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

    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

  • 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

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

    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

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

    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
Ce que nous savons · l'intelligence derrière cette page
En direct du substrat
Ce que nous observons
The Agentic Takeover of the CFO's Office
Enterprise finance software vendors—BlackLine, OneStream, Numero AI, and Oracle—are racing to embed autonomous AI agents into core financial operations (close, consolidation, reporting), backed by consolidation M&A (Numero-Royu, BlackLine-WiseLayer), fresh leadership hires, and survey data showing nearly a quarter of CFOs plan to boost AI spending over 50%. Adoption momentum is strong even as at least one bellwether (Oracle) sees its stock lag year-to-date, suggesting the market hasn't yet fully priced in the shift from AI-as-feature to AI-as-agent in finance.
Notre lecture des données ›
Signaux que nous suivons
Satellite-Terrestrial Network Integration Acceleration
Increased investment and launches in hybrid satellite-cellular networks across telecom industry; competitive responses from other carriers; regulatory activity around satellite spectrum; expansion of emergency/rural connectivity use cases
Tendances que nous surveillons ›
Là où les sources divergent
Morgan Stanley & Co. LLC
Two significantly different EPS values (10.21 vs 2.68 USD_per_share) are reported for Morgan Stanley on the same observation date (2025-12-31). Fact A specifies FY 2025, while Fact B's 'N/A' fiscal period is ambiguous. If both represent FY 2025 annual EPS, these values directly conflict. The magnitude of the difference (3.8x) is too large to attribute to rounding or minor calculation variations. The missing fiscal period in Fact B raises data quality concerns, but same-date observation + same attribute should reference the same period.
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AI in Energy Market Report 2026 — Source | Via News | fr.VIA.NEWS