Data Center Market Outlook 2030: AI Capex, Power Constraints, and Regional Growth Leaders

Global Data Center Market 2030: AI, Power, and the Infrastructure Crunch

This blog builds on our earlier 2025 outlook, “Datacenter Market Trends and Insights: Growth, Challenges, and Strategies to 2026,” where we tracked the initial surge in AI-driven demand and the emergence of power and permitting bottlenecks. Since then, forecasts have sharpened, hyperscaler capex has soared, and new regions have entered the global race. What we described as emerging constraints are now structural limits and the global data center story has evolved from expansion to critical infrastructure transformation.

The global data center industry is in the midst of a historic transformation. Fueled by the explosive growth of artificial intelligence, hyperscale cloud providers, and the relentless digitization of the economy, the sector is confronting both unprecedented opportunity and systemic constraints. This report synthesizes the latest data, forecasts, and industry insights to provide a comprehensive view of the data center landscape through 2030, with a focus on capacity growth, power dynamics, regional divergences, and the evolving industrial ecosystem.

The AI Capex Surge: Reshaping Global Infrastructure

AI workloads are no longer a niche - they are the central engine of data center expansion. In 2025, AI accounted for just 13% of data center demand; by 2027, this is projected to double to 28%, while traditional cloud and enterprise shares decline. This shift is structural, not cyclical. Hyperscalers - Amazon, Microsoft, Google, and Meta - are deploying AI at scale across products and infrastructure, driving demand for real-time inference, not just batch training. The result: data centers are no longer passive real estate but active “AI factories,” with requirements for 24/7 uptime, flexible capacity, and proximity to end-users.

Capital expenditure tells the story. The Big Four US hyperscalers are expected to spend over $345 billion in 2025 - a 52% year-on-year increase - with a compound annual growth rate (CAGR) of +19% through 2029. Meta alone has raised its 2025 capex guidance to $64–72 billion, while Amazon, Microsoft, and Google are each committing $75–115 billion annually to infrastructure. Nvidia’s data center revenues grew 73% year-on-year in early 2025, with inference demand outstripping supply: for every delayed hyperscale project, three more take its place.

Global Capacity Forecast: A Sixfold Expansion by 2035

Global data center capacity is projected to grow at a 23% CAGR through 2030, with a sixfold increase expected by 2035. The US remains the dominant market, accounting for over 60% of global capacity and 65% of growth through the decade. Northern Virginia’s “Data Center Alley” continues to lead, but secondary markets - Texas, Tennessee, Phoenix, Atlanta, Silicon Valley, Chicago - are gaining momentum, driven by available land, pro-business policies, and (in some cases) access to nuclear power.

China is the second-largest market, with capacity expected to grow 16% annually to 42 GW by 2028 - surpassing today’s entire US market. The Middle East is emerging as a wildcard: UAE and Saudi data center markets are forecast to grow six- and sevenfold, respectively, by 2030, backed by sovereign wealth funds and partnerships with US tech giants.

Europe lags, constrained by energy shortages, slow planning, and capital scarcity. However, secondary markets in Spain, Milan, Zurich, Marseille, Northern France, and Berlin are picking up steam, and data sovereignty concerns are driving new sovereign cloud initiatives. The UK has declared data centers “critical national infrastructure,” while France is leveraging its nuclear base to attract AI supercomputing projects.

The Power Bottleneck: Electricity as the Critical Constraint

Electricity demand from data centers is surging. Globally, data centers consumed about 2% of electricity in 2024; this is projected to exceed 10% by 2035. In the US, data center-driven load growth will add 1% annually to national power demand through the decade, with AI alone accounting for half that growth. Some regions - notably Ireland, where data centers already consume 25% of the grid - are hitting hard limits, leading to moratoria on new connections.

Securing power is now the top constraint for data center development, outpacing even land, fiber, and cooling. Over the next two years, 22% of operators cite securing primary or backup power as the biggest bottleneck, followed by chip/GPU availability (22%) and speed of access to electricity (21%). In the US, the cost and speed of securing electricity are paramount; in the UK, it’s primary/backup power; in Italy, labor shortages; and in Spain, planning permissions.

Costs are rising. Data center rollout costs increased 10% over the past year, with electrical systems, cooling, and grid connection the main drivers. Over the next two years, costs are projected to rise another 11% annually, with electrical systems alone responsible for 60% of the inflation.

Energy Solutions: Nuclear, Gas, Renewables, and Bitcoin Conversions

Nuclear power is entering the mainstream. Microsoft has signed a 20-year PPA for 835 MW from the restarted Three Mile Island nuclear plant; Meta has a similar deal for 1.1 GW from the Clinton Clean Energy Center. Amazon is building data centers adjacent to nuclear plants in Pennsylvania and exploring small modular reactors (SMRs). France, with its 65% nuclear-powered grid, is positioning itself as a haven for carbon-free AI infrastructure.

Natural gas is filling the gap where renewables and nuclear fall short. The Homer City redevelopment in Pennsylvania will convert a former coal plant to 4.5 GW of gas-fired capacity for data centers, reducing emissions by 60–65% per MWh. In Texas, Energy Transfer sees potential for 150 new data centers, all powered by gas, as part of a broader “gold rush”.

Renewables remain essential but face scale and intermittency challenges. Meeting European data center growth with 100% renewables would require 80–90 GW of new wind and solar capacity and €120–140 billion in capex by 2035.

Bitcoin mining conversions are gaining traction. Companies like Core Scientific and IREN are repurposing mining sites - which already have power, cooling, and security - into AI training and inference facilities. While latency is higher than urban colocation, the cost savings are compelling for batch workloads.

