Data Infrastructure

Data Infrastructure Is the Foundation Layer of the AI Economy

The global data infrastructure market is projected to exceed $200 billion by 2028, driven by the exponential growth of data volumes from AI training, IoT sensors, genomics, satellite imagery, and enterprise digital transformation. Every AI application, every analytics workflow, and every data-driven decision ultimately depends on the infrastructure that stores, processes, and delivers data at scale.

The current investment cycle is the most dynamic in the sector's history. Three forces are converging. First, AI workloads are generating unprecedented demand for data storage, processing, and movement - creating bottlenecks that existing infrastructure was not designed to handle. Second, the rise of real-time analytics and streaming data requires architectures fundamentally different from traditional batch processing systems. Third, data governance and sovereignty requirements are adding complexity that creates opportunities for specialized infrastructure providers.

The most compelling companies in this category are those building foundational infrastructure that becomes more valuable as data volumes grow. Companies like Fundamental Technologies ($225M Series A at $1.4B valuation) are reimagining how organizations store and analyze data at massive scale. The billion-dollar Series A valuation reflects the market's conviction that next-generation data infrastructure represents a generational platform opportunity.

Uhlig Capital's data infrastructure exposure includes Fundamental Technologies, Starcloud (space-based computing), and Seqera Labs (bioinformatics pipelines). These companies address data infrastructure challenges across terrestrial, orbital, and scientific computing - reflecting the breadth of opportunity in building the foundation layer of the data economy.