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公益事業およびエネルギー分析市場 - 成長、傾向、および予測(2019年 - 2024年)

Utility and Energy Analytics Market - Growth, Trends, and Forecast (2019 - 2024)

発行 Mordor Intelligence LLP 商品コード 547076
出版日 ページ情報 英文 120 Pages
納期: 2-3営業日
本日の銀行送金レート: 1USD=109.06円で換算しております。
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公益事業およびエネルギー分析市場 - 成長、傾向、および予測(2019年 - 2024年) Utility and Energy Analytics Market - Growth, Trends, and Forecast (2019 - 2024)
出版日: 2019年05月01日 ページ情報: 英文 120 Pages




第1章 イントロダクション

  • 調査の成果
  • 調査の仮定
  • 調査範囲

第2章 調査方法

第3章 エグゼクティブサマリー

第4章 市場力学

  • 市場概況
  • 市場成長および阻害要因のイントロダクション
  • 市場成長要因
    • エネルギー需要の増加および環境への関心の高まり
    • エネルギー消費パターン分析への消費者の関心の高まり
  • 市場阻害要因
    • 市場の成長課題へのセキュリティ上の懸念および互換性の問題
  • バリューチェーン分析
  • 業界の魅力 - ポーターのファイブフォース分析
    • 新規参入の脅威
    • バイヤー/消費者の交渉力
    • サプライヤーの交渉力
    • 代替製品の脅威
    • 業界内の競争

第5章 市場セグメント

  • 設置別
    • クラウド
    • オンプレミス
    • ハイブリッドクラウド
  • タイプ別
    • ソフトウェア
    • サービス
  • 用途別
    • メーター操作
    • 負荷予測
    • デマンドレスポンス
    • 流通計画
    • その他
  • 地域別
    • 北米
    • 欧州
    • アジア太平洋地域
    • 南米
    • 中東およびアフリカ

第6章 競合情勢

  • 企業プロファイル
    • Oracle Corporation
    • Capgemini SE
    • ABB Corporation
    • IBM Corporation
    • CA Technologies
    • SAS Institute Inc.
    • Siemens AG
    • Schneider Electric SE
    • SAP SE
    • BuildingIQ Inc.
    • Teradata Corporation

第7章 投資の見通し

第8章 市場機会および将来動向

Product Code: 53189

Market Overview

With the increase in the usage of the microgrids control system and other smart grid systems, which enables companies to monitor, control, and analyze grid functioning from a central control center, there is a vast untapped potential of advanced analytics tools and techniques, such as the big data platform and cloud computing. The favorable government regulations promoting smart grid solutions and exponentially increasing adoption of smart meters are also expected to drive the demand for big data analytics among utility vendors.

  • The use of electric vehicles (EVs) is growing, with the International Energy Agency (IEA) predicting that the number of electric cars on the road will increase from 3.1 million in 2017 to 125 million by 2030. It requires the vendors the opportunity to enable utilities to intelligently manage the new energy demand on the power grid.
  • In 2016, more than USD 10 billion was invested by utility companies in deploying around 700 million smart meters. This resulted in the generation of more than 100 petabytes of data per year. Also, the Chinese State Grid Corporation planned to install 380 million smart meters in the country by 2020. Due to these factors, the market studied has a huge opportunity over the forecast period.
  • Software segment, which comprises of risk analytics, asset management analytics, grid analytics, and other such analytics, is projected to hold its market position during the forecast period. With the help of big data, utility companies are not only understanding the customer consumption patterns but also in managing technical challenges, such as dispatch ability and load matching.
  • The use of Apache Hadoop is helping utility companies better understand asset health and accurately score operational risk. The French energy services company launched an energy consumption management and monitoring solution that uses big data analytics for remote monitoring.

Scope of the Report

The analytics landscape is quickly changing for energy and utility companies, with fresh data sources, both structured and unstructured including IoT data, and swelling competition from providers of alternative energy. In order to precisely predict demand, control costs, and expand business decisions, utility companies need data solutions that directly influence business performance by dropping costs, improving services, finding risks and efficiently support customer engagement.

Key Market Trends

Two-way Communication between Smart Meters and Utilities Enables Increased Application

  • Electricity cannot be stored in large volumes and supply and demand must be matched to achieve a balanced system. Predictive analytics plays an important role in accurately forecasting these demands.
  • The deployment of advanced metering infrastructure (AMI) by utilities have enabled electricity usage sensing and bi-directional communication between consumers and electric utilities. This provides ample opportunities to efficiently deal with peak demands and reduce energy consumption by using pricing incentives as in demand response (DR) programs.
  • Demand response provides an opportunity for consumers to play a significant role in the operation of the electric grid, by reducing or shifting their electricity usage during peak periods in response to time-based rates or other forms of financial incentives.
  • The growing availability of high resolution, high-dimensional electricity consumption data offers unique opportunities in developing forecasting models. But this has also offered a data repository for data analytics for balancing the supply and demand. Such models can lower the cost of electricity in wholesale markets, and in turn, lead to lower retail rates.

