• ****What is Utility Data? Utility data is the numeric value of the amount of water, energy, and electricity your building or facility uses. It tells you how much of each commodity you are using, including spend, usage, and emissions. As you may have guessed, high numbers are bad – they indicate more money spent on utility bills and higher emissions. one of my fiverr client give me this data set for analysis assignment.I completed that statistical analysis assignment. if you have any problem data analysis and r language I will help you.

***1. - Names and descriptions of variables in Utilities dataset. Variable Description month month (coded as a number) day day of the month on which bill was calculated year year of bill temp average temperature (degrees Celsius) for billing period kwh electricity usage (kwh) ccf gas usage (ccf) thermsPerDay a numeric vector billingDays number of billing days in billing period totalbill total monthly bill (in dollars) gasbill monthly gas bill (in dollars) elecbill monthly electric bill (in dollars) notes notes about the billing period donate (yes or no) did the person add money to their bill to be donated to Operation Fuel, a charity providing heat to families/small business in need

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

Monthly utility data for all City of Boston accounts. This data comes from Boston’s Enterprise Energy Management System. This software tool serves as the system of record for all municipal utility expenditures and energy/water use.

Electric utilities report a huge amount of information to the US government and other public agencies. This includes yearly, monthly, and even hourly data about fuel burned, electricity generated, operating expenses, power plant usage patterns and emissions. Unfortunately, much of this data is not released in well documented, ready-to-use, machine readable formats. Data from different agencies tends not to be standardized or easily used in tandem. Several commercial data services clean, package, and re-sell this this data, but at prices which are too high to be accessible to many smaller stakeholders.

The Public Utility Data Liberation (PUDL) project takes information that’s already publicly available, and makes it publicly usable, by cleaning, standardizing, and cross-linking utility data from different sources in a single database. Thus far our primary focus has been on fuel use, generation, operating costs, and operation history. It currently includes data from:

• EIA Form 860: 2001-2022
• EIA Form 860m: 2023-09
• EIA Form 861: 2001-2022
• EIA Form 923: 2001-2022
• EPA Continuous Emissions Monitoring System (CEMS): 1995-2022
• FERC Form 1: 1994-2021
• FERC Form 714: 2006-2020
• US Census Demographic Profile 1 Geodatabase: 2010

We archive snapshots of the raw inputs on Zenodo and all our data processing uses those snapshots as a starting place for reproducibility.

You can find the source code that generates this database in the PUDL repository on GitHub. The PUDL project is coordinated by Catalyst Cooperative.

The data is updated nightly by our automated nightly builds. When they are successful, new data is uploaded to the AWS Open Data Registry

We publish PUDL Data Dictionaries on Read the Docs which provide more descriptive information about the data.

Dataset header image courtesy of Gerry Machen via Flickr under a CC-BY-ND license

The Utility Energy Registry (UER) is a database platform that provides streamlined public access to aggregated community-scale utility-reported 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. The order requires utilities 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 collected under a data protocol in effect between 2016 and 2021. Other UER datasets include energy use data reported at the county and ZIP code level. Data collected after 2021 were collected according to a modified protocol. Those data may be found at https://data.ny.gov/Energy-Environment/Utility-Energy-Registry-Monthly-Community-Energy-U/4txm-py4p. 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 accelerate economic growth. 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.

Utility Data Lake Platform Market Outlook

According to our latest research, the global Utility Data Lake Platform market size reached USD 2.48 billion in 2024 and is expected to grow at a robust CAGR of 21.7% during the forecast period, reaching approximately USD 17.2 billion by 2033. This remarkable growth is primarily driven by the increasing adoption of digital transformation initiatives across utility sectors, the proliferation of smart metering infrastructure, and the urgent need for real-time analytics to optimize utility operations and regulatory compliance.

One of the core growth factors for the Utility Data Lake Platform market is the exponential rise in data generation from advanced metering infrastructure, IoT devices, and smart grid deployments. Utilities are increasingly leveraging data lakes to store and analyze massive volumes of structured and unstructured data from diverse sources, including smart meters, sensors, and customer management systems. The ability of data lake platforms to provide scalable, cost-effective, and flexible data storage solutions allows utilities to break down data silos and derive actionable insights for predictive maintenance, demand forecasting, and asset optimization. As the utility sector continues to embrace digitalization, the demand for robust data lake platforms is set to surge, enabling utilities to enhance operational efficiency and customer experience.

