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자동차용 서비스 지향 아키텍처(SOA) 및 크로스 도메인 미들웨어 시장(2026년)

Automotive Service-Oriented Architecture (SOA) and Cross-Domain Middleware Industry Report, 2026

발행일: | 리서치사: 구분자 ResearchInChina | 페이지 정보: 영문 580 Pages | 배송안내 : 1-2일 (영업일 기준)

    
    
    



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자동차 SOA 및 크로스 도메인 미들웨어에 대한 조사 - AI 아토믹 서비스와 AI 크로스 도메인 융합 에이전트의 시대가 도래하고 있습니다.

  • 자동차 SOA는 AI와 완전한 SOA 서비스화로 진화하고 있습니다.

AI 등 지능화에 힘입어 자동차 소프트웨어 기술 전체가 소프트웨어 정의 차량(SDV)에서 AI 정의 차량으로 점차 변모하고 있습니다. 이는 EEA가 중앙집중형 AI 네이티브 아키텍처로 전환하고 있다는 점, 소프트웨어 SOA+AI 네이티브화가 진행되고 있다는 점, 기술 반복 주기가 5-7년 며칠 단위의 모델 반복으로 단축되고 있다는 점 등에 반영되어 있습니다.

SOA 기반의 AI 아토믹 서비스는 전체 SOA 기능을 더욱 세분화하여 AI 에이전트에게 높은 스케줄링 유연성과 시나리오 적응성을 제공하여 차량이 '요구사항 이해, 요구사항 예측, 요구사항 충족'이라는 진정한 지능형 기능을 갖출 수 있도록 합니다.

2025년 말, SAIC 그룹은 풀스택 4.0 AI EEA를 발표하고 AI를 핵심으로 자동차 아키텍처를 재구축했습니다. 이 아키텍처는 'SOA+A2A/MCP 프레임워크+에이전트'라는 3자 구성의 생태계를 제안하고, 에이전트형 AI 협동지능이라는 새로운 패러다임을 구축합니다. 에이전트형 AI는 에이전트 엔진이 되어 음악 엔터테인먼트, 스케줄 관리, 에너지 보충 서비스, 지능형 차량 제어, 지능형 운전 지원 등 여러 전문 에이전트를 포괄하고, 월드 모델, 의도 이해, 계획 실행 등의 핵심 모듈을 통해 모든 시나리오에서 지능형 서비스를 실현합니다. 를 통해 모든 시나리오에서 지능형 서비스를 실현합니다. 이 아키텍처는 2027년에 양산될 예정입니다.

2026년 4월, GAC그룹은 전 영역 통합을 실현한 최신 차세대 스마트 아키텍처 'X-Soul 4.0'을 공식 발표했습니다. 이 아키텍처를 기반으로 3,600개의 기능 아톰이 생성되었으며, 이전 세대에 비해 그 수가 거의 두 배로 증가했습니다. 각 아톰은 하나의 기본 기능을 의미합니다. 사용자는 자동차에 특화된 시나리오를 블록처럼 자유롭게 조합할 수 있습니다. 현재 GAC의 소유자는 이 시스템을 기반으로 10만개 이상의 사용자 정의 시나리오를 생성하고 있으며, 차량은 진정으로 고유한 모빌리티 파트너가 되었습니다. 향후에는 사용자의 습관에 능동적으로 적응하는 AI 시나리오 에이전트가 도입될 예정입니다.

2026년 4월, SAIC Roewe와 Volcano Engine은 공동으로 AI 네이티브 기술 아키텍처 'CPP'를 발표했습니다. 이를 통해 2,000개 이상의 SOA 전 영역 서비스 인터페이스를 구축하여 차량이 소프트웨어와 하드웨어 정보를 원자 수준에서 분해하고 정밀한 스케줄링을 실현할 수 있도록 합니다. 이 아키텍처는 "컨텍스트 플래너 픽셀"의 폐쇄 루프 설계를 통해 AI와 차량 하드웨어의 심층적인 통합을 실현하여 AI가 인식과 의사결정을 내릴 뿐만 아니라 차량 기능을 직접 제어할 수 있도록 함으로써 "인식-의사결정-실행"의 완전한 체인을 형성합니다. "인식-의사결정-실행"의 완전한 사슬을 형성합니다. 이것이 Roewe의 AI 네이티브 차량 'Jiayue' 시리즈의 기술적 기반이 되고 있습니다.

크로스 도메인 융합 미들웨어의 새로운 개념 - AI 기반 모델 + 슈퍼 에이전트를 통한 차량 전체에 대한 역량 강화

  • 2026년, 스마트 자동차의 크로스 도메인 통합 추세는 빠르게 발전하고 있습니다. OEM과 공급업체들은 조종석과 운전의 통합 등 크로스 도메인/멀티 도메인 통합에 대한 탐구를 계속하고 있습니다. 크로스 도메인 통신 미들웨어의 적극적인 도입과 더불어 AI가 자동차에 깊숙이 통합됨에 따라 AI 기반 모델+에이전트에 기반한 크로스 도메인 통합의 전개가 새로운 관심사로 떠오르고 있습니다.

AI 기반 모델에 힘입어 AI 에이전트는 자율적인 인식, 의사결정 및 협업, 그리고 지속적인 진화 능력을 활용하여 자동차 산업에서 도메인 간, 링크 간 분리된 기술적 장벽을 허물 수 있습니다. 이들은 자율주행, 조종석, 차량 제어 등 멀티 도메인 기술 모듈을 내부적으로 연결하여 크로스 도메인 데이터 흐름과 기능 연계를 실현합니다. 또한 외부적으로는 차량-도로-클라우드의 생태계, 사용자의 요구, 공급망의 자원을 연계하여 '요구사항-개발-구현-피드백'의 폐쇄형 루프를 형성합니다.

2026년, OEM 업체들은 'IM Ultra Agent', 'Geely Super Eva'와 같은 AI 크로스 도메인 융합 에이전트 제품을 적극적으로 출시하고 있습니다. 에이전트는 점차 차량의 핵심 가치를 재정의하고 있으며, 차량은 더 이상 단순한 이동 수단이 아닌 이해하고, 생각하고, 행동할 수 있는 '초지능 파트너'로 변모하여 지능형 모빌리티를 새로운 시대로 이끌고 있습니다. 공급업체들 역시 AI 기반 모델 + 에이전트 기반의 크로스 도메인 융합 제품 구현을 적극적으로 모색하고 있습니다.

2026년 4월, 화웨이는 HarmonySpace 6을 정식으로 출시했습니다. 이에 따라 Xiaoyi의 핵심 MoLA 아키텍처는 버전 2.0으로 진화하여 Xiaoyi는 모든 시나리오를 지원하는 크로스 도메인 대화형 조종석 에이전트로 업그레이드되었습니다. 새로운 Xiaoyi는 조종석내 경험을 향상시킬 뿐만 아니라 ADS와 연동하여 모호한 상대 위치 검색과 모호한 특징 검색을 지원하여 사용 편의성을 더욱 향상시켰습니다. 또한 Xiaoyi는 타사 에이전트에 대한 액세스를 지원하여 식사 주문, 커피 주문, 팟캐스트 재생 등의 기능을 구현할 수 있습니다.

