Big Data in Power Management Market Forecasts to 2023 by Top Players VMware, Hewlett Packard, Dell, Cisco Systems, Jinfonet Software

Big Data in Power Management Market
Power is one of the most critical components of infrastructure and crucial for the economic growth and welfare of nations. Globally, the power sector is undergoing a significant change that has redefined the industry outlook. The sustained overall economic growth continues to drive electricity demand all economies. Many governments are focusing on attaining Power for All by accelerating the capacity addition across the world. At the same time, the competition is also increasing at both the market and supply sides.

The power industry has worked with big data for years, regularizing and processing significant amounts of information produced on an intra-hourly basis. For some years now, the deriving value from big data that has been generated from across the generation, transmission, distribution units, and end-users of power utilities, has been a concern for corporate executives, although executives mainly focus on the distribution side of power utilities.

Key Players:
VMware Inc., Hewlett Packard (HP) Enterprise, Dell Inc., Cisco Systems, Jinfonet Software, Inc., 1010DATA, Infoblox, and Nexenta Systems Inc.

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Power utilities can optimize the generation, distribution, and consumption of electricity through big data. The development of specially designed IT solutions for electricity grids, and new players, such as decentralized producers of renewable energies, are regularly generating large amounts of data that energy companies need to address. New users of electricity, such as electric vehicles and connected houses, and new communicating equipment, such as smart meters, sensors, and remote-control points, are also causing a surge of data that the energy companies will have to analyze in order to make informed-decisions. Big data technology offers suitable solutions for power utilities to achieve greater reliability, efficiency, flexibility and to preserve the balance between consumption and production in a rapid changing energy landscape.
The report covers the present scenario and growth prospects of the big data in power management market for the period 2017-2023. Moreover, to calculate the market size, the report considers the revenue generated from below market segments:

-Software Market: The segment includes revenue generated from System Software, Hadoop Distribution Products and Tools, Discovery & Visualization Tools, Database Software, Big Data Analytics, and other software.

-Services Market: The segment includes revenue generated from the Hadoop-as-a-Service (HAAS), Visualization & Analytics-as-a-Service, Training and Professional Services, Deployment & Integration Services, and Consulting Services.

The report covers the evolution, architecture, and ecosystem of big data in power management, market dynamics, features, advantages, and disadvantages. The report covers drivers, restraints, and opportunities affecting the market growth during the forecast period.

The report also covers the adoption and usage of big data software and services in power management across different regions. The regions include North America, Europe, Asia Pacific, Latin America, and the Middle East & Africa. The report also compares top four players in the market with their competence, their technology capability, and geographical reach. It further contains an analysis of forecast revenues, competitive landscape, vendor profiles, global generalist, and business strategies and views.

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Table of Contents:

1 Industry Outlook 11
2 Report Outline 13
3 Market Snapshot 16
4 Market Outlook 18
5 Market Characteristics 21
6 Types: Market Size and Analysis 26
7 SOFTWARE: Market Size and Analysis 29
8 Services: Market Size and Analysis 36
9 Deployment Type: Market Size and Analysis 43
10 End-users: Market Size and Analysis 46
11 REGIONS: MARKET SIZE AND ANALYSIS 49
12 Competitive Analysis 69

13 Vendor Profiles 71
13.1 VMware Inc. 71
13.1.1 Overview 71
13.1.2 Business Units 71
13.1.3 Geographical Revenue 72
13.1.4 Business Focus 73
13.1.5 SWOT Analysis 73
13.1.6 Business Strategy 74
13.2 Hewlett Packard (HP) Enterprise 75
13.2.1 Overview 75
13.2.2 Business Units 75
13.2.3 Geographical Revenue 76
13.2.4 Business Focus 77
13.2.5 SWOT Analysis 77
13.2.6 Business Strategy 78
13.3 Dell Inc. 80
13.3.1 Overview 80
13.3.2 Business Focus 80
13.3.3 SWOT Analysis 81
13.3.4 Business Strategy 81
13.4 Cisco 83
13.4.1 Overview 83
13.5 Business Unit 84
13.6 Geographic Revenue 84
13.7 Business Focus 85
13.8 SWOT Analysis 85
13.9 Business Strategy 86

14 Global Generalist 87
14.1 Jinfonet Software, Inc. 87
14.1.1 Overview 87
14.1.2 Business Units 88
14.1.3 Geographical Revenue 89
14.1.4 Business Focus 89
14.1.5 SWOT Analysis 90
14.1.6 Business Strategy 90
14.2 1010DATA 92
14.2.1 Overview 92
14.3 Business Unit 93
14.4 Geographic Revenue 93
14.5 Business Focus 94
14.6 SWOT Analysis 94
14.7 Business Strategy 95
14.8 Infoblox 96
14.8.1 Overview 96
14.8.2 Infoblox in Big Data Market 96
14.9 Nexenta Systems Inc. 97
14.9.1 Overview 97
14.9.2 Nexenta Systems Inc. in Big Data Market 97

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