에너지 및 전력 분야 디지털 트윈 시장 : 기회, 성장요인, 업계 동향 분석 및 예측(2026-2035년)

The Global Digital Twin in Energy & Power Market was valued at USD 6.6 billion in 2025 and is estimated to grow at a CAGR of 13.9% to reach USD 24.2 billion by 2035.

The market is expanding rapidly as utilities, grid operators, and energy asset managers increasingly rely on advanced simulation and real-time monitoring tools to improve operational efficiency. This growth is strongly influenced by the global transition toward renewable-dominant power systems, where intermittent energy generation from wind and solar is replacing conventional dispatchable sources. As a result, grid operators are prioritizing intelligent systems capable of optimizing existing infrastructure rather than relying solely on physical expansion. Digital twin solutions enable continuous modeling of grid behavior, allowing operators to simulate faults, assess load conditions, and improve congestion management in real time. The rising deployment of IoT-enabled devices across transmission, distribution, and generation assets is significantly improving data availability and model accuracy. Technologies such as smart sensors, edge computing devices, synchrophasor systems, and intelligent metering infrastructure are strengthening the foundation for high-resolution digital twin platforms. However, implementation requires considerable investment in hardware deployment, integration systems, software platforms, and workforce upskilling, making large-scale adoption a phased process across utilities.

The software and platform-based offerings segment held a 56% share in 2025 and is expected to grow at a CAGR of 15% through 2035. This leadership is attributed to the scalable nature of software solutions, where incremental value can be added without proportional increases in infrastructure costs. Once sensor networks and connectivity frameworks are established, utilities increasingly invest in expanding analytical and simulation capabilities through software upgrades and platform enhancements.

The cloud-based deployment models segment held 44% share in 2025. Their growth is supported by improved affordability of cloud infrastructure, increased availability of energy-focused cloud services, and the ability to manage and process large-scale real-time data across distributed energy networks. Cloud platforms also offer flexibility and scalability that align with the operational requirements of modern energy systems.

North America Digital Twin in Energy & Power Market accounted for 38% share in 2025 and is projected to grow at a CAGR of 12.6% through 2035. The region's growth is supported by large-scale infrastructure modernization efforts, increasing utility digitalization initiatives, and strong participation from established technology vendors. Continued investments in grid modernization and resilience programs are further strengthening regional adoption of advanced digital twin technologies across energy networks.

Key companies operating in the Global Digital Twin In Energy & Power Market include Siemens Energy, Schneider Electric, ABB Ltd., GE Vernova, Honeywell International, IBM Corporation, Microsoft, Accenture, Dassault Systemes, Emerson, Hitachi Energy, Bentley Systems, PTC Inc., ANSYS Inc., ETAP, Hexagon AB, Cognite AS, Yokogawa Electric, Kongsberg Digital, and Siemens AG. Market participants are actively strengthening their competitive position by investing in advanced analytics capabilities, AI-driven modeling tools, and cloud-native digital twin platforms. Strategic partnerships with utilities and grid operators are helping companies integrate solutions directly into operational workflows. Many firms are focusing on expanding their software ecosystems to offer end-to-end simulation, monitoring, and predictive maintenance capabilities. Continuous product innovation, particularly in real-time data processing and asset performance optimization, is enhancing solution value. Companies are also prioritizing global expansion strategies and sector-specific customization to address varying regulatory and infrastructure needs.

Table of Contents

Chapter 1 Methodology & Scope

• 1.1 Research design
• 1.2 Quality commitment
  • 1.2.1 GMI AI policy & data integrity commitment
    • 1.2.1.1 Source consistency protocol
• 1.3 Research Trail & Confidence Scoring
  • 1.3.1 Research Trail Components
  • 1.3.2 Scoring Components
• 1.4 Data Collection
  • 1.4.1 Partial list of primary sources
• 1.5 Data mining sources
  • 1.5.1 Paid sources
    • 1.5.1.1 Sources, by region
• 1.6 Base estimates and calculations
  • 1.6.1 Base year calculation for any one approach
• 1.7 Forecast model
• 1.8 Research transparency addendum
  • 1.8.1 Source attribution framework
  • 1.8.2 Quality assurance metrics
  • 1.8.3 Our commitment to trust
• 1.9 Market definitions

Chapter 2 Executive Summary

• 2.1 Industry synopsis, 2022 - 2035
• 2.2 Business trends
• 2.3 Components trends
• 2.4 Deployment trends
• 2.5 Twin type trends
• 2.6 Application trends
• 2.7 End user trends
• 2.8 Region trends

