數位孿生與模擬軟體市場：2026-2030年

本報告檢視了數位孿生和模擬軟體市場，以 230 頁的篇幅詳細解釋了數位孿生的說明、與相關概念的區別、標準化工作、市場規模和預測、競爭格局、案例研究、市場趨勢和技術發展。

本報告涵蓋的主要內容包括：

• 什麼是數位孿生？
• 數位孿生體中使用了哪些功能（包括對參考架構的詳細說明）？
• 仿真與數位孿生有何關係？
• 有哪些類型的模擬？
• 按地區和產業分類的數位孿生軟體支出水準如何？
• 不同仿真領域在模擬軟體方面的典型支出是多少？
• 主要的數位孿生供應商有哪些？
• 主要的仿真設備供應商有哪些？
• 從近期數位孿生技術的應用案例中可以得出哪些結論？
• 數位孿生領域的主要趨勢和挑戰有哪些？

上市公司

• ABB
• Ansys
• AWS
• Ansys
• Autodesk
• Bentley
• Bosch
• Dassault Systemes
• Emerson
• GE
• Google
• IBM
• Microsoft
• NVIDIA
• PTC
• Rockwell Automation
• Schneider Electric
• Siemens

數位孿生與模擬軟體市場概述

數據顯示，預計2025年，獨立數位孿生市場規模將達13億美元，模擬軟體市場規模將達118億美元。未來的主要成長要素將是縮短產品上市時間和試運行週期的市場壓力。製造商正在利用這些工具，在產品開發的早期階段進行虛擬測試，以取代後期進行的實體檢驗。這種方法稱為「左移工程」。

本報告重點關注構成價值 1,750 億美元的龐大數位孿生生態系統的以下兩個核心部分：

• 狹義上的數位孿生軟體：它由一個獨立的平台組成，用於建模、建構和管理數位孿生，構成數位孿生的核心建模層。
• 模擬軟體：它由運行求解器和處理數學模型的工具組成，用於預測 10 個主要領域的物理或邏輯行為。

本報告內容

這份長達230頁的分析報告檢驗了數位孿生和模擬技術的現狀，並提供了涵蓋10個特定模擬領域和11個行業的詳細市場規模資訊。離散製造業仍是獨立數位孿生技術支出最大的領域，預計2030年將維持37%的市場佔有率。報告將數位孿生供應商分為10類，對7家領先供應商進行了詳細分析，並總結了該行業的10個通用技術趨勢。此外，報告還包含6個詳細的案例研究，介紹了寶馬、巴西石油公司和通力等公司和機構的實施案例。這些案例研究說明如何將工程模型與即時物聯網資料整合，從而轉化為實際的商業價值。

