Delray Beach, FL , Aug. 21, 2026 (GLOBE NEWSWIRE) —

According to MarketsandMarkets™, the Hyperscale Data Center Market is projected to grow from USD 162.79 billion in 2024 to USD 608.54 billion by 2030, at a CAGR of 24.6% during the forecast period. The global market is experiencing rapid expansion as AI, machine learning, cloud computing, and data-intensive applications drive unprecedented demand for large-scale digital infrastructure. Enterprises and cloud providers are investing heavily in hyperscale facilities capable of delivering high-performance computing, scalable storage, and resilient networking while optimizing energy efficiency and operational performance.

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Key Market Highlights

• Market size (2024): USD 162.79 billion

• Projected market size (2030): USD 608.54 billion

• Growth rate: CAGR of 24.6% (2024–2030)

• Fastest growing Region: Asia Pacific

• Years considered: 2019–2030

• Key players: Google, AWS, Microsoft, Oracle, Alibaba, HPE, Arista, Dell, Tencent, and IBM

Why This Market Matters

Hyperscale data centers have become the foundational infrastructure powering the modern digital economy. As AI models, cloud-native applications, big data analytics, and real-time services continue to grow, organizations require computing environments capable of delivering exceptional scalability, performance, and reliability.

Advanced hyperscale facilities combine intelligent automation, predictive resource management, and energy-efficient power and cooling systems to support massive workloads while improving operational resilience and sustainability.

Market Overview

The hyperscale data center market is expanding rapidly as cloud providers and enterprise technology leaders build increasingly powerful infrastructure to support AI, machine learning, IoT, and high-performance computing. Modern hyperscale facilities integrate advanced servers, storage, networking, power distribution, and cooling technologies to deliver continuous availability across large-scale digital environments.

AI-driven monitoring, predictive maintenance, and automated resource optimization are transforming operational efficiency by improving power utilization, enhancing cooling performance, and reducing infrastructure costs while supporting future capacity expansion.

Analyst Perspective

The next generation of hyperscale infrastructure will be defined by intelligent automation and sustainable scalability rather than physical expansion alone. Operators are increasingly designing AI-optimized facilities that combine modular architectures, predictive analytics, and renewable-ready infrastructure to maximize performance under growing compute demand.