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市場調査レポート
商品コード
1622341
電気デジタルツイン市場規模、シェア、成長分析、ツインタイプ別、使用タイプ別、展開タイプ別、用途別、エンドユーザー別、地域別 - 産業予測、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 |
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電気デジタルツイン市場規模、シェア、成長分析、ツインタイプ別、使用タイプ別、展開タイプ別、用途別、エンドユーザー別、地域別 - 産業予測、2024~2031年 |
出版日: 2024年12月21日
発行: SkyQuest
ページ情報: 英文 203 Pages
納期: 3~5営業日
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電気デジタルツイン市場規模は2023年に129億米ドルとなり、予測期間(2025-2032年)のCAGRは36.3%で、2024年の175億8,000万米ドルから2032年には1,655億8,000万米ドルに成長する見通しです。
電気デジタルツイン市場は、特にヘルスケア分野におけるリアルタイムのデータ管理とプロアクティブメンテナンスに対する需要の高まりによって、成長が見込まれています。継続的なリアルタイムデータ更新によって進化し、シミュレーション、機械学習、推論を活用したこれらの仮想モデルは、公益事業の意思決定プロセスを強化します。開発、研究、テストへの多大な投資が経済的リターンをもたらすと予想されるが、市場が発展するにつれ、大手企業は当初、わずかな利益しか得られないかもしれないです。システム内の複雑さは、拡大を妨げる可能性のある重要な課題として残っています。とはいえ、デジタルツインアプリケーションを展開するための先進技術が受け入れられることで、市場利害関係者に大きな利益がもたらされると予想されます。故障予知保全は、故障の早期発見と情報に基づく意思決定を可能にし、操業停止を防ぐ貴重なアプリケーションとして浮上しています。
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.