市场调查报告书
商品编码
1622341
电气数位双胞胎市场规模、份额、成长分析、按孪生类型、按使用类型、按部署类型、按应用、按最终用户、按地区 - 行业预测,2024-2031 年Electrical Digital Twin Market Size, Share, Growth Analysis, By Twin Type, By Usage Type, By Deployment Type, By Application, By End-User, By Region - Industry Forecast 2024-2031 |
到2023年,电动数位双胞胎市场规模将为129亿美元,从2024年的175.8亿美元增长到2032年的1655.8亿美元,预测期内(2025-2032年)复合年增长率为36.3%。展望。
由于对即时资料管理和主动维护的需求不断增加,尤其是在医疗保健领域,电气数位双胞胎市场预计将成长。这些虚拟模型随着持续的即时资料更新而不断发展,并由模拟、机器学习和推理提供支持,为公共产业决策流程提供动力。对开发、研究和测试的大量投资预计会产生经济回报,但随着市场的发展,大公司最初可能只能获得微薄的利润。系统内部的复杂性仍然是阻碍扩展的关键挑战。也就是说,接受部署数位双胞胎应用程式的先进技术预计将为市场相关人员带来重大利益。预测性维护正在成为一种有价值的应用程序,可以儘早发现故障并做出明智的决策,以防止营运停机。
Electrical Digital Twin Market size was valued at USD 12.9 Billion in 2023 and is poised to grow from USD 17.58 Billion in 2024 to USD 165.58 Billion by 2032, growing at a CAGR of 36.3% during the forecast period (2025-2032).
The electrical digital twin market is poised for growth, driven by rising demand for real-time data management and proactive maintenance, particularly in the healthcare sector. These virtual models, evolving through continuous real-time data updates and leveraging simulation, machine learning, and reasoning, enhance decision-making processes for utilities. Although significant investment in development, research, and testing is anticipated to yield financial returns, major players may experience minimal profits initially as the market evolves. Complexity within systems remains a key challenge that could hinder expansion. Nevertheless, the acceptance of advanced technologies for deploying digital twin applications is expected to greatly benefit market stakeholders. Predictive maintenance emerges as a valuable application, enabling early failure detection and informed decision-making to prevent operational downtime.
Top-down and bottom-up approaches were used to estimate and validate the size of the Electrical Digital Twin market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.
Electrical Digital Twin Market Segmental Analysis
Global Electrical Digital Twin Market is segmented by twin type, usage type, deployment type, application, end-user and region. Based on twin type, the market is segmented into gas & steam power plant, wind farm, digital grid and others. Based on usage type, the market is segmented into product digital twin, process digital twin and system digital twin. Based on deployment type, the market is segmented into cloud and on-premises. Based on application, the market is segmented into asset performance management, business and operations optimization, cybersecurity testing, fault detection, predictive maintenance and performance optimization. Based on end-user, the market is segmented into utilities, grid operators, power generation companies and others. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & Africa.
Driver of the Electrical Digital Twin Market
The growth of the Electrical Digital Twin market is significantly driven by the integration of variable renewable energy sources and the decentralization of distributed energy resources (DER). Electrical digital twins enable grid operators to simulate crucial operational scenarios, facilitating reliable, efficient, and secure planning, operation, and maintenance of electrical systems. The increasing decentralization of DER presents challenges for grid management, necessitating faster and more efficient solutions. Electrical digital twins provide utilities and grid operators with the tools to monitor, regulate, automate, and manage power networks effectively. By aiding in the planning and analysis of grid modernization efforts, these digital twins streamline DER interconnection processes, enhance customer service, enable cost-effective investments, and boost operational efficiency.
Restraints in the Electrical Digital Twin Market
One of the primary constraints in the Electrical Digital Twin market is the inherent complexity of systems and the challenge of obtaining accurate mathematical models. For a digital twin to effectively replicate the physical attributes and simulate the behaviors of both simple and intricate objects, it must encapsulate their interrelations seamlessly. This process is further complicated by the requirement for collaboration among various stakeholders, including facility managers, design and electrical engineers, and equipment suppliers. Additionally, acquiring the necessary asset data from suppliers often involves intricate coordination across multiple supply chain stages, and maintaining the essential connectivity within the supply chain can pose another significant hurdle. The complexity of the real-world objects that need to be modeled adds another layer of difficulty to the implementation of electrical digital twins.
Market Trends of the Electrical Digital Twin Market
The Electrical Digital Twin market is witnessing significant growth driven by the escalating need for real-time data analytics in industries such as healthcare and the rising application of digital twins for proactive maintenance, aimed at reducing unplanned downtimes. However, the increasing complexity of systems presents a notable challenge. Furthermore, the growing adoption of advanced technologies in the deployment of digital twin applications is contributing to market dynamics. Over the forecast period, these factors are expected to create lucrative opportunities within the market, amplifying its expansion and solidifying the role of digital twins in enhancing operational efficiencies across various sectors.