Dublin, Jan. 06, 2026 (GLOBE NEWSWIRE) — The “Artificial Intelligence (AI) Energy Storage Solution Global Market Report 2025” has been added to ResearchAndMarkets.com’s offering.
The artificial intelligence (AI) energy storage solution market is experiencing significant growth, with projections indicating an increase from $7.74 billion in 2024 to $8.82 billion in 2025 at a CAGR of 13.9%. The rising demand for renewable energy integration, electric vehicle adoption, and grid stability are key factors driving this growth. By 2029, the market is expected to reach $14.68 billion, propelled by investment in advanced battery technologies and AI-driven energy management systems.
The forecast period is expected to see notable trends such as advancements in AI-based predictive energy management and innovations in hybrid and second-life battery systems. Developments in modular and mobile energy storage solutions, as well as smart grid and microgrid integration, are also anticipated. Notably, home energy storage systems are gaining traction, spurred by increasing renewable energy use, rising electricity costs, and the need for reliable backup power. AI-powered solutions are enhancing home energy management by optimizing consumption and reducing costs.
Significant players like Tesla and Hitachi Energy are at the forefront of this evolution, focusing on innovative products like Tesla’s 20 MWh Megapack battery energy storage system, designed for utility-scale projects. This system features advanced thermal management and modular architecture for rapid deployment. Hitachi Energy’s acquisition of Eks Energy enhances its grid integration capabilities, combining advanced converter technology with Hitachi’s expertise.
Prominent companies in the sector include TotalEnergies SE, Huawei Technologies Co. Ltd., BYD Company Limited, Siemens AG, and more. North America led the market in 2024, while Asia-Pacific is poised to be the fastest-growing region. The evolving trade landscape, marked by increased tariffs and trade frictions, is impacting the market dynamics, especially in regions reliant on electrically intensive products.
The AI energy storage solutions market report provides comprehensive market statistics, detailing industry size, regional shares, and competitive landscapes. It also outlines market segments, industry trends, and opportunities. The report promises strategic insights for thriving in this rapidly expanding market, emphasizing the importance of AI technologies in optimizing energy storage operations and enhancing grid stability.
AI energy storage solutions incorporate machine learning algorithms to optimize energy management, improve storage efficiency, and reduce costs. They encompass a variety of systems, including battery energy storage, flywheel, compressed air, and hydrogen storage. These systems are deployed across utility, commercial, industrial, and residential sectors, offering applications such as peak shaving, load shifting, and renewable integration.
Overall, the AI energy storage market is expected to continue its upward trajectory, driven by innovation in energy management and storage technologies, along with a growing emphasis on sustainable and efficient energy solutions. This surge is supported by a robust investment climate and strategic advancements within the industry.
Key Attributes:
| Report Attribute | Details |
| No. of Pages | 250 |
| Forecast Period | 2025 – 2029 |
| Estimated Market Value (USD) in 2025 | $8.82 Billion |
| Forecasted Market Value (USD) by 2029 | $14.68 Billion |
| Compound Annual Growth Rate | 13.6% |
| Regions Covered | Global |
Report Scope:
Markets Covered:
- By Technology Type: Battery Energy Storage Systems (BESS), Flywheel Energy Storage Systems, Compressed Air Energy Storage (CAES), Thermal Energy Storage, Hydrogen Storage Solutions.
- By Storage Duration: Short-Term, Medium-Term, Long-Term, Seasonal Storage Solutions, Instant Response Energy Storage.
- By Deployment Mode: On-Premises, Cloud.
- By Application: Peak Shaving, Load Shifting, Frequency Regulation, Renewable Integration, Backup Power Supply.
- By End-User: Utilities, Commercial and Industrial, Residential.
Subsegments:
- Battery Energy Storage Systems: Lithium-Ion, Lead-Acid, Flow, Sodium-Sulfur, Solid-State Batteries.
- Flywheel Energy Storage Systems: Steel Rotor, Carbon Fiber Composite, Hybrid Flywheels.
- Compressed Air Energy Storage: Diabatic, Adiabatic, Isothermal CAES.
- Thermal Energy Storage: Sensible Heat, Latent Heat, Thermochemical Storage.
- Hydrogen Storage Solutions: Compressed, Liquid, Metal Hydride, Chemical Hydrogen Storage.
Companies Featured
- TotalEnergies SE
- Huawei Technologies Co. Ltd.
- Tesla Inc.
- BYD Company Limited
- Siemens AG
- Iberdrola S.A.
- General Electric Company
- LG Chem Ltd.
- Schneider Electric SE
- Honeywell International Inc.
- ABB Ltd.
- NextEra Energy Inc.
- NEC Corporation
- Eaton Corporation plc
- Johnson Controls International plc
- AES Corporation
- Sungrow Power Supply Co. Ltd.
- Black & Veatch Holding Company
- Gotion High-Tech Co. Ltd.
- Fluence Energy Inc.
- VARTA AG
- Hitachi Ltd.
- Enel X
For more information about this report visit https://www.researchandmarkets.com/r/hret7g
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- Artificial Intelligence (AI) Energy Storage Solution Market