2026년 4월, 호라이즌 로보틱스는 'Task as a Service'라는 지능형 인터랙션 패러다임을 실현하는 차량 에이전트 OS 'KaKaCla'를 정식 출시했습니다. 사용자는 자연 언어 지시만으로 지능형 운전과 지능형 콕핏을 동시에 병렬로 스케줄링할 수 있습니다. 물리적 에이전트, 디지털 에이전트, 엣지 클라우드 기반 모델이 동기화되어 응답하고, 도메인 전반의 운영 프로세스를 자동으로 계획하고 실행합니다. Horizon Robotics는 HSD(물리적 AI 운전 능력)와 KaKaClaw(디지털 AI 대화 능력)의 결합을 통해 양산 수준에서 물리적 세계의 운전과 디지털 세계의 대화를 완전히 통합하여 차량에 '운전, 대화, 행동, 성장'이 가능한 모든 에이전트 능력을 갖추게 되었습니다. 할 수 있는 모든 에이전트 능력을 갖췄습니다.

자동차 소프트웨어 툴은 AI 네이티브 툴 플로우로 진화하여 소프트웨어 개발의 새로운 패러다임을 재구축하고 있습니다.

자동차의 지능화가 가속화되는 가운데, 기존의 소프트웨어 개발 모델은 인간과 기계의 협업 효율이 낮고 납품 주기가 길어지는 등의 문제에 직면해 있습니다. AI 에이전트 개발 가속화에 힘입어 자율주행차 소프트웨어 개발 툴은 기존의 모듈형 아키텍처에서 AI 에이전트 중심의 패러다임으로 변화하고 있습니다. 이러한 변화에서 AI는 더 이상 특정 공정의 효율화 툴이 아니라 요구사항 정의, 설계, 개발, 테스트, 검토, 배포, 운영, 유지보수 등 전체 수명주기에 걸친 변화의 원동력이 되고 있습니다. 동시에 협업 모델도 '사람+툴'에서 '사람+에이전트 그룹'이라는 AI 네이티브 툴 플로우 모델로 점차 진화하고 있습니다. 최근 OEM 및 공급업체들도 AI 기반 소프트웨어 개발 프로세스의 새로운 변화를 적극적으로 모색하고 있습니다.

2026년 4월, 메르세데스-벤츠는 코그니션과 전략적 파트너십을 체결하고 전 세계 엔지니어링 팀에 데빈과 윈드서프를 도입했습니다. 이는 자동차 산업에서 AI 소프트웨어 엔지니어링을 대규모로 도입한 최초의 사례입니다. AI 기반 IDE인 윈드서프는 클라우드 네이티브 애플리케이션, 마이크로서비스, 최신 웹 및 모바일 솔루션을 구축하는 팀을 지원합니다. 한편, Devin은 비동기 작업을 위한 자율적인 클라우드 기반 에이전트 역할을 합니다. Devin for Terminal은 가장 어려운 엔지니어링 작업을 처리하고, 명령줄 수준의 자율 실행 기능을 제공합니다.

2026년 4월, KOTEI는 AI 네이티브 시대를 위한 자동차 소프트웨어 개발 플랫폼 'SDW AIKO'를 정식 출시했습니다. 이 플랫폼은 인간과 기계의 심층적인 협업과 개발 프로세스의 리팩토링을 통합하고 AI 에이전트를 통해 자동차 소프트웨어 엔지니어링의 전체 라이프 사이클을 촉진합니다. 프로젝트 시작부터 지속적인 최적화에 이르기까지 SDW AIKO는 AI를 협업 팀처럼 작동시켜 분석, 계획, 실행에 참여시켜 지속적으로 경험을 축적하고 스스로 진화해 나갑니다. 이를 통해 AI는 애플리케이션을 통해 더 똑똑해지고, 단순한 보조 툴에서 진정한 개발 파트너로 한 단계 더 발전할 수 있습니다.

목차

제1장 자동차용 서비스 지향 아키텍처(SOA)의 현황과 크로스 도메인 미들웨어 레이아웃 및 개발

제2장 자동차 SOA와 크로스 도메인 미들웨어 응용 사례

제3장 자동차 SOA와 크로스 도메인 미들웨어의 개발과 진화의 동향

제4장 자동차 소프트웨어 개발툴에서 AI 주도 변혁의 동향

제5장 주요 OEM에서 SOA 및 미들웨어의 응용

제6장 중국의 자동차용 SOA 설계와 미들웨어 공급업체

제7장 해외 자동차용 SOA 설계 및 미들웨어 공급업체

KSA 26.06.01

Research on automotive SOA and cross-domain middleware: The era of AI atomic services and AI cross-domain fusion agents is coming.

  • Automotive SOA evolves towards AI + full SOA servitization

Driven by intelligence such as AI, the entire automotive software technology has gradually transformed from software-defined vehicles (SDVs) to AI-defined vehicles, reflected in EEAs shifting to centrally integrated AI native architectures, software SOA + AI native, from technology iteration cycle of 5-7 years to model iteration in days, etc.

AI atomic services, based on SOA, provide AI agents with greater scheduling flexibility and scenario adaptability through a more refined breakdown of full SOA capabilities, enabling vehicles to truly possess the intelligent capabilities to "understand requirements, predict requirements, and meet requirements".

At the end of 2025, SAIC Group released the full-stack 4.0 AI EEA, which reshapes the automotive architecture with AI as the core. This architecture proposes a "SOA+A2A/MCP Framework + Agent" tripartite ecosystem to build a new paradigm of Agentic AI collaborative intelligence. Agentic AI becomes the agent engine, covering multiple special agents such as music entertainment, schedule management, energy replenishment services, intelligent vehicle control and intelligent driving assistance, and realizes all-scenario intelligent services with core modules such as world model, intention understanding, and planning execution. This architecture is planned to be mass produced in 2027.

In April 2026, GAC Group officially released the latest next-generation smart architecture - X-Soul 4.0 with full-domain integration. Based on this architecture, 3,600 functional atoms are created, nearly doubling the number compared with the previous generation. Each atom means a basic capability. Users can freely combine exclusive automotive scenarios like building blocks. Currently, GAC car owners have created more than 100,000 user-defined scenarios based on this system, making vehicles truly exclusive mobility partners. In the future, an AI scenario agent will be launched to proactively adapt to user habits.

In April 2026, SAIC Roewe and Volcano Engine jointly launched the AI native technology architecture - CPP to build 2000+ SOA full-domain service interfaces, allowing vehicles to achieve atomic-level software and hardware information disassembly and precise scheduling. This architecture realizes the deep integration of AI and vehicle hardware through the Context-Planner-Pixel closed-loop design, so that AI can not only perceive and make decisions, but also directly control vehicle functions, forming a complete chain of "perception-decision-execution", which is the technical basis for the "Jiayue" series of Roewe's AI native vehicles.

