Records from operating a customer call center or service center providing services to the public. Services may address a wide variety of topics such as understanding agency mission-specific functions or how to resolve technical difficulties with external-facing systems or programs. Includes:rn- incoming requests and responsesrn- trouble tickets and tracking logs rn- recordings of call center phone conversations with customers used for quality control and customer service trainingrn- system data, including customer ticket numbers and visit tracking rn- evaluations and feedback about customer servicesrn- information about customer services, such as “Frequently Asked Questions” (FAQs) and user guidesrn- reports generated from customer management datarn- complaints and commendation records; customer feedback and satisfaction surveys, including survey instruments, data, background materials, and reports.

Uncover Market Research Intellect's latest Database Platform As A Service Dbpaas Solutions Market Report, valued at USD 10.5 billion in 2024, expected to rise to USD 27.8 billion by 2033 at a CAGR of 14.5% from 2026 to 2033.

Provides transit agency-wide totals for service data for applicable agencies reporting to the National Transit Database in the 2022 and 2023 report years. This view is based off of the "2022 - 2023 NTD Annual Data - Service (by Mode and Time Period)" dataset, which displays the same data at a lower level of aggregation. This view displays the data at a higher level (by agency).

NTD Data Tables organize and summarize data from the 2022 and 2023 National Transit Database in a manner that is more useful for quick reference and summary analysis. The parent dataset is based on the 2022 and 2023 Service database files.

In years 2015-2021, you can find this data in the "Service" data table on NTD Program website, at https://transit.dot.gov/ntd/ntd-data.

In versions of the data tables from before 2014, you can find data on service in the file called "Transit Operating Statistics: Service Supplied and Consumed."

If you have any other questions about this table, please contact the NTD Help Desk at NTDHelp@dot.gov.

The Cloud Managed Database Service market report offers a thorough competitive analysis, mapping key players’ strategies, market share, and business models. It provides insights into competitor dynamics, helping companies align their strategies with the current market landscape and future trends.

Data Entry Service Market Outlook

The global data entry service market size is poised to experience significant growth, with the market expected to rise from USD 2.5 billion in 2023 to USD 4.8 billion by 2032, achieving a Compound Annual Growth Rate (CAGR) of 7.5% over the forecast period. This growth can be attributed to several factors including the increasing adoption of digital technologies, the rising demand for data accuracy and integrity, and the need for businesses to manage vast amounts of data efficiently.

One of the key growth factors driving the data entry service market is the rapid digital transformation across various industries. As businesses continue to digitize their operations, the volume of data generated has increased exponentially. This data needs to be accurately entered, processed, and managed to derive meaningful insights. The demand for data entry services has surged as companies seek to outsource these non-core activities, enabling them to focus on their primary business operations. Additionally, the widespread adoption of cloud-based solutions and big data analytics has further fueled the demand for efficient data management services.

Another significant driver of market growth is the increasing need for data accuracy and integrity. Inaccurate or incomplete data can lead to poor decision-making, financial losses, and a decrease in operational efficiency. Organizations are increasingly recognizing the importance of maintaining high-quality data and are investing in data entry services to ensure that their databases are accurate, up-to-date, and reliable. This is particularly crucial for industries such as healthcare, BFSI, and retail, where precise data is essential for regulatory compliance, customer relationship management, and operational efficiency.

The cost-effectiveness of outsourcing data entry services is also contributing to market growth. By outsourcing these tasks to specialized service providers, organizations can save on labor costs, reduce operational expenses, and improve productivity. Service providers often have access to advanced tools and technologies, as well as skilled professionals who can perform data entry tasks more efficiently and accurately. This not only leads to cost savings but also allows businesses to reallocate resources to more strategic activities, driving overall growth.

From a regional perspective, the Asia Pacific region is expected to witness the highest growth in the data entry service market during the forecast period. This can be attributed to the region's strong IT infrastructure, the presence of numerous outsourcing service providers, and the growing adoption of digital technologies across various industries. North America and Europe are also significant markets, driven by the high demand for data management services in sectors such as healthcare, BFSI, and retail. The Middle East & Africa and Latin America are anticipated to experience steady growth, supported by increasing investments in digital infrastructure and the rising awareness of the benefits of data entry services.

