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시장보고서
상품코드
1622341
세계의 전기 디지털 트윈 시장 - 규모, 점유율, 성장 분석 : 트윈 유형별, 사용 유형별, 전개 유형별, 용도별, 최종 사용자별, 지역별 산업 예측(2024-2031년)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 |
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전기 디지털 트윈 시장 규모는 2023년 129억 달러로 예측 기간 중(2025-2032년) CAGR은 36.3%로 2024년 175억 8,000만 달러에서 2032년에는 1,655억 8,000만 달러로 성장할 전망입니다.
전기 디지털 트윈 시장은 특히 건강 관리 분야에서 실시간 데이터 관리와 사전 활성 유지 보수에 대한 수요가 증가함에 따라 성장이 예상됩니다. 그리고 시뮬레이션, 머신러닝, 추론을 활용한 이러한 가상 모델은 유틸리티의 의사 결정 프로세스를 강화합니다. 시장이 발전함에 따라, 대기업은 처음에는 약간의 이익만을 얻을 수 있을 것입니다. 하지만 첨단 기술 도입됨에 따라 시장 이해 관계자에게 큰 이익이 생길 것으로 예상됩니다.
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.