Automotive Data Volume 2026-2036: Strategic Transformation!

The automotive industry is undergoing a significant transformation driven by next-generation computing systems based on Artificial Intelligence (AI) capabilities. With systems 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 period. Major players such as Nvidia, Qualcomm, Mobileye, and Horizon stand out with advanced System on Chip (SoC) systems 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), interior monitoring systems, and connected vehicle technologies. The report investigates developing markets such as interior monitoring systems resulting from new regulatory requirements and the transition to centralized computing in software-defined vehicles.

The report, published in Dublin on November 19, 2025, analyzes the evolution of the automotive computing ecosystem from 2026 to 2036 in a competent manner. It addresses 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 inflection point in the 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 transportation demands of autonomous driving and software-defined vehicle architectures, making this sector one of the fastest-growing segments in 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) that have captured a 60% global market share through aggressive pricing and local OEM partnerships.

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

The report also examines the transformation of Software-Defined Vehicle (SDV) architectures, comparing them against 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, covering automotive computing platforms, centralized control units, and connected services.