This Time series data includes the Date, Time, Active power and Reactive power, Voltage, and Global intensity including the number of metering devices.

Applications: Energy Utilities and Gaming Simulation - This dataset tracks real energy utilities application, usage, and online/mobile applications data from cities that have been renamed to futuristic Hellenic cities, while the user data have been altered and anonymized. - The dataset was based on 2014-2017 consumption data from utilities companies training datasets and was originally intended to be fused with multiple other datasets for a massive economy simulation. - The dataset can be used for training in actual energy utilities analyses but is also robust enough for other endeavors, one of which was to be used to simulate an energy economy for a realistic utilities management game.

The Utility Energy Registry (UER) is a database platform that provides streamlined public access to aggregated community-scale energy data. The UER is intended to promote and facilitate community-based energy planning and energy use awareness and engagement. On April 19, 2018, the New York State Public Service Commission (PSC) issued the Order Adopting the Utility Energy Registry under regulatory CASE 17-M-0315, and updated the protocol in a modification order on August 12, 2021. The order requires utilities and CCA administrators under its regulation to develop and report community energy use data to the UER. This dataset includes electricity and natural gas usage data reported at the city, town, and village level. Other UER datasets include energy use data reported at the county and ZIP code level.

Data in the UER can be used for several important purposes such as planning community energy programs, developing community greenhouse gas emissions inventories, and relating how certain energy projects and policies may affect a particular community. It is important to note that the data are subject to privacy screening and fields that fail the privacy screen are withheld.

The New York State Energy Research and Development Authority (NYSERDA) offers objective information and analysis, innovative programs, technical expertise, and support to help New Yorkers increase energy efficiency, save money, use renewable energy, and reduce reliance on fossil fuels. To learn more about NYSERDA’s programs, visit nyserda.ny.gov or follow us on X, Facebook, YouTube, or Instagram.

The Energy and Utilities Analytics market was valued at $7.16 billion in 2025 and is projected to reach $18.58 billion by 2034, growing at 11.2% CAGR.

Energy and Utilities Cloud Market Outlook

According to our latest research, the global Energy and Utilities Cloud market size reached USD 15.4 billion in 2024, reflecting robust digital transformation across the sector. The market is anticipated to expand at a CAGR of 14.2% during the forecast period, projecting a value of USD 40.2 billion by 2033. This remarkable growth is primarily driven by the increasing adoption of cloud-based solutions for operational efficiency, scalability, and cost-effectiveness within the energy and utilities sector. As organizations strive to modernize infrastructure and meet evolving regulatory demands, the demand for cloud technologies is surging globally.

One of the primary growth factors propelling the Energy and Utilities Cloud market is the pressing need for enhanced operational efficiency and real-time data analytics. Utilities and energy companies are increasingly leveraging cloud platforms to centralize data, optimize asset management, and improve predictive maintenance. With the integration of IoT devices and smart grids, cloud computing enables the seamless collection and analysis of vast datasets, facilitating informed decision-making and reducing downtime. Furthermore, cloud solutions empower organizations to scale resources dynamically, ensuring business continuity and agility in response to fluctuating demand patterns and market volatility. This trend is expected to intensify as digitalization accelerates throughout the sector.

Another significant driver is the increasing regulatory pressure and the need for compliance management. Governments and regulatory bodies worldwide are imposing stringent standards related to environmental sustainability, data privacy, and cybersecurity. Cloud-based platforms offer utilities and energy companies advanced compliance tools, automated reporting, and robust security measures, making it easier to adhere to evolving regulations. Additionally, the cloud enables seamless integration of renewable energy sources, supporting the global transition towards cleaner energy and facilitating compliance with decarbonization targets. The agility and transparency provided by cloud solutions are critical for navigating the complex regulatory landscape and maintaining stakeholder trust.

The growing emphasis on customer-centric business models is also fueling market growth. Utilities are adopting cloud-based customer information management systems to enhance customer engagement, personalize services, and streamline billing processes. By leveraging cloud analytics, companies can gain deeper insights into customer behavior, enabling the development of tailored offerings and proactive service delivery. The adoption of cloud technology is facilitating the shift from traditional, asset-focused operations to more service-oriented and value-driven strategies. As customer expectations continue to evolve, the ability to deliver seamless digital experiences will be a key differentiator for energy and utility providers.

