Utility Analytics

Use Cases, Platforms, and Services: Global Market Analysis and Forecasts

Never before have power utilities needed such a comprehensive, holistic strategy for advanced analytics as they do today. In some form, utilities have used analytics for as long as—or longer than—computers. But today’s utility is faced with a confluence of factors that makes the need more urgent and the task more complicated than ever. Long established grid equipment vendors and a plethora of new startups have developed big data analytics solutions that integrate data from a rapidly growing number of connected devices on the grid and turn it into actionable intelligence.

From meters to automated substations and intelligent electronic devices along feeders, smart equipment is sending an exponentially growing amount of data back to network operations centers worldwide. Yet, to date, most utilities have taken a one-off, project-based approach to analytics, with decision-making, data storage, and procurement often taking place within siloed departments. Numerous inefficiencies and restrictions can result due to lack of knowledge and access to data. Utilities have recognized this problem and—given the growing challenges faced by the industry—are working proactively to expand their analytics strategy to the entire enterprise. According to Navigant Research, global utility analytics revenue is expected to grow from $944.8 million in 2016 to $3.6 billion in 2025.

This Navigant Research report analyzes the global market for utility analytics platforms and services and describes the various use cases for which solutions are being developed and deployed. The study discusses significant market drivers and challenges in the market for utility analytics. Global market forecasts that include four segments of analytics broken down into four spending components extend through 2025. The report also provides in-depth profiles of key vendors in the utility analytics market and examines several utility deployment case studies.

Key Questions Addressed:
  • What regional policy and economic drivers and challenges influence the market for utility analytics?
  • What environmental and social drivers and challenges influence this market?
  • What are the key application segments for utility analytics?
  • What are the main pain points associated with deploying analytics solutions?
  • What types of service models are available, and what are the pros and cons of each?
  • Which vendors are providing the most competitive solutions in the market for utility analytics?
  • What are the key technology segments for this market?
Who needs this report?
  • Utilities
  • Software vendors
  • Systems integrators
  • Regulators and policymakers
  • Government agencies
  • Investor community

Table of Contents

1. Executive Summary

1.1  Introduction

1.2  Market Trends

1.3  Global Outlook for Utility Analytics

2. Market Issues

2.1      Overview of Utility Analytics

2.1.1     Analytics Segments and Use Cases for Transmission and Distribution

2.1.1.1  Asset Optimization Analytics

2.1.1.1.1.     Strategic Asset Management at National Grid

2.1.1.2  Grid Management Analytics

2.1.1.2.1.     Real-Time Situational Intelligence at Pacific Gas and Electric

2.1.1.3  Demand-Side Analytics

2.1.1.3.1.     Energy Efficiency Analytics Pilot and Puget Sound Energy

2.1.1.4  Customer Operations Analytics

2.1.1.4.1.     Sacramento Municipal Utility District: Customer Experience Excellence Initiative

2.1.2     The Cloud and Its Implications for Power Utilities

2.2      Vendor Landscape

2.2.1     Managed Services, the Cloud, and IoT

2.3      Market Drivers

2.3.1     There Is Just More Data

2.3.2     Availability of Data Drives Innovation

2.3.3     Vendors Really Want Analytics to Take Off

2.3.4     Public Interest and Funding

2.3.5     Utilities De-Siloing for Efficiency

2.3.6     O&M Status Quo Becoming Unaffordable

2.3.7     Increasing Pressure for Improved Reliability

2.3.8     Service Models Enabling Adoption

2.4      Market Barriers

2.4.1     Messy Data

2.4.2     High Risks in Enterprise Data Management

2.4.3     Staffing for Data Analytics

2.4.4     Mistrust of Machines

2.4.5     Cyber Security

3. Technology Issues

3.1      Analytics Technology Introduction and Challenges

3.1.1     The Three Components of an Analytics Strategy

3.1.2     Implementing a Librarian Approach

3.1.3     Finding the Right People

3.2      Data Governance: A Central Component

3.3      Developing an Analytics Roadmap

3.3.1     Understand What Is Possible

3.3.2     Identify What to Address

3.3.3     Determine Where and When to Analyze Data

3.3.4     Understand the Role of New Technologies

3.3.5     Unbundle the Data Storage Question

3.3.6     Assign the Right People for the Job

3.3.7     Partner with the Right Vendor

4. Key Industry Players

4.1      Introduction

4.1.1     ABB

4.1.2     AutoGrid

4.1.3     Bit Stew

4.1.4     Brillio

4.1.5     Cisco Systems

4.1.6     C3 IoT

4.1.7     GE

4.1.8     Grid4C

4.1.9     IBM

4.1.10   Itron

4.1.11   Landis+Gyr

4.1.12   Opower

4.1.13   Oracle

4.1.14   OSIsoft

4.1.15   SAP

4.1.16   SAS

4.1.17   Silver Spring Networks

4.1.18   Space-Time Insight

4.1.19   Teradata

4.1.20   TROVE

5. Market Forecasts

5.1      Introduction and Forecast Methodology

5.2      Global Outlook

5.2.1     Regional Highlights

5.3      North America

5.4      Europe

5.5      Asia Pacific

5.6      Latin America

5.7      Middle East & Africa

5.8      Conclusions and Recommendations

5.8.1     Recommendations for Utilities

5.8.2     Recommendations for Vendors

6. Acronym and Abbreviation List
7. Table of Contents
8. Table of Charts and Figures
9. Scope of Study, Sources and Methodology, Notes

