Smart Grid Analytics

Smart Grid Analytics Market by Solution (AMI Analytics, Demand Response Analytics, Asset Management, Grid Optimization, Energy Data Forecasting/Load Forecasting and Visualization Tools) – Worldwide Forecast and Analysis 2024

The smart grid analytics market is expected to grow from $ +4 billion in 2019 to $ +9 billion in 2024 at a compound annual growth rate (CAGR) of +25.0%.

The launch and deployment of millions of smart meters worldwide in the utility sector resulted in huge data generation not only in terms of speed but also in volume. Customer-driven overflow, CMS (as well as grid-driven data through a variety of sources such as AMI (Advanced Metering Infrastructure) or smart meters, Supervisory Control and Data Acquisition (SCADA) systems, and learning thermostats) Other data management systems, such as Content Management System and Outage Management System. Also, white papers and back-office systems such as the Customer Information System (CIS) and Geographic Information System (GIS) contribute to this huge data generation.

The smart grid analytics market has seen rapid growth in recent years due to a number of driving forces, such as building smart metering infrastructure that generates huge amounts of data, limited nature of non-renewable energy sources, and increased demand for consumer engagement. Market opportunities for smart grid analytics environments include an increase in cloud-based solutions / software-as-a-service (SaaS) solutions, high demand for system integrators, and a shift in focus on optimizing grid operations.

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Key Market Segments:

Key Market players:

IBM Corporation, Siemens AG, Opower, SAS Institute, Inc., SAP AG, Oracle Corporation and others

On the basis of solution type:

  • AMI analytics
  • Demand response analytics
  • Asset analytics
  • Analytics for grid optimization
  • Energy data forecasting/ load forecasting
  • Visualization tools
  • On the basis of service type:
  • Professional services
  • Support and maintenance services

On the basis of the type of deployment model:

  • On-premise
  • On-demand (cloud-based)

On the basis of geographical region:

  • North America (NA)
  • Europe
  • Asia-Pacific (APAC)
  • The Middle East and Africa (MEA)
  • Latin America (LA)

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Table of Content:

Chapter 1 Global Smart Grid Analytics Market Overview

Chapter 2 Global Economic Impact on Smart Grid Analytics Industry

Chapter 3 Global Smart Grid Analytics Market Competition by Manufacturers

Chapter 4 Global Smart Grid Analytics Production, Revenue (Value) by Region

Chapter 5 Global Smart Grid Analytics Supply (Production), Consumption, Export, Import by Regions

Chapter 6 Global Smart Grid Analytics Production, Revenue (Value), Price Trend by Type

Chapter 7 Global Smart Grid Analytics Market Analysis by Application

Chapter 8 Smart Grid Analytics Manufacturing Cost Analysis

Chapter 9 Industrial Chain, Sourcing Strategy and Downstream Buyers

Chapter 10 Marketing Strategy Analysis, Distributors/Traders

Chapter 11 Market Effect Factors Analysis

Chapter 12 Global Smart Grid Analytics Market Forecast

Chapter 13 Appendix

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