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2039282

汽車產業服務導向的架構（SOA）與跨域中介軟體市場（2026 年）

Automotive Service-Oriented Architecture (SOA) and Cross-Domain Middleware Industry Report, 2026
出版日期: | 出版商: ResearchInChina | 英文 580 Pages | 商品交期: 最快1-2個工作天內

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簡介目錄

面向汽車產業的 SOA 和跨域中間件研究——人工智慧原子服務和人工智慧跨域融合代理的時代即將到來。

  • 汽車產業的SOA正在向人工智慧和完全SOA服務化。

在人工智慧和其他智慧技術進步的推動下，汽車軟體技術整體正逐步從軟體定義車輛（SDV）轉型為人工智慧定義車輛（AI定義車輛）。這體現在歐洲經濟區（EEA）向集中式原生AI架構的轉變、軟體架構（SOA）與原生AI技術的日益普及，以及技術迭代周期從5-7年縮短至每隔幾天進行一次模型迭代。

基於 SOA 的 AI 原子服務將完整的 SOA 功能分解為更小的組件，為 AI 代理提供更大的調度柔軟性和場景適應性，使車輛能夠擁有真正的智慧能力——「理解需求、預測需求和滿足需求」的能力。

2025年底，上汽集團發布了「全端4.0 AI EEA」架構，以人工智慧為核心重建其汽車架構。該架構提案了「SOA + A2A/MCP框架 + 智慧體」的三元生態系統，建構了基於智慧體的AI協同智慧新範式。其中，以智慧體為基礎的AI作為智慧體引擎，包含多個專業智慧體，分別服務於音樂娛樂、日程管理、能源加油服務、智慧車輛控制和智慧駕駛輔助等領域。透過世界建模、意圖理解、規劃與執行等核心模組，此架構可在各種場景下提供智慧服務。該架構計劃於2027年投入量產。

2026年4月，廣汽集團正式發布了其最新一代智慧架構「X-Soul 4.0」，實現了全局的全面融合。基於此架構，廣汽集團創造了3600個功能原子，幾乎是上一代的兩倍。每個功能原子代表一項基本功能，使用者可以像建造積木一樣，自由組合車輛專屬場景。目前，廣汽車主已基於該系統創建了超過10萬個自訂場景，使車輛成為真正獨一無二的出行夥伴。未來，廣汽集團也將推出能夠主動適應用戶習慣的AI場景代理商。

2026年4月，上汽榮威與火山引擎聯合發布了AI原生技術架構「CPP」。該架構可創建超過2000個SOA級服務介面，使車輛能夠實現軟硬體資訊的原子級分解和精準調度。透過「情境規劃像素」的封閉回路型設計，該架構實現了AI與車輛硬體的深度融合，形成完整的「感知、決策、執行」鏈，使AI不僅能夠感知和決策，還能直接控制車輛功能。這構成了榮威AI原生車系「嘉悅」的技術基礎。

一種全新的跨域融合中間件概念—利用基於人工智慧的模型和超級代理賦能整車。

  • 2026年，智慧汽車跨域融合的趨勢正在快速發展。整車廠商和供應商持續探索跨域/多域整合，例如駕駛座與駕駛系統的整合。除了積極採用跨域通訊中間件外，隨著人工智慧在汽車領域日益深入的融合，基於人工智慧模型和代理的跨域融合技術的發展也成為新的焦點。

在人工智慧模型的驅動下，人工智慧代理能夠利用自主感知、決策和協作能力以及持續進化能力，打破汽車產業中不同領域和環節之間傳統的技術障礙。這些代理程式在內部連接自動駕駛、駕駛座和車輛控制等多領域技術模組，實現跨領域資料流和功能整合。在外部，它們連接車輛、道路和雲端生態系統、使用者需求和供應鏈資源，形成「需求-開發-實施-回饋」的封閉回路型。

