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1503416

到 2030 年的電氣數位雙胞胎市場預測：按類型、組件類型、技術、應用、最終用戶和地區進行的全球分析

Electrical Digital Twin Market Forecasts to 2030 - Global Analysis By Type, Component Type, Technology, Application, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 200+ Pages | 商品交期: 2-3個工作天內

價格

根據 Stratistics MRC 的數據，2024 年全球電氣數位雙胞胎市場規模將達到 11 億美元，預計到 2030 年將達到 26 億美元，預測期內複合年成長率為 14.2%。

電氣數位雙胞胎是即時反映現實世界的電氣系統的虛擬表示。整合來自感測器和物聯網設備的資料以模擬、預測和最佳化系統性能。此數位副本透過提供對系統行為的洞察、識別潛在問題和促進決策來實現高效的監控、分析和維護。利用先進技術提高營運效率、可靠性和整體系統管理。

根據國際能源總署 (IEA) 的數據，2020 年可再生能源佔全球發電量的 29%，而 2019 年為 27%。預計 2021 年可再生能源發電量將成長 8%，達到 8,300 太瓦時。

可變可再生能源的整合與分散

波動的可再生能源的整合和分散在市場上至關重要。數位雙胞胎能夠即時監控和最佳化可再生能源資產，提高其可靠性和效率。分散化透過將發電分佈在不同的來源和地點來提高電網的彈性。這些技術將使公共事業和電力生產商能夠在快速發展的能源環境中管理電網波動、最佳化能源流量並有效實現永續性目標。

系統複雜性和資料可用性

市場面臨系統複雜性和資料可用性的重大挑戰。整合不同的子系統並確保來自多個來源的即時資料存取是一個障礙。準確的模擬和預測分析需要全面的資料集，這些資料集通常分佈在不同的格式和平台上。克服這些挑戰需要強大的整合框架和先進的資料管理策略，以保持整個數位雙胞胎生態系統的同步和可靠。

改善資產績效管理

改善市場中的資產績效管理 (APM)，透過進階分析和即時監控提高業務效率。透過建立實體資產的虛擬副本，APM 可以最佳化維護計劃、預測故障並減少停機時間。最終，將 APM 與電氣數位雙胞胎整合可確保製造、公共產業和基礎設施等行業的資產可靠性、使用壽命和整體卓越營運。

缺乏標準化

缺乏標準化是市場面臨的主要挑戰。這種缺乏使不同平台和系統之間的互通性變得複雜，並阻礙了無縫資料交換和整合。這會導致相容性問題並增加與自訂整合相關的成本。需要標準化工作來建立通用通訊協定和格式，實現整個行業更有效的協作，並充分發揮數位雙胞胎在最佳化營運和維護流程方面的潛力。

COVID-19 的影響：

COVID-19 大流行對市場產生了重大影響，加速了各行業的採用。供應鏈和營運的中斷導致公司依賴數位雙胞胎進行遠端監控和預測性維護，從而使營運更具彈性。這段時期凸顯了該技術在不確定性時期降低風險和最佳化資產績效方面所扮演的角色。隨著企業優先考慮數位轉型和疫情後的復原能力，由於在效率、成本節約和業務永續營運方面的公認優勢，電力數位雙胞胎市場可望持續成長。

預計致動器產業在預測期內將是最大的

致動器將成為預測期內最大的市場。這些設備將數位指令轉換為實體運動，從而實現精確控制和監控。致動器可確保製造、能源和運輸等行業的預測性維護、營運效率和系統最佳化的精度。致動器整合提高了模擬保真度，並實現全面分析和即時調整，以提高複雜互連系統的效能和可靠性。

預計流程最佳化領域在預測期內的複合年成長率最高。

流程最佳化領域預計在預測期內複合年成長率最高。透過創建準確的電氣系統數位副本，公司可以簡化營運、預測維護需求並最佳化資源分配。這種主動方法可以最大限度地減少停機時間、降低成本並提高整體生產力。透過利用先進的分析和物聯網整合，企業可以實現其電力基礎設施的高可靠性和永續性，並有效滿足不斷變化的市場需求。

比最大的地區

預計北美在預測期內將佔據最大的市場佔有率。實體電氣系統的數位複製可以在製造、能源和公共產業等多個行業中實現即時監控、預測性維護和性能最佳化。隨著智慧電網解決方案的普及和對營運效率提高的關注，該地區利用模擬模型來提高可靠性並改善整體資產管理策略，該市場有望實現顯著成長。

複合年成長率最高的地區：

預計亞太地區在預測期內將維持最高的複合年成長率。太陽能和風能等可再生能源的日益普及，增加了對先進數位解決方案的需求，以管理這些能源來源的間歇性和可變性。數位雙胞胎可以幫助最佳化可再生能源與電網的整合。支持旨在數位轉型和工業 4.0 的政府政策和舉措正在加速數位雙胞胎在包括電力基礎設施在內的各個領域的採用。

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    • 根據產品系列、地理分佈和策略聯盟對主要企業基準化分析

目錄

第1章執行摘要

第2章 前言

  • 概述
  • 相關利益者
  • 調查範圍
  • 調查方法
    • 資料探勘
    • 資料分析
    • 資料檢驗
    • 研究途徑
  • 研究資訊來源
    • 主要研究資訊來源
    • 二次研究資訊來源
    • 先決條件

第3章市場趨勢分析

  • 促進因素
  • 抑制因素
  • 機會
  • 威脅
  • 技術分析
  • 應用分析
  • 最終用戶分析
  • 新興市場
  • COVID-19 的影響

