The 2025-2030 World Outlook for Smart Grid Analytics

This study covers the world outlook for smart grid analytics across more than 190 countries. For each year reported, estimates are given for the latent demand, or potential industry earnings (P.I.E.), for the country in question (in millions of U.S. dollars), the percent share the country is of the region, and of the globe. These comparative benchmarks allow the reader to quickly gauge a country vis-à-vis others. Using econometric models which project fundamental economic dynamics within each country and across countries, latent demand estimates are created. This report does not discuss the specific players in the market serving the latent demand, nor specific details at the product level. The study also does not consider short-term cyclicalities that might affect realized sales. The study, therefore, is strategic in nature, taking an aggregate and long-run view, irrespective of the players or products involved. In this report we define the sales of smart grid analytics as including all commonly understood services falling within this broad category, such as advanced metering infrastructure (AMI) and demand response analytics, asset management, grid optimization, energy data and load forecasting, and visualization tool solutions and professional, and support and maintenance services, irrespective of product packaging, formulation, size, or form. Companies participating in this industry include Accenture, Capgemini, EMC Corporation, Hewlett-Packard, IBM, Opower, Oracle Corporation, SAP, SAS Institute, and Siemens AG. In addition to the sources indicated, additional information available to the public via news and/or press releases published by players in the industry was considered in defining and calibrating this category. All figures are in a common currency (U.S. dollars, millions) and are not adjusted for inflation (i.e., they are current values). Exchange rates used to convert to U.S. dollars are averages for the year in question. Future exchange rates are assumed to be constant in the future at the current level (the average of the year of this publication's release in 2024).