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Last Updated: Apr 25, 2025 | Study Period: 2023-2030
An image processor, also known as an image processing engine, image processing unit (IPU), or image signal processor (ISP), is a sort of media processor or specialised digital signal processor (DSP) used for image processing in digital cameras or other devices.
Multiple cameras are used in ADAS features to enable a wide range of human and machine vision applications. Surround view systems, for example, employ data from cameras around the car to visually present information to the driver to assist them in making judgements while parking.
The Global Automotive Image Signal Processor 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.
Arm unveils a new vehicle image signal processor designed to accelerate the deployment of driver assistance and automation systems. The Mali-C78AE image signal processor (ISP) has been added to Arm's "AE" range of safety-capable IP for ADAS and human vision applications.
The Mali-C78AE, in conjunction with the Cortex-A78AE CPU and Mali-G78AE GPU, provides an optimal ADAS visual pipeline.Mobileye is the first company to licence Mali-C78AE, as well as Mali-G78AE, for its next-generation EyeQ technology.
Advanced Driver Assist Systems (ADAS) have progressed from a luxury vehicle feature to a capacity that consumers now anticipate as standard in new vehicles.
At the same time, the worldwide chip shortage is emphasising to the automobile industry the importance of silicon and electronics in the development and competitive positioning of its products.
Individual camera setups are currently required to achieve numerous ADAS functionalities since cameras intended for machine vision applications, such as lane departure alerts, do not create images acceptable for human vision, such as surround view.
Mali-C78AE enables dual-purpose camera sensors to lower the cost of implementing numerous ADAS functionalities by downscaling and colour-translating the outputs of sensors optimised for machine vision to create images suitable to the human eye.
By avoiding duplication in cameras and their accompanying electronics and wiring, OEMs save on cost and complexity, allowing for broader deployment of camera-based ADAS capabilities across a diverse range of car models, resulting in a safer, better user experience for drivers.
| 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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