North America Leads and Pioneers Markets for Utility and Energy Analytics Solutions

  • North America is one of the leading adopters of analytics solutions and is considered to be one of the largest markets for utility and energy analytics. The demand in the region is mainly driven by a higher focus on innovations through R&D and technology advancement in developed economies, such as the United States and Canada. The region's large consumption of energy is also supporting the growth of the market. Moreover, the region has a strong foothold of vendors in the market. Some of them include IBM Corporation, Oracle Corporation, BuildingIQ, and SAS Institute Inc among others.
  • On April 2018, Building IQ partnered with Cypress Envirosystems, a company that offers electro-pneumatic thermostat solutions to retrofit existing commercial buildings and industrial facilities, to enhance productivity and save energy. Both companies want to bring the energy optimization mindset to facility managers in older buildings to share how visualization and data analytics can result in real savings.
  • According to the US Energy Information Administration, the total energy consumption is expected to increase by 5% between 2016 and 2040. With such less growth, it is essential for companies to reduce downtime to maintain profitability efficiently. This fuels the market for data analytics in utilities and energy.

Competitive Landscape

The utility and energy analytics market is highly competitive and consists of several major players. These major players with a prominent presence in the market are focusing on expanding their customer base across the market segments. The companies are leveraging on strategic collaborative initiatives to increase their market share and improve profitability. The companies operating in the market are also acquiring or partnering with start-ups working on utility and energy analytics technologies to strengthen their product capabilities and introduce new features.

  • May 2019 - Tapping deep machine learning, Oracle Utilities Analytics Insights has been able to identify the presence of an EV, show the time and frequency of charging and disaggregate the energy being consumed by the vehicle with advanced metering infrastructure (AMI) data. With this intelligence, utilities can reliably plan for the energy infusion needed to power EVs at scale and engage customers to charge at the times that are the least expensive for them and best for the health of the energy grid. The new EV detection capabilities from Oracle Utilities Analytics Insights are currently being piloted by a number of utilities.
  • October 2018 - Oracle announced its plan to acquire the utility software company, Opower, for USD 532 million. Opower's platform processes over 40% of all residential energy consumption data in the United States. If Oracle can develop additional use cases in the near term with this data, this could be a significant opportunity for Oracle to further access the utility industry.

Reasons to Purchase this report:

  • The market estimate (ME) sheet in Excel format
  • Report customization as per the client's requirements
  • 3 months of analyst support

Table of Contents


  • 1.1 Study Deliverables
  • 1.2 Study Assumptions
  • 1.3 Scope of the Study




  • 4.1 Market Overview
  • 4.2 Introduction to Market Drivers and Restraints
  • 4.3 Market Drivers
    • 4.3.1 Rising Demand for Energy and Increasing Emphasis on a Greener Environment
    • 4.3.2 Growing Consumer Focus on Energy Consumption Pattern Analysis
  • 4.4 Market Restraints
    • 4.4.1 Compatibility Issues and Skill Gap
    • 4.4.2 Security Concerns and Compatibility Issues
  • 4.5 Industry Value Chain Analysis
  • 4.6 Industry Attractiveness - Porter's Five Forces Analysis
    • 4.6.1 Threat of New Entrants
    • 4.6.2 Bargaining Power of Buyers/Consumers
    • 4.6.3 Bargaining Power of Suppliers
    • 4.6.4 Threat of Substitute Products
    • 4.6.5 Intensity of Competitive Rivalry


  • 5.1 By Deployment
    • 5.1.1 Cloud
    • 5.1.2 On-Premise
    • 5.1.3 Hybrid Cloud
  • 5.2 By Type
    • 5.2.1 Software
    • 5.2.2 Services
  • 5.3 By Application
    • 5.3.1 Meter Operation
    • 5.3.2 Load Forecasting
    • 5.3.3 Demand Response
    • 5.3.4 Distribution Planning
    • 5.3.5 Other Applications
  • 5.4 Geography
    • 5.4.1 North America
    • 5.4.2 Europe
    • 5.4.3 Asia-Pacific
    • 5.4.4 Latin America
    • 5.4.5 Middle East & Africa


  • 6.1 Company Profiles
    • 6.1.1 Oracle Corporation
    • 6.1.2 Capgemini SE
    • 6.1.3 ABB Corporation
    • 6.1.4 IBM Corporation
    • 6.1.5 CA Technologies (Broadcom Inc.)
    • 6.1.6 SAS Institute Inc.
    • 6.1.7 Siemens AG
    • 6.1.8 Schneider Electric SE
    • 6.1.9 SAP SE
    • 6.1.10 BuildingIQ Inc.
    • 6.1.11 Teradata Corporation



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