Vertiv to Acquire Great Lakes for $200M to Boost AI-Ready Infrastructure Solutions

July 17, 2025
Vertiv to Acquire Great Lakes for $200M to Boost AI-Ready Infrastructure Solutions
  • Vertiv has announced its agreement to acquire Great Lakes Data Racks & Cabinets for $200 million, aiming to strengthen its leadership in high-density, AI-ready infrastructure solutions.

  • The acquisition, valued at approximately 11.5 times expected 2026 EBITDA, is expected to close in the third quarter of 2025, pending regulatory approvals and customary closing conditions.

  • Great Lakes, founded in 1985 and headquartered in Edinboro, Pennsylvania, specializes in designing and manufacturing customized data rack enclosures and integrated infrastructure solutions, with facilities in the U.S. and Europe.

  • This move is set to accelerate deployment of high-density, AI-ready infrastructure by leveraging Great Lakes’ expertise in designing solutions for modern data centers and edge computing.

  • The acquisition also diversifies Vertiv’s geographic footprint, utilizing Great Lakes’ manufacturing capabilities in the U.S. and Europe to mitigate supply chain risks and tariffs.

  • Key growth drivers include cross-selling opportunities, tariff mitigation through U.S. manufacturing, and targeting the expanding $1.2 billion edge infrastructure market, with the AI infrastructure market projected to grow at a 25% CAGR through 2030.

  • The combined entity is expected to generate over $500 million in additional annual revenue as AI workloads increasingly dominate data center capacity.

  • Vertiv’s recent 17% revenue increase in 2024 underscores its operational strength and market position to capitalize on the booming AI infrastructure sector.

  • This strategic acquisition signals a key inflection point for Vertiv, promising scalable growth and enhanced customer retention in the rapidly expanding AI infrastructure market.

  • With a strong balance sheet and potential EBITDA growth, the deal offers a compelling investment opportunity for both risk-tolerant and conservative investors.

  • Great Lakes’ modular and highly customizable designs will support rapid scalability for edge computing and hyperscale AI deployments, reducing deployment times and costs.

  • However, risks include the need for seamless integration and potential regulatory hurdles that could delay the transaction’s completion in Q3 2025.

Summary based on 8 sources


Get a daily email with more AI stories

More Stories