New concept for cross-domain fusion middleware: AI foundation models + full vehicle empowerment by super agent

  • In 2026, the cross-domain integration trend of intelligent vehicles sees rapid development. OEMs and suppliers continue to explore cross-domain/multi-domain integration such as cockpit-driving integration. In addition to actively deploying cross-domain communication middleware, cross-domain integration layout based on AI foundation models + agents has become a new hot spot as AI is deeply integrated into automobiles.

Driven by AI foundation models, AI agents can break through the traditionally separated technical barriers between domains and links in the automotive industry with their autonomous perception, decision collaboration, and continuous evolution capabilities. They can internally connect multi-domain technology modules such as intelligent driving, cockpits, and vehicle control to achieve cross-domain data flow and functional collaboration. They can also externally link the vehicle-road-cloud ecosystem, user needs, and supply chain resources to form a "requirement - development - implementation - feedback" closed loop.

In 2026, OEMs actively deploy AI cross-domain fusion agent products, such as IM Ultra Agent and Geely Super Eva. Agents are gradually reshaping the core value of vehicles which are no longer simply transportation tools, but have become "super intelligent partners" capable of understanding, thinking, and acting, propelling intelligent mobility into a new era. Suppliers are also actively exploring the implementation of cross-domain fusion products based on AI foundation models + agents.

In April 2026, Huawei officially released HarmonySpace 6, in which Xiaoyi was upgraded to an all-scenario cross-domain interactive cockpit agent as Xiaoyi's core MoLA architecture evolved to version 2.0. While improving the in-cockpit experience, the new Xiaoyi can also be linked with ADS to support fuzzy relative position search and fuzzy feature search, further improving usability. Xiaoyi also supports third-party agent access to realize functions such as ordering food, ordering coffee, and listening to podcasts.

In April 2026, Horizon Robotics officially released KaKaCla, a vehicle agent operating system which realizes the intelligent interaction paradigm of "task as a service". With only natural language instructions, users can schedule intelligent driving and intelligent cockpit in parallel at the same time. Physical agents, digital agents and edge-cloud foundation models respond synchronously to automatically plan and execute cross-domain operation processes. Through the combination of HSD (physical AI driving capability) + KaKaClaw (digital AI interaction capability), Horizon Robotics has completely integrated physical world driving and digital world interaction at the mass production level, allowing vehicles to have all agent capabilities that can "drive, chat, act, and grow".

Automotive software tools evolve to AI native tool flow, reconstructing a new paradigm of software development

As automotive intelligence accelerates, traditional software development models are facing challenges such as low human-machine collaboration efficiency and long delivery cycles. Driven by the accelerated development of AI agents, autonomous vehicle software development tools are transforming from a traditional modular architecture to an AI agent-driven paradigm. In this transformation, AI is no longer an efficiency improvement tool in a certain link, but a change throughout the entire life cycle of requirements, design, development, testing, review, deployment, operation and maintenance. At the same time, the collaboration model has gradually evolved from "people + tools" to the AI native tool flow model of "people + agent groups". In recent years, OEMs and suppliers have also been actively exploring new changes in AI-driven software development processes.

In April 2026, Mercedes-Benz formed a strategic partnership with Cognition to deploy Devin and Windsurf across its global engineering teams. This is the first large-scale deployment of AI software engineering in the automotive industry. Windsurf, as an AI-driven IDE, serves teams building cloud-native applications, microservices, and modern web and mobile solutions; Devin acts as the autonomous, cloud-based agent for async work. Devin for Terminal handles the most challenging engineering tasks, providing command-line level autonomous execution capabilities.

In April 2026, KOTEI officially released SDW AIKO, an automotive software development platform for the AI native era. It integrates deep human-machine collaboration with development process refactoring, driving the entire lifecycle of automotive software engineering with an AI agent. From project initiation to continuous optimization, SDW AIKO enables AI to function like a collaborative team, participating in analysis, planning, and execution, continuously accumulating experience, and self-evolving-becoming smarter with application-truly upgrading AI from an auxiliary tool to a development partner.

Table of Contents

1 Status Quo of Automotive Service-Oriented Architecture (SOA) and Cross-Domain Middleware Layout and Development

  • 1.1 Definition of Automotive SOA
  • Definition of Automotive SOA
  • Main Features and Technical Features of Automotive SOA
  • Main Components of Automotive SOA
  • Main Functional Modules of Automotive SOA
  • Main Advantages of Automotive SOA Development
  • 1.2 Differences between Automotive SOA and Signal-Oriented Architecture
  • Comparison between SOA and Signal-Oriented Architecture (1)
  • Comparison between SOA and Signal-Oriented Architecture (2)
  • Design Differences between SOA and Signal-Oriented Architecture (1)
  • Design Differences between SOA and Signal-Oriented Architecture (2)
  • SOA and Signal-Oriented Cockpit Software Architecture
  • Examples of Differences between SOA and Signal-Oriented Architecture
  • 1.3 Summary of Latest SOA & Middleware Layout of Major OEMs
  • New Features of OEM SOA & Middleware Layout in 2026
  • Relationship between SOA & Middleware Layout and Supply Chain of Major OEMs (1):
  • Relationship between SOA & Middleware Layout and Supply Chain of Major OEMs (2):
  • Relationship between SOA & Middleware Layout and Supply Chain of Major OEMs (3):
  • Relationship between SOA & Middleware Layout and Supply Chain of Major OEMs (4):
  • Relationship between SOA & Middleware Layout and Supply Chain of Major OEMs (14):
  • Relationship between SOA & Middleware Layout and Supply Chain of Major OEMs (15):
  • 1.4 Summary of Latest SOA & Middleware Layout of Major Suppliers
  • New Features of SOA & Middleware Layout of Suppliers in 2026
  • Relationship between SOA & Middleware Layout and Supply Chain of Major Suppliers (1):
  • Relationship between SOA & Middleware Layout and Supply Chain of Major Suppliers (2):
  • Relationship between SOA & Middleware Layout and Supply Chain of Major Suppliers (3):
  • Relationship between SOA & Middleware Layout and Supply Chain of Major Suppliers (10):
  • Relationship between SOA & Middleware Layout and Supply Chain of Major Suppliers (11):

