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Electrical Digital Twin Market Forecasts to 2030 - Global Analysis By Type, Component Type, Technology, Application, End User and By Geography

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  • Siemens AG
  • ABB Group
  • Schneider Electric SE
  • General Electric Company
  • IBM Corporation
  • Dassault Systemes
  • Bentley Systems, Incorporated
  • Honeywell International Inc.
  • Hitachi, Ltd.
  • Rockwell Automation, Inc.
  • SAP SE
  • Hexagon AB
  • ESI Group
  • Synopsys, Inc.
  • Smart Wires Inc.
  • Lanner Group
  • Cyient Ltd.
KSA 24.07.04

According to Stratistics MRC, the Global Electrical Digital Twin Market is accounted for $1.1 billion in 2024 and is expected to reach $2.6 billion by 2030 growing at a CAGR of 14.2% during the forecast period. An Electrical Digital Twin is a virtual representation of an electrical system that mirrors its real-world counterpart in real-time. It integrates data from sensors and IoT devices to simulate, predict, and optimize system performance. This digital replica enables efficient monitoring, analysis, and maintenance by providing insights into system behavior, identifying potential issues, and facilitating decision-making. By leveraging advanced technologies, it enhances operational efficiency, reliability, and overall system management.

According to the International Energy Agency, the share of renewable in global electricity generation was 29% in 2020 compared with 27% in 2019. Renewable electricity generation is expected to grow by 8% to reach 8,300 TWh in 2021.

Market Dynamics:

Driver:

Integration of variable renewable energy and decentralization

The integration of variable renewable energy sources and decentralization is pivotal in the market. Digital twins enable real-time monitoring and optimization of renewable energy assets, enhancing their reliability and efficiency. Decentralization facilitates grid resilience by distributing power generation across diverse sources and locations. Together, these technologies empower utilities and operators to manage grid variability, optimize energy flows, and meet sustainability goals effectively in a rapidly evolving energy landscape.

Restraint:

System complexity and data availability

The market faces significant challenges with system complexity and data availability. Integrating diverse subsystems and ensuring real-time data access from numerous sources pose hurdles. Achieving accurate simulations and predictive analytics requires comprehensive data sets, often dispersed across different formats and platforms. Overcoming these challenges demands robust integration frameworks and advanced data management strategies to maintain synchronization and reliability across the digital twin ecosystem.

Opportunity:

Improved asset performance management

Improved asset performance management (APM) in the market enhances operational efficiency through advanced analytics and real-time monitoring. By creating virtual replicas of physical assets, APM optimizes maintenance schedules, predicts failures, and reduces downtime. Ultimately, integrating APM into Electrical Digital Twins ensures robust asset reliability, longevity, and overall operational excellence in industries such as manufacturing, utilities, and infrastructure.

Threat:

Lack of standardization

In the market, a significant challenge lies in the lack of standardization. This absence complicates interoperability between different platforms and systems, hindering seamless data exchange and integration. It leads to compatibility issues and increases costs associated with custom integrations. Standardization efforts are essential to establish common protocols and formats, enabling more effective collaboration across the industry and ensuring that digital twins can deliver their full potential in optimizing operations and maintenance processes.

Covid-19 Impact:

The COVID-19 pandemic significantly influenced the market by accelerating its adoption across industries. With disruptions in supply chains and operations, companies increasingly turned to digital twins for remote monitoring and predictive maintenance, enhancing operational resilience. This period underscored the technology's role in mitigating risks and optimizing asset performance amidst uncertainty. As businesses prioritize digital transformation and resilience post-pandemic, the Electrical Digital Twin market is poised for sustained growth, driven by its proven benefits in efficiency, cost reduction, and operational continuity.

The actuators segment is expected to be the largest during the forecast period

The actuators is expected to be the largest during the forecast period. These devices translate digital instructions into physical movements, enabling precise control and monitoring. Actuators ensure accuracy in predictive maintenance, operational efficiency, and system optimization across industries such as manufacturing, energy, and transportation. Their integration enhances simulation fidelity, enabling comprehensive analysis and real-time adjustments for improved performance and reliability in complex, interconnected systems.

