The global energy landscape is undergoing a once-in-a-century transformation. Aging grids, rising electricity demand, and aggressive decarbonization targets utilities and infrastructure providers to rethink every layer of their operations. Thus Digital Engineering has become the new cornerstone of energy system innovation. From AI-enabled predictive maintenance to grid-scale simulation, digital engineering is present more than ever rather than a future aspiration. It’s already embedded across the energy value chain. Software-defined infrastructure, real-time analytics, and model-based systems engineering are becoming fundamental to managing complexity, reducing emissions, and enabling smarter grid modernization.
The global digital power utility market is expected to grow from $110.98 billion in 2025 to $230.16 billion by 2029, expanding at a 20% CAGR, according to Research and Markets. Digital twin systems, AI-led analytics, and cloud-first platforms are becoming foundational across transmission, distribution, and energy storage systems.
Key Segments & Growth Drivers
As the global digital power utility market gears up to surpass $230 billion by 2029, utilities and energy companies are doubling down on technologies that combine engineering precision with software intelligence. The shift is clear: the future of energy will be driven not only by hardware upgrades, but by intelligent, software-defined infrastructure that enables real-time control, predictive capabilities, and seamless integration of renewables.
Here are the core focus areas where digital engineering is creating the highest impact:
- Smart Grids and Network Automation: Grid operators are deploying sensor-based, software-integrated infrastructure to dynamically balance load, manage distributed energy, and integrate renewables.
- Digital Substations and HVDC Systems: Substations are evolving into fully software-managed, remotely monitored nodes using model-based configuration and real-time diagnostics.
- Green Hydrogen and Clean Tech Integration: Engineering tools are being used to model electrolyzer systems, battery chemistries, and hydrogen logistics.
- AI for Predictive Maintenance: Utilities are shifting from reactive repairs to predictive insights, using machine learning to prevent asset failures before they occur.
- Grid Simulation and Scenario Modeling: Digital platforms allow utilities to simulate demand spikes, climate events, or renewable variability, driving data-informed capital allocation.
Emerging Trends in Energy Digital Engineering
As energy systems evolve to support electrification, decentralization, and decarbonization, digital engineering is shifting from being a support function to a strategic growth engine. The integration of AI, cloud computing, and simulation technologies is creating a new class of energy infrastructure, one that is intelligent, adaptive, and secure by design. With utilities under pressure to modernize aging assets while integrating renewable sources, several innovation themes are gaining momentum across the industry.
Here are five key trends redefining how energy systems are designed, deployed, and managed:
- AI-Powered Grid Intelligence: From weather-driven load forecasting to failure prediction in transformers, artificial intelligence is redefining operational reliability and cost optimization in power systems.
- Software-Defined Infrastructure: Digital engineering is enabling dynamic control of physical assets through software updates, a paradigm similar to software-defined vehicles. This allows utilities to adapt faster to policy changes, demand surges, and renewable volatility.
- Virtual Commissioning and Simulation: By simulating substations, generation assets, and even entire grid zones before physical deployment, energy firms are reducing costs, accelerating time-to-market, and minimizing risk.
- Embedded Cybersecurity Engineering: As the energy sector digitizes, secure-by-design engineering practices are being integrated into control systems, SCADA networks, and smart devices to defend against rising cyber threats.
- Cloud-Native Energy Platforms: Engineering teams are leveraging cloud environments to manage digital asset models, stream real-time data, and collaborate across geographies, enabling faster iterations and greater agility.
How AI Is Driving the Energy Transition and Cutting Carbon Emissions
Artificial intelligence is doing more than simply optimizing operations. It's helping the energy sector tackle one of its biggest challenges: reducing carbon emissions while meeting growing demand. From cleaner power generation to smarter consumption, AI is playing a crucial role in accelerating the shift toward a low-carbon energy future. It gives utilities, grid operators, and energy providers the tools they need to make faster, better-informed decisions.
Here are some of the key ways AI is making an impact:
- Smarter energy dispatch: AI algorithms now help operators decide when and how to use different energy sources. By analyzing demand, weather, and emissions data, AI can prioritize low-carbon generation like wind or solar during peak hours.
- Better forecasting for renewables: Machine learning models are improving how we predict solar and wind output. With more accurate forecasts, energy companies can avoid waste, reduce the need for backup fossil generation, and better balance the grid.
- Efficient demand-side response: AI can identify when and where electricity use can be shifted without affecting users. This helps reduce load during peak times, lowers emissions, and improves grid stability.
- Tracking and reducing emissions: From real-time carbon accounting to ESG reporting, AI-powered platforms are giving companies better visibility into their carbon footprint. This makes it easier to comply with regulations and meet climate goals.
The International Energy Agency estimates that electricity demand from AI and data centers could double by 2026. That makes it even more critical for the energy systems powering AI to become smarter and greener at the same time. AI is already central to how the industry plans, operates, and decarbonizes.