From a regional perspective, North America currently dominates the Energy and Utilities Cloud market, driven by early adoption of advanced technologies, a mature regulatory environment, and significant investments in smart infrastructure. However, Asia Pacific is emerging as the fastest-growing region, propelled by rapid urbanization, rising energy demand, and large-scale government initiatives aimed at modernizing utility infrastructure. Europe also plays a significant role, particularly in the integration of renewable energy and the implementation of stringent sustainability targets. The Middle East & Africa and Latin America are witnessing increased adoption as well, although growth rates are comparatively moderate due to infrastructural and economic challenges.

Component Analysis

The Component segment of the Energy and Utilities Cloud market is bifurcated into Software and Services, both of which play pivotal roles

AI-driven data center growth is reshaping energy demand, raising concerns over electricity costs, water use and grid reliability while accelerating nuclear & renewable investment.

Energy And Utility Analytics Market size was valued at USD 3.07 Billion in 2023 and is projected to reach USD 10.41 Billion by 2031, growing at a CAGR of 16.5% from 2024 to 2031.

Global Energy And Utility Analytics Market Drivers:

Increasing Energy Demand and Consumption Patterns: With global energy consumption steadily rising due to population growth and industrial expansion, there is an increased demand for effective energy management. Energy and utility analytics assist utilities identify and predict usage patterns, allowing for more accurate demand forecasts. This leads to improved resource allocation, less energy waste, and more efficient production schedules. Advanced analytics make it easier to integrate renewable energy sources into the grid, resulting in a dependable and balanced energy supply that fulfills expanding demand while being environmentally friendly.

Integration of Renewable Energy Sources: Environmental concerns and regulatory regulations are driving the transition to renewable energy sources such as solar, wind, and hydropower. Integrating these variable energy sources into the regular system presents substantial hurdles. Energy analytics helps to handle these complications by projecting renewable energy generation, optimizing storage systems, and guaranteeing grid stability. By evaluating weather patterns and historical data, utilities can better estimate renewable energy output and integrate it into traditional power systems.

The U.S. Energy Information Adminstration collects and curates self-reported information from energy utilities about energy production and usage in the United States. This data set contains information from over 2,000 U.S. utilities in 2017. The information includes sources of energy, its uses in different economic sectors, and the revenues obtained from the sale of electrical energy.

Data Dictionary

<...

Key	List of...	Comment	Example Value
Utility.Number	Integer	Unique identifier for the utility.	34
Utility.Name	String	Utility Name	"City of Abbeville - (SC)"
Utility.State	String	A two letter abbreviation for the name of the state (e.g., CA for California)	"SC"
Utility.Type	String	Business type (e.g, Municipal, Private)	"Municipal"
Demand.Summer Peak	Float	Peak demand in the summer measured in megawatts	13.7
Demand.Winter Peak	Float	Peak demand in the winter measured in megawatts	10.8
Sources.Generation	Float	Net generation of power measured in megawatt hours	7000.0
Sources.Purchased	Float	Power purchased from other electric utilities measured in megawatt hours	59000.0
Sources.Other	Float	Power obtained from other sources (e.g., exchanged with other utilities) measured in megawatt hours	0.0
Sources.Total	Float	Total power from all sources measured in megawatt hours	66000.0
Uses.Retail	Float	Power sold on the retail market measured in megawatt hours	58000.0
Uses.Resale	Float	Power sold to other utilities for resale measured in megawatt hours	0.0
Uses.No Charge	Float	Power furnished without charge measured in megawatt hours	7000.0
Uses.Consumed	Float	Power consumed by the utility itself measured in megawatt hours	0.0
Uses.Losses	Float	Power losses of all kinds measured in megawatt hours	1000.0
Uses.Total	Float	Total power used for all purposes measured in megawatt hours	66000.0
Revenues.Retail	Float	Revenue from retail power sales measured in thousands of US dolllars	7536.0
Revenue.Delivery	Float	Revenue from customers who delivered power measured in thousands of US dollars	0.0
Revenue.Resale	Float	Revenue from sale of power to other utilities for resale measured in thousands of US dollars	0.0
Revenue.Adjustments	Float	Revnue from credits or other adjustments measured in thousands of US dollars	0.0
Revenue.Transmission	Float	Revenue from transmission of power measured in thousands of US dollars	0.0
Revenue.Other	Float	Revenue of all other kinds measured in thousands of US dollars	0.0
Revenue.Total	Float	Total revenue from all sources measured in thousands of US dollars	7536.0
Retail.Residential.Revenue	Float	Revenue from retail sales to residential customers measured in thousands of US dollars	4563.0
Retail.Residential.Sales	Float	Power delivered to residential customers measured in meagawatt hours	33000.0
Retail.Residential.Customers	Float	Number of residential customers

