AI Server BBU Market Revenue, Insights, Overview, Outlook, Analysis | Valuates Reports

AI Server BBU Market Size

The global market for AI Server BBU was valued at US$ 364 million in the year 2024 and is projected to reach a revised size of US$ 566 million by 2031, growing at a CAGR of 6.5% during the forecast period.

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AI server is a high-performance computing device designed for artificial intelligence applications. BBU (Battery Backup Unit) plays a vital role in AI server. When the main power supply of AI server fails, the system will automatically switch to BBU power supply, and quickly write cache data stored in dynamic random access memory (DRAM) to the backup solid-state hard disk (SSD) to provide stable power support. The core component of BBU is the battery, which uses lithium battery cells, with the advantages of long life, small size and high efficiency. At the same time, the size and occupied space of BBU are relatively flexible, and can be laid out according to actual needs to improve space utilization.

As an important component of AI server, BBU for AI server plays an important role in power backup, energy efficiency improvement, flexible layout and other aspects. With the rapid development of AI technology and the expansion of application scenarios, the market demand for BBU continues to increase, technology continues to innovate, and application scenarios are further expanded.

North American market for AI Server BBU is estimated to increase from $ million in 2024 to reach $ million by 2031, at a CAGR of % during the forecast period of 2025 through 2031.

Asia-Pacific market for AI Server BBU is estimated to increase from $ million in 2024 to reach $ million by 2031, at a CAGR of % during the forecast period of 2025 through 2031.

The major global manufacturers of AI Server BBU include Delta Electronics, LITEON, Infineon, Panasonic, FSP Group, AES-KY, Dynapack International Technology Corporation., STL Technology, Zhejiang Narada Power Source, etc. In 2024, the world's top three vendors accounted for approximately % of the revenue.

By Type
• 3kW

By Application
• AI Training Server
• AI Inference Server
• AI Inference Training Integrated Server

Key Companies
Delta Electronics, LITEON, Infineon, Panasonic, FSP Group, AES-KY, Dynapack International Technology Corporation., STL Technology, Zhejiang Narada Power Source

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This release was published on openPR.