Electrical Digital Twin Market Forecasts to 2028 – Global Analysis By Twin Type (Digital Grid, Digital Wind Farm, Digital Gas & Steam Power Plant, Distributed Energy Resources and Digital Hydropower Plant), Usage Type (Process Digital Twin, Product Digital Twin and System Digital Twin), Deployment Type (Cloud and On-Premises), Application, End User, and By Geography
According to Stratistics MRC, the Global Electrical Digital Twin Market is accounted for $1,667.9 million in 2022 and is expected to reach $3,798.0 million by 2028 growing at a CAGR of 14.7% during the forecast period. The Electrical Digital Twin allows utilities to streamline data upkeep and interchange. Data from disparate systems is synchronised and then standardised into a single multi-user database using standards-based adapters or interfaces. The accuracy of a single source of truth for data is one of the key aspects of the electrical digital twin. Scalable data maintenance and interchange throughout the IT ecosystem, vendor-neutral and standards-based, as well as spans transmission and dissemination for integrated analysis.
According to the International Energy Agency, the share of renewable in global electricity generation was 29% in 2020 compared with 27% in 2019. Renewable electricity generation is expected to grow by 8% to reach 8,300 TWh in 2021.
Market Dynamics:Driver:Variable renewable energy integration and decentralisation of dispersed energy resources
Grid operators can use electrical digital twins to simulate operational scenarios pertinent to the dependable, efficient, and secure planning, operation, and repair of electrical systems. The decentralisation of distributed energy resources (DER) complicates grid operation and maintenance. As a result, utilities and grid operators demand more efficient and speedier technologies, such as electrical digital twins, to monitor, control, automate, and run their power networks. Electrical digital twins can help with the difficulties of grid modernization projects, notably DER integration. These devices aid in assessing the impact of DER and facilitating grid modernization planning, analysis, and design procedures. As a result, utilities may shorten the process of integrating DER, improving customer response time, facilitating cost-effective investments, and increasing operational efficiency thereby encouraging the growth of the market.
Restraint:System complexity and the availability of precise mathematical models
Despite the obvious advantages, some utilities and grid operators have yet to implement a digital twin model for asset management as well as business and operation optimisation. A digital twin should be capable of modelling both basic and complex items and their interactions by properly capturing physical features and mimicking behaviours. For example, the construction of an electrical digital twin necessitates many inputs from operators such as facility managers, design engineers, electrical engineers, equipment vendors, and other stakeholders, which adds to the deployment's complexity. Obtaining asset data from the supplier may be difficult since it necessitates tight engagement with different layers of the supply chain.
Opportunity:Energy 4.0 and the application of innovative technologies
Many electric utilities around the world have begun to incorporate the Industrial Internet of Things (IIoT), machine learning, artificial intelligence (AI), and cloud computing into their operations for asset performance monitoring and management, smart metering, predictive and prescriptive maintenance, the operation and automation of distributed energy resources (DER), and the planning and analysis of fluctuations in decentralised renewable generation systems. A digital twin allows utilities to anticipate, predict, and analyse numerous power production, transmission, and distribution models, as well as renewable energy integration scenarios, allowing them to continually adapt their operations to meet the rising demand for electricity. These technologies improve the application of electrical digital twin solutions in utilities and are in the early phases of incorporation into digital twin system modelling.
Threat:Stakeholders support for deployment is limited.
Despite the numerous advantages of electrical digital twins, some underlying issues must be addressed before digital twin systems can fully realise their potential. For example, specialists in the power industry think that encouraging early digital adoption by utilities and power system operators is critical. Many power sector stakeholders initially resisted adoption due to perceived risks associated with the complexity of digital twin deployment, potential upfront costs, and uncertainty about successful outcomes following their integration.
Covid-19 Impact
COVID-19 has dealt a serious blow to the world economy and the energy industry, disrupting supply chains and squeezing demand. Several challenges faced the power sector, including reduced and remote workforces, decreased commercial energy demand, increased customer calls, and the use of digital and self-service channels during lockdowns. Because of these issues, utilities and grid operators have been pushed to increase digitization, automation, and decentralisation of their operations. The shift in working habits caused by COVID-19-induced constraints has strengthened utilities and grid operator’s digital transformation activities. Increased investments in digital solutions, such as electrical digital twins, would allow businesses to maintain resilient supply chains and operations.
The digital gas & steam power plant segment is expected to be the largest during the forecast period
The digital gas & steam power plant segment is estimated to have a lucrative growth, due to gradually integrating digital twins of gas and steam power plants in order to cut emissions and fuel consumption of gas and steam turbine assets. Through performance management, digital twins of gas and steam power plants can also help operators optimise their strategies, improve machine and equipment health, and increase reliability. Furthermore, gas and steam power plants require more maintenance than power generation facilities. Through demand and outage planning, a digital twin of the gas and steam system may assist the operator in improving asset dependability and availability, as well as optimising maintenance operations and costs.
The system digital twin segment is expected to have the highest CAGR during the forecast period
The system digital twin segment is anticipated to witness the highest CAGR growth during the forecast period, due to because of the necessity for network-level optimisation; the system digital twin sector is likely to dominate the worldwide electrical digital twin market. The digital twin of a system is a set of goods and processes that execute system or network-wide functions. It may be used to power substations, power plants, wind farms, and distributed energy resources. Based on real operating data, the system twin gives visibility into a group of interdependent equipment as well as a linked perspective of the end-to-end network of assets which drives the market.
Region with highest share:
North America is projected to hold the highest market share during the forecast period owing to its simple access and adaptability to sophisticated power solutions, as well as the availability of innovative generation facilities. Increasing power consumption and demand, along with the establishment of bulk manufacturing locations in this region are propelling the growth of the market.
Region with highest CAGR:Asia-Pacific is projected to have the highest CAGR over the forecast period, owing to dense population, rising per capita income as a result of large-scale industrialization and urbanisation, and increased adoption of internet of things (IoT). Furthermore, resources professionals and suppliers of technology have begun to refer to this trend as Energy 4.0 to emphasise the enormity of the technological change that these advancements will bring to the electrical power industry.
Key players in the market
Some of the key players profiled in the Electrical Digital Twin Market include Siemens, General Electric, AVEVA Group, Emerson, Wipro, SAP, Bentley Systems, Etteplan, CPD Services, ABB, Schneider Electric, SAS Institute, IBM, Fujitsu, Hexagon PPM, Dassault Systèmes, Microsoft and Robert Bosch GmbH
Key Developments:In April 2023, Siemens LDA and Sulzer announce digital collaboration bringing together their respective IoT-platforms and services, BLUE BOX™ and SIDRIVE IQ, the two companies are collaborating to deliver an integrated solution that improves equipment reliability and cuts operations costs.
In April 2023, Siemens consortium partners with Gujarat Metro Rail Corporation for advanced rail electrification technologies, Contracts include state-of-the-art rail electrification technologies for the Ahmedabad Metro Phase 2 and the Surat Metro Phase 1.
In April 2023, GE Digital Partners With Aeroxchange to Digitize Commercial Parts Receiving Process, The integration of GE Digital’s Asset Records software with Aeroxchange’s cloud-based products is designed to streamline document management and improve efficiency.
Twin Types Covered:
• Digital Grid
• Digital Wind Farm
• Digital Gas & Steam Power Plant
• Distributed Energy Resources
• Digital Hydropower Plant
Usage Types Covered:
• Process Digital Twin
• Product Digital Twin
• System Digital Twin
Deployment Types Covered:
• Cloud
• On-Premises
Applications Covered:
• Asset Performance Management
• Business & Operations Optimization
• Digital Twin Aggregate
End Users Covered:
• Utilities
• Grid Infrastructure Operators
Regions Covered:
• North America
o US
o Canada
o Mexico
• Europe
o Germany
o UK
o Italy
o France
o Spain
o Rest of Europe
• Asia Pacific
o Japan
o China
o India
o Australia
o New Zealand
o South Korea
o Rest of Asia Pacific
• South America
o Argentina
o Brazil
o Chile
o Rest of South America
• Middle East & Africa
o Saudi Arabia
o UAE
o Qatar
o South Africa
o Rest of Middle East & Africa
What our report offers:- Market share assessments for the regional and country-level segments
- Strategic recommendations for the new entrants
- Covers Market data for the years 2020, 2021, 2022, 2025, and 2028
- Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
- Strategic recommendations in key business segments based on the market estimations
- Competitive landscaping mapping the key common trends
- Company profiling with detailed strategies, financials, and recent developments
- Supply chain trends mapping the latest technological advancements