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市場調査レポート
商品コード
1276298
電力向けデジタルツインの世界市場規模、シェア、産業動向分析レポート:エンドユーザー別、用途別(資産パフォーマンス管理、ビジネス&オペレーション最適化)、タイプ別、地域別展望・予測、2023年~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 |
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電力向けデジタルツインの世界市場規模、シェア、産業動向分析レポート:エンドユーザー別、用途別(資産パフォーマンス管理、ビジネス&オペレーション最適化)、タイプ別、地域別展望・予測、2023年~2029年 |
出版日: 2023年04月28日
発行: KBV Research
ページ情報: 英文 228 Pages
納期: 即納可能
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電力向けデジタルツイン市場規模は、2029年には18億米ドルに達し、予測期間中にCAGR12.2%の市場成長率で上昇すると予測されています。
データの収集、保存、分析、デジタルツインの開発を可能にするスマートメーター&センサーの設置は、この情報レイヤーを確立します。電力システムおよびユーティリティ事業者は、バーチャルリアリティ、AI、IoT、機械学習、その他の新技術の助けを借りて、デジタルツインが生成するデータセットの膨大な量と多様な構造を調べることができるようになるはずです。
この分析は、メーターのシームレスな問題検出、メンテナンス要件の予測、持続可能なエネルギーの品質監視、再生可能エネルギーの予測など、いくつかのタスクに活用することができます。さらに、機械学習と人工知能(AI)は、電力系統事業者に自動的に洞察を提供し、ビジネス成果を高めることができます。
COVID-19の影響分析
COVID-19の発生は、世界経済&エネルギー業界に致命的な打撃を与え、供給網を混乱させ、需要を抑制しました。電力業界は、労働人口の減少や遠隔地での勤務、商業用エネルギー需要の減少、顧客からの問い合わせの増加、ロックダウンの中でのデジタルまたはセルフサービスの利用など、いくつかの困難に直面しました。ユーティリティや送電網の運営会社は、こうした困難の中で、業務の自動化、デジタル化、分散化を加速させる必要に迫られました。COVID-19に関連する制限によってもたらされた労働習慣の変化は、ユーティリティや送電線事業者のデジタルビジネスへの転換を加速させました。このように、COVID-19の普及によって、市場は大きな利益を得ています。
市場の成長要因
デジタルツインを活用した再生可能エネルギーの可変化とDERの分散化
ユーティリティやグリッド事業者は、電力ネットワークの監視、調整、自動化、運営を行うために、電力向けデジタルツインのような、より迅速で効果的なソリューションを必要としています。グリッドの近代化計画、特にDERの統合がもたらす課題は、電力向けデジタルツインによって解決することができます。これらのツールは、グリッド近代化プロセスの計画、分析、開発、およびDERの影響評価を支援します。その結果、ユーティリティはDERの相互接続手続きを簡素化することができ、顧客対応時間の短縮、費用対効果の高い投資の実現、経営効率の向上が可能になります。このことから、電力向けデジタルツイン市場は、予測期間中に大きな成長を遂げるものと思われます。
成長を支えるエネルギー4.0の到来
世界のユーティリティは、機械学習、AI、モノのインターネット(IIoT)、クラウドコンピューティングなどの先進技術を採用し、予測・処方的メンテナンス、スマートメータ、資産性能監視・管理、分散型エネルギー資源(DER)の自動化、分散型再生可能発電システムの変動分析などの機能を強化しています。電力向けデジタルツインを導入することで、ユーティリティはさまざまな送電、発電、配電モデル、再生可能エネルギー統合シナリオを事前に予測、評価、最適化できるようになります。
市場抑制要因
システムの複雑さと正確なモデルへのアクセス
デジタルツインは、故障を予測するために、機器の故障モードに関する情報を提供する必要があります。デジタルツインを維持することは、機器、資産、運用状況に調整がある場合、より困難になります。物理的なシステムに変更があれば、そのデジタルモデルやアルゴリズムにも同等の調整が必要になります。機械レベルでの新しい部品の取り付けや運用レベルの変更など、一部のシナリオのモデリングは正確でない可能性があるため、複雑なレベルが上がるにつれてエラーの可能性が高まるかもしれません。このような問題から、電力業界では電力向けデジタルツインの普及が進んでいないのが現状です。
タイプ別展望
電力向けデジタルツイン市場は、タイプ別に製品デジタルツイン、プロセスデジタルツイン、システムデジタルツインに分類されます。システムデジタルツインセグメントは、2022年の電力向けデジタルツイン市場で最大の収益シェアを記録しました。ネットワークレベルの最適化の必要性がその背景にあります。システムまたはネットワーク全体のタスクを実行するために一緒に動作する物品と手順のグループは、システムデジタルツインを構成します。変電所、風力発電所、発電所、分散型エネルギー資源などは、この技術を使って刺激することができるシステムやネットワークのいくつかの例です。
用途の展望
電力向けデジタルツイン市場は、用途別に資産パフォーマンス管理、ビジネス&オペレーション最適化の2つに分類されます。企業は、デジタルツインを使用して、状況下で物理的な資産の性能を評価したり、リアルタイムで資産の性能を監視したりします。実際の資産に取り付けられたセンサーからのデータを使用することで、信頼性の高い故障モデルを作成することができます。多くの企業によって開発された膨大な数の商用デジタルツインソフトウェアが、この分野の市場成長をますます後押しすると推定されます。
エンドユーザーの展望
エンドユーザー別に見ると、電力向けデジタルツイン市場はユーティリティとグリッドインフラ事業者に分けられます。2022年の電力向けデジタルツイン市場では、ユーティリティ分野が最も高い収益シェアを占めています。再生可能エネルギー源の利用拡大や最先端のデジタル技術が、このセグメントの拡大の要因となっています。強力な長期資産管理と事業戦略を確立し、運用コストを最小化するために、複数のユーティリティが電力向けデジタルツインの導入に投資しています。これらのツインは、リアルタイムでデータを分析・可視化することができます。
地域別の展望
地域別に見ると、電力向けデジタルツイン市場は、北米、欧州、アジア太平洋、LAMEAで分析されています。2022年、北米地域は最大の収益シェアを獲得し、電力向けデジタルツイン市場をリードしました。北米市場の開拓は、老朽化した発電および配電インフラを更新するために最先端のデジタル技術を採用するために行われている投資の増加によって促進されます。さらに、電力向けデジタルツインのようなデジタル技術への投資を促す2つの重要な側面として、クリーンで信頼性の高いエネルギーへの需要の高まりと再生可能エネルギー発電の重視が挙げられます。
市場参入企業がとる主な戦略は、パートナーシップです。カーディナルマトリックスで示された分析によると、マイクロソフト株式会社がエレクトリカルデジタルツイン市場の先駆者です。Siemens AG、Schneider Electric SE、IBM Corporationなどの企業は、Electrical Digital Twin市場における主要なイノベーターです。
List of Figures
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