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能源IT、OT、分析 - ADMS、AMS、CIS、CRM、DERMS、DRMS、EMS、GIS、MDMS、MWMS、OMS、SCADA、分析：全球市场分析与预测（2023-2032）
市场调查报告书
商品编码
1396625

能源IT、OT、分析 - ADMS、AMS、CIS、CRM、DERMS、DRMS、EMS、GIS、MDMS、MWMS、OMS、SCADA、分析：全球市场分析与预测（2023-2032）

Energy IT, OT, and Analytics - ADMS, AMS, CIS, CRM, DERMS, DRMS, EMS, GIS, MDMS, MWMS, OMS, SCADA, and Analytics: Global Market Analysis and Forecasts, 2023-2032
出版日期: | 出版商: Guidehouse Insights | 英文 35 Pages | 订单完成后即时交付

价格
简介目录

智慧电网技术和再生能源在全球的普及正在促使电力公司投资先进的软体来处理这些数据并提供可行且有影响力的见解。 公用事业公司寻求最大限度地发挥新的、未开发的资料流的价值，并优化整个组织的业务流程。 能源 IT 和 OT 软体市场的特点是由成熟的 OEM、跨国商业技术提供者以及成长中的小型和利基解决方案提供者组成的多元化组合。 其中许多供应商正在广泛地重新改造其业务和技术，以传统创新为基础并着眼于未来。 虽然产品和策略路线图显然会因供应商而异，但常见的宏观趋势包括架构转型、重新思考定价和部署模型、简化升级框架、移动性和云端支援。Masu。

与此同时，领先的能源分析供应商继续透过卓越的演算法和用户体验 (UX)、扩展的应用程式组合以及逻辑、价值驱动的策略合作伙伴关係进行创新。 就在几年前，基本用例（负载预测、家庭能源管理、盗窃检测等）构成了能源分析策略的基础，但今天，这一趋势仍然很重要，特别是在电网边缘智慧方面，我们正在转向更雄心勃勃的目标集中在电能品质优化、端到端专案管理、经济规划、智慧家庭优化、电动车管理和复杂费率分析。

本报告检视了全球能源 IT 和 OT 软体市场，分析了 12 个企业 IT 和 OT 系统以及 14 个数据分析领域。

目录

第 1 章执行摘要

  • 简介
  • 调查范围
  • 世界预测

第二章市场趋势

  • 简介
  • IT/OT 系统概述
  • 能量分析概述
  • 市场驱动因素
    • 软体架构的演变
    • 定价创新
    • 云端和 SaaS 的采用率不断提高
    • 使用时间和复杂的费用
    • 监理障碍的侵蚀
  • 市场壁垒
    • 成本和复杂性
    • 大小写限制
    • 现有资料孤岛
    • 资料品质差
    • 沟通要求

第三章产业价值链

  • 竞争状况
    • 企业 IT
    • 企业导向的 OT
    • 资料分析
  • 商业模式的演变
    • 企业 IT
    • 企业导向的 OT
    • 资料分析
    • 云/SaaS

第四章市场预测

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

第五章结论与建议

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、资讯来源与研究方法、註

简介目录
Product Code: MF-EITOT-23

The proliferation of smart grid technologies and renewable energy around the world is leading utilities to invest in sophisticated software to process this data and deliver actionable and impactful insights. This convergence has ushered in a new era of innovation and investment in energy software as utilities look to maximize the value of new, untapped data streams and optimize business processes throughout their organizations. The market for energy IT and OT software is characterized by a diverse mix of established OEMs, multinational business technology providers, and a growing set of smaller, niche solution providers. Many of these providers are building on conventional innovations with a wide mix of forward-looking business and technology reorientations. While product and strategy roadmaps naturally vary by vendor, common macrotrends include architectural transformations, revamped pricing and deployment models, streamlined upgrade frameworks, mobility, and cloud enablement, among many others.

Leading energy analytics providers, meanwhile, continue to innovate via superior algorithms and user experiences (UX), extended application portfolios, and logical, value driven strategic partnerships. Whereas rudimentary use cases (e.g., load forecasting, home energy management, and theft detection) formed the foundation of energy analytics strategies just a few years ago-and still do to a large degree-conversations are shifting to more ambitious goals centered on grid-edge intelligence, power quality optimization, end-to-end program management, economic planning, smart home optimization, EV management, and complex rate analytics, among others.

This Guidehouse Insights report analyzes the market for 12 different enterprise IT and OT systems, as well as 14 segments of data analytics. The 10-year forecasts (2023-2032) include regional spending projections and spending segment breakouts for software license fees, implementation and integration services, annual maintenance fees, and software as a service revenues.

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 IT and OT Systems Overview
  • 2.3 Energy Analytics Overview
  • 2.4 Market Drivers
    • 2.4.1 Evolution of Software Architectures
    • 2.4.2 Pricing Innovations
    • 2.4.3 Growing Adoption of Cloud and SaaS
    • 2.4.4 Time-Of-Use and Complex Rates
    • 2.4.5 Eroding Regulatory Barriers
  • 2.5 Market Barriers
    • 2.5.1 Cost and Complexity
    • 2.5.2 Capitalization Restrictions
    • 2.5.3 Existing Data Silos
    • 2.5.4 Poor Data Quality
    • 2.5.5 Communications Requirements

3. Industry Value Chain

  • 3.1 Competitive Landscape
    • 3.1.1 Enterprise IT
    • 3.1.2 Enterprise OT
    • 3.1.3 Data Analytics
  • 3.2 Business Model Evolution
    • 3.2.1 Enterprise IT
    • 3.2.2 Enterprise OT
    • 3.2.3 Data Analytics
    • 3.2.4 Cloud & SaaS

4. Market Forecasts

  • 4.1 Introduction
  • 4.2 Forecast Methodology
  • 4.3 Market Forecast
    • 4.3.1 North America
    • 4.3.2 Europe
    • 4.3.3 Asia Pacific
    • 4.3.4 Latin America
    • 4.3.5 Middle East & Africa

5. Conclusions and Recommendations

6. Acronym and Abbreviation List

7. Table of Contents

8. Table of Charts and Figures

9. Scope of Study, Sources and Methodology, Notes