Republic Services stock price, live market quote, shares value, historical data, intraday chart, earnings per share and news.

International trade in services - historical data (2004-2013)

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Big Data Services Market Size 2025-2029

The big data services market size is forecast to increase by USD 604.2 billion, at a CAGR of 54.4% between 2024 and 2029.

The market is experiencing significant growth, driven by the increasing adoption of big data in various industries, particularly in blockchain technology. The ability to process and analyze vast amounts of data in real-time is revolutionizing business operations and decision-making processes. However, this market is not without challenges. One of the most pressing issues is the need to cater to diverse client requirements, each with unique data needs and expectations. This necessitates customized solutions and a deep understanding of various industries and their data requirements. Additionally, ensuring data security and privacy in an increasingly interconnected world poses a significant challenge. Companies must navigate these obstacles while maintaining compliance with regulations and adhering to ethical data handling practices. To capitalize on the opportunities presented by the market, organizations must focus on developing innovative solutions that address these challenges while delivering value to their clients. By staying abreast of industry trends and investing in advanced technologies, they can effectively meet client demands and differentiate themselves in a competitive landscape.

What will be the Size of the Big Data Services Market during the forecast period?

Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
Request Free SampleThe market continues to evolve, driven by the ever-increasing volume, velocity, and variety of data being generated across various sectors. Data extraction is a crucial component of this dynamic landscape, enabling entities to derive valuable insights from their data. Human resource management, for instance, benefits from data-driven decision making, operational efficiency, and data enrichment. Batch processing and data integration are essential for data warehousing and data pipeline management. Data governance and data federation ensure data accessibility, quality, and security. Data lineage and data monetization facilitate data sharing and collaboration, while data discovery and data mining uncover hidden patterns and trends. Real-time analytics and risk management provide operational agility and help mitigate potential threats. Machine learning and deep learning algorithms enable predictive analytics, enhancing business intelligence and customer insights. Data visualization and data transformation facilitate data usability and data loading into NoSQL databases. Government analytics, financial services analytics, supply chain optimization, and manufacturing analytics are just a few applications of big data services. Cloud computing and data streaming further expand the market's reach and capabilities. Data literacy and data collaboration are essential for effective data usage and collaboration. Data security and data cleansing are ongoing concerns, with the market continuously evolving to address these challenges. The integration of natural language processing, computer vision, and fraud detection further enhances the value proposition of big data services. The market's continuous dynamism underscores the importance of data cataloging, metadata management, and data modeling for effective data management and optimization.

How is this Big Data Services Industry segmented?

The big data services industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments. ComponentSolutionServicesEnd-userBFSITelecomRetailOthersTypeData storage and managementData analytics and visualizationConsulting servicesImplementation and integration servicesSupport and maintenance servicesSectorLarge enterprisesSmall and medium enterprises (SMEs)GeographyNorth AmericaUSMexicoEuropeFranceGermanyItalyUKMiddle East and AfricaUAEAPACAustraliaChinaIndiaJapanSouth KoreaSouth AmericaBrazilRