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Big Data Analytics to Drive Utility Energy Management, Cost Reduction and Equipment Reliability
The global smart grid analytics market is projected to generate $2.31 billion in sales by end of 2025. This study segments data analytics according to three main areas of the grid network, which ranges from customer endpoints, all the way up to the distribution and transmission network.
• T&D analytics consist of analytics-related management and optimization of T&D assets.
• Metering consists of analytics-related revenue assurance and revenue protection.
• Customer analytics consists of analytics related to customer service retention.
These systems already generate massive amounts of data from endpoints, such as distribution network sensors and smart meters. There are currently approximately 319 million distribution sensors deployed globally, whereas on-the-edge, AMI networks transmit nearly 900 Terabytes data yearly alone.
A key issue is that much of this data is gathered in an unstructured manner and only 2% to 4% is actually used for analytic purposes.
Frost & Sullivan projects that the market will gradually switch to predictive and prescriptive analytics, especially as networks with low-latency capabilities are laid out to minimize the reactionary time (e.g., 5G). The industry predicts that 5G will start deployment in the 2021 to 2022 timeframe. Predictive and prescriptive analytics will incorporate statistical models that flag areas of inefficiency as well as evaluate and predict events in a timely manner, to finally have AI-enabled analytics that can deliver a holistic decision making tool.
Growing complexity with analytics and high capital cost are creating opportunities for new business models, for example, cloud-based managed services, where customers contribute very little upfront cost and instead pay a monthly subscription.
From a geographic standpoint, deployment is directly linked to a high installed base of endpoints, including distribution and substation automation and smart meters. Based on this, North America is currently the largest market for grid analytics. Nevertheless, Asia is expected to pick up momentum and will exhibit the fastest CAGR among all four regions, growing at a CAGR of 13.2% between 2018 and 2025. The emphasis is on improving energy access and minimizing financial losses (non-technical losses). India and China, in particular, have been leading the way when it comes to utility-scale renewable energy sources. India has a target of installing 175 GW and China has a solar target of 270 GW by 2022. Places such as Australia and Singapore are looking to minimize power interruption by integrating Geographic Information System (GIS) data analytics and forecast events. Japan, on the other hand, will be an ideal market for customer analytics due to its plans for 100% penetration of smart meters by the year 2024. This would consist of energy efficiency and real-time consumption data of appliances.
Author: Farah Saeed
Introduction
Introduction (continued)
Introduction (continued)
Market Engineering Measurements
Market Engineering Measurements (continued)
T&D Analytics
Metering Analytics
Customer Engagement Analytics
CEO’s Perspective
Smart Grid Analytics
Transitioning From Descriptive to Predictive Analytics
Transitioning From Descriptive to Predictive Analytics (continued)
Smart Grid Analytics—Segmentation
Smart Grid Analytics—Segmentation (continued)
Key Questions this Study will Answer
Product Scope and Market Definitions
Regional Hot Spots
Market Segmentation
Market Distribution Channels
Market Drivers
Drivers Explained
Drivers Explained (continued)
Drivers Explained (continued)
Drivers Explained (continued)
Drivers Explained (continued)
Drivers Explained (continued)
Drivers Explained (continued)
Market Restraints
Restraints Explained
Restraints Explained (continued)
Restraints Explained (continued)
Market Engineering Measurements
Market Engineering Measurements (continued)
Forecast Assumptions
Revenue Forecast
Percent Revenue Forecast by Region
Revenue Forecast by Region
Revenue Forecast Discussion
Market Share
Market Share Discussion
Competitive Environment
Competitive Factors and Assessment
SAS
Oracle
General Electric Grid Solutions
Itron
Siemens
Landis & Gyr
Mega Trend Impact on the Smart Grid Analytics Market
Meter Analytics—Mega Trend Impact
Consumer Analytics—Mega Trend Impact
Consumer Analytics—Mega Trend Impact (continued)
Market Engineering Measurements
Revenue Forecast
Revenue Forecast Discussion
Revenue Forecast Discussion (continued)
Market Engineering Measurements
Revenue Forecast
Revenue Forecast Discussion
Revenue Forecast Discussion (continued)
Market Engineering Measurements
Revenue Forecast
Revenue Forecast Discussion
Revenue Forecast Discussion (continued)
North America Key Findings
Revenue Forecast
Percent Revenue Forecast by Segment
Revenue Forecast by Segment
Revenue Forecast Discussion
Revenue Forecast Discussion (continued)
Revenue Forecast Discussion (continued)
Revenue Forecast Discussion (continued)
Europe Key Findings
Revenue Forecast
Percent Revenue Forecast by Segment
Revenue Forecast by Segment
Revenue Forecast Discussion
Revenue Forecast Discussion (continued)
Revenue Forecast Discussion (continued)
Revenue Forecast Discussion (continued)
Asia-Pacific Key Findings
Revenue Forecast
Percent Revenue Forecast by Segment
Revenue Forecast by Segment
Revenue Forecast Discussion
Revenue Forecast Discussion (continued)
Revenue Forecast Discussion (continued)
Revenue Forecast Discussion (continued)
Revenue Forecast Discussion (continued)
Revenue Forecast Discussion (continued)
ROW Key Findings
Revenue Forecast
Percent Revenue Forecast by Segment
Revenue Forecast by Segment
Revenue Forecast Discussion
Revenue Forecast Discussion (continued)
Revenue Forecast Discussion (continued)
The Last Word—3 Big Predictions
Legal Disclaimer
Market Engineering Methodology
List of Exhibits
List of Exhibits (continued)
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| Deliverable Type | Market Research |
|---|---|
| No Index | No |
| Podcast | No |
| Author | Naren Pasupalati |
| Industries | Energy |
| WIP Number | K30A-01-00-00-00 |
| Is Prebook | No |
| GPS Codes | 9B07-C1,9851,9852,GETE |
Global Smart Grid Analytics Market, Forecast to 2025
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