第4章波特五力分析

  • 供應商的議價能力
  • 買方議價能力
  • 替代品的威脅
  • 新進入者的威脅
  • 競爭公司之間的敵對關係

第5章全球電動數位雙胞胎市場：依類型

  • 數位格
  • 數位化風力發電場
  • 數位燃氣和蒸氣發電廠
  • 分散式能源
  • 數位化水力發電廠
  • 其他類型

第6章全球數位雙胞胎市場：依組件類型

  • 感應器
  • 致動器
  • 控制系統
  • 通訊模組
  • 軟體平台

第7章全球電動數位雙胞胎市場：依技術分類

  • 雲端運算和邊緣運算
  • 人工智慧
  • 擴增實境（AR）
  • 機器學習
  • 其他技術

第8章全球電動數位雙胞胎市場：依應用分類

  • 預測性維護
  • 效能最佳化
  • 資產管理
  • 流程最佳化
  • 其他用途

第9章全球電氣數位雙胞胎市場：依最終用戶分類

  • 能源/公共產業
  • 製造業
  • 車
  • 航太和國防
  • 衛生保健
  • 零售
  • 其他最終用戶

第10章全球電動數位雙胞胎市場：按地區

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 義大利
    • 法國
    • 西班牙
    • 其他歐洲國家
  • 亞太地區
    • 日本
    • 中國
    • 印度
    • 澳洲
    • 紐西蘭
    • 韓國
    • 其他亞太地區
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地區
  • 中東/非洲
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 卡達
    • 南非
    • 其他中東和非洲

第11章 主要進展

  • 合約、夥伴關係、協作和合資企業
  • 收購和合併
  • 新產品發布
  • 業務擴展
  • 其他關鍵策略

第12章 公司概況

  • 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.
Product Code: SMRC26586

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.

List of Tables

  • Table 1 Global Electrical Digital Twin Market Outlook, By Region (2022-2030) ($MN)
  • Table 2 Global Electrical Digital Twin Market Outlook, By Type (2022-2030) ($MN)
  • Table 3 Global Electrical Digital Twin Market Outlook, By Digital Grid (2022-2030) ($MN)
  • Table 4 Global Electrical Digital Twin Market Outlook, By Digital Wind Farm (2022-2030) ($MN)
  • Table 5 Global Electrical Digital Twin Market Outlook, By Digital Gas & Steam Power Plant (2022-2030) ($MN)
  • Table 6 Global Electrical Digital Twin Market Outlook, By Distributed Energy Resources (2022-2030) ($MN)
  • Table 7 Global Electrical Digital Twin Market Outlook, By Digital Hydropower Plant (2022-2030) ($MN)
  • Table 8 Global Electrical Digital Twin Market Outlook, By Other Types (2022-2030) ($MN)
  • Table 9 Global Electrical Digital Twin Market Outlook, By Component Type (2022-2030) ($MN)
  • Table 10 Global Electrical Digital Twin Market Outlook, By Sensors (2022-2030) ($MN)
  • Table 11 Global Electrical Digital Twin Market Outlook, By Actuators (2022-2030) ($MN)
  • Table 12 Global Electrical Digital Twin Market Outlook, By Control Systems (2022-2030) ($MN)
  • Table 13 Global Electrical Digital Twin Market Outlook, By Communication Modules (2022-2030) ($MN)
  • Table 14 Global Electrical Digital Twin Market Outlook, By Software Platforms (2022-2030) ($MN)
  • Table 15 Global Electrical Digital Twin Market Outlook, By Technology (2022-2030) ($MN)
  • Table 16 Global Electrical Digital Twin Market Outlook, By Cloud Computing and Edge Computing (2022-2030) ($MN)
  • Table 17 Global Electrical Digital Twin Market Outlook, By Artificial Intelligence (2022-2030) ($MN)
  • Table 18 Global Electrical Digital Twin Market Outlook, By Augmented Reality (AR) (2022-2030) ($MN)
  • Table 19 Global Electrical Digital Twin Market Outlook, By Machine Learning (2022-2030) ($MN)
  • Table 20 Global Electrical Digital Twin Market Outlook, By Other Technologies (2022-2030) ($MN)
  • Table 21 Global Electrical Digital Twin Market Outlook, By Application (2022-2030) ($MN)
  • Table 22 Global Electrical Digital Twin Market Outlook, By Predictive Maintenance (2022-2030) ($MN)
  • Table 23 Global Electrical Digital Twin Market Outlook, By Performance Optimization (2022-2030) ($MN)
  • Table 24 Global Electrical Digital Twin Market Outlook, By Asset Management (2022-2030) ($MN)
  • Table 25 Global Electrical Digital Twin Market Outlook, By Process Optimization (2022-2030) ($MN)
  • Table 26 Global Electrical Digital Twin Market Outlook, By Other Applications (2022-2030) ($MN)
  • Table 27 Global Electrical Digital Twin Market Outlook, By End User 2022-2030) ($MN)
  • Table 28 Global Electrical Digital Twin Market Outlook, By Energy & Utilities (2022-2030) ($MN)
  • Table 29 Global Electrical Digital Twin Market Outlook, By Manufacturing (2022-2030) ($MN)
  • Table 30 Global Electrical Digital Twin Market Outlook, By Automotive (2022-2030) ($MN)
  • Table 31 Global Electrical Digital Twin Market Outlook, By Aerospace & Defense (2022-2030) ($MN)
  • Table 32 Global Electrical Digital Twin Market Outlook, By Healthcare (2022-2030) ($MN)
  • Table 33 Global Electrical Digital Twin Market Outlook, By Retail (2022-2030) ($MN)
  • Table 34 Global Electrical Digital Twin Market Outlook, By Other End Users (2022-2030) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.