基於模型的系統工程 (MBSE) 解決方案與軟體/系統建模工具：針對人工智慧時代的抽象與架構

當今嵌入式、邊緣和人工智慧系統的高度複雜性要求我們重新專注於工程最佳實踐。企業必須找到推動創新並成功管理變革的方法。基於模型的系統工程 (MBSE) 是一種核心方法論和工具。 MBSE 是一套成熟的實踐和技術，並且不斷發展以滿足下一代設計需求。

本報告分析了基於標準語言的建模 (SLBM) 工具（例如 SysML/SysML v2、Modelica 等）和基於專有語言的建模 (PLBM) 工具（例如 SCADE、Simulink）的市場趨勢和新興趨勢。本報告還深入探討了影響 MBSE 解決方案和軟體/系統建模工具市場的新興趨勢和技術、標準和法規、工程趨勢以及競爭策略。

本報告中提到的組織

• 牽牛星工程
• Ansys
• 應用動力國際公司
• 大槓桿
• 黑鴨子
• 黑莓機 (QNX)
• 博世
• 節奏
• 程式碼安全
• 達科郵政
• 達梭系統
• dSPACE
• Eclipse 基金會
• 艾默生
• ETAS
• IAR
• IBM
• InQuery 實驗室
• Intland 軟體
• 賈瑪軟體
• MathWorks
• 修補
• 微軟
• Modelix
• NI
• 開啟文字
• 紙莎草紙（Eclipse）
• PTC
• 純系統
• 紅色Hat
• Revenera
• Siemens
• Snyk
• Sonatype
• Sparx Systems
• Synopsys
• SysGit
• Vector Informatik
• Visual Paradigm International

人工智慧正在重新定義工程組織的需求和機會。軟體和系統建模工具的使用者已成為人工智慧的早期採用者，其應用場景多種多樣，從將人工智慧工作負載整合到終端設備和系統中，到在自身的工作流程中利用人工智慧。雖然許多供應商正在透過嵌入式人工智慧增強應用生命週期管理 (ALM) 工具，但在人工智慧系統開發領域，建模和基於模型的系統工程 (MBSE) 尤其適用於以下兩個明確的應用情境。首先，SysML 工具非常適合用來幫助工程組織設計先進的系統架構，並為安全關鍵型專案的文件和可追溯性奠定基礎。基於專有語言的工具，例如 MATLAB/Simulink 和 SCADE，支援對需要複雜演算法和對複雜環境及運行因素做出即時回應的系統進行設計、開發和模擬。我們相信，系統複雜性的不斷增加、安全關鍵功能需求的日益嚴格以及企業對效率的需求，將在未來幾年內推動對高級建模工具和基於模型的系統工程 (MBSE) 原則的需求。

主要發現

• 汽車產業仍然是嵌入式軟體和系統建模工具最大的垂直市場。近年來，市場成長主要受日益複雜的系統、ECU 的普及以及向集中式軟體定義車輛 (SDV) 專案的轉型所驅動。如今，隨著對自動駕駛、人工智慧和空中下載 (OTA) 的投資，許多 SDV 專案需要新的記錄系統和互動平台。
• SysML v2 將在未來三到五年內重塑並振興基於標準的建模工具市場。 儘管市面上湧現出越來越多的工具，但向 SysML v2 的過渡預計是一個長期過程，而非短期工具升級或切換週期。
• 達梭系統的工具曾被認為成本更低、功能不如 IBM 的 Rhapsody 和 PTC 的 Modeler，如今卻佔了嵌入式 SLBM 工具商業市場最大的佔有率。
• 超過三分之一的受訪建模工具使用者表示，他們已將 AI/ML 整合到最終產品中。事實上，這一比例幾乎是整體市場的兩倍，預計三年內將佔建模工具用戶總數的三分之二左右。
• 我們一直倡導數位孿生策略及其底層技術的優勢，而 MBSE 解決方案完美契合這一應用場景。事實上，與不使用建模工具的工程師相比，建模工具使用者在雲端服務上建立數位孿生的可能性是其兩倍。

目錄

本報告內容

本報告解答哪些問題？

誰該閱讀本報告？

本報告中提及的機構

需求方研究：概述

摘要整理

• 主要發現

全球市場：概論

• 嵌入式與企業級市場
• 基於標準語言的建模工具市場
• 基於專有語言的建模工具市場

近期市場趨勢

• 對建模工具和物理人工智慧支援的新需求 MBSE
• 數位孿生能力驅動 MBSE 的實用性，但並非其定義
• SysML v2 將加速市場演進（但不會引發革命）
• 合作與收購
• Synopsys 收購 Ansys
• 西門子與 Altair Engineering 合作，強化生命週期管理解決方案
• PTC 透過收購 InQuery Labs，持續擴展“企業級應用生命週期管理”

垂直市場

• 航空航太與國防
• 汽車
• 通訊與網路
• 工業自動化與機器人
• 醫療器材

地區市場

• 南北美洲
• 歐洲·中東·非洲
• 亞太地區

競爭情形

• 主要的供應商的洞察
• Ansys
• Dassault Systems
• dSPACE
• ETAS
• IBM
• MathWorks
• NI
• PTC
• Sparx Systems

工程洞察

• 全球配置變更重新定義了對傳統應用生命週期管理 (ALM) 工具的需求
• 採用模型驅動系統工程 (MBSE) 的組織引領生成式人工智慧的發展 研究範圍和方法

範圍與調查手法

關於作者

關於VDC調查

Inside this Report

The complexity of today's embedded, edge, and AI systems demands new attention to engineering best practices. Organizations must identify the approaches required to drive innovation and manage change. Chief among those methods and tools is MBSE, a proven set of practices and technologies evolving to meet the needs of next-generation design requirements.

This report analyzes the market and emerging trends for standard language-based modeling (SLBM) tools (e.g., SysML/SysML v2, Modelica, etc.), as well as proprietary language-based modeling (PLBM) tools (e.g., SCADE, Simulink). It includes detailed discussion of emerging trends and technologies, standards and regulations, engineering behaviors, and competitive strategies that are impacting the market for MBSE solutions and software/system modeling tools.

What Questions are Addressed?

• How are needs for MBSE solutions evolving, and what are the key growth drivers through 2029?
• In what ways are increasing complexity, AI, and digital twin initiatives reshaping modeling tool need?
• What impact is SysML v2 having on the vendor landscape and MBSE utility?
• Which vertical markets are driving MBSE investment, and how do regulatory and certification requirements influence tool selection?
• How are leading vendors adapting their portfolios to AI and shifting lifecycle integration expectations?

Who Should Read this Report?

This research program is written for those making critical business decisions regarding product, market, channel, and competitive strategy and tactics. This report is intended for senior decision-makers who are developing embedded technology, including:

• CEO or other C-level executives
• Corporate development and M&A teams
• Marketing executives
• Business development and sales leaders
• Product development and strategy leaders
• Channel management and channel strategy leaders

Organizations Mentioned in this Report

• Altair Engineering
• Ansys
• Applied Dynamics International
• BigLever
• Black Duck
• BlackBerry (QNX)
• Bosch
• Cadence
• CodeSecure
• Dacoposte
• Dassault Systemes
• dSPACE
• Eclipse Foundation
• Emerson
• ETAS
• IAR
• IBM
• InQuery Labs
• Intland Software
• Jama Software
• MathWorks
• Mend
• Microsoft
• Modelix
• NI
• OpenText
• Papyrus (Eclipse)
• PTC
• pure-systems
• Red Hat
• Revenera
• Siemens
• Snyk
• Sonatype
• Sparx Systems
• Synopsys
• SysGit
• Vector Informatik
• Visual Paradigm International

Demand-side Research Overview

VDC launches numerous surveys of the IoT and embedded engineering ecosystem every year using an online survey platform. To support this research, VDC leverages its in-house panel of more than 30,000 individuals from various roles and industries across the world. Our global Voice of the Engineer survey recently captured insights from a total of 600 qualified respondents. This survey was used to inform our insight into key trends, preferences, and predictions within the engineering community.

Executive Summary

The overall market for MBSE and software/system modeling tools reached $B in 2024 and will reach $B in 2029, a CAGR of % over the forecast period, driven by strong growth within the embedded solution market. We believe this growth could accelerate even further in the coming years, as a function of both organic market need as well as further evangelism by the growing roster of PLM, EDA, and ALM companies all working to integrate more MBSE and SysML v2 solutions across their portfolios.

AI is redefining the needs of and opportunities for engineering organizations. Already, software and system modeling tool users are early adopters of AI across a range of use cases from end devices/systems integrating AI workloads to using AI within their own workflows. While many vendors are enhancing their ALM tools with AI-infused intelligence, there are two distinct use cases for AI system development for which modeling and MBSE are well suited. For one, SysML tools are ideal to help engineering organizations architect advanced systems and establish an underpinning for documentation and traceability for safety-critical projects. Proprietary language-based tools, such as MATLAB/Simulink and SCADE, can help organizations design, develop, and simulate systems with advanced algorithms and needs for real-time response to complex environmental, operational factors. We believe that the combination of advancing system complexity, safety-critical functionality requirements, and corporate mandates for efficiency will drive increasing need for sophisticated modeling tools and MBSE principles for years to come.

Key Findings

• Automotive remains the largest vertical for embedded software and system modeling tools. In recent years, market growth was driven by complexity and ECU proliferation, and the transition to centralized software-defined vehicle (SDV) programs. Now an increasing number of those programs need new systems of record and engagement given investments in autonomy, AI, and over-the-air software updates.
• SysML v2 will reshape and revitalize the standard language-based modeling tool market over the next three to five years. Although more tools are becoming available in the market, SysML v2 will still be a longer-term transition, as opposed to a short-term tool upgrade or shift cycle.
• Once viewed as a lower-cost and less-capable alternative to IBM's Rhapsody or PTC's Modeler, Dassault's commands the largest commercial market share for embedded SLBM tools.
• More than one-third of surveyed modeling tool users reported the integration of AI/ML into their end product. In fact, this rate is nearly twice that of the market at large and is expected to account for nearly two-thirds of modeling tool users in three years.
• For years, we have espoused the benefits of digital twin strategies and the foundational technologies required to enable them. MBSE solutions fit that use case directly. In fact, modeling tool users are twice as likely to establish digital twins in cloud services than those engineers not using modeling tools.

Code generation has been a key area of extension and value add for modeling tool vendors for over a decade. In practice, however, legacy solutions fell short due to shortcomings of architectural abstractions and the realities of fragmented hardware ecosystems. Despite generative AI coding capabilities only recently becoming widely commercially available, users of modeling tools have eagerly adopted these solutions at a disproportionately high rate, with % using the technology - a rate twice that of the industry overall.

Developers across both enterprise and embedded domains report significant reservations regarding the trustworthiness of AI-generated code. Across organization types, engineers identified code quality, security, compliance, and license infringement as leading concerns. Embedded engineers cited code quality as the absolute highest concern due to the importance of software performance in embedded system function. Software must run exactly as intended, regardless of deployment environment. Tool providers should restrict model training databases to ensure that AI generates reliable code based on tested documentation and examples, which will also help end users reduce licensing risks. In tandem, solution providers should offer model training and refinement as a service to further ensure a level of specialized code quality that generic LLM-based solutions cannot provide.

To address compliance concerns, modeling tool vendors should partner with requirements management, test, and software composition analysis (SCA) providers. Engineering organizations must effectively manage and trace

requirements to meet standards such as DO-178C and ISO 26262. IBM DOORS, Jama Connect, and Polarion from Siemens all help engineers track compliance from design to code to test. Similarly, SCA tools from vendors such as Black Duck, CodeSecure, Mend, Revenera, Sonatype, and Snyk track violations from known repositories to ensure that open source and AI-generated code do not violate existing licenses. In the same way that application lifecycle management, software testing, and SCA have converged in recent years to form single-platform solutions, AI code generation solutions and extensions fit directly within the software tooling landscape. A fully combined solution featuring modeling, requirements management, code generation, and software verification and validation would give customers a single dashboard or source of truth for code generation analytics, quality, induced risks, and impact on development time.

Table of Contents

Inside this Report

What Questions are Addressed?

Who Should Read this Report?

