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市場調查報告書
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1137483

公用事業和能源分析市場 - 增長、趨勢、COVID-19 影響和預測(2022-2027 年)

Utility and Energy Analytics Market - Growth, Trends, and Forecasts (2022 - 2027)

出版日期: | 出版商: Mordor Intelligence | 英文 120 Pages | 商品交期: 2-3個工作天內

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簡介目錄

在 2022-2027 年的預測期內,公用事業和能源分析市場預計將以 24.9% 的複合年增長率增長。

能源數據分析利用統計數據、人工智能和機器學習。這允許設施查看所有設施和設備的所有能源使用情況。對這種先進技術的需求不斷增長。您可以預測未來的消耗模式,比較設施之間的消耗,並了解電力、電流和電壓不平衡等電氣因素。設施可以使用物聯網傳感器和其他智能分析系統來有效和負責任地管理能源使用。

主要亮點

  • 大數據平台和雲計算等高級分析工具和技術具有巨大的未開發潛力。微電網控制系統和其他智能電網系統的使用增加,使公司能夠從中央控制中心監控、控制和分析電網功能,將推動公用事業和能源分析市場的顯著增長。支持智能電網解決方案的有利政府立法和智能電錶使用的指數增長也有望增加公用事業對大數據分析的需求。
  • 另一個可以從大數據分析中受益的重要因素是可再生能源。利用可再生能源的技術作為一種特別可靠的電源在世界範圍內越來越受歡迎。根據 IEA,可再生能源產能將在未來五年快速增長,預計到 2026 年將佔全球產能增長的 95% 左右。預計 2020 年至 2026 年間,全球可再生能源發電容量將增長 60% 以上,達到 480 萬千瓦以上。太陽能預計將主導可再生能源市場,在未來四年內產生的電力將遠遠超過水力和風能。
  • 能源運營商可以利用分析解決方案優化發電和電力規劃。可再生能源行業非常鼓勵採用分析。當用於可再生能源發電廠時,預測分析可以提供準確的能源生產預測。通過預測機械故障,您可以提高運營效率。例如,IBM 的混合可再生能源預測技術利用大數據、預測分析和天氣建模技術來估計太陽能和風能的可變資源。這將使可再生能源發電量增加 10%,從而可以為另外 14,000 戶家庭供電。
  • 此外,由於越來越多地使用微電網控製網絡和其他令人印象深刻的晶格框架,巨大的信息平台和分佈式計算等最先進的分析工具和技術還有很大的未開發潛力。組織從集中控制焦點篩選、控制和驗證網絡行為。公共事業對廣泛信息分析的需求預計將受到推動智能網絡部署的偉大政府指導方針和智能儀表的指數級增長的推動。
  • 世界各地的多個政府都在限制人員流動,主要是為了減緩 COVID-19 的傳播。因此,公用事業和能源部門可能會期待電力需求的轉變。預計隨著人們待在家裡的時間更長,對住房消費和供水基礎設施的需求也會增加。分析解決方案的使用主要幫助這些公司更好地預測需求響應並製定準確的分銷計劃。

主要市場趨勢

基於雲的部署模型預計將快速增長。

  • 在技術進步的幫助下,基於雲的部署模型具有高度可擴展性和成本效益,因此有望迅速發展。未來五年,負荷預測和需求響應市場預計將佔據很大份額。
  • 預測分析在公用事業領域發揮著重要作用,主要用於分析不斷增長的數據量、識別故障有形資產以及更好地了解客戶行為。公用事業公司依賴於包括各個級別的舒適功能的持續運營。因此,預測分析被廣泛採用以避免產生巨大的影響。
  • 此外,2022 年 1 月,著名的工業智能 SaaS 提供商 Uptake 將與主要的專業服務提供商 Cognizant 合作,為能源和公用事業行業實現統一數據管理。宣佈建立合作夥伴關係。 Uptake Fusion 在 Microsoft Azure 中收集、傳輸、組織和管理數據,以提供先進的行業分析和資產績效管理,同時與 Cognizant 合作提供行業諮詢、系統集成和應用服務。工業公司可以在企業雲環境中利用 Uptake Fusion,為內部和第三方數據消費者提供工業智能數據。開放式 API 還可用作當前用於儀表板、報告和監控的非專有工具的插件,例如 Microsoft Power BI、PowerApps 和 Azure 時序見解。
  • Oracle 已超過其 2020 年在其物業和設施中使用 33% 的可再生能源的目標,並設定了到 2025 年達到 100% 的新目標。 Oracle 雲還設定了到 2025 年使用 100% 可持續能源的新目標。預計這些因素將在預測期內提振市場需求。
  • 根據 IDC 的數據,2022 年,數字化轉型 (DX) 的總支出預計將達到 1.8 萬億美元。到 2025 年,全球數字化轉型支出預計將達到 2.8 萬億美元。因此,隨著數字化轉型支出的增加,預計未來市場將面臨各種有利可圖的增長機會。

