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Infrastructure Transition Monitor Report

Smarter grids, smarter decisions

Building resilient and sustainable power networks

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Pasaulinės įžvalgos apie tvarią ateitį

Remiantis pasauline 1400 vadovų apklausa ir išsamiais ekspertų interviu papildymais , 2025 m. Siemens infrastruktūros transformacijos stebėsena pateikia išsamias įžvalgas apie pasaulinę infrastruktūros transformaciją. Šiame tyrime trijose skirtingose ataskaitose nagrinėjami tarpusavyje susiję pokyčių ramsčiai:

  • Kaip energetikos infrastruktūros raida, kurią įgalina skaitmeninės technologijos, skatina pažangą link grynosios nulinės ateities
  • Pastatų dekarbonizavimo pažanga, prioritetai ir problemos
  • Pramonės sektoriaus pažanga siekiant tvarumo
Key findings

Resilience first: Digitalization powers more stability

Our ITM 2025 survey shows strong progress has been made on key infrastructure transition goals since 2023. The biggest gains have been in energy independence, renewables, and storage. Resilient energy supply is now the top government priority. Power grids are central to this, where resilience can be advanced through digitalization, AI, and regional interconnections, crucial for managing growing renewables and electric vehicle (EV) demand amid rising geopolitical and climate risks.

Įgalinant infrastruktūrą siekiama elektrifikavimo tikslų

Electrification is key to decarbonization, but grid upgrades are essential to manage rising demand and complexity. Grid software, AI, and digital twins are now vital for visibility and flexibility. Yet, outdated regulations and market designs hamper progress. Flexibility markets offer a solution, enabling real-time, cross-border energy management. Strategic collaboration – especially between government and business – is gaining ground, as seen in India’s smart grid rollout, showing how tech and partnerships can drive national transformation.

We’re not just building infrastructure anymore. We’re building flexibility markets. That’s the only way to respond fast enough, cost-effectively, across borders.
Daniela Haldy-Sellmann, Senior Vice President, SAP

Autonomous grids: How smart grids are getting smarter

AI is rapidly transforming energy systems, with 72% of energy-sector respondents saying AI will transform how their organization operates within three years. Autonomous grids – capable of self-healing, load balancing, and real-time optimization – are emerging, with most respondents saying they are ready to adopt. Fragmented systems and a lack of data standards remain key barriers. But investment is growing, and digitalization, AI, and data integration are widely seen as critical enablers for building resilient, efficient, and intelligent power infrastructure.

of energy-sector respondents say:

My organization plans to increase investments in data integration technologies

of energy-sector respondents say:

My organization is using AI to help decarbonize our operations

of energy-sector respondents say:

The use of autonomous systems in power grids will play a crucial role in reducing greenhouse gas emissions

Partner Insight

AI-supported decision-making is transforming utilities

Q&A with Marc Lamoureux, Director of Product Management, IFS Copperleaf

A person standing in front of a copper leaf plant with a blurry background.

What trends are you seeing in how utilities are approaching capital planning?
The latest is system or process consolidation, for example, from siloed, program-based planning to continuous integrated planning spanning commodities (electric, gas, etc.), business units (transmission, distribution, etc.), and functional groups (strategy, execution, etc.). Integrated planning enables utilities to have a consolidated picture of asset needs and create investment plans that link multi-decade strategic goals to circuit-level deployment. Enabling leadership can see the ten-year impact of today’s decisions.

How can AI-powered Asset Investment Planning (AIP) solutions transform how utilities operate?
While there is an important place in AIP for deterministic tools, AI excels in complex data intensive environments within utilities. From considering all relevant context for investment creation, exploring future scenarios, to iterating tailored communication strategies for varied stakeholders, AI-powered AIP will drive a material change in the time to value and the ability to comprehensively defend decisions.

How are environmental and regulatory goals incorporated?
Our framework considers constraints and targets on a common economic scale, including emission caps, carbon budgets, and regulatory targets. This enables trading-off between investments during what-if scenario optimization and constraint sensitivity analysis, making it relatively simple to align capital allocation decisions with environmental and regulatory goals.

What measurable outcomes have utilities seen from using your platform?
Utilities typically achieve up to a 20% improvement in capital efficiency, a 25% reduction in project deferrals, a 30% faster planning cycle, and up to 15% in OPEX savings through work bundling. For example, we helped the UK’s National Grid Electricity Transmission (NGET) to replace periodic, frequency-based maintenance with a continuous, risk- and value-based approach. This increased the average annual value of maintenance and modernization plans by £900 million — a 270% increase. Risk-based optimization further reduced maintenance volumes by 17%, worth £4.4 million over five years, and halved planning time.

Which technologies do you believe will have the biggest impact on decarbonization?
AI will play a critical role in enhancing process efficiency and analysis depth for the scenarios needed to model the potential pathways to achieving decarbonization objectives. Modeling and simulation platforms will have an increasing impact on defining feasible investments. While uncertainty analysis will enable organizations to perform in a variety of future scenarios, increasing the probability of achieving decarbonization goals.

Gaukite išsamias įžvalgas apie energetikos infrastruktūrą

Atsparių ir tvarių elektros tinklų kūrimas

Atsisiųsti ataskaitą

Apie mokslinius tyrimus

Siemens infrastruktūros transformacijos stebėsena(ITM) yra kas dvejus metus trunkantis mokslinis tyrimas, pradėtas 2023 m. Dabar savo antrame leidime ITM stebi besikeičiančią pasaulio perėjimo prie grynojo nulio padėtį laikui bėgant, pabrėžiant skubiausius prioritetus ir kelią, kurio teks eiti verslams ir vyriausybėms. ITM remiasi pasauline apklausa, kurioje dalyvavo 1400 privačiojo ir viešojo sektoriaus vadovų ir vyresniųjų vadovų. 2025 m. apklausos respondentai buvo įtraukti iš 19 šalių ir 37 sektorių (ataskaitų teikimo tikslais suskirstyti į aštuonis pagrindinius pramonės segmentus). Tyrimas taip pat remiasi įžvalgomis iš išsamių interviu su pasirinkta lyderių ir ekspertų grupe.

  • Dr. G Ganesh Das, Bendradarbiavimo ir inovacijų skyriaus vadovas, Tata Power Company
  • Sabine Erlinghagen, Grid Software generalinė direktorė, Siemens Smart Infrastructure
  • Jan Fassbender, One Human Pharma pasaulinių įrenginių ir inžinerijos vadovas, Boehringer Ingelheim
  • Edmund Fowles, Feilden Fowles Architects įkūrėjas ir direktorius
  • Daniela Haldy-Sellmann, viceprezidentė ir generalinė direktorė Energy and Natural Resources Industries, SAP
  • Thomas Kiessling, Siemens Smart Infrastructure vyriausiasis technologijų specialistas
  • Brian Motherway, Tarptautinės energetikos agentūros Energijos efektyvumo ir integracinio perėjimo departamento vadovas
  • Andreas Schumacher, Infineon Technologies vykdomasis pirmininko pavaduotojas strategijai, susijungimams ir įsigijimams
  • Susanne Seitz, Buildings generalinė direktorė, Siemens Smart Infrastructure
  • Dr. Sean Woolen, Kalifornijos universiteto Radiologijos ir biomedicininio vaizdavimo katedros docentas