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市场调查报告书
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1577098

到 2030 年汽车感测器融合市场预测：按感测器类型、车辆类型、组件、自主程度、技术、应用、最终用户和地区进行的全球分析

Automotive Sensor Fusion Market Forecasts to 2030 - Global Analysis By Sensor Type, Vehicle Type, Component, Autonomy Level, Technology, Application, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 200+ Pages | 商品交期: 2-3个工作天内

价格

根据Stratistics MRC的数据，2024年全球汽车感测器融合市场规模为15.8亿美元，预计2030年将达到69.2亿美元，预测期内复合年增长率为21.5%。

汽车感测器融合是指整合来自车辆内多个感测器的资料，以增强感知和决策能力。透过结合摄影机、雷达、光达和超音波感测器等各种来源的输入，该技术可以全面了解车辆周围的环境。透过实现即时资料处理和对动态驾驶环境的明智响应，提高安全性、导航准确性和整体车辆性能。

根据中国工业协会（CAAM）的数据，2022年4月，中国生产了约99.6万辆乘用车和21万辆商用车。

ADAS（进阶驾驶辅助系统）的需求不断增长

随着越来越多的消费者需要主动式车距维持定速系统、车道维持援助和自动紧急煞车等功能，汽车製造商正在投资感测器融合技术来满足这些需求。感测器融合整合来自不同感测器的资料，提高感知系统的准确性并实现即时决策。这一演变不仅确保了严格的安全法规的遵守，而且增强了消费者对车辆自动化的信心，并将汽车感测器融合组件和解决方案市场推向新的高度。

自动驾驶汽车的基础设施有限

具备必要通讯系统（例如车联网 (V2X)）的道路不足，限制了即时资料交换并降低了感测器融合的有效性。此外，缺乏支持性的法律规范和标准化测试环境也减缓了可靠自动驾驶系统的开发。这种不确定性限制了感测器融合技术的投资和创新，最终限制了自动驾驶汽车在市场上的扩充性和采用。

汽车电气化进展

随着电动车变得越来越流行，先进感测器系统的整合对于优化性能、能源效率和安全性至关重要。感测器融合可实现各种感测器之间的无缝通讯，以增强防撞、车道维持辅助和主动式车距维持定速系统控制等功能。此外，电动车自动驾驶技术的兴起高度依赖强大的感测器融合系统来处理即时资料并在汽车市场实现更高水准的自动化和消费者接受度。

技术挑战

汽车感测器融合的技术挑战源于整合具有不同资料格式、处理速度和环境敏感性的不同类型感测器的复杂性。在保持即时处理能力的同时实现准确可靠的资料融合是一个主要障碍。这些挑战可能会导致 ADAS 和自动驾驶汽车的开发成本增加并延长上市时间。因此，实现有效感测器融合的困难可能会阻碍创新安全功能的采用，并最终阻碍整个汽车产业的市场成长。

COVID-19 的影响

COVID-19 大流行扰乱了供应链并推迟了生产计划，导致汽车生产放缓，从而对汽车感测器融合市场产生了重大影响。但这场危机也加速了先进技术的采用，因为远距工作和社交距离提高了对安全和自动化的关注。人们对非接触式驾驶解决方案和增强的安全功能的兴趣日益浓厚，刺激了对感测器融合系统的需求，随着汽车製造商响应不断变化的消费者需求，市场逐渐復苏和增长。

预计资料融合领域在预测期内将是最大的

预计资料融合领域将在预测期内获得最大的市场占有率。车载感测器融合中的资料融合技术将多个感测器的资料结合起来，以获得对车辆周围环境的全面、准确的了解。它减少了盲点和能见度差等感测器限制，并改进了物体检测、追踪和分类，使车辆在各种驾驶条件下运行更安全、更可靠。

预计防撞细分市场在预测期间内复合年增长率最高

预计防撞产业在预测期内的复合年增长率最高。防撞应用中的汽车感测器融合整合了来自多个感测器的资料，以提供车辆周围环境的全面视图。透过分析这些综合讯息，系统可以准确地侦测障碍物、评估距离并预测碰撞的可能性。这种增强的情境察觉使 ADAS（高级驾驶员辅助系统）能够及时发出警告和自动制动，从而显着提高车辆安全性并减少道路上发生事故的可能性。