2 Automotive SOA and Cross-Domain Middleware Application Cases

  • 2.1 Multi-Domain Fusion and Central Computing Platform Scenarios Based on SOA Design
  • UAES's Driving-Control Integrated Computing Platform Based on Vehicle SOA Servitization: Software Architecture
  • UAES's Driving-Control Integrated Computing Platform Based on Vehicle SOA Servitization: Hardware Solution
  • NIO's Cross-Domain Fusion SOA Software (1)
  • NIO's Cross-Domain Fusion SOA Software (2)
  • An Automotive Heterogeneous Central Computing Platform Software Design Solution Based on SOA (1)
  • An Automotive Heterogeneous Central Computing Platform Software Design Solution Based on SOA (2)
  • An Automotive Heterogeneous Central Computing Platform Software Design Solution Based on SOA (3)
  • JOYNEXT's Central Computing Platform Software Architecture Design Based on SOA
  • NESINEXT's SOA-Supported CoreFusion Cockpit-Driving Integration Software Open Platform (1)
  • NESINEXT's SOA-Supported CoreFusion Open Cockpit-Driving Integration Software Platform (2)
  • Ecarx SOA-Based Cross-Domain Software Platform for Central Computing Platforms
  • 2.2 Autonomous Driving Scenarios Based on SOA Design
  • KPIT's ADAS Design Flow Based on SOA
  • Huawei's AI+SOA-Compliant Autonomous Vehicle Qiankun OS
  • HoloMatic Technology's SOA-Compliant Basic Autonomous Driving Software
  • STEP's SOA-Compliant Autonomous Driving Operating System
  • Freetech's SOA-Based Autonomous Driving Operating System
  • Technomous' SOA-Based Autonomous Driving Middleware
  • Banma AliOS Drive Incorporates SOA Cross-Domain Concept
  • ZTE's SOA-Based Autonomous Driving System Solution
  • Kernelsoft's Autonomous Vehicle SOA Middleware (1)
  • Kernelsoft's Autonomous Vehicle SOA Middleware (2)
  • Intelligent Driving System Solutions Based on SOA
  • 2.3 SOA-Based Intelligent Cockpit Scenarios
  • Agent-Based Intelligent Cockpit Application Layer Development Paradigm Transformation (1):
  • Agent-Based Intelligent Cockpit Application Layer Development Paradigm Transformation (2):
  • AI Agent Development Model Transformation Driven by AI, SOA and Other Software Architectures
  • NIO's SOA-Based Cockpit Software Architecture
  • SOA-Based Automotive Map APP
  • Vehicle Control Functions in SOA-Based Cockpit Software Architecture
  • 2.4 SOA-Based Intelligent Vehicle Control Scenarios
  • NIO's SkyOS-Based Atomic Service Intelligent Vehicle Control Software Platform
  • SOA Capabilities of NIO's Intelligent Vehicle Control Software Platform: Intelligent Vehicle Control Middleware
  • SOA-Based Software System of IAT's Domain Fusion XCU
  • SOA-Based Software System of BYD's DiSus Control System
  • UAES' SOA-Based Vehicle Motion Domain Controller (XCU)
  • UAES' SOA-Based XCU Software Service
  • Atech's VIU Supporting SOA Design
  • Atech's SOA-Based Body Control Function: Tire Pressure Module SOA Service Process
  • Atech's SOA-Based Body Control Function: Device Abstraction API Design
  • ZF's Vehicle Motion Control Software System (1)
  • ZF's Vehicle Motion Control Software System (2)
  • ZF's Vehicle Motion Control Software System (3)
  • Volvo's SOA-Based VIU
  • Changan Automobile's SOA-Based Vehicle Control Software Development Practice
  • Steelmate's SOA-based Body Controller
  • Aptiv's SOA-Based ZCU
  • Neusoft Reach's SOA-Based General Domain Controller
  • 2.5 Other Scenarios Based on SOA Design
  • Geely Zeekr's SOA-based OTA Solution
  • ABUP's Service-oriented OTA Solution
  • SOA-Based Automotive Functional Safety Development (1)
  • SOA-Based Automotive Functional Safety Development (2)
  • SOA Communication Flow
  • 2.6 Examples of Automotive SOA Development and Design Processes
  • Main Steps for OEM SOA Implementation
  • Main Capabilities That OEMs Need to Implement Automotive SOA
  • Automotive SOA Development Methods
  • SOA Development and Toolchain Based on CP AUTOSAR
  • SOA Development and Toolchain Based on AP AUTOSAR
  • Automotive Service-based Function Development Process
  • Automotive Service-based Function Development Process
  • Model-Based SOA Development Methods
  • Automotive SOA Connected Security Design
  • UAES' SOA Software Development Solution
  • Implementation Process of UAES' Automotive SOA in Software
  • UAES Efficiently Constructs SOA Service Foundation Based on MATLAB/Simulink
  • E-Planet Technologies' Complete SOA Design Process
  • E-Planet Technologies' SOA Design Process
  • Atech's Domain Controller Software Automotive SOA Development Process
  • Atech's Automotive SOA Development Process - Toolchain
  • Kernelsoft's Photon Automotive SOA Development Process
  • Kernelsoft's Photon SOA Software Development Toolchain

3 Development and Evolutionary Trends of Automotive SOA and Cross-Domain Middleware

  • 3.1 Trend 1: Automotive SOA Evolves from Partial Servitization to Full-Domain Servitization
  • Main Development Characteristic of Automotive Basic Software such as AI/Central Computing Platform: Evolution towards Full-Domain Vehicle SOA
  • Progress in Automotive OEM SOA Atomic Capabilities and Standard API Opening (1)
  • Progress in Automotive OEM SOA Atomic Capabilities and Standard API Opening (2)
  • Progress in Automotive OEM SOA Atomic Capabilities and Standard API Opening (3)
  • 3.2 Trend 2: AI-Driven Evolution from Automotive SOA Atomization to AI Services
  • Evolutionary Trends of Automotive AI + Software:
  • Evolution of Automotive SOA Software Technology (SOA 1.0-2.0-3.0)
  • Evolutionary Trends of Automotive AI + SOA:
  • Intelligent Evolution of Automotive AIOS
  • Evolution of Integration of AI and Vehicle Software
  • Automotive SOA Software Development Trend: Overall Architecture of Automotive AIOS
  • Automotive SOA Software Development Trend: Automotive AIOS - Architecture Layering Description and Definition
  • Evolution of SOA amid the Evolution from SDV to AIDV
  • Cases of Evolution from SOA to AI-Driven Atomic Capabilities (1)
  • Cases of Evolution from SOA to AI-Driven Atomic Capabilities (2)
  • 3.3 Trend 3:
  • Evolutionary Trends of AIDV:
  • AIOS Layout of Major OEMs (1):
  • AIOS Layout of Major OEMs (2):
  • AIOS Layout Cases of Major OEMs (1)
  • AIOS Layout Cases of Major OEMs (2)
  • AI Middleware Layout of Main Suppliers (1)
  • AI Middleware Layout of Main Suppliers (2)
  • AI Middleware Layout of Main Suppliers (3)
  • Automotive AI Agent Framework Cases:
  • 3.4 Trend 4: AI Super Agents Land on Vehicles to Empower Full-domain Integration Layout
  • Under the Trend of Combining AI Foundation Models and Agents, AI Super Agents Empower Cockpit-Driving Integration and Multi-Domain Fusion
  • Cross-Domain Integration AI Super Agent Layout of OEMs in 2026 (1)
  • Cross-Domain Integration AI Super Agent Layout of OEMs in 2026 (2)
  • Cross-Domain Integration AI Super Agent Layout of Major Suppliers in 2026
  • AI Super Agents Empower Cross-Domain Integration Cases (1):
  • AI Super Agents Empower Cross-Domain Integration Cases (2):
  • AI Super Agents Empower Cross-Domain Integration Cases (3):
  • AI Super Agents Empower Cross-Domain Integration Cases (4):
  • 3.5 Trend 5: Cross-Domain Integration Vehicle Unified Communication Middleware
  • Trends of Cross-Domain Integration and Integrated Architectures Lead to the Launch of Products Such as Vehicle Unified Middleware
  • Cross-Domain Communication Middleware Layout: OEMs
  • Latest SOA and Cross-Domain Middleware Layout of Major Suppliers (1):
  • Latest SOA and Cross-Domain Middleware Layout of Major Suppliers (2):
  • Latest SOA and Cross-Domain Middleware Layout of Major Suppliers (5):
  • Cases of SOA-Based Cross-Domain Integration Middleware (1)
  • Cases of SOA-Based Cross-Domain Integration Middleware (2)
  • Cases of SOA-Based Cross-Domain Integration Middleware (6)

