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市場調查報告書

公共事業經營者用分析的利用案例、平台、服務:全球市場分析、預測

Utility Analytics - Use Cases, Platforms and Services: Global Market Analysis and Forecasts

出版商 Navigant Research 商品編碼 364585
出版日期 內容資訊 英文 57 Pages; 48 Tables, Charts & Figures
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公共事業經營者用分析的利用案例、平台、服務:全球市場分析、預測 Utility Analytics - Use Cases, Platforms and Services: Global Market Analysis and Forecasts
出版日期: 2016年07月27日 內容資訊: 英文 57 Pages; 48 Tables, Charts & Figures
簡介

全球公共事業經營者用分析的收益規模預計從2016年的9億4480萬美元,成長到2025年36億美元的規模。

本報告提供全球公共事業經營者用分析的市場,能源價值鏈的各處的分析解決方案的區分與引進案例,影響市場成長因素分析,技術引進的重要零組件與課題,主要企業簡介,各地區、引進種類的收益規模的變化與預測,公共事業經營者及供應商的建議等彙整資料調查。

第1章 摘要整理

第2章 市場課題

  • 公共事業經營者用分析概要
    • 分析的區分和輸配電部門的利用案例
      • 資產最佳化分析
        • National Grid
      • 電網管理分析
        • Pacific Gas and Electric
      • 需求端分析
        • Puget Sound Energy
      • 客戶服務分析
        • Sacramento Municipal Utility District
    • 雲端和電力公司的影響
  • 供應商環境
    • 管理服務、雲端、IoT
  • 市場推進因素
  • 市場障礙

第3章 技術

  • 分析技術概要、課題
    • 分析策略的3個零組件
    • Library Anne方法的實踐
    • 確保適當人材
  • 資料管治:中心的零組件
  • 分析發展藍圖的建立

第4章 主要企業

  • ABB
  • AutoGrid
  • Bit Stew
  • Brillio
  • Cisco Systems
  • C3 IoT
  • GE
  • Grid4C
  • IBM
  • Itron
  • Landis+Gyr
  • Opower
  • Oracle
  • OSIsoft
  • SAP
  • SAS
  • Silver Spring Networks
  • Space-Time Insight
  • Teradata
  • TROVE

第5章 市場預測

  • 簡介、預測手法
  • 全球展望
    • 各地區焦點
  • 北美
  • 歐洲
  • 亞太地區
  • 南美
  • 中東、非洲
  • 總論、建議
    • 對公共事業經營者的建議
    • 對供應商的建議

第6章 簡稱、用語

第7章 目錄

第8章 圖表

第9章 調查範圍、資訊來源、調查手法、註記

目錄
Product Code: UAPS-16

Never before have power utilities needed such a comprehensive, holistic strategy for advanced analytics as they do today. In some form, utilities have used analytics for as long as-or longer than-computers. But today's utility is faced with a confluence of factors that makes the need more urgent and the task more complicated than ever. Long established grid equipment vendors and a plethora of new startups have developed big data analytics solutions that integrate data from a rapidly growing number of connected devices on the grid and turn it into actionable intelligence.

From meters to automated substations and intelligent electronic devices along feeders, smart equipment is sending an exponentially growing amount of data back to network operations centers worldwide. Yet, to date, most utilities have taken a one-off, project-based approach to analytics, with decision-making, data storage, and procurement often taking place within siloed departments. Numerous inefficiencies and restrictions can result due to lack of knowledge and access to data. Utilities have recognized this problem and-given the growing challenges faced by the industry-are working proactively to expand their analytics strategy to the entire enterprise. According to Navigant Research, global utility analytics revenue is expected to grow from $944.8 million in 2016 to $3.6 billion in 2025.

This Navigant Research report analyzes the global market for utility analytics platforms and services and describes the various use cases for which solutions are being developed and deployed. The study discusses significant market drivers and challenges in the market for utility analytics. Global market forecasts that include four segments of analytics broken down into four spending components extend through 2025. The report also provides in-depth profiles of key vendors in the utility analytics market and examines several utility deployment case studies.

Key Questions Addressed:

  • What regional policy and economic drivers and challenges influence the market for utility analytics?
  • What environmental and social drivers and challenges influence this market?
  • What are the key application segments for utility analytics?
  • What are the main pain points associated with deploying analytics solutions?
  • What types of service models are available, and what are the pros and cons of each?
  • Which vendors are providing the most competitive solutions in the market for utility analytics?
  • What are the key technology segments for this market?

