市场调查报告书
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1276298
电力数字孪生的全球市场规模,份额和行业趋势分析报告:按最终用户,按应用(资产绩效管理,业务和运营优化),按类型,按地区,展望和预测,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 |
电力数字孪生市场规模预计将在 2029 年达到 18 亿美元,在预测期内以 12.2% 的复合年增长率增长。
安装智能仪表和传感器可以收集、存储、分析数据并将其开发为数字孪生体,从而建立了这一信息层。 在虚拟现实、人工智能、物联网、机器学习和其他新兴技术的帮助下,电力系统和公用事业运营商将能够探索数字孪生生成的数据集的庞大数量和多样化结构。这是理所当然的。
此分析可用于多项任务,例如无缝电錶问题检测、维护需求预测、可持续能源质量监测和可再生能源预测。 此外,机器学习和人工智能 (AI) 可以自动为电网运营商提供洞察力,以改善业务成果。
COVID-19 影响分析
COVID-19 的爆发对全球经济和能源行业造成了致命打击,扰乱了供应链并抑制了需求。 电力行业面临多项挑战,包括劳动力减少、远程工作、商业能源需求减少、客户查询增加以及锁定期间数字或自助服务的使用。底部。 这些挑战迫使公用事业和电网运营商加速其运营的自动化、数字化和分散化。 COVID-19 相关限制带来的工作习惯改变加速了公用事业和输电线路运营商向数字业务的转型。 因此,市场从 COVID-19 的传播中受益匪浅。
市场增长因素
可再生能源的可变性和使用数字孪生的 DER 分散
公用事业和电网运营商需要更快、更有效的解决方案,例如电力数字双胞胎,以监控、协调、自动化和运营他们的电力网络。 电网现代化计划带来的挑战,尤其是 DER 集成,可以通过电力数字双胞胎来解决。 这些工具有助于电网现代化进程和 DER 影响评估的规划、分析和开发。 因此,公用事业可以简化 DER 互连程序,从而实现更快的客户响应时间、更具成本效益的投资和更高的运营效率。 因此,预计电力数字孪生市场在预测期内将出现显着增长。
能源 4.0 的到来支持增长
世界各地的公用事业正在采用机器学习、人工智能、物联网 (IIoT)、云计算、预测性和规范性维护、智能仪表、资产性能监控和管理、分布式能源 (DER) 自动化和分布式可再生能源发电系统的可变性分析。 通过部署电力数字双胞胎,公用事业公司将能够主动预测、评估和优化不同的输电、发电、配电模式和可再生能源整合方案。
市场製约因素
系统复杂性和对准确模型的访问
数字孪生应该提供有关设备故障模式的信息,以便预测故障。 当对设备、资产和运营进行调整时,维护数字孪生变得更加困难。 对物理系统的任何更改都需要对其数字模型和算法进行等效调整。 对某些场景建模,例如在机器级别安装新零件或更改操作级别,可能不准确,因此出错的可能性可能会随着复杂级别的增加而增加。 由于这些问题,目前的情况是电力数字孪生的普及在电力行业没有进展。
按类型划分的前景
电力数字孪生市场按类型分为产品数字孪生、过程数字孪生和系统数字孪生。 2022 年,系统数字孪生细分市场在电力数字孪生市场中的收入份额最大。 这背后是网络层面优化的需求。 一组协同工作以执行系统或网络范围任务的项目和程序构成了系统数字孪生体。 变电站、风电场、发电厂、分布式能源等是可以使用该技术进行激励的系统和网络的一些示例。
使用展望
电力数字孪生市场按应用分为两个部分:资产绩效管理和业务与运营优化。 企业使用数字孪生来评估物理资产在一定条件下的性能或实时监控资产性能。 通过使用连接到实际资产的传感器的数据,可以创建可靠的故障模型。 预计许多公司开发的大量商业数字孪生软件将越来越多地推动该领域的市场增长。
最终用户视角
按最终用户划分,电力数字孪生市场分为公用事业和电网基础设施运营商。 到 2022 年,公用事业部门将在电力数字孪生市场中占据最高的收入份额。 更多地使用可再生能源和尖端数字技术正在促进这一领域的扩张。 为了建立强大的长期资产管理和业务战略并最大限度地降低运营成本,公用事业公司正在投资部署电力数字孪生模型。 这些双胞胎可以实时分析和可视化数据。
区域展望
按地区划分,分析了北美、欧洲、亚太地区和 LAMEA 的电力数字孪生市场。 到 2022 年,北美地区将以最大的收入份额引领电力数字孪生市场。 北美市场的开放是由越来越多的投资推动,采用尖端数字技术更新老化的发电和配电基础设施。 此外,推动电力数字孪生等数字技术投资的两个关键方面是对清洁可靠能源不断增长的需求以及对可再生能源发电的关注。
合作伙伴关係是市场进入者采取的主要策略。 根据 Cardinal Matrix 的分析,微软公司是电子数字孪生市场的先驱。 Siemens AG、Schneider Electric SE 和 IBM Corporation 等公司是电气数字孪生市场的主要创新者。
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