복잡한 요금 분석 - 고객 정보 시스템 및 시간대별 및 복잡한 요금 체계 분석 : 세계 시장 분석 및 예측(2023-2032년)

Time-varying pricing is becoming more widespread and a powerful driver due to the growing perception that it is a best practice. Multiple countries, including the US, are seeing a simultaneous shift toward more complex rate structures that effectively leverage the benefits of advanced metering infrastructure to deliver multi-pronged value streams for utilities and customers alike. From peak demand management and distributed energy resource (DER) optimization to energy affordability and customer satisfaction, new and advanced rate structures offer a logical mechanism for utilities to address the challenges of today and tomorrow.

While established customer care providers have enhanced their abilities to bill, model, and manage basic time-of-use (TOU) and net metering rate structures, significant gaps remain in legacy systems' ability to support complex rate design, shadow billing, automated billing, and hyper-personalized rate coaching and education. Complex rate engines and advanced disaggregation methods employed for TOU recommendations, DER program enrollment, and billing support offer a glimpse into new software capabilities that aim to scale this emerging field of energy analytics.

This Guidehouse Insights report examines the global marketplace for energy IT and OT software and services. It outlines the drivers and barriers behind the growing market for energy IT, OT, and data analytics solutions for five global markets: North America, Europe, Asia Pacific, Latin America, and Middle East & Africa. It provides details on market sizing for the forecast period from 2023 through 2032, segmented by global region and technology segment.

Table of Contents

1. Executive Summary

• 1.1 Introduction
• 1.2 Report Scope
• 1.3 Global Forecast

2. Market Trends

• 2.1 Introduction
• 2.2 Market Drivers
  • 2.2.1 Proliferation of Complex Rates
  • 2.2.2 Legacy CIS Limitations
  • 2.2.3 Peak Demand Management
  • 2.2.4 Customer Satisfaction
  • 2.2.5 Energy Affordability
  • 2.2.6 Rate Design Complexities
  • 2.2.7 Grid-Interactive DER
  • 2.2.8 Contact Center Inefficiencies
  • 2.2.9 Customer-Centric Regulatory Evolutions
• 2.3 Market Barriers
  • 2.3.1 Lack of Education and Awareness
  • 2.3.2 Regulatory Structures
  • 2.3.3 Cloud Security
  • 2.3.4 Lack of Utility Control

3. Industry Value Chain

• 3.1 Competitive Landscape
  • 3.1.1 Complex Rate and Tariff Analytics
  • 3.1.2 Enterprise CIS
  • 3.1.3 HEM
• 3.2 Business Model Evolution
  • 3.2.1 End-to-End Rates Engagement
  • 3.2.2 CIS Enhancements
  • 3.2.3 Software Pricing Models
  • 3.2.4 Cloud and SaaS

4. Market Forecasts

• 4.1 Forecast Methodology
• 4.2 Market Forecast
  • 4.2.1 North America
  • 4.2.2 Europe
  • 4.2.3 Asia Pacific
  • 4.2.4 Latin America
  • 4.2.5 Middle East & Africa

5. Conclusions and Recommendations

• 5.1 Conclusions and Recommendations
  • 5.1.1 Three Key Takeaways
  • 5.1.2 Energy Analytics Providers
  • 5.1.3 Energy Companies

6. Acronym and Abbreviation List

7. Table of Contents

8. Table of Charts and Figures

9. Scope of Study

10. Sources, Methodology and Notes