公用事业和能源分析市场 - 增长、趋势、COVID-19 影响和预测（2022-2027 年）

在 2022-2027 年的预测期内，公用事业和能源分析市场预计将以 24.9% 的复合年增长率增长。

能源数据分析利用统计数据、人工智能和机器学习。这允许设施查看所有设施和设备的所有能源使用情况。对这种先进技术的需求不断增长。您可以预测未来的消耗模式，比较设施之间的消耗，并了解电力、电流和电压不平衡等电气因素。设施可以使用物联网传感器和其他智能分析系统来有效和负责任地管理能源使用。

主要亮点

• 大数据平台和云计算等高级分析工具和技术具有巨大的未开发潜力。微电网控制系统和其他智能电网系统的使用增加，使公司能够从中央控制中心监控、控制和分析电网功能，将推动公用事业和能源分析市场的显着增长。支持智能电网解决方案的有利政府立法和智能电錶使用的指数增长也有望增加公用事业对大数据分析的需求。
• 另一个可以从大数据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术作为一种特别可靠的电源在世界范围内越来越受欢迎。根据 IEA，可再生能源产能将在未来五年快速增长，预计到 2026 年将占全球产能增长的 95% 左右。预计 2020 年至 2026 年间，全球可再生能源发电容量将增长 60% 以上，达到 480 万千瓦以上。太阳能预计将主导可再生能源市场，在未来四年内产生的电力将远远超过水力和风能。
• 能源运营商可以利用分析解决方案优化发电和电力规划。可再生能源行业非常鼓励采用分析。当用于可再生能源发电厂时，预测分析可以提供准确的能源生产预测。通过预测机械故障，您可以提高运营效率。例如，IBM 的混合可再生能源预测技术利用大数据、预测分析和天气建模技术来估计太阳能和风能的可变资源。这将使可再生能源发电量增加 10%，从而可以为另外 14,000 户家庭供电。
• 此外，由于越来越多地使用微电网控製网络和其他令人印象深刻的晶格框架，巨大的信息平台和分布式计算等最先进的分析工具和技术还有很大的未开发潜力。组织从集中控制焦点筛选、控制和验证网络行为。公共事业对广泛信息分析的需求预计将受到推动智能网络部署的伟大政府指导方针和智能仪表的指数级增长的推动。
• 世界各地的多个政府都在限制人员流动，主要是为了减缓 COVID-19 的传播。因此，公用事业和能源部门可能会期待电力需求的转变。预计随着人们待在家里的时间更长，对住房消费和供水基础设施的需求也会增加。分析解决方案的使用主要帮助这些公司更好地预测需求响应并製定准确的分销计划。

主要市场趋势

基于云的部署模型预计将快速增长。

• 在技术进步的帮助下，基于云的部署模型具有高度可扩展性和成本效益，因此有望迅速发展。未来五年，负荷预测和需求响应市场预计将占据很大份额。
• 预测分析在公用事业领域发挥着重要作用，主要用于分析不断增长的数据量、识别故障有形资产以及更好地了解客户行为。公用事业公司依赖于包括各个级别的舒适功能的持续运营。因此，预测分析被广泛采用以避免产生巨大的影响。
• 此外，2022 年 1 月，着名的工业智能 SaaS 提供商 Uptake 将与主要的专业服务提供商 Cognizant 合作，为能源和公用事业行业实现统一数据管理。宣布建立合作伙伴关係。 Uptake Fusion 在 Microsoft Azure 中收集、传输、组织和管理数据，以提供先进的行业分析和资产绩效管理，同时与 Cognizant 合作提供行业咨询、系统集成和应用服务。工业公司可以在企业云环境中利用 Uptake Fusion，为内部和第三方数据消费者提供工业智能数据。开放式 API 还可用作当前用于仪表板、报告和监控的非专有工具的插件，例如 Microsoft Power BI、PowerApps 和 Azure 时序见解。
• Oracle 已超过其 2020 年在其物业和设施中使用 33% 的可再生能源的目标，并设定了到 2025 年达到 100% 的新目标。 Oracle 云还设定了到 2025 年使用 100% 可持续能源的新目标。预计这些因素将在预测期内提振市场需求。
• 根据 IDC 的数据，2022 年，数字化转型 (DX) 的总支出预计将达到 1.8 万亿美元。到 2025 年，全球数字化转型支出预计将达到 2.8 万亿美元。因此，随着数字化转型支出的增加，预计未来市场将面临各种有利可图的增长机会。