2026年，汽車製造商正積極部署諸如「IM Ultra Agent」和「吉利超級伊娃」等跨領域融合人工智慧代理產品。這些代理商正逐步重新定義車輛的核心價值，使其從單純的交通工具轉變為能夠理解、思考和行動的「超級智慧夥伴」，從而推動智慧出行邁入新時代。供應商也積極探索基於人工智慧模型和代理的跨領域融合產品的應用。

2026年4月，華為正式發布了鴻蒙空間6。同時，小義智慧助理的核心MoLA架構也升級至2.0版本，使其成為一款完全場景感知、跨域的互動式駕駛座智慧助理。新版小義智慧助理不僅提升了駕駛座內體驗，還透過結合ADS技術，支援模糊相對搜尋和模糊特徵搜尋，從而增強了易用性。此外，小義智慧助理也支援接取第三方智慧助手，實現訂餐、點咖啡、播放播客等功能。

2026年4月，地平線機器人正式發布了KaKaClaw，這是一款實現了「任務即服務」（Task-as-a-Service）智慧互動模式的車輛代理作業系統。使用者只需使用自然語言指令，即可同時並行地調度智慧駕駛和智慧駕駛座。實體代理、數位代理和邊緣雲端基礎架構模型能夠同步回應，自動規劃並執行跨域操作流程。透過融合HSD（實體AI駕駛能力）和KaKaClaw（數位AI對話能力），地平線機器人實現了物理世界的駕駛和數位世界的對話在量產層面的全面融合，賦予車輛「駕駛、對話、行動、成長」的全能代理能力。

汽車軟體工具正向人工智慧原生工具流程演進，重塑軟體開發的新典範。

隨著汽車智慧化進程的加速，傳統的軟體開發模式面臨人機協作效率低、交付週期過長等挑戰。在人工智慧（AI）智慧體快速發展的推動下，自動駕駛汽車的軟體開發工具正從傳統的模組化架構轉變為AI智慧體主導的典範。在這轉變過程中，AI不再只是簡化特定流程的工具，而是貫穿整個生命週期（從需求定義、設計、開發、測試、評審、部署、維運到維護）的驅動力。同時，協作模式也正從「人+工具」逐步演進為「人+智慧體組」的AI原生工具流模式。近年來，整車廠商（OEM）和供應商也積極探索AI主導的軟體開發流程的新變革。

2026年4月，梅賽德斯-奔馳與Cognition公司達成策略夥伴關係，在其全球工程團隊中部署Devin和Windsurf。這標誌著人工智慧軟體工程在汽車產業的首次大規模部署。 Windsurf是一款由人工智慧驅動的整合開發環境（IDE），將協助團隊建構雲端原生應用、微服務以及現代化的Web和行動解決方案。而Devin則作為一款基於雲端的自主非同步工作代理。 Devin終端版能夠處理最具挑戰性的工程任務，並提供命令列層級的自主執行功能。

2026年4月，KOTEI正式發表了以AI原生時代的汽車軟體開發平台「SDW AIKO」。該平台融合了深度人機協作和開發流程重構，以AI智慧體驅動整個汽車軟體工程生命週期。從專案推出到持續最佳化，SDW AIKO使AI能夠像協作團隊一樣參與分析、規劃和執行，不斷累積經驗並自主進化。最終，AI透過應用變得更加智慧，真正從輔助工具升級為開發夥伴。