Chapter 3 Industry Insights

• 3.1 Industry ecosystem
• 3.2 Regulatory landscape
  • 3.2.1 North America
  • 3.2.2 Europe
  • 3.2.3 Asia Pacific
  • 3.2.4 Middle East & Africa
  • 3.2.5 Latin America
• 3.3 Industry impact forces
  • 3.3.1 Growth drivers
  • 3.3.2 Industry pitfalls & challenges
• 3.4 Growth potential analysis
• 3.5 Porter's analysis
  • 3.5.1 Bargaining power of suppliers
  • 3.5.2 Bargaining power of buyers
  • 3.5.3 Threat of new entrants
  • 3.5.4 Threat of substitutes
• 3.6 PESTEL analysis
  • 3.6.1 Political factors
  • 3.6.2 Economic factors
  • 3.6.3 Social factors
  • 3.6.4 Technological factors
  • 3.6.5 Legal factors
  • 3.6.6 Environmental factors
• 3.7 Impact of AI & generative AI on the market
  • 3.7.1 Predictive maintenance & fault detection
  • 3.7.2 Grid optimization & load forecasting
  • 3.7.3 Digital twin simulation & testing
  • 3.7.4 Risks, limitations & regulatory considerations
• 3.8 Emerging opportunities & trends
  • 3.8.1 Digitalization & IoT integration
  • 3.8.2 Emerging market penetration
• 3.9 Overall investment scenario and future outlook

Chapter 4 Competitive landscape, 2026

• 4.1 Introduction
• 4.2 Company market share analysis, by region, 2025
  • 4.2.1 North America
  • 4.2.2 Europe
  • 4.2.3 Asia Pacific
  • 4.2.4 Middle East & Africa
  • 4.2.5 Latin America
• 4.3 Competitive analysis of major market players
• 4.4 Competitive positioning matrix
• 4.5 Key developments
  • 4.5.1 Mergers & acquisitions
  • 4.5.2 Partnerships & collaborations
  • 4.5.3 New product launches
  • 4.5.4 Expansion plans & funding
• 4.6 Company tier benchmarking
  • 4.6.1 Tier classification criteria & qualifying thresholds
  • 4.6.2 Tier positioning matrix by revenue, geography & innovation

Chapter 5 Market Size and Forecast, By Component, 2022 - 2035 (USD Billion)

• 5.1 Key trends
• 5.2 Software & platforms
• 5.3 Hardware
• 5.4 Services

Chapter 6 Market Size and Forecast, By Deployment, 2022 - 2035 (USD Billion)

• 6.1 Key trends
• 6.2 On-premises
• 6.3 Cloud
• 6.4 Hybrid

Chapter 7 Market Size and Forecast, By Twin type, 2022 - 2035 (USD Billion)

• 7.1 Key trends
• 7.2 Asset twin
• 7.3 Process/system twin
• 7.4 Plant/facility twin
• 7.5 Grid/network twin
• 7.6 Enterprise/system-of-systems twin
• 7.7 Others

Chapter 8 Market Size and Forecast, By Application, 2022 - 2035 (USD Billion)

• 8.1 Key trends
• 8.2 Asset performance management
• 8.3 Predictive maintenance
• 8.4 Grid optimization & monitoring
• 8.5 Process optimization
• 8.6 Energy management
• 8.7 Remote monitoring & diagnostics
• 8.8 Simulation & scenario planning
• 8.9 Safety, risk & compliance management
• 8.10 Others

Chapter 9 Market Size and Forecast, By End user, 2022 - 2035 (USD Billion)

• 9.1 Key trends
• 9.2 Oil & gas
• 9.3 Power generation
• 9.4 Utilities & grid operators
• 9.5 Renewable energy
• 9.6 Others

Chapter 10 Market Size and Forecast, By Region, 2022 - 2035 (USD Billion)

• 10.1 Key trends
• 10.2 North America
  • 10.2.1 U.S.
  • 10.2.2 Canada
• 10.3 Europe
  • 10.3.1 Germany
  • 10.3.2 UK
  • 10.3.3 France
  • 10.3.4 Norway
  • 10.3.5 Italy
  • 10.3.6 Spain
  • 10.3.7 Russia
• 10.4 Asia Pacific
  • 10.4.1 China
  • 10.4.2 Japan
  • 10.4.3 India
  • 10.4.4 South Korea
  • 10.4.5 Australia
• 10.5 Middle East & Africa
  • 10.5.1 Saudi Arabia
  • 10.5.2 UAE
  • 10.5.3 Qatar
  • 10.5.4 South Africa
• 10.6 Latin America
  • 10.6.1 Brazil
  • 10.6.2 Argentina
  • 10.6.3 Mexico

Chapter 11 Company Profiles

• 11.1 ABB Ltd.
• 11.2 Accenture
• 11.3 ANSYS Inc.
• 11.4 Bentley Systems
• 11.5 Cognite AS
• 11.6 Dassault Systemes
• 11.7 Emerson
• 11.8 ETAP
• 11.9 GE Vernova
• 11.10 Hexagon AB
• 11.11 Hitachi Energy
• 11.12 Honeywell International
• 11.13 IBM Corporation
• 11.14 Kongsberg Digital
• 11.15 Microsoft
• 11.16 PTC Inc.
• 11.17 Schneider Electric
• 11.18 Siemens AG
• 11.19 Siemens Energy
• 11.20 Yokogawa Electric