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市場調查報告書

電力、公共事業產業的資料貨幣化:市場分析、預測 (∼2030年)

Data Monetization in the Power and Utilities Industry, Forecast to 2030

出版商 Frost & Sullivan 商品編碼 913130
出版日期 內容資訊 英文 77 Pages
商品交期: 最快1-2個工作天內
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電力、公共事業產業的資料貨幣化:市場分析、預測 (∼2030年) Data Monetization in the Power and Utilities Industry, Forecast to 2030
出版日期: 2019年09月19日內容資訊: 英文 77 Pages
簡介

2020年以後,由於AI、巨量資料、5G、IoT的匯流造成「運算的第5波」,預測正式資料貨幣化。

本報告提供全球電力、公共事業產業的資料貨幣化的市場調查,資料貨幣化定義和概要,經營模式,實現推動因素、障礙分析,目前引進等級及利用案例,電力、公共事業資料的貨幣化的展望,收益、收益佔有率的預測,各貨幣化區分、地區的明細,成長機會、成功策略分析等資料彙整。

摘要整理

調查範圍、調查目的、調查手法

全球資料貨幣化市場

  • 數位轉型
  • 資料泡沫
  • 所謂資料貨幣化
  • 資料貨幣化的主要零組件
  • 資料貨幣化的通路
  • 資料貨幣化的金字塔
  • 實現推動因素
  • 障礙
  • 數據類型
  • 各種事業部門的利用案例、目前引進等級
  • 資料相關法規、保護法
  • 資料貨幣化的經營模式
  • 直接性資料貨幣化的經營模式
  • 直接性資料貨幣化的經營模式:案例
  • 間接的資料貨幣化的經營模式
  • 間接的資料貨幣化的經營模式:案例

電力、公共事業產業上資料貨幣化

  • 全球電力、公共事業市場
  • 電力、公共事業產業上資料貨幣化
  • 可貨幣化的電力、公共事業市場資料
  • 電力、公共事業市場資料的主要使用者

市場預測、市場趨勢

  • 收益預測
  • 收益佔有率預測:各地區
  • 收益預測:各地區
  • 成長率:各地區
  • 貨幣化的主要3個部門
  • 收益佔有率預測:各部門
  • 收益預測:各部門
    • DSM部門
    • IAM部門
    • PG部門

利用案例

  • 利用案例
  • 未來展望

成長機會、推薦行動

  • 成長機會:AI/ML
  • 成長機會:聯盟、經營模式
  • 策略性必要條件

三大預測

附錄

關於FROST & SULLIVAN

目錄
Product Code: MEB6-14

Post 2020, the 5th Wave of Computing Caused by the Convergence of AI, Big Data, 5G and IoT will Enable Effective Monetization of Data

In today's data-driven economy, data is a strategic asset to any business, and organizations around the world are occupied with anomalous amounts of data. Frost & Sullivan expects that the volume of data created would reach 175 Zettabytes (ZB) by 2025. Driven by this explosive growth in data and technological advancements in Big Data and computing, many businesses have now realized the value that data would unlock and are currently exploring ways to monetize their available data. The global data monetization market is in its nascent stages as organizations are still figuring out how best to mine, manage and monetize the data they create. Strong growth is forecast across a number of industry verticals, as better monetization combined with greater data has an impact.

Data monetization (DM) is the process of generating revenue from the available data by transforming it into a meaningful coherent whole. The process of DM can be carried out in 2 ways: directly and indirectly. In direct monetization, data is sold in its raw form or in chunks, without any processing, while indirect monetization involves the processing of data to extract insights or create value-added services that can be used to support business decisions.

As mentioned earlier, monetization of data across different business verticals is still at its early stages and there are significant regulatory and reputational barriers to overcome. Organizations will need to build a deep understanding of privacy and regulatory compliance requirements for utilizing the data and need to choose the right path towards DM.