Strategic Moves by Key Players
The global push toward electrification, automation, and decarbonization is driving a new wave of investment in digital engineering across the energy sector. Traditional OEMs, software giants, and infrastructure leaders are rapidly evolving their strategies to modernize legacy systems, but to build intelligent, software-defined energy platforms. From AI-powered grid tools to digital substations and cloud-native infrastructure, these players are reshaping the competitive landscape through focused, high-impact investments.
| Company | Strategic Focus |
| Hitachi Energy | $6B+ investment into digital infrastructure, R&D, and power grid software |
| GE Digital | Launched GridOS platform to manage AI-powered grid operations and forecasting |
| Siemens Energy | Building AI-driven software suites for high-voltage systems and transmission |
| Microsoft & Accenture | Joint ventures to digitize utility operations through cloud + AI |
| DNV | Partnered with global utilities for model-based design of critical infrastructure |
Notably, Hitachi’s latest $4.5B commitment (2024-2027) includes building out software platforms, digital substations, and AI-first infrastructure to accelerate global electrification efforts.
M&A Landscape: Consolidation in Full Swing
The energy M&A landscape is evolving from traditional asset deals to acquisitions of software platforms, smart grid solutions, and AI-powered engineering tools. Between Q1 2020 and Q3 2024, more than 4,100 transactions worth over $216 billion were completed in electric network engineering and related services, averaging around $52 million per deal, with a growing share targeting digital infrastructure. In the first half of 2024, $79 billion of M&A activity was driven by energy-transition assets, $21.5 billion of which focused on solar and wind technologies that incorporate predictive analytics, IoT monitoring, and platform-based asset management. Meanwhile, global investment in clean energy infrastructure surpassed $3 trillion in 2024, including more than $2 trillion targeted at renewables, storage, and smart grids, fueling a wave of M&A focused on digital upgrades. Energy-transition M&A accounted for 13.4% of all global deal value in 2024, up from the previous year, signaling a strategic pivot toward decarbonized and digitized energy assets.
Technology-first deals have become more prominent. Renewables-focused M&A reflects a clear preference for late-stage, de-risked projects that come bundled with digital management tools and software-enabled control systems. Utilities and infrastructure investors are increasingly acquiring platforms with cloud-enabled control systems, AI-driven forecasting tools, and IoT device management, mirroring trends found in the software market.
M&A has become more selective, focusing on integrated technology platforms rather than standalone assets. Corporations are maneuvering to secure specialized engineering expertise in grid modernization and digital control, software IP and platforms for predictive analytics, simulation, and automation and skilled talent pools to accelerate digital transformation roadmaps. Engineering firms, utilities, and private equity are all competing for the same assets and human capital as they race to the frontlines of digital grid modernization.
Three Notable Mid-Market Deals
Accenture acquired Boslan, an engineering and consulting firm specializing in net-zero infrastructure. This deal enhances Accenture’s ability to deliver digital transformation and sustainable plant engineering services, helping clients design, model, and deploy clean energy systems with engineering efficiency and carbon reduction in mind.
ICF, a technology services and consulting provider, acquired Applied Energy Group (AEG) from Ameresco. AEG specializes in energy consulting, product engineering, and smart monitoring systems for utilities and energy-intensive operations.
Axiscades Technologies Ltd., a global engineering solutions provider, acquired Hyderabad based Epcogen, a specialist in engineering and execution across oil & gas, petrochemicals, refineries, and renewables. Known for its work in emission control and energy storage, Epcogen boosts Axiscades’ capabilities in sustainable plant engineering and expands its reach into the Middle East and North America. The deal also opens cross-selling opportunities and supports innovation in clean energy solutions.
Private equity firms, energy infrastructure investors, and cloud-native engineering firms are all converging on the same goal: to digitize the grid at scale.
Future Outlook: From Asset-Heavy to Software-Led
By 2030, digital engineering will be central to how energy systems operate. As the industry shifts from asset-heavy infrastructure to intelligent, software-led systems, key trends are emerging. Decentralized energy will be managed through model-based design tools, while AI will automate grid operations like dispatch and fault detection in real time. Resilient engineering will address climate extremes, cyber threats, and enable self-healing networks. Cloud-edge architectures will support localized control with system-wide optimization. With the global push to electrify transport, industry, and buildings, smart, digitally engineered infrastructure is essential. Digital engineering is the backbone of this transition, powering everything from predictive maintenance to grid orchestration. Energy companies that go digital-first now will define the next era of clean, reliable power.
SA Global Advisors (SA), a leading global investment banking firm specializing in strategic investments and M&A transactions in the Technology, Media, and Telecom (TMT) sectors, is at the forefront of enabling businesses to harness the transformative potential of digital engineering in the energy sector. With expertise in strategic investments and M&A, SA helps energy innovators scale digital engineering capabilities. As AI, cloud, and model-based systems reshape the sector, success hinges on partnerships that drive innovation, efficiency, and scalable infrastructure. In this shift, digital engineering is essential to achieving long-term growth and competitive edge in the clean energy economy
To share feedback on this blog or discuss opportunities SA can enable to amplify growth for digital engineering in energy sector, please reach out to us at info@saglobaladvisors.com.