This dataset, compiled by NREL using data from ABB, the Velocity Suite (http://energymarketintel.com/) and the U.S. Energy Information Administration dataset 861 (http://www.eia.gov/electricity/data/eia861/), provides average residential, commercial and industrial electricity rates with likely zip codes for both investor owned utilities (IOU) and non-investor owned utilities. Note: the files include average rates for each utility (not average rates per zip code), but not the detailed rate structure data found in the OpenEI U.S. Utility Rate Database (https://openei.org/apps/USURDB/).

Abstract

This dataset, compiled by NREL using data from ABB, the Velocity Suite and the U.S. Energy Information Administration dataset 861, provides average residential, commercial and industrial electricity rates with likely zip codes for both investor owned utilities (IOU) and non-investor owned utilities. Note: the files include average rates for each utility (not average rates per zip code), but not the detailed rate structure data found in the OpenEI U.S. Utility Rate Database.

The NYSERDA-funded Integrated Energy Data Resource (IEDR) provides a single statewide platform to securely collect, integrate, analyze, and make accessible a large and diverse set of energy-related information from New York's electric, gas, and steam utilities and other sources. Useful access to useful energy data provided by the IEDR enables analyses that informs investment decisions, identifies operational inefficiencies, monitors the effectiveness of policy objectives, promotes innovation, and encourages new business models.

The IEDR includes analytic tools to enable energy stakeholders to design and run useful queries and calculations that can operate across all data types in the IEDR. Those tools' number and functionality should increase over time to align with, and support the use cases, that become operational as part of the IEDR. Additionally, relational information that describes the relationships among the various data elements in the IEDR materially affects the depth potential of users' ability to find, analyze, and generate useful information. User access to the IEDR data and analytic tools will be governed by the access controls that reflect and align with each type of user's legitimate needs while preventing unwarranted access to information that does not serve those legitimate needs.

Public, utility-managed, and commercial datasets processed by the platform and made available or planned to be made available to approved users in various forms include: • Feeder and sub-feeder hosting capacity • Installed and queued DER projects • Utility Rates and Tariffs • Customer billing and usage • Aggregated building usage • Disadvantaged Community Characteristics • Land, Parcel, and Terrain attributes

The New York State Energy Research and Development Authority (NYSERDA) offers objective information and analysis, innovative programs, technical expertise, and support to help New Yorkers increase energy efficiency, save money, use renewable energy, and reduce reliance on fossil fuels. To learn more about NYSERDA’s programs, visit https://nyserda.ny.gov or follow us on X, Facebook, YouTube, or Instagram.

According to Cognitive Market Research, the worldwide Energy and Utilities Analytics market size is USD 3.6 billion in 2024 and will expand at a compounded annual growth rate or CAGR of 16.78% from 2024 to 2031. Market Dynamics of Energy and Utilities Analytics Market

Key Drivers for Energy and Utilities Analytics Market

Increase in the use of analytics - An experienced data analyst may draw inferences from unstructured information, summarise results, and use visual aids to convey the entire narrative in an easy-to-understand manner. It is ensured that any business information is handled safely and that all procedures are in full compliance with applicable laws when a dedicated analyst is on board. The global market for energy & utility analytics is anticipated to be driven by this.
When some devices stay connected for ten years or more, the IoT connection landscape only slowly shifts. On the other hand, new Internet of Things technologies do affect the terrain over time. This would offer the worldwide energy and utility analytics industry greater opportunities.