Hardware, Construction, and Supply Chain Dynamics

AI server demand is surging, with 956,000 units (8-GPU equivalent) projected for 2025 and over 1 million in 2026 - equating to 9–12 million chips deployed in two years. The hardware mix is shifting: baseboard servers (e.g., NVIDIA H200/B200) are rising from 21% of AI servers in 2024 to 38% in 2026, while custom ASIC-based servers will claim 40% by 2026, especially for inference.

Construction is booming. US data center construction now exceeds $28 billion annually - 36% of all office structure spending - and could reach 10% of total private non-residential investment by 2030. Yet, lead times for critical equipment (generators, turbines, switchgear) remain 100–150 weeks, with normalization not expected until 2029.

Electrical systems are dominated by Siemens (58% market share) and Schneider Electric (50%), with ABB, Eaton, and Belden trailing. In HVAC, Daikin leads (39%), followed by Carrier (27%), IBM (22%), and Schneider (18%). Equinix remains the colocation leader, though hyperscalers are increasingly moving to self-build.

Sustainability and ESG: The Clean Power Premium

Hyperscalers face growing pressure to decarbonize. The “Green Reliability Premium” - the added cost for 24/7 carbon-free electricity - is $40/MWh today, projected to rise to $48/MWh post-2026 as tax incentives expire. This premium amounts to $31 billion globally by 2030, but given hyperscaler EBITDA projections of $1.13 trillion, the impact on profits is modest (2.4–2.8%).

Emissions are rising. Data center carbon output will add over 215 million tons by 2030 - about 0.6% of global energy emissions - making absolute neutrality a moving target. The race is on for clean PPAs, onsite generation, and SMRs.

Regional Deep Dive: US, China, Europe, Middle East

United States

• Capacity: 37 GW in 2024, +30% YoY; forecast to grow 26% annually through 2030.
• Hotspots: Northern Virginia leads, but Texas, Phoenix, Atlanta, and Silicon Valley are rising.
• Power: Nuclear and gas are central to growth; Stargate (15 GW supercomputer) is underway in Texas.
• Constraints: Electricity cost, grid access, and land scarcity in core markets.

China‍

• ‍Capacity: 42 GW by 2028, +16% CAGR; secondary markets in Northern China (e.g., Ulanqab, Datong) are key.‍
• Drivers: ByteDance, Alibaba, Tencent, and Baidu are accelerating AI capex, with the top six internet firms increasing annual spend by 59% to $50+ billion over three years.‍
• Constraints: Chip/GPU supply, not power, is the main bottleneck.

Europe

• ‍Capacity: Lagging US and China, but secondary markets (Spain, Milan, Zurich, Marseille, Northern France, Berlin) are growing.‍
• Drivers: Data sovereignty, AI supercomputers (e.g., Fluidstack in France), and nuclear in France/Nordics.‍
• Constraints: Power shortages, slow permitting (e.g., Dublin moratorium), and less capital than the US.

Middle East

• ‍Capacity: UAE and Saudi markets to grow 6x and 7x by 2030, driven by sovereign wealth funds and US partnerships.‍
• Projects: UAE Stargate (5 GW), Saudi HUMAIN (500 MW+, $5bn+ investment).‍
• Power Mix: Nuclear, solar, and gas; geopolitical and data sovereignty considerations are paramount.

Risks and Alternative Scenarios

Demand resilience is high. Even in downside scenarios (overbuild, weaker cloud growth), global data center occupancy rarely falls more than 4–8 percentage points below peak. The “AI upside” scenario could see occupancy exceed 100% by 2030.

Potential disruptions include slower-than-expected GenAI monetization, supply chain bottlenecks (chips, cap goods), geopolitical/tariff risks, and recession. However, hyperscaler commentary remains bullish: Amazon’s AWS backlog is up 20% YoY; Meta plans to invest “hundreds of billions” long-term; and Nvidia sees “no pullback” in demand.

Bubble fears persist, with Alibaba’s chairman warning of overbuild and some hyperscalers pausing select projects. Yet, for every delayed build, three more take its place, and capex guidance continues to rise.

Investment Implications: A Cross-Sector Opportunity

Data center growth is a multi-sector theme: real estate, construction, capital goods, utilities, energy, renewables, tech (hardware, software, internet), and telcos all stand to benefit. In the US, Prologis sees a 3–4 GW medium-term data center opportunity and 10 GW long-term, with margins of 25–50%.

Vendor landscape: Siemens and Schneider lead in electrical systems; Daikin and IBM in cooling; Equinix in colocation; Saint-Gobain, Holcim, and Buzzi in construction materials. Vertiv, GE Vernova, and Belimo are reporting record orders tied to AI/data center demand.

Clean energy and nuclear are becoming critical differentiators. Companies and regions that secure reliable, scalable, low-carbon power will have a structural advantage in the AI era.

Conclusion

The data center industry is undergoing a once-in-a-generation realignment. AI is not just another workload; it is a new industrial layer, reshaping energy policy, infrastructure economics, and global capital flows. The US remains the epicenter, but China, the Middle East, and select European markets are emerging as major players. Power is the ultimate bottleneck, and solutions such as nuclear, gas, renewables, and Bitcoin conversions will define winners and losers. Despite rising costs and constraints, demand remains resilient, and the long-term outlook is for sustained, structurally tight markets. Companies that adapt quickly by securing power, embracing modularity, and embedding AI-specific hardware will lead through 2030 and beyond.

Discover the Lean Advantage: Offshore Insight Onshore Impact

Lean Research enhances your investment strategy by delegating the detailed grunt work to our offshore analysts, freeing your onshore teams to focus on high-value tasks. With our dedicated full-time members embedded in your operations, we ensure that every piece of analysis not only meets but exceeds your standards. Experience the ease of expanding into new markets and asset classes while driving better investment returns, all in a cost-efficient manner. Lean Research is your partner in redefining asset management efficiency.