Service Type Analysis

The data entry service market can be segmented into various service types, including online data entry, offline data entry, data processing, data conversion, data cleansing, and others. Each of these service types plays a crucial role in ensuring the accuracy, integrity, and usability of data. Online data entry services involve entering data directly into an online system or database, which is essential for real-time data management and accessibility. This service type is particularly popular in industries such as e-commerce, where timely and accurate data entry is critical for inventory management and customer service.

Offline data entry services, on the other hand, involve entering data into offline systems or databases, which are later synchronized with online systems. This service type is often used in industries where internet connectivity may be unreliable or where data security is a primary concern. Offline data entry is also essential for processing historical data or data that is collected through physical forms and documents. The demand for offline data entry services is driven by the need for accurate and timely data entry in sectors such as manufacturing, government, and healthcare.

Data processing services involve the manipulation, transformation, and analysis of raw data to produce meaningful information. This includes tasks such as data validation, data sorting, data aggregation, and data analysis. Data processing is a critical componen

Note: This dataset was deprecated effective April 30, 2025. Please refer to the Calls for Service (Consolidated) dataset for current data and access to historical records, including prior reporting years.Archive of Calls for Service data from 2012 to 2019 provided as a single source. Staging for sub-layers for specified time periods.

Comprehensive dataset of 29 Home help service agencies in Turkey as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

Data Subscription Service Market Outlook

The global data subscription service market size was valued at approximately USD 45 billion in 2023 and is expected to reach about USD 120 billion by 2032, growing at a compound annual growth rate (CAGR) of 11.5% during the forecast period. This impressive growth is driven by the increasing reliance on data-driven decision-making across various industries. Businesses and individuals are increasingly subscribing to data services to gain insights, optimize operations, and drive innovation, which in turn fuels market expansion.

Several factors contribute to the robust growth of the data subscription service market. First, the exponential increase in data generation and the need for real-time analytics are primary drivers. In today’s digital age, vast amounts of data are generated every second through various channels such as social media, IoT devices, and e-commerce platforms. Organizations require sophisticated data services to analyze and interpret this data, drawing actionable insights that can enhance their business strategies, optimize operations, and improve customer experiences. Therefore, the demand for data subscription services is soaring, leading to significant market expansion.

Second, the growing adoption of artificial intelligence (AI) and machine learning (ML) technologies is a pivotal growth factor. Data subscription services are integral to the functioning of AI and ML systems as they provide the necessary data inputs for training and refining algorithms. As these technologies become more prevalent across industries such as healthcare, finance, and retail, the reliance on high-quality data services increases. Companies are investing more in data subscription services to harness the full potential of AI and ML, thereby driving market growth.

Third, the rise of remote work and digital transformation initiatives has further augmented the demand for data subscription services. With the shift towards remote and hybrid work models, organizations are increasingly leveraging cloud-based data services to ensure seamless access to vital information regardless of location. Additionally, digital transformation efforts are pushing companies to modernize their data infrastructure, thereby increasing the uptake of subscription-based data services. These trends are expected to continue, contributing significantly to the growth of the market.

Regionally, North America holds the lion’s share of the market, driven by the early adoption of advanced technologies and a strong presence of key industry players. The region's technological infrastructure and focus on innovation make it a fertile ground for the proliferation of data subscription services. However, the Asia Pacific region is projected to witness the highest growth rate, fueled by rapid digitalization, increasing internet penetration, and growing investments in AI and ML technologies. European markets are also notable, with a strong emphasis on regulatory compliance and data privacy driving the adoption of sophisticated data management solutions.

Type Analysis

The data subscription service market can be segmented by type into individual and corporate subscriptions. Individual subscriptions are generally tailored for personal use, providing users with access to specific datasets, market reports, or analytics tools that assist in personal projects, research, or small business operations. As digital literacy increases and more consumers become data-savvy, the demand for individual data subscription services is on the rise. These services are often more affordable and offer flexible payment options, making them accessible to a broader audience.