占比最大的地区：

由于 ADAS（高级驾驶辅助系统）和自动驾驶汽车的采用不断增加，亚太地区预计将在预测期内创下最大的市场占有率。快速的都市化、可支配收入的增加以及道路安全意识的提高都促进了对先进感测器技术的需求。中国、日本和韩国等国家透过研发投资处于汽车创新的前沿。此外，政府的支持措施以及汽车製造商和科技公司之间的合作伙伴关係正在进一步支持感测器融合解决方案在这个充满活力的市场中的成长。

复合年增长率最高的地区：

由于对安全性的高度重视以及 ADAS（高级驾驶辅助系统）的日益普及，预计北美地区在预测期内的复合年增长率最高。该地区是大型汽车製造商和科技公司的所在地，这些公司在创新和研究方面投入大量资金。此外，政府法规和消费者对道路安全的认识正在推动北美汽车产业采用先进的感测器融合解决方案。

免费客製化服务：

订阅此报告的客户可以存取以下免费自订选项之一：

  • 公司简介
    • 其他市场参与者的综合分析（最多 3 家公司）
    • 主要企业SWOT分析（最多3家企业）
  • 区域分割
    • 根据客户兴趣对主要国家的市场估计、预测和复合年增长率（註：基于可行性检查）
  • 竞争标基准化分析
    • 根据产品系列、地理分布和策略联盟对主要企业基准化分析

目录

第一章执行摘要

第二章 前言

  • 概述
  • 相关利益者
  • 调查范围
  • 调查方法
    • 资料探勘
    • 资料分析
    • 资料检验
    • 研究途径
  • 研究资讯来源
    • 主要研究资讯来源
    • 二次研究资讯来源
    • 先决条件

第三章市场趋势分析

  • 促进因素
  • 抑制因素
  • 机会
  • 威胁
  • 技术分析
  • 应用分析
  • 最终用户分析
  • 新兴市场
  • COVID-19 的影响

第4章波特五力分析

  • 供应商的议价能力
  • 买方议价能力
  • 替代品的威胁
  • 新进入者的威胁
  • 竞争公司之间的敌对关係

第五章全球汽车感测器融合市场：按感测器类型

  • 雷达感测器
  • 光达感测器
  • 超音波感测器
  • 红外线感测器
  • 压力感测器
  • 温度感测器
  • 其他感测器类型

第六章全球汽车感光元件融合市场：依车型分类

  • 客车
  • 商用车
  • 电动车（EV）
  • 其他车型

第七章全球汽车感光元件融合市场：依组件分类

  • 感应器
  • 微控制器
  • 通讯模组
  • 连接模组
  • 电源装置
  • 储存装置
  • 使用者介面
  • 其他组件

第八章全球汽车感光元件融合市场：依自主程度划分

  • 驾驶员援助
  • 部分自动化
  • 有条件自动化
  • 先进的自动化
  • 全自动

第九章全球汽车感测器融合市场：依技术分类

  • 资料融合
  • 互补融合
  • 卡尔曼滤波
  • 神经网路
  • 深度学习
  • 其他技术

第十章全球汽车感光元件融合市场：依应用分类

  • ADAS（进阶驾驶辅助系统）（ADAS）
  • 驾驶员监控系统
  • 盲点侦测
  • 停车协助
  • 车道偏离警示系统
  • 主动车距控制巡航系统(ACC)
  • 交通标誌识别
  • 避免碰撞
  • 其他用途

第十一章全球汽车感测器融合市场：依最终用户分类

  • 原始设备製造公司（OEM）
  • 售后供应商

第十二章全球汽车感测器融合市场：按地区

  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 义大利
    • 法国
    • 西班牙
    • 其他欧洲国家
  • 亚太地区
    • 日本
    • 中国
    • 印度
    • 澳洲
    • 纽西兰
    • 韩国
    • 其他亚太地区
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地区
  • 中东/非洲
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 卡达
    • 南非
    • 其他中东和非洲

