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市場調查報告書

智慧電網分析的全球市場:2025年為止的預測

Global Smart Grid Analytics Market, Forecast to 2025

出版商 Frost & Sullivan 商品編碼 895844
出版日期 內容資訊 英文 125 Pages
商品交期: 最快1-2個工作天內
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智慧電網分析的全球市場:2025年為止的預測 Global Smart Grid Analytics Market, Forecast to 2025
出版日期: 2019年07月18日內容資訊: 英文 125 Pages
簡介

全球智慧電網分析市場銷售額,到2025年末預測將達到23億1000萬美元。

本報告提供全球智慧電網分析市場相關調查分析,市場概要,促進因素、課題,預測、趨勢,競爭分析,成長機會等相關的系統性資訊。

摘要整理

市場概要

促進因素、阻礙因素 - 綜合市場

  • 推動市場要素
  • 阻礙市場要素

預測、趨勢 - 綜合市場

  • 市場工程評量
  • 預測的前提條件
  • 收益預測
  • 收入比例預測:各地區
  • 收益預測:各地區等

市場佔有率、競爭分析 - 綜合市場

  • 市場佔有率
  • 市場佔有率考察
  • 競爭環境
  • 競爭要素、評估

競爭企業簡介

  • SAS
  • Oracle
  • General Electric Grid Solutions
  • Itron
  • Siemens
  • Landis & Gyr

大趨勢、產業融合的影響

  • 大趨勢對智慧電網分析市場的影響
  • 儀表分析
  • 消費者分析

輸配電 (T&D) 分析部門分析

  • 市場工程評量
  • 收益預測
  • 收益預測的考察

電表分析部門分析

  • 市場工程評量
  • 收益預測
  • 收益預測的考察

客戶分析部門分析

  • 市場工程評量
  • 收益預測
  • 收益預測的考察

北美市場分析

  • 主要調查結果
  • 收益預測
  • 收入比例預測:各部門
  • 收益預測:各部門
  • 收益預測的考察

歐洲市場分析

  • 主要調查結果
  • 收益預測
  • 收入比例預測:各部門
  • 收益預測:各部門
  • 收益預測的考察

亞太地區市場分析

  • 主要調查結果
  • 收益預測
  • 收入比例預測:各部門
  • 收益預測:各部門
  • 收益預測的考察

其他地區市場分析

  • 主要調查結果
  • 收益預測
  • 收入比例預測:各部門
  • 收益預測:各部門
  • 收益預測的考察

彙整

附錄

目錄
Product Code: K30A-14

Big Data Analytics to Drive Utility Energy Management, Cost Reduction and Equipment Reliability

The global smart grid analytics market is projected to generate $2.31 billion in sales by end of 2025. This study segments data analytics according to three main areas of the grid network, which ranges from customer endpoints, all the way up to the distribution and transmission network.

  • T&D analytics consist of analytics-related management and optimization of T&D assets.
  • Metering consists of analytics-related revenue assurance and revenue protection.
  • Customer analytics consists of analytics related to customer service retention.

These systems already generate massive amounts of data from endpoints, such as distribution network sensors and smart meters. There are currently approximately 319 million distribution sensors deployed globally, whereas on-the-edge, AMI networks transmit nearly 900 Terabytes data yearly alone.

A key issue is that much of this data is gathered in an unstructured manner and only 2% to 4% is actually used for analytic purposes.

Frost & Sullivan projects that the market will gradually switch to predictive and prescriptive analytics, especially as networks with low-latency capabilities are laid out to minimize the reactionary time (e.g., 5G). The industry predicts that 5G will start deployment in the 2021 to 2022 timeframe. Predictive and prescriptive analytics will incorporate statistical models that flag areas of inefficiency as well as evaluate and predict events in a timely manner, to finally have AI-enabled analytics that can deliver a holistic decision making tool.

Growing complexity with analytics and high capital cost are creating opportunities for new business models, for example, cloud-based managed services, where customers contribute very little upfront cost and instead pay a monthly subscription.

From a geographic standpoint, deployment is directly linked to a high installed base of endpoints, including distribution and substation automation and smart meters. Based on this, North America is currently the largest market for grid analytics. Nevertheless, Asia is expected to pick up momentum and will exhibit the fastest CAGR among all four regions, growing at a CAGR of 13.2% between 2018 and 2025. The emphasis is on improving energy access and minimizing financial losses (non-technical losses). India and China, in particular, have been leading the way when it comes to utility-scale renewable energy sources. India has a target of installing 175 GW and China has a solar target of 270 GW by 2022. Places such as Australia and Singapore are looking to minimize power interruption by integrating Geographic Information System (GIS) data analytics and forecast events. Japan, on the other hand, will be an ideal market for customer analytics due to its plans for 100% penetration of smart meters by the year 2024. This would consist of energy efficiency and real-time consumption data of appliances.