Furthermore, regulatory mandates and the growing emphasis on sustainability are fueling the adoption of Utility Data Lake Platforms. Governments and regulatory bodies worldwide are imposing strict requirements for data transparency, reporting, and compliance, especially concerning environmental impact, energy efficiency, and grid reliability. Data lake platforms empower utilities to efficiently aggregate, manage, and analyze compliance-related data, streamlining regulatory reporting and supporting sustainability initiatives. Additionally, the integration of advanced analytics, artificial intelligence, and machine learning within data lake platforms is enabling utilities to identify inefficiencies, reduce energy losses, and support the transition to renewable energy sources, further accelerating market growth.

Another significant driver of market expansion is the increasing focus on customer-centric utility services. Utilities are harnessing the power of data lakes to gain a 360-degree view of customer behavior, preferences, and consumption patterns. By leveraging advanced analytics, utilities can tailor their offerings, implement dynamic pricing models, and provide personalized energy-saving recommendations, thereby enhancing customer satisfaction and loyalty. The ability to process and analyze vast amounts of customer data in real time is becoming a critical differentiator for utilities, especially in competitive markets where customer retention and engagement are paramount. This trend is expected to continue, propelling the demand for advanced data lake solutions across the utility sector.

From a regional perspective, North America currently leads the Utility Data Lake Platform market, driven by widespread smart grid adoption, significant investments in utility digitalization, and a mature regulatory landscape. However, Asia Pacific is poised to witness the fastest growth during the forecast period, fueled by rapid urbanization, expanding utility infrastructure, and increasing government initiatives to modernize energy and water utilities. Europe also holds a substantial market share, supported by stringent energy efficiency directives and the growing integration of renewable energy sources. The Middle East & Africa and Latin America are emerging markets, with increasing investments in smart utility projects and digital transformation initiatives expected to drive future growth.

Component Analysis

The Utility Data Lake Platform market by component is segmented into Software, Hardware, and Services. The software segment dominates the market, accounting for the largest share in 2024, due to the critical role of data management, analytics, and integration tools in utility operations. Data lake software platforms are designed to ingest, store, process, and analyze massive volumes of structured and unstructured data from disparate sources, enabling utilities to unlock the full potential of their data assets. The growing adoption of AI-driven analytics, real-time data processing, and self-service business i

Utility Data Mesh Platform Market Outlook

According to our latest research, the global Utility Data Mesh Platform market size reached USD 1.12 billion in 2024, driven by the increasing adoption of digital transformation initiatives across utility sectors. The market is expected to grow at a robust CAGR of 18.9% from 2025 to 2033, reaching a forecasted value of USD 6.32 billion by 2033. The primary growth factors fueling this expansion include the rising need for real-time data analytics, enhanced grid management, and the integration of distributed energy resources, all of which are propelling utilities to adopt advanced data mesh platforms for improved operational efficiency and decision-making.

One of the most significant drivers of the Utility Data Mesh Platform market is the escalating volume and complexity of data generated by modern utility operations. Utilities are increasingly deploying smart meters, IoT sensors, and distributed energy resources, all of which contribute to the exponential growth of data. Traditional data management architectures are struggling to keep pace with the need for real-time access, analytics, and actionable insights. Data mesh platforms offer a decentralized approach, enabling domain-oriented teams to own, manage, and serve data as a product. This paradigm shift is helping utilities break data silos, accelerate digital transformation, and improve agility in responding to dynamic market changes and regulatory requirements.

Another key growth factor is the urgent need for enhanced grid management and reliability in the face of evolving energy landscapes. The proliferation of renewable energy sources, electric vehicles, and distributed generation is increasing grid complexity, making it essential for utilities to have advanced analytics and data sharing capabilities. Utility Data Mesh Platforms facilitate seamless data integration across disparate systems and departments, supporting predictive maintenance, outage management, and load forecasting. These capabilities are crucial for maintaining grid stability, reducing operational costs, and meeting sustainability goals, which are top priorities for utilities worldwide.

Furthermore, regulatory pressures and the demand for customer-centric services are pushing utilities to modernize their IT infrastructure. Compliance with evolving energy regulations, data privacy laws, and environmental standards requires utilities to have transparent, auditable, and easily accessible data. Data mesh platforms provide the necessary tools for robust data governance, lineage, and security, enabling utilities to ensure compliance while delivering personalized services to customers. The ability to rapidly adapt to regulatory changes and customer expectations is becoming a competitive differentiator in the utility industry, further boosting the adoption of Utility Data Mesh Platforms.