在公用事业和能源分析解决方案领域引领和开拓北美市场

• 北美被认为是公用事业和能源分析的最大市场之一，并且是分析解决方案的主要采用者之一。该地区的大部分需求来自发达经济体对通过研发和技术改进进行创新的日益关注。与加拿大相比，美国一直是该地区需求增长的主要因素。该国的需求正在增长，特别是在石油和天然气、炼油和发电领域。
• 该地区有大量进入市场的製造商。其中包括 SAS Institute Inc、甲骨文公司、BuildingIQ、IBM 公司等。该地区还在采用智能电网技术方面处于领先地位。在该地区能源公用事业领域运营的大量公司要么已全面实施大数据分析，要么正在实施大数据分析。在美国市场，许多大型投资者拥有的公用事业公司正在为其客户部署智能电錶。
• 美国能源信息署预测，从 2016 年到 2040 年，全球能源消耗量将增加 5%。鑑于低增长率，企业需要减少停机时间以保持有效盈利。这种情况推动了公用事业和能源领域的数据分析市场。为了减少能源消耗，美国政府也在对其能源系统进行现代化改造并转向 AMI（高级计量基础设施）。例如，根据美国能源信息署 (EIA) 的数据，住宅部门的 AMI 渗透率在全国最高。由于在人口最多的地区采取了雄心勃勃的举措，加拿大的智能电錶普及率很高。此外，许多小型市政和合作公用事业预计将在市场渗透方面发挥重要作用。
• 电力效率研究所预测，到 2024 年，美国每年将出货 9000 万个智能电錶，高于 2015 年的 6100 万个。随着 Consolidated Edison、Duke Energy、Ameren、Entergy、PSEG、National Grid 和 Xcel Energy 等多家运营商部署智能电錶，预计未来几年智能电錶的出货量将会增加。
• 此外，该地区的公用事业公司正在探索新技术，以满足客户对高科技数字体验日益复杂的期望。国内公用事业公司正在利用大数据进行更好的决策。天然气和电力公司 Baltimore Gas & Electric 正在进行一系列流程和组织变革，以支持其集中式数据分析解决方案并从中获取价值。

竞争格局

公用事业和能源分析市场竞争激烈，由几家大型企业组成。凭藉在市场上的突出地位，这些领先企业专注于在各个细分市场扩大客户群。这些公司正在形成战略联盟，以增加市场份额并提高盈利能力。市场参与者也在收购或与从事公用事业和能源分析技术的初创公司合作，以增强他们的产品能力或引入新功能。

• 2022 年 7 月 - 推动全球数字化转型的领先空间数据公司 Matterport, Inc. 宣布与为关键基础设施公司 Did 服务的工程、建筑和建筑公司 Burns & McDonnell 建立合作伙伴关係。该合作伙伴关係将使 Burns & McDonnell 的客户能够使用包括软件服务和硬件的 Matterport 数字孪生平台来优化他们的建设扩建和维护项目。该合作伙伴关係将使能源、公用事业和製造公司能够配备持续的数字和视觉文檔解决方案，从而在每个项目阶段改善运营、加强协作并提高安全性。.
• 2021 年 12 月 - 为医院和医疗保健组织提供数字信息系统的提供商 Cerner 已被甲骨文收购。 Cerner 利用大数据分析来存储和处理患者数据。此外，此次收购将使医疗专业人员能够为社区和特定个人提供更好的医疗保健。
• 2021 年 9 月 - 华盛顿州第二大公用事业公司斯诺霍米甚县公用事业区 (Snohomish PUD) 将使用 Siemens EnergyIP 解决方案管理仪表数据，作为该地区委託 TRC 公司实施、集成和提供的 Connect Up 计划的一部分

其他好处

• Excel 格式的市场预测 (ME) 表
• 三个月的分析师支持

内容

第1章介绍

• 研究假设和市场定义
• 调查范围

第2章研究方法

第 3 章执行摘要

第 4 章市场洞察

• 市场概览
• 工业吸引力 - 波特五力分析
  • 供应商的议价能力
  • 买家的议价能力
  • 新进入者的威胁
  • 替代品的威胁
  • 竞争公司之间的敌对关係
• COVID-19 对市场的影响

第5章市场动态

• 市场驱动力
  • 不断增长的能源需求和日益增长的环境保护重要性
  • 消费者对能源消费模式分析的兴趣增加
• 市场挑战
  • 兼容性问题和技能差距
  • 安全问题

第 6 章市场细分

• 按部署
  • 云
  • 本地
• 按类型
  • 软件
  • 按服务
• 按应用
  • 仪表操作
  • 负载预测
  • 需求响应
  • 分配方案
  • 其他应用
• 按地区
  • 北美
  • 欧洲
  • 亚太地区
  • 拉丁美洲
  • 中东和非洲

第 7 章竞争格局

• 公司简介
  • 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 投资分析

第9章 市场的将来性

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