On the other hand, corporate subscriptions command a significant share of the market due to their comprehensive service offerings and value propositions tailored for businesses. Corporate subscriptions often include access to a vast array of datasets, advanced analytics tools, and dedicated support services. These subscriptions are critical for enterprises looking to enhance their data-driven decision-making processes, optimize operations, and gain a competitive edge. The complexity and volume of data required by corporations necessitate robust data subscription services, driving significant market demand in this segment.

A notable trend in the corporate segment is the increasing preference for customized data solutions. Businesses are seeking subscription services that can be tailored to their unique needs and industry-specific requirements. This customization trend is prompting servi

Database containing personal details of all staff at the Prison Service and National Offender Management Service. Such as name, age, address and bank account details. Also includes performance ratings and professional accreditation markings where applicable.

R code and data for a landscape scan of data services at academic libraries. Original data is licensed CC By 4.0, data obtained from other sources is licensed according to the original licensing terms. R scripts are licensed under the BSD 3-clause license. Summary This work generally focuses on four questions:

Which research data services does an academic library provide? For a subset of those services, what form does the support come in? i.e. consulting, instruction, or web resources? Are there differences in support between three categories of services: data management, geospatial, and data science? How does library resourcing (i.e. salaries) affect the number of research data services?

Approach Using direct survey of web resources, we investigated the services offered at 25 Research 1 universities in the United States of America. Please refer to the included README.md files for more information.

For inquiries regarding the contents of this dataset, please contact the Corresponding Author listed in the README.txt file. Administrative inquiries (e.g., removal requests, trouble downloading, etc.) can be directed to data-management@arizona.edu

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Big Data as a Service Market Size 2024-2028

The big data as a service market size is forecast to increase by USD 41.20 billion at a CAGR of 28.45% between 2023 and 2028.

The market is experiencing significant growth due to the increasing volume of data and the rising demand for advanced data insights. Machine learning algorithms and artificial intelligence are driving product quality and innovation in this sector. Hybrid cloud solutions are gaining popularity, offering the benefits of both private and public cloud platforms for optimal data storage and scalability. Industry standards for data privacy and security are increasingly important, as large amounts of data pose unique risks. The BDaaS market is expected to continue its expansion, providing valuable data insights to businesses across various industries.

What will be the Big Data as a Service Market Size During the Forecast Period?

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Big Data as a Service (BDaaS) has emerged as a game-changer in the business world, enabling organizations to harness the power of big data without the need for extensive infrastructure and expertise. This service model offers various components such as data management, analytics, and visualization tools, enabling businesses to derive valuable insights from their data. BDaaS encompasses several key components that drive market growth. These include Business Intelligence (BI), Data Science, Data Quality, and Data Security. BI provides organizations with the ability to analyze data and gain insights to make informed decisions.



Data Science, on the other hand, focuses on extracting meaningful patterns and trends from large datasets using advanced algorithms. Data Quality is a critical component of BDaaS, ensuring that the data being analyzed is accurate, complete, and consistent. Data Security is another essential aspect, safeguarding sensitive data from cybersecurity threats and data breaches. Moreover, BDaaS offers various data pipelines, enabling seamless data integration and data lifecycle management. Network Analysis, Real-time Analytics, and Predictive Analytics are other essential components, providing businesses with actionable insights in real-time and enabling them to anticipate future trends. Data Mining, Machine Learning Algorithms, and Data Visualization Tools are other essential components of BDaaS.

How is this market segmented and which is the largest segment?

The market research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.

Type

  Data analytics-as-a-Service
  Hadoop-as-a-service
  Data-as-a-service


Deployment

  Public cloud
  Hybrid cloud
  Private cloud


Geography

  North America

    Canada
    US


  APAC

    China


  Europe

    Germany
    UK


  South America



  Middle East and Africa

By Type Insights

The data analytics-as-a-service segment is estimated to witness significant growth during the forecast period.