From a regional perspective, North America and Europe are leading the adoption of Utility Data Mesh Platforms, driven by advanced digital infrastructure, stringent regulatory frameworks, and a high concentration of innovative utility companies. Asia Pacific is emerging as a high-growth market, fueled by rapid urbanization, increasing investments in smart grids, and government initiatives to modernize utility operations. Latin America and the Middle East & Africa are also witnessing gradual adoption, supported by expanding utility networks and the need for improved operational efficiency. Each region presents unique challenges and opportunities, shaping the overall trajectory of the global market.

Component Analysis

The Component segment of the Utility Data Mesh Platform Market is bifurcated into Software and Services, each playing a critical role in shaping the market landscape. Software solutions form the backbone of data mesh platforms, providing the necessary infrastructure for data discovery, cataloging, security, and analytics. These platforms are designed to be highly scalable and interoperable, enabling utilities t

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/).

These districts are used to identify service areas for Power Companies.

Utility Data Lake Platform Market Outlook

As per our latest research, the global Utility Data Lake Platform market size reached USD 2.14 billion in 2024, demonstrating robust momentum in the digital transformation of the utility sector. The market is expected to witness a healthy compound annual growth rate (CAGR) of 21.7% from 2025 to 2033, which will drive the market to an estimated USD 15.12 billion by 2033. This significant growth is primarily fueled by the increasing demand for advanced data analytics, real-time operational insights, and the proliferation of smart grid technologies across global utility networks.

The primary growth driver for the Utility Data Lake Platform market is the escalating adoption of digital technologies within the utility sector. Utilities are under pressure to modernize their infrastructure in response to evolving regulatory mandates, the integration of renewable energy sources, and the need to deliver enhanced customer experiences. Data lake platforms provide a centralized repository for storing structured and unstructured data, empowering utilities to perform advanced analytics for predictive maintenance, grid optimization, and demand forecasting. The ability to aggregate massive volumes of data from IoT sensors, smart meters, and legacy systems is transforming how utilities operate, enabling them to make data-driven decisions and improve overall efficiency.

Another significant factor contributing to market growth is the rising focus on energy efficiency and sustainability. Governments and regulatory bodies across the globe are setting ambitious targets for carbon reduction and renewable energy adoption, compelling utilities to invest in technologies that support real-time monitoring, load balancing, and outage management. Utility Data Lake Platforms play a pivotal role in facilitating these initiatives by providing scalable data architectures that can handle the complexity and volume of modern utility data streams. The platforms enable seamless data integration, ensuring that utilities can comply with regulatory requirements, optimize asset utilization, and proactively address operational challenges.

Furthermore, advancements in artificial intelligence (AI) and machine learning (ML) are amplifying the value proposition of Utility Data Lake Platforms. By leveraging AI and ML algorithms, utilities can unlock actionable insights from historical and real-time data, automate routine processes, and enhance predictive analytics capabilities. This technological evolution is not only improving operational reliability but also creating new revenue streams through data-driven services. As the utility sector continues to embrace digital innovation, the demand for scalable, secure, and flexible data lake solutions is expected to surge, cementing the marketÂ’s upward trajectory.

The emergence of the Utility Data Mesh Platform is revolutionizing the way utilities manage and analyze their data. Unlike traditional data lake architectures, a data mesh approach decentralizes data ownership and governance, empowering individual teams to manage their data as a product. This paradigm shift enables utilities to achieve greater agility and scalability, as each team can independently develop and deploy data solutions tailored to their specific needs. The Utility Data Mesh Platform facilitates seamless data sharing and collaboration across the organization, breaking down silos and enhancing data democratization. By adopting this innovative approach, utilities can accelerate their digital transformation journeys, improve data quality, and drive more informed decision-making across their operations.

From a regional perspective, North America currently dominates the Utility Data Lake Platform market, accounting for the largest revenue share in 2024. This leadership is attributed to the early adoption of smart grid technologies, high investment in grid modernization, and well-established utility infrastructure. Europe is also witnessing substantial growth, driven by stringent regulatory frameworks and aggressive renewable energy targets. Meanwhile, the Asia Pacific region is emerging as a high-growth market, fueled by rapid urbanization, increasing energy demand, and government-led digitalization initiatives. Each region presents unique opportunities and challenges, shaping the

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.

PUDL v2025.2.0 Data Release

This is our regular quarterly release for 2025Q1. It includes updates to all the datasets that are published with quarterly or higher frequency, plus initial verisons of a few new data sources that have been in the works for a while.

One major change this quarter is that we are now publishing all processed PUDL data as Apache Parquet files, alongside our existing SQLite databases. See Data Access for more on how to access these outputs.

