Automotive Data Volume 2026-2036: Strategic Transformation!

The automotive industry is undergoing a major transformation with new generation computing systems based on Artificial Intelligence (AI) capabilities. As systems from Level 2 to Level 4 require 30-1,000 Tera Operations Per Second (TOPS), the power consumption and cooling efficiency of electric vehicles have become critical in this period. Key players such as Nvidia, Qualcomm, Mobileye, and Horizon stand out with advanced system-on-chip (SoC) solutions for various levels of automotive categories.

The newly published report "Automotive Computing Market 2026-2036" examines these trends in areas such as Advanced Driver Assistance Systems (ADAS), in-cabin monitoring systems, and connected vehicle technologies. The report explores emerging markets such as in-cabin 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 competently analyzes the development of the automotive computing ecosystem from 2026 to 2036. It addresses the technological, regional, and competitive dynamics among ADAS, autonomous driving (SAE Levels 0-5), in-cabin monitoring systems, software-defined vehicle architectures, and connected vehicle technologies.

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

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

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

The report also examines the transformation of Software Defined Vehicle (SDV) architectures, 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 annual recurring revenues of $30-50 billion by 2035, along with automotive computer platforms, central control units, and connected services.