目錄

第1章：面向汽車應用的服務導向架構 (SOA) 的現狀以及跨域中間件的佈局和開發

  • 汽車SOA的定義
  • 汽車SOA的定義
  • 汽車SOA的關鍵特性與技術特徵
  • 汽車SOA的關鍵組成部分
  • 汽車SOA的關鍵功能模組
  • SOA開發對汽車產業的關鍵優勢
  • 汽車應用中SOA和訊號導向架構的區別
  • SOA架構與訊號導向架構的比較（1）
  • SOA架構與訊號導向架構的比較（2）
  • SOA架構與訊號導向架構的設計差異（1）
  • SOA架構與訊號導向架構的設計差異（2）
  • SOA 與訊號導向駕駛座軟體架構
  • SOA架構與訊號導向架構的差異範例。
  • 主要OEM廠商最新SOA和中間件配置概述
  • 2026 年 OEM SOA 與中介軟體佈局的新特性
  • SOA、中介軟體配置和主要OEM廠商供應鏈之間的關係（1）：
  • SOA、中介軟體配置與主要OEM廠商供應鏈之間的關係（2）：
  • SOA、中介軟體配置與主要OEM廠商供應鏈之間的關係（3）：
  • SOA、中介軟體配置與主要OEM廠商供應鏈之間的關係（4）：
  • SOA、中介軟體配置和主要OEM廠商供應鏈之間的關係（14）：
  • SOA與中介軟體配置及主要OEM廠商供應鏈的關係（15）：
  • 主要供應商最新SOA和中間件配置概述
  • 2026 年供應商 SOA 與中介軟體佈局的新特性
  • SOA與中介軟體佈局及主要供應商供應鏈的關係（1）：
  • SOA和中介軟體配置，以及主要供應商供應鏈之間的關係（2）：
  • SOA和中介軟體佈局，以及主要供應商與其供應鏈之間的關係（3）：
  • SOA與中介軟體佈局及主要供應商供應鏈的關係（10）：
  • SOA和中介軟體佈局以及與主要供應商供應鏈的關係（11）：

第2章：汽車產業服務導向的架構和跨域中介軟體應用範例

  • 基於SOA設計的多域融合與中央運算平台的應用場景
  • UAES面向駕駛控制的車輛SOA服務整合運算平台：軟體架構
  • UAES面向駕駛控制的車輛SOA服務整合運算平台：硬體解決方案
  • 蔚來汽車的跨域融合SOA軟體（1）
  • 蔚來汽車的跨域融合SOA軟體（2）
  • 基於SOA的汽車異質中央運算平台軟體設計方案（1）
  • 基於SOA的汽車異質中央運算平台軟體設計方案（2）
  • 基於SOA的汽車異質中央運算平台軟體設計方案（3）
  • JOYNEXT 中央運算平台的軟體架構設計（基於 SOA）。
  • NESINEXT 的 SOA 賦能的 CoreFusion駕駛座驅動整合軟體開放平台 (1)
  • NESINEXT 的 SOA 賦能的 CoreFusion 開放式駕駛座駕駛整合軟體平台 (2)
  • Ecarx 的基於 SOA 的跨域軟體平台（適用於中央運算平台）
  • 基於SOA設計的自動駕駛場景
  • 基於KPIT的ADAS設計流程
  • 華為面向AI+SOA相容自動駕駛車輛的干坤操作系統
  • HoloMatic Technology符合SOA標準的基本自動駕駛軟體
  • STEP的符合SOA標準的自動駕駛操作系統
  • Freetech基於SOA的自動駕駛作業系統
  • Technomous 的基於 SOA 的自動駕駛中間件
  • 半馬AliOS Drive採用了SOA跨域概念。
  • 中興通訊基於SOA的自動駕駛系統解決方案
  • Kernelsoft面對自動駕駛汽車的SOA中間件（1）
  • Kernelsoft面對自動駕駛汽車的SOA中間件（2）
  • 基於SOA的智慧駕駛系統解決方案
  • 以SOA為基礎的智慧駕駛座場景
  • 基於代理的智慧駕駛座應用層開發的典範轉移（1）：
  • 轉變基於代理的智慧駕駛座應用層的開發範式（2）：
  • 人工智慧、以服務為導向的架構和其他軟體架構驅動的人工智慧代理開發模型轉型
  • 蔚來汽車基於SOA的駕駛座軟體架構
  • 基於SOA的汽車地圖應用
  • 基於SOA的駕駛座軟體架構中的車輛控制功能
  • 基於SOA的智慧車輛控制場景
  • 蔚來基於SkyOS的原子服務智慧車輛控制軟體平台
  • 蔚來智慧車輛控制軟體平台的SOA功能：智慧車輛控制中介軟體
  • IAT 的 Domain-Fusion XCU 是基於 SOA 的軟體系統
  • 比亞迪基於SOA的DiSus控制系統軟體系統
  • UAES基於SOA的車輛運動域控制器（XCU）
  • UAES基於SOA的XCU軟體服務
  • Atech 的 VIU 支持 SOA 設計。
  • Atech基於SOA的車身控制功能：輪胎壓力模組SOA服務流程
  • Atech基於SOA的身體控制功能：裝置抽象API設計
  • ZF車輛運動控制軟體系統（1）
  • ZF車輛運動控制軟體系統（2）
  • ZF車輛運動控制軟體系統（3）
  • 基於沃爾沃SOA的VIU
  • 長安汽車基於SOA的車輛控制軟體開發案例研究。
  • Steelmate SOA 車身控制器
  • Aptiv 基於 SOA 的 ZCU
  • 東軟瑞馳基於SOA的通用網域控制器
  • 其他基於SOA設計的場景
  • 吉利Zeekr基於SOA的OTA解決方案
  • ABUP面向服務的OTA解決方案
  • 基於SOA的車載功能安全開發（1）
  • 基於SOA的車載功能安全開發（2）
  • SOA通訊流
  • 汽車產業SOA開發與設計流程範例
  • OEM SOA實施的主要步驟
  • 汽車製造商在汽車領域實施SOA所需的關鍵特性
  • 汽車產業的SOA開發方法
  • 基於CP AUTOSAR的SOA開發和工具鏈
  • 基於AP AUTOSAR的SOA開發和工具鏈
  • 汽車服務型功能開發流程
  • 汽車服務型功能開發流程
  • 基於模型的SOA開發方法
  • 面向汽車應用的基於SOA的安全設計
  • UAES的SOA軟體開發解決方案
  • UAES 汽車 SOA 軟體實施流程
  • UAES 基於 MATLAB/Simulink 高效建置 SOA 服務基礎設施。
  • E-Planet Technologies 的完整 SOA 設計流程
  • E-Planet Technologies 的 SOA 設計流程
  • Atech網域控制器軟體汽車SOA開發流程
  • Atech 的汽車 SOA 開發流程 - 工具鏈
  • Kernelsoft 的 Photon Automotive SOA 開發流程
  • Kernelsoft 的 Photon SOA 軟體開發工具鏈