Some potentially breaking changes to be aware of:

In the EIA Form 930 – Hourly and Daily Balancing Authority Operations Report a number of new energy sources have been added, and some old energy sources have been split into more granular categories. See Changes in energy source granularity over time.

We are now running the EPA’s CAMD to EIA unit crosswalk code for each individual year starting from 2018, rather than just 2018 and 2021, resulting in more connections between these two datasets and changes to some sub-plant IDs. See the note below for more details.

Many thanks to the organizations who make these regular updates possible! Especially GridLab, RMI, and the ZERO Lab at Princeton University. If you rely on PUDL and would like to help ensure that the data keeps flowing, please consider joining them as a PUDL Sustainer, as we are still fundraising for 2025.

New Data

EIA 176

Add a couple of semi-transformed interim EIA-176 (natural gas sources and dispositions) tables. They aren’t yet being written to the database, but are one step closer. See #3555 and PRs #3590, #3978. Thanks to @davidmudrauskas for moving this dataset forward.

Extracted these interim tables up through the latest 2023 data release. See #4002 and #4004.

EIA 860

Added EIA 860 Multifuel table. See #3438 and #3946.

FERC 1

Added three new output tables containing granular utility accounting data. See #4057, #3642 and the table descriptions in the data dictionary:

out_ferc1_yearly_detailed_income_statements

out_ferc1_yearly_detailed_balance_sheet_assets

out_ferc1_yearly_detailed_balance_sheet_liabilities

SEC Form 10-K Parent-Subsidiary Ownership

We have added some new tables describing the parent-subsidiary company ownership relationships reported in the SEC’s Form 10-K, Exhibit 21 “Subsidiaries of the Registrant”. Where possible these tables link the SEC filers or their subsidiary companies to the corresponding EIA utilities. This work was funded by a grant from the Mozilla Foundation. Most of the ML models and data preparation took place in the mozilla-sec-eia repository separate from the main PUDL ETL, as it requires processing hundreds of thousands of PDFs and the deployment of some ML experiment tracking infrastructure. The new tables are handed off as nearly finished products to the PUDL ETL pipeline. Note that these are preliminary, experimental data products and are known to be incomplete and to contain errors. Extracting data tables from unstructured PDFs and the SEC to EIA record linkage are necessarily probabalistic processes.

See PRs #4026, #4031, #4035, #4046, #4048, #4050 and check out the table descriptions in the PUDL data dictionary:

out_sec10k_parents_and_subsidiaries

core_sec10k_quarterly_filings

core_sec10k_quarterly_exhibit_21_company_ownership

core_sec10k_quarterly_company_information

Expanded Data Coverage

EPA CEMS

Added 2024 Q4 of CEMS data. See #4041 and #4052.

EPA CAMD EIA Crosswalk

In the past, the crosswalk in PUDL has used the EPA’s published crosswalk (run with 2018 data), and an additional crosswalk we ran with 2021 EIA 860 data. To ensure that the crosswalk reflects updates in both EIA and EPA data, we re-ran the EPA R code which generates the EPA CAMD EIA crosswalk with 4 new years of data: 2019, 2020, 2022 and 2023. Re-running the crosswalk pulls the latest data from the CAMD FACT API, which results in some changes to the generator and unit IDs reported on the EPA side of the crosswalk, which feeds into the creation of core_epa_assn_eia_epacamd.

The changes only result in the addition of new units and generators in the EPA data, with no changes to matches at the plant level. However, the updates to generator and unit IDs have resulted in changes to the subplant IDs - some EIA boilers and generators which previously had no matches to EPA data have now been matched to EPA unit data, resulting in an overall reduction in the number of rows in the core_epa_assn_eia_epacamd_subplant_ids table. See issues #4039 and PR #4056 for a discussion of the changes observed in the course of this update.

EIA 860M

Added EIA 860m through December 2024. See #4038 and #4047.

EIA 923

Added EIA 923 monthly data through September 2024. See #4038 and #4047.

EIA Bulk Electricity Data

Updated the EIA Bulk Electricity data to include data published up through 2024-11-01. See #4042 and PR #4051.

EIA 930

Updated the EIA 930 data to include data published up through the beginning of February 2025. See #4040 and PR #4054. 10 new energy sources were added and 3 were retired; see Changes in energy source granularity over time for more information.

Bug Fixes

Fix an accidentally swapped set of starting balance / ending balance column rename parameters in the pre-2021 DBF derived data that feeds into core_ferc1_yearly_other_regulatory_liabilities_sched278. See issue #3952 and PRs #3969, #3979. Thanks to @yolandazzz13 for making this fix.

