1 エグゼクティブ・サマリー
2 序文
2.1 概要
2.2 ステークホルダー
2.3 調査範囲
2.4 調査方法
2.4.1 データマイニング
2.4.2 データ分析
2.4.3 データの検証
2.4.4 リサーチアプローチ
2.5 リサーチソース
2.5.1 一次調査ソース
2.5.2 セカンダリーリサーチソース
2.5.3 前提条件
3 市場動向分析
3.1 はじめに
3.2 推進要因
3.3 抑制要因
3.4 機会
3.5 脅威
3.6 技術分析
3.7 アプリケーション分析
3.8 エンドユーザー分析
3.9 新興市場
3.10 Covid-19の影響
4 ポーターズファイブフォース分析
4.1 供給者の交渉力
4.2 買い手の交渉力
4.3 代替品の脅威
4.4 新規参入の脅威
4.5 競争上のライバル関係
5 自動車用センサーフュージョンの世界市場、センサータイプ別
5.1 はじめに
5.2 レーダーセンサー
5.3 LiDARセンサー
5.4 超音波センサー
5.5 赤外線センサー
5.6 圧力センサー
5.7 温度センサー
5.8 その他のセンサータイプ
6 自動車用センサーフュージョンの世界市場、車種別
6.1 はじめに
6.2 乗用車
6.3 商用車
6.4 電気自動車（EV）
6.5 その他の車種
7 自動車用センサーフュージョンの世界市場、コンポーネント別
7.1 はじめに
7.2 センサー
7.3 マイクロコントローラー
7.4 通信モジュール
7.5 接続モジュール
7.6 電源ユニット
7.7 メモリ・デバイス
7.8 ユーザー・インターフェース
7.9 その他のコンポーネント
8 自動車用センサーフュージョンの世界市場、オートノミーレベル別
8.1 はじめに
8.2 運転支援
8.3 部分的自動化
8.4 条件付き自動化
8.5 高自動化
8.6 完全自動化
9 自動車用センサーフュージョンの世界市場、技術別
9.1 はじめに
9.2 データ・フュージョン
9.3 補完フュージョン
9.4 カルマンフィルタリング
9.5 ニューラルネットワーク
9.6 ディープラーニング
9.7 その他の技術
10 自動車用センサーフュージョンの世界市場、用途別
10.1 はじめに
10.2 先進運転支援システム（ADAS）
10.3 ドライバーモニタリングシステム
10.4 死角検出
10.5 駐車支援
10.6 車線逸脱警報システム
10.7 アダプティブ・クルーズ・コントロール（ACC）
10.8 交通標識認識
10.9 衝突回避
10.10 その他のアプリケーション
11 自動車用センサーフュージョンの世界市場、エンドユーザー別
11.1 はじめに
11.2 OEMメーカー
11.3 アフターマーケットサプライヤー
12 自動車用センサーフュージョンの世界市場：地域別
12.1 はじめに
12.2 北米
12.2.1 アメリカ
12.2.2 カナダ
12.2.3 メキシコ
12.3 ヨーロッパ
12.3.1 ドイツ
12.3.2 イギリス
12.3.3 イタリア
12.3.4 フランス
12.3.5 スペイン
12.3.6 その他のヨーロッパ
12.4 アジア太平洋
12.4.1 日本
12.4.2 中国
12.4.3 インド
12.4.4 オーストラリア
12.4.5 ニュージーランド
12.4.6 韓国
12.4.7 その他のアジア太平洋地域
12.5 南米
12.5.1 アルゼンチン
12.5.2 ブラジル
12.5.3 チリ
12.5.4 その他の南米地域
12.6 中東・アフリカ
12.6.1 サウジアラビア
12.6.2 アラブ首長国連邦
12.6.3 カタール
12.6.4 南アフリカ
12.6.5 その他の中東・アフリカ地域
13 主要開発
13.1 契約、パートナーシップ、提携、合弁事業
13.2 買収と合併
13.3 新製品上市
13.4 拡張
13.5 その他の主要戦略
14 企業プロフィール
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.