第3章：汽車SOA與跨域中介軟體的發展與演進趨勢

  • 趨勢 1：汽車 SOA 正在從部分基於服務的架構向完全基於領域的服務架構演進。
  • 汽車基礎設施軟體（例如人工智慧/中央運算平台）的關鍵發展特徵：向全局車輛SOA演進
  • 汽車OEM廠商的SOA原子功能與標準API發布進度（1）
  • 汽車OEM廠商的SOA原子功能與標準API發布進度（2）
  • 汽車OEM廠商的SOA原子功能與標準API發布進度（3）
  • 趨勢 2：人工智慧主導的汽車SOA從原子化朝向人工智慧服務演進
  • 汽車人工智慧和軟體發展趨勢：
  • 汽車領域SOA軟體技術的演進（SOA 1.0-2.0-3.0）
  • 汽車人工智慧+SOA的演進趨勢：
  • 汽車AIOS的智慧演進
  • 人工智慧與車輛軟體整合的發展
  • 汽車領域SOA軟體開發趨勢：汽車AIOS的整體架構
  • 汽車SOA軟體開發趨勢：AIOS架構分層在汽車應用的解釋與定義
  • SOA從SDV到AIDV的演變
  • 從服務導向的架構 (SOA) 到人工智慧驅動的原子函數演化範例 (1)
  • 從服務導向的架構 (SOA) 到人工智慧驅動的原子函數演化範例 (2)
  • 趨勢 3：
  • 愛滋病毒的演變趨勢：
  • 主要OEM廠商的AIOS配置（1）：
  • 主要OEM廠商的AIOS配置（2）：
  • 主要OEM廠商AIOS佈局範例（1）
  • 主要OEM廠商AIOS佈局範例（2）
  • 主要人工智慧中間件供應商佈局（1）
  • 主要人工智慧中間件供應商佈局（2）
  • 主要人工智慧中間件供應商佈局（3）
  • 汽車人工智慧代理框架範例：
  • 趨勢 4：人工智慧超級代理正在車輛中安裝，以增強全局整合佈局。
  • 在人工智慧模型與智慧體結合的趨勢下，人工智慧超級智慧體將增強駕駛座駕駛整合和多領域融合。
  • 2026 年 OEM 中跨領域整合 AI 超級代理的部署 (1)
  • 2026 年 OEM 中跨領域整合 AI 超級代理的部署 (2)
  • 2026年主要供應商跨領域整合人工智慧超級代理部署
  • AI 超級代理增強跨領域整合範例（1）：
  • AI 超級代理增強跨領域整合範例（2）：
  • AI 超級代理增強跨領域整合範例（3）：
  • AI 超級代理增強跨領域整合範例（4）：
  • 趨勢 5：整合通訊中介軟體作為跨域整合載體
  • 跨領域整合和整合架構的趨勢將推動車輛整合中間件等產品的發布。
  • 跨域通訊中間件佈局：OEM
  • 主要供應商提供的最新SOA和跨域中間件配置（1）：
  • 主要供應商提供的最新SOA和跨域中間件配置（2）：
  • 主要供應商提供的最新SOA和跨域中間件配置（5）：
  • 基於SOA的跨域整合中間件範例（1）
  • 基於SOA的跨域整合中間件範例（2）
  • 基於SOA的跨域整合中間件範例（6）