Added preliminary data validation checks for several FERC 1 tables that were missing it #3860.

Fix spelling of Lake Huron and Lake Saint Clair in out_vcerare_hourly_available_capacity_factor and related tables. See issue #4007 and PR #4029.

Quality of Life Improvements

We added a sources parameter to pudl.metadata.classes.DataSource.from_id() in order to make it possible to use the pudl-archiver repository to archive datasets that won’t necessarily be ingested into PUDL. See this PUDL archiver issue and PRs #4003 and #4013.

Other PUDL v2025.2.0 Resources

PUDL v2025.2.0 Data Dictionary

PUDL v2025.2.0 Documentation

PUDL in the AWS Open Data Registry

PUDL v2025.2.0 in a free, public AWS S3 bucket: s3://pudl.catalyst.coop/v2025.2.0/

PUDL v2025.2.0 in a requester-pays GCS bucket: gs://pudl.catalyst.coop/v2025.2.0/

Zenodo archive of the PUDL GitHub repo for this release

PUDL v2025.2.0 release on GitHub

PUDL v2025.2.0 package in the Python Package Index (PyPI)

Contact Us

If you're using PUDL, we would love to hear from you! Even if it's just a note to let us know that you exist, and how you're using the software or data. Here's a bunch of different ways to get in touch:

Follow us on GitHub

Use the PUDL Github issue tracker to let us know about any bugs or data issues you encounter

GitHub Discussions is where we provide user support.

Watch our GitHub Project to see what we're working on.

Email us at hello@catalyst.coop for private communications.

On Mastodon: @CatalystCoop@mastodon.energy

On BlueSky: @catalyst.coop

On Twitter: @CatalystCoop

Connect with us on LinkedIn

Play with our data and notebooks on Kaggle

Combine our data with ML models on HuggingFace

Learn more about us on our website: https://catalyst.coop

Subscribe to our announcements list for email updates.

This spreadsheet contains information reported by over 200 investor-owned utilities to the Federal Energy Regulatory Commission in the annual filing FERC Form 1 for the years 1994-2019. It contains 1) annual capital costs for new transmission, distribution, and administrative infrastructure; 2) annual operation and maintenance costs for transmission, distribution, and utility business administration; 3) total annual MWh sales and sales by customer class; 4) annual peak demand in MW; and 5) total customer count and the number of customers by class.

Annual spending on new capital infrastructure is read from pages 204 to 207 of FERC Form 1, titled Electric Plant in Service. Annual transmission capital additions are recorded from Line 58, Column C - Total Transmission Plant Additions. Likewise, annual distribution capital additions are recorded from Line 75, Column C - Total Distribution Plant Additions. Administrative capital additions are recorded from Line 5, Column C - Total Intangible Plant Additions, and Line 99, Column C - Total General Plant Additions.

Operation and maintenance costs associated with transmission, distribution, and utility administration are read from pages 320 to 323 of FERC Form 1, titled Electric Operation and Maintenance Expenses. Annual transmission operation and maintenance are recorded from Line 99, Column B - Total Transmission Operation Expenses for Current Year, and Line 111, Column B - Total Transmission Maintenance Expenses for Current Year. Likewise, annual distribution operation and maintenance costs are recorded from Line 144, Column B - Total Distribution Operation Expenses, and Line 155, Column B - Total Distribution Maintenance Expenses. Administrative operation and maintenance costs are recorded from: Line 164, Column B - Total Customers Accounts Expenses; Line 171, Column B - Total Customer Service and Information Expenses; Line 178, Column B - Total Sales Expenses; and Line 197, Column B - Total Administrative and General Expenses.

The annual peak demand in MW over the year is read from page 401, titled Monthly Peaks and Output. The monthly peak demand is listed in Lines 29 to 40, Column D. The maximum of these monthly reports during each year is taken as the annual peak demand in MW. The annual energy sales and customer count data come from page 300, Electric Operating Revenues. The values are provided in Line 2 - Residential Sales, Line 4 - Commercial Sales, Line 5 - Industrial Sales, and Line 10 - Total Sales to Ultimate Consumers.

