市場調查報告書
商品編碼
1276298
電力數字孿生的全球市場規模,份額和行業趨勢分析報告:按最終用戶,按應用(資產績效管理,業務和運營優化),按類型,按地區,展望和預測,2023-2029年Global Electrical Digital Twin Market Size, Share & Industry Trends Analysis Report By End User, By Application (Asset Performance Management and Business & Operations Optimization), By Type, By Regional Outlook and Forecast, 2023 - 2029 |
電力數字孿生市場規模預計將在 2029 年達到 18 億美元,在預測期內以 12.2% 的複合年增長率增長。
安裝智能儀表和傳感器可以收集、存儲、分析數據並將其開發為數字孿生體,從而建立了這一信息層。 在虛擬現實、人工智能、物聯網、機器學習和其他新興技術的幫助下,電力系統和公用事業運營商將能夠探索數字孿生生成的數據集的龐大數量和多樣化結構。這是理所當然的。
此分析可用於多項任務,例如無縫電錶問題檢測、維護需求預測、可持續能源質量監測和可再生能源預測。 此外,機器學習和人工智能 (AI) 可以自動為電網運營商提供洞察力,以改善業務成果。
COVID-19 影響分析
COVID-19 的爆發對全球經濟和能源行業造成了致命打擊,擾亂了供應鏈並抑制了需求。 電力行業面臨多項挑戰,包括勞動力減少、遠程工作、商業能源需求減少、客戶查詢增加以及鎖定期間數字或自助服務的使用。底部。 這些挑戰迫使公用事業和電網運營商加速其運營的自動化、數字化和分散化。 COVID-19 相關限制帶來的工作習慣改變加速了公用事業和輸電線路運營商向數字業務的轉型。 因此,市場從 COVID-19 的傳播中受益匪淺。
市場增長因素
可再生能源的可變性和使用數字孿生的 DER 分散
公用事業和電網運營商需要更快、更有效的解決方案,例如電力數字雙胞胎,以監控、協調、自動化和運營他們的電力網絡。 電網現代化計劃帶來的挑戰,尤其是 DER 集成,可以通過電力數字雙胞胎來解決。 這些工具有助於電網現代化進程和 DER 影響評估的規劃、分析和開發。 因此,公用事業可以簡化 DER 互連程序,從而實現更快的客戶響應時間、更具成本效益的投資和更高的運營效率。 因此,預計電力數字孿生市場在預測期內將出現顯著增長。
能源 4.0 的到來支持增長
世界各地的公用事業正在採用機器學習、人工智能、物聯網 (IIoT)、雲計算、預測性和規範性維護、智能儀表、資產性能監控和管理、分佈式能源 (DER) 自動化和分佈式可再生能源發電系統的可變性分析。 通過部署電力數字雙胞胎,公用事業公司將能夠主動預測、評估和優化不同的輸電、發電、配電模式和可再生能源整合方案。
市場製約因素
系統複雜性和對準確模型的訪問
數字孿生應該提供有關設備故障模式的信息,以便預測故障。 當對設備、資產和運營進行調整時,維護數字孿生變得更加困難。 對物理系統的任何更改都需要對其數字模型和算法進行等效調整。 對某些場景建模,例如在機器級別安裝新零件或更改操作級別,可能不准確,因此出錯的可能性可能會隨著複雜級別的增加而增加。 由於這些問題,目前的情況是電力數字孿生的普及在電力行業沒有進展。
按類型劃分的前景
電力數字孿生市場按類型分為產品數字孿生、過程數字孿生和系統數字孿生。 2022 年,系統數字孿生細分市場在電力數字孿生市場中的收入份額最大。 這背後是網絡層面優化的需求。 一組協同工作以執行系統或網絡範圍任務的項目和程序構成了系統數字孿生體。 變電站、風電場、發電廠、分佈式能源等是可以使用該技術進行激勵的系統和網絡的一些示例。
使用展望
電力數字孿生市場按應用分為兩個部分:資產績效管理和業務與運營優化。 企業使用數字孿生來評估物理資產在一定條件下的性能或實時監控資產性能。 通過使用連接到實際資產的傳感器的數據,可以創建可靠的故障模型。 預計許多公司開發的大量商業數字孿生軟件將越來越多地推動該領域的市場增長。
最終用戶視角
按最終用戶劃分,電力數字孿生市場分為公用事業和電網基礎設施運營商。 到 2022 年,公用事業部門將在電力數字孿生市場中佔據最高的收入份額。 更多地使用可再生能源和尖端數字技術正在促進這一領域的擴張。 為了建立強大的長期資產管理和業務戰略並最大限度地降低運營成本,公用事業公司正在投資部署電力數字孿生模型。 這些雙胞胎可以實時分析和可視化數據。
區域展望
按地區劃分,分析了北美、歐洲、亞太地區和 LAMEA 的電力數字孿生市場。 到 2022 年,北美地區將以最大的收入份額引領電力數字孿生市場。 北美市場的開放是由越來越多的投資推動,採用尖端數字技術更新老化的發電和配電基礎設施。 此外,推動電力數字孿生等數字技術投資的兩個關鍵方面是對清潔可靠能源不斷增長的需求以及對可再生能源發電的關注。
合作夥伴關係是市場進入者採取的主要策略。 根據 Cardinal Matrix 的分析,微軟公司是電子數字孿生市場的先驅。 Siemens AG、Schneider Electric SE 和 IBM Corporation 等公司是電氣數字孿生市場的主要創新者。
The Global Electrical Digital Twin Market size is expected to reach $1.8 billion by 2029, rising at a market growth of 12.2% CAGR during the forecast period.
