The global self-healing grid market will grow at a CAGR of 21.01% from USD 3.8 billion in 2025 to USD 10.1 billion in 2030.
The increasing requirement for automation and smart solutions and technologies is due to improving industry standards and the rising concerns among the industry players to reduce overall costs.
The industry standards are improving, and the product and solution requirements of the different industries are also rising, which is encouraging companies to provide automated solutions with recent technologies to deal with problems effectively. The power distribution grid, which is responsible for the management of power and controls the distribution and transmission of power, is also facing different challenges as the infrastructure gets older.
Moreover, there are rising concerns among power grid companies and owners to adopt eco-friendly, energy-saving, and cost-saving automation solutions to minimize the burden of maintenance and labor costs. Also, as other power sources are being integrated into the distribution and power grid systems, such as thermal power and solar power among others, the end-users are struggling to adhere to the industry standards and regulations and adopt self-healing solutions. Therefore, these factors are causing the market’s growth to propel over the forecast period.
Demand for renewable energy sources
The increasing adoption of renewable energy, especially from sources like wind and solar, poses challenges due to their intermittent nature. In 2021, renewables accounted for 28% of electricity production, a figure expected to rise to 30.2% in 2023. Notably, by 2024, the combined electricity generation from wind and solar PV is projected to surpass that from hydropower, as reported by iea.org. The intermittent nature of these renewable sources necessitates innovative solutions.
Self-healing grids, equipped with advanced data analytics and control systems, emerge as crucial in effectively integrating these volatile energy sources. Through dynamic adjustments in grid operations and optimization of energy flow, self-healing grids facilitate a smoother transition to a low-carbon future. This capability addresses the challenges posed by the intermittency of renewable energy, ensuring a more stable and resilient energy infrastructure.
The viability of self-healing grids during natural occurrences
The viability of self-healing grids during natural occurrences becomes increasingly crucial as the global population grows, and dependence on electricity continues to rise. Ensuring a stable and reliable power supply becomes paramount in this scenario. Self-healing grids, with their rapid fault isolation and bypass capabilities, play a pivotal role in minimizing outages and downtime. This, in turn, enhances grid resilience and improves overall energy security.
The growing adoption of self-healing grids can be attributed to their effectiveness during natural events. For instance, smart, self-healing technology implemented in Florida demonstrated its capabilities by automatically restoring over 160,000 customer outages during a powerful storm. This not only highlights the real-time responsiveness of the technology but also emphasizes its role in saving significant outage time. In this specific case, nearly 3.3 million hours (equivalent to nearly 200 million minutes) of total outage time were preserved.
Duke Energy, serving approximately 59% of customers in Florida with self-healing capabilities on its primary power distribution lines, serves as a notable example of successful utilization during climatic events. The company aims to expand this coverage, with a goal of reaching around 80% of customers in the coming years. This example underscores the practical application of self-healing grid technology in addressing challenges posed by natural occurrences and climatic events.
The lack of required infrastructure and supported technologies
Self-healing grids are also one of the additional features and advancements that are used to improve the functionality of smart grid solutions that are being deployed in various countries around the world in order to make the related process more efficient. However, deploying self-healing technology or self-healing grids requires a significant initial investment as well as skilled labour to maintain the various features. This is not possible in many of the low-income counties and regions, as there is an unavailability of the required infrastructure and a lack of a skilled workforce in many of them. Hence, this factor poses a restraint on the self-healing market growth over the forecast period.
The Global Self-Healing Grid Market is segmented by application, into Power Transmission and Power Distribution
The Global Self-Healing Grid Market is segmented by application, specifically into Power Transmission and Power Distribution. In Power Transmission, there is a focus on leveraging advanced sensors, real-time communication networks, and sophisticated control systems to enable rapid fault identification and isolation. On the other hand, in Power Distribution, a broad spectrum of smart grid technologies is employed, encompassing smart meters, distributed intelligence, and self-healing microgrids.
North America is anticipated to hold a significant share of the Global Self-healing grid market
The North American region is expected to have a significant share over the forecast period due to faster adoption by power grid owners as transmission and distribution losses increase. The North American region is expected to hold a significant market share throughout the forecast period because the adoption of such systems is growing faster in different states of countries such as the United States. This is because the power losses in the transmission and distribution of electricity via the power grid are estimated to be around 5%, according to the data and statistics provided by the U.S. Energy Information Administration. Furthermore, market participants are increasing their investments to provide advanced and enhanced solutions to make distribution grid management more automated and efficient.
October 2023- Avangrid, Inc., a prominent sustainable energy company and a member of the Iberdrola Group, revealed that its subsidiary, Central Maine Power (CMP), successfully obtained a $30 million grant. This grant, awarded by the U.S. Department of Energy's Grid Deployment Office as part of the Grid Resilience and Innovation Partnerships (GRIP) program, is intended for the implementation of new technologies. These technologies encompass advanced grid restoration (AGR) and sequential reclosing (SR).
August 2023- GE Vernova's Digital business confirmed the acquisition of Greenbird Integration Technology AS, a company specializing in data integration platforms for utilities. This strategic move underscores GE Vernova's dedication to investing in both technologies and talent aimed at expediting the development of a sustainable energy grid. The acquired platform is set to enhance GridOS®, recognized as the world's inaugural software portfolio tailored for grid orchestration. The addition of new capabilities will facilitate the seamless and scalable connection of systems, as well as the integration of data across the grid.
November 2022- Siemens Smart Infrastructure collaborated with SEW to enhance the experiences of utility smart meter users globally and expedite the journey towards achieving a 100 percent renewable world. The collaboration involved aligning interfaces and workflows to ensure a smooth, end-to-end process between Siemens' EnergyIP® Meter Data Management software and SEW's Smart Customer Mobile (SCM®) digital customer experience platform. This strategic partnership aimed to improve customer and workforce experiences, for digitally advanced landscape for utilities.
| Report Metric | Details |
|---|---|
| Total Market Size in 2025 | USD 3.8 billion |
| Total Market Size in 2030 | USD 10.1 billion |
| Forecast Unit | Billion |
| Growth Rate | 21.01% |
| Study Period | 2020 to 2030 |
| Historical Data | 2020 to 2023 |
| Base Year | 2024 |
| Forecast Period | 2025 – 2030 |
| Segmentation | Application, Grid Integration Source, Geography |
| Geographical Segmentation | North America, South America, Europe, Middle East and Africa, Asia Pacific |
| Companies |
|