GLOBAL AUTOMOTIVE AI PERCEPTION SOC MARKET

INTRODUCTION

The function of an Automotive SOC also known as a "ASOC" or Automotive Security Operation Center is to continuously monitor, investigate, and enhance the security posture of fleets. It can be performed internally or externally.

The two methods currently used by OEMs to create an ASOC are either building it as an addition to their current IT SOC or outsourcing it to a Managed Security Service Provider (MSSP).

Traditional IT SOC technologies are not intended to manage millions of endpoints with such enormous data volumes.

As a result, Automotive SOC technology ought to enable the following abilities: Identify and address novel technological problems related to scale, connection, geolocation, protocols, and backdating processing.

GLOBAL AUTOMOTIVE AI PERCEPTION SOC MARKET SIZE AND FORECAST

The Global Automotive AI perception SoC 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.

MARKET DYNAMICS

The automotive CV2FS AI perception system-on-chip (SoC) from edge AI semiconductor manufacturer Ambarella, Inc., received ASIL C certification from external auditor exida.

For front ADAS to Level 4 systems, this functional safety level is more demanding than the ASIL B certifications that are commonly seen in this class of AI SoCs.

As a result, Tier-1s and OEMs in the automotive and robotics industries can achieve high levels of safety with much simpler system architectures, reducing system cost and power consumption and speeding up time to market.

NEW PRODUCT LAUNCH

Ambarella has launched a family of SoCs for Single-Chip Multi-Sensor perception, synthesis, and path planning in ADAS and L4 autonomous cars. High-resolution image, radar, and ultrasonic processing at extremely low power are all included in the unparalleled 500 eTOPS AI performance of the CV3 car processor family.

The CV3 supports software applications for autonomous vehicles (AV) by offering up to 16 Arm® Cortex-A78AE CPU cores, up to a 30x improvement in CPU performance over the previous version. With the help of this family, multi-sensor perception, including high-resolution vision, radar, ultrasonic, and lidar, can be processed centrally on a single chip.

Additionally, deep fusion for various sensor modalities and AV route planning are made possible. With the introduction of their new CV3 AI domain controller family, people can run the entire ADAS and AD stack on a single chip with previously unheard-of speed and power efficiency. 

Ambarella is assisting the automotive sector in unlocking higher levels of perception accuracy across all environmental conditions to realize the promise of autonomous driving through improvements to their on-chip ISP and concurrent radar processing that can benefit from their Oculii adaptive AI algorithms.

The next-generation CVflow architecture from Ambarella, which maintains the business's algorithm-first design ethos, makes its premiere with the CV3.  The on-chip neural vector processor (NVP), which offers up to 500 eTOPS of AI compute, industry-leading power economy, and support for the most recent developments in neural network (NN) inferences, was created as a result of this.

Advanced radar perception software, such as the Oculii adaptive AI software algorithms, can be operated on the NVP due to additional improvements. A novel floating-point general vector processor (GVP) was created to complement this and offload traditional computer vision and radar processing from the NVP engines, as well as algorithms that require a lot of floating-point computation from the Arm CPUs. 

Automakers can unify their software stacks across their complete retail portfolios thanks to the CV3 family's unique hardware scalability, which also lowers the cost and complexity of software development. This scalability offers an alternative to the fragmented ADAS SoC offerings from rivals, directly addressing the growing complexity of car software.

Additionally, by giving manufacturers the headroom for a single, robust over-the-air (OTA) update implementation, the CV3 family shortens the development timelines for new features while streamlining their deployment.

From its low-power SoCs for regulatory-class, forward-facing cameras scaling all the way to premium SoCs for Level 4 fully automated driving, this new family has a variety of choices to meet the product strategies of OEMs and Tier 1s equally.

Additionally, the central and zonal designs are supported by this new family. The CV3 can handle in-cabin sensing applications, including driver and occupant monitoring, in addition to processing the entire AD stack.

THIS REPORT WILL ANSWER FOLLOWING QUESTIONS

1. What is the average cost per Global Automotive AI perception SoC market right now and how will it change in the next 5-6 years?
2. Average cost to set up a Global Automotive AI perception SoC market in the US, Europe and China?
3. How many Global Automotive AI perception SoC markets are manufactured per annum globally? Who are the sub-component suppliers in different regions?
4. What is happening in the overall public, globally?
5. Cost breakup of a Global Automotive AI perception SoC market and key vendor selection criteria
6. Where is the Global Automotive AI perception SoC market manufactured? What is the average margin per equipment?
7. Market share of Global Automotive AI perception SoC market manufacturers and their upcoming products
8. The most important planned Global Automotive AI perception SoC market in next 2 years
9. Details on network of major Global Automotive AI perception SoC market and pricing plans
10. Cost advantage for OEMs who manufacture Global Automotive AI perception SoC market in-house
11. 5 key predictions for next 5 years in Global Automotive AI perception SoC market
12. Average B-2-B Global Automotive AI perception SoC market price in all segments
13. Latest trends in Global Automotive AI perception SoC market, by every market segment
14. The market size (both volume and value) of Global Automotive AI perception SoC market in 2024-2030 and every year in between?
15. Global production breakup of Global Automotive AI perception SoC market, by suppliers and their OEM relationship