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Green Data Center Market 2018-2024 Demand and Revenue With Players - IBM Corporation, Huawei Technologies, Siemens AG, Microsoft, Verne Global, Colocation America, Green House Data

02-26-2019 06:04 AM CET | IT, New Media & Software

Press release from: marketstudyreport.com

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Green Data Center Market

Green Data Center Market

Market Study Report LLC adds 2018-2024 Global Green Data Center market report that offers an exhaustive coverage of the industry with brief analysis, data charts, figures, statistics that help take business decisions, company profiles and more.

A key factor promoting the growth of the green data center market is that it allows companies to reduce their operational costs by utilizing strategies such as waste recycling, usage of renewable energy sources for cooling and power, and identifying dead or unused networking devices such as servers. In 2017, conventional U.S. data centers were reported to consume over 90 billion kilowatt-hours of electricity and are anticipated to increase to over 140 billion kilowatt-hours, costing businesses over USD 13 billion annually in electricity bills. In such a case, high costs can reduce the overall profits generated by the company. The replacement of conventional equipment can provide over 20% savings annually to consumers, boosting the green data center market growth.

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Green Data Center Market is projected to reach a revenue of over USD 25 billion by 2024. The high focus of government bodies across the world pushing organizations to reduce their carbon footprint and electricity consumption is driving the demand for the green data center market. For instance, the growth of the Chinese digital economy and the rise in conventional data center construction projects in the country have led to the government launching initiatives to enforce the adoption of energy-efficient technologies. Additionally, in 2015, it issued the Guideline for Pilot Projects of Green Data Centers (GPPGDC), which provided organizations with information on ways to lower the average PUE.

The segmentation of green data center market by component indicates that the solutions segment dominates in terms of revenue by over 76%. The high growth of the segment is largely attributed to the high demand for management software solutions, which allow the operator to identify the faults in the high-power usage and recommend preventive measures. The software also allows to identify unevenness in cooling and locate servers and devices, which consume energy that is above their required threshold.

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The colocation end-use segment is the largest consumer in the green data center market and has a growth rate of approximately 30%. There is a substantial rise in the number of SMEs, which have inadequate financial funds to host their own infrastructures. Additionally, the rise of cloud technologies and improvements in broadband speeds are boosting the colocation sector. The adoption of energy-efficient solutions allows these organizations to gain higher control over their spending on the various assets such as HVAC and networking.

Rapid industrial boom increase in outsourced IT services, activities, and government support for local manufacturing have led to the rise in SMEs in the South-East Asian regions, primarily among countries including China and India, fueling the green data center market growth. For instance, Singapore is anticipated to witness a strong growth in the coming years owing to the push from Infocomm Media Development Authority (IMDA) toward the construction of vertical green buildings to house data centers. In light of this, the government agency has entered into a partnership agreement with Keppel Data Centres and Huawei International to explore and understand the technical feasibilities of such structures, generating a demand for the green data center market.

The green data center comprises players such as EcoDataCenter, Eaton Corporation, HCL Technologies Limited, Green House Data, Siemens AG, and Verne Global. The industry is at present in the nascent stage and is poised to grow significantly. This is causing companies to undertake strategies such as product launches and partnership agreements to strengthen their hold in the global green data center market.

Table of Content:

Chapter 1. Methodology and Scope

1.1. Methodology

1.1.1. Initial data exploration

1.1.2. Statistical model and forecast

1.1.3. Industry insights and validation

1.1.4. Definition and forecast parameters

1.1.4.1. Definitions

1.1.4.2. Assumptions, methodology and forecast parameters

1.2. Data Sources

1.2.1. Primary

1.2.2. Secondary

Chapter 2. Executive Summary

2.1. Green data center industry 3600 synopses, 2013 - 2024

2.1.1. Business trends

2.1.2. Regional trends

2.1.3. Component trends

2.1.3.1. Solution trends

2.1.3.2. Service trends

2.1.4. End-use trends

Chapter 3. Green Data Center Industry Insights

3.1. Industry segmentation

3.2. Industry landscape, 2013 - 2024

3.2.1. Data center infrastructure industry landscape

3.2.1.1. Data center infrastructure market size & forecast, 2013 - 2024

3.2.1.1.1. North America

3.2.1.1.2. Europe

3.2.1.1.3. Asia Pacific

3.2.1.1.4. South America

3.2.1.1.5. MEA

3.3. Industry ecosystem analysis

3.3.1. Component suppliers

3.3.2. Manufacturers

3.3.3. Technology providers

3.3.4. Network providers

3.3.5. Service providers

3.3.6. System Integrators

3.3.7. Distribution channel analysis

3.3.8. Vendor matrix

3.4. Technology & innovation landscape

3.4.1. Edge and hyperscale data centers

3.4.2. Software-defined networking (SDN)

3.4.3. Green cloud computing

3.4.4. Computational fluid dynamics applications in green design

3.4.5. Impact of IoT sensing technologies

3.5. Regulatory landscape

3.5.1. North America

3.5.2. Europe

3.5.3. Asia Pacific

3.5.4. South America

3.5.5. MEA

3.6. Industry impact forces

3.6.1. Growth drivers

3.6.1.1. Rapid shift towards renewable power sources in the U.S. and Europe

3.6.1.2. Transition to cloud-based solutions in the U.S.

3.6.1.3. Increase in organizational data traffic and big data analytics in U.K and Germany

3.6.1.4. Government initiatives to lower PUE in UK and Singapore

3.6.1.5. Growth of mega data centers and trend of collocation in China, India, and Mexico

3.6.1.6. Increase in construction of data centers and rise in SME demand in South-East Asian countries

3.6.1.7. Decline in costs of semiconductor components in Asia Pacific

3.6.1.8. Rising electricity prices across Europe

3.6.1.9. Growing focus of players to establish data centers in South America due to abundant resources and high cost benefits

3.6.1.10. Rising urbanization in MEA

3.6.2. Industry pitfalls & challenges

3.6.2.1. High cost of equipment over traditional technologies

3.6.2.2. Security issues in green storage technologies

3.6.2.3. Incompatibility of green solutions with existing data centers

3.7. Growth potential analysis

3.8. Porter's analysis

3.9. Competitive landscape, 2017

3.9.1. Strategy dashboard

3.9.2. Investment landscape

3.9.3. Key innovations

3.10. PESTEL analysis

Chapter 4. Green Data Center Market, By Component

4.1. Key trends by component

4.2. Solutions

4.2.1. Market estimates and forecasts, 2013 - 2024

4.2.2. Market estimates and forecasts, by region, 2013 - 2024

4.2.3. Cooling

4.2.3.1. Market estimates and forecasts, 2013 - 2024

4.2.3.2. Market estimates and forecasts, by region, 2013 - 2024

4.2.4. Networking

4.2.4.1. Market estimates and forecasts, 2013 - 2024

4.2.4.2. Market estimates and forecasts, by region, 2013 - 2024

4.2.5. Power

4.2.5.1. Market estimates and forecasts, 2013 - 2024

4.2.5.2. Market estimates and forecasts, by region, 2013 – 2024

For more information on this report at: https://www.marketstudyreport.com/reports/green-data-center-market/?utm_source=Openpr.com-SP

Related Report:

United States Green Data Center Market Report 2017

This report studies sales (consumption) of Green Data Center in United States market, focuses on the top players, with sales, price, revenue and market share for each player, covering

https://www.marketstudyreport.com/reports/united-states-green-data-center-market-report-2017?utm_source=RR-SP

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