Data Center Construction Market to Reach $524.37 Billion by 2035: Global Computing Power Expansion Driven by AI Infrastructure

Data Center Construction Market to Reach $524.37 Billion by 2035: Global Computing Power Expansion Driven by AI Infrastructure

According to the latest Data Center Construction Market report released by Precedence Research, the global data center construction market size is expected to grow from $258.56 billion in 2025 to $524.37 billion by 2035, at a compound annual growth rate (CAGR) of 7.33%. This growth not only reflects the rigid demand for computing infrastructure driven by the digital economy, but also reveals how AI training and inference workloads are redefining the planning, construction, and operation of data centers. For enterprise CTOs, CIOs, and cloud architects, understanding this trend is key to formulating future IT strategies.

Event Background: Digital Transformation and AI Demand in Resonance

The report shows that the global data center construction market reached $258.56 billion in 2025, and is expected to grow to $277.72 billion in 2026, reaching $524.37 billion by 2035. In terms of regional landscape, North America continues to dominate the global market with a 42% market share, an advantage derived from the dense deployment by large cloud vendors and hyperscale data center operators. Meanwhile, the Asia-Pacific region has become the fastest-growing market with a CAGR of 8.72%, closely related to the accelerated digital transformation and policy support in countries and regions such as China, India, and Southeast Asia.

From a segment perspective, servers account for a 55% share of IT infrastructure, reflecting the strong demand for computing resources from AI and IoT applications. In terms of tier, Tier 3 data centers (i.e., high-availability facilities with redundant capacity and maintainability) contribute the largest revenue share. In addition, cooling infrastructure dominates the power and cooling segment, indicating that thermal management brought by high-density computing has become a construction priority.

Technical Analysis: How AI Is Reshaping Data Center Construction and Operation

AI technology is transforming the data center industry in two ways. First, at the operational level, data center managers are increasingly adopting AI-driven predictive analytics and automation tools to optimize cooling systems in real time. The power density of modern AI training clusters far exceeds that of traditional servers, leading to a sharp rise in heat generation. Through machine learning algorithms, operators can dynamically adjust cooling strategies based on load and environmental changes, thereby reducing energy consumption and improving PUE (Power Usage Effectiveness). The report points out that the application of AI enables operators to optimize rack space and power distribution, reduce operating expenses, and achieve more precise decision-making.

Second, at the design and construction level, AI workloads place new demands on infrastructure. For example, the deployment of GPU clusters requires higher power capacity and liquid cooling solutions, which will drive innovation in data center building structures, power supply systems, and cooling architectures. Currently, many new data centers are adopting liquid cooling systems as a standard configuration to meet the heat dissipation needs of AI training clusters. This trend will directly affect the construction costs and project timelines of data centers.In addition, the report specifically mentions the potential impact of quantum computing. Although quantum computing is still in its early commercialization stage, progress in cryptography and optimization problems has begun to emerge. In the future, quantum computers may serve as accelerators for processing specific tasks in traditional data centers, which will bring new challenges to data center power supply, spatial layout, and security management.

Enterprise Impact Analysis: Cost, Deployment, and Sustainability

For enterprise users, the expansion of the data center construction market means opportunities and pressures in two respects.

Cost Impact: Data center construction costs continue to rise, especially for land, power, and cooling facilities. For enterprises planning to build their own data centers, CAPEX will increase significantly. According to the report, the market size will double from 2025 to 2035, driven by higher unit construction costs, but it also means more third-party service providers will enter the market, allowing enterprises to share costs through colocation and cloud services.

Deployment and Operations Impact: The diversity and high-density nature of AI workloads require enterprises' IT architectures to shift from "general-purpose computing" to "heterogeneous computing." Enterprises need to evaluate whether to build a private cloud, adopt a public cloud, or pursue a hybrid cloud strategy. Tier 3 data centers becoming the mainstream indicates that enterprises require availability of 99.982% or higher, which drives more complex redundancy designs.

Security and Compliance: The report points out that data privacy and security issues are the main constraints on market growth. As data sovereignty regulations (such as the EU GDPR and China's Data Security Law) tighten, enterprises must ensure that data center site selection and operations comply with local regulatory requirements. This may lead to an increase in regional data center deployments, further driving the rise of markets such as Asia-Pacific.

Sustainability: Environmental issues have become a core consideration in data center construction. Green data center design, including the use of renewable energy, efficient cooling technologies, and reducing carbon emissions, is shifting from an "option" to a "necessity." Enterprises that fail to meet ESG requirements may face resistance in financing and from customers.

Market Competition Analysis: Who Benefits and Who Faces Pressure

From a market structure perspective, the data center construction chain involves real estate developers, engineering contractors, IT equipment suppliers, cloud service providers, and telecommunications operators. North America's leading position enables hyperscale cloud providers such as AWS, Microsoft Azure, and Google Cloud to continue benefiting; their large-scale expansion drives demand for construction and power infrastructure. Server suppliers (such as Dell, HPE, Supermicro) and chip manufacturers (such as NVIDIA, AMD) will also grow due to AI server demand.

The rapid growth of the Asia-Pacific market provides opportunities for regional players. China, India, Singapore, and other locations are becoming new construction hotspots. Local data center operators and cloud providers may gain more market share. Meanwhile, the traditional European market may see slower growth due to energy costs and regulatory pressures.Companies under pressure include data center operators that still rely on traditional air-cooling technology, as well as small and medium-sized suppliers that have failed to transition to AI optimization and sustainability in a timely manner. In addition, bottlenecks in power infrastructure could become a common constraint for data centers worldwide, leading to longer construction cycles and higher costs.

Industry Trend Watch: From Scale Expansion to Intelligent and Green Transformation

The strong growth of the data center construction market is not simply linear expansion; it is accompanied by multiple structural changes.

AI-Native Data Centers: Future data centers will be designed around AI workloads, with end-to-end optimization from chips to cooling to network architecture. This is not just a technology upgrade, but a reconstruction of the cost model.

Sovereign Cloud and Regionalization: Data sovereignty requirements are driving countries to deploy localized data centers. The report shows that the Asia-Pacific region is growing the fastest, which is closely related to policy drivers.

Green Data Centers: The adoption of renewable energy, waste heat recovery, and more efficient power supply solutions will become industry benchmarks. PUE will evolve from 1.5 to below 1.2, and liquid cooling technology will become widespread.

Edge Computing Expansion: Although large-scale data centers are the core, the construction of edge nodes will also increase to support low-latency applications. This creates opportunities for modular data centers and prefabricated solutions.

Quantum Computing Integration: Quantum computing may not replace classical computing soon, but hybrid architectures will gradually emerge, and data centers will need to reserve space and special environments for quantum equipment.

These trends indicate that the data center construction market is no longer just about "building facilities," but has become strategic infrastructure for the digital economy. Enterprises must consider these long-term directions in their IT investment decisions.

CloudTechDaily Insight

The doubling growth of the data center construction market essentially reflects the acceleration of global digitalization and AI adoption. AI infrastructure has become the material foundation of enterprise core competitiveness, and data center construction is the "foundation" of this foundation. We observe that North America's leading position will be difficult to shake in the short term, but the rapid rise of the Asia-Pacific region will reshape the global computing power landscape.

For enterprises, the most important takeaway is that data center strategy can no longer be viewed as "the IT department's business" — it should be elevated to the boardroom level. Factors such as cost, sustainability, compliance, and AI adaptability need to be incorporated into long-term planning. Enterprises that can flexibly adopt a combination of colocation, cloud, and self-built models will gain greater competitive advantages in the AI era.

In the next decade, data centers will not only be places for storing and processing data, but also the energy core of an intelligent society. CloudTechDaily will continue to monitor developments in this field and provide in-depth analysis for business decision-makers.