4 Trends of AI-Driven Transformation in Automotive Software Development Tools

  • 4.1 AI-Driven Transformation in Automotive Software Development Tools
  • AI-Driven Transformation in Software Development Tools (1)
  • AI-Driven Transformation in Software Development Tools (2)
  • AI-Driven Transformation in Software Development Tools (3)
  • AI-Driven Transformation in Software Development Tools (4)
  • Major OEMs' Layout in New AI-Driven Automotive Software Development Tools (1)
  • Major OEMs' Layout in New AI-Driven Automotive Software Development Tools (2)
  • New AI-Driven Automotive Software Development Tools of Major Suppliers (1): AI-Driven Software Development Design Tools
  • New AI-Driven Automotive Software Development Tools of Major Suppliers (2): AI-Driven Testing and Verification Tools
  • New AI-Driven Automotive Software Development Tools of Major Suppliers (3): AI-Driven Software Tools or Development Platforms
  • New AI-Driven Automotive Software Development Tools of Major Suppliers (4): AI AUTOSAR Product Portfolio
  • New AI-Driven Automotive Software Development Tools of Major Suppliers (5): Cloud Native Virtualization Tools
  • AI-Driven Automotive Software Development Tool Transformation Cases (1):
  • AI-Driven Automotive Software Development Tool Transformation Cases (2):
  • AI-Driven Automotive Software Development Tool Transformation Cases (3):
  • AI-Driven Automotive Software Development Tool Transformation Cases (4):
  • 4.2 Transformation of Automotive Software Development Workflows:
  • AI-Driven Automotive Software Development Process Transformation and Evolution (1):
  • AI-Driven Automotive Software Development Process Transformation and Evolution (2):
  • AI-Driven Automotive Software Development Process Transformation and Evolution (3):
  • AI-Driven Autonomous Vehicle Software Development Transformation of Major OEMs (1):
  • AI-Driven Autonomous Vehicle Software Development Transformation of Major OEMs (2):
  • AI-Driven Autonomous Vehicle Software Development Transformation of Major OEMs (3):
  • AI-Driven Software Development Tool Transformation Cases:
  • AI Embedded Workflow Cases:
  • AI Native Workflow Cases (1):
  • AI Native Workflow Cases (4):
  • AI Native Workflow Cases (5):