目錄

數位孿生與模擬軟體市場：2026-2030 年（PDF）

• 1.執行摘要
• 2. 數位孿生與模擬概述
  • 本章概要
  • 數位孿生技術始於1960年代，經歷了六個發展階段。
  • 人們對數位孿生的興趣持續成長
  • 數位孿生在製造業中的重要性和優先級
  • 數位孿生在工業資料管理中的重要作用
  • 數位孿生的定義（三部分）
  • 數位孿生分類（5個部分）
  • 本德爾對多維立方體的解釋（第二部）
  • 仿真定義
  • 仿真與數位孿生之間的關係
  • 類比：供應商通訊中第二大常見主題：數位孿生
  • 調查範圍
• 3. 技術棧和架構
  • 本章概要
  • 端到端數位孿生技術堆疊：涵蓋四個關鍵工作流程的五個技術層
  • 支援數位孿生體建置和運作的關鍵技術組件（2 部分）
  • 關鍵資料和建模概念（共 4 部分）
  • 數位孿生標準化和行業協會
  • 數位孿生聯盟（3 個部分）
  • 工業數位孿生協會（共 2 部分）
  • 數位孿生參考架構（共 4 部分）
• 4. 數位孿生的模擬軟體、方法與應用
  • 本章概要
  • 模擬軟體基礎：功能、方法與應用領域
  • 支援模擬建置和利用的六項關鍵功能
  • 仿真求解器中使用的四種主要模擬方法
  • 十大模擬領域（共 3 個部分）
  • 10個模擬領域與數位孿生工作流程之間的對應關係
• 5. 數位孿生與模擬市場規模及展望
  • 本章概要
  • 基礎知識：利用物聯網分析技術，從廣義和狹義兩個層面進行數位孿生軟體和模擬軟體的市場區隔。
  • 市場概覽：數位孿生市場的狹義定義，它是更廣泛的生態系統的一部分。
  • 數位孿生軟體市場（總體）的狹義定義
  • 數位孿生軟體市場的狹義定義（按行業分類）
  • 狹義上的數位孿生軟體市場（按地區分類）
  • 狹義數位孿生軟體市場（東亞及太平洋地區：依國家分類）
  • 狹義的數位孿生軟體市場（北美：按國家分類）
  • 狹義上的數位孿生軟體市場（歐盟和中亞：按國家分類）
  • 狹義的數位孿生軟體市場（中東和非洲：按國家分類）
  • 南亞地區（按國家/地區分類）的數位孿生軟體市場（狹義）
  • 模擬軟體市場（總體）
  • 模擬軟體市場（按行業分類）
  • 模擬軟體市場（按行業分類）
  • 模擬軟體市場（按地區分類）
  • 數位孿生模擬市場的成長要素與阻礙因素
• 6. 競爭格局
  • 本章概要
  • Stack 和 Workflow 所建構的數位孿生競爭格局
  • 十種數位孿生供應商（三部分）
  • 狹義數位孿生供應商的市場佔有率
  • 仿真供應商的市場佔有率
  • 主要供應商在10個關鍵模擬領域的響應情況
  • 7家主要供應商簡介
  • 競爭環境概述
• 7. 數位孿生創造的價值
  • 本章概要
  • 數位孿生的價值創造因素
  • 兼具緊迫性和適用性的高價值工作流程。
  • 每個高價值數位孿生工作流程的特色與要求。
  • 詳細分析（全部 4 部分）
  • 概括
• 8.案例研究
  • 本章概要
  • 6個詳細案例研究的定位（包括使用的工具）
  • 案例研究分析得出的五項關鍵發現
• 9. 趨勢與挑戰
  • 本章概要
  • 十大趨勢
  • 四大挑戰
  • 結論：數位孿生與模擬技術的未來
• 10.調查方法與市場定義
• 11. 關於物聯網分析

A 230-page report detailing the market for digital twins and simulation software, including definition & disambiguation, standardization efforts, market size & outlook, competitive landscape, case studies, trends & developments.

Questions answered

• What are digital twins?
• Which capabilities are used for digital twins (including a deep dive into reference architectures)?
• How is simulation related to digital twins?
• What different types of simulations exist?
• How much is being spent on digital twin software by regions and industries?
• How much is being spent on simulation software by simulation domain?
• Who are the leading digital twin vendors?
• Who are the leading simulation vendors?
• What conclusions can be drawn from recent digital twin case studies?
• What are some of the main trends and challenges in the digital twin space?

Companies mentioned

A selection of companies mentioned in the report.

• ABB
• Ansys
• AWS
• Ansys
• Autodesk
• Bentley
• Bosch
• Dassault Systemes
• Emerson
• GE
• Google
• IBM
• Microsoft
• NVIDIA
• PTC
• Rockwell Automation
• Schneider Electric
• Siemens

About the report

The Digital Twin & Simulation Software Market Report 2026–2030 is part of IoT Analytics’ ongoing coverage of IoT software and platforms. The information presented in this report is based on the results of multiple surveys, secondary research, as well as qualitative research, i.e., interviews with 25+ digital twin experts from vendors and end users between May 2025 and July 2026. The document includes definitions for digital twin and simulation, market projections, competitive landscapes, key trends and challenges, case studies, and market-related viewpoints from subject matter experts.

Digital twin and simulation software market overview

Data indicates that the standalone digital twin market reached $1.3 billion in 2025, while the simulation software market reached $11.8 billion. The primary growth driver ahead is market pressure to compress time-to-market and commissioning cycles. Manufacturers utilize these tools to replace late-stage physical validation with early virtual testing, a practice identified as shift-left engineering.

This report outlines the two core segments within the broader $175 billion digital twin ecosystem:

• Narrow digital twin software: Comprises standalone platforms used to model, set up, and manage digital twins, representing the core modeling layer.
• Simulation software: Comprises tools for running solvers and executing mathematical models to predict physical or logical behavior across 10 key domains.

What is in this report?

