基于模型的系统工程 (MBSE) 解决方案与软体/系统建模工具：针对人工智慧时代的抽象与架构

当今嵌入式、边缘和人工智慧系统的高度复杂性要求我们重新专注于工程最佳实践。企业必须找到推动创新并成功管理变革的方法。基于模型的系统工程 (MBSE) 是一种核心方法论和工具。 MBSE 是一套成熟的实践和技术，并且不断发展以满足下一代设计需求。

本报告分析了基于标准语言的建模 (SLBM) 工具（例如 SysML/SysML v2、Modelica 等）和基于专有语言的建模 (PLBM) 工具（例如 SCADE、Simulink）的市场趋势和新兴趋势。本报告还深入探讨了影响 MBSE 解决方案和软体/系统建模工具市场的新兴趋势和技术、标准和法规、工程趋势以及竞争策略。

本报告中提到的组织

• 牵牛星工程
• Ansys
• 应用动力国际公司
• 大槓桿
• 黑鸭子
• 黑莓机 (QNX)
• 博世
• 节奏
• 程式码安全
• 达科邮政
• 达梭系统
• dSPACE
• Eclipse 基金会
• 艾默生
• ETAS
• IAR
• IBM
• InQuery 实验室
• Intland 软体
• 贾玛软体
• MathWorks
• 修补
• 微软
• Modelix
• NI
• 开启文字
• 纸莎草纸（Eclipse）
• PTC
• 纯系统
• 红色Hat
• Revenera
• Siemens
• Snyk
• Sonatype
• Sparx Systems
• Synopsys
• SysGit
• Vector Informatik
• Visual Paradigm International

人工智慧正在重新定义工程组织的需求和机会。软体和系统建模工具的使用者已成为人工智慧的早期采用者，其应用场景多种多样，从将人工智慧工作负载整合到终端设备和系统中，到在自身的工作流程中利用人工智慧。虽然许多供应商正在透过嵌入式人工智慧增强应用生命週期管理 (ALM) 工具，但在人工智慧系统开发领域，建模和基于模型的系统工程 (MBSE) 尤其适用于以下两个明确的应用情境。首先，SysML 工具非常适合用来帮助工程组织设计先进的系统架构，并为安全关键型专案的文件和可追溯性奠定基础。基于专有语言的工具，例如 MATLAB/Simulink 和 SCADE，支援对需要复杂演算法和对复杂环境及运行因素做出即时回应的系统进行设计、开发和模拟。我们相信，系统复杂性的不断增加、安全关键功能需求的日益严格以及企业对效率的需求，将在未来几年内推动对高级建模工具和基于模型的系统工程 (MBSE) 原则的需求。

主要发现

• 汽车产业仍然是嵌入式软体和系统建模工具最大的垂直市场。近年来，市场成长主要受日益复杂的系统、ECU 的普及以及向集中式软体定义车辆 (SDV) 专案的转型所驱动。如今，随着对自动驾驶、人工智慧和空中下载 (OTA) 的投资，许多 SDV 专案需要新的记录系统和互动平台。
• SysML v2 将在未来三到五年内重塑并振兴基于标准的建模工具市场。 儘管市面上涌现出越来越多的工具，但向 SysML v2 的过渡预计是一个长期过程，而非短期工具升级或切换週期。
• 达梭系统的工具曾被认为成本更低、功能不如 IBM 的 Rhapsody 和 PTC 的 Modeler，如今却占了嵌入式 SLBM 工具商业市场最大的占有率。
• 超过三分之一的受访建模工具使用者表示，他们已将 AI/ML 整合到最终产品中。事实上，这一比例几乎是整体市场的两倍，预计三年内将占建模工具用户总数的三分之二左右。
• 我们一直倡导数位孪生策略及其底层技术的优势，而 MBSE 解决方案完美契合这一应用场景。事实上，与不使用建模工具的工程师相比，建模工具使用者在云端服务上建立数位孪生的可能性是其两倍。

目录

本报告内容

本报告解答哪些问题？

谁该阅读本报告？

本报告中提及的机构

需求方研究：概述

摘要整理

• 主要发现

全球市场：概论

• 嵌入式与企业级市场
• 基于标准语言的建模工具市场
• 基于专有语言的建模工具市场

近期市场趋势

• 对建模工具和物理人工智慧支援的新需求 MBSE
• 数位孪生能力驱动 MBSE 的实用性，但并非其定义
• SysML v2 将加速市场演进（但不会引发革命）
• 合作与收购
• Synopsys 收购 Ansys
• 西门子与 Altair Engineering 合作，强化生命週期管理解决方案
• PTC 透过收购 InQuery Labs，持续扩展“企业级应用生命週期管理”

垂直市场

• 航空航太与国防
• 汽车
• 通讯与网路
• 工业自动化与机器人
• 医疗器材

地区市场

• 南北美洲
• 欧洲·中东·非洲
• 亚太地区

竞争情形

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

工程洞察

• 全球配置变更重新定义了对传统应用生命週期管理 (ALM) 工具的需求
• 采用模型驱动系统工程 (MBSE) 的组织引领生成式人工智慧的发展 研究范围和方法

范围与调查手法

关于作者

关于VDC调查

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