The data center colocation market is projected to showcase a considerable growth rate during the forecast period. Strategically implemented and paired with skilled human oversight, technologies such as AI, big data, and IoT can produce a multitude of new efficiencies for data centers. According to Gartner, an estimated 30% of the data centers that fall short of adequately preparing for such technologies will no longer be economically or operationally feasible by 2020. In light of this stat, it is certain that IT giants requiring data centers will invest in a solution that will assist them in making the most of these technologies, which is anticipated to drive growth to the data center colocation market ultimately.

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Adoption of predictive analytics to optimize workload distribution, machine learning algorithms to cool things down for better data energy efficiency, and AI to mitigate staffing shortages have increased substantially in data centers. A considerable rise in big data is a major concern for enterprises to safely store and manage the huge amount of data. With the growing digitalization across the globe, big data is on a continuous rise. According to the World Economic Forum, the connected world is producing data at a pace that is unprecedented in human history. Currently, data is no longer utilized for covering past activities; it is helping the manufacturers in foreseeing risk, predicting future, improve customer experience, and understand their extended value chain.

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Several researchers have discovered a potential connection between robust data management strategy and companies’ financial performance. This enables businesses to reach the market faster with products and services that are efficiently associated with customer needs. Thus, the increasing presence of big data in data centers, which fuels the data center colocation market.Further, data centers consume a massive amount of power in managing the computing needs of organizations ranging from mid-sized to large-sized. Whilst, some of the consumption roots directly from servers’ storage and compute operations, a large amount of it stems from data centers’ cooling functions.

In pursuit of improved data center energy efficiency, companies are utilizing AI to develop machine learning algorithms to optimize their cooling efficiency. For instance, in 2019, DeepMind Technologies, a UK-based IT company, and Google experimented with AI to optimize their cooling activities. As of September 2019, the project has been considered a success as the application of DeepMind’s machine learning algorithms has decreased the energy used for cooling in Google’s data centers without compromising on server performance.

Global Data Center Colocation Market Segmentation

By Solution Type

Retail Colocation
Wholesale Colocation

By Verticals

BFSI
It & Telecom
Healthcare
Government And Defense
Others

Global Data Center Colocation Market – Segment by Region

North America

United States
Canada

Europe

Germany
United Kingdom
France
Spain
Italy
Rest of Europe

Asia-Pacific

China
Japan
India
Rest of Asia-Pacific

Rest of the World

Latin America
Middle-East Africa

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