More information about the database is available in an associated report published by the University of Texas at Austin Energy Institute: https://live-energy-institute.pantheonsite.io/sites/default/files/UTAustin_FCe_TDA_2016.pdf

Also see an associated paper published in the journal Energy Policy:

Fares, Robert L., and Carey W. King. "Trends in transmission, distribution, and administration costs for US investor-owned electric utilities." Energy Policy 105 (2017): 354-362. https://doi.org/10.1016/j.enpol.2017.02.036

All data come from the Federal Energy Regulatory Commission FERC Form 1 Database available in Microsoft Visual FoxPro Format: https://www.ferc.gov/docs-filing/forms/form-1/data.asp

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. 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 by utilities at the county level. Other UER datasets include energy use data reported at the city, town, and village, 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.

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.

Open APIs for Utility Data Sharing Market Outlook

According to our latest research, the Global Open APIs for Utility Data Sharing market size was valued at $2.3 billion in 2024 and is projected to reach $9.7 billion by 2033, expanding at a robust CAGR of 17.2% during 2024–2033. The primary driver propelling this remarkable growth is the accelerating digital transformation across the utilities sector, which is demanding seamless, secure, and standardized data exchange between utility providers, third-party service providers, and end-users. Open APIs (Application Programming Interfaces) are now regarded as foundational to enabling real-time data sharing, integration of smart grid technologies, and fostering innovative customer-centric solutions. As regulatory bodies worldwide push for greater transparency and interoperability, the adoption of open APIs is rapidly becoming a strategic imperative for utilities aiming to enhance operational efficiency, customer engagement, and regulatory compliance.

Regional Outlook

North America currently commands the largest share of the Open APIs for Utility Data Sharing market, accounting for approximately 38% of global revenue in 2024. This dominance is primarily attributed to the region's mature utility infrastructure, early adoption of advanced IT solutions, and progressive regulatory mandates such as the Green Button initiative in the United States and Canada. Utilities in North America are leveraging open APIs to streamline billing, facilitate energy management, and support distributed energy resource integration. The presence of major technology vendors and a vibrant ecosystem of third-party developers further accelerates innovation and deployment. Furthermore, strong policy support for grid modernization and data transparency is fostering a fertile environment for open API adoption, setting a global benchmark for best practices in the utility sector.

Asia Pacific is poised to be the fastest-growing region in the Open APIs for Utility Data Sharing market, with a projected CAGR of 21.5% from 2024 to 2033. The region’s rapid urbanization, burgeoning energy demand, and ambitious smart city initiatives are driving utilities to modernize their infrastructure and digitize operations. Countries such as China, Japan, South Korea, and India are witnessing significant investments in cloud-based platforms and IoT-enabled smart grids, where open APIs are central to enabling interoperability and real-time analytics. Government-led reforms aimed at improving energy efficiency and consumer empowerment are further catalyzing adoption. The influx of venture capital, combined with a growing pool of technology startups, is fostering a highly dynamic and competitive market landscape in Asia Pacific.

Emerging economies in Latin America, the Middle East, and Africa are gradually embracing open APIs for utility data sharing, albeit at a slower pace compared to developed regions. Key challenges include legacy infrastructure, limited digital literacy, and regulatory uncertainties, which can impede swift adoption. However, localized demand for improved billing accuracy, enhanced customer engagement, and regulatory compliance is prompting utilities to pilot open API solutions. Regional governments are increasingly recognizing the value of open data standards in driving energy access and sustainability goals. As these markets address infrastructure and policy gaps, they represent significant long-term growth opportunities for vendors and service providers specializing in scalable, adaptable open API platforms.

Report Scope

All Employees: Transportation and Utilities: Utilities in Michigan was 19.50000 Thous. of Persons in March of 2025, according to the United States Federal Reserve. Historically, All Employees: Transportation and Utilities: Utilities in Michigan reached a record high of 22.00000 in July of 2022 and a record low of 19.00000 in October of 2012. Trading Economics provides the current actual value, an historical data chart and related indicators for All Employees: Transportation and Utilities: Utilities in Michigan - last updated from the United States Federal Reserve on November of 2025.

Open APIs for Utility Data Sharing Market Outlook

According to our latest research, the global market size for Open APIs for Utility Data Sharing reached USD 1.58 billion in 2024, with a robust CAGR of 17.2% expected through the forecast period. By 2033, the market is projected to achieve a value of USD 6.16 billion, driven by increasing digital transformation initiatives and regulatory mandates for data transparency across utility sectors worldwide. The accelerated adoption of smart grid technologies and the proliferation of connected devices are key growth factors fueling the expansion of this market, as utilities increasingly leverage open APIs to enhance interoperability, streamline operations, and offer innovative customer-centric services.

