Automotive Data Volume 2026-2036: Strategic Transformation!

The automotive industry is undergoing a significant transformation with new generation computing systems based on Artificial Intelligence (AI) capabilities. With systems ranging from Level 2 to Level 4 requiring between 30-1,000 Tera Operations Per Second (TOPS), the power consumption and cooling efficiency of electric vehicles have become critical in this era. Important players like Nvidia, Qualcomm, Mobileye, and Horizon stand out with advanced system-on-chip (SoC) solutions for various levels of the automotive category.

The newly released report titled "Automotive Computing Market 2026-2036" examines trends in areas such as Advanced Driver Assistance Systems (ADAS), interior monitoring systems, and connected vehicle technologies. The report investigates emerging markets such as interior monitoring systems driven by new regulatory requirements and the transition to centralized computing in software-defined vehicles.

Published in Dublin on November 19, 2025, the report provides a competent analysis of the development of the automotive computing ecosystem from 2026 to 2036. It covers the technological, regional, and competitive dynamics among ADAS, autonomous driving (SAE Levels 0-5), interior monitoring systems, software-defined vehicle architectures, and connected vehicle technologies.

The automotive computing market is reaching a critical turning point in its transformation from traditional embedded controllers to complex AI-powered platforms that elevate data center infrastructure to an equivalent level. This evolution is supported by transportation demands for autonomous driving and software-defined vehicle architectures, making this sector one of the fastest-growing segments in the semiconductor industry.

The report also presents a detailed technical and market analysis of LiDAR, radar, and camera technologies. It highlights the strategies of Chinese LiDAR manufacturers (Hesai, RoboSense, Livox, Seyond) that have captured 60% of the global market share through aggressive pricing and partnerships with local OEMs.

Nvidia continues to lead in high-performance autonomous computing with products like the Orin SoC (254 TOPS) and Thor (2,000 TOPS, set for 2025-2026 production) catering to market demands. Qualcomm competes with Nvidia in the mid-range with its Snapdragon Ride platforms, while Mobileye secures a strong position in autonomous driving systems by integrating its EyeQ SoCs with its own perception software.

The report also examines the transformation of Software-Defined Vehicle (SDV) architectures by comparing the architectural evolution criteria of major manufacturers such as Tesla, BYD, XPeng, Nio, Mercedes-Benz, BMW, and Volkswagen. It is expected that the report will generate an annual recurring revenue of $30-50 billion by 2035 concerning automotive computer platforms, central control units, and connected services.