List of Charts and Figures

  • Total Utility Analytics Revenue by Region, World Markets: 2016-2025
  • Total Utility Analytics Revenue by Application Segment, North America: 2016-2025
  • Total Utility Analytics Revenue by Application Segment, Europe: 2016-2025
  • Total Utility Analytics Revenue by Application Segment, Asia Pacific: 2016-2025
  • Total Utility Analytics Revenue by Application Segment, Latin America: 2016-2025
  • Total Utility Analytics Revenue by Application Segment, Middle East & Africa: 2016-2025
  • Total Utility Analytics Revenue by Application Segment, World Markets: 2016-2025
  • Total Utility Analytics Revenue by Spending Segment, World Markets: 2016-2025
  • Total Utility Analytics Revenue by Spending Segment, Customer Analytics, Asia Pacific: 2016-2025
  • Total Utility Analytics Revenue by Spending Segment, North America: 2016-2025
  • Total Utility Analytics Revenue by Spending Segment, Europe: 2016-2025
  • Total Utility Analytics Revenue by Spending Segment, Asia Pacific: 2016-2025
  • Total Utility Analytics Revenue by Spending Segment, Latin America: 2016-2025
  • Total Utility Analytics Revenue by Spending Segment, Middle East & Africa: 2016-2025
  • Analytics Use Cases in the Energy Value Chain
  • Application Segments and Benefits of Utility Analytics

List of Tables

  • Total Utility Analytics Revenue by Region, World Markets: 2016-2025
  • Total Utility Analytics Revenue by Spending Segment, World Markets: 2016-2025
  • Total Utility Analytics Revenue by Application Segment, World Markets: 2016-2025
  • Total Utility Analytics Revenue by Spending Segment, North America: 2016-2025
  • Total Utility Analytics Revenue by Application Segment, North America: 2016-2025
  • Total Utility Analytics Revenue by Spending Segment, Grid Operations Analytics, North America: 2016-2025
  • Total Utility Analytics Revenue by Spending Segment, Asset Analytics, North America: 2016-2025
  • Total Utility Analytics Revenue by Spending Segment, Demand-Side Analytics, North America: 2016-2025
  • Total Utility Analytics Revenue by Spending Segment, Customer Analytics, North America: 2016-2025
  • Total Utility Analytics Revenue by Spending Segment, Europe: 2016-2025
  • Total Utility Analytics Revenue by Application Segment, Europe: 2016-2025
  • Total Utility Analytics Revenue by Spending Segment, Grid Operations Analytics, Europe: 2016-2025
  • Total Utility Analytics Revenue by Spending Segment, Asset Analytics, Europe: 2016-2025
  • Total Utility Analytics Revenue by Spending Segment, Demand-Side Analytics, Europe: 2016-2025
  • Total Utility Analytics Revenue by Spending Segment, Customer Analytics, Europe: 2016-2025
  • Total Utility Analytics Revenue by Spending Segment, Asia Pacific: 2016-2025
  • Total Utility Analytics Revenue by Application Segment, Asia Pacific: 2016-2025
  • Total Utility Analytics Revenue by Spending Segment, Grid Operations Analytics, Asia Pacific: 2016-2025
  • Total Utility Analytics Revenue by Spending Segment, Asset Analytics, Asia Pacific: 2016-2025
  • Total Utility Analytics Revenue by Spending Segment, Demand-Side Analytics, Asia Pacific: 2016-2025
  • Total Utility Analytics Revenue by Spending Segment, Latin America: 2016-2025
  • Total Utility Analytics Revenue by Application Segment, Latin America: 2016-2025
  • Total Utility Analytics Revenue by Spending Segment, Grid Operations Analytics, Latin America: 2016-2025
  • Total Utility Analytics Revenue by Spending Segment, Asset Analytics, Latin America: 2016-2025
  • Total Utility Analytics Revenue by Spending Segment, Demand-Side Analytics, Latin America: 2016-2025
  • Total Utility Analytics Revenue by Spending Segment, Customer Analytics, Latin America: 2016-2025
  • Total Utility Analytics Revenue by Spending Segment, Middle East & Africa: 2016-2025
  • Total Utility Analytics Revenue by Application Segment, Middle East & Africa: 2016-2025
  • Total Utility Analytics Revenue by Spending Segment, Grid Operations Analytics, Middle East & Africa: 2016-2025
  • Total Utility Analytics Revenue by Spending Segment, Asset Analytics, Middle East & Africa: 2016-2025
  • Total Utility Analytics by Application Segment Revenue, Demand-Side Analytics: Middle East & Africa: 2016-2025
  • Total Utility Analytics Revenue by Spending Segment, Customer Analytics, Middle East & Africa: 2016-2025

{"userID":"","pageName":"Utility Analytics","path":"\/research\/utility-analytics","date":"10\/19\/2017"}