Who needs this report?

  • Utilities
  • Software vendors
  • Systems integrators
  • Regulators and policymakers
  • Government agencies
  • Investor community

Table of Contents

1. Executive Summary

  • 1.1 Introduction
  • 1.2 Market Trends
  • 1.3 Global Outlook for Utility Analytics

2. Market Issues

  • 2.1 Overview of Utility Analytics
    • 2.1.1 Analytics Segments and Use Cases for Transmission and Distribution
      • 2.1.1.1 Asset Optimization Analytics
        • 2.1.1.1.1. Strategic Asset Management at National Grid
      • 2.1.1.2 Grid Management Analytics
        • 2.1.1.2.1. Real-Time Situational Intelligence at Pacific Gas and Electric
      • 2.1.1.3 Demand-Side Analytics
        • 2.1.1.3.1. Energy Efficiency Analytics Pilot and Puget Sound Energy
      • 2.1.1.4 Customer Operations Analytics
        • 2.1.1.4.1. Sacramento Municipal Utility District: Customer Experience Excellence Initiative
    • 2.1.2 The Cloud and Its Implications for Power Utilities
  • 2.2 Vendor Landscape
    • 2.2.1 Managed Services, the Cloud, and IoT
  • 2.3 Market Drivers
    • 2.3.1 There Is Just More Data
    • 2.3.2 Availability of Data Drives Innovation
    • 2.3.3 Vendors Really Want Analytics to Take Off
    • 2.3.4 Public Interest and Funding
    • 2.3.5 Utilities De-Siloing for Efficiency
    • 2.3.6 O&M Status Quo Becoming Unaffordable
    • 2.3.7 Increasing Pressure for Improved Reliability
    • 2.3.8 Service Models Enabling Adoption
  • 2.4 Market Barriers
    • 2.4.1 Messy Data
    • 2.4.2 High Risks in Enterprise Data Management
    • 2.4.3 Staffing for Data Analytics
    • 2.4.4 Mistrust of Machines
    • 2.4.5 Cyber Security

3. Technology Issues

  • 3.1 Analytics Technology Introduction and Challenges
    • 3.1.1 The Three Components of an Analytics Strategy
    • 3.1.2 Implementing a Librarian Approach
    • 3.1.3 Finding the Right People
  • 3.2 Data Governance: A Central Component
  • 3.3 Developing an Analytics Roadmap
    • 3.3.1 Understand What Is Possible
    • 3.3.2 Identify What to Address
    • 3.3.3 Determine Where and When to Analyze Data
    • 3.3.4 Understand the Role of New Technologies
    • 3.3.5 Unbundle the Data Storage Question
    • 3.3.6 Assign the Right People for the Job
    • 3.3.7 Partner with the Right Vendor

4. Key Industry Players

  • 4.1 Introduction
    • 4.1.1 ABB
    • 4.1.2 AutoGrid
    • 4.1.3 Bit Stew
    • 4.1.4 Brillio
    • 4.1.5 Cisco Systems
    • 4.1.6 C3 IoT
    • 4.1.7 GE
    • 4.1.8 Grid4C
    • 4.1.9 IBM
    • 4.1.10 Itron
    • 4.1.11 Landis+Gyr
    • 4.1.12 Opower
    • 4.1.13 Oracle
    • 4.1.14 OSIsoft
    • 4.1.15 SAP
    • 4.1.16 SAS
    • 4.1.17 Silver Spring Networks
    • 4.1.18 Space-Time Insight
    • 4.1.19 Teradata
    • 4.1.20 TROVE

5. Market Forecasts

  • 5.1 Introduction and Forecast Methodology
  • 5.2 Global Outlook
    • 5.2.1 Regional Highlights
  • 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 Recommendations for Utilities
    • 5.8.2 Recommendations for Vendors

