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Automotive AI Chipset Market Trends

Report ID: GMI6794
Published Date: Sep 2023
Report Format: PDF

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Automotive AI Chipset Market Trends

The trend toward edge AI processing involves performing AI computations directly on devices rather than relying on cloud servers. In the automotive context, this ensures real-time decision-making for autonomous vehicles and reduces latency in AI-driven applications. Further, predictive maintenance powered by AI is gaining traction. Automotive AI chipsets are used to monitor vehicle components, predict potential failures, and schedule maintenance, enhancing vehicle reliability & reducing downtime. With the growing complexity of automotive electronics, AI chipsets are utilized for advanced cybersecurity. They help detect and prevent cyber threats, safeguarding connected vehicles from hacking & data breaches. Additionally, collaboration between automakers, AI chipset manufacturers, and tech companies is a prominent trend. These partnerships aim to co-develop AI solutions tailored to the unique requirements of the automotive industry, fostering innovation and market growth.

Authors: Suraj Gujar , Deeksha Vishwakarma

Frequently Asked Questions (FAQ) :

Market size for automotive AI chipset was valued at over USD 2.3 billion in 2022 and is anticipated to grow at a CAGR of over 20% between 2023 & 2032, owing to the pursuit of autonomous driving technology.

The passenger vehicle segment held a dominant market share of over 70% in 2022 and is expected to grow at a lucrative pace by 2032, driven by the demand for enhanced safety, convenience, and driving experiences in these vehicles.

North America held a significant market share of over 30% in 2022 and slated to continue robust growth through 2032, favored by the presence of major automotive manufacturers, tech giants, and a robust research ecosystem in the region that has accelerated AI integration into vehicles.

Nvidia, Qualcomm, Intel, Renesas Technologies, and others.