The process optimization segment is expected to have the highest CAGR during the forecast period

The process optimization segment is expected to have the highest CAGR during the forecast period. By creating accurate digital replicas of electrical systems, companies can streamline operations, predict maintenance needs, and optimize resource allocation. This proactive approach minimizes downtime, reduces costs, and improves overall productivity. Leveraging advanced analytics and IoT integration, organizations can achieve higher reliability and sustainability in their electrical infrastructure, meeting evolving market demands effectively.

Region with largest share:

North America is projected to hold the largest market share during the forecast period. These digital replicas of physical electrical systems enable real-time monitoring, predictive maintenance, and performance optimization across various industries such as manufacturing, energy, and utilities. With growing adoption of smart grid solutions and increasing focus on operational efficiency, the market is poised for substantial growth, leveraging simulation models to enhance reliability and improve overall asset management strategies in the region.

Region with highest CAGR:

Asia Pacific is projected to hold the highest CAGR over the forecast period. With the increasing adoption of renewable energy sources like solar and wind, there is a growing need for sophisticated digital solutions to manage the intermittency and variability of these sources. Digital twins can help optimize the integration of renewables into the grid. Supportive government policies and initiatives aimed at digital transformation and Industry 4.0 are accelerating the adoption of digital twins across various sectors, including electrical infrastructure.

Key players in the market

Some of the key players in Electrical Digital Twin market include Siemens AG, ABB Group, Schneider Electric SE, General Electric Company, IBM Corporation, Dassault Systemes, Bentley Systems, Incorporated, Honeywell International Inc., Hitachi, Ltd., Rockwell Automation, Inc., SAP SE., Hexagon AB, ESI Group, Synopsys, Inc., Smart Wires Inc., Lanner Group and Cyient Ltd.

Key Developments:

In October 2023, ABB has signed a partnership with Canadian-based Computer Modelling Group (CMG) - a global simulation technology company that has been involved in carbon capture for over 20 years - to incorporate subsurface modelling into their existing digital twin technology for commercial carbon capture and storage (CCS) operations.

In April 2023, Siemens LDA and Sulzer announce digital collaboration bringing together their respective IoT-platforms and services, BLUE BOX(TM) and SIDRIVE IQ, the two companies are collaborating to deliver an integrated solution that improves equipment reliability and cuts operations costs.

Types Covered:

  • Digital Grid
  • Digital Wind Farm
  • Digital Gas & Steam Power Plant
  • Distributed Energy Resources
  • Digital Hydropower Plant
  • Other Types

Component Types Covered:

  • Sensors
  • Actuators
  • Control Systems
  • Communication Modules
  • Software Platforms

Technologies Covered:

  • Cloud Computing and Edge Computing
  • Artificial Intelligence
  • Augmented Reality (AR)
  • Machine Learning
  • Other Technologies

Applications Covered:

  • Predictive Maintenance
  • Performance Optimization
  • Asset Management
  • Process Optimization
  • Other Applications

End Users Covered:

  • Energy & Utilities
  • Manufacturing
  • Automotive
  • Aerospace & Defense
  • Healthcare
  • Retail
  • Other End Users

Regions Covered:

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • Italy
    • France
    • Spain
    • Rest of Europe
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia
    • New Zealand
    • South Korea
    • Rest of Asia Pacific
  • South America
    • Argentina
    • Brazil
    • Chile
    • Rest of South America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Qatar
    • South Africa
    • Rest of Middle East & Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2022, 2023, 2024, 2026, and 2030
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface

  • 2.1 Abstract
  • 2.2 Stake Holders
  • 2.3 Research Scope
  • 2.4 Research Methodology
    • 2.4.1 Data Mining
    • 2.4.2 Data Analysis
    • 2.4.3 Data Validation
    • 2.4.4 Research Approach
  • 2.5 Research Sources
    • 2.5.1 Primary Research Sources
    • 2.5.2 Secondary Research Sources
    • 2.5.3 Assumptions

