light commercial vehicle (LCV), and heavy commercial vehicle (HCV)]
  • To analyze and forecast the market 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 market based on by level of autonomy (L2, L3, and L4)
  • To qualitatively analyze the market based on sensor type[Camera, Radar, Lidar, Ultrasonic Sensor, Infrared Sensor]
  • To qualitatively analyze the market based on Algorithm [Kalman filter, Bayesian filter, central limit theorem, convolutional neural network]
  • To analyze and forecast the market based on technology [ADAS, autonomous driving]
  • To analyze the technological developments impacting the sensor fusion market
  • To analyze opportunities for stakeholders and the competitive landscape for market leaders
  • To provide detailed information regarding the major factors influencing the market growth (drivers, challenges, restraints, and opportunities)
  • To strategically analyze markets with respect to individual growth trends, prospects, and contributions to the total market
  • To study the following with respect to the market
    • Value Chain Analysis
    • Ecosystem Analysis
    • Porter’s Five Forces Analysis
    • Technology Analysis
    • Case Study Analysis
    • Patent Analysis
    • Buying Criteria
  • To strategically profile key players and comprehensively analyze their market shares and core competencies
  • To track and analyze competitive developments such as deals (joint ventures, mergers & acquisitions, partnerships, collaborations), new product developments, and other activities carried out by key industry participants

Available Customizations

With the given market data, MarketsandMarkets offers customizations in line with company-specific needs.

  • Further breakdown of the sensor fusion market for automotive, by vehicle type
  • Additional countries (apart from those already considered in report) with significant sensor fusion market 

Company Information

  • Profiles of additional market players (up to five)
Custom Market Research Services

We will customize the research for you, in case the report listed above does not meet with your exact requirements. Our custom research will comprehensively cover the business information you require to help you arrive at strategic and profitable business decisions.

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Report Code
AT 7987
Published ON
Nov, 2023
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