在公用事業和能源分析解決方案領域引領和開拓北美市場

  • 北美被認為是公用事業和能源分析的最大市場之一,並且是分析解決方案的主要採用者之一。該地區的大部分需求來自發達經濟體對通過研發和技術改進進行創新的日益關注。與加拿大相比,美國一直是該地區需求增長的主要因素。該國的需求正在增長,特別是在石油和天然氣、煉油和發電領域。
  • 該地區有大量進入市場的製造商。其中包括 SAS Institute Inc、甲骨文公司、BuildingIQ、IBM 公司等。該地區還在採用智能電網技術方面處於領先地位。在該地區能源公用事業領域運營的大量公司要麼已全面實施大數據分析,要麼正在實施大數據分析。在美國市場,許多大型投資者擁有的公用事業公司正在為其客戶部署智能電錶。
  • 美國能源信息署預測,從 2016 年到 2040 年,全球能源消耗量將增加 5%。鑑於低增長率,企業需要減少停機時間以保持有效盈利。這種情況推動了公用事業和能源領域的數據分析市場。為了減少能源消耗,美國政府也在對其能源系統進行現代化改造並轉向 AMI(高級計量基礎設施)。例如,根據美國能源信息署 (EIA) 的數據,住宅部門的 AMI 滲透率在全國最高。由於在人口最多的地區採取了雄心勃勃的舉措,加拿大的智能電錶普及率很高。此外,許多小型市政和合作公用事業預計將在市場滲透方面發揮重要作用。
  • 電力效率研究所預測,到 2024 年,美國每年將出貨 9000 萬個智能電錶,高於 2015 年的 6100 萬個。隨著 Consolidated Edison、Duke Energy、Ameren、Entergy、PSEG、National Grid 和 Xcel Energy 等多家運營商部署智能電錶,預計未來幾年智能電錶的出貨量將會增加。
  • 此外,該地區的公用事業公司正在探索新技術,以滿足客戶對高科技數字體驗日益複雜的期望。國內公用事業公司正在利用大數據進行更好的決策。天然氣和電力公司 Baltimore Gas & Electric 正在進行一系列流程和組織變革,以支持其集中式數據分析解決方案並從中獲取價值。

競爭格局

公用事業和能源分析市場競爭激烈,由幾家大型企業組成。憑藉在市場上的突出地位,這些領先企業專注於在各個細分市場擴大客戶群。這些公司正在形成戰略聯盟,以增加市場份額並提高盈利能力。市場參與者也在收購或與從事公用事業和能源分析技術的初創公司合作,以增強他們的產品能力或引入新功能。

  • 2022 年 7 月 - 推動全球數字化轉型的領先空間數據公司 Matterport, Inc. 宣布與為關鍵基礎設施公司 Did 服務的工程、建築和建築公司 Burns & McDonnell 建立合作夥伴關係。該合作夥伴關係將使 Burns & McDonnell 的客戶能夠使用包括軟件服務和硬件的 Matterport 數字孿生平台來優化他們的建設擴建和維護項目。該合作夥伴關係將使能源、公用事業和製造公司能夠配備持續的數字和視覺文檔解決方案,從而在每個項目階段改善運營、加強協作並提高安全性。.
  • 2021 年 12 月 - 為醫院和醫療保健組織提供數字信息系統的提供商 Cerner 已被甲骨文收購。 Cerner 利用大數據分析來存儲和處理患者數據。此外,此次收購將使醫療專業人員能夠為社區和特定個人提供更好的醫療保健。
  • 2021 年 9 月 - 華盛頓州第二大公用事業公司斯諾霍米甚縣公用事業區 (Snohomish PUD) 將使用 Siemens EnergyIP 解決方案管理儀表數據,作為該地區委託 TRC 公司實施、集成和提供的 Connect Up 計劃的一部分

