How Will AI and ML Surge Reshape Data Center Infrastructures by 2028?

The digital revolution, spearheaded by the burgeoning fields of artificial intelligence (AI) and machine learning (ML), is catalyzing transformative change in how data centers are built and operated. As these technologies hunger for more processing power, data center physical infrastructures (DCPI) must evolve to meet the challenge. By 2028, the value of the DCPI market is expected to surpass $46 billion, propelled by an impressive compound annual growth rate of 11%. This surge underscores the industry’s effort to amplify data centers’ capabilities to handle the intensive computational demands of AI and ML. Such a growth trajectory signals not only a technological but also an infrastructural evolution in the realm of data storage and computation, ensuring the next generation of data centers is equipped to support the advanced requirements of these cutting-edge technologies.

Power and Cooling Innovations

To keep pace with the intense requirements of AI-driven applications, data center infrastructures are undergoing significant enhancements, particularly in power and cooling systems. Rack power densities, once content with 15 kW/rack, are on the brink of a dramatic escalation, estimated to rocket to 60–120 kW/rack. This upsurge is set to transform the prevalent air-cooled heat management traditions, ushering in the era of liquid cooling solutions. These more efficient and effective cooling strategies, indispensable for managing the heat produced by high-density server racks, are expected to flourish, with revenue predictions soaring past $3 billion by 2028.

Market Dynamics and Regional Growth

The majority of growth in the Data Center Physical Infrastructure (DCPI) market is expected to be driven primarily by Cloud and Colocation services, leveraging their vast scales and operational efficiencies for expansion. While the enterprise segment may see slower growth, substantial progress is predicted within regions like Asia Pacific (sans China), North America, and EMEA. In contrast, China and Latin America are on track for more modest advancements. Dell’Oro’s Lucas Beran refers to the current phase as a “calm before the storm,” indicating a time of strategic preparations across the industry. As the sector gears up for the incoming wave of Artificial Intelligence (AI), companies are bracing for the extensive infrastructure investments required to support the swift development anticipated in the AI space. This forward-looking stance embodies the industry’s readiness to tackle the imminent challenges and seize opportunities presented by the next technological frontier.

Explore more

What Businesses Need to Know About Customer Identity Verification

Modern verification toolkits have expanded beyond simple photo ID inspections to include facial biometrics, liveness detection, and automated identity APIs. This shift occurs at a time when digital interactions represent the primary touchpoint between companies and their clientele. In an era where many customers never physically enter a store or meet a representative, the pressure to establish trust is immense.

Is AI the End of Current Blockchain Cryptography?

Current Ethereum and Bitcoin addresses that have broadcast a transaction are more vulnerable because their public keys are already visible on the ledger. This revelation has sent ripples through the cryptographic community, challenging the long-held assumption that decentralized networks would have decades to prepare for the advent of quantum-scale attacks. Instead of waiting for a physically realized quantum computer, researchers

How Is Google Cloud Redefining Legacy IT With AI?

The ability to generate business cases for cloud migration in minutes is replacing the manual spreadsheet modeling that previously slowed down IT departments. This shift marks a fundamental change in how large-scale infrastructure overhauls are perceived by the executive suite, moving away from purely technical discussions to strategic business narratives. In the current landscape of 2026, the rapid adoption of

Top Data Classification Tools and Strategies for 2026

Relying solely on automated machine learning without providing clear policy guidance often results in over-classification, making the entire security system difficult for employees to use. In the current digital landscape of 2026, data classification has transcended its origins as a back-office administrative chore to become a critical pillar of modern cybersecurity and global regulatory compliance. As enterprises manage vast petabytes

Google Updates View-Through Conversion Logic for Demand Gen

The quest for absolute clarity in digital attribution has long been the holy grail for modern marketers seeking to justify their visual media spend across expansive digital ecosystems. The change to a one-pixel threshold moves view-through metrics further away from proving active engagement and closer to measuring mere exposure. This technical adjustment, arriving as part of a broader overhaul of