Summary
The trend toward SDVs (software-defined vehicles) is steadily advancing, and development environments and tools for applications that link in-vehicle ECUs (HPC/domain ECUs) and the cloud, which is a prerequisite for connected cars, are being developed. Standardization activities for application/software APIs*, which are the source of added value, have begun, moving from a competitive area to a cooperative area. In addition, cybersecurity measures, one of the weak points of SDVs/connected cars, are being prepared not only to prevent direct threats, but also in combination with SBOM*, classification and legal frameworks are also being prepared.
API* (Application Programming Interface): A point of contact that serves as a bridge between software programs and web services
SBOM*: Software Bill of Materials
| 1. Exterior view of the Valeo booth (Source: Photo by MarkLines) |
The Automotive Engineering Exposition 2025, organized by the Society of Automotive Engineers of Japan, Inc., was held from May 22 to 24, 2025, at the Pacifico Yokohama convention and exhibition center. This report describes the content of exhibits and presentations related to SDVs (Software Defined Vehicles） by Valeo, Canon IT Solutions, Siemens, NTT Data ARC, Vector, VicOne, and JASPAR, as well as the presentations by PlaxidityX and Bosch.
Local Reconstruction Note
This article has been expanded from the visible local mirror text, headings, tags, image captions, tables, and related local article titles. It is presented as a reconstructed reading version, not as a hidden original document.
Valeo: SDV Ecosystem (connecting vOS from virtual/real development)
The source outline identifies this section as part of “SDV Application Development”. Based on the available local metadata, this section should be read through the lens of SDV, JSAE, Cybersecurity, MBD, Connected Car, ECU and the visible introduction, figures, captions, and tables.
Canon IT Solutions: From model-based development to AUTOSAR solutions
The source outline identifies this section as part of “SDV Application Development”. Based on the available local metadata, this section should be read through the lens of SDV, JSAE, Cybersecurity, MBD, Connected Car, ECU and the visible introduction, figures, captions, and tables.
Siemens: Contributing to the SDV Alliance and advancing approaches to realize SDVs
The source outline identifies this section as part of “SDV Application Development”. Based on the available local metadata, this section should be read through the lens of SDV, JSAE, Cybersecurity, MBD, Connected Car, ECU and the visible introduction, figures, captions, and tables.
NTT Data ARC: Providing development and operation processes (ZIPC tool suite) to accelerate SDV development
The source outline identifies this section as part of “SDV Application Development”. Based on the available local metadata, this section should be read through the lens of SDV, JSAE, Cybersecurity, MBD, Connected Car, ECU and the visible introduction, figures, captions, and tables.
Vector: Providing products and services to support the entire SDV development cycle
The source outline identifies this section as part of “SDV Application Development”. Based on the available local metadata, this section should be read through the lens of SDV, JSAE, Cybersecurity, MBD, Connected Car, ECU and the visible introduction, figures, captions, and tables.
Related Local Signals
Nearby records in the local archive include Taipei AMPA 2026: Foxconn’s EV Technology; Smart Energy Week 2026: Batteries and Charging; Electrified Vehicle (xEV) Sales Monthly Report (March 2026); Geely i-HEV Intelligent Hybrid Technology Presentation. These titles can be used as adjacent evidence when comparing suppliers, technologies, markets, and reporting periods.