Big Data as a Service (BDaaS) is a significant market segment, highlighted by the availability of Hadoop-as-a-Service solutions. These offerings enable businesses to access essential datasets on-demand without the burden of expensive infrastructure. DAaaS solutions facilitate real-time data analysis, empowering organizations to make informed decisions. The DAaaS landscape is expanding rapidly as companies acknowledge its value in enhancing internal data. Integrating DAaaS with big data systems amplifies analytics capabilities, creating a vibrant market landscape. Organizations can leverage diverse datasets to gain a competitive edge, driving the growth of the global BDaaS market. In the context of digital transformation, cloud computing, IoT, and 5G technologies, BDaaS solutions offer optimal resource utilization.

However, regulatory scrutiny poses challenges, necessitating stringent data security measures. Retail and other industries stand to benefit significantly from BDaaS, particularly with distributed computing solutions. DAaaS adoption is a strategic investment for businesses seeking to capitalize on the power of external data for valuable insights.

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The Data analytics-as-a-Service segment was valued at USD 2.59 billion in 2018 and showed a gradual increase during the forecast period.

Regional Analysis

North America is estimated to contribute 35% to the growth of the global market during the forecast period.

Technavio's analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period.

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Big Data as a Service Market analysis, North America is experiencing signif

Strategic insights are the cornerstone of success in the home and professional services landscape. dataplor’s Global Home & Professional Services Database unlocks a comprehensive view of top global and regional providers, empowering your business with the tools to thrive.

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• Investment Strategy: Identify high-growth areas with increasing demand for specific services, guiding investment decisions for properties.

Data Center Management Service Market Outlook

The global data center management service market size is expected to reach $25.3 billion by 2032, growing from $12.1 billion in 2023, with a compound annual growth rate (CAGR) of 8.1% during the forecast period. This robust growth is driven by increasing digital transformation initiatives across sectors, the rapid adoption of cloud services, and the need for enhanced data security and operational efficiency.

The primary growth factor for the data center management service market is the escalating demand for data storage and management due to the surge in digital data generation. The proliferation of IoT devices, the rise of big data analytics, and the increasing need for real-time data processing are pushing enterprises to invest in advanced data center management services. Additionally, the exponential growth of e-commerce, social media, and digital banking is contributing significantly to the demand for efficient data center operations, thus fueling market growth.

Another crucial driver is the increased focus on energy efficiency and sustainability in data center operations. With data centers consuming substantial amounts of energy, there is a growing emphasis on optimizing power usage and cooling systems to reduce operational costs and environmental impact. Data center management services help organizations implement energy-efficient technologies and practices, thereby supporting sustainability goals. This focus on green initiatives is expected to continue driving the adoption of advanced data center management solutions.

Furthermore, the evolving landscape of cybersecurity threats is propelling the market forward. As cyber-attacks become more sophisticated, ensuring robust security measures within data centers is paramount. Data center management services offer comprehensive security solutions, including threat detection, risk management, and compliance support, helping organizations safeguard their critical assets. The increasing regulatory requirements for data protection and privacy are also pushing businesses to seek reliable data center management services to maintain compliance and avoid penalties.

In the context of this growing market, Data Center Solution providers are playing a pivotal role in enabling businesses to achieve their digital transformation goals. These solutions encompass a wide range of services and technologies designed to enhance the efficiency, reliability, and scalability of data centers. By integrating advanced hardware and software components, data center solutions help organizations optimize their IT infrastructure, reduce operational costs, and improve overall performance. As businesses increasingly rely on data-driven insights to make strategic decisions, the demand for comprehensive data center solutions is expected to rise, driving further innovation and growth in the market.

From a regional outlook, North America is expected to dominate the data center management service market, driven by the presence of major technology companies and a highly developed IT infrastructure. The Asia Pacific region is anticipated to witness the highest growth rate due to rapid digitalization, increasing investment in data center infrastructure, and rising adoption of cloud services in countries like China and India. Europe is also a significant market, with a strong focus on data privacy regulations and sustainability initiatives. Latin America and the Middle East & Africa are gradually emerging, with increasing investments in data center projects and growing demand for digital services.