第4章：人工智慧主導的汽車軟體開發工具轉型趨勢

  • 人工智慧主導的汽車軟體開發工具轉型
  • 人工智慧主導的軟體開發工具變革（1）
  • 人工智慧主導的軟體開發工具轉型（2）
  • 人工智慧主導的軟體開發工具轉型（3）
  • 人工智慧主導的軟體開發工具轉型（4）
  • 主要汽車製造商採用人工智慧驅動的汽車軟體開發工具的現狀（1）
  • 主要汽車製造商採用人工智慧驅動的汽車軟體開發工具的現狀（2）
  • 由主要供應商推出的新型人工智慧驅動汽車軟體開發工具（1）：人工智慧驅動的軟體開發與設計工具
  • 主要供應商推出的利用人工智慧的新型汽車軟體開發工具（2）：人工智慧驅動的測試與檢驗工具
  • 由主要供應商推出的新型人工智慧驅動型汽車軟體開發工具（3）：人工智慧驅動型軟體工具或開發平台
  • 主要供應商推出的全新人工智慧驅動型汽車軟體開發工具（4）：AI AUTOSAR產品系列
  • 由主要供應商推出的新型人工智慧驅動型汽車軟體開發工具（5）：雲端原生虛擬化工具
  • 利用人工智慧改造汽車軟體開發工具的案例研究
  • 變革汽車軟體開發工作流程：
  • 利用人工智慧變革和發展汽車軟體開發流程。
  • 變革主要汽車製造商的AI驅動型自動駕駛汽車軟體開發
  • 利用人工智慧的變革性軟體開發工具案例研究：
  • 包含人工智慧的工作流程範例：
  • AI原生工作流程範例