第十三章 主要进展

  • 合约、伙伴关係、协作和合资企业
  • 收购和合併
  • 新产品发布
  • 业务拓展
  • 其他关键策略

第十四章 公司概况

  • Bosch
  • Continental AG
  • Aptiv PLC
  • Denso Corporation
  • Valeo
  • ZF Friedrichshafen AG
  • Veoneer Inc.
  • Texas Instruments Inc.
  • NXP Semiconductors
  • Renesas Electronics Corporation
  • Infineon Technologies AG
  • Analog Devices Inc.
  • Magna International
  • ON Semiconductor
  • TE Connectivity
Product Code: SMRC27407

According to Stratistics MRC, the Global Automotive Sensor Fusion Market is accounted for $1.58 billion in 2024 and is expected to reach $6.92 billion by 2030 growing at a CAGR of 21.5% during the forecast period. Automotive sensor fusion refers to the integration of data from multiple sensors within a vehicle to enhance perception and decision-making capabilities. By combining inputs from various sources, such as cameras, radar, lidar, and ultrasonic sensors, this technology provides a comprehensive understanding of the vehicle's surroundings. It enhances safety, navigational precision, and overall vehicle performance by allowing real-time data processing and informed responses to dynamic driving environments.

According to the China Association of Automobile Manufacturers (CAAM), in April 2022, about 996 thousand passenger vehicles and 210 thousand commercial vehicles were produced in China.

Market Dynamics:

Driver:

Growing demand for advanced driver-assistance systems (ADAS)

As consumers increasingly seek features like adaptive cruise control, lane-keeping assistance, and automated emergency braking, automakers are investing in sensor fusion technologies to meet these demands. Sensor fusion integrates data from various sensors, improving the accuracy of perception systems and enabling real-time decision-making. This evolution not only ensures compliance with stringent safety regulations but also boosts consumer confidence in vehicle automation, driving the market for automotive sensor fusion components and solutions to new heights.

Restraint:

Limited infrastructure for autonomous vehicles

Insufficient roadways equipped with necessary communication systems, such as V2X (Vehicle-to-Everything), restrict real-time data exchange and reduce the effectiveness of sensor fusion. Additionally, the lack of supportive regulatory frameworks and standardized testing environments slows the development of reliable autonomous systems. This uncertainty deters investment and innovation in sensor fusion technologies, ultimately limiting the scalability and adoption of autonomous vehicles in the market.

Opportunity:

Increasing vehicle electrification

Since EVs are becoming more prevalent, integrating sophisticated sensor systems becomes essential for optimizing performance, energy efficiency, and safety. Sensor fusion enables seamless communication between various sensors, enhancing functionalities like collision avoidance, lane-keeping assistance, and adaptive cruise control. Furthermore, the rise of autonomous driving technologies in electrified vehicles relies heavily on robust sensor fusion systems to process real-time data, making them crucial for achieving higher levels of automation and consumer acceptance in the automotive market.

Threat:

Technical challenges

Technical challenges in automotive sensor fusion stem from the complexity of integrating diverse sensor types which can have varying data formats, processing speeds, and environmental sensitivities. Ensuring accurate and reliable data fusion while maintaining real-time processing capabilities poses significant hurdles. These challenges can lead to increased development costs and prolonged time-to-market for ADAS and autonomous vehicles. Consequently, difficulties in achieving effective sensor fusion may hinder the adoption of innovative safety features, ultimately hampering overall market growth in the automotive sector.

Covid-19 Impact

The covid-19 pandemic significantly impacted the Automotive Sensor Fusion Market by disrupting supply chains and delaying production schedules, resulting in a slowdown of vehicle manufacturing. However, the crisis also accelerated the adoption of advanced technologies, as remote working and social distancing heightened the focus on safety and automation. Increased interest in contactless driving solutions and enhanced safety features fuelled demand for sensor fusion systems, leading to a gradual recovery and growth in the market as automotive manufacturers adapted to changing consumer needs.

