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市場調查報告書
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1577098

到 2030 年汽車感測器融合市場預測：按感測器類型、車輛類型、組件、自主程度、技術、應用、最終用戶和地區進行的全球分析

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個工作天內

價格

根據Stratistics MRC的數據，2024年全球汽車感測器融合市場規模為15.8億美元，預計2030年將達到69.2億美元，預測期內複合年成長率為21.5%。

汽車感測器融合是指整合來自車輛內多個感測器的資料，以增強感知和決策能力。透過結合攝影機、雷達、LiDAR和超音波感測器等各種來源的輸入，該技術可以全面了解車輛周圍的環境。透過實現即時資料處理和對動態駕駛環境的明智響應，提高安全性、導航準確性和整體車輛性能。

根據中國工業協會（CAAM）的數據，2022年4月，中國生產了約99.6萬輛乘用車和21萬輛商用車。

ADAS（進階駕駛輔助系統）的需求不斷成長

隨著越來越多的消費者需要主動式車距維持定速系統、車道維持援助和自動緊急煞車等功能，汽車製造商正在投資感測器融合技術來滿足這些需求。感測器融合整合來自不同感測器的資料，提高感知系統的準確性並實現即時決策。這一演變不僅確保了嚴格的安全法規的遵守，而且增強了消費者對車輛自動化的信心，並將汽車感測器融合組件和解決方案市場推向新的高度。

自動駕駛汽車的基礎設施有限

具備必要通訊系統（例如車聯網 (V2X)）的道路不足，限制了即時資料交換並降低了感測器融合的有效性。此外，缺乏支持性的法律規範和標準化測試環境也減緩了可靠自動駕駛系統的開發。這種不確定性限制了感測器融合技術的投資和創新，最終限制了自動駕駛汽車在市場上的擴充性和採用。

汽車電氣化進展

隨著電動車變得越來越流行，先進感測器系統的整合對於最佳化性能、能源效率和安全性至關重要。感測器融合可實現各種感測器之間的無縫通訊，以增強防撞、車道維持輔助和主動式車距維持定速系統控制等功能。此外，電動車自動駕駛技術的興起高度依賴強大的感測器融合系統來處理即時資料並在汽車市場實現更高水準的自動化和消費者接受度。

技術挑戰

汽車感測器融合的技術挑戰源於整合具有不同資料格式、處理速度和環境敏感性的不同類型感測器的複雜性。在保持即時處理能力的同時實現準確可靠的資料融合是一個主要障礙。這些挑戰可能會導致 ADAS 和自動駕駛汽車的開發成本增加並延長上市時間。因此，實現有效感測器融合的困難可能會阻礙創新安全功能的採用，並最終阻礙整個汽車產業的市場成長。

COVID-19 的影響

COVID-19 大流行擾亂了供應鏈並推遲了生產計劃，導致汽車生產放緩，從而對汽車感測器融合市場產生了重大影響。但這場危機也加速了先進技術的採用，因為遠距工作和社交距離提高了對安全和自動化的關注。人們對非接觸式駕駛解決方案和增強的安全功能的興趣日益濃厚，刺激了對感測器融合系統的需求，隨著汽車製造商響應不斷變化的消費者需求，市場逐漸復甦和成長。

預計資料融合領域在預測期內將是最大的

預計資料融合領域將在預測期內獲得最大的市場佔有率。車載感測器融合中的資料融合技術將多個感測器的資料結合起來，以獲得對車輛周圍環境的全面、準確的了解。它減少了盲點和能見度差等感測器限制，並改進了物體檢測、追蹤和分類，使車輛在各種駕駛條件下運行更安全、更可靠。

預計防撞細分市場在預測期間內複合年成長率最高

預計防撞產業在預測期內的複合年成長率最高。防撞應用中的汽車感測器融合整合了來自多個感測器的資料，以提供車輛周圍環境的全面視圖。透過分析這些綜合訊息，系統可以準確地偵測障礙物、評估距離並預測碰撞的可能性。這種增強的情境察覺使 ADAS（高級駕駛員輔助系統）能夠及時發出警告和自動制動，從而顯著提高車輛安全性並減少道路上發生事故的可能性。

