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Last Updated: Apr 25, 2025 | Study Period: 2023-2030
The ability of cars to see their surroundings and choose the appropriate course of action to protect the safety of all road users is largely dependent on their vision systems.Technology with automotive grade dependability, safety, and security is needed to co-pilot an automobile before fully automating it.
Computer vision is utilised in the automotive sector to inspect every single production detail. Simply said, it looks for defects in every single product made and discards those that do.Surface detection (looking for dents, dings, etc.) and functional fault identification are included in this.
In order to improve a driver's awareness and seeing distance in the dark or inclement weather beyond the range of the car's headlights, automobile night vision systems use thermographic cameras. Such devices are available as extra equipment on a few high-end vehicles.
The computer receives the digital image that has been sent from the image sensor first. The necessary characteristics on the digital image are then highlighted to make them stand out, preparing it for analysis. The exact features that must be viewed and measured are then found by analysing the image.
Discussion is held regarding the use of vision systems in the areas of visual inspection, process control, part handling, and assembly. Important examples include the robotic identification of rear axles for spray painting, automatic tyre assembly, welding process control, and pattern-correct textile stitching.
The Global Automotive Vision System market accounted for $XX Billion in 2022 and is anticipated to reach $XX Billion by 2030, registering a CAGR of XX% from 2023 to 2030.
ZBOX Technologics, the development of completely autonomous L5 vehicles will be made possible by the quickening development of automotive vision technology, which is transforming advanced driver assistance systems (ADAS).
For today's driver, ADAS Vision Systems already offer a variety of assistance features. Cars use their vision systems to perceive their surroundings and choose the appropriate course of action to protect the safety of all road users.
It takes technology with automotive grade dependability, safety, and security to co-pilot and subsequently fully automate a car. The performance and functionality required for vision system applications are provided by our S32V vision processor.
| 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, 2023-2030 |
| 18 | Market Segmentation, Dynamics and Forecast by Product Type, 2023-2030 |
| 19 | Market Segmentation, Dynamics and Forecast by Application, 2023-2030 |
| 20 | Market Segmentation, Dynamics and Forecast by End use, 2023-2030 |
| 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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