디지털 트윈 및 시뮬레이션 소프트웨어 시장(2026-2030년)

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