Key Restraints for Energy and Utilities Analytics Market

The entire tech sector suffers from a skills gap. Still, operations roles are particularly badly affected because of how quickly things are changing and how much regular workforce expansion and upskilling is required. This is anticipated to limit market expansion.
The use of analytics solutions by energy and utility firms is facilitated by the requirement for precise and effective forecasting of power generation and consumption of energy.
Data Privacy and Security Issues hamper the market growth

Data privacy and security issues heavily impede the market for energy and utility analytics. These businesses collect large volumes of data to be analyzed, and the risk of data breaches and abuse is very high. The threat of breached sensitive data may discourage companies from embracing highly advanced analytics software. To counter these threats, energy and utility organizations must heavily invest in powerful security solutions that may be pricey and complicated. The cost of undertaking these protective steps, along with the continuing difficulties of staying in compliance with changing rules, can retard market growth and limit innovation in analytics technology. This market report encompasses news of new recent developments, trade regulations, import-export analysis, production analysis, value chain optimization, market share, effects of domestic and localized market players, examines opportunities in terms of emerging revenue pockets, market regulation changes, strategic market growth analysis, market size, category market growths, application niches and dominance, product approvals, product launches, geographic expansions, technological advancements in the market. To get more information about the market reach Data Bridge Market Research for an Analyst Brief, our experts will assist you in making an informed market decision to gain market growth.

Opportunities for Energy and Utilities Analytics

Growth of AI and Machine Learning Integration is boosting the market growth

One particular trend driving growth in the energy and utility analytics market is the convergence of artificial intelligence (AI) and machine learning (ML) technologies. These sophisticated analytical tools allow utilities to analyze huge volumes of data from smart meters and IoT devices, resulting in improved operational efficiency and predictive maintenance. For example, in August 2022, mCloud Technologies Corp., a pioneer in AI-driven asset management and ESG solutions, revealed a technology continuation partnership with Agnity Global Inc. This partnership will be concentrated on extending their successful collaboration, with emphasis on the enhanced delivery of innovative asset management solutions. By taking advantage of AI and sophisticated analytics, mCloud and Agnity will jointly build next-generation technologies that power operational excellence and enable sustainable behavior within the sector. Introduction of the Energy and Utilities Analytics Market

The term "energy and utility analytics" refers to data solutions that have a direct impact on corporate performance through cost reduction, risk detection, service improvement, and effective customer engagement. Energy and utility firms use these technologies to forecast demand, manage expenses, and make more strategic...

Investments in infrastructure have been on the development agenda of Latin American and Caribbean (LCR) countries as they move towards economic and social progress. Investing in infrastructure is investing in human welfare by providing access to and quality basic infrastructure services. Improving the performance of the electricity sector is one such major infrastructure initiative and the focus of this benchmarking data. A key initiative for both public and private owned distribution utilities has been to upgrade their efficiency as well as to increase the coverage and quality of service. In order to accomplish this goal, this initiative serves as a clearing house for information regarding the country and utility level performance of electricity distribution sector. This initiative allows countries and utilities to benchmark their performance in relation to other comparator utilities and countries. In doing so, this benchmarking data contributes to the improvement of the electricity sector by filling in knowledge gaps for the identification of the best performers (and practices) of the region. This benchmarking database consists of detailed information of 25 countries and 249 utilities in the region. The data collected for this benchmarking project is representative of 88 percent of the electrification in the region. Through in-house and field data collection, consultants compiled data based on accomplishments in output, coverage, input, labor productivity, operating performance, the quality of service, prices, and ownership. By serving as a mirror of good performance, the report allows for a comparative analysis and the ranking of utilities and countries according to the indicators used to measure performance. Although significant efforts have been made to ensure data comparability and consistency across time and utilities, the World Bank and the ESMAP do not guarantee the accuracy of the data included in this work. Acknowledgement: This benchmarking database was prepared by a core team consisting of Luis Alberto Andres (Co-Task Team Leader), Jose Luis Guasch (Co-Task Team Leader), Julio A. Gonzalez, Georgeta Dragoiu, and Natalie Giannelli. The team was benefited by data contributions from Jordan Z. Schwartz (Senior Infrastructure Specialist, LCSTR), Lucio Monari (Lead Energy Economist, LCSEG), Katharina B. Gassner (Senior Economist, FEU), and Martin Rossi (consultant). Funding was provided by the Energy Sector Management Assistance Program (ESMAP) and the World Bank. Comments and suggestion are welcome by contacting Luis Andres (landres@worldbank.org)

Explore the booming Data Spaces for Energy market, driven by a 21.2% CAGR and reaching USD 2.23 billion. Discover key drivers, trends, and leading companies shaping the future of energy data interoperability.

State comparisons data for energy production and consumption, specific utilities, etc. Data include a national ranking.

These layers reflect currently available data on two types of eligible ‘Energy Communities’ as defined in the Inflation Reduction Act (IRA).

