AI 데이터센터 배터리 에너지 저장 시스템(BESS) 시장은 백업 전원 및 계통 서비스 확보를 위한 시설 수요 증가로 급성장하고 있다.

The U.S. AI data center Battery Energy Storage System (BESS) market is entering a high-intent infrastructure phase. Valued at approximately US$1.65 billion in 2025, the market is projected to reach US$31.97 billion by 2035, expanding at a compound annual growth rate (CAGR) of 34.5%. As artificial intelligence workloads demand significantly higher power availability and reliability, BESS has become essential for critical backup power, energy resilience, and managing the escalating electricity requirements of AI infrastructure. However, the next phase of adoption extends beyond simply installing additional battery capacity. U.S. data center operators and infrastructure buyers must navigate complex challenges including battery degradation, long-term return on investment, equipment availability, deployment timing, power and cooling requirements, permitting processes, and system-integration risks before scaling deployments. https://www.datamintelligence.com/download-sample/ai-data-center-bess-market?mg

Recent industry developments underscore these structural shifts. In July 2026, the U.S. Department of Energy highlighted grid-capacity constraints and lengthy interconnection timelines as primary barriers to rapid data center deployment. Concurrently, U.S. battery storage installations continued to expand throughout 2026, reinforcing the infrastructure base required to support growing AI electricity demands. Energy-sector initiatives are increasingly prioritizing long-duration storage technologies to enhance grid reliability and accommodate large-scale loads. Consequently, AI data center developers are evaluating BESS alongside traditional uninterruptible power supply (UPS) systems to improve reliability and manage high-density workloads. This expansion is driven by several converging factors: surging AI power requirements necessitating robust backup and energy-management systems; the critical need for continuous operation during grid interruptions; persistent grid capacity constraints delaying new developments; rising infrastructure capital expenditures across power, cooling, and electrical systems; and a heightened focus on reliability economics, which compels buyers to evaluate lifetime performance and battery degradation. https://www.datamintelligence.com/partner-identification-enquiry/ai-data-center-bess-market?mg

The AI boom is simultaneously creating a data center power infrastructure crunch. Rapid AI deployment is pushing electricity demand far beyond traditional planning parameters, intensifying the need for reliable energy-storage and backup-power solutions. At the same time, supply-chain resilience has emerged as a strategic priority. Growing U.S.-China technology competition, combined with China’s dominant role in global manufacturing, is prompting companies to reassess sourcing strategies, domestic production capabilities, and supply-chain resilience for AI infrastructure.

For U.S. buyers, the commercial focus has shifted from whether to adopt BESS to identifying which suppliers, configurations, and deployment models can meet stringent infrastructure requirements. Three qualification factors are particularly critical. First, battery degradation materially influences installation economics over a system’s operating life; buyers must evaluate expected degradation rates, usable capacity, replacement schedules, warranty terms, and lifecycle economics when calculating long-term ROI. Second, AI data centers cannot tolerate prolonged power interruptions, making BESS solutions designed for critical backup power essential for providing an additional layer of resilience alongside broader facility energy-management strategies. Third, establishing direct relationships with battery and BESS original equipment manufacturers (OEMs) is becoming increasingly vital as developers seek greater visibility into equipment availability, delivery schedules, warranties, technical specifications, and lifecycle support. Despite these priorities, practical bottlenecks continue to influence project economics and deployment schedules. Large AI facilities require substantial power capacity, making equipment availability and grid access paramount. Furthermore, battery procurement, construction, interconnection, permitting, commissioning, and integration collectively extend the timeline required to bring BESS systems online. High-density AI infrastructure also generates significant electrical and thermal-management demands, complicating facility planning and increasing power and cooling requirements. Purchase This Exclusive Report: https://www.datamintelligence.com/buy-now-page?report=ai-data-center-bess-market?mg

As AI workloads grow more power-intensive, the role of energy storage is expanding well beyond conventional backup applications. Long-duration storage solutions can address multi-hour AI workload requirements, offering data center operators greater flexibility in managing power interruptions, grid constraints, and overall energy demands. This evolution creates a distinct opportunity for suppliers capable of integrating battery technology, energy-management systems, power electronics, controls, and data-center infrastructure into scalable, cohesive solutions. Additional Benifits: ✅ Get Interactive Dashboard Access (With No Additional Coast) ✅ Three months of analyst support to answer queries related to the report.

The potential buyer ecosystem extends beyond traditional data center operators. Key stakeholders include hyperscale data center operators, AI infrastructure companies, colocation providers, data center developers, utilities and grid operators, engineering, procurement, and construction (EPC) contractors, BESS system integrators, battery and energy-storage OEMs, and industrial infrastructure investors. For this diverse group, procurement priorities are increasingly centered on deployable capacity, reliable performance, predictable economics, and seamless integration readiness. Get 20% complimentary customization within the report: https://www.datamintelligence.com/customize/ai-data-center-bess-market?mg

Regionally, the United States remains a leading market for AI data center BESS, propelled by rapid hyperscale AI expansion, rising electricity demand, and persistent grid-interconnection delays. BESS is increasingly evaluated for critical backup power, grid flexibility, and mitigating deployment bottlenecks. Key players in this segment include Tesla Energy, Fluence, GE Vernova, Vertiv, and EnerSys. In Japan, a robust AI-data-center and BESS ecosystem is developing, with companies pursuing domestic battery production, high-density storage, and integrated power solutions. Notably, SoftBank launched a gigawatt-hour-scale battery business in 2026 specifically to support AI-era power infrastructure and its planned AI data centers. Japanese market leaders include SoftBank, PowerX, Panasonic Energy, Hitachi Energy, and Eku Energy. Meanwhile, the Asia Pacific region is emerging as a major growth corridor as AI adoption, cloud infrastructure, and data center construction accelerate. China, South Korea, Japan, Taiwan, and India are actively strengthening their battery manufacturing, power electronics, and data center infrastructure capabilities. Prominent regional players include CATL, BYD, LG Energy Solution, Samsung SDI, and Delta Electronics.

The competitive landscape is shaped by ten leading companies driving innovation and deployment: Tesla Energy, Fluence Energy, CATL, BYD, LG Energy Solution, Schneider Electric, Vertiv, ABB, Eaton, and Delta Electronics. Tesla Energy provides large-scale battery storage systems and energy-management solutions, positioning it as a significant U.S. player as AI data centers seek scalable backup and grid-support capabilities. Fluence focuses on grid-scale storage, energy-management software, and integrated BESS solutions, strategically positioning itself to address data-center power reliability and integration requirements.