第5章：服務導向的架構和中介軟體在主要原始設備製造商的應用

  • XPeng
  • SOA和中介軟體配置的演進趨勢
  • SOA 和中介軟體配置的目前狀態
  • 車輛端對端確定性作業系統
  • SOA 通訊中介軟體
  • 車輛雲端整合 SOA 中間件平台
  • SOA硬體共用案例研究
  • SOA 和 SaaS
  • SOA應用軟體開發
  • 左/右 ZCU SOA 演化
  • 左/右 ZCU SOA
  • NIO
  • SOA和中介軟體配置的演進趨勢
  • SOA 和中介軟體配置的目前狀態
  • 全局車輛人工智慧作業系統—SkyOS：基於SOA的1+4+N技術集群
  • 全局車輛人工智慧作業系統 - SkyOS：人工智慧模型引擎 - 框架
  • 全局車輛人工智慧作業系統 - SkyOS：人工智慧模型引擎 - 組件
  • 全域車輛人工智慧作業系統 - SkyOS：人工智慧增強型 SkyOS 中介軟體
  • SkyOS－全域車輛人工智慧作業系統：專有的SOA框架
  • 全局車輛人工智慧作業系統—SkyOS：跨域通訊協定TOX
  • 智慧車輛控制軟體平台的SOA功能：基於SkyOS的智慧車輛控制軟體平台
  • 智慧車輛控制軟體平台的SOA功能：智慧車輛控制軟體的核心架構
  • 智慧車輛控制軟體平台的SOA功能：智慧車輛控制中介軟體
  • 智慧車輛控制軟體平台的SOA能力：平台化與隔離
  • 智慧底盤系統的SOA功能：SkyRide VMC（車輛運動管理系統）
  • 駕駛座系統的SOA功能：SkyOS-C架構
  • 駕駛座系統的SOA功能：SkyOS-C的原子框架
  • 軟體開發工具鏈
  • Li Auto
  • SOA和中介軟體配置的演進趨勢
  • SOA 和中介軟體配置的目前狀態
  • SOA 與基礎軟體：HaloOS（車輛作業系統）- 架構
  • SOA 與基礎軟體：HaloOS（車輛作業系統）- 關鍵組件
  • 基礎軟體：HaloOS 整體架構
  • SOA 與基礎軟體：HaloOS（車輛作業系統）- 主要特性
  • SOA 與基礎軟體：HaloOS（車載作業系統）－主要優勢
  • SOA 通訊中間件：VBS 通訊中介軟體
  • 自動駕駛軟體平台的SOA功能：自動駕駛作業系統
  • 自動駕駛軟體平台的SOA功能：智慧型車輛控制作業系統
  • SOA 應用中間件：HaloOS -開放原始碼項目
  • 智慧駕駛座代理：「智慧座艙」中的兩種代理類型
  • 軟體開發工具轉型：程式碼平台化與開發自動化
  • 人工智慧主導的軟體開發轉型：人工智慧評論
  • 利用人工智慧變革軟體開發：車輛和雲端整合監控與作業系統
  • 軟體開發工具轉型：成果
  • 利用人工智慧變革軟體開發：HaloOS 模擬器
  • 軟體開發工具轉型：HaloOS 模擬器 - 應用場景
  • 躍進馬達
  • SOA和中介軟體配置的演進趨勢
  • SOA 和中介軟體配置的目前狀態
  • 最新版本的LEAP 4.0軟體系統
  • SOA
  • 車輛作業系統
  • 底盤軟體系統：LMC 2.0（整合式底盤運動整合控制）
  • 全端式獨立研發能力
  • 東風汽車
  • SOA和中介軟體配置的演進趨勢
  • 具有跨領域特徵的汽車軟體架構的演化趨勢
  • 天元資訊項目
  • 最新SOA架構：天元作業系統架構
  • 最新的SOA：全方位服務架構
  • 最新的SOA：一個完整的服務導向的實體執行機制
  • 最新的SOA：全局融合
  • 最新的SOA：AI驅動的跨領域協作軟體架構
  • 最新SOA：EAI空間
  • 最新SOA：天源安全車輛控制作業系統
  • 開放原始碼天元作業系統跨域中間件
  • 天元OS開放原始碼項目
  • 大型太極模型
  • 基於人工智慧的數據平台
  • Xiaomi Auto
  • SOA和中介軟體配置的演進趨勢
  • 最新SOA和中間件佈局的現狀
  • SOA技術
  • 基於SOA的車輛中央運算平台結構