Census tracts and directly adjoining tracts that have had coal mine closures since 1999 or coal-fired electric generating unit retirements since 2009 Counties located in Metropolitan Statistical Areas or Non-Metropolitan Statistical Areas that had 0.17 percent or greater direct employment related to the extraction, processing, transport or storage of coal, oil or natural gas at anytime after Dec 31, 2009; and had an unemployment rate for calendar year 2025 that was equal to or greater than the national average unemployment rate. These MSA/Non-MSA areas are energy communities as of June 2026 and will maintain that status until the unemployment rates for 2026 become available and a new list of energy communities is determined.

Note that while the NETL was the original data source for these layers in PolicyMap, ongoing updates to Energy Community designations are based directly on IRS notices related to Energy Community eligibility. The most recent being IRS Notice 2026-39.

Energy Data Access Platform Market Outlook

According to our latest research, the global Energy Data Access Platform market size reached USD 2.73 billion in 2024, reflecting a strong surge in adoption across multiple sectors. The market is projected to grow at a robust CAGR of 17.2% from 2025 to 2033, reaching an estimated value of USD 10.28 billion by 2033. Key growth factors include the expanding integration of smart grids, increasing focus on renewable energy adoption, and the rising need for real-time energy analytics to optimize consumption and efficiency.

A primary driver behind the rapid expansion of the Energy Data Access Platform market is the accelerating digital transformation within the global energy sector. Utilities and energy providers are facing mounting pressure to modernize their infrastructure to accommodate distributed energy resources, smart meters, and advanced grid technologies. This transformation necessitates seamless access to vast volumes of energy data, which these platforms facilitate by aggregating, standardizing, and delivering actionable insights. Enhanced data accessibility empowers stakeholders to optimize grid performance, reduce operational costs, and respond swiftly to dynamic market conditions, all of which are critical in an era marked by energy transition and decarbonization goals.

Another significant growth factor is the increasing adoption of renewable energy sources, such as solar and wind, which inherently introduce variability and complexity into energy grids. Energy Data Access Platforms play a pivotal role in integrating these intermittent sources by providing real-time data analytics, predictive maintenance, and demand forecasting. This capability is essential for balancing supply and demand, preventing grid instability, and ensuring reliable service delivery. Furthermore, regulatory mandates for open data and grid transparency are compelling utilities and energy providers to invest in robust data access solutions, thereby fueling market growth.

The proliferation of advanced technologies such as artificial intelligence, machine learning, and the Internet of Things (IoT) is further amplifying the value proposition of Energy Data Access Platforms. These technologies enable sophisticated analytics, anomaly detection, and predictive insights, which are critical for proactive grid management and energy trading. As more organizations recognize the competitive advantages offered by data-driven decision-making, demand for comprehensive and scalable data access platforms continues to rise. Additionally, the growing trend toward decentralized energy systems, including microgrids and prosumer networks, underscores the need for interoperable and secure data exchange mechanisms, further accelerating market expansion.

From a regional perspective, North America currently leads the Energy Data Access Platform market, driven by significant investments in smart grid infrastructure, supportive regulatory frameworks, and the presence of major technology vendors. Europe follows closely, benefiting from ambitious renewable energy targets and advanced grid modernization initiatives. The Asia Pacific region is witnessing the fastest growth, fueled by rapid urbanization, increasing energy demand, and government-led digitalization programs. Meanwhile, Latin America and the Middle East & Africa are gradually catching up as utilities in these regions embark on modernization efforts to enhance energy reliability and efficiency.

Component Analysis

The Energy Data Access Platform market is segmented by component into Software, Hardware, and Services, each playing a distinct role in the ecosystem. Software remains the most significant contributor to market revenue, accounting for over 50% of the market share in 2024. This dominance is attributed to the growing reliance on advanced analytics, data visualization, and integration tools that enable real-time monitoring and control of energy systems. Leading software solutions offer modularity, sca

Machine-readable plans and pricing scaffold for this API provider. Conforms to the API Commons Plans schema. Tier limits and prices are scaffold defaults; replace with provider-published values.

NextEra Energy, Atmos Energy, and Ameren had the highest American Customer Satisfaction Index® (ACSI®) of utilities in 2025, with a score of **. Southern Company, Consolidated Edison, and Dominion Energy followed, each with an ACSI® score of ** points.

Dataset

This dataset was created by Julius Kazibwe

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