Like any other businesses, the global energy and utilities industry is in the midst of a transformation driven by 3D's - Decentralization, Digitalization and Decarbonization. These 3 trends are disrupting the way in which electricity is generated, transmitted and consumed by end-users. As the energy and utilities industry continues to rapidly transform, massive amounts of data are continuously generated, and the area of DM is increasingly becoming a critical topic for the industry.

Other factors include regulatory compliance, data privacy, consumer protection, and security protocols.

This study provides insights into DM across the energy and utilities industry and its adoption across 3 main segments (power generation, demand side management and infrastructure and asset management) in the industry.

The study includes the following:

  • In the first part, it explores the concept of DM in general and the different business models and their adoption across different business verticals with use case examples.
  • In the second part, it offers insights into the current state of the global utilities and energy industry, the key consumers who would be interested in the data from this market, and the 3 main segments within the industry.
  • The last part includes insights into each of the segments, and use cases related to the monetization of data across each segment.

Key Issues Addressed:

Currently, the key question for utilities and energy companies is, how to turn that data into money - how to monetize the data? To monetize data, it is imperative that utilities and energy companies address the following issues:

  • Understand the type of data they own and the potential value of their data
  • Pick the right business model based on their in-house capabilities. Will they just sell the raw data? Will they sell the insights or create value-added services from the data? Will they partner with a third party for analytics?

Table of Contents

Executive Summary

  • Key Findings
  • Executive Summary
  • Executive Summary (continued)
  • Executive Summary (continued)
  • DM in the P&U Industry

Research Scope, Objectives and Methodology

  • Research Scope
  • Key Questions Addressed in the Study
  • Research Methodology

Global Data Monetization Market

  • Digital Transformation
  • Data Bubble
  • What is DM?
  • Four Components of DM
  • Pathways to DM
  • Pathways to DM (continued)
  • DM Pyramid
  • Key Enablers of DM
  • Key Barriers for DM
  • Data Types Available for Monetization
  • DM Use Cases and Current Level of Adoption Across Business Verticals
  • Data Regulations and Protection Laws
  • DM Business Models
  • Direct DM Business Model
  • Direct DM Business Model-Examples
  • Indirect DM Business Model
  • Indirect DM Business Model-Examples

DM in the P&U Industry

  • Global Power and Utilities Market
  • DM in the Power and Utilities Market
  • DM in the Power and Utilities Market (continued)
  • Key Monetizable Power and Utilities Market Data
  • Key Consumers of Power and Utilities Market Data

Forecasts and Trends-DM in the P&U Industry

  • DM in the P&U Industry-Revenue Forecast
  • DM in the P&U Industry-Percent Revenue Forecast by Region
  • DM in the P&U Industry-Revenue Forecast by Region
  • DM in the P&U Industry-Growth by Region
  • DM in the P&U Industry-3 Main Segments for Monetization
  • DM in the P&U Industry-Percent Revenue Forecast by Segment
  • DM in the P&U Industry-Revenue Forecast by Segment
  • DM in the DSM Segment
  • DM in the IAM Segment
  • DM in the PG Segment

Key Use Cases

  • DM Examples in the P&U Industry-Use Case 1
  • DM Examples in the P&U Industry-Use Case 2
  • DM Examples in the P&U Industry-Use Case 3
  • DM Examples in the P&U Industry-Use Case 4
  • DM Examples in the P&U Industry-Use Case 5
  • DM Examples in the P&U Industry-Use Case 6
  • DM Examples in the P&U Industry-Use Case 7
  • Future Perspective-DM in the P&U Industry

Growth Opportunities and Companies to Action

  • Growth Opportunity 1-AI/ML
  • Growth Opportunity 2-Partnerships & Business Models
  • Strategic Imperatives-DM in the P&U Industry

3 Big Predictions

  • 3 Big Predictions
  • Legal Disclaimer

Apendix

  • List of Exhibits
  • List of Exhibits (continued)

The Frost & Sullivan Story

  • The Frost & Sullivan Story
  • Value Proposition-Future of Your Company & Career
  • Global Perspective
  • Industry Convergence
  • 360º Research Perspective
  • Implementation Excellence
  • Our Blue Ocean Strategy
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