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Smart Grid Data Analytics Market Size and Development Trends Analysis 2021: Global Opportunities and Strategic Movement by Players, Revenue, Share and Innovations Forecast to 2024

The Smart Grid Data Analytics market report presents the current and historical analysis of market shares, competitive landscape, and players along with trends with authenticated market sizes information and data in terms of value and volume. It also covers driving forces, restraints, and opportunities are given to predict the forecast analysis of market.

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Jan 20, 2021 (The Expresswire) -- Global “ Smart Grid Data Analytics Market ” forecast report delivers important insights and provides a complete analysis of key market trends, dynamics, future scope of industry. The Smart Grid Data Analytics market share study offers details regarding the valuable estimations of the market such as market size, sales capacity, and profit projections. The report offers a widespread analysis of key drivers, leading market players, key segments, and regions. Also, the specialists have deeply deliberate different geographical areas and presented a competitive scenario to assist new entrants, leading market players, and investors to determine emerging economies.

Smart Grid Data Analytics market size report contains growth rate, revenue, segmentation with product type, application, end-users, regions, manufacturers, and more.

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Smart Grid Data Analytics Market Dynamics:

Market Overview:

Top Key Players in The Smart Grid Data Analytics Market Report Are:

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Key Market Trends:

Increasing Investment in the Smart Grid Infrastructure Offers Potential Growth

- Smart grids represent a new era in the electrical sector, as they go from static one-way management to dynamic two-way management. In this, users are informed of their real consumption and thus the contracted power can be adjusted to meet the real need of each consumer. This increases efficiency and energy savings.
- Further, smart grids collect much more data than the manual energy meter reading system. This permits the use of data analysis techniques and the preparation of highly realistic consumption forecasts as many more variables are taken into account. Therefore, the opportunities for smart grid analytics are expanding because theres exponentially more data available to develop analytical models.
- Additionally, the smart grid optimizes asset utilization and operates efficiently which means desired functionality at minimum cost. Nowadays, many companies have been modernizing power plants and substations by putting sensors on the main components, such as turbines and transformers which look for vibration or other anomalies that could predict future failures. Thus, those companies apply smart grid analytics to optimize the performance of connected devices in the field. For instance, Duke Energy claims that these smart grid data analytics have already paid off in big ways by preventing major outages related to equipment.
- Therefore, the analysis obtained from smart grid data analytics offers a significant advantage in terms of cost reduction, personalized energy services to consumers, etc. This in return creates a positive outlook for the market during the forecast period.

Asia-Pacific to Witness the Fastest Growth

- The Asia-Pacific region is being dominated by two highly populated country i.e. India and China. The rising population in countries like China, Japan, and India has stimulated the demand for residential infrastructure and electricity consumption, therefore accelerating the demand for electricity in the nations mentioned above is the crucial attribute backing the demand of smart grids which in return will create a market for smart grid data analytics as well because of the benefits associated with it.
- Moreover, according to NITI Aayog, India is home to 18% of the worlds population but uses only 6% of the worlds primary energy. Indias energy consumption has almost doubled since 2000 and the potential for further rapid growth is enormous. Urbanization coupled with smart city initiatives will be a key diver of this trend which in result will create a positive outlook for the smart grid data analytics market whose main aim is to optimize their efficiency and minimize losses occurring in electricity generation and distribution of power supply.
- Therefore, all the above factors combined will fuel the smart grid market which in return will boost the smart grid data analytics market in the Asia-Pacific region during the forecasted period.

Scope of the Report:

Big data analytics combined with grid visualization can lead to better situational awareness and predictive decisions. Predictive maintenance and fault detection based on data analytics with advanced metering infrastructure is more crucial to the security of the power system. Moreover, at the end-user level, smart grids can enable demand flexibility and consumer participation in the energy system, including through demand response, electric vehicle (EV) charging and self-produced distributed generation and storage. Thus, lots of data will be generated in terms of usage and it has catalyzed the smart grid data analytics market.

Key Questions Answered in The Report:

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Detailed TOC of Global Smart Grid Data Analytics Market Trends, Status and Forecast 2020-2024

1.1 Study Deliverables
1.2 Study Assumptions
1.3 Scope of the Study



4.1 Market Overview
4.2 Introduction to Market Drivers and Restraints
4.3 Market Drivers
4.3.1 Growing Demand for Power Supplemented by Higher Transmission and Distribution Losses
4.3.2 Growing Investment in the Smart Grid Systems
4.4 Market Restraints
4.4.1 High Costs of Smart Grid Systems
4.5 Industry Value Chain Analysis
4.6 Industry Attractiveness - Porter's Five Force Analysis
4.6.1 Threat of New Entrants
4.6.2 Bargaining Power of Buyers/Consumers
4.6.3 Bargaining Power of Suppliers
4.6.4 Threat of Substitute Products
4.6.5 Intensity of Competitive Rivalry

5.1 By Deployment
5.1.1 Cloud-Based
5.1.2 On-premises
5.2 By Solution
5.2.1 Advanced Metering Infrastructure Analytics
5.2.2 Demand Response Analytics
5.2.3 Grid Optimisation Analytics
5.3 By End-user Vertical
5.3.1 Small and Medium Enterprises
5.3.2 Large Enterprises
5.3.3 Public Sector
5.4 Geography
5.4.1 North America
5.4.2 Europe
5.4.3 Asia Pacific
5.4.4 Latin America
5.4.5 Middle East and Africa

6.1 Company Profiles
6.1.1 Siemens AG
6.1.2 Itron
6.1.3 AutoGrid Systems, Inc.
6.1.4 AutoGrid Systems, Inc.
6.1.5 Verizon
6.1.6 IBM Corporation
6.1.7 SAP SE
6.1.8 HP Development Company, LP
6.1.9 HP Development Company LP
6.1.10 SAS Institute Inc.
6.1.11 Hitachi Consulting Corporation
6.1.12 Dell EMC
6.1.13 Infosys Limited
6.1.14 Accenture PLC
6.1.15 Capgemini SE
6.1.16 Oracle Corporation
6.1.17 Amdocs Corporation
6.1.18 Sensus



For Detailed TOC - https://www.industryresearch.co/TOC/14352719#TOC

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