Table of Contents

Executive Summary

  • Introduction
  • Introduction (continued)
  • Introduction (continued)
  • Market Engineering Measurements
  • Market Engineering Measurements (continued)
  • T&D Analytics
  • Metering Analytics
  • Customer Engagement Analytics
  • CEO's Perspective

Market Overview

  • Smart Grid Analytics
  • Transitioning From Descriptive to Predictive Analytics
  • Transitioning From Descriptive to Predictive Analytics (continued)
  • Smart Grid Analytics-Segmentation
  • Smart Grid Analytics-Segmentation (continued)
  • Key Questions this Study will Answer
  • Product Scope and Market Definitions
  • Regional Hot Spots
  • Market Segmentation
  • Market Distribution Channels

Drivers and Restraints-Total Smart Grid Analytics Market

  • Market Drivers
  • Drivers Explained
  • Drivers Explained (continued)
  • Drivers Explained (continued)
  • Drivers Explained (continued)
  • Drivers Explained (continued)
  • Drivers Explained (continued)
  • Drivers Explained (continued)
  • Market Restraints
  • Restraints Explained
  • Restraints Explained (continued)
  • Restraints Explained (continued)

Forecasts and Trends-Total Smart Grid Analytics Market

  • Market Engineering Measurements
  • Market Engineering Measurements (continued)
  • Forecast Assumptions
  • Revenue Forecast
  • Percent Revenue Forecast by Region
  • Revenue Forecast by Region
  • Revenue Forecast Discussion

Market Share and Competitive Analysis-Total Smart Grid Analytics Market

  • Market Share
  • Market Share Discussion
  • Competitive Environment
  • Competitive Factors and Assessment

Competitor Profiles

  • SAS
  • Oracle
  • General Electric Grid Solutions
  • Itron
  • Siemens
  • Landis & Gyr

Mega Trends and Industry Convergence Implications

  • Mega Trend Impact on the Smart Grid Analytics Market
  • Meter Analytics-Mega Trend Impact
  • Consumer Analytics-Mega Trend Impact
  • Consumer Analytics-Mega Trend Impact (continued)

Transmission and Distribution (T&D) Analytics Segment Analysis

  • Market Engineering Measurements
  • Revenue Forecast
  • Revenue Forecast Discussion
  • Revenue Forecast Discussion (continued)

Metering Analytics Segment Analysis

  • Market Engineering Measurements
  • Revenue Forecast
  • Revenue Forecast Discussion
  • Revenue Forecast Discussion (continued)

Customer Analytics Segment Analysis

  • Market Engineering Measurements
  • Revenue Forecast
  • Revenue Forecast Discussion
  • Revenue Forecast Discussion (continued)

North America Analysis

  • North America Key Findings
  • Revenue Forecast
  • Percent Revenue Forecast by Segment
  • Revenue Forecast by Segment
  • Revenue Forecast Discussion
  • Revenue Forecast Discussion (continued)
  • Revenue Forecast Discussion (continued)
  • Revenue Forecast Discussion (continued)

Europe Analysis

  • Europe Key Findings
  • Revenue Forecast
  • Percent Revenue Forecast by Segment
  • Revenue Forecast by Segment
  • Revenue Forecast Discussion
  • Revenue Forecast Discussion (continued)
  • Revenue Forecast Discussion (continued)
  • Revenue Forecast Discussion (continued)

Asia-Pacific Analysis

  • Asia-Pacific Key Findings
  • Revenue Forecast
  • Percent Revenue Forecast by Segment
  • Revenue Forecast by Segment
  • Revenue Forecast Discussion
  • Revenue Forecast Discussion (continued)
  • Revenue Forecast Discussion (continued)
  • Revenue Forecast Discussion (continued)
  • Revenue Forecast Discussion (continued)
  • Revenue Forecast Discussion (continued)

Rest of the world Analysis

  • ROW Key Findings
  • Revenue Forecast
  • Percent Revenue Forecast by Segment
  • Revenue Forecast by Segment
  • Revenue Forecast Discussion
  • Revenue Forecast Discussion (continued)
  • Revenue Forecast Discussion (continued)

The Last Word

  • The Last Word-3 Big Predictions
  • Legal Disclaimer

Appendix

  • Market Engineering Methodology
  • List of Exhibits
  • List of Exhibits (continued)
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