其他好處

  • Excel 格式的市場預測 (ME) 表
  • 三個月的分析師支持

內容

第1章介紹

  • 研究假設和市場定義
  • 調查範圍

第2章研究方法

第 3 章執行摘要

第 4 章市場洞察

  • 市場概覽
  • 工業吸引力 - 波特五力分析
    • 供應商的議價能力
    • 買家的議價能力
    • 新進入者的威脅
    • 替代品的威脅
    • 競爭公司之間的敵對關係
  • COVID-19 對市場的影響

第5章市場動態

  • 市場驅動力
    • 不斷增長的能源需求和日益增長的環境保護重要性
    • 消費者對能源消費模式分析的興趣增加
  • 市場挑戰
    • 兼容性問題和技能差距
    • 安全問題

第 6 章市場細分

  • 按部署
    • 本地
  • 按類型
    • 軟件
    • 按服務
  • 按應用
    • 儀表操作
    • 負載預測
    • 需求響應
    • 分配方案
    • 其他應用
  • 按地區
    • 北美
    • 歐洲
    • 亞太地區
    • 拉丁美洲
    • 中東和非洲

第 7 章競爭格局

  • 公司簡介
    • Oracle Corporation
    • Capgemini SE
    • ABB Corporation
    • IBM Corporation
    • General Electric Company
    • SAS Institute Inc.
    • Siemens AG
    • Schneider Electric SE
    • SAP SE
    • Teradata Corporation

第8章 投資分析

第9章 市場的將來性

簡介目錄
Product Code: 53189

The utility and energy analytics market is poised to expand at a CAGR of 24.9% over the forecast period 2022 - 2027. Energy data analytics uses statistics, artificial intelligence, and machine learning. It enables facilities to examine all energy usage across all facilities and equipment. The demand for such advanced technologies is consistently expanding. They can forecast future consumption patterns, compare consumption across facilities, and gain insight into electrical factors such as power, current, and voltage unbalance. The facilities could manage energy use efficiently and responsibly using IoT sensors and other intelligent analytics systems.

Key Highlights

  • There lies a huge untapped potential for advanced analytics tools and techniques, such as the big data platform and cloud computing. With the rise in the use of the microgrids control system and other smart grid systems, which enable businesses to monitor, control, and analyze grid functioning from a central control center, the market for utility and energy analytics will grow significantly. The need for big data analytics among utility providers is also anticipated to increase as a result of the favorable government legislation supporting smart grid solutions and the exponentially rising usage of smart meters.
  • Another significant element that can profit from big data analytics is renewable energy. Technologies utilizing renewable energy are becoming more popular on a global scale, particularly as a dependable source of electricity. According to the IEA, renewable energy capacity is anticipated to grow at a rapid pace in the following five years, accounting for about 95% of the increase in global power capacity by 2026. The global renewable electricity capacity is anticipated to increase by more than 60% between 2020 and 2026, reaching more than 4 800 GW. Solar energy is expected to dominate the renewables market, generating far more electricity in the next four years than hydropower and wind.
  • Energy utilities can optimize power generation and planning with analytics solutions. Analytics adoption is well encouraged by the renewable energy industry. When used in renewable energy power plants, predictive analytics can provide precise energy production forecasts. It anticipates mechanical glitches, thereby enhancing operational effectiveness. ​For instance, to estimate the variable resources for solar and wind power generation, IBM's hybrid renewable energy forecast technique makes use of big data, predictive analysis, and weather modeling technologies. This can provide 10% more renewable energy generation to the system, which is enough to power an additional 14,000 houses.
  • Furthermore, there is a vast untapped potential for cutting-edge analytics tools and methods, like the huge information stage and distributed computing, as a result of the expansion in the use of the microgrids control network and other brilliant lattice frameworks, which enable organizations to screen, control, and examine network working from a focal control focus. The demand for extensive information analytics among utility merchants is anticipated to be driven by great government guidelines pushing savvy network arrangements and exponentially expanding reception of shrewd meters.
  • Multiple governments across the world are increasingly limiting the movement of people primarily to slow down the spread of COVID-19. Due to this, the utilities and the energy sector may expect a shift in the demand for electricity. The residential consumption and demands on water infrastructure are also expected to witness an increase as people are at home for longer periods of time. The usage of analytics solutions will primarily help these companies better forecast the demand response and make accurate distribution planning.​

