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By AI, Created 11:21 AM UTC, May 20, 2026, /AGP/ – The global data center rack and enclosure market is projected to rise from $3.58 billion in 2025 to $8.16 billion by 2032, according to Maximize Market Research. AI workloads, hyperscale buildouts and liquid-cooled, 1 MW-capable rack designs are reshaping how data centers are built and powered.
Why it matters: - AI infrastructure is pushing data centers beyond traditional air-cooling and rack-power limits. - The market for racks and enclosures is expected to more than double by 2032, signaling higher demand for dense, modular and liquid-cooled infrastructure. - The shift affects hyperscalers, colocation providers, rack vendors and enterprise buyers as compute loads move higher.
What happened: - Maximize Market Research estimated the global Data Centre Rack and Enclosure Market at $3.58 billion in 2025. - The firm projects the market will reach $8.16 billion by 2032, at a 12.5% compound annual growth rate. - The report ties growth to AI workloads, cloud adoption, rising data traffic and demand for scalable infrastructure. - Maximize Market Research published the report on May 4, 2026. - The report is available through a full report page and a sample copy request.
The details: - AI workloads from NVIDIA, AMD and custom chips are driving rack power densities beyond air-cooling limits. - Hyperscalers including AWS, Microsoft, Google and Meta are investing heavily in AI infrastructure. - 5G and IoT expansion is increasing demand for compact, modular rack solutions in edge data centers. - High costs for liquid-cooled enclosures, modular power units and intelligent rack systems are slowing adoption among small and midsize enterprises. - Complex integration across power, cooling and cable management remains a barrier for organizations without deep technical expertise. - Edge computing is creating demand for compact rack solutions in micro data centers. - Infineon and NVIDIA’s 800V HVDC architecture is designed to support ultra-high-density racks beyond 1 MW. - Schneider Electric’s digital twin platform is positioned as a tool for real-time optimization. - Enclosed racks led the market in 2025 because they support security, airflow management and cooling in high-density deployments. - IT and telecom was the largest vertical, while BFSI and healthcare were growing fast. - The U.S. led globally, supported by hyperscale data centers and investment in AI and colocation infrastructure.
Between the lines: - The rack is no longer just a passive frame. It is becoming a strategic layer of AI infrastructure. - Control over rack design is emerging as a competitive advantage as compute density rises. - The market is shifting toward vendors that can combine power, cooling, digital management and modular deployment. - M&A activity underscores that shift. Eaton’s $1.4 billion Fibrebond deal and Vertiv’s $200 million Great Lakes Data Racks acquisition both target higher-density infrastructure capabilities. - Microsoft, Google and Meta’s Mt. Diablo OCP rack standard points to industry convergence around a 1 MW-capable, ±400 VDC architecture. - North America currently leads because of hyperscale AI spending, compliance-driven demand and early OCP standard-setting. - Asia Pacific is the fastest-growing region, driven by China, India, Japan and Taiwan.
What’s next: - Rack and enclosure design is likely to keep moving toward liquid cooling, higher power density and pre-engineered modular systems. - OCP-aligned standards such as Mt. Diablo could influence global rack specifications through 2032. - Additional acquisitions and product launches are likely as vendors race to support AI factories, hyperscale campuses and edge deployments. - Asia Pacific’s hyperscale expansion is expected to keep narrowing the gap with North America in growth rate.
The bottom line: - AI is turning the data center rack into one of the most important parts of the infrastructure stack, and the market is responding with bigger, denser and more power-intensive designs.
Disclaimer: This article was produced by AGP Wire with the assistance of artificial intelligence based on original source content and has been refined to improve clarity, structure, and readability. This content is provided on an “as is” basis. While care has been taken in its preparation, it may contain inaccuracies or omissions, and readers should consult the original source and independently verify key information where appropriate. This content is for informational purposes only and does not constitute legal, financial, investment, or other professional advice.
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