5 SOA & Middleware Application of Major OEMs

  • 5.1 XPeng
  • Evolutionary Trends of SOA & Middleware Layout
  • Status Quo of SOA & Middleware Layout
  • Vehicle End-to-End Deterministic OS
  • SOA Communication Middleware
  • Vehicle-cloud Integrated SOA Middleware Platform
  • SOA Hardware Sharing Cases
  • SOA and SaaS
  • SOA Application Software Development
  • Left/Right ZCU SOA Evolution
  • Left/Right ZCU SOA
  • 5.2 NIO
  • Evolutionary Trends of SOA & Middleware Layout
  • Status Quo of SOA & Middleware Layout
  • Full-Domain Vehicle AI Operating System -SkyOS: 1+4+N Technology Cluster Based on SOA
  • Full-Domain Vehicle AI Operating System -SkyOS: AI Model Engine - Framework
  • Full-Domain Vehicle AI Operating System -SkyOS: AI Model Engine - Components
  • Full-Domain Vehicle AI Operating System -SkyOS: AI-Enhanced SkyOS Middleware
  • Full-Domain Vehicle AI Operating System -SkyOS: Self-Developed SOA Framework
  • Full-Domain Vehicle AI Operating System -SkyOS: Cross-Domain Communication Protocol TOX
  • SOA Capabilities of Intelligent Vehicle Control Software Platform: SkyOS-based Intelligent Vehicle Control Software Platform
  • SOA Capabilities of Intelligent Vehicle Control Software Platform: Core Architecture of Intelligent Vehicle Control Software
  • SOA Capabilities of Intelligent Vehicle Control Software Platform: Intelligent Vehicle Control Middleware
  • SOA Capabilities of Intelligent Vehicle Control Software Platform: Platformization and Decoupling
  • SOA Capabilities of Intelligent Chassis System: SkyRide VMC (Vehicle Motion Management System)
  • SOA Capabilities of Cockpit System: Architecture of SkyOS-C
  • SOA Capabilities of Cockpit System: Atomic Framework of SkyOS-C
  • Software Development Toolchain
  • 5.3 Li Auto
  • Evolutionary Trends of SOA & Middleware Layout
  • Status Quo of SOA & Middleware Layout
  • SOA and Basic Software: HaloOS (Vehicle Operating System) - Architecture
  • SOA and Basic Software: HaloOS (Vehicle Operating System) - Main Components
  • Basic Software: Overall Architecture of HaloOS
  • SOA and Basic Software: HaloOS (Vehicle Operating System) - Main Features
  • SOA and Basic Software: HaloOS (Vehicle Operating System) - Main Advantages
  • SOA Communication Middleware: VBS Communication Middleware
  • SOA Capabilities of Autonomous Driving Software Platform: Autonomous Driving OS
  • SOA Capabilities of Autonomous Driving Software Platform: Intelligent Vehicle Control OS
  • SOA Application Middleware: HaloOS - Open Source Plan
  • Intelligent Cockpit Agent: Two Agent Types of "Lixiang Tongxue"
  • Software Development Tool Transformation: Code Platformization and Development Automation
  • AI-Driven Software Development Transformation: AI Review
  • AI-Driven Software Development Transformation: Vehicle-Cloud Integrated Monitoring and Operation System
  • Software Development Tool Transformation: Results
  • AI-Driven Software Development Transformation: HaloOS Simulator
  • Software Development Tool Transformation: HaloOS Simulator - Application Scenarios
  • 5.4 Leapmotor
  • Evolutionary Trends of SOA & Middleware Layout
  • Status Quo of SOA & Middleware Layout
  • Software System of Latest LEAP 4.0
  • SOA
  • Vehicle OS
  • Chassis Software System: LMC 2.0 (Integrated Chassis Motion Fusion Control)
  • Full-Stack Independent R&D Capabilities
  • 5.5 Dongfeng Motor
  • Evolutionary Trends of SOA & Middleware Layout
  • Evolutionary Trends of Automotive Software Architecture with Cross-Domain Characteristics
  • Tianyuan Intelligence Project
  • Latest SOA: Tianyuan OS Architecture
  • Latest SOA: SOA Full-Service Architecture
  • Latest SOA: Full Service-Oriented Physical Execution Mechanism
  • Latest SOA: Full-Domain Convergence
  • Latest SOA: AI-Empowered Cross-Domain Collaborative Software Architecture
  • Latest SOA: EAI Space
  • Latest SOA: Tianyuan Safety Vehicle Control OS
  • Open Source Tianyuan OS Cross-Domain Middleware
  • Tianyuan OS Open Source Plan
  • Taichi Large Model
  • AI-Based Data Platform
  • 5.6 Xiaomi Auto
  • Evolutionary Trends of SOA & Middleware Layout
  • Status Quo of Latest SOA & Middleware Layout
  • SOA Technology
  • Structure of Vehicle Central Computing Platform Based on SOA (1)
  • Structure of Vehicle Central Computing Platform Based on SOA (2)
  • Vehicle Control SOA-Based Communication Methods
  • SOA Technology (1)
  • SOA Technology (2)
  • SOA Technology (3)
  • SOA Technology (4)
  • Structure of HyperOS (1)
  • Structure of HyperOS (2)
  • 5.7 SAIC
  • Evolutionary Trends of SOA & Middleware Layout
  • Status Quo of SOA & Middleware Layout
  • Evolutionary Trends of SOA
  • AI New SOA: System Layer + Basic Model + Agent Framework
  • Latest SOA: Middleware Framework of AI OS
  • Latest SOA: AI Application Layer Architecture
  • Latest SOA: AI Application Layer Development - Agent Framework
  • Latest Software Architecture System: AI Application Layer Development - Agent Application Ecosystem
  • Latest SOA: Autonomous Driving & Cockpit Foundation Models
  • Latest SOA: IM Ultra Agent (Full-Domain Fusion Super Agent)
  • AI Development, Testing, and Verification
  • AI Digital Agent
  • 5.8 GAC Group
  • Evolutionary Trends of SOA & Middleware Layout
  • Status Quo of SOA & Middleware Layout
  • SOA Service Capabilities of Latest X-Soul 4.0
  • Edge-Cloud Integration Architecture of Latest ADiGO Intelligence
  • SOA Software Platform of "X-Soul"
  • SOA Software Platform of "X-Soul": User Sharing and Co-creation Platform
  • 5.9 BYD
  • Evolutionary Trends of SOA & Middleware Layout
  • Status Quo of SOA & Middleware Layout
  • SOA-Based Automotive Operating System (1)
  • SOA-Based Automotive Operating System (2)
  • Underlying Operating System Architecture for Automotive Driving
  • 5.10 FAW
  • Evolutionary Trends of SOA & Middleware Layout
  • Status Quo of SOA & Middleware Layout
  • Evolutionary Trends of Software Architecture: AI-Driven and Cross-Domain Integration
  • Latest FAW.OS
  • Lingxi AI Cockpit Software System
  • Cockpit Software Architecture: AIDV System Deployment
  • Cockpit Software Architecture: AI Intelligent Cockpit Technology & Edge-Cloud Integration Technology Architecture
  • Advancement of HIS
  • 5.11 Chery