佔比最大的地區：

由於 ADAS（高級駕駛輔助系統）和自動駕駛汽車的採用不斷增加，亞太地區預計將在預測期內創下最大的市場佔有率。快速的都市化、可支配收入的增加以及道路安全意識的提高都促進了對先進感測器技術的需求。中國、日本和韓國等國家透過研發投資處於汽車創新的前沿。此外，政府的支持措施以及汽車製造商和科技公司之間的合作夥伴關係正在進一步支持感測器融合解決方案在這個充滿活力的市場中的成長。

複合年成長率最高的地區：

由於對安全性的高度重視以及 ADAS（高級駕駛輔助系統）的日益普及，預計北美地區在預測期內的複合年成長率最高。該地區是大型汽車製造商和科技公司的所在地，這些公司在創新和研究方面投入大量資金。此外，政府法規和消費者對道路安全的認知正在推動北美汽車產業採用先進的感測器融合解決方案。

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目錄

第1章執行摘要

第2章 前言

  • 概述
  • 相關利益者
  • 調查範圍
  • 調查方法
    • 資料探勘
    • 資料分析
    • 資料檢驗
    • 研究途徑
  • 研究資訊來源
    • 主要研究資訊來源
    • 二次研究資訊來源
    • 先決條件

第3章市場趨勢分析

  • 促進因素
  • 抑制因素
  • 機會
  • 威脅
  • 技術分析
  • 應用分析
  • 最終用戶分析
  • 新興市場
  • COVID-19 的影響

第4章波特五力分析

  • 供應商的議價能力
  • 買方議價能力
  • 替代品的威脅
  • 新進入者的威脅
  • 競爭公司之間的敵對關係

第5章全球汽車感測器融合市場：按感測器類型

  • 雷達感測器
  • LiDAR感測器
  • 超音波感測器
  • 紅外線感測器
  • 壓力感測器
  • 溫度感測器
  • 其他感測器類型

第6章全球汽車感光元件融合市場：依車型分類

  • 客車
  • 商用車
  • 電動車（EV）
  • 其他車型

第7章全球汽車感光元件融合市場：依組件分類

  • 感應器
  • 微控制器
  • 通訊模組
  • 連接模組
  • 電源裝置
  • 儲存裝置
  • 使用者介面
  • 其他組件

第8章全球汽車感光元件融合市場：依自主程度分類

  • 駕駛員援助
  • 部分自動化
  • 有條件自動化
  • 先進的自動化
  • 全自動

第9章全球汽車感測器融合市場：依技術分類

  • 資料融合
  • 互補融合
  • 卡爾曼濾波
  • 神經網路
  • 深度學習
  • 其他技術

第10章全球汽車感光元件融合市場：依應用分類

  • ADAS（進階駕駛輔助系統）（ADAS）
  • 駕駛員監控系統
  • 盲點偵測
  • 停車協助
  • 車道偏離警示系統
  • 主動車距控制巡航系統(ACC)
  • 交通標誌識別
  • 避免碰撞
  • 其他用途

第11章全球汽車感測器融合市場：依最終用戶分類

  • 原始設備製造公司（OEM）
  • 售後供應商

第12章全球汽車感測器融合市場：按地區

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 義大利
    • 法國
    • 西班牙
    • 其他歐洲國家
  • 亞太地區
    • 日本
    • 中國
    • 印度
    • 澳洲
    • 紐西蘭
    • 韓國
    • 其他亞太地區
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地區
  • 中東/非洲
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 卡達
    • 南非
    • 其他中東和非洲

第13章 主要進展

  • 合約、夥伴關係、協作和合資企業
  • 收購和合併
  • 新產品發布
  • 業務拓展
  • 其他關鍵策略

第14章 公司概況

  • 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.