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Source document· June 8, 2026

AI in Energy Market Report 2026

View original at globenewswire.com
AI in Energy Market Report 2026 Dublin, June 08, 2026 (GLOBE NEWSWIRE) -- The "AI in Energy Market Report 2026" has been added to ResearchAndMarkets.com's offering…
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  • UK-based data from September 2024 showed a 3.9% rise in installed microgrid capacity year-on-year, underscoring the role of microgrids in driving market growth.

    60% confidence

  • The estimated market value of the AI in energy market in 2026 is $27.89 billion.

    60% confidence

  • The Pangu Mine Model is the first large-scale AI model for the energy sector, introduced by Shandong Energy Group, YunDing Tech, and Huawei Technologies in 2023.

    60% confidence

  • Growth in the AI in energy market is driven by decarbonization initiatives, increased adoption of AI-powered grid intelligence, and rising demand for real-time energy analytics and distributed energy resources.

    60% confidence

  • The AI in energy market is expected to expand from $22.82 billion in 2025 to $60.6 billion by 2030, with a CAGR of 21.4%.

    60% confidence

  • Regional tariffs affecting smart meters and grid modernization hardware could drive up project costs, particularly impacting Asia-Pacific and Europe.

    60% confidence

  • North America dominated the AI in energy sector in 2025, with Asia-Pacific expected to lead growth through 2030.

    60% confidence

  • Noteworthy trends in the AI in energy market include AI-based demand forecasting, smart grid optimization, and predictive maintenance integration.

    60% confidence

  • Tariffs on smart meters and grid modernization hardware are pushing towards increased domestic manufacturing and the development of localized technology ecosystems.

    60% confidence

  • The increasing prevalence of microgrids has significantly contributed to integrating AI technologies in the energy sector, enhancing smart energy management and efficient renewable energy incorporation.

    60% confidence

  • Bidgely's acquisition of Grid4C consolidates its influence in grid-side management and consumer engagement, leveraging Grid4C's AI-powered predictive analytics resources.

    60% confidence
What we know · the intelligence behind this page
Live from the substrate
What we're seeing
Q4 2026 Clinical Catalyst Season: Big-Pharma Data Flow, Regulatory Milestones, and a Thin AI-Drug Fringe
October 2026 conferences (EASD, IGCS, NACFC, HFSA) are producing a dense run of late-stage readouts from Novo Nordisk, Lilly, Roche, Bayer, Vertex and Galderma. Regulatory milestones are scheduled behind them: the ivonescimab BLA PDUFA date on 2026-11-14, FDA acceptance of Roche's vamikibart BLA, and Scholar Rock's EMA resubmission. The AI-and-finance angle is peripheral. It consists of the AI-designed drug Rentosertib and QAIAx, a speculative microcap whose trial claims (the QIII pilot, anticipated 2027-01-01, and a patent update) are forecasts and filings rather than data, so they warrant skepticism.
Our read on the data ›
Signals we're tracking
EPKINLY Regulatory-Clinical Success Cascade
High probability of expanded label indications, additional combination approvals, and competitive positioning strength in follicular lymphoma market. Predicts positive commercial uptake and potential accelerated review for related indications.
Patterns we're watching ›
Where sources disagree
ING Group
Both facts record the same metric (shares_outstanding) for ING Group at the identical observation date (2025-12-31). FACT A states 2,902,437,688 shares; FACT B states 2,902 million shares (2,902,000,000). The difference is 437,688 shares (~0.015%). This is a genuine value conflict, though the discrepancy appears to result from FACT B rounding to the nearest million while FACT A provides the precise count.
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AI in Energy Market Report 2026 — Source | Via News | Via News