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

  • Total Utility Analytics Revenue by Region, World Markets: 2016-2025
  • Total Utility Analytics Revenue by Application Segment, North America: 2016-2025
  • Total Utility Analytics Revenue by Application Segment, Europe: 2016-2025
  • Total Utility Analytics Revenue by Application Segment, Asia Pacific: 2016-2025
  • Total Utility Analytics Revenue by Application Segment, Latin America: 2016-2025
  • Total Utility Analytics Revenue by Application Segment, Middle East & Africa: 2016-2025
  • Total Utility Analytics Revenue by Application Segment, World Markets: 2016-2025
  • Total Utility Analytics Revenue by Spending Segment, World Markets: 2016-2025
  • Total Utility Analytics Revenue by Spending Segment, Customer Analytics, Asia Pacific: 2016-2025
  • Total Utility Analytics Revenue by Spending Segment, North America: 2016-2025
  • Total Utility Analytics Revenue by Spending Segment, Europe: 2016-2025
  • Total Utility Analytics Revenue by Spending Segment, Asia Pacific: 2016-2025
  • Total Utility Analytics Revenue by Spending Segment, Latin America: 2016-2025
  • Total Utility Analytics Revenue by Spending Segment, Middle East & Africa: 2016-2025
  • Analytics Use Cases in the Energy Value Chain
  • Application Segments and Benefits of Utility Analytics

List of Tables

  • Total Utility Analytics Revenue by Region, World Markets: 2016-2025
  • Total Utility Analytics Revenue by Spending Segment, World Markets: 2016-2025
  • Total Utility Analytics Revenue by Application Segment, World Markets: 2016-2025
  • Total Utility Analytics Revenue by Spending Segment, North America: 2016-2025
  • Total Utility Analytics Revenue by Application Segment, North America: 2016-2025
  • Total Utility Analytics Revenue by Spending Segment, Grid Operations Analytics, North America: 2016-2025
  • Total Utility Analytics Revenue by Spending Segment, Asset Analytics, North America: 2016-2025
  • Total Utility Analytics Revenue by Spending Segment, Demand-Side Analytics, North America: 2016-2025
  • Total Utility Analytics Revenue by Spending Segment, Customer Analytics, North America: 2016-2025
  • Total Utility Analytics Revenue by Spending Segment, Europe: 2016-2025
  • Total Utility Analytics Revenue by Application Segment, Europe: 2016-2025
  • Total Utility Analytics Revenue by Spending Segment, Grid Operations Analytics, Europe: 2016-2025
  • Total Utility Analytics Revenue by Spending Segment, Asset Analytics, Europe: 2016-2025
  • Total Utility Analytics Revenue by Spending Segment, Demand-Side Analytics, Europe: 2016-2025
  • Total Utility Analytics Revenue by Spending Segment, Customer Analytics, Europe: 2016-2025
  • Total Utility Analytics Revenue by Spending Segment, Asia Pacific: 2016-2025
  • Total Utility Analytics Revenue by Application Segment, Asia Pacific: 2016-2025
  • Total Utility Analytics Revenue by Spending Segment, Grid Operations Analytics, Asia Pacific: 2016-2025
  • Total Utility Analytics Revenue by Spending Segment, Asset Analytics, Asia Pacific: 2016-2025
  • Total Utility Analytics Revenue by Spending Segment, Demand-Side Analytics, Asia Pacific: 2016-2025
  • Total Utility Analytics Revenue by Spending Segment, Latin America: 2016-2025
  • Total Utility Analytics Revenue by Application Segment, Latin America: 2016-2025
  • Total Utility Analytics Revenue by Spending Segment, Grid Operations Analytics, Latin America: 2016-2025
  • Total Utility Analytics Revenue by Spending Segment, Asset Analytics, Latin America: 2016-2025
  • Total Utility Analytics Revenue by Spending Segment, Demand-Side Analytics, Latin America: 2016-2025
  • Total Utility Analytics Revenue by Spending Segment, Customer Analytics, Latin America: 2016-2025
  • Total Utility Analytics Revenue by Spending Segment, Middle East & Africa: 2016-2025
  • Total Utility Analytics Revenue by Application Segment, Middle East & Africa: 2016-2025
  • Total Utility Analytics Revenue by Spending Segment, Grid Operations Analytics, Middle East & Africa: 2016-2025
  • Total Utility Analytics Revenue by Spending Segment, Asset Analytics, Middle East & Africa: 2016-2025
  • Total Utility Analytics by Application Segment Revenue, Demand-Side Analytics: Middle East & Africa: 2016-2025
  • Total Utility Analytics Revenue by Spending Segment, Customer Analytics, Middle East & Africa: 2016-2025
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