  • Evolutionary Trends of SOA & Middleware Layout
  • Status Quo of AI, SOA and Middleware Layout
  • AI 2.0 Strategy
  • "AI+SOA" Software Product: CHERY-AIOS
  • "AI+SOA" Software Product: Vehicle control operating system
  • AI Software Architecture: AI Foundation Model-Based Automotive Software Platform
  • Technical Architecture of Latest Lingxi Cockpit 3.0: AI Empowerment + Human-like Memory + Privacy Protection
  • Latest Flying Fish Digital-Intelligent Chassis System: AI-Driven
  • Latest Flying Fish Digital-Intelligent Chassis System: AI-Driven Core Chassis Framework
  • SOA-Based Intelligent Chassis: Intelligent Chassis OS
  • EEA 5.0 Based on Software Layered Design of SOA
  • Autonomous Driving Domain Controller SOA (1)
  • Autonomous Driving Domain Controller SOA (2)
  • SOA Design Cases
  • AI-Driven Automotive Development Transformation
  • 5.12 Great Wall Motor
  • Evolutionary Trends of SOA & Middleware Layout
  • Status Quo of SOA & Middleware Layout
  • Latest "AI+SOA" Software Product: Native AI Cockpit-Driving Agent
  • Latest "AI+SOA" Software Product: Automotive AIOS
  • SDV Architecture Development Platform: Platform Composition
  • SDV Architecture Development Platform: Architecture Design Platform
  • SDV Architecture Development Platform: SOA Development Platform (1)
  • SDV Architecture Development Platform: SOA Development Platform (2)
  • SDV Architecture Development Platform: SOA Development Platform Toolchain Products
  • SDV Architecture Development Platform: Big Data Platform (1)
  • SDV Architecture Development Platform: Big Data Platform (2)
  • SDV Toolchain Development Trends
  • AI-Driven R&D Transformation: "Ruying" Intelligent R&D Platform (1)
  • AI-Driven R&D Transformation: "Ruying" Intelligent R&D Platform (2)
  • 5.13 Changan Automobile
  • Evolutionary Trends of SOA & Middleware Layout
  • Status Quo of SOA & Middleware Layout
  • 1+N+X Mobility Ecosystem of SDA Intelligence
  • AIEV Full-Domain Fusion Brain of SDA Intelligence
  • SDA Based on SOA
  • Service-oriented Software Platform
  • SOA-Based Autonomous Driving System (1)
  • SOA-Based Autonomous Driving System (2)
  • Cockpit-driving Integration of SOA Services
  • Service-oriented Communication (SOMEIP&DDS) Design
  • Vehicle Control Software Development Practice Based on SOA
  • 5.14 Avatr
  • SOA
  • EEA: SOA
  • Architecture Development Shifts to SDV
  • Architecture Development Shifts to SDV
  • Four Laws of Architecture Revolution
  • Four Laws of Architecture Revolution
  • Architecture Revolution: Ultimate Form of SDV
  • 5.15 Geely
  • Evolutionary Trends of SOA & Middleware Layout
  • Status Quo of AI, SOA & Middleware layout
  • Full-Domain AI2.0
  • Full-Domain Agent Layout
  • Cockpit-Driving Integration Super Agent - Super EVA
  • Technical Architecture of AI Cockpit System
  • SOA Capabilities of AI Cockpit System
  • Full-Domain AI OS
  • Innovative AI Software R&D Tool: RoboTester Vehicle-Level Automated Testing System
  • 5.16 BAIC
  • Evolutionary Trends of SOA & Middleware Layout
  • Layout of SOA & Middleware and Other Related Software
  • Yuanjing AI Foundation Model Platform Architecture
  • SOA-Based Multi-Domain Integrated Software Architecture
  • Yuanjing AI Smart Cockpit
  • Cockpit-Driving Agent Platform Layout Planning
  • Self-Developed High-Performance Communication Middleware: BAIC DDS
  • AI-Based Software Development Revolution: AI Agent across the Entire Software Development Chain
  • 5.17 BMW
  • Next-Generation Software Architecture of Neue Klasse
  • SDV Architecture
  • SDV Development Model
  • SOA Solution Design in the Next-generation EEA
  • Zonal Controller Design in the Next-generation EEA
  • Vehicle Development Process Transformation:
  • Vehicle Development Process Transformation: Construction of Data-Driven Development Ecosystem
  • Vehicle Development Process Transformation: Digital Twins
  • Vehicle Development Process Transformation: AI Empowers Software Development
  • Vehicle Development Process Transformation: Deepening the AI-Driven DevOps Hub Strategy
  • iFACTORY
  • Vehicle Development Process Transformation: Self-developed Cloud Toolchain and CodeCraft Development Platform
  • Vehicle Development Process Transformation: JoyCode AI-Assisted Programming Tool
  • Software Development Revolution: AI Native Working Mode
  • 5.18 Mercedes-Benz
  • MB.OS
  • STAR3 Service-Oriented Communication Method (1)
  • STAR3 Service-Oriented Communication Method (2)
  • STAR3 Service-Oriented Communication Method (3)
  • AI-Driven Software Development Tool Revolution: Partnering with Cognition, Deploying Devin and Windsurf in Global Engineering Teams
  • 5.19 Volkswagen
  • Status Quo of SOA & Middleware and Related Software Layout
  • "Full-Domain AI Agent" Layout Roadmap: Automotive AI Agent Introduction
  • SDV Strategy
  • SDV Strategy: Local Layout in China
  • SDV Strategy: CEA Evolution
  • CEA-Based SDV Strategy: Advanced Technology Layout
  • Next-Generation Intelligent Cockpit Software System Layout: CART OS
  • Intelligent Driving System Solution Roadmap
  • 5.20 Volvo
  • Status Quo of SOA & Middleware and Related Software Layout
  • Latest Automotive Software Architecture: Superset Central Software Architecture
  • Latest Automotive Software Architecture: Superset's Key Advantages
  • Software System Introduces SOA (1)
  • Software System Introduces SOA (6)
  • Software System Introduces SOA (7)
  • Evolution of Vehicle Development System
  • Vehicle Development System: Closed-Loop Development Model
  • Vehicle Development System: Based on Agile Development Process
  • 5.21 Stellantis
  • STLA Brain: Quasi-central EEA and Software Architecture
  • SDV Strategic Goals
  • Software Development Layout: Virtual Engineering Workbench (VEW)
  • Software Development Layout: dSPACE Jointly Develops the XIL Platform on the VEW Platform
  • Software Development Layout: VEW's Key Partners
  • Latest Autonomous Driving Software Layout
  • 5-Year Strategic Partnership with Microsoft
  • 5.22 Toyota
  • SDV Strategy
  • Evolution of Arene Software Platform
  • Main Components of Arene
  • Deployment Strategy of Arene
  • Development Process: Continuous Integration/Continuous Delivery Deployment (CI/CD)