A primary growth driver for the Open APIs for Utility Data Sharing market is the global push toward digitalization within the utility sector. Utility companies are under pressure to modernize legacy infrastructure and adopt digital solutions that can improve operational efficiency, customer engagement, and regulatory compliance. Open APIs enable seamless data exchange between disparate systems, allowing utilities to integrate advanced analytics, real-time monitoring, and automation into their operations. This digital transformation is further accelerated by the proliferation of Internet of Things (IoT) devices, smart meters, and distributed energy resources, all of which require secure and standardized data sharing mechanisms to function effectively. As a result, utilities are increasingly investing in API-driven platforms to enable interoperability and unlock new business models.

Another significant growth factor is the evolving regulatory landscape, particularly in regions like North America and Europe, where governments and regulatory bodies are mandating greater data transparency and consumer empowerment. Open APIs play a pivotal role in supporting regulatory compliance by facilitating secure and standardized access to utility data for both customers and third-party service providers. This regulatory push is fostering a competitive ecosystem where innovation thrives, as new entrants and established players alike can leverage shared data to develop value-added services such as personalized energy management tools, dynamic pricing models, and sustainability reporting solutions. The ability of open APIs to support compliance with data privacy and security standards further enhances their adoption across the utility sector.

The increasing demand for enhanced customer experiences is also propelling the Open APIs for Utility Data Sharing market. Utilities are recognizing the importance of engaging customers through digital channels, offering real-time insights into energy consumption, billing, and sustainability efforts. Open APIs enable seamless integration with customer-facing applications, empowering consumers to make informed decisions about their energy usage and participate in demand response programs. This customer-centric approach not only drives loyalty but also opens up new revenue streams for utilities through the provision of innovative digital services. The synergy between open APIs and emerging technologies such as artificial intelligence and machine learning further amplifies the potential for personalized and predictive utility services.

From a regional perspective, North America currently leads the market, accounting for the largest share in 2024, followed closely by Europe and Asia Pacific. The rapid deployment of smart grid infrastructure, supportive regulatory frameworks, and high levels of digital maturity among utility providers have positioned these regions at the forefront of open API adoption. However, Asia Pacific is expected to witness the fastest growth over the forecast period, driven by increasing urbanization, government initiatives to modernize utility networks, and rising investments in smart city projects. Latin America and the Middle East & Africa are also emerging as promising markets, supported by ongoing infrastructure development and a growing focus on sustainable utility management.

Utility Data Mesh Platform Market Outlook

According to our latest research, the global Utility Data Mesh Platform market size reached USD 1.58 billion in 2024. The market is projected to expand at a robust CAGR of 21.4% from 2025 to 2033, reaching an estimated value of USD 11.18 billion by 2033. This remarkable growth is primarily driven by the increasing need for real-time data integration, advanced analytics, and decentralized data architecture across utility sectors, enabling organizations to optimize grid management, enhance customer experience, and ensure regulatory compliance.

Several key factors are fueling the expansion of the Utility Data Mesh Platform market. First and foremost, the rapid digital transformation within the utility sector is compelling organizations to adopt modern data architectures. Utilities are generating vast amounts of data from smart meters, IoT devices, and distributed energy resources, making traditional centralized data management approaches inefficient and costly. The adoption of data mesh platforms enables decentralized data ownership, empowering domain teams to manage, access, and analyze data more efficiently. This shift not only accelerates decision-making but also improves data quality and governance, which are critical for grid reliability and operational efficiency.

Another significant growth driver is the increasing regulatory pressure for transparency, data security, and sustainability reporting. Governments and regulatory bodies across the globe are mandating utilities to provide granular data on energy consumption, emissions, and grid performance. Utility Data Mesh Platforms offer advanced data lineage, access control, and auditing capabilities, helping utilities maintain compliance with evolving regulations. Furthermore, the rise of distributed energy resources and the integration of renewable energy sources are creating complex data ecosystems that require agile, scalable, and interoperable data management solutions, further boosting the demand for data mesh platforms.

The market is also benefiting from advancements in artificial intelligence, machine learning, and cloud computing. Utility Data Mesh Platforms leverage these technologies to deliver predictive analytics, automate asset maintenance, and optimize energy trading strategies. The proliferation of cloud-based deployment models provides utilities with scalable, cost-effective solutions that can be rapidly deployed and integrated with existing IT infrastructure. Additionally, the growing emphasis on customer-centricity is prompting utilities to harness data mesh platforms for personalized customer analytics, demand forecasting, and tailored product offerings, thereby enhancing customer satisfaction and loyalty.