This 230-page analysis examines the digital twin and simulation landscape, providing granular market sizing across 10 specific simulation domains and 11 industry verticals. Discrete manufacturing remains the largest segment for standalone digital twin spending, retaining a 37% market share through 2030. The research details 10 digital twin vendor archetypes, profiles 7 major vendors, and identifies 10 overarching technology trends. The document includes 6 in-depth case studies detailing implementations at organizations including BMW, Petrobras, and Kone. These studies outline how engineering models translate into operational value when deployed alongside live IoT data.

Table of Contents

Digital Twin & Simulation Software Market Report 2026-2030 (PDF)

• 1. Executive summary
  • Executive summary (4 parts)
  • This report sizes overlapping software markets, standalone DT and simulation software, and it maps the broader digital twin ecosystem
• 2. Introduction to digital twins and simulation
  • Introduction - Chapter overview
  • Digital twins originated in the 1960s and have since evolved in 6 phases
  • There has been a sustained growth in digital twin interest
  • For manufacturers, digital twins matter, but they are not top of the list
  • Digital twins play a crucial role within industrial data operations
  • Digital twin definition (3 parts)
  • Digital twin classification (5 parts)
  • How vendors interpret the multidimensional cube (2 parts)
  • Definition of simulation
  • Relationship between simulation and digital twins
  • Simulation is the 2nd most common digital twin theme in vendor messaging
  • Scope of this report
• 3. Technology stack & architecture
  • Technology stack & architecture: Chapter overview
  • The end-to-end digital twin stack: 5 technology layers across 4 main digital twin workflow contexts
  • Key technological components to create and work with digital twins (2 parts)
  • Key data & modeling concepts (4 parts)
  • Digital twin standards and industry bodies
  • Digital Twin Consortium (3 parts)
  • Industrial Digital Twin Association (2 parts)
  • Digital twin reference architectures (4 parts)
• 4. Simulation software, methods, and digital-twin applications
  • Simulation software, methods, and digital-twin applications: Chapter overview
  • Simulation software basics: capabilities, methods, and domains
  • 6 key capabilities to create and work with simulations
  • 4 key simulation methods leveraged by simulation solvers
  • 10 key simulation domains (3 parts)
  • How the 10 simulation domains map to the digital twin workflow contexts
• 5. Digital twin and simulation market size and outlook
  • Market size & outlook: Chapter overview
  • Primer: IoT Analytics distinguishes broad and narrow digital twin software and specifically breaks out simulation software
  • Market overview: Narrow DT market represents a fraction of the ecosystem
  • Narrow digital twin software market - Overall
  • Narrow digital twin software market - By Industry
  • Narrow digital twin software market - By Region
  • Narrow digital twin software market - East Asia & Pacific - By Country
  • Narrow digital twin software market - North America - By Country
  • Narrow digital twin software market - EU & Central Asia - By Country
  • Narrow digital twin software market - MEA - By Country
  • Narrow digital twin software market - South Asia - By Country
  • Simulation software market - Overall
  • Simulation software market - By Domain
  • Simulation software market - By Industry
  • Simulation software market - By Region
  • General drivers and inhibitors for the digital twin & simulation market
• 6. Competitive landscape
  • Competitive landscape: Chapter overview
  • Competitive digital twin landscape by stack & workflow
  • 10 digital twin vendor archetypes (3 parts)
  • Narrow digital twin vendors’ market share
  • Simulation vendors’ market share
  • Selected vendor coverage across the 10 main simulation domains
  • 7 vendor profiles
  • Competitive conclusion
• 7. Where digital twins create value
  • Where digital twins create value: Chapter overview
  • What makes a digital twin valuable?
  • The highest value digital twin workflows combine urgency with a strong fit
  • Even the highest-value digital twin workflows each have different characteristics and requirements
  • 4 deep dives
  • Concluding thoughts
• 8. Case studies
  • Case Study: Chapter overview
  • Where the 6 in-depth case studies sit in the stack (incl. tools used)
  • 5 overarching insights from an in-depth look at the digital twin case studies
• 9. Trends and challenges
  • Trends and challenges: Overview
  • 10 trends
  • 4 challenges
  • Concluding thoughts: Digital twin & simulation outlook
• 10. Methodology & market definitions
  • Research Methodology
  • Definitions (3 parts)
• 11. About IoT Analytics
  • About IoT Analytics
  • Other publications by IoT Analytics
  • Information and contact