6 Chinese Automotive SOA Design and Middleware Suppliers

  • 6.1 Huawei
  • Evolution of SOA & Middleware and Other Automotive Software Layout (1)
  • Evolution of SOA & Middleware and Other Automotive Software Layout (2)
  • Layout of Harmony Intelligent Mobility Alliance (HIMA) in Automotive SOA & Middleware and Related New Software Products
  • Qiankun OS for Autonomous Vehicles
  • New Communication Protocol Bus: LingQu Bus
  • Latest HarmonySpace 6.0
  • Cockpit MoLA Architecture Officially Upgraded to Generation 2.0
  • Chassis Cross-Domain Integration: Qiankun XMC 3.0
  • Qiankun iDVP 2.0 Intelligent Digital Base Software Framework
  • iDVP Intelligent Digital Base Software Framework
  • iDVP Intelligent Digital Base Toolchain Products
  • iDVP Intelligent Digital Base Supply Model
  • Vehicle-level Basic SOA
  • SOA: Core Concept Service-oriented Layered Decoupling
  • Core Composition of SOA
  • 6.2 Neusoft Reach
  • Product Layout Related to Automotive SOA & Middleware (1)
  • Product Layout Related to Automotive SOA & Middleware (2)
  • New Automotive AI Software Development Tool Layout
  • Evolution of NeuSAR
  • NeuSAR OS for AIDV
  • Automotive Middleware: NeuSAR Service Famework Middleware
  • Automotive AI Middleware: NeuSAR AI Framework Middleware
  • AI Toolchain: NeuSAR SpeedLET (AI Development Efficiency Improvement Tool)
  • NeuSAR AI Toolchain (1)
  • NeuSAR AI Toolchain (2)
  • NeuSAR AI Toolchain (3)
  • NeuSAR OS Helps AI Land on Vehicles
  • Middleware: End-to-End Foundation Models and Dedicated Standard Middleware for Foundation Models
  • SOA-Related Product: Vehicle-Cloud Integrated OS Architecture
  • DeepEvolution Big Data Platform
  • Agentic AI Platform Solution
  • 6.3 Jingwei Hirain Technologies
  • Evolution of SOA & Middleware and Other Automotive Software Layout
  • Product Layout Related to Automotive SOA & Middleware
  • Vehicle-Level Operating System: HIRAIN OS
  • Structure of HIRAIN OS: SOVD Solution (1)
  • Structure of HIRAIN OS: SOVD Solution (2)
  • Structure of HIRAIN OS: SOVD Solution (3)
  • Lightweight Real-Time Operating System: HIRAIN OS.Lite
  • Vehicle SOA Technology Layout
  • SOA Solution
  • SOA Practice Based on AUTOSAR Technology
  • Autonomous Vehicle Architecture Based on SOA
  • MCAL Products
  • AUTOSAR DDS
  • Lightweight Communication Protocol: RCP
  • Latest EEA Development Services
  • "AI + R&D Service" Solutions
  • 6.4 Thundersoft
  • Evolution of SOA & Middleware and Other Automotive Software Layout
  • New Product Layout Related to Automotive SOA & Middleware
  • AI Native Automotive Operating System: Aqua Drive OS 2.1
  • Automotive Multi-Agent AI Product: AquaClaw
  • Vehicle Operating System: Aqua Drive OS 2.0 Pre
  • Ecosystem Cooperation of AquaDrive OS
  • Cockpit-driving integration Design of AquaDrive OS
  • Cross-domain Integration Promotes the Evolution of Automotive Operating System
  • SDV Business Layout
  • Main Software Tools and Services of SDV Business
  • SOA Middleware
  • 6.5 E-Planet Technologies (EPT)
  • Evolution of SOA & Middleware and Other Automotive Software Layout
  • SOA Performance and Stability Automated Testing System
  • SOA End-to-end Engineering Model
  • SOA End-to-end Engineering Model Service Type
  • SOA Design and Communication Solution
  • SOA Software Solution
  • Vehicle Control and Vehicle Equipment Middleware Solution
  • SOME/IP Protocol Stack
  • 6.6 UAES
  • Evolution of SOA & Middleware and Other Automotive Software Layout
  • New Product Layout Related to Automotive SOA & Middleware
  • New Automotive Software Development Toolchain Products
  • Driving-Control Integrated Computing Platform: Vehicle SOA Servitization
  • Driving-Control Integrated Computing Platform: Hardware Solution
  • Vehicle-cloud Integrated Centralized Architecture Solution
  • Automotive DDS Solution
  • Evolution of USP
  • One-Stop SOA Software Development Solution: Latest Version - Open USP Software Development Platform
  • USP 2.0
  • USP Cores
  • USP Tools
  • SOA Development Kit Based on MATLAB/Simulink (1)
  • SOA Development Kit Based on MATLAB/Simulink (2)
  • USP Developer Verification Bench
  • New Automotive Software Development Toolchain Products: Application Layer Software Development Agents
  • New Automotive Software Development Toolchain Products: AI-Based DFMEA Processes and Tools
  • 6.7 ArcherMind Technology
  • Evolution of SOA & Middleware and Other Automotive Software Layout
  • Edge AI Operating System for Smart Devices: Yinghuo AIOS
  • Vehicle Operating System: FusionOS 4.0
  • FusionWise Middleware
  • SOA Framework Products
  • AUTOSAR Product
  • FusionStudio Toolchain
  • 6.8 Kotei
  • Evolution of SOA & Middleware and Other Automotive Software Layout
  • New Product Layout Related to Automotive SOA & Middleware
  • New Automotive Software Development Toolchain Products
  • XCU Cross-Domain Integration Full-Domain Solution
  • Automotive SOA Related Software Products: Next-Generation Vehicle Operating System - A2OS
  • Automotive SOA Related Software Products: Distributed Communication Middleware
  • Automotive SOA Related Software Products: SOME/IP Platform Integration Solution
  • Automotive SOA Related Software Products: DDS Technology Solution
  • Automotive SOA Related Software Products: DDS Technology Application Cases
  • Software Development Platforms and Tools: SDW3.0
  • Software Development Platforms and Tools: SDW2.8
  • Software Development Platforms and Tools: AI Intelligent Testing Solution
  • Software Development Platforms and Tools: Self-developed Agent Technology Platform
  • Software Development Platforms and Tools: AUTOSAR Expert Agent
  • Software Development Platforms and Tools: SOA-Based MCU Software Virtual ECU Technology
  • 6.9 Megatronix
  • Evolution of SOA & Middleware and Other Automotive Software Layout
  • New SOA & Middleware Related Software Products: All-Scenario Cockpit Agent -MegaClaw
  • New SOA & Middleware Related Software Products: Vehicle Distributed Intelligent Operating System
  • New Software Development Tools:
  • Business Model

7 Foreign Automotive SOA Design and Middleware Suppliers

  • 7.1 Bosch ETAS
  • Evolution of SOA & Middleware and Other Automotive Software Layout
  • Latest Layout of Automotive SOA & Middleware and Related Software Products
  • Latest Software Toolchain Products
  • Ethernet Switch Software Solution
  • Release of HPC SOC Multi-Domain Middleware Solution
  • End-to-end Vehicle Solution
  • End-to-end Vehicle OS Solution
  • ETAS Deterministic Middleware Solution (EDMS)
  • Bosch's Software Development Cooperation Model with OEMs
  • 7.2 Elektrobit
  • Evolution of SOA & Middleware and Other Automotive Software Layout
  • Latest Layout of Automotive SOA & Middleware and Related Software Products (1)
  • Latest Layout of Automotive SOA & Middleware and Related Software Products (2)
  • Latest Automotive Software Toolchain Product Layout
  • Automotive Basic Software Products
  • Joint Development of EV.OS AI-Centric Software Platform with Foxconn Technology
  • New Toolchain Products: AI-Driven Automation and Replicable AUTOSAR Toolchain
  • New Toolchain Products: Virtual Cockpit Development Platform - EB civion
  • New Toolchain Products: Cloud-Native Virtual Development Platform - EB civion Creator
  • 7.3 Vector
  • Latest Layout of Automotive SOA & Middleware and Related Software Products
  • Full-Stack Software Platform for SDV
  • Release of "Alloy Kore" Vehicle Software Platform with QNX
  • APP Cross-domain Fusion Deployment Tools
  • Cross-domain Fusion Third-party Communication Middleware Fusion Solution
  • System Routing Application Case
  • PREEvision-based SOA Vehicle Communication Design Solution
  • Toolchain Product: New Version of Preevision 26.0
  • SOA Design Based on PREEvision
  • 7.4 Aptiv
  • Evolution of SOA & Middleware and Other Automotive Software Layout
  • New Product Layout of Automotive SOA & Middleware and Related Software
  • New LINC(TM) Software Platform
  • Cloud Native Middleware and Development Products
  • Middleware Composition
  • Evolution of Autonomous Driving System Architecture Layout (1)
  • Evolution of Autonomous Driving System Architecture Layout (2)
  • Intelligent Driving System Software Middleware
  • Trends of Scalable and Modular Intelligent Driving System Software
  • Sixth-generation ADAS Platform Architecture
  • ZCU Software Architecture Based on SOA
  • New Dynamics in Wind River Software Toolchain:
  • 7.5 TTTech AUTO
  • Evolution of SOA & Middleware and Other Automotive Software Layout
  • Summary of the Latest Product Layout of Automotive SOA & Middleware and Related Software
  • New SOA & Middleware
  • Motionwise Middleware Function Comparison
  • SOA Software Solution: MotionWise SOA
  • MotionWise Schedule
  • Main Components of MotionWise Schedule
  • Development Process of MotionWise Schedule
  • AUTO Software Toolchain Product: MotionWise Schedule Experience Kit
  • Zetta Auto
  • Technology Framework of Zetta Auto
  • Solution Framework of Zetta Auto
  • 7.6 KPIT
  • Summary of the Latest Product Layout of Automotive SOA & Middleware and Related Software
  • Middleware Business Layout
  • AUTOSAR Middleware Business Layout
  • Mobility Agentic AI Automotive Software Solution
  • New Software Development Tool: EEA Design Agent
  • EEA Platform Development and Verification Cases
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