  • 基於SOA的車輛控制通訊方法
  • SOA技術
  • HyperOS結構
  • SAIC
  • SOA和中介軟體配置的演進趨勢
  • SOA 和中介軟體配置的目前狀態
  • SOA的演化趨勢
  • 新型AI驅動的SOA：系統層+基礎模型+代理框架
  • 最新的SOA：AI作業系統的中間件框架
  • 最新的SOA：AI應用層架構
  • 最新SOA：AI應用層開發 - 代理框架
  • 最新軟體架構系統：AI應用層開發 - 代理應用生態系統
  • 最新SOA：自動駕駛和駕駛座基礎模型
  • 最新SOA：IM Ultra Agent（全局融合超級代理）
  • 人工智慧開發、測試和檢驗
  • 人工智慧數位代理
  • 廣汽集團
  • SOA和中介軟體配置的演進趨勢
  • SOA 和中介軟體配置的目前狀態
  • X-Soul 4.0 最新版本中的 SOA 服務特性
  • 最新 ADiGO 智慧邊緣雲端整合架構
  • X-Soul的SOA軟體平台
  • X-Soul 的 SOA 軟體平台：一個使用者共用和共同創作平台
  • BYD
  • SOA和中介軟體配置的演進趨勢
  • SOA 和中介軟體配置的目前狀態
  • 基於SOA的車載作業系統（1）
  • 基於SOA的車載作業系統（2）
  • 構成汽車駕駛基礎的系統結構
  • FAW
  • SOA和中介軟體配置的演進趨勢
  • SOA 和中介軟體配置的目前狀態
  • 軟體架構的演進趨勢：人工智慧主導和跨領域整合
  • 最新版 FAW.OS
  • 凌曦人工智慧駕駛座軟體系統
  • 駕駛座軟體架構：AIDV系統簡介
  • 駕駛座軟體架構：人工智慧智慧駕駛座技術與邊緣雲端整合技術架構
  • HIS 的進展
  • 櫻桃
  • SOA和中介軟體配置的演進趨勢
  • AI、SOA 和中介軟體配置的目前狀態
  • 人工智慧2.0策略
  • 「AI+SOA」軟體產品：奇瑞AIOS
  • 「AI+SOA」軟體產品：車輛控制作業系統
  • 人工智慧軟體架構：基於人工智慧模型的汽車軟體平台
  • 最新靈曦座艙3.0技術架構：人工智慧專屬增強功能 + 類人記憶 + 隱私保護
  • 飛魚最新數位智慧底盤系統：人工智慧驅動
  • 飛魚最新數位智慧底盤系統：AI驅動的核心底盤框架
  • 以SOA為基礎的智慧型底盤：智慧型底盤作業系統
  • EEA 5.0 基於 SOA 軟體層設計。
  • 自動駕駛網域控制器 SOA（1）
  • 自動駕駛網域控制站 SOA（2）
  • SOA設計範例
  • 利用人工智慧變革汽車開發
  • 長城汽車
  • SOA和中介軟體配置的演進趨勢
  • SOA 和中介軟體配置的目前狀態
  • 最新「AI+SOA」軟體產品：原生AI駕駛座駕駛代理
  • 最新「AI+SOA」軟體產品：汽車AIOS
  • SDV架構開發平台：平台配置
  • SDV架構開發平台：架構設計平台
  • SDV架構開發平台：SOA開發平台（1）
  • SDV架構開發平台：SOA開發平台（2）
  • SDV架構開發平台：SOA開發平台工具鏈產品
  • SDV架構開發平台：巨量資料平台
  • SDV工具鏈發展趨勢
  • 人工智慧主導的研發轉型：「如影」智慧研發平台
  • Xiaomi Auto
  • SOA和中介軟體配置的演進趨勢
  • SOA 和中介軟體配置的目前狀態
  • SDA Intelligence 的 1+N+X 行動生態系統
  • AIEV 全局融合大腦（SDA 智慧）
  • SDA 基於 SOA
  • 服務導向的軟體平台
  • 基於SOA的自動駕駛系統（1）
  • 基於SOA的自動駕駛系統（2）
  • 駕駛座驅動SOA服務的整合
  • 面向服務的通訊（SOMEIP 和 DDS）設計
  • 基於SOA的車輛控制軟體開發的實際應用
  • 阿凡達
  • SOA
  • EEA：SOA
  • 架構開發將轉向軟體定義虛擬（SDV）。
  • 架構開發將轉向軟體定義虛擬（SDV）。
