AI Data Center Market Seen Reaching USD 84.52 Billion by 2032

What the forecast says

Maximize Market Research puts the expected revenue expansion at USD 67.57 billion between 2025 and 2032. The report uses 2025 as its base year, covers a forecast period of 2026 to 2032 and draws on historical data from 2020 to 2025.

The firm says growth is driven by rising demand for AI computing infrastructure, generative AI applications, machine learning and large language models. Investments by hyperscale cloud providers and AI companies are supporting the build-out of specialized data centers able to handle high-density computing workloads, according to the report.

Higher rack power density and rising electricity needs are also pushing spending on direct-to-chip liquid cooling, immersion cooling, power distribution and energy management. Sovereign AI initiatives and regional computing investments are cited as further support through 2032.

Hardware, hyperscale and training lead

The report breaks the market down by component, data center type and workload.

• Component: Hardware was the largest segment in 2025, with approximately 66% of the market. Software and services contribute through infrastructure management, workload orchestration, energy management, design, integration and managed services.
• Data center type: Hyperscale facilities accounted for approximately 62% in 2025, backed by investment from major cloud providers and technology companies.
• Workload: Training held approximately 58% in 2025. Inference is expected to grow fastest during the forecast period as AI applications spread across enterprise, cloud and edge environments.

The report also lists edge, enterprise, colocation and neocloud or GPU-as-a-Service providers among the data center types, and names air cooling, direct-to-chip liquid cooling, immersion cooling and rear-door heat exchangers as the main cooling technologies.

Regional picture and key players

North America is described as a leading market for 2026 to 2032, helped by major hyperscale providers, AI technology companies and large data center projects. The report points to developments in Texas, Louisiana, Wisconsin and Ohio. Asia-Pacific is seeing growth in India, Malaysia, Japan and South Korea. Europe is focused on regional computing capacity and data sovereignty, while the Middle East is drawing investment through sovereign AI programmes. South America is gradually building its ecosystem, supported by renewable power availability.

Major players named in the report include Microsoft Corporation, Amazon Web Services, Alphabet (Google Cloud), Meta Platforms, Oracle Corporation, Equinix, Digital Realty and NVIDIA Corporation. The longer list also includes CoreWeave, Nebius Group, Lambda, Vertiv Holdings, Schneider Electric and Dell Technologies.

A gigawatt-scale example in the UK

The release highlights a project announced in November 2026, in which Drax partnered with Brookfield and AI infrastructure platform Radiant to develop an AI data center exceeding 1 GW at Drax Power Station in northern England. The project is expected to attract more than USD 26 billion in investment. The first phase is planned to begin commercial operations in early 2028, subject to required approvals and investment decisions.

What it means for the market

In its analyst perspective, Maximize Market Research says investments in hyperscale facilities, high-density hardware, advanced cooling and power infrastructure are expected to remain important growth factors. While training continues to support demand, the growth of inference is creating opportunities for colocation, edge facilities and neocloud providers, according to the firm.

The firm also expects companies that secure reliable power capacity and build energy-efficient, liquid-cooled AI infrastructure to be better positioned to capture opportunities through 2032. These are the research firm's projections and not confirmed outcomes.