表一覧
表1 自動車用センサーフュージョンの世界市場展望、地域別（2022-2030年） ($MN)
表2 自動車用センサーフュージョンの世界市場展望、センサータイプ別（2022-2030年） ($MN)
表3 自動車用センサーフュージョンの世界市場展望：レーダーセンサー別 (2022-2030) ($MN)
表4 自動車用センサーフュージョンの世界市場展望、LiDARセンサー別 (2022-2030) ($MN)
表5 自動車用センサーフュージョンの世界市場展望、超音波センサー別 (2022-2030) ($MN)
表6 自動車用センサーフュージョンの世界市場展望、赤外線センサー別 (2022-2030) ($MN)
表7 自動車用センサーフュージョンの世界市場展望、圧力センサー別 (2022-2030) ($MN)
表8 自動車用センサーフュージョンの世界市場展望、温度センサー別 (2022-2030) ($MN)
表9 自動車用センサーフュージョンの世界市場展望、その他のセンサータイプ別 (2022-2030) ($MN)
表10 自動車用センサーフュージョンの世界市場展望、車種別 (2022-2030) ($MN)
表11 自動車用センサーフュージョンの世界市場展望、乗用車別 (2022-2030) ($MN)
表12 自動車用センサーフュージョンの世界市場展望、商用車別 (2022-2030) ($MN)
表13 自動車用センサーフュージョンの世界市場展望、電気自動車（EV）別 (2022-2030) ($MN)
表14 自動車用センサーフュージョンの世界市場展望、その他の車種別 (2022-2030) ($MN)
表15 自動車用センサーフュージョンの世界市場展望、コンポーネント別 (2022-2030) ($MN)
表16 自動車用センサーフュージョンの世界市場展望、センサー別 (2022-2030) ($MN)
表17 自動車用センサーフュージョンの世界市場展望：マイクロコントローラ別 (2022-2030) ($MN)
表18 自動車用センサーフュージョンの世界市場展望、通信モジュール別 (2022-2030) ($MN)
表19 自動車用センサーフュージョンの世界市場展望、接続モジュール別 (2022-2030) ($MN)
表20 自動車用センサーフュージョンの世界市場展望、電源ユニット別 (2022-2030) ($MN)
表21 自動車用センサーフュージョンの世界市場展望：メモリデバイス別 (2022-2030) ($MN)
表22 自動車用センサーフュージョンの世界市場展望：ユーザーインターフェース別 (2022-2030) ($MN)
表23 自動車用センサーフュージョンの世界市場展望、その他のコンポーネント別 (2022-2030) ($MN)
表24 自動車用センサーフュージョンの世界市場展望、オートノミーレベル別 (2022-2030) ($MN)
表25 自動車用センサーフュージョンの世界市場展望、運転支援別 (2022-2030) ($MN)
表26 自動車用センサーフュージョンの世界市場展望、部分自動化別 (2022-2030) ($MN)
表27 自動車用センサーフュージョンの世界市場展望、条件付き自動化別 (2022-2030) ($MN)
表28 自動車用センサーフュージョンの世界市場展望、高度自動化別 (2022-2030) ($MN)
表29 自動車用センサーフュージョンの世界市場展望、フルオートメーション別 (2022-2030) ($MN)
表30 自動車用センサーフュージョンの世界市場展望、技術別 (2022-2030) ($MN)
表31 自動車用センサーフュージョンの世界市場展望、データフュージョン別 (2022-2030) ($MN)
表32 自動車用センサーフュージョンの世界市場展望、補完フュージョン別 (2022-2030) ($MN)
表33 自動車用センサーフュージョンの世界市場展望、カルマンフィルタリング別 (2022-2030) ($MN)
表34 自動車用センサーフュージョンの世界市場展望、ニューラルネットワーク別 (2022-2030) ($MN)
表35 自動車用センサーフュージョンの世界市場展望、ディープラーニング別 (2022-2030) ($MN)
表36 自動車用センサーフュージョンの世界市場展望、その他の技術別 (2022-2030) ($MN)
表37 自動車用センサーフュージョンの世界市場展望、用途別 (2022-2030) ($MN)
表38 自動車用センサーフュージョンの世界市場展望：先進運転支援システム（ADAS）別 (2022-2030) ($MN)
表39 自動車用センサーフュージョンの世界市場展望、ドライバーモニタリングシステム別 (2022-2030) ($MN)
表40 自動車用センサーフュージョンの世界市場展望、死角検出機能別 (2022-2030) ($MN)
表41 自動車用センサーフュージョンの世界市場展望、駐車支援別 (2022-2030) ($MN)
表42 自動車用センサーフュージョンの世界市場展望、車線逸脱警告システム別 (2022-2030) ($MN)
表43 自動車用センサーフュージョンの世界市場展望、アダプティブクルーズコントロール（ACC）別 (2022-2030) ($MN)
表44 自動車用センサーフュージョンの世界市場展望、交通標識認識別 (2022-2030) ($MN)
表45 自動車用センサーフュージョンの世界市場展望、衝突回避機能別 (2022-2030) ($MN)
表46 自動車用センサーフュージョンの世界市場展望、その他の用途別 (2022-2030) ($MN)
表47 自動車用センサーフュージョンの世界市場展望、エンドユーザー別 (2022-2030) ($MN)
表48 自動車用センサーフュージョンの世界市場展望：相手先商標製品メーカー（OEM）別（2022-2030年） ($MN)
表49 自動車用センサーフュージョンの世界市場展望：アフターマーケットサプライヤー別 (2022-2030) ($MN)
注：北米、ヨーロッパ、APAC、南米、中東・アフリカ地域の表も上記と同様に表記しています。
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
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.
