Edge data center infrastructure market to reach $106 billion by 2035
A market research report from DataM Intelligence projects the global edge data center infrastructure market to grow from $15.19 billion in 2025 to $106.48 billion by 2035. The growth is driven by the increasing demand for low-latency computing, AI inference, and 5G-enabled services that require distributed infrastructure.
Key Takeaways
- Market size is expected to expand at a 21.5% CAGR over the next decade as enterprises move away from centralized cloud models.
- Microsoft is investing $10 billion in Japan through 2029 to expand AI infrastructure and regional computing capacity.
- SoftBank and Mitsubishi Heavy Industries are testing high-speed AI inference using AITRAS technology at the Yokohama Hardtech Hub.
- Vertiv acquired Utility Innovation Group in September 2026 to integrate microgrid controls and advanced power systems into edge deployments.
Why It Matters
The massive capital injection into edge data center infrastructure signals a fundamental shift in how high-bandwidth content and AI-driven personalization are delivered. By moving compute resources closer to the end user, streaming platforms can significantly reduce latency and backhaul costs while enabling more complex real-time metadata processing. This distributed model allows the broader ecosystem to support 5G-dependent services that centralized hyperscale environments cannot handle efficiently. As hardware providers like Schneider Electric and Eaton Corporation scale modular solutions, the industry should monitor the adoption rate of hybrid edge deployments, which combine cloud scalability with localized processing for latency-sensitive workloads.
Additional Context
EdgeConneX has emerged as one of the most aggressive builders of distributed data center capacity in North America. In early 2025, the company announced plans to expand its portfolio beyond 100 sites across 40 markets, positioning itself as a direct competitor to hyperscale providers for latency-sensitive workloads. That footprint includes purpose-built facilities designed for AI inference and content delivery, which aligns with the demand drivers cited in the DataM Intelligence forecast. Equinix, meanwhile, has pursued a complementary strategy through its xScale program, which targets large-scale deployments while maintaining metro-edge presence. Equinix reported in its Q2 2025 earnings call that its interconnection revenue grew 12% year over year, driven in part by enterprises seeking low-latency connectivity between distributed sites.
On the investment and regulatory side, edge data center construction has attracted significant private equity and infrastructure fund interest. Bain Capital and SoftBank announced a joint venture in late 2025 to develop edge and mid-scale data centers across Asia-Pacific, signaling that institutional investors view distributed compute as a distinct asset class separate from hyperscale campuses. In the United States, several states have introduced expedited permitting processes for data center development near utility substations, though Virginia's 2025 legislative session saw proposals to impose new moratoriums on data center construction in certain counties due to grid capacity concerns. These regulatory friction points could slow the pace at which edge capacity comes online relative to market projections.
From a technical standpoint, the streaming and CDN industries are already testing edge compute for real-time video processing. Akamai announced in mid-2025 that it had deployed GPU-equipped edge nodes for AI-driven video optimization across its distributed platform, targeting adaptive bitrate decisions and content-aware compression at the network edge. Schneider Electric has responded to this demand by launching its EcoStruxure Modular Data Center line in early 2025, a prefabricated solution designed for rapid deployment at cell tower sites and utility substations. Vertiv similarly introduced its Vertiv Edge platform targeting sub-500kW deployments with integrated cooling and power management, addressing the thermal challenges of running inference workloads in compact, unstaffed locations. These product launches indicate that the hardware supply chain is maturing in parallel with the market growth projections.
Read full article at openpr.com
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