According to MarketsandMarkets™ research forecasts, the artificial intelligence data center market is projected to reach a value of $100 billion by 2030, with a compound annual growth rate (CAGR) of up to 30%. The recent rise of generative artificial intelligence (AI) has significantly increased the demand for data centers supporting AI workloads, including deep learning model training and inference. Traditional data center infrastructure, designed for general-purpose computing, struggles to meet the parallel processing, high throughput, and low latency requirements of AI. This is accelerating capital investment in specialized AI data centers equipped with advanced hardware such as GPUs, TPUs, low-bandwidth memory, and ultra-high-speed interconnects. The substantial power supply and cooling demands of massive hardware components are further driving data centers to adopt sustainable cooling and power management solutions.

Within the solution segments, the computing solutions segment is the most attractive due to GPU and accelerator demand and is expected to hold the largest market share by 2025. The thermal management solutions segment ranks second with a 37% CAGR, featuring innovative technologies including Direct-to-Chip (D2C) Cooling and energy efficiency digital twin systems. The power management solutions segment, integrating Uninterruptible Power Supplies (UPS), renewable energy, and Battery Energy Storage Systems (BESS), is valued at $7 billion by 2025, placing third. These three core segments collectively drive the development of high-performance, scalable, and eco-efficient AI data centers, making them key priorities for market growth and investment.

Five major technology trends will reshape the future of AI data centers: Quantum computing can break classical computing limits to accelerate complex AI model processing; Direct-to-Chip (D2C) Cooling enables high-density AI workloads through direct processor contact cooling; 3D stacking technology enhances computational density through vertical layering; Silicon photonics enables low-power, high-speed transmission using optical signals; Clean energy (solar and nuclear) ensures sustainable power supply for high-energy-consumption AI operations. Geographically, the United States leads the market with multi-billion-dollar projects like "StarGate" dominated by companies such as OpenAI, AWS, and Microsoft; India's AdaniConneX and ST Telemedia plan billions in investments; the UK and Italy receive Microsoft investments in energy-efficient infrastructure; South Korea's SK Telecom and LG U+ deploy cutting-edge GPUs and cooling technologies; Saudi Aramco's planned 1.5-gigawatt AI inference data center in collaboration with Groq is also drawing attention.
url:https://www.globenewswire.com/news-release/2025/08/06/3128414/0/en/Future-of-Data-Center-AI-Data-Center-Market-worth-100-billion-by-2030-MarketsandMarkets.html