The data fusion segment is expected to be the largest during the forecast period

The data fusion segment is predicted to secure the largest market share throughout the forecast period. Data fusion technology in automotive sensor fusion combines data from multiple sensors to create a comprehensive, accurate understanding of the vehicle's surroundings. It reduces sensor limitations, such as blind spots or poor visibility, and improves object detection, tracking, and classification, enabling safer, more reliable vehicle operation in various driving conditions.

The collision avoidance segment is expected to have the highest CAGR during the forecast period

The collision avoidance segment is anticipated to witness the highest CAGR during the forecast period. Automotive sensor fusion in collision avoidance applications integrates data from multiple sensors to create a comprehensive understanding of the vehicle's surroundings. By analyzing this combined information, the system can accurately detect obstacles, assess distances, and predict potential collisions. This enhanced situational awareness enables advanced driver assistance systems (ADAS) to initiate timely warnings or automatic braking, significantly improving vehicle safety and reducing the likelihood of accidents on the road.

Region with largest share:

Asia Pacific is expected to register the largest market share during the forecast period driven by the increasing adoption of advanced driver-assistance systems (ADAS) and autonomous vehicles. Rapid urbanization, rising disposable incomes and heightened awareness of road safety contribute to the demand for sophisticated sensor technologies. Countries like China, Japan, and South Korea are at the forefront of automotive innovation, with investments in research and development. Additionally, supportive government initiatives and partnerships between automotive manufacturers and technology firms are further propelling the growth of sensor fusion solutions in this dynamic market.

Region with highest CAGR:

North America is projected to witness the highest CAGR over the forecast period due to strong focus on safety and the increasing implementation of advanced driver-assistance systems (ADAS). The region is home to major automotive manufacturers and technology companies that invest heavily in innovation and research. Additionally, supportive government regulations and consumer awareness regarding road safety further fuel the adoption of sophisticated sensor fusion solutions across the North American automotive sector.

Key players in the market

Some of the key players profiled in the Automotive Sensor Fusion Market include Bosch, Continental AG, Aptiv PLC, Denso Corporation, Valeo, ZF Friedrichshafen AG, Veoneer Inc., Texas Instruments Inc., NXP Semiconductors, Renesas Electronics Corporation, Infineon Technologies AG, Analog Devices Inc., Magna International, ON Semiconductor and TE Connectivity.

Key Developments:

In March 2024, Bosch launched its next-generation Vehicle Motion and Position Sensor (VMPS). The VMPS is designed to integrate data from multiple sensors such as cameras, radar, and LIDAR, creating a highly accurate sensor fusion system for autonomous driving and advanced driver-assistance systems (ADAS).

In August 2023, Continental AG released its High-Resolution 3D Flash LIDAR sensor. This cutting-edge sensor is designed to significantly enhance the precision of object detection in autonomous vehicles. By utilizing high-resolution 3D Flash LIDAR technology, it provides a more accurate and detailed representation of the surrounding environment.

Sensor Types Covered:

  • Radar Sensors
  • LiDAR Sensors
  • Ultrasonic Sensors
  • Infrared Sensors
  • Pressure Sensors
  • Temperature Sensors
  • Other Sensor Types

Vehicle Types Covered:

  • Passenger Cars
  • Commercial Vehicles
  • Electric Vehicles (EVs)
  • Other Vehicle Types

Components Covered:

  • Sensors
  • Microcontrollers
  • Communication Modules
  • Connectivity Modules
  • Power Supply Units
  • Memory Devices
  • User Interfaces
  • Other Components

Autonomy Levels Covered:

  • Driver Assistance
  • Partial Automation
  • Conditional Automation
  • High Automation
  • Full Automation

Technologies Covered:

  • Data Fusion
  • Complementary Fusion
  • Kalman Filtering
  • Neural Networks
  • Deep Learning
  • Other Technologies

Applications Covered:

  • Advanced Driver Assistance Systems (ADAS)
  • Driver Monitoring Systems
  • Blind Spot Detection
  • Parking Assistance
  • Lane Departure Warning Systems
  • Adaptive Cruise Control (ACC)
  • Traffic Sign Recognition
  • Collision Avoidance
  • Other Applications

End Users Covered:

  • Original Equipment Manufacturers (OEMs)
  • Aftermarket Suppliers

Regions Covered:

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • Italy
    • France
    • Spain
    • Rest of Europe
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia
    • New Zealand
    • South Korea
    • Rest of Asia Pacific
  • South America
    • Argentina
    • Brazil
    • Chile
    • Rest of South America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Qatar
    • South Africa
    • Rest of Middle East & Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2022, 2023, 2024, 2026, and 2030
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface

  • 2.1 Abstract
  • 2.2 Stake Holders
  • 2.3 Research Scope
  • 2.4 Research Methodology
    • 2.4.1 Data Mining
    • 2.4.2 Data Analysis
    • 2.4.3 Data Validation
    • 2.4.4 Research Approach
  • 2.5 Research Sources
    • 2.5.1 Primary Research Sources
    • 2.5.2 Secondary Research Sources
    • 2.5.3 Assumptions

3 Market Trend Analysis

  • 3.1 Introduction
  • 3.2 Drivers
  • 3.3 Restraints
  • 3.4 Opportunities
  • 3.5 Threats
  • 3.6 Technology Analysis
  • 3.7 Application Analysis
  • 3.8 End User Analysis
  • 3.9 Emerging Markets
  • 3.10 Impact of Covid-19

4 Porters Five Force Analysis

  • 4.1 Bargaining power of suppliers
  • 4.2 Bargaining power of buyers
  • 4.3 Threat of substitutes
  • 4.4 Threat of new entrants
  • 4.5 Competitive rivalry

5 Global Automotive Sensor Fusion Market, By Sensor Type

  • 5.1 Introduction
  • 5.2 Radar Sensors
  • 5.3 LiDAR Sensors
  • 5.4 Ultrasonic Sensors
  • 5.5 Infrared Sensors
  • 5.6 Pressure Sensors
  • 5.7 Temperature Sensors
  • 5.8 Other Sensor Types

6 Global Automotive Sensor Fusion Market, By Vehicle Type

  • 6.1 Introduction
  • 6.2 Passenger Cars
  • 6.3 Commercial Vehicles
  • 6.4 Electric Vehicles (EVs)
  • 6.5 Other Vehicle Types

7 Global Automotive Sensor Fusion Market, By Component

  • 7.1 Introduction
  • 7.2 Sensors
  • 7.3 Microcontrollers
  • 7.4 Communication Modules
  • 7.5 Connectivity Modules
  • 7.6 Power Supply Units
  • 7.7 Memory Devices
  • 7.8 User Interfaces
  • 7.9 Other Components

8 Global Automotive Sensor Fusion Market, By Autonomy Level

  • 8.1 Introduction
  • 8.2 Driver Assistance
  • 8.3 Partial Automation
  • 8.4 Conditional Automation
  • 8.5 High Automation
  • 8.6 Full Automation

9 Global Automotive Sensor Fusion Market, By Technology

  • 9.1 Introduction
  • 9.2 Data Fusion
  • 9.3 Complementary Fusion
  • 9.4 Kalman Filtering
  • 9.5 Neural Networks
  • 9.6 Deep Learning
  • 9.7 Other Technologies

10 Global Automotive Sensor Fusion Market, By Application

  • 10.1 Introduction
  • 10.2 Advanced Driver Assistance Systems (ADAS)
  • 10.3 Driver Monitoring Systems
  • 10.4 Blind Spot Detection
  • 10.5 Parking Assistance
  • 10.6 Lane Departure Warning Systems
  • 10.7 Adaptive Cruise Control (ACC)
  • 10.8 Traffic Sign Recognition
  • 10.9 Collision Avoidance
  • 10.10 Other Applications

11 Global Automotive Sensor Fusion Market, By End User

  • 11.1 Introduction
  • 11.2 Original Equipment Manufacturers (OEMs)
  • 11.3 Aftermarket Suppliers

