Data Center Life Cycle Services Market Competitive Analysis

The global Data Center Life Cycle Services Market is carefully researched in the report while largely concentrating on top players and their business tactics, geographical expansion, market segments, competitive landscape, manufacturing, and pricing and cost structures. Each section of the research study is specially prepared to explore key aspects of the global Data Center Life Cycle Services market. For instance, the market dynamics section digs deep into the drivers, restraints, trends, and opportunities of the global Data Center Life Cycle Services market. With qualitative and quantitative analysis, we help you with thorough and comprehensive research on the global Data Center Life Cycle Services market. We have also focused on SWOT, PESTLE, and Porter’s Five Forces analyses of the global Data Center Life Cycle Services market.

What are the market factors that are explained in the report?

Key Strategic Developments: The study also includes the key strategic developments of the market, comprising R&D, new product launch, M&A, agreements, collaborations, partnerships, joint ventures, and regional growth of the leading competitors operating in the market on a global and regional scale.

Key Market Features: The report evaluated key market features, including revenue, price, capacity, capacity utilization rate, gross, production, production rate, consumption, import/export, supply/demand, cost, market share, CAGR, and gross margin. In addition, the study offers a comprehensive study of the key market dynamics and their latest trends, along with pertinent market segments and sub-segments.

Analytical Tools: The Global Data Center Life Cycle Services Market report includes the accurately studied and assessed data of the key industry players and their scope in the market by means of a number of analytical tools. The analytical tools such as Porter’s five forces analysis, SWOT analysis, feasibility study, and investment return analysis have been used to analyze the growth of the key players operating in the market.

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Data Center Day: Inspiring the Next Generation of Industry Leaders

The first International Data Center Day will be October 29 as an effort to raise awareness of the data center industry and to inspire the next generation of talent. The initiative, launched by 7×24 Exchange International, is the latest in a series of efforts to address a looming talent gap for data centers and cloud computing infrastructure.

“International Data Center Day is a celebration of the data center industry and the mission critical profession,” said Juli Ierulli, marketing manager of Caterpillar, Inc.. “Our goal for this initiative is to raise awareness of the data center industry and to share the vast variety of careers that are available for the next generation of professionals. By sharing how data centers make a difference in our daily lives and the career opportunities we are helping to ensure the future of the industry.”

The Oct. 29 event, scheduled during the annual 7×24 Exchange Fall Conference, is designed to connect with future generations and ensure a steady flow of skilled labor, enhance the public image of data centers. The events objectives include:

Provide resources to educate people about what data centers are and how they work.

Illustrate the importance of the data center industry on our daily lives.

Share information on pursuing a career as a data center professional.

Create more opportunities for mission critical firms to recruit future employees

As Data Center Frontier noted in our 2019 forecast and executive roundtable, finding quality staff is becoming a challenge, and will grow in urgency in coming years with the graying of the existing workforce. The industry is redoubling efforts to hire and train military veterans, and at least one service provider is refocusing its business to address the growing need for data center construction and facilities management professionals. We showcase current openings for data center professionals at the Data Center Frontier Jobs site (a partnership with Pkaza Critical Facilities Recruiting).

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Wave of Cloud Data Center Growth Forecasted for Emerging Markets

With the biggest data center markets for hyperscale cloud platforms already well served by data center providers – and some of the biggest ones now oversupplied – the largest growth opportunity today is outside those metros, in places that haven’t historically been hot markets for data center real estate.

That’s according to Peter Hopper, co-founder and CEO of the digital infrastructure-focused investment advisor DH Capital. On Tuesday, Hopper delivered his annual market overview at 451 Research’s Hosting & Cloud Transformation Summit in Las Vegas. (DH has been one of the HCTS’s biggest sponsors for most of the event’s 15 years running.)

But there are still many population centers around the world that haven’t been saturated with hyperscale cloud infrastructure. Places like Moscow or Budapest haven’t seen the megawatts upon megawatts of data center capacity built and leased in the biggest markets, Hopper said. “I would say that’s probably likely to change going forward.”

As digital content consumption and adoption of cloud services continues growing, companies will need to build data center infrastructure in more densely populated metros to support that growth. “International expansion is key to all the key operators,” he said.

Hopper brought the move into Brazil by Digital Realty as an example. Digital last year paid $1.8 billion for Ascenty, which operates data centers in four Brazilian markets, a deal DH was involved in. The facilities became the San Francisco-based data center provider’s first assets in Latin America.

Seeing cloud adoption picking up and the low level of cloud penetration in Brazil, it was a given that a lot of data center capacity would have to be built there, Hopper said.

“Cloud adoption and cloud growth, both public and private, is exploding worldwide, and that is driving everything,” he said. “It’s the most powerful trend in IT out there, and it’s driving M&A and investment activity across the world.”

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Why is Building a Modernized Data Center so Important for Organizations?

