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. As an estimate, around 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 market ultimately. 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.
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A considerable rise in big data is a major concern for enterprises to safely store and manage a 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 aiding the manufacturers in foreseeing risk, predicting future, improve customer experience, and understand their extended value chain. For data tracking and capture, manufacturers now have access to more resources. Data is being obtained from conventional sources including classic consumer surveys, and more innovative applications such as the IoT and smart sensors to capture machine readings.
According to the WEF in 2017, more than 4 billion people are connected to the internet compared to just 2.3 million in 1990. These billions of individuals are generating data every second, which has led to the growth of big data. 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 market in the near future.
In earlier decades, IT experts were responsible for optimizing the performance of their company’s servers, in order to equally distribute workloads across the data center. However, due to limited resources to meticulously monitor workload distribution remains difficult for IT professionals to manage the circulation efficiently. By the use of AI and the adoption of a predictive analytics-powered management tool, it is manageable to distribute most of the responsibilities. With time, the services have become efficient, and the adoption of predictive analysis algorithms increases in the data centers, which contributes significantly to the growth of the data center market.
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Global Data Center Market- Segmentation
By Connectivity Type
• Enterprise Data Center
• Managed Services Data Center
• Colocation Data Center
• Cloud Data Center
By Component
• Network Infrastructure
• Storage Infrastructure
• Computing Resources
By Vertical
• BFSI
• IT & Telecom
• Healthcare
• Government and Defense
• Others
Regional Analysis
North America
• The US
• Canada
Europe
• Germany
• UK
• France
• Spain
• Italy
• Rest of Europe
Asia-Pacific
• China
• Japan
• India
• Rest of Asia-Pacific
Rest of the World
• Latin America
• Middle East & Africa
Company Profiles
• Amazon Web Services, Inc.
• Apple Inc.
• AT&T, Inc.
• BT Group PLC
• China Telecom Corp., Ltd.
• China Unicom, Ltd.
• Cisco Systems, Inc.
• CoreSite Realty Corp.
• CyrusOne Inc.,
• Cyxtera Technologies, Inc.
• Digital Realty Trust, Inc.
• Equinix, Inc.
• Google LLC
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