12 Global Automotive Sensor Fusion Market, By Geography

  • 12.1 Introduction
  • 12.2 North America
    • 12.2.1 US
    • 12.2.2 Canada
    • 12.2.3 Mexico
  • 12.3 Europe
    • 12.3.1 Germany
    • 12.3.2 UK
    • 12.3.3 Italy
    • 12.3.4 France
    • 12.3.5 Spain
    • 12.3.6 Rest of Europe
  • 12.4 Asia Pacific
    • 12.4.1 Japan
    • 12.4.2 China
    • 12.4.3 India
    • 12.4.4 Australia
    • 12.4.5 New Zealand
    • 12.4.6 South Korea
    • 12.4.7 Rest of Asia Pacific
  • 12.5 South America
    • 12.5.1 Argentina
    • 12.5.2 Brazil
    • 12.5.3 Chile
    • 12.5.4 Rest of South America
  • 12.6 Middle East & Africa
    • 12.6.1 Saudi Arabia
    • 12.6.2 UAE
    • 12.6.3 Qatar
    • 12.6.4 South Africa
    • 12.6.5 Rest of Middle East & Africa

13 Key Developments

  • 13.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 13.2 Acquisitions & Mergers
  • 13.3 New Product Launch
  • 13.4 Expansions
  • 13.5 Other Key Strategies

14 Company Profiling

  • 14.1 Bosch
  • 14.2 Continental AG
  • 14.3 Aptiv PLC
  • 14.4 Denso Corporation
  • 14.5 Valeo
  • 14.6 ZF Friedrichshafen AG
  • 14.7 Veoneer Inc.
  • 14.8 Texas Instruments Inc.
  • 14.9 NXP Semiconductors
  • 14.10 Renesas Electronics Corporation
  • 14.11 Infineon Technologies AG
  • 14.12 Analog Devices Inc.
  • 14.13 Magna International
  • 14.14 ON Semiconductor
  • 14.15 TE Connectivity