Key Market Trends

The cloud-based deployment model is expected to grow at a rapid pace.

  • The cloud-based deployment model is anticipated to grow at a rapid rate, aided by technological advancements, leading to high levels of scalability and cost-effectiveness. The markets for load forecasting and demand response are expected to have significant shares of the market over the next five years. ​
  • Predictive analytics plays a crucial role in the utility sector, mainly analyzing the growing data volumes, identifying failing physical assets, and improving customer behavior understanding. Utility companies rely on continuous operation, which includes pleasant functionality at every level. Hence, to avoid massive repercussions, predictive analytics is being widely adopted.​
  • Moreover, in January 2022, Uptake, a prominent provider of industrial intelligence software-as-a-service, announced a partnership with Cognizant, a significant player in professional services, to allow unified data management for the energy and utility industries. Uptake Fusion, which collects, transfers, organizes, and curates data in Microsoft Azure to provide advanced industrial analytics and asset performance management, has collaborated with Cognizant to provide industry consulting, systems integration, and application services. Industrial organizations can utilize Uptake Fusion in their enterprise cloud environment to supply data for industrial intelligence to internal and third-party data consumers. Users can also use its open APIs as plug-ins with current non-proprietary tools for dashboards, reporting, and monitoring, such as Microsoft Power BI, PowerApps, and Azure Time Series Insights.
  • Oracle surpassed its 2020 objective of 33% renewable energy use in Real Estate and Facilities and established a new goal of 100% by 2025. Oracle Cloud also established a new aim of using 100% sustainable energy by 2025. These factors are thus expected to bolster the demand for the market during the forecast period.
  • As per IDC, In 2022, the total spending on digital transformation (DX) is projected to reach 1.8 trillion U.S. dollars. By 2025, global digital transformation spending is forecasted to reach 2.8 trillion U.S. dollars. Hence with the rise in digital transformation spending, the market is expected to face various lucrative growth opportunities in the upcoming days.

North America to Lead and Pioneer Market for Utility and Energy Analytics Solutions

  • North America is regarded as one of the greatest markets for utilities and energy analytics and is one of the top adopters of analytics solutions. The region's demand is mostly driven by developed economies' increased emphasis on innovations through R&D and technological improvement. When compared to Canada, the United States is a major factor in increasing the demand from the region. Demand in the nation has increased, particularly from the oil and gas, refining, and power generation sectors.
  • The region has a strong foothold of manufacturers in the market. Some of them include SAS Institute Inc, Oracle Corporation, BuildingIQ, and IBM Corporation, among others. Also, the region has been at the forefront of adopting smart grid technology. A vast number of companies operating in the energy utility sector in the region have either fully deployed big data analytics or are in the process of implementation. Many large investor-owned utilities in the US market are still in the process of rolling out smart meters for their customers.
  • The US Energy Information Administration predicts that between 2016 and 2040, global energy consumption will rise by 5%. Companies must cut downtime to sustain profitability effectively in light of the low growth rate. The market for data analytics in utilities and energy is fueled by this. In order to decrease energy use, the US government is also modernizing its energy systems and switching to Advanced Metering Infrastructure (AMI). For instance, the residential sector saw the highest rate of AMI adoption in the nation, according to the US Energy Information Administration (EIA). Canada has a high smart meter penetration rate as a result of the country's ambitious endeavors in its most populous regions. It is also expected that a large number of smaller municipal and cooperative utilities will be crucial to market penetration.
  • The Institute for Electric Efficiency predicts that by 2024, there will be 90 million smart electricity meters shipped annually in the US, up from 61 million in 2015. The deployment of smart meters by several businesses, including Consolidated Edison, Duke Energy, Ameren, Entergy, PSEG, National Grid, and Xcel Energy, is anticipated to increase the number of smart meter shipments over the next years.
  • Furthermore, the electric power companies in the region are exploring new technologies to serve increasingly sophisticated customers to expect a high-tech digital experience. Utilities in the country are highly using big data for better decision-making. Baltimore Gas & Electric, a gas and electric utility, makes numerous process and organizational changes to support and drive value from a centralized data analytics solution.