The increase in the demand for digital services causes data centers to have difficulties in complying with all the specifications required of them. For the operation of these centers, large amounts of energy are needed so that nothing fails and the information is available at all times.


For this to happen, it is important to have a good design and correct technical components, which is a challenge for operators as they need to find a balance between managing a complex list of demands and operating according to the standards.

According to Mathias Loacher, Head of Engineering of the 1 & 1 IONOS Data Center, the key elements of a modern data center are:

Availability

When talking about availability, a system of classification by levels of the Uptime Institute is usually used. This system consists of four levels, each with a percentage of availability. The lowest Tier 1 level means 99.67% availability, or 28 hours of inactivity per year. Level 4, on the other hand, means 99.99% availability and only 26 minutes of inactivity per year.

The level of availability varies depending on certain factors such as georredundance, where data centers are built in different areas and where all information is backed up . If one of them falls, the information would be served from another.

Energy efficiency

The energy efficiency of a data center can be improved, but it depends on availability. For example, for a Level 4 installation, redundancy causes a greater need for energy, since additional technical equipment is needed, which can only work with a partial load.

Construction time

The time for the construction of the data center can cause a decrease in the availability of information. For example, in the event that there is no time for testing and correct possible errors that appear.

Easy drive

A modern data center must be able to respond to various needs such as energy distribution, cooling systems and space. If what is sought is to offer greater availability, the infrastructure will be more complex, which translates into a greater number of errors.

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Best Data Center Operator at 2019 NGON & Optical DCI Awards

These recognize the achievements made by operators, data centers and solution providers in the optical networking industry.

It’s been an eventful year for GlobeNet when it comes to award honors. GlobeNet is delighted to announce that it has been recognized as the Best Data Center Operator at the 2019 NGON & Optical DCI Awards. The esteemed awards recognize the achievements made by operators, data centers and solution providers in the optical networking industry. The winners were announced during the NGON & DCI World event, which took place on Wednesday, May 22, at the Acropolis in Nice. This latest award announcement comes just a few days after GlobeNet took home two trophies from the Carrier Community Global 2019 Awards in Berlin, Germany.

“2019 has been quite a productive year for GlobeNet,” states Eduardo Falzoni, CEO of GlobeNet. “We are committed to helping our clients expand and enhance their own network infrastructures – no matter their location. These award honors are a testimony that our hard work and commitment to our current and potential customers is paying off. We are truly thrilled to be recognized as innovators of our industry delivering an exemplary connectivity solutions and user experience.”

With data centers and colocation facilities in Colombia, Brazil and the United States, GlobeNet offers its customers leading class colocation and connectivity services, allowing them to grow as they desire across North and South America. In the US, the company has facilities in New York and Florida, which are key hubs for traffic entering and leaving the North American markets. Likewise, GlobeNet’s data centers in Barranquilla, Colombia as well as in Fortaleza and Rio de Janeiro, Brazil feature Internet Exchange (IX) points that support the high-speed flow of mission-critical traffic throughout the region.

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Artificial Intelligence In Data Centers

Today, however, AI is mostly being used in data centers to improve existing functions and processes. Use cases are focused on delivering tangible operational savings, such as cooling efficiency and alarm suppression/rationalization, as well as predicting known risks with greater accuracy than other technologies can offer.

AI is currently being applied to perform functions and processes faster and more accurately. In other words, not much new, just better. The table is taken from an Uptime Intelligence report Very smart data centers: How artificial intelligence will power operational decisions and shows AI functions/services that are being offered or that are in development; with a few exceptions, they are likely to be familiar to data center managers, particularly those that have already deployed data center infrastructure management (DCIM) software.

So where might AI be applied beyond these examples? We think it is likely that AI will be used to anticipate failure rates, as well as to model costs, budgetary impacts, supply-chain needs and the impact of design changes and configurations. Data centers not yet built could be modeled and simulated in advance, for example, to compare the operational and/or performance profile and total cost of ownership of a Tier II design data center versus a Tier III design.

Meanwhile, we can expect more marketing hype and misinformation, fueled by a combination of AI’s dazzling complexity, which only specialists can deeply understand, and by its novelty in most data centers. For example:

Myth #1: There is a best type of AI for data centers

The best type of AI will depend on the specific task at hand. Simpler big-data approaches (i.e., not AI) can be more suitable in certain situations. For this reason, new “AI-driven” products such as data center management as a service (DMaaS) often use a mix of AI and non-AI techniques.

Myth #2: AI replaces the need for human knowledge

Domain expertise is critical to the usefulness of any big-data approach, including AI. Human data center knowledge is needed to train AI to make reasonable decisions/recommendations and, especially in the early stages of a deployment, to ensure that any AI outcome is appropriate for a particular data center.

Myth #3: Data centers need a lot of data to implement AI

While this is true for those developing AI, it is not the case for those looking to buy the technology. DMaaS and some DCIM systems use prebuilt AI models that can provide limited but potentially useful insights within days.

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