The electrical digital twin allows utilities to facilitate the process of data maintenance as well as exchange. An object or system's "digital twin" is essentially a virtual representation that spans its lifecycle, is updated with real-time data, and employs simulation, machine learning, and reasoning to support decision-making. The demand for real-time healthcare services is likely to increase. Predictive maintenance using digital twins is also becoming more popular to prevent unplanned outages.
Additionally, it is anticipated that the market will increase during the projected period due to the increasing acceptance of advanced technologies for implementing digital twin applications. By adding an information layer to smart grids, AI makes it possible for utilities and consumers to communicate with each other via electrical networks. In addition, this layer enables interaction between the various grid parts so they can better react to sudden changes in energy demand or emergencies.
Installing smart meters & sensors, which enable data collecting, storage, analysis, and the development of a digital twin, establishes this information layer. Power system and utility operators should be able to examine the sizable amount and varied structure of the datasets produced by digital twins with the aid of virtual reality, AI, IoT, machine learning, and other emerging technologies.
This analysis can be utilized for several tasks, such as seamless problem detection in meters, anticipatory maintenance requirements, quality monitoring of sustainable energy, and forecasting for renewable energy. Additionally, machine learning and artificial intelligence (AI) can automatically provide insights to power system operators and enhance business outcomes.
COVID-19 Impact Analysis
The COVID-19 outbreak has dealt a fatal blow to the world economy & the energy industry, upsetting supply networks and stifling demand. The power industry faced several difficulties, including a smaller and more distant workforce, declining commercial energy demand, rising customer calls, and using digital or self-serve channels amid lockdowns. Utility companies and grid operators were compelled by these difficulties to speed up their operations' automation, digitalization, and decentralization. The shift in working habits brought on by COVID-19-related limitations has accelerated utilities' and grid operators' efforts to convert into digital businesses. The market has so greatly profited from COVID-19's widespread use.
Market Growth Factors
Incorporation of variable renewable energy and decentralization of DER using digital twin
In order to monitor, regulate, automate, and run their power networks, utilities, and grid operators need quicker and more effective solutions, such as electrical digital twins. The challenges posed by grid modernization programs, particularly DER integration, can be addressed by electrical digital twins. These tools aid in planning, analyzing, and developing the grid modernization process as well as assessing the impact of DER. As a result, utilities are able to simplify the DER interconnection procedure, which enhances customer response times, makes cost-effective investments possible, and boosts operational effectiveness. In light of this, the electric digital twin market is estimated to witness significant growth during the projection period.
Advent of energy 4.0 supporting growth
Electric utilities globally are adopting advanced technologies such as machine learning, AI, Industrial Internet of Things (IIoT), and cloud computing to enhance their predictive & prescriptive maintenance, smart metering, asset performance monitoring & management, automation of distributed energy resources (DER), and analysis of fluctuations in decentralized renewable generation systems. Implementing an electrical digital twin empowers utility companies to proactively anticipate, evaluate, and optimize various transmission, power generation, and distribution models, as well as renewable energy integration scenarios.
Market Restraining Factors
Complexity in systems and access to accurate models
A digital twin should be supplied with information on equipment failure modes to predict failures. Maintaining the digital duplicate becomes more challenging when there are adjustments to the equipment, assets, or operating status. Any change to the physical system would necessitate equivalent adjustments to its digital model & algorithms. Since modeling some scenarios, such as the installation of new parts at the machine level or operational level modifications, may not be accurate, the likelihood of errors may increase as complexity levels rise. These issues limit many power industry players' widespread use of electrical digital twins.
Type Outlook
By type, the electrical digital twin market is segmented into product digital twin, process digital twin and system digital twin. The system digital twin segment registered the maximum revenue share in the electrical digital twin market in 2022. The necessity for network-level optimization is the reason behind this. A group of goods and procedures that operate together to carry out system- or network-wide tasks make up the system digital twin. Substations, wind farms, power plants, and distributed energy resources are a few examples of systems or networks that can be stimulated using this technique.
Application Outlook
Based on application, the electrical digital twin market is fragmented into asset performance management, and business & operations optimization. Businesses use digital twins to evaluate the performance of their physical assets under circumstances or to monitor the performance of assets in real time. Using data from sensors attached to actual assets enables the creation of reliable failure models. The vast array of commercial digital twin software offerings developed by numerous companies is estimated to increasingly support market growth in this segment.