Service Type Analysis

The data center management service market is segmented by service type into consulting, integration, maintenance, and managed services, each playing a crucial role in ensuring the effective operation and optimization of data centers. Consulting services are vital for organizations looking to design, implement, and optimize their data center strategies. These services provide expert guidance on infrastructure planning, energy management, security protocols, and compliance requirements, helping businesses make informed decisions and achieve their operational goals.

Integration services are essential for the seamless incorporation of various technologies and systems within a data center. These services ensure that hardware, software, and network components work together efficiently, enabling smooth data flow and operational coherence.

The Water Quality Portal (WQP) is a cooperative service sponsored by the United States Geological Survey (USGS), the Environmental Protection Agency (EPA), and the National Water Quality Monitoring Council (NWQMC). It serves data collected by over 400 state, federal, tribal, and local agencies. Water quality data can be downloaded in Excel, CSV, TSV, and KML formats. Fourteen site types are found in the WQP: aggregate groundwater use, aggregate surface water use, atmosphere, estuary, facility, glacier, lake, land, ocean, spring, stream, subsurface, well, and wetland. Water quality characteristic groups include physical conditions, chemical and bacteriological water analyses, chemical analyses of fish tissue, taxon abundance data, toxicity data, habitat assessment scores, and biological index scores, among others. Within these groups, thousands of water quality variables registered in the EPA Substance Registry Service (https://iaspub.epa.gov/sor_internet/registry/substreg/home/overview/home.do) and the Integrated Taxonomic Information System (https://www.itis.gov/) are represented. Across all site types, physical characteristics (e.g., temperature and water level) are the most common water quality result type in the system. The Water Quality Exchange data model (WQX; http://www.exchangenetwork.net/data-exchange/wqx/), initially developed by the Environmental Information Exchange Network, was adapted by EPA to support submission of water quality records to the EPA STORET Data Warehouse [USEPA, 2016], and has subsequently become the standard data model for the WQP. Contributing organizations: ACWI The Advisory Committee on Water Information (ACWI) represents the interests of water information users and professionals in advising the federal government on federal water information programs and their effectiveness in meeting the nation's water information needs. ARS The Agricultural Research Service (ARS) is the U.S. Department of Agriculture's chief in-house scientific research agency, whose job is finding solutions to agricultural problems that affect Americans every day, from field to table. ARS conducts research to develop and transfer solutions to agricultural problems of high national priority and provide information access and dissemination to, among other topics, enhance the natural resource base and the environment. Water quality data from STEWARDS, the primary database for the USDA/ARS Conservation Effects Assessment Project (CEAP) are ingested into WQP via a web service. EPA The Environmental Protection Agency (EPA) gathers and distributes water quality monitoring data collected by states, tribes, watershed groups, other federal agencies, volunteer groups, and universities through the Water Quality Exchange framework in the STORET Warehouse. NWQMC The National Water Quality Monitoring Council (NWQMC) provides a national forum for coordination of comparable and scientifically defensible methods and strategies to improve water quality monitoring, assessment, and reporting. It also promotes partnerships to foster collaboration, advance the science, and improve management within all elements of the water quality monitoring community. USGS The United States Geological Survey (USGS) investigates the occurrence, quantity, quality, distribution, and movement of surface waters and ground waters and disseminates the data to the public, state, and local governments, public and private utilities, and other federal agencies involved with managing the United States' water resources. Resources in this dataset:Resource Title: Website Pointer for Water Quality Portal. File Name: Web Page, url: https://www.waterqualitydata.us/ The Water Quality Portal (WQP) is a cooperative service sponsored by the United States Geological Survey (USGS), the Environmental Protection Agency (EPA), and the National Water Quality Monitoring Council (NWQMC). It serves data collected by over 400 state, federal, tribal, and local agencies. Links to Download Data, User Guide, Contributing Organizations, National coverage by state.

Graph and download economic data for Other Services (Except Public Administration) Wages and Salaries in Illinois (ILWOTH) from Q1 1998 to Q1 2025 about administrative, public, IL, salaries, wages, services, and USA.

Venue for research resource discovery offering resource providers a platform to advertise their services and products, as well as investigators a means to locate services for their use. Search results may be refined by resource type, research area or institution.

Data Storage Service Market Outlook

The global data storage service market size was estimated at USD 58.5 billion in 2023 and is projected to reach USD 138.2 billion by 2032, exhibiting a CAGR of 10.2% during the forecast period. This robust growth is driven by increasing digitalization and the exponential growth of data generated by enterprises and individuals alike. The market's expansion is further fueled by the growing need for scalable, secure, and efficient data storage solutions across various industries.

One of the primary growth factors for the data storage service market is the rapid proliferation of data from numerous sources, including IoT devices, social media, and enterprise applications. This burgeoning data volume necessitates advanced storage solutions that can handle large datasets while ensuring data integrity and accessibility. Additionally, the growing adoption of cloud computing has significantly contributed to market growth, as cloud storage offers scalable and cost-effective solutions for data management.

Another key driver is the increasing reliance on data analytics and artificial intelligence (AI) technologies. Organizations are leveraging data analytics to gain actionable insights and make informed decisions, necessitating efficient data storage and management solutions. Similarly, AI and machine learning applications require vast amounts of data to train algorithms, further bolstering the demand for advanced storage solutions. Additionally, regulatory requirements and data protection laws are compelling organizations to invest in reliable data storage services to ensure compliance and safeguard sensitive information.

The advent of hybrid cloud solutions is also playing a pivotal role in the market's growth. Hybrid storage solutions, which combine the benefits of on-premises and cloud storage, offer flexibility, security, and cost efficiency. This approach allows organizations to store critical data on-premises while utilizing cloud storage for less sensitive information, thus optimizing storage costs and enhancing data accessibility. Moreover, technological advancements in storage solutions, such as solid-state drives (SSDs) and storage area networks (SANs), are further propelling market growth.

In the realm of data storage, Object Storage Service has emerged as a pivotal solution, particularly for managing unstructured data. Unlike traditional storage systems, object storage organizes data into flexible-sized containers, known as objects, which are stored in a flat address space. This architecture is highly scalable and allows for efficient data retrieval, making it ideal for cloud environments and big data applications. As organizations increasingly generate vast amounts of multimedia content, backups, and archives, the demand for object storage services continues to rise. This trend is further accelerated by the growing adoption of IoT devices, which produce large volumes of data that require robust storage solutions.

Regionally, North America holds a significant share of the data storage service market, driven by the presence of major technology companies and a high adoption rate of advanced technologies. However, Asia Pacific is expected to witness the highest growth rate during the forecast period, fueled by increasing digital transformation initiatives and the rising adoption of cloud services in emerging economies like China and India. Europe also presents substantial growth opportunities, supported by stringent data protection regulations and the growing demand for data storage solutions across various industries.

Service Type Analysis

The data storage service market can be segmented by service type into cloud storage, on-premises storage, and hybrid storage. Cloud storage is the fastest-growing segment, driven by the increasing adoption of cloud computing across industries. Organizations are leveraging cloud storage for its scalability, flexibility, and cost-effectiveness, which allows them to manage large volumes of data without investing in expensive on-premises infrastructure. Additionally, the shift towards remote work and the need for seamless data access have further accelerated the adoption of cloud storage solutions.

On-premises storage continues to hold a significant market share, particularly among industries dealing with sensitive data and stringent regulatory requirements. On-premises storage solutions offer enhanced security and control over

Global Data Destruction Service Market was valued at USD 7.08 billion in 2023 and is anticipated to project robust growth in the forecast period with a CAGR of 13.19% through 2029.

The CMDB (Configuration Management Database) Software Solutions market is experiencing robust growth, driven by the increasing need for IT organizations to gain comprehensive visibility and control over their complex IT infrastructure. The market's expansion is fueled by the rising adoption of cloud-based solutions, offering scalability, flexibility, and cost-effectiveness compared to on-premises deployments. Furthermore, the growing complexity of IT environments, coupled with the rise of hybrid and multi-cloud strategies, is compelling enterprises, both large and small, to implement CMDB solutions for improved service management, reduced downtime, and enhanced compliance. The market is segmented by enterprise size (SMEs and large enterprises) and deployment type (cloud-based and on-premises), with cloud-based solutions dominating the growth trajectory due to their inherent advantages. Key players like ServiceNow, Cherwell, and SolarWinds are actively shaping the market landscape through continuous innovation and strategic partnerships, fostering competition and driving further market penetration. The North American market currently holds a significant share, but regions like Asia-Pacific are exhibiting rapid growth potential, fueled by increasing digitalization and technological advancements. While data security concerns and the initial investment costs associated with CMDB implementation pose some challenges, the long-term benefits of improved IT efficiency and reduced operational costs outweigh these limitations, ensuring sustained market expansion. The forecast period (2025-2033) anticipates continued growth in the CMDB software market, primarily driven by the increasing adoption of DevOps practices and the need for enhanced automation in IT operations. The rise of AIOps (Artificial Intelligence for IT Operations) is also poised to significantly impact the market, integrating intelligent capabilities into CMDBs for proactive problem detection and resolution. This will further accelerate the shift toward cloud-based solutions due to their inherent scalability and adaptability to integrating advanced technologies. While the on-premises segment will retain a presence, particularly among organizations with stringent data security and regulatory compliance requirements, the market trend clearly points towards a dominance of cloud-based CMDB solutions. The competitive landscape will remain dynamic, with existing players focusing on enhancing their product offerings and new entrants aiming to disrupt the market with innovative solutions. Regional growth will continue to be uneven, with developed economies experiencing steady growth and emerging markets presenting significant untapped opportunities.

This downloadable data package consists of location and facility identification information from EPA's Facility Registry Service (FRS) for all sites that are available in the FRS individual feature layers. The layers comprise the FRS major program databases, including: Assessment Cleanup and Redevelopment Exchange System (ACRES) : brownfields sites ; Air Facility System (AFS) : stationary sources of air pollution ; ICIS-AIR (AIR) : stationary sources of air pollution; Bureau of Indian Affairs (BIA) : schools data on Indian land; Base Realignment and Closure (BRAC) facilities; Clean Air Markets Division Business System (CAMDBS) : market-based air pollution control programs; Comprehensive Environmental Response, Superfund Enterprise Management System (SEMS): hazardous waste sites; Integrated Compliance Information System (ICIS) : integrated enforcement and compliance information; National Compliance Database (NCDB) : Federal Insecticide, Fungicide, and Rodenticide Act (FIFRA) and the Toxic Substances Control Act (TSCA); National Pollutant Discharge Elimination System (NPDES) module of ICIS : NPDES surface water permits; Radiation Information Database (RADINFO) : radiation and radioactivity facilities; RACT/BACT/LAER Clearinghouse (RBLC) : best available air pollution technology requirements; Resource Conservation and Recovery Act Information System (RCRAInfo) : tracks generators, transporters, treaters, storers, and disposers of hazardous waste; Toxic Release Inventory (TRI) : certain industries that use, manufacture, treat, or transport more than 650 toxic chemicals; Emission Inventory System (EIS) : inventory of large stationary sources and voluntarily-reported smaller sources of air point pollution emitters; countermeasure (SPCC) and facility response plan (FRP) subject facilities; Electronic Greenhouse Gas Reporting Tool (E-GGRT) : large greenhouse gas emitters; Emissions and; Generation Resource Integrated Database (EGRID) : power plants. The Facility Registry Service (FRS) identifies and geospatially locates facilities, sites or places subject to environmental regulations or of environmental interest. Using vigorous verification and data management procedures, FRS integrates facility data from EPA's national program systems, other federal agencies, and State and tribal master facility records and provides EPA with a centrally managed, single source of comprehensive and authoritative information on facilities. This data set contains the FRS facilities that link to the programs listed above once the program data has been integrated into the FRS database. Additional information on FRS is available at the EPA website https://www.epa.gov/enviro/facility-registry-service-frs. Included in this package are a file geodatabase, Esri ArcMap map document and an XML file of this metadata record. Full FGDC metadata records for each layer are contained in the database.