In order to continuously analyze their environment, make wise decisions, and anticipate any changes that can affect a route, autonomous driving systems use four fundamental machine learning functions. The automation of driving is performed by combining sensors and autonomous vehicle technologies. Since they are capable of independent decision-making and driving tasks, autonomous cars are replacing conventional vehicles on the road.
3700 people every day, or 1.3 million people annually, lose their lives in traffic accidents. By equipping vehicles with the required safety features, the majority of accidents can be avoided. The need for autonomous vehicles will skyrocket in a few years. The majority of the auto industry and research institutions are putting all of their effort into ensuring the safety of self-driving automobiles.
The development of highly accurate environment perception and navigation algorithms that can safely move from one location to another while avoiding obstacles is necessary to make self-driving automobiles a reality. As is well known, a camera or other visual-based sensor has limitations in low light and inclement weather. LiDAR's effectiveness is constrained by harsh weather conditions including persistent fog and heavy rain. The data from radar is rather scarce for identifying and tracking obstacles, despite the fact that it operates well in all weather conditions.
In December 2021, battery electric vehicles accounted for almost 25% of all new cars sold in the UK. Since road transportation there is currently decarbonizing at an astounding rate, the UK is leading this revolution. The government, which is dedicated to keeping at the forefront of this change, was the first in the G7 to announce the phase-out dates for modern gasoline and diesel-powered vehicles, vans, and Lorries. With the expanding automotive industry across the region, the automotive sensor fusion market would also expand in Europe.
The Germany market dominated the Europe Automotive Sensor Fusion Market by Country in 2021, and would continue to be a dominant market till 2028; thereby, achieving a market value of $479.9 Million by 2028. The UK market is anticipated to grow at a CAGR of 21.1% during (2022 - 2028). Additionally, The France market would exhibit a CAGR of 22.9% during (2022 - 2028).
Based on Propulsion Type, the market is segmented into ICE, BEV, and HEV. Based on Vehicle Type, the market is segmented into Passenger Cars, Light Commercial Vehicles, and Heavy Commercial Vehicles. Based on Technology, the market is segmented into IMU, Image Sensors, Radar Sensors, and Others. Based on countries, the market is segmented into Germany, UK, France, Russia, Spain, Italy, and Rest of Europe.
The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include NVIDIA Corporation, NXP Semiconductors N.V., Robert Bosch GmbH, TE Connectivity Ltd., Infineon Technologies AG, ZF Friedrichshafen AG, TDK Corporation, STMicroelectronics N.V., Aptiv PLC, and Texas Instruments, Inc.
Scope of the Study
Market Segments Covered in the Report:
By Propulsion Type
- ICE
- BEV
- HEV
By Vehicle Type
- Passenger Cars
- Light Commercial Vehicles
- Heavy Commercial Vehicles
By Technology
- IMU
- Image Sensors
- Radar Sensors
- Others
By Country
- Germany
- UK
- France
- Russia
- Spain
- Italy
- Rest of Europe
Key Market Players
List of Companies Profiled in the Report:
- NVIDIA Corporation
- NXP Semiconductors N.V
- Robert Bosch GmbH
- TE Connectivity Ltd
- Infineon Technologies AG
- ZF Friedrichshafen AG
- TDK Corporation
- STMicroelectronics N.V
- Aptiv PLC
- Texas Instruments, Inc
Unique Offerings
- Exhaustive coverage
- The highest number of Market tables and figures
- Subscription-based model available
- Guaranteed best price
- Assured post sales research support with 10% customization free
Table of Contents
Chapter 1. Market Scope & Methodology1.1 Market Definition
1.2 Objectives
1.3 Market Scope
1.4 Segmentation
1.4.1 Europe Automotive Sensor Fusion Market, by Propulsion Type
1.4.2 Europe Automotive Sensor Fusion Market, by Vehicle Type
1.4.3 Europe Automotive Sensor Fusion Market, by Technology
1.4.4 Europe Automotive Sensor Fusion Market, by Country
1.5 Methodology for the research
Chapter 2. Market Overview
2.1 Introduction
2.1.1 Overview
2.1.1.1 Market Composition & Scenario
2.2 Key Factors Impacting the Market
2.2.1 Market Drivers
2.2.2 Market Restraints
Chapter 3. Competition Analysis - Global
3.1 KBV Cardinal Matrix
3.2 Recent Industry Wide Strategic Developments
3.2.1 Partnerships, Collaborations and Agreements
3.2.2 Product Launches and Product Expansions
3.2.3 Acquisition and Mergers
3.3 Top Winning Strategies
3.3.1 Key Leading Strategies: Percentage Distribution (2018-2022)
3.3.2 Key Strategic Move: (Product Launches and Product Expansions : 2019, Oct - 2022, Nov) Leading Players
Chapter 4. Europe Automotive Sensor Fusion Market by Propulsion Type
4.1 Europe ICE Market by Country
4.2 Europe BEV Market by Country