From a regional perspective, North America currently dominates the Utility Data Mesh Platform market, followed closely by Europe and Asia Pacific. The high adoption rate in North America is attributed to substantial investments in smart grid infrastructure, advanced metering, and digital transformation initiatives by major utility companies. Europe is witnessing significant growth due to stringent regulatory frameworks and ambitious decarbonization targets, while Asia Pacific is emerging as a lucrative market driven by rapid urbanization, expanding utility networks, and increasing investments in digital technologies. Latin America and the Middle East & Africa are also expected to exhibit steady growth as utilities in these regions modernize their operations and embrace data-driven strategies.

Component Analysis

The Utility Data Mesh Platform market is segmented by component into software and services, each playing a pivotal role in driving market growth. The software segment encompasses platforms that facilitate data discovery, data cataloging, data governance, and real-time analytics. These solutions are designed to integrate seamlessly with existing utility IT ecosystems, providing robust APIs, data connectors, and user-friendly interfaces. As utilities increasingly prioritize interoperability and scalability, the demand for advanced software solutions is surging. Vendors are continuously enhancing their platforms with AI-powered analytics, automated data pipelines, and intuitive dashboards, enabling utilities to derive actionable insights from diverse data sources and optimize operational performance.

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Utility Data Platform Market Outlook

According to our latest research, the global utility data platform market size reached USD 3.92 billion in 2024, reflecting robust adoption across utilities worldwide. The market is set to expand at a CAGR of 11.4% from 2025 to 2033, with projections indicating a total market value of USD 10.59 billion by 2033. This growth trajectory is driven by increasing digitalization in the utility sector, the proliferation of IoT and smart metering infrastructure, and the rising need for advanced data analytics to optimize grid operations and enhance customer experiences.

A primary growth factor for the utility data platform market is the accelerating shift toward smart grids and digital utility infrastructure. As utilities modernize their networks, there is a pressing need to collect, process, and analyze vast volumes of data from smart meters, sensors, and distributed energy resources. Utility data platforms provide the backbone for integrating disparate data sources, enabling real-time analytics, predictive maintenance, and improved demand response capabilities. The push for grid resilience, renewable energy integration, and regulatory compliance further amplifies the necessity for robust data management solutions. Utilities are increasingly leveraging these platforms to streamline operations, reduce operational costs, and drive innovation in service delivery.

Another significant driver is the evolving landscape of customer engagement and regulatory requirements. With consumers demanding greater transparency, personalized services, and energy efficiency, utilities are compelled to adopt data-driven approaches to customer interaction. Utility data platforms empower organizations to segment customers, forecast usage patterns, and deliver targeted programs that enhance satisfaction and loyalty. Simultaneously, evolving regulations around data privacy, energy efficiency, and emissions reporting require utilities to maintain accurate, auditable records and provide timely reporting. The ability of utility data platforms to ensure compliance while enabling agile business processes is a key factor fueling their adoption across both developed and emerging markets.

The integration of advanced technologies such as artificial intelligence, machine learning, and edge computing is further propelling the utility data platform market forward. These technologies allow utilities to derive actionable insights from complex, high-velocity data streams, supporting applications such as anomaly detection, outage prediction, and distributed energy resource management. As utilities seek to transition from reactive to proactive operational models, the demand for scalable, intelligent data platforms is surging. Additionally, partnerships between technology providers and utility companies are fostering innovation, with cloud-based solutions offering flexibility, scalability, and cost efficiencies that are particularly attractive in today’s competitive landscape.

Regionally, North America leads the utility data platform market, supported by early adoption of smart grid technologies, significant investments in digital infrastructure, and a mature regulatory environment. Europe follows closely, driven by ambitious decarbonization targets and widespread deployment of smart meters. The Asia Pacific region is experiencing the fastest growth, fueled by rapid urbanization, expanding energy access, and government initiatives to modernize utility networks. Latin America and the Middle East & Africa are emerging markets, with increasing investments in grid modernization and digital transformation. Each region presents unique opportunities and challenges, shaping the evolution of the global utility data platform market.

Component Analysis

The utility data platform market is segmented by component into software, hardware, and services, each playing a critical role in enabling comprehensive data management and analytics for utilities. The software segment dominates the market, accounting for the largest revenue share in 2024, as utilities increasingly deploy advanced analytics, visualization, and integration tools to extract value from their data assets. Software platforms facilitate seamless data aggregation, real-time analytics, and workflow automation, empowering utilities to optimize grid operations, improve asset performance, and enhance customer engagement. The rise of cloud-native an