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Last Updated: Apr 25, 2025 | Study Period: 2023-2030
Advanced driver assistance systems (ADAS) of the next generation can be created with ease using the automotive reference design system (ARDS), which offers automotive imaging-system and software developers a plug-and-play platform.
With ARDS' modular design, system developers may readily combine and match image sensors, image signal processors (ISPs), and long distance serializer modules, resulting in faster system development and a quicker time to market. Rear video mirrors, camera monitor systems, and dash cams are just a few of the many ADAS applications for which ARDS is particularly well suited.
The Global Automotive Reference Design System (ARDS) 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.
A major provider of cutting-edge digital imaging solutions, OMNIVISION Technologies, Inc., today announced its launch of an automotive reference design system (ARDS) that offers a plug-and-play framework for creating automobile imaging systems. Image sensors, image signal processors, and long-distance serializer modules can all be mixed and matched by automotive imaging systems and software developers thanks to ARDS' modular design from OMNIVISION.
The advanced driver-assistance systems (ADAS), rear video mirrors, camera monitor systems (CMS), and dash cameras are all excellent candidates for OMNIVISION's ARDS due to its small form factor. The ADAS market, which includes surround-view and rear-view camera systems, is expected to increase significantly. Automotive OEMs must create their own modules and frequently wait for third-party advancements due to the lack of modularity and integration issues in current approaches to system design.
Additionally, real-time video testing is not possible with the demo systems currently available and they cannot be mounted on a vehicle for evaluation and testing. Time to market may therefore be expensive and lengthy. The resources and design time needed to create functional prototype solutions are reduced by ARDS. It decreases the cost and time of evaluating and testing a new system and enables customers to design-in OMNIVISION image sensors and image signal processors.
| 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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