  • 建築革命的四大定律
  • 建築革命的四大定律
  • 建築革命：SDV的終極形式
  • 吉利
  • SOA和中介軟體配置的演進趨勢
  • AI、SOA 和中介軟體佈局的現狀
  • 全局人工智慧 2.0
  • 完整網域代理佈局
  • 駕駛座駕駛整合超級代理 - 超級EVA
  • 人工智慧駕駛座系統的技術架構
  • AI駕駛座系統的SOA功能
  • 全局人工智慧作業系統
  • 創新人工智慧軟體研發工具：車輛級自動化測試系統「RoboTester」
  • BAIC
  • SOA和中介軟體配置的演進趨勢
  • SOA、中介軟體及其他相關軟體的佈局
  • 元京人工智慧基金會模型平台架構
  • 基於SOA的多域整合軟體架構
  • 遠景AI智慧駕駛座
  • 駕駛座駕駛員代理平台佈局圖
  • 專有高效能通訊中間件：BAIC DDS
  • 基於人工智慧的軟體開發革命：人工智慧代理貫穿整個軟體開發鏈。
  • BMW
  • Neue Klasse 的下一代軟體架構
  • SDV架構
  • SDV開發模型
  • 為下一代歐洲經濟區設計SOA解決方案
  • 下一代 EEA 區域控制器設計
  • 變革車輛開發流程：
  • 變革車輛開發流程：建構數據驅動的開發生態系統
  • 變革車輛開發流程：數位雙胞胎
  • 變革車輛開發流程：人工智慧提升軟體開發效率
  • 變革車輛開發流程：深化人工智慧主導的DevOps中心策略
  • iFACTORY
  • 變革車輛開發流程：我們的內部雲端工具鏈與 CodeCraft 開發平台
  • 變革車輛開發流程：JoyCode AI輔助編程工具
  • 軟體開發革命：人工智慧原生運作模式
  • Mercedes-Benz
  • MB.OS
  • STAR3面向服務的通訊方法
  • AI驅動的軟體開發工具革命：與Cognition合作，將Devin和Windsurf引進全球工程團隊。
  • 大眾汽車
  • SOA、中介軟體及相關軟體配置的當前狀態
  • 「全領域人工智慧代理」佈局藍圖：汽車人工智慧代理概述
  • SDV策略
  • SDV戰略：在中國進行在地化部署
  • SDV 策略：CEA 的演變
  • 基於CEA的SDV策略：先進技術佈局
  • 下一代智慧駕駛座軟體系統配置：CART OS
  • 智慧駕駛系統解決方案藍圖
  • 沃爾沃
  • SOA、中介軟體及相關軟體配置的當前狀態
  • 最新的汽車軟體架構：Superset Central 軟體架構
  • 最新的汽車軟體架構：Superset 的主要優勢
  • 軟體系統實現了服務導向的架構（SOA）。
  • 車輛開發系統的演變
  • 車輛開發系統：閉合迴路開發模式
  • 車輛開發系統：基於敏捷開發流程
  • 斯特蘭蒂斯
  • STLA Brain：半集中式 EEA 與軟體架構
  • SDV戰略目標
  • 軟體開發佈局：虛擬工程工作台 (VEW)
  • 軟體開發版面：dSPACE 將與 VEW 平台共同開發 XIL 平台。
  • 軟體開發版面：VEW 的主要合作夥伴
  • 最新自動駕駛軟體的佈局
  • 與微軟建立五年策略夥伴關係
  • 豐田
  • SDV策略
  • Arene軟體平台的演變
  • 艾倫的主要成分
  • Arene的部署策略
  • 開發流程：持續整合/持續交付（CI/CD）

第6章：中國汽車產業的SOA設計及中介軟體供應商

  • Huawei
  • Neusoft Reach
  • AUTOSAR DDS
  • UAES
  • Kotei

第7章：針對海外汽車應用的SOA設計與中介軟體供應商

  • Bosch ETAS
  • Elektrobit
  • Vector
  • Aptiv
  • TTTech AUTO
  • Zetta Auto
  • KPIT
簡介目錄
Product Code: CYH130

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