4.3 Europe HEV Market by Country
Chapter 5. Europe Automotive Sensor Fusion Market by Vehicle Type
5.1 Europe Passenger Cars Market by Country
5.2 Europe Light Commercial Vehicles Market by Country
5.3 Europe Heavy Commercial Vehicles Market by Country
Chapter 6. Europe Automotive Sensor Fusion Market by Technology
6.1 Europe IMU Market by Country
6.2 Europe Image Sensors Market by Country
6.3 Europe Radar Sensors Market by Country
6.4 Europe Others Market by Country
Chapter 7. Europe Automotive Sensor Fusion Market by Country
7.1 Germany Automotive Sensor Fusion Market
7.1.1 Germany Automotive Sensor Fusion Market by Propulsion Type
7.1.2 Germany Automotive Sensor Fusion Market by Vehicle Type
7.1.3 Germany Automotive Sensor Fusion Market by Technology
7.2 UK Automotive Sensor Fusion Market
7.2.1 UK Automotive Sensor Fusion Market by Propulsion Type
7.2.2 UK Automotive Sensor Fusion Market by Vehicle Type
7.2.3 UK Automotive Sensor Fusion Market by Technology
7.3 France Automotive Sensor Fusion Market
7.3.1 France Automotive Sensor Fusion Market by Propulsion Type
7.3.2 France Automotive Sensor Fusion Market by Vehicle Type
7.3.3 France Automotive Sensor Fusion Market by Technology
7.4 Russia Automotive Sensor Fusion Market
7.4.1 Russia Automotive Sensor Fusion Market by Propulsion Type
7.4.2 Russia Automotive Sensor Fusion Market by Vehicle Type
7.4.3 Russia Automotive Sensor Fusion Market by Technology
7.5 Spain Automotive Sensor Fusion Market
7.5.1 Spain Automotive Sensor Fusion Market by Propulsion Type
7.5.2 Spain Automotive Sensor Fusion Market by Vehicle Type
7.5.3 Spain Automotive Sensor Fusion Market by Technology
7.6 Italy Automotive Sensor Fusion Market
7.6.1 Italy Automotive Sensor Fusion Market by Propulsion Type
7.6.2 Italy Automotive Sensor Fusion Market by Vehicle Type
7.6.3 Italy Automotive Sensor Fusion Market by Technology
7.7 Rest of Europe Automotive Sensor Fusion Market
7.7.1 Rest of Europe Automotive Sensor Fusion Market by Propulsion Type
7.7.2 Rest of Europe Automotive Sensor Fusion Market by Vehicle Type
7.7.3 Rest of Europe Automotive Sensor Fusion Market by Technology
Chapter 8. Company Profiles
8.1 NVIDIA Corporation
8.1.1 Company Overview
8.1.2 Financial Analysis
8.1.3 Segmental and Regional Analysis
8.1.4 Research & Development Expense
8.1.5 Recent strategies and developments:
8.1.5.1 Product Launches and Product Expansions:
8.1.6 SWOT Analysis
8.2 NXP Semiconductors N.V.
8.2.1 Company Overview
8.2.2 Financial Analysis
8.2.3 Regional Analysis
8.2.4 Research & Development Expense
8.2.5 Recent strategies and developments:
8.2.5.1 Partnerships, Collaborations, and Agreements:
8.2.5.2 Product Launches and Product Expansions:
8.2.6 SWOT Analysis
8.3 Robert Bosch GmbH
8.3.1 Company Overview
8.3.2 Financial Analysis
8.3.3 Segmental and Regional Analysis
8.3.4 Research & Development Expense
8.3.5 Recent strategies and developments:
8.3.5.1 Partnerships, Collaborations, and Agreements:
8.3.5.2 Acquisition and Mergers:
8.3.6 SWOT Analysis
8.4 TE Connectivity Ltd.
8.4.1 Company Overview
8.4.2 Financial Analysis
8.4.3 Segmental and Regional Analysis
8.4.4 Research & Development Expense
8.4.5 SWOT Analysis
8.5 Infineon Technologies AG
8.5.1 Company Overview
8.5.2 Financial Analysis
8.5.3 Segmental and Regional Analysis
8.5.4 Research & Development Expense
8.5.5 Recent strategies and developments:
8.5.5.1 Partnerships, Collaborations, and Agreements:
8.5.5.2 Product Launches and Product Expansions:
8.6 ZF Friedrichshafen AG
8.6.1 Company Overview
8.6.2 Financial Analysis
8.6.3 Regional Analysis
8.6.4 Research & Development Expenses
8.6.5 Recent strategies and developments:
8.6.5.1 Partnerships, Collaborations, and Agreements:
8.6.5.2 Product Launches and Product Expansions:
8.7 TDK Corporation
8.7.1 Company Overview
8.7.2 Financial Analysis
8.7.3 Regional & Segmental Analysis
8.7.4 Research & Development Expenses
8.7.5 Recent strategies and developments:
8.7.5.1 Product Launches and Product Expansions:
8.8 STMicroelectronics N.V.
8.8.1 Company Overview
8.8.2 Financial Analysis
8.8.3 Segmental and Regional Analysis
8.8.4 Research & Development Expense
8.8.5 Recent strategies and developments:
8.8.5.1 Partnerships, Collaborations, and Agreements:
8.8.5.2 Product Launches and Product Expansions:
8.9 Aptiv PLC
8.9.1 Company Overview
8.9.2 Financial Analysis
8.9.3 Segmental and Regional Analysis
8.9.4 Research & Development Expense
8.9.5 Recent strategies and developments:
8.9.5.1 Product Launches and Product Expansions:
8.9.5.2 Acquisition and Mergers:
8.10. Texas Instruments, Inc.
8.10.1 Company Overview
8.10.2 Financial Analysis
8.10.3 Segmental and Regional Analysis
8.10.4 Research & Development Expense
Companies Mentioned
- NVIDIA Corporation
- NXP Semiconductors N.V.
- Robert Bosch GmbH
- TE Connectivity Ltd.
- Infineon Technologies AG
- ZF Friedrichshafen AG
- TDK Corporation
- STMicroelectronics N.V.
- Aptiv PLC
- Texas Instruments, Inc.
Methodology
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