Competitive Landscape

The utility and energy analytics market is extremely 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 strategic collaborative initiatives to increase their market share and improve profitability. The companies functioning 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.

  • July 2022 - Matterport, Inc., the leading spatial data company driving the digital transformation of the world, announced a partnership with Burns & McDonnell, an engineering, construction, and architecture firm providing services for critical infrastructure companies. Through the partnership, Burns & McDonnell customers can use the Matterport Digital Twin Platform, including software services and hardware, to optimize construction expansion and maintenance projects. The collaboration equips businesses in the energy, utilities, and manufacturing industries with a continuous digital, visual documentation solution that improves operations, enhances collaboration and increases safety in each project stage.
  • December 2021 - The provider of digital information systems for hospitals and healthcare institutions, Cerner, was purchased by Oracle Corporation. Cerner utilizes big data analytics to store and process the patient's data. Additionally, this acquisition will make it possible for medical experts to provide both communities and specific individuals with improved healthcare.
  • September 2021 - Snohomish County Public Utility District (Snohomish PUD), which is the second-largest publicly owned utility in Washington state, selected TRC Companies to implement, integrate and deliver its meter data management on the Siemens EnergyIP solution as a part of the utility's Connect Up program.

Additional Benefits:

  • The market estimate (ME) sheet in Excel format
  • 3 months of analyst support

TABLE OF CONTENTS

1 INTRODUCTION

  • 1.1 Study Assumptions and Market Definition
  • 1.2 Scope of the Study

2 RESEARCH METHODOLOGY

3 EXECUTIVE SUMMARY

4 MARKET INSIGHT

  • 4.1 Market Overview
  • 4.2 Industry Attractiveness - Porter's Five Force Analysis
    • 4.2.1 Bargaining Power of Suppliers
    • 4.2.2 Bargaining Power of Buyers
    • 4.2.3 Threat of New Entrants
    • 4.2.4 Threat of Substitute Products
    • 4.2.5 Intensity of Competitive Rivalry
  • 4.3 Impact of COVID-19 on the Market

5 MARKET DYNAMICS

  • 5.1 Market Drivers
    • 5.1.1 Rising Demand for Energy and Increasing Emphasis on a Greener Environment
    • 5.1.2 Growing Consumer Focus on Energy Consumption Pattern Analysis
  • 5.2 Market Challenges
    • 5.2.1 Compatibility Issues and Skill Gap
    • 5.2.2 Security Concerns

6 MARKET SEGMENTATION

  • 6.1 By Deployment
    • 6.1.1 Cloud
    • 6.1.2 On-premise
  • 6.2 By Type
    • 6.2.1 Software
    • 6.2.2 Services
  • 6.3 By Application
    • 6.3.1 Meter Operation
    • 6.3.2 Load Forecasting
    • 6.3.3 Demand Response
    • 6.3.4 Distribution Planning
    • 6.3.5 Other Applications
  • 6.4 Geography
    • 6.4.1 North America
    • 6.4.2 Europe
    • 6.4.3 Asia-Pacific
    • 6.4.4 Latin America
    • 6.4.5 Middle East & Africa

7 COMPETITIVE LANDSCAPE

  • 7.1 Company Profiles
    • 7.1.1 Oracle Corporation
    • 7.1.2 Capgemini SE
    • 7.1.3 ABB Corporation
    • 7.1.4 IBM Corporation
    • 7.1.5 General Electric Company
    • 7.1.6 SAS Institute Inc.
    • 7.1.7 Siemens AG
    • 7.1.8 Schneider Electric SE
    • 7.1.9 SAP SE
    • 7.1.10 Teradata Corporation

8 INVESTMENT ANALYSIS

9 FUTURE OF THE MARKET