复杂资费分析 - 客户资讯系统与时间及复杂资费结构分析：全球市场分析与预测（2023-2032）

Complex Rate Analytics - Customer Information Systems and Time-of-Use and Complex Rate Analytics: Global Market Analysis and Forecasts, 2023-2032

出版日期: 2024年04月24日 | 出版商:

Guidehouse Insights | 英文 40 Pages; 31 Tables, Charts & Figures | 订单完成后即时交付

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简介目录图表

随着人们越来越认识到这是一种最佳实践，分时定价正变得越来越普遍并成为强大的推动力。包括美国在内的一些国家正在同时转向更复杂的关税结构，以有效利用先进计量基础设施的优势，并为公用事业和客户提供多方面的价值。从尖峰需求管理和分散式能源（DER）优化到能源价格承受能力和客户满意度，新的先进费率结构正在帮助公用事业公司应对当今和未来的挑战提供逻辑机制。

现有的客户服务提供者正在提高计费、建模和管理基本使用时间 (TOU) 和净计量定价结构的能力，但他们也在增强计费、建模和管理基本时间的能力。使用量(TOU) 和净计量定价结构，但不需要复杂的定价设计、影子计费或自动化，使用传统系统处理计费的能力与提供超个性化定价指导的能力之间仍然存在巨大差距。用于 TOU 建议、DER 程序註册和计费支援的复杂费率引擎和高级聚合方法提供了旨在扩展能源分析这一新领域的新软体功能。

本报告分析了能源产业的全球 IT/OT 软体和服务市场，并为全球能源（北美、欧洲、亚太地区、拉丁美洲、中东和非洲）提供 IT/OT/数据分析解决方案。市场促进和抑制因素。我们也预测了整体市场规模（2023-2032）的趋势以及按地区和技术划分的详细趋势。

简介
市场驱动因素
- 复杂的费用结构激增
- 传统 CIS（客户资讯系统）的局限性
- 高峰需求管理
- 客户满意度
- 能源负担能力
- 评估设计复杂性
- 网格互动 DER
- 联络中心效率低下
- 以客户为中心的监管的演变
市场壁垒
- 缺乏教育和意识
- 监理结构
- 云端安全
- 缺乏实用程式控制

第3章产业价值链

竞争状况
- 复杂定价结构的分析
- 企业导向的 CIS
- HEM（家庭能源管理）
商业模式的演变
- 端到端定价参与
- CIS 增强功能
- 软体定价模型
- 云端和 SaaS

第4章市场预测

预测方法
市场预测
- 北美
- 欧洲
- 亚太地区
- 拉丁美洲
- 中东/非洲

第 5 章结论/建议

第 6 章首字母缩写词和缩写词列表

第 7 章目录

第 8 章图表

第九章研究范围

第10章资料来源、研究方法及註

简介目录图表

Product Code: MF-CRAN-24

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.

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