List of Tables

  • Table 1 Global Automotive Sensor Fusion Market Outlook, By Region (2022-2030) ($MN)
  • Table 2 Global Automotive Sensor Fusion Market Outlook, By Sensor Type (2022-2030) ($MN)
  • Table 3 Global Automotive Sensor Fusion Market Outlook, By Radar Sensors (2022-2030) ($MN)
  • Table 4 Global Automotive Sensor Fusion Market Outlook, By LiDAR Sensors (2022-2030) ($MN)
  • Table 5 Global Automotive Sensor Fusion Market Outlook, By Ultrasonic Sensors (2022-2030) ($MN)
  • Table 6 Global Automotive Sensor Fusion Market Outlook, By Infrared Sensors (2022-2030) ($MN)
  • Table 7 Global Automotive Sensor Fusion Market Outlook, By Pressure Sensors (2022-2030) ($MN)
  • Table 8 Global Automotive Sensor Fusion Market Outlook, By Temperature Sensors (2022-2030) ($MN)
  • Table 9 Global Automotive Sensor Fusion Market Outlook, By Other Sensor Types (2022-2030) ($MN)
  • Table 10 Global Automotive Sensor Fusion Market Outlook, By Vehicle Type (2022-2030) ($MN)
  • Table 11 Global Automotive Sensor Fusion Market Outlook, By Passenger Cars (2022-2030) ($MN)
  • Table 12 Global Automotive Sensor Fusion Market Outlook, By Commercial Vehicles (2022-2030) ($MN)
  • Table 13 Global Automotive Sensor Fusion Market Outlook, By Electric Vehicles (EVs) (2022-2030) ($MN)
  • Table 14 Global Automotive Sensor Fusion Market Outlook, By Other Vehicle Types (2022-2030) ($MN)
  • Table 15 Global Automotive Sensor Fusion Market Outlook, By Component (2022-2030) ($MN)
  • Table 16 Global Automotive Sensor Fusion Market Outlook, By Sensors (2022-2030) ($MN)
  • Table 17 Global Automotive Sensor Fusion Market Outlook, By Microcontrollers (2022-2030) ($MN)
  • Table 18 Global Automotive Sensor Fusion Market Outlook, By Communication Modules (2022-2030) ($MN)
  • Table 19 Global Automotive Sensor Fusion Market Outlook, By Connectivity Modules (2022-2030) ($MN)
  • Table 20 Global Automotive Sensor Fusion Market Outlook, By Power Supply Units (2022-2030) ($MN)
  • Table 21 Global Automotive Sensor Fusion Market Outlook, By Memory Devices (2022-2030) ($MN)
  • Table 22 Global Automotive Sensor Fusion Market Outlook, By User Interfaces (2022-2030) ($MN)
  • Table 23 Global Automotive Sensor Fusion Market Outlook, By Other Components (2022-2030) ($MN)
  • Table 24 Global Automotive Sensor Fusion Market Outlook, By Autonomy Level (2022-2030) ($MN)
  • Table 25 Global Automotive Sensor Fusion Market Outlook, By Driver Assistance (2022-2030) ($MN)
  • Table 26 Global Automotive Sensor Fusion Market Outlook, By Partial Automation (2022-2030) ($MN)
  • Table 27 Global Automotive Sensor Fusion Market Outlook, By Conditional Automation (2022-2030) ($MN)
  • Table 28 Global Automotive Sensor Fusion Market Outlook, By High Automation (2022-2030) ($MN)
  • Table 29 Global Automotive Sensor Fusion Market Outlook, By Full Automation (2022-2030) ($MN)
  • Table 30 Global Automotive Sensor Fusion Market Outlook, By Technology (2022-2030) ($MN)
  • Table 31 Global Automotive Sensor Fusion Market Outlook, By Data Fusion (2022-2030) ($MN)
  • Table 32 Global Automotive Sensor Fusion Market Outlook, By Complementary Fusion (2022-2030) ($MN)
  • Table 33 Global Automotive Sensor Fusion Market Outlook, By Kalman Filtering (2022-2030) ($MN)
  • Table 34 Global Automotive Sensor Fusion Market Outlook, By Neural Networks (2022-2030) ($MN)
  • Table 35 Global Automotive Sensor Fusion Market Outlook, By Deep Learning (2022-2030) ($MN)
  • Table 36 Global Automotive Sensor Fusion Market Outlook, By Other Technologies (2022-2030) ($MN)
  • Table 37 Global Automotive Sensor Fusion Market Outlook, By Application (2022-2030) ($MN)
  • Table 38 Global Automotive Sensor Fusion Market Outlook, By Advanced Driver Assistance Systems (ADAS) (2022-2030) ($MN)
  • Table 39 Global Automotive Sensor Fusion Market Outlook, By Driver Monitoring Systems (2022-2030) ($MN)
  • Table 40 Global Automotive Sensor Fusion Market Outlook, By Blind Spot Detection (2022-2030) ($MN)
  • Table 41 Global Automotive Sensor Fusion Market Outlook, By Parking Assistance (2022-2030) ($MN)
  • Table 42 Global Automotive Sensor Fusion Market Outlook, By Lane Departure Warning Systems (2022-2030) ($MN)
  • Table 43 Global Automotive Sensor Fusion Market Outlook, By Adaptive Cruise Control (ACC) (2022-2030) ($MN)
  • Table 44 Global Automotive Sensor Fusion Market Outlook, By Traffic Sign Recognition (2022-2030) ($MN)
  • Table 45 Global Automotive Sensor Fusion Market Outlook, By Collision Avoidance (2022-2030) ($MN)
  • Table 46 Global Automotive Sensor Fusion Market Outlook, By Other Applications (2022-2030) ($MN)
  • Table 47 Global Automotive Sensor Fusion Market Outlook, By End User (2022-2030) ($MN)
  • Table 48 Global Automotive Sensor Fusion Market Outlook, By Original Equipment Manufacturers (OEMs) (2022-2030) ($MN)
  • Table 49 Global Automotive Sensor Fusion Market Outlook, By Aftermarket Suppliers (2022-2030) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.