Organizations Mentioned in this Report

Demand-side Research Overview

Executive Summary

• Key Findings

Global Market Overview

• Embedded and Enterprise Markets
• Standard Language-based Modeling Tool Market
• Proprietary Language-based Modeling Tool Market

Recent Market Developments

• Physical AI Underpinning New Needs Modeling Tools and MBSE
• Digital Twin Capabilities Drive, but do Not Define MBSE Utility
• SysML v2 to Catalyze a Market Evolution (but not yet Revolution)
• Partnerships & Acquisitions
• Synopsys Acquires Ansys
• Siemens Bolsters Lifecycle Management Solution with Altair Engineering
• PTC Continues "Enterprise ALM" Expansion with InQuery Labs Addition

Vertical Markets

• Aerospace & Defense
• Automotive In-Vehicle
• Communications & Networking
• Industrial Automation & Robotics
• Medical Devices

Regional Markets

• Americas
• Europe, the Middle East & Africa (EMEA)
• Asia-Pacific (APAC)

Competitive Landscape

• Selected Vendor Insights
• Ansys
• Dassault Systems
• dSPACE
• ETAS
• IBM
• MathWorks
• NI
• PTC
• Sparx Systems

Engineering Insights

• Global Configuration Reshaping Traditional ALM Tool Needs
• MBSE Organizations are Gen AI Leaders

Scope & Methodology

About the Authors

About VDC Research

List of Exhibits

• Exhibit 1 Worldwide Shipments of Embedded Software/System Modeling Tools and Related Services, 2024 - 2029
• Exhibit 2 Worldwide Shipments of Standard Language-Based, Enterprise/IT Software/System Modeling Tools and Related Services, 2024 - 2029
• Exhibit 3 Worldwide Shipments of Standard Language-Based Software/System Modeling Tools and Related Services, 2024 - 2029
• Exhibit 4 Worldwide Shipments of Proprietary Language-Based Software/System Modeling Tools and Related Services, 2024 - 2029
• Exhibit 5 Artificial Intelligence/machine learning Capabilities/Features
• Exhibit 6 Use of Digital Twin Cloud Service Capabilities in Current Project
• Exhibit 7 Worldwide Shipments of Embedded Software/System Modeling Tools and Related Services, Segmented by Vertical Market; 2024 & 2029
• Exhibit 8 Worldwide Shipments of Standard Language-Based Software/System Modeling Tools and Related Services, Segmented by Vertical Market; 2024 & 2029
• Exhibit 9 Worldwide Shipments of Proprietary Language-Based Software/System Modeling Tools and Related Services, Segmented by Vertical Market; 2024 & 2029
• Exhibit 10 Aerospace and Defense Shipments of Embedded Software/System Modeling Tools, 2024 - 2029
• Exhibit 11 Automotive In-Vehicle Shipments of Embedded Software/System Modeling Tools and Related Services, 2024 - 2029
• Exhibit 12 Communications and Networking Shipments of Embedded Software/System Modeling Tools and Related Services, 2024 - 2029
• Exhibit 13 Industrial Automation and Robotics Shipments of Embedded Software/System Modeling Tools and Related Services, 2024 - 2029
• Exhibit 14 Medical Devices Shipments of Embedded Software/System Modeling Tools and Related Services, 2024 - 2029
• Exhibit 15 Worldwide Shipments of Software/System Modeling Tools and Related Services, Segmented by Geographic Region; 2024 & 2029
• Exhibit 16 The Americas Shipments of Software/System Modeling Tools and Related Services, 2024 - 2029
• Exhibit 17 EMEA Shipments of Software/System Modeling Tools and Related Services, 2024 - 2029
• Exhibit 18 APAC Shipments of Software/System Modeling Tools and Related Services, 2024 - 2029
• Exhibit 19 Worldwide Shipments of Embedded Software/System Modeling Tools, Segmented by Leading Vendors; 2024
• Exhibit 20 Worldwide Shipments of Standard Language-Based, Enterprise/IT Software/System Modeling Tools, Segmented by Leading Vendors; 2024
• Exhibit 21 Worldwide Shipments of Standard Language-Based, Embedded Software/System Modeling Tools, Segmented by Leading Vendors; 2024
• Exhibit 22 Worldwide Shipments of Proprietary Language-Based, Embedded Software/System Modeling Tools, Segmented by Leading Vendors; 2024
• Exhibit 23 Types of Tools Used, Segmented by Current Project Safety-critical Certification/Process Standard Requirements
• Exhibit 24 Attributions of Delays to Project in Engineering Projects
• Exhibit 25 Consideration/Use of AI-generated Software/Code, by Software/System Modeling Tool Use
• Exhibit 26 Expected Change in Use of AI-Generated Software in the Next Three Years