The Latin America, Middle East and Africa Automotive Sensor Fusion Market would witness market growth of 26.3% CAGR during the forecast period (2022-2028).
One of the key processes in autonomous driving applications is sensor fusion, which combines data from various sensors to lessen uncertainty compared to when sensors are utilised singly. Adoption of sensor fusion offers further advantages against sensor network attacks coming from the analogue domain while also improving system integrity, reliability, and robustness for normal operation.
Automakers can reduce the danger of malfunction or malicious behaviour that could harm individuals, their property, or the economy by properly integrating sensor fusion into their systems. The use of numerous sensors that measure the same quantity can improve reliability and give resilience to failure. All sensors and models have a tolerance error.
The UAE government's focus on the sector's expansion shows how it aims to use it to help the country's economic progress. It is projected that as Dubai enters a new phase of growth, it will also establish itself as the region's main automotive hub, expanding through the export and re-export of vehicles to the Middle East. The luxurious automobile is a status symbol for the UAE's elite society. More people (and not just a small part) than anywhere else in the globe live in the UAE at a higher standard of life. In addition, Dubai does not tax the income of its citizens. The automotive sensor fusion market is expected to increase in the LAMEA area as a result of the region's expanding automotive industry.
The Brazil market dominated the LAMEA Automotive Sensor Fusion Market by Country in 2021, and would continue to be a dominant market till 2028; thereby, achieving a market value of $125.9 Million by 2028. The Argentina market is experiencing a CAGR of 27% during (2022 - 2028). Additionally, The UAE market would display a CAGR of 26% 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 Brazil, Argentina, UAE, Saudi Arabia, South Africa, Nigeria, and Rest of LAMEA.
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.
One of the key processes in autonomous driving applications is sensor fusion, which combines data from various sensors to lessen uncertainty compared to when sensors are utilised singly. Adoption of sensor fusion offers further advantages against sensor network attacks coming from the analogue domain while also improving system integrity, reliability, and robustness for normal operation.
Automakers can reduce the danger of malfunction or malicious behaviour that could harm individuals, their property, or the economy by properly integrating sensor fusion into their systems. The use of numerous sensors that measure the same quantity can improve reliability and give resilience to failure. All sensors and models have a tolerance error.
The UAE government's focus on the sector's expansion shows how it aims to use it to help the country's economic progress. It is projected that as Dubai enters a new phase of growth, it will also establish itself as the region's main automotive hub, expanding through the export and re-export of vehicles to the Middle East. The luxurious automobile is a status symbol for the UAE's elite society. More people (and not just a small part) than anywhere else in the globe live in the UAE at a higher standard of life. In addition, Dubai does not tax the income of its citizens. The automotive sensor fusion market is expected to increase in the LAMEA area as a result of the region's expanding automotive industry.
The Brazil market dominated the LAMEA Automotive Sensor Fusion Market by Country in 2021, and would continue to be a dominant market till 2028; thereby, achieving a market value of $125.9 Million by 2028. The Argentina market is experiencing a CAGR of 27% during (2022 - 2028). Additionally, The UAE market would display a CAGR of 26% 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 Brazil, Argentina, UAE, Saudi Arabia, South Africa, Nigeria, and Rest of LAMEA.
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
- Brazil
- Argentina
- UAE
- Saudi Arabia
- South Africa
- Nigeria
- Rest of LAMEA
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 LAMEA Automotive Sensor Fusion Market, by Propulsion Type
1.4.2 LAMEA Automotive Sensor Fusion Market, by Vehicle Type
1.4.3 LAMEA Automotive Sensor Fusion Market, by Technology
1.4.4 LAMEA 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. LAMEA Automotive Sensor Fusion Market by Propulsion Type
4.1 LAMEA ICE Market by Country
4.2 LAMEA BEV Market by Country
4.3 LAMEA HEV Market by Country
Chapter 5. LAMEA Automotive Sensor Fusion Market by Vehicle Type
5.1 LAMEA Passenger Cars Market by Country
5.2 LAMEA Light Commercial Vehicles Market by Country
5.3 LAMEA Heavy Commercial Vehicles Market by Country
Chapter 6. LAMEA Automotive Sensor Fusion Market by Technology
6.1 LAMEA IMU Market by Country
6.2 LAMEA Image Sensors Market by Country
6.3 LAMEA Radar Sensors Market by Country
6.4 LAMEA Others Market by Country
Chapter 7. LAMEA Automotive Sensor Fusion Market by Country
7.1 Brazil Automotive Sensor Fusion Market
7.1.1 Brazil Automotive Sensor Fusion Market by Propulsion Type
7.1.2 Brazil Automotive Sensor Fusion Market by Vehicle Type
7.1.3 Brazil Automotive Sensor Fusion Market by Technology
7.2 Argentina Automotive Sensor Fusion Market
7.2.1 Argentina Automotive Sensor Fusion Market by Propulsion Type
7.2.2 Argentina Automotive Sensor Fusion Market by Vehicle Type
7.2.3 Argentina Automotive Sensor Fusion Market by Technology
7.3 UAE Automotive Sensor Fusion Market
7.3.1 UAE Automotive Sensor Fusion Market by Propulsion Type
7.3.2 UAE Automotive Sensor Fusion Market by Vehicle Type
7.3.3 UAE Automotive Sensor Fusion Market by Technology
7.4 Saudi Arabia Automotive Sensor Fusion Market
7.4.1 Saudi Arabia Automotive Sensor Fusion Market by Propulsion Type
7.4.2 Saudi Arabia Automotive Sensor Fusion Market by Vehicle Type
7.4.3 Saudi Arabia Automotive Sensor Fusion Market by Technology
7.5 South Africa Automotive Sensor Fusion Market
7.5.1 South Africa Automotive Sensor Fusion Market by Propulsion Type
7.5.2 South Africa Automotive Sensor Fusion Market by Vehicle Type
7.5.3 South Africa Automotive Sensor Fusion Market by Technology
7.6 Nigeria Automotive Sensor Fusion Market
7.6.1 Nigeria Automotive Sensor Fusion Market by Propulsion Type
7.6.2 Nigeria Automotive Sensor Fusion Market by Vehicle Type
7.6.3 Nigeria Automotive Sensor Fusion Market by Technology
7.7 Rest of LAMEA Automotive Sensor Fusion Market
7.7.1 Rest of LAMEA Automotive Sensor Fusion Market by Propulsion Type
7.7.2 Rest of LAMEA Automotive Sensor Fusion Market by Vehicle Type
7.7.3 Rest of LAMEA 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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