IFS GLOBAL UTILITY SURVEY 2026

Powering the next era of utility transformation

Insights from 850 utility executives highlight grid resilience and energy affordability as the new defining priorities enabled by integrated asset lifecycle management and predictive operations. 

Digital hand holding smart energy grid with wind turbines, solar panels, dam, and power lines in neon ring

The utility agenda has shifted

 The survey highlights that utilities are moving from fragmented modernization towards a connected operating model, one that links planning, assets, work, data and AI for measurable outcomes. 

  • #

    Building grid resilience against extreme weather events and cyber threats is top operational priority.

  • %

    are struggling with operational silos.

  • %

    believe AI is critical for reducing operational costs.

  • %

    are developing state with ALM systems, operating in silos and limited predictive capability.

  • %

    face significant barriers to scaling AI from pilot to production.

  • %

    say AI is critical for accelerating renewable and distributed energy integration.

Where is utility investment heading?

Seven priorities shaping the next era of utility transformation

Energy independence and affordability

Utilities are prioritizing existing assets, grid modernization, storage, microgrids and cybersecurity as they balance resilience with affordability.

Break operational silos to enable real-time decisions

The research shows a strong relationship between integration and the ability to use predictive analytics and automation for real-time decisions.

Asset lifecycle management

Investment is shifting toward critical-spares optimization, real-time asset monitoring, digital twins and integrated asset data.

Industrial AI: critical ambition, constrained scale

Cost, reliability and transparency concerns, AI literacy, legacy systems and proving ROI are all limiting enterprise-scale adoption.

Grid flexibility and managing growth

Utilities are moving towards more active grid orchestration as demand, renewables and distributed resources increase.

Digital transformation measured by operational outcomes

Integration, built-in AI and predictive analytics, and speed to value are among the leading software investment criteria.

What’s Holding Utilities Back?

Top barriers holding utilities back in adopting/ expanding modern asset lifecycle management solutions and scaling AI.

  • Power substation with digital twin overlay showing real-time transformer monitoring, predictive maintenance, and analytics

    Asset Lifecycle Management

    • Complexity of integrating new systems with existing legacy infrastructure
    • Data quality issues and lack of integrated data infrastructure
    • Insufficient skills and expertise to implement and operate advanced systems
  • Futuristic banner with an industrial AI ROI dashboard displaying 78% potential improvement and graphs showing business impact.

    Scaling AI

    • High investment costs with uncertain payback periods
    • Concerns about AI reliability, transparency, and regulatory compliance
    • Organizational resistance to change and lack of AI literacy

Future Outlook

The future is connected asset intelligence and workforce enablement

No single technology dominates the outlook. Instead, leaders are assembling a connected toolkit for planning, prediction, modeling and execution. This reinforces the strategic case for an architecture that can combine emerging capabilities with existing systems and operating processes. Utilities are looking for better decisions across capital, assets, operations and work.

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