3 Market Trend Analysis

  • 3.1 Introduction
  • 3.2 Drivers
  • 3.3 Restraints
  • 3.4 Opportunities
  • 3.5 Threats
  • 3.6 Technology Analysis
  • 3.7 Application Analysis
  • 3.8 End User Analysis
  • 3.9 Emerging Markets
  • 3.10 Impact of Covid-19

4 Porters Five Force Analysis

  • 4.1 Bargaining power of suppliers
  • 4.2 Bargaining power of buyers
  • 4.3 Threat of substitutes
  • 4.4 Threat of new entrants
  • 4.5 Competitive rivalry

5 Global Electrical Digital Twin Market, By Type

  • 5.1 Introduction
  • 5.2 Digital Grid
  • 5.3 Digital Wind Farm
  • 5.4 Digital Gas & Steam Power Plant
  • 5.5 Distributed Energy Resources
  • 5.6 Digital Hydropower Plant
  • 5.7 Other Types

6 Global Electrical Digital Twin Market, By Component Type

  • 6.1 Introduction
  • 6.2 Sensors
  • 6.3 Actuators
  • 6.4 Control Systems
  • 6.5 Communication Modules
  • 6.6 Software Platforms

7 Global Electrical Digital Twin Market, By Technology

  • 7.1 Introduction
  • 7.2 Cloud Computing and Edge Computing
  • 7.3 Artificial Intelligence
  • 7.4 Augmented Reality (AR)
  • 7.5 Machine Learning
  • 7.6 Other Technologies

8 Global Electrical Digital Twin Market, By Application

  • 8.1 Introduction
  • 8.2 Predictive Maintenance
  • 8.3 Performance Optimization
  • 8.4 Asset Management
  • 8.5 Process Optimization
  • 8.6 Other Applications

9 Global Electrical Digital Twin Market, By End User

  • 9.1 Introduction
  • 9.2 Energy & Utilities
  • 9.3 Manufacturing
  • 9.4 Automotive
  • 9.5 Aerospace & Defense
  • 9.6 Healthcare
  • 9.7 Retail
  • 9.8 Other End Users

10 Global Electrical Digital Twin Market, By Geography

  • 10.1 Introduction
  • 10.2 North America
    • 10.2.1 US
    • 10.2.2 Canada
    • 10.2.3 Mexico
  • 10.3 Europe
    • 10.3.1 Germany
    • 10.3.2 UK
    • 10.3.3 Italy
    • 10.3.4 France
    • 10.3.5 Spain
    • 10.3.6 Rest of Europe
  • 10.4 Asia Pacific
    • 10.4.1 Japan
    • 10.4.2 China
    • 10.4.3 India
    • 10.4.4 Australia
    • 10.4.5 New Zealand
    • 10.4.6 South Korea
    • 10.4.7 Rest of Asia Pacific
  • 10.5 South America
    • 10.5.1 Argentina
    • 10.5.2 Brazil
    • 10.5.3 Chile
    • 10.5.4 Rest of South America
  • 10.6 Middle East & Africa
    • 10.6.1 Saudi Arabia
    • 10.6.2 UAE
    • 10.6.3 Qatar
    • 10.6.4 South Africa
    • 10.6.5 Rest of Middle East & Africa

11 Key Developments

  • 11.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 11.2 Acquisitions & Mergers
  • 11.3 New Product Launch
  • 11.4 Expansions
  • 11.5 Other Key Strategies

12 Company Profiling

  • 12.1 Siemens AG
  • 12.2 ABB Group
  • 12.3 Schneider Electric SE
  • 12.4 General Electric Company
  • 12.5 IBM Corporation
  • 12.6 Dassault Systemes
  • 12.7 Bentley Systems, Incorporated
  • 12.8 Honeywell International Inc.
  • 12.9 Hitachi, Ltd.
  • 12.10 Rockwell Automation, Inc.
  • 12.11 SAP SE
  • 12.12 Hexagon AB
  • 12.13 ESI Group
  • 12.14 Synopsys, Inc.
  • 12.15 Smart Wires Inc.
  • 12.16 Lanner Group
  • 12.17 Cyient Ltd.
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