Technology Convergence in Data Centers: From struggles to stability

This GlobalData whitepaper, authored by Supreet Ray (Associate Director, Industrials Consulting), examines how AI-workload growth is straining data-center infrastructure through "high power consumption, extreme heat generation, water scarcity, and grid instability." It tracks the global data-center project pipeline (projects over USD 25 million, from pre-planning through execution), sizing the total opportunity at "USD 2.5 trillion" and breaking down regional share: Americas "55%," Europe "22%," South/Southeast Asia and Australasia "12%," Northeast Asia "7%," and Middle East & North Africa "4%."

GlobalData is a pipeline, clinical-trial and market-intelligence data provider, similar in kind to Cortellis, tracking hundreds of thousands of drugs across their full lifecycle.

This sits in the Data Providers stage of the AI use-case lifecycle: Named examples from the real-world-data, claims and competitive-intelligence providers pharma AI systems are trained on, benchmarked against, or run inside of.