End User Outlook
On the basis of end user, the electrical digital twin market is divided into utilities and grid infrastructure operators. In 2022, the utilities segment held the highest revenue share in the electrical digital twin market. The increasing use of renewable energy sources and cutting-edge digital technologies is responsible for the segment's expansion. To establish strong long-term asset management and business strategies and minimize operational costs, several utilities have invested in installing electrical digital twins. These twins can analyze and visualize data in real-time.
Regional Outlook
Region wise, the electrical digital twin market is analyzed across North America, Europe, Asia Pacific and LAMEA. In 2022, the North America region led the electrical digital twin market by generating the maximum revenue share. The development of the North American market is fueled by the rise in investments being made to adopt cutting-edge digital technologies to update aging power generation and distribution infrastructure. Additionally, two significant aspects that encourage investments in digital technology like electrical digital twins are the rising demand for clean, dependable energy and the strong emphasis on renewable energy generation.
The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include ABB Group, Emerson Electric Co., General Electric Company, IBM Corporation, Microsoft Corporation, Oracle Corporation, SAP SE, Schneider Electric SE, Siemens AG, and Bentel Systems, Inc.
The major strategies followed by the market participants are Partnerships. Based on the Analysis presented in the Cardinal matrix; Microsoft Corporation is the forerunner in the Electrical Digital Twin Market. Companies such as Siemens AG, Schneider Electric SE, and IBM Corporation are some of the key innovators in Electrical Digital Twin Market.
Recent Strategies Deployed in Electrical Digital Twin Market
Partnerships, Collaborations, and Agreements:
Jan-2023: IBM extended its collaboration with Dassault Systemes, a France-based provider of computer-assisted design software. The collaboration aims at addressing the sustainability challenges faced by asset-intensive industries, by integrating their respective technologies.
Nov-2022: SAP signed an agreement with Schneider Electric, a France-based provider of multiple products including, ground-level equipment, analytics, execution software, etc. The collaboration focuses on IT/OT integration applications. The collaboration with Schneider reflects SAP's support for Industry 4.0.
Jul-2022: Siemens came into partnership with NVIDIA, a US-based designer of discrete graphic processing units. The partnership aims at boosting the deployment of AI-based digital twins through Siemens' Xcelerator tool, and NVIDIA's Omniverse 3D design platform.
Nov-2021: Siemens Digital Industries Software extended its collaboration with Amazon Web Services, a US-based provider of the cloud-based web platform. The collaboration involves integrating Siemens' deep knowledge of the industry, and cloud services offered by AWS to help companies advance digital transformation to the cloud.
Aug-2021: IBM came into collaboration with Black & Veatch, a US-based management consulting firm. The collaboration involves collectively marketing asset performance management (APM) solutions. The collaboration aims at enhancing the performance of assets and increasing their lifetime.
Jun-2021: Schneider Electric teamed up with ETAP, a US-based provider of energy management & engineering solutions. The collaboration focuses on offering end-to-end lifecycle digitalization and improving efficiency, resiliency, and sustainability to an expanded customer base. Further, through this collaboration with ETAP, the company is able to equip its customers and partners with new tools to make more informed and better decisions.
Apr-2021: SAP extended its partnership with Siemens Digital Industries Software. The expansion of the partnership allows both companies to offer solutions intended for the service and asset lifecycle. Further, this partnership supports their customers in advancing Industry 4.0.
Acquisitions and Mergers:
Jan-2022: Schneider Electric took over Zeigo, a UK-based operator of energy technology platforms. The addition of Zeigo perfectly complements the acquiring company's existing digital energy solution, and further accelerates the company's vision to transform digital energy.
May-2021: IBM took over myInvenio, an Italy-based provider of process mining software. The acquisition benefits organizations by equipping them with data-driven software that possesses the capacity to recognize the business processes to automate through artificial intelligence.
Product Launches and Expansions:
Feb-2023: ABB added cloud-enabled functionality to its RobotStudio robot programming and simulation software. Through this product expansion, the company aims to enable transparency, real-time collaboration, and flexibility, during the test phase of virtual robot cell designs. The RobotStudio Cloud works with any device, and reduces time, as well as costs.
Jun-2022: Siemens introduced Siemens Xcelerator. Siemens Xcelerator is an open digital business platform, that supports accelerating digital transformation and value addition for organizations of all sizes, across multiple verticles including industry, grids, mobility, and buildings.
May-2022: Schneider Electric unveiled EcoStruxure Machine Expert Twin, a digital twin software solution intended to manage the entire machine lifecycle including sales, design, concept, operation, and manufacturing. The new solution allows OEMs to design models of real machines. Further, the new software solution digitizes all the processes, resulting in decreased factory acceptance testing (FAT).
Market Segments covered in the Report:
By End User
By Application
By Type
By Geography
Companies Profiled
Unique Offerings from KBV Research
List of Figures