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Market Research Report

IoT and Analytics for Utilities Market Overview - DER, Grid Operations, Asset Performance and Customer Applications: Global Market Analysis and Forecasts

Published by Navigant Research Product code 652168
Published Content info 67 Pages; 76 Tables, Charts & Figures
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IoT and Analytics for Utilities Market Overview - DER, Grid Operations, Asset Performance and Customer Applications: Global Market Analysis and Forecasts
Published: June 13, 2018 Content info: 67 Pages; 76 Tables, Charts & Figures
Description

Utilities face mounting challenges as they attempt to leverage a plethora of generating assets, transmission and distribution (T&D) system equipment, and smart meters connected to the grid that create mountains of data. The Internet of Things (IoT) has invaded their space. Utilities already use software tools and control systems to analyze and make sense of the data and keep electricity flowing. But many of the tools are outdated, sit in silos, and were never designed for the complexities of today's smart grid. With the IoT, disparate systems can interoperate over Internet Protocol and integrate data for enhanced business value.

More advanced utility IoT analytics solutions have entered the market and can be applied to legacy systems and new data flows using edge computing, cloud computing, machine learning, and artificial intelligence (AI) to unlock valuable insights and drive operational efficiencies. Though vendors continue to make improvements, these analytics solutions are not yet fully mature. Utilities need improved analytics solutions, as these tools can help cut costs while demand is flat or declining. For example, a utility's asset maintenance costs can be lowered through analytics that detect anomalies in critical equipment ahead of scheduled maintenance or replacement cycles. Advanced analytics are also needed as more distributed energy resources (DER) like solar PV come online and create intermittent two-way energy flows on a grid that was not designed that way.

This Navigant Research provides answers for utility operators and managers looking to adopt IoT analytics solutions. The study includes a discussion of key market conditions, challenges faced by stakeholders, technology issues, and regional adoption trends. Global market forecasts, segmented by region, spending segment, and application, extend through 2028. The report also provides pointed recommendations and steps stakeholders should take to harness the data from connected grid assets to drive valuable insights and outcomes.

Key Questions Addressed:

  • What key trends are shaping the utility Internet of Things (IoT) analytics market?
  • What are the major drivers for the global utility IoT analytics market?
  • What is the revenue forecast for the utility IoT analytics market from 2018 to 2028?
  • Which regions are likely to see the most revenue growth from utility IoT analytics adoption?
  • What approach should stakeholders take to exploit the opportunities offered by utility IoT analytics?

Who needs this report?

  • Utility managers
  • Utility C-suite executives
  • Analytics vendors
  • Data scientists
  • Cloud providers
  • Regulators
  • Investor community
Table of Contents
Product Code: MO-IOTAU-18

Table of Contents

1. Executive Summary

  • 1.1. Introduction
  • 1.2. Market Conditions
  • 1.3. Market Forecast

2. Market Issues

  • 2.1. Data Analytics and the Energy Cloud
    • 2.1.1. Data Management Challenges
    • 2.1.2. Use of Analytics
    • 2.1.3. Data Insights
    • 2.1.4. Use Cases
  • 2.2. Analytics Case Studies
    • 2.2.1. Revenue Protection
    • 2.2.2. Predictive Maintenance
    • 2.2.3. Productivity Gains
  • 2.3. Analytics Project Costs
  • 2.4. Data Privacy and Governance
  • 2.5. Regional Adoption
    • 2.5.1. North America
    • 2.5.2. Europe
    • 2.5.3. Asia Pacific
    • 2.5.4. Rest of World
  • 2.6. Strategy

3. Technology Issues

  • 3.1. Introduction
  • 3.2. Analytics Evolution
  • 3.3. Analytics Applications
    • 3.3.1. Asset Management
    • 3.3.2. Edge and Cloud Analytics
    • 3.3.3. Hybrid Model
  • 3.4. Related Technologies
  • 3.5. Data Lakes, Data Fabrics, and Digital Twins
  • 3.6. Effective Outcomes
  • 3.7. Communication Networks

4. Key Industry Players

  • 4.1. Introduction
  • 4.2. ABB
  • 4.3. AutoGrid
  • 4.4. Cisco
  • 4.5. C3 IoT
  • 4.6. Clockwork
  • 4.7. FogHorn Systems
  • 4.8. GE
  • 4.9. Grid4C
  • 4.10. Honeywell
  • 4.11. IBM
  • 4.12. Itron
  • 4.13. Landis+Gyr
  • 4.14. Oracle
  • 4.15. OSIsoft
  • 4.16. SAP
  • 4.17. SAS
  • 4.18. Schneider Electric
  • 4.19. Seeq
  • 4.20. Siemens
  • 4.21. SpaceTime Insight (Nokia)
  • 4.22. Tantalus
  • 4.23. Teradata
  • 4.24. TROVE
  • 4.25. Uptake

5. Market Forecasts

  • 5.1. Forecast Methodology
  • 5.2. Global Outlook
  • 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. Utilities
    • 5.8.2. Vendors
    • 5.8.3. Regulators

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

  • Utility IoT Analytics Revenue by Region, World Markets: 2018-2028
  • Utility IoT Analytics Revenue by Application, North America: 2018-2028
  • Utility IoT Analytics Revenue by Application, Europe: 2018-2028
  • Utility IoT Analytics Revenue by Application, Asia Pacific: 2018-2028
  • Utility IoT Analytics Revenue by Application, Latin America: 2018-2028
  • Utility IoT Analytics Revenue by Application, Middle East & Africa: 2018-2028
  • Utility IoT Analytics Revenue by Application, World Markets: 2018-2028
  • Utility IoT Analytics Revenue by Spending Segment, World Markets: 2018-2028
  • Utility IoT Analytics Revenue by Spending Segment, North America: 2018-2028
  • Utility IoT Analytics Revenue by Spending Segment, Europe: 2018-2028
  • Utility IoT Analytics Revenue by Spending Segment, Asia Pacific: 2018-2028
  • Utility IoT Analytics Revenue by Spending Segment, Latin America: 2018-2028
  • Utility IoT Analytics Revenue by Spending Segment, Middle East & Africa: 2018-2028
  • Analytics Underpin the Energy Cloud
  • C3 IoT Platform Ingests a Variety of Utility Data
  • Data Analytics Evolution
  • A Hybrid Model of Edge and Cloud Analytics
  • A Data Lake Architecture

List of Tables

  • Utility IoT Analytics Revenue by Region, World Markets: 2018-2028
  • Utility IoT Analytics Revenue by Spending Segment, World Markets: 2018-2028
  • Utility IoT Analytics Revenue by Application, World Markets: 2018-2028
  • Utility IoT Analytics Revenue by Spending Segment, North America: 2018-2028
  • Utility IoT Analytics Revenue by Application, North America: 2018-2028
  • Utility IoT Analytics Revenue by Spending Segment, Grid Operations, North America: 2018-2028
  • Utility IoT Analytics Revenue by Spending Segment, Asset Performance, North America: 2018-2028
  • Utility IoT Analytics Revenue by Spending Segment, DER, North America: 2018-2028
  • Utility IoT Analytics Revenue by Spending Segment, Customer, North America: 2018-2028
  • Utility IoT Analytics Revenue by Spending Segment, Europe: 2018-2028
  • Utility IoT Analytics Revenue by Application, Europe: 2018-2028
  • Utility IoT Analytics Revenue by Spending Segment, Grid Operations, Europe: 2018-2028
  • Utility IoT Analytics Revenue by Spending Segment, Asset Performance, Europe: 2018-2028
  • Utility IoT Analytics Revenue by Spending Segment, DER, Europe: 2018-2028
  • Utility IoT Analytics Revenue by Spending Segment, Customer, Europe: 2018-2028
  • Utility IoT Analytics Revenue by Spending Segment, Asia Pacific: 2018-2028
  • Utility IoT Analytics Revenue by Application, Asia Pacific: 2018-2028
  • Utility IoT Analytics Revenue by Spending Segment, Grid Operations, Asia Pacific: 2018-2028
  • Utility IoT Analytics Revenue by Spending Segment, Asset Performance, Asia Pacific: 2018-2028
  • Utility IoT Analytics Revenue by Spending Segment, DER, Asia Pacific: 2018-2028
  • Utility IoT Analytics Revenue by Spending Segment, Customer, Asia Pacific: 2018-2028
  • Utility IoT Analytics Revenue by Spending Segment, Latin America: 2018-2028
  • Utility IoT Analytics Revenue by Application, Latin America: 2018-2028
  • Utility IoT Analytics Revenue by Spending Segment, Grid Operations, Latin America: 2018-2028
  • Utility IoT Analytics Revenue by Spending Segment, Asset Performance, Latin America: 2018-2028
  • Utility IoT Analytics Revenue by Spending Segment, DER, Latin America: 2018-2028
  • Utility IoT Analytics Revenue by Spending Segment, Customer, Latin America: 2018-2028
  • Utility IoT Analytics Revenue by Spending Segment, Middle East & Africa: 2018-2028
  • Utility IoT Analytics Revenue by Application, Middle East & Africa: 2018-2028
  • Utility IoT Analytics Revenue by Spending Segment, Grid Operations, Middle East & Africa: 2018-2028
  • Utility IoT Analytics Revenue by Spending Segment, Asset Performance, Middle East & Africa: 2018-2028
  • Utility IoT Analytics Revenue by Spending Segment, DER, Middle East & Africa: 2018-2028
  • Utility IoT Analytics Revenue by Spending Segment, Customer, Middle East & Africa: 2018-2028
  • Sampling of Analytics Use Cases
  • ABB SWOT Analysis
  • AutoGrid SWOT Analysis
  • Cisco SWOT Analysis
  • C3 IoT SWOT Analysis
  • Clockwork SWOT Analysis
  • FogHorn Systems SWOT Analysis
  • GE SWOT Analysis
  • Grid4C SWOT Analysis
  • Honeywell SWOT Analysis
  • IBM SWOT Analysis
  • Itron SWOT Analysis
  • Landis+Gyr SWOT Analysis
  • Oracle SWOT Analysis
  • OSIsoft SWOT Analysis
  • SAP SWOT Analysis
  • SAS SWOT Analysis
  • Schneider Electric SWOT Analysis
  • Seeq SWOT Analysis
  • Siemens SWOT Analysis
  • SpaceTime Insight SWOT Analysis
  • Tantalus SWOT Analysis
  • Teradata SWOT Analysis
  • TROVE SWOT Analysis
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