The most comprehensive integrated data center solutions available today
The need for smart data centers is rapidly expanding, fueled by megatrends like the exponential rise of AI and the increasing demand for real-time data processing and analytics. AI workloads consume 10X more power than traditional search queries - meaning data center owners and operators face an urgent challenge to deliver services efficiently, cost-effectively while meeting sustainability goals.
Our products and solutions are found in the most demanding data centers in the world. From the hidden danger of loud fire suppression discharges to the sustainable solution of free cooling, our portfolio of integrated solutions helps minimize costs, maximize efficiency, and optimize timing when speed matters.
In mission-critical environments like the data center, reliable products and responsive services are everything. Your equipment can't perform below expectations and your security must be cutting edge. For data centers, your building is your product - and Johnson Controls has the integrated solutions to make your data center smarter, safer and more sustainable.
Addressing top data center building priorities
Here's how we drive timely, efficient, sustainable, secure and reliable data center deployments for our clients.
Efficient, scalable & reliable
Achieve 4x Your Energy Savings Target
Case Study: Australian Hyperscale Data Center
A leading hyperscale data center operator in Australia partnered with Johnson Controls to gain deeper visibility into cooling performance, improve energy efficiency, and reduce operational risk.
The project achieved 4x its energy-savings target, delivered more than 1 million kWh in annual energy savings, and generated over $70,000 in cost savings within 8 months.
Improve Cooling Efficiency By Up To 8%
Case Study: UK High-Capacity Data Center
A UK high-capacity data center operated by a global financial services organization collaborated with Johnson Controls to optimize chilled-water plant performance using simulation and real-time data modeling.
The project improved Power Usage Effectiveness (PUE) from 1.42 to 1.296, increased energy efficiency by 8%, and delivered £38,084 in annual energy cost savings.






















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