Newly released research and market analysis illuminate how, as artificial intelligence (AI) continues its rapid expansion across industries, the data center sector—including major data center companies like Iron Mountain Data Centers—is engaged in a step-change evolution to meet its growing demands. JLL’s 2025 Global Data Center Outlook, in many ways, sets the stage for understanding how AI is reshaping the market, highlighting unprecedented demand for data center servers, rising infrastructure challenges, and the need for innovative sustainability solutions. The latest findings from Dell’Oro Group reinforce the viability of these trends. Meanwhile, London-based global property consultancy Knight Frank’s recent forecast provides a comparative view of growth and obstacles in EMEA markets.
JLL’s 2025 Global Data Center Outlook: Deep Dive on 5 Key Trends
JLL’s latest global analysis thus advances the contention that the data center industry is entering an unprecedented transformative phase, propelled by the rapid expansion of AI. The increasing demand for AI-powered applications has led to record-breaking levels of global data center construction, including significant growth in colo data center facilities that offer scalable & flexible solutions. Advances in semiconductor technology are mainly improving processing speeds, enabling larger AI models, & further driving network needs. With each new generation of GPUs, the pace of AI development works, ensuring continued demand for high-performance data center solutions supported by fast data center management practices.
The new JLL report discerns 5 key trends driving the industry in 2025. They are distilled here as follows:
Power Infrastructure limitations
The development of data centers is being constrained by power transmission challenges. While power availability gains attention, the extended timelines required to build transmission lines present a more immediate concern. In many regions, securing regulatory approvals & easements can take over four years, delaying new developments. As a result, site selection criteria are shifting, with developers prioritizing locations based on power availability rather than traditional factors like cost & land size. To manage these constraints, effective data center infrastructure management (DCIM) systems are becoming useful for monitoring energy use, equipment performance, & future scalability. Utilities are also tightening access to Purchase Power Agreements, filtering out risky projects to focus resources on practical developments.
2. The Development of Nuclear Power and SMRs
The Rise of Nuclear Power and SMRs
Nuclear energy is emerging as a preferred solution to meet the developing energy demands of data centers, mainly for AI & high-performance computing. Major tech companies, driven by aggressive net-zero targets, are turning to nuclear power as a clean & stable energy source, aligning with the goals of building a more usable and green data center ecosystem. While large-scale nuclear projects remain limited, SMRs & microreactors are gaining interest. SMRs, giving usable power solutions from 1.5 to 300 megawatts, could transform data center energy strategies, especially for modular data center designs that are leading growth in the modular data center market, if they become commercially viable by 2030. The success of SMRs could mainly affect site selection, facility design, & long-term operational strategies for next-generation data center infrastructure.
3. The Shift to Liquid Cooling
With AI chips using up to 300% more power than previous generations, traditional cooling methods are becoming ineffective. Liquid cooling is now a need for high-density workloads, with hybrid cooling solutions combining liquid & air cooling becoming the rule. New data centers are increasingly designed with liquid cooling infrastructure, while existing facilities are upgrading to rear-door heat exchangers and direct-to-chip technologies. Immersion cooling, while still in its early stages, is use to become a mainstream solution as rack densities continue to grow. Structural challenges, such as reinforced flooring for heavy cooling baths, must be addressed for large-scale adoption.
4. Data Center Investment Landscape
The financial outlook for data centers in 2025 is strong, with an estimated $170 billion in asset value requiring development or permanent financing. JLL Capital Markets highlights how, while investment transaction volumes are expected to increase only moderately, development financing presents a main opportunity. Large-scale projects continue to attract institutional capital, though bid-ask spreads & interest rate fluctuations remain challenges. JLL notes that the majority of development financing is structured at 65% to 80% loan-to-cost, while permanent financing is arranged at 65% to 75% loan-to-value. Meanwhile, as the deals grow larger, JLL notes that club deals are becoming more common, with an increasing number of lenders entering the market.
5. Market Trends & Asset Trading
Despite important investor interest, JLL anticipates that global data center trading volume will see only modest growth in 2025. Historical data shows that global data center investment sales have averaged just $7 billion annually since 2020, significantly lower than the $241 billion average for office assets. Many developers will seek to exit positions and recycle capital, but bid-ask spreads & financing conditions may pose challenges. JLL expects that most owners will hold onto assets, waiting for improved financial conditions before selling.
Conclusion:
Artificial Intelligence is developing data center operations by optimizing energy use, automating tasks, & enabling real-time processing & predictive maintenance. As highlighted in recent data center market reports, AI-driven growth is important to emerging data center market trends. Technologies like immersion cooling in data centers are helping meet growing digital demands while improving efficiency & sustainability. In today’s digital world, adopting AI in data centers is useful for growth.
Did you know?
Safes of the digital world, data centers are rapidly changing in 2025 under the influence of several key trends. Artificial intelligence and the increasing need for intensive computing require more powerful and energy-efficient infrastructures.
FAQ
1. How is AI used in data centers?
AI is used in data centers to manage workloads, improve cooling efficiency, predict system failures, and automate routine tasks. It helps optimize resource allocation and reduces human intervention.
2. What are the benefits of AI-powered data centers?
AI-powered data centers offer increased efficiency, lower energy consumption, reduced operational costs, better uptime, and improved scalability, making them more sustainable and responsive to global digital demands.
3. Can AI help reduce data center energy consumption?
Yes. AI can analyze and manage cooling systems, monitor power usage, and adjust operations in real time, significantly lowering energy consumption and carbon footprint.
4. How does AI impact global economic growth through data centers?
AI-enhanced data centers support the growing digital economy by improving service delivery, enabling faster innovation, and supporting emerging technologies like 5G, IoT, and cloud computing, which contribute to global business expansion.
5. Are AI-driven data centers secure?
AI can enhance data center security by detecting anomalies, identifying cyber threats early, and automating incident response. However, proper oversight and ethical AI use are essential to maintain data privacy and integrity.
