Data Center Insights Data

Data Center Insights Data
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At Nomad Data we help you find the right dataset to address these types of needs and more. Sign up today and describe your business use case and you'll be connected with data vendors from our nearly 3000 partners who can address your exact need.


In the realm of technology and business, understanding the landscape of data center locations across the USA is crucial for a myriad of strategic decisions. Historically, gaining insights into this domain was fraught with challenges. Before the digital revolution, firms relied on manual surveys, industry reports, and word-of-mouth to map out data center locations. These methods were not only time-consuming but often resulted in outdated or incomplete information. The advent of sensors, the internet, and connected devices, alongside the proliferation of software and databases, has dramatically transformed the accessibility and accuracy of data on this topic.

The importance of data in comprehending the intricacies of data center locations cannot be overstated. Previously, businesses were in the dark, waiting weeks or months to understand shifts in the data center landscape. Now, with real-time data, changes can be understood almost instantaneously, allowing for more agile decision-making. This evolution from antiquated methods to modern data-driven approaches underscores the transformative power of technology in accessing and analyzing data center locations.

Technology Data Insights

The journey of technology data in illuminating data center locations has been remarkable. Initially, insights were limited to basic information, but with technological advancements, a more comprehensive understanding has become possible. Technology data providers now offer insights not just on the physical locations but also on the customer and market dynamics surrounding data centers. This category of data has seen exponential growth, fueled by the increasing demand for cloud services and the strategic importance of data centers in digital infrastructure.

Examples of technology data include:

  • Market analysis from Data Center providers
  • Facility size, redundancy, and operator information
  • Enterprise and hyperscale data center lists

Industries such as cloud services, digital realty, and colocation facilities have historically leveraged this data. Technological advances, such as the development of sophisticated data analytics tools, have played a pivotal role in the emergence and acceleration of technology data.

Specific uses of technology data in understanding data center locations include:

  • Supporting market analysis and go-to-market (GTM) requirements for Data Center providers
  • Assessing facility size, redundancy, and identifying key operators in North American markets
  • Understanding enterprise and hyperscale data center dynamics

Technographics Data Insights

Technographics data offers a unique lens through which to view the data center landscape. By mapping business IP/subdomain network footprints and geolocations, this data type helps identify concentrations of network assets, indirectly pinpointing data center locations. The granularity provided by technographics data is unparalleled, offering insights into the service provider and Infrastructure as a Service (IaaS) footprint of businesses in the US and globally.

Examples of technographics data include:

  • IP/subdomain network footprint with geolocation
  • Service provider/IaaS footprint mapping

This data is invaluable for businesses looking to understand the digital infrastructure landscape, including cloud service providers and companies involved in digital transformation initiatives. The advent of advanced data analytics and the expansion of the internet have been critical in the development of technographics data.

Specific applications of technographics data in the context of data center locations include:

  • Identifying concentrations of IPs and network assets to pinpoint data centers
  • Mapping the service provider and IaaS footprint for comprehensive digital infrastructure analysis

Financial Data Insights

Financial data provides a different perspective on the data center landscape, focusing on the economic and operational aspects. This data type encompasses information on data center location, services, utilization, and more, supporting analysis in areas such as cloud services, energy, and critical infrastructure. The 451 Research Datacenter KnowledgeBase is an example of how financial data can offer a global database of colocation and wholesale datacenter facilities, covering extensive data points per facility.

Examples of financial data include:

  • Datacenter location and ownership
  • Capacity (space/power/racks)
  • Leased/available capacity, certifications, and capabilities

Industries such as cloud services, energy, and media have historically utilized financial data to drive strategic decisions. The growth of financial data in this domain is propelled by the increasing complexity and scale of data centers, necessitating sophisticated financial analysis tools.

Specific uses of financial data in understanding data center locations include:

  • Assessing market and region energy demand from data centers
  • Identifying key data center suppliers and likely expansion areas by region
  • Linking data with existing market intelligence for comprehensive asset coverage


The exploration of data center locations through the lens of technology, technographics, and financial data underscores the critical role of data in navigating this complex landscape. The transition from traditional methods to data-driven approaches has revolutionized the way businesses understand and make decisions regarding data centers. As organizations strive to become more data-driven, the discovery and utilization of diverse data types will be paramount in achieving strategic objectives.

The future of data center insights lies in the continuous innovation and monetization of data. Companies are increasingly recognizing the value of the data they have been generating, potentially unlocking new insights into the data center domain. The advent of AI and advanced analytics promises to further enhance the value of historical and modern data, offering unprecedented opportunities for understanding and optimizing data center strategies.


Industries and roles that stand to benefit from data center insights data include investors, consultants, insurance companies, and market researchers. The challenges faced by these sectors, such as understanding market dynamics, assessing risk, and identifying growth opportunities, can be addressed through strategic data analysis. The future of these industries is intricately linked with the ability to leverage AI and data analytics to uncover hidden insights in data, transforming how decisions are made and value is created.

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