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Cloud Storage Market for Energy and Power Industry - Forecasts from 2018 to 2023

  • ID: 4661687
  • Report
  • 99 pages
  • Knowledge Sourcing Intelligence LLP
UP TO OFF
until Dec 31st 2019
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FEATURED COMPANIES

  • Amazon Web Services, Inc.
  • Google
  • IBM
  • Microsoft
  • OpenText Corp.
  • Unicorn Systems A.S
  • MORE
The cloud storage market for energy and power industry was valued at US$1.786 billion in 2017 and is projected to expand at a CAGR of 25.68% over the forecast period to reach US$7.037 billion by 2023. Utility sector is also tapping the opportunities provided by cloud computing solutions including data storage for smart grids and other storage-intensive applications. Cloud applications for energy and power sector include scalable computer capacity for outage management, power trading, and risk analytics among other applications. Thus, increasing global investments in smart grids to reduce power consumption is expected to boost the adoption of cloud computing solutions, which in turn, will bolster the growth of cloud storage market throughout the forecast period.

By Solution

By solution, the cloud storage market for energy and power industry is segmented as primary and backup storage. The market for backup storage is expected to witness an impressive growth as enterprises continue to drift towards cloud for backing up their critical data and IT environment to ensure business continuity.

By Deployment Model

By deployment model, the cloud storage market for energy and power industry is segmented as public, private and hybrid cloud. Public Cloud holds a significant share in the market on account of the shift towards smart energy infrastructure and advanced metering infrastructure.

By Services

By services, the cloud storage market for energy and power industry is segmented as integration, consulting and others. All these services are provided to the customers by the cloud storage solution provider so as to help businesses to boost their productivity in an efficient manner.

By Enterprise size

By enterprise size, the cloud storage market for energy and power industry is segmented as large and small and medium-sized business (SMB). The enterprises in this sector are slowly adopting cloud solutions as the demand for smart grids are increasing over the years. For an instance, Tullow oils is utilizing hightail to send oil well data, maps, and GPS information securely through its cloud platform.

By Geography

Geographically, the cloud storage market for energy and power industry is segmented as North America, Europe, Middle East & Africa, Asia-Pacific and South America. Europe holds a significant share in the market owing to the increasing adoption of cloud solutions by the manufacturers in the countries such as U.K so as to handle the approaching influx of data and to utilize that data effectively.

Competitive Intelligence
The cloud storage market for energy and power industry is competitive owing to the increasing adoption of cloud storage solutions in the education sector .The key players include Amazon Web Services, Inc., Microsoft, IBM, Google, and OpenText Corp. among others.

Segmentation

The cloud storage market for energy and power industry has been analyzed through following segments:

By Solution

Primary Storage
Backup Storage

By Deployment Model

Public Cloud
Private Cloud
Hybrid Cloud

By Services

Integration
Consulting
Others

By Enterprise Size

Large
SMB (Small and Medium-sized business)

By Geography

North America

US
Canada
Mexico
Others

South America
Brazil
Argentina
Others

Europe
UK
Germany
France
Italy
Others

Middle East and Africa
Saudi Arabia
UAE
Israel
Others

Asia Pacific
China
India
Japan
Australia
Others
Note: Product cover images may vary from those shown
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FEATURED COMPANIES

  • Amazon Web Services, Inc.
  • Google
  • IBM
  • Microsoft
  • OpenText Corp.
  • Unicorn Systems A.S
  • MORE
1. INTRODUCTION
1.1. Market Overview
1.2. Market Definition
1.3. Scope of the Study
1.4. Currency
1.5. Assumptions
1.6. Base, and Forecast Years Timeline

2. RESEARCH METHODOLOGY
2.1. Research Design
2.2. Secondary Sources

3. EXECUTIVE SUMMARY

4. MARKET DYNAMICS
4.1. Market Segmentation
4.2. Market Drivers
4.3. Market Restraints
4.4. Market Opportunities
4.5. Porter’s Five Force Analysis
4.5.1. Bargaining Power of Suppliers
4.5.2. Bargaining Power of Buyers
4.5.3. Threat of New Entrants
4.5.4. Threat of Substitutes
4.5.5. Competitive Rivalry in the Industry
4.6. Life Cycle Analysis - Regional Snapshot
4.7. Market Attractiveness

5. CLOUD STORAGE MARKET FOR ENERGY AND POWER INDUSTRY FORECAST BY SOLUTION
5.1. Primary Storage
5.2. Backup Storage

6. CLOUD STORAGE MARKET FOR ENERGY AND POWER INDUSTRY FORECAST BY DEPLOYMENT MODEL
6.1. Public Cloud
6.2. Private Cloud
6.3. Hybrid Cloud

7. CLOUD STORAGE MARKET FOR ENERGY AND POWER INDUSTRY FORECAST BY SERVICES
7.1. Integration
7.2. Consulting
7.3. Others

8. CLOUD STORAGE MARKET FOR ENERGY AND POWER INDUSTRY FORECAST BY ENTERPRISE SIZE
8.1. Large
8.2. SMB (Small and Medium-sized business)

9. CLOUD STORAGE MARKET FOR ENERGY AND POWER INDUSTRY FORECAST BY GEOGRAPHY
9.1. North America
9.1.1. United States
9.1.2. Canada
9.1.3. Mexico
9.1.4. Others
9.2. South America
9.2.1. Brazil
9.2.2. Argentina
9.2.3. Others
9.3. Europe
9.3.1. Germany
9.3.2. France
9.3.3. Italy
9.3.4. United Kingdom
9.3.5. Others
9.4. Middle East and Africa
9.4.1. Israel
9.4.2. Saudi Arabia
9.4.3. UAE
9.4.4. Others
9.5. Asia Pacific
9.5.1. Japan
9.5.2. China
9.5.3. India
9.5.4. Australia
9.5.5. Malaysia
9.5.6. Others

10. COMPETITIVE INTELLIGENCE
10.1. Recent Deals and Investment
10.2. Strategies of Key Players
10.3. Investment Analysis

11. COMPANY PROFILES
11.1. Amazon Web Services, Inc.
11.1.1. Company Overview
11.1.2. Financials
11.1.3. Products and Services
11.1.4. Recent Developments
11.2. Microsoft
11.2.1. Company Overview
11.2.2. Financials
11.2.3. Products and Services
11.2.4. Recent Developments
11.3. Google
11.3.1. Company Overview
11.3.2. Financials
11.3.3. Products and Services
11.3.4. Recent Developments
11.4. Unicorn Systems a.s.
11.4.1. Company Overview
11.4.2. Financials
11.4.3. Products and Services
11.4.4. Recent Developments
11.5. OpenText Corp.
11.5.1. Company Overview
11.5.2. Financials
11.5.3. Products and Services
11.5.4. Recent Developments
11.6. IBM
11.6.1. Company Overview
11.6.2. Financials
11.6.3. Products and Services
11.6.4. Recent Developments
Note: Product cover images may vary from those shown
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  • Amazon Web Services, Inc.
  • Microsoft
  • IBM
  • Google
  • Unicorn Systems A.S
  • OpenText Corp.
Note: Product cover images may vary from those shown
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The research study is based on the publisher's proprietary research model. The process involves sourcing of information from various industry experts, key professionals, decision-makers and various other stakeholders along with the validation of the responses received from the vast in-house database and premium paid databases. Publicly available sources were also taken into consideration for the final market estimates and forecast for the segments and sub-segments.

The first phase of the research process is the identification of key industry leaders, experts, decision-makers and C-level executives and then conducting interviews and surveys to gain vital insights about the market. Simultaneously, extensive secondary research is done, and key secondary data is collected as part of this process. This secondary data is collected from various databases, industry journals, whitepapers, company annual reports, research publications, and other paid data sources and relevant literature. Company profiles which include strategies, new product developments, recent investments, major products and services, financials and business plans are sourced from the annual reports, SEC filings, industry associations to preserve the quality of the information being displayed. The findings from both the primary and the secondary research process combined go under further processing for market breakdown and forecasting.

The last phase is providing intelligence in the form of presentation, charts, graphics and other different formats helping the clients in a faster and efficient understanding of the market. Under this phase complete market engineering is involved which includes analyzing the collected data from different sources and existing proprietary datasets while using various data triangulation methods for market breakdown and forecasting. The publisher has developed their market forecasting methodology that, in addition to the main market values, also takes into account other macroeconomic factors (global or local) that might have some bearing on the market under study. Taking all the necessary data, a robust forecast is developed using an algorithm that involves both static (multivariate) as well as dynamic (time-series) regression analysis. Special care is taken to make sure their algorithm passes the necessary statistical tests, and the mean prediction for future years obtained is reliable with a very high confidence level. Following data validation, the analysts begin to write the report presenting insights with the help of charts, graphs, and tables.

 

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