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

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

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

    60% confidence
What we know · the intelligence behind this page
Live from the substrate
What we're seeing
Enterprise Software Races to Govern and Consolidate Around Agentic AI
Enterprise software vendors are repositioning around autonomous AI agents. Salesforce is acquiring Braze, ServiceNow is launching agent governance tools (AI Passport, Super Intelligence Control Tower), SAP is pushing its 'Autonomous Enterprise', and Zeta is launching AthenaOS and its own inference model. Palantir is embedding itself in banking, aviation and sovereign AI infrastructure through partnerships with Customers Bank, Surf Air, Ondas and Armada. Governance, data sovereignty and enforced policy are emerging as preconditions for regulated sectors like finance. Investors such as Norwest see room to disrupt ERP and finance software, and they caution that AI should not be trusted with financial calculations. Consolidation and shareholder disputes (Salesforce/Braze, Tiny/Oso Cloud, ZenaTech/Boardwalktech) show the market reshaping.
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
Ford Motor Company
Both facts give cash for Ford Motor Company at the same point in time (2025-12-31; FY 2025 year-end and Q4 2025 year-end are the same date). Both are labelled USD, but the values are 23,356,000,000 and 23.356, which cannot both be true in USD. The two numbers agree once the second is read as billions (23.356 bn = 23,356,000,000), so the economic content is consistent and the conflict is a unit/scale error in the Q4 2025 record. The period is not the reason for the conflict: a Q4 and an FY figure at the same year-end date should match.
We flag conflicts openly ›
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AI in Energy Market Report 2026 — Source | Via News | ViaNews Market