AI-driven data center construction market to reach $524.37 billion by 2035: Global computing infrastructure enters a long-term expansion cycle

Global data center construction is undergoing a paradigm shift driven by artificial intelligence. According to the report "Data Center Construction Market Size, Share and Trends 2026 to 2035" released by Precedence Research in May 2026, the global data center construction market size is expected to grow from USD 258.56 billion in 2025 to USD 524.37 billion in 2035, at a compound annual growth rate (CAGR) of 7.33%. This growth trajectory not only reflects enterprises' continued investment in computing power infrastructure, but also reveals an industry trend of AI technology penetrating deeply from the application layer to the infrastructure layer. For enterprise IT managers, understanding this market change is crucial for formulating digital strategies and making infrastructure investment decisions.

Market Overview: Structural Changes Behind the Doubling in Scale

According to the report, the global data center construction market reached USD 258.56 billion in 2025, is expected to grow to USD 27.77 billion in 2026, and then expand at a CAGR of 7.33%, reaching USD 524.37 billion by 2035. Notably, North America continues to dominate the global market with a 42% market share, while the Asia-Pacific region demonstrates the strongest growth momentum, with an expected CAGR of 8.72% over the forecast period.

By infrastructure segment, the server segment held the largest share of 55% in 2025, directly reflecting the urgent demand for high-performance computing resources driven by AI training and inference workloads. The networking equipment segment is expected to experience strong growth over the forecast period, as big data analytics and AI applications require greater computing capacity and storage space. In terms of power distribution and cooling infrastructure, cooling systems accounted for the major share in 2025, which is consistent with the heat dissipation challenges posed by the high power density of AI servers. Power distribution systems are also expected to see significant growth, as data center managers seek more flexible and efficient power solutions to support service-oriented architectures.

In addition, by data center tier, Tier 3 data centers generated the highest market share in 2025. This reflects the market's pragmatic balance between reliability and cost. As AI workloads impose higher requirements on continuity and latency, the proportion of Tier 4 data centers is expected to rise in the future.

Technical Analysis: AI Becomes an Endogenous Element of Data Center Construction

The report specifically emphasizes that data center managers have widely adopted artificial intelligence to optimize daily operations. AI-driven predictive analytics can adjust cooling systems in real time to cope with the enormous heat generated by high-density computing. Through more effective cooling, operators can reduce energy costs, improve power usage effectiveness (PUE), and reduce efficiency losses in IT infrastructure. Similarly, predictive analytics can also be used to optimize rack space and power distribution, thereby reducing operating expenses and improving overall operational efficiency.This trend means that AI is not just a workload, but has become the design and operation language of data center infrastructure itself. From the planning stage, new data centers need to consider how to deploy AI management platforms, sensor networks, and automated control layers. For enterprises, this means that the transformation from traditional data centers to AI-native data centers will become an important technological proposition over the next five to ten years.

Business Impact: Rebalancing CAPEX and OPEX

For CTOs, CIOs, and enterprise architects, the core signal from this report is that the investment cycle for data center construction is being significantly extended and deepened by AI. The report clearly states that IT department expansion is the main driver of market growth, with strong demand for data center construction driven by advanced technologies such as IoT, big data analytics, and AI. This directly drives procurement of servers, networking, and storage equipment, increasing enterprise capital expenditure (CAPEX).

However, AI integration also brings opportunities for optimizing operating expenditure (OPEX). Intelligent cooling and power management can significantly reduce energy costs in data centers. Although the report does not provide specific savings figures, in the long run, AI-optimized data centers will gain competitive advantages in electricity and operations, partially offsetting the rise in initial construction costs.

But the report also highlights two major constraints: data privacy and security issues, and high construction costs. For enterprises building their own data centers, security and compliance requirements often drive up construction investment, while difficult data recovery caused by hacker attacks is also a potential risk. Therefore, when making data center construction decisions, enterprises must take security as a core design principle and reasonably assess total cost of ownership (TCO), avoiding a one-sided pursuit of short-term space expansion.

Market Competition: The Dual-Engine Pattern of North America and Asia-Pacific

North America leads with a 42% market share, closely related to the concentrated investment of hyperscale cloud providers, AI startups, and large enterprises. Cloud giants such as Microsoft, Amazon, and Google continue to expand regional data centers in North America to support their AI services and cloud business growth. Meanwhile, investment by the U.S. federal and local governments in data center construction has also become an important driving force.

The Asia-Pacific region is the fastest-growing area with a CAGR of 8.72%, benefiting from the digital transformation of economically and densely populated regions such as China, India, and Southeast Asia. Data center projects from Chinese cloud vendors (such as Alibaba Cloud and Tencent Cloud) as well as countries like Singapore, Japan, and South Korea continue to increase. The report also mentions that government storage needs are also significantly driving data center construction. For global enterprises, the rise of the Asia-Pacific market means they need to strike a finer balance among data sovereignty, compliance, and low latency.

In terms of market participants, the data center construction market is highly fragmented, with many companies competing for new contracts through technological innovation and geographical expansion. This competitive landscape is beneficial to enterprise users, as it provides more solution choices and more flexible pricing, but it also requires buyers to have stronger vendor evaluation capabilities.## Industry Trends: Forward Signals of Green Data Centers and Quantum Computing

The report also disclosed two long-term trends worth noting. First, environmental factors are driving the large-scale construction of green data centers. As greenhouse gas emissions and carbon emission issues receive increasing attention, building data centers that emit no toxic gases and use sustainable energy has become a rigid requirement. Green data centers not only comply with regulatory and ESG requirements but also reduce long-term operating costs through energy-efficient design.

Second, quantum computing is moving from the laboratory to practical application. The report points out that quantum computing has already made significant progress in fields requiring complex processing, such as cryptography and optimization. By 2025, quantum computing is ready to support traditional systems and has the potential to radically change the way data centers operate. This means that future data centers may need to reserve space for quantum computing infrastructure, as well as special temperature control and power supply environments. Although large-scale commercial use of quantum computing still requires time, enterprise infrastructure planners should incorporate it into their long-term roadmaps.

Industry Trend Observation: The Era of AI-Native Data Centers Arrives

From a broader perspective, the sustained growth of the data center construction market is not an isolated real estate boom, but the inevitable result of the convergence of cloud computing, AI, and big data. In the future, data centers will no longer be mere computer rooms, but will become the "digital infrastructure core" integrating computing power, storage, networking, and intelligent management. AI will run through the entire lifecycle from design and planning, construction, to operations and maintenance optimization, and "AI Native Data Center" may become the industry trendsetter for the next decade.

At the same time, multi-region deployment and sovereign cloud needs are developing in parallel. Enterprises need to build distributed infrastructure globally while meeting data regulatory requirements in different countries and regions. Sustainable development has also become a key evaluation criterion for data center construction. The proportion of green energy use, carbon footprint, and water resource utilization efficiency will enter the CIO's decision-making model.

CloudTechDaily Insight

The report data from Precedence Research clearly depicts a fact: the data center construction market has entered a long-cycle expansion phase defined by AI. A compound annual growth rate of 7.33% is at a high level across the entire technology infrastructure sector, and the driving force behind it is not cyclical procurement demand, but the rigid reconstruction of physical infrastructure caused by AI computing workloads.

There are three core implications for enterprise IT strategy:

First, AI must be incorporated into the core of infrastructure planning. Whether building or leasing data centers, intelligent cooling, predictive maintenance, and automated power dispatch should be regarded as basic capabilities; otherwise, competitiveness will be lost in long-term operational efficiency and cost.

Second, regional strategy is becoming a key decision. The dual-core pattern of North America and Asia-Pacific requires global enterprises to reassess deployment locations to balance data gravity, latency, compliance, and cost. At the same time, the synergy between sovereign clouds and edge nodes cannot be ignored.Third, sustainability and quantum computing are no longer distant topics but part of today's design. The initial investment in green data centers will pay off over the next decade through energy savings, while reserving interfaces for quantum computing can avoid redundant construction in the future.

The rapid growth of the data center construction market reflects the collective transformation of the entire cloud computing industry toward AI infrastructure. In this shift, enterprises that treat data centers as strategic net assets rather than mere cost centers will gain greater digital competitiveness.