Electrification, powered by renewable sources, is accelerating across industries from transport and heating to industrial processes as countries push toward decarbonisation. While the demand for electricity is rising rapidly, the grid that underpins it is under increasing strain. Built for a centralised, predictable energy system, today’s grid must support intelligent connectivity systems, distributed energy resources (DERs), and dynamic consumption patterns. In this context, infrastructure is no longer just about physical assets like transformers and substations. It has evolved into a multi-layered system, where connectivity, software, and data platforms are just as critical as wires and hardware.
Transforma Insights’ recent report, ‘Supporting Infrastructure for Power Utilities: Physical, Digital and Connectivity Systems’ highlights how vendors are evolving their portfolios to support utilities’ transition toward interconnected, intelligent grids focusing on integrated solutions that enable seamless, real-time data flows across field devices, substations, control centres, and enterprise systems. This shift is fundamental to enabling electrification at scale. In this blog, we discuss the importance of scaling and modernising communication infrastructure for electricity grids with new connectivity technologies and the role of vendors (hardware, software, network, and cloud providers) in transitioning from traditional to modern grid infrastructure.
The evolution of energy systems is closely tied to the ability of transmission and distribution networks to handle rising demand and increasing complexity. Electrification is expanding rapidly while much of the existing grid infrastructure is ageing and, in many regions, nearing the end of its lifecycle. At the same time, the energy landscape is becoming more decentralised. The growing adoption of solar panels, wind energy, EV charging infrastructure, and distributed storage is transforming grids from a one-way delivery system into a dynamic, bidirectional network. To manage this complexity, utilities must move beyond incremental upgrades and adopt digitally-enabled infrastructure that enhances visibility, flexibility, and control.
Modern power infrastructure can be categorised into four interconnected layers, each playing a distinct role in enabling electrification:
This layer includes core electrical equipment such as transformers, substations, switchgear, protection relays, and smart meters. These assets remain the backbone of electricity generation, transmission, and distribution. However, their role is evolving as these assets are being embedded with sensors and IoT capabilities, enabling real-time monitoring and more responsive control. Some of the key vendors in this segment include Itron, Landis+Gyr, Hitachi Energy, and Schneider Electric. These vendors are increasingly integrating their infrastructure assets with IoT and AI for better monitoring and control.
This layer comprises enterprise and operational applications used to monitor, control and optimise grid performance. Solutions such as SCADA, advanced distribution management systems (ADMS), outage management systems (OMS), and DER management platforms enable utilities to manage increasingly complex networks. These platforms are critical for managing the integration of renewable resources, forecasting demand and generation, and optimising grid performance in real time. As electrification expands, software becomes the decision-making layer of the grid. Key vendors in this segment include Oracle, SAP, IBM and GE Vernova. Companies like Oracle Utilities, Survalent Technology, and Grid4C also emphasise enterprise integration, asset management, and AI-driven insights.
If physical infrastructure is the backbone of the grid, communication networks act like the nervous system of a modern grid. Communication technologies such as RF mesh, cellular LTE and5G, fibre optics, and IoT connectivity platforms enable real-time data exchange between field devices and control centres. This connectivity is essential for mission-critical applications such as grid automation, tele-protection, and remote asset monitoring. Telecommunications providers and network technology companies are becoming increasingly central to utility operations, as reliable, low-latency communication becomes a prerequisite for electrification. Communication and network infrastructure providers such as Ericsson, Huawei, Juniper Networks, Nokia, Tata Communications, and Wirepas act as the backbone for real-time data exchange across grid operations.
Cloud platforms provide the scalability and computational power required to process vast amounts of grid data. Through infrastructure-as-a-service (IaaS) and platform-as-a-service (PaaS) models, utilities can deploy advanced analytics, AI applications, and digital twins without heavy upfront investment. Cloud and managed service providers also enable the integration of IT and OT systems, real-time data aggregation and analytics, and continuous monitoring and lifecycle management. Together, these capabilities support the transition toward more flexible, data-driven grid operations. Key vendors here include Accenture, Amazon Web Services, and Microsoft.
There has been a significant shift in the role of vendors. Traditionally, utilities relied heavily on hardware providers. Today, the ecosystem is far more diverse: hardware providers are embedding intelligence into physical assets such as transformers, substations and smart meters; software vendors are driving grid optimisation and analytics through advanced platforms such as SCADA, ADMS, OMS and others; network providers are enabling real-time connectivity; and cloud providers are becoming a critical aspect of to digital operations. This convergence is reducing traditional boundaries, with value increasingly shifting from standalone products to integrated platforms and ecosystems, where interoperability and data integration are the key differentiators.
The integration of IoT and AI is transforming the deployment, monitoring, and maintenance of infrastructure. Traditionally, utilities relied on manual inspections and reactive maintenance. This approach is costly as inefficient labour and unnecessary truck rolls can account for a significant share of operational expenditure. In contrast, IoT-enabled sensors and connected devices provide continuous, real-time visibility into grid conditions. AI builds on this data to enable predictive maintenance, reducing outages and repair costs. This supports real-time grid optimisation (including load balancing and congestion management), forecasting of demand, pricing, and renewable generation, and autonomous operations at the edge, enabling faster decision-making. AI is also enabling the development of digital twins, allowing utilities to simulate grid behaviour and optimise performance under different scenarios. These capabilities are essential for managing the complexity introduced by electrification, particularly as DERs continue to grow.
Electrification is not just a demand-side shift; it is fundamentally reshaping how power systems are designed and operated. To support the transition from traditional to intelligent systems, utilities must invest in infrastructure that is connected to enable real-time data exchange, support advanced analytics and automation, and provide flexible operations that are capable of integrating diverse energy resources and are scalable as well, to meet future demand. Communication networks, cloud platforms, and AI-driven systems are no longer optional, they are core components of modern grid infrastructure. Ultimately, the success of electrification will depend not just on expanding the capacity, but on building a smarter, more connected infrastructure ecosystem that can support the future energy systems.
