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Last Updated: Apr 25, 2025 | Study Period: 2024-2030
A camera sensor used in an automobile called an advanced driver assistance system (ADAS) collects data to help drivers with activities like lane-keeping and collision avoidance. The most typical ADAS camera is one that faces forward, while side and rear-mounted cameras are becoming more and more frequent.
Near the rearview mirror, inside the windscreen of the car, are ADAS cameras that are facing forward. One forward camera is used by the majority of automakers, while some, like Subaru, use two. Sensor data from the front ADAS cameras is used by numerous.
The Global Forward Facing ADAS Camera market accounted for $XX Billion in 2023 and is anticipated to reach $XX Billion by 2030, registering a CAGR of XX% from 2024 to 2030.
For ADAS and automated driving systems, the leading provider of forward-facing cameras, ZF, recently introduced Smart Camera 6. Through image processing module systems that provide 3D surround view, interior monitoring systems, and more, ZF also provides multi-sensor environmental monitoring. The 120-degree field of vision, 8-megapixel image resolution, which is more than 4 times more than the previous generation's, and increased processing power make the Smart Camera 6 capable of doing more complicated tasks.
The EyeQ6 CPU from Mobileye, an Intel company and a well-known innovator in vision-based systems and environmental perception, is used by the Smart Camera 6. Mobileye has been a key strategic partner of ZF, the year the company unveiled its first-generation camera.
With its Image Processing Module solutions, which are also based on EyeQ6 processors, ZF is able to satisfy industry requests for more complex features and functionalities as they arise through the use of modern E/E architectures.
The systems may accommodate several radar, ultrasonic, or LiDAR sensors as well as a single satellite camera input up to 12 satellite camera inputs. This permits the integration of ZF ADAS and/or OEM algorithms supporting full-featured driving functionality from L2/L2+ to L3, advanced Driver and Interior Monitoring, and Automated Parking, as well as features like AEB and Pedestrian AEB, VACC, Camera/Radar Fusion, 3D surround view, and Driver Monitoring and Interior Monitoring.
| Sl no | Topic |
| 1 | Market Segmentation |
| 2 | Scope of the report |
| 3 | Abbreviations |
| 4 | Research Methodology |
| 5 | Executive Summary |
| 6 | Introduction |
| 7 | Insights from Industry stakeholders |
| 8 | Cost breakdown of Product by sub-components and average profit margin |
| 9 | Disruptive innovation in the Industry |
| 10 | Technology trends in the Industry |
| 11 | Consumer trends in the industry |
| 12 | Recent Production Milestones |
| 13 | Component Manufacturing in US, EU and China |
| 14 | COVID-19 impact on overall market |
| 15 | COVID-19 impact on Production of components |
| 16 | COVID-19 impact on Point of sale |
| 17 | Market Segmentation, Dynamics and Forecast by Geography, 2024-2030 |
| 18 | Market Segmentation, Dynamics and Forecast by Product Type, 2024-2030 |
| 19 | Market Segmentation, Dynamics and Forecast by Application, 2024-2030 |
| 20 | Market Segmentation, Dynamics and Forecast by End use, 2024-2030 |
| 21 | Product installation rate by OEM, 2023 |
| 22 | Incline/Decline in Average B-2-B selling price in past 5 years |
| 23 | Competition from substitute products |
| 24 | Gross margin and average profitability of suppliers |
| 25 | New product development in past 12 months |
| 26 | M&A in past 12 months |
| 27 | Growth strategy of leading players |
| 28 | Market share of vendors, 2023 |
| 29 | Company Profiles |
| 30 | Unmet needs and opportunity for new suppliers |
| 31 | Conclusion |
| 32 | Appendix |
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