Artificial Intelligence (AI) In Energy And Power Market Competition Analysis 2025: How Players Are Shaping Growth
artificial intelligence ai in energy and power market insights
The Business Research Company's Artificial Intelligence (AI) In Energy And Power Market Competition Analysis 2025: How Players Are Shaping Growth
LONDON, GREATER LONDON, UNITED KINGDOM, January 7, 2026 /EINPresswire.com/ -- "The Artificial Intelligence (AI) In Energy And Power market is dominated by a mix of global technology leaders, utility-focused solution providers, and emerging innovators specializing in grid intelligence and energy analytics. Companies are prioritizing advanced AI systems for predictive maintenance, intelligent grid management, and high-accuracy forecasting to strengthen their competitive position and support decarbonization goals. As AI adoption accelerates across generation, transmission, distribution, and industrial energy systems, understanding the evolving competitive landscape becomes essential for stakeholders aiming to capture growth opportunities, form strategic alliances, and drive digital transformation within the sector.
Which Market Player Is Leading the Artificial Intelligence (AI) In Energy And Power Market?
According to our research, NVIDIA Corporation led global sales in 2024 with a 2% market share. The Compute & Networking of the company is partially included in the artificial intelligence (AI) in energy and power market, provides data centre platforms and systems; Mellanox networking and interconnect solutions; autonomous driving development agreements and autonomous vehicle solutions; cryptocurrency mining processors; Jetson for robotics and other embedded platforms; and NVIDIA AI enterprise and other software.
How Concentrated Is the Artificial Intelligence (AI) In Energy And Power Market?
The market is fragmented, with the top 10 players accounting for 15% of total market revenue in 2023. This level of fragmentation reflects high entry barriers driven by complex energy-system integration, advanced AI and analytics requirements, regulatory compliance, and utility demand for reliable, scalable, and secure solutions. Leading vendors such as NVIDIA, Siemens Energy, Schneider Electric, C3.ai, Microsoft, Google, GE Vernova, IBM, ABB, and Shell compete through strong AI platforms, deep power-sector expertise, and established relationships with utilities and large industrial customers, while smaller firms address niche use cases. As adoption of AI across grid optimization, forecasting, and asset management accelerates, partnerships and gradual consolidation are expected to strengthen the position of major players.
• Leading companies include:
o NVIDIA Corporation (2%)
o Siemens Energy (2%)
o Schneider Electric SE (2%)
o C3.ai Inc. (2%)
o Microsoft Corporation (1%)
o Alphabet Inc. (Google LLC) (1%)
o GE Vernova (1%)
o International Business Machines Corporation (1%)
o ABB Ltd. (1%)
o Shell plc (1%)
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Which Companies Are Leading Across Different Regions?
• North America: SparkCognition, Snowflake, Inc., Databricks, Inc., Honeywell International, Inc., Enverus, Fluence Energy, Inc., General Electric Company, Google Energy LLC, International Business Machines Corporation (IBM), Baker Hughes Company, Schneider Electric SE, BrainBox AI, BluWave-ai and Kontrol Technologies are leading companies in this region.
• Asia Pacific: GCL Energy Technology, EdgeCortix Inc., BluWave-ai, SK Group, Huawei Technologies Co., Ltd., Infosys Limited, Solar Analytics, Mitsubishi Electric Corporation, Ecube Labs Co., Ltd., AutoGrid India Pvt. Ltd., Star Energy Group PLC, Barito Renewables, SparkCognition India Pvt. Ltd. and Bidgely are leading companies in this region.
• Western Europe: Hitachi Energy, Siemens AG, Schneider Electric SE, GreenPowerMonitor, AutoGrid Systems, Inc., Danfoss A/S, Powerverse, ABB Ltd and ATOS SE are leading companies in this region.
• Eastern Europe: Ogre AI, Enea Operator Sp. z o.o., Electrica Group and Siemens AG are leading companies in this region.
• South America: Google LLC, Mitsubishi Corporation do Brasil S.A., Bosch.IO (a digital solutions subsidiary of Robert Bosch GmbH) and Toshiba Corporation are leading companies in this region.
What Are the Major Competitive Trends in the Market?
• Advanced predictive analytics for energy demand forecasting is transforming to forecast energy demand more accurately over short, medium, and long-term horizons.
• Example: Hitachi Energy Nostradamus AI (November 2024) assigns more precise forecasts (load, market pricing, renewable energy generation) for utilities, power system operators, energy producers, and traders.
• These innovative tool claims to improve accuracy by over 20% compared to some industry targets, helping organizations make better investment, operational and trading decisions.
Which Strategies Are Companies Adopting to Stay Ahead?
• Focuses on enhancing its operational capabilities through partnership expansions
• Developing advanced AI-driven grid optimization and forecasting solutions to strengthen competitive positioning
• Focusing on autonomous energy management systems and AI-enabled operational intelligence across utilities and C&I sectors
• Expanding strategic investments in digital infrastructure, data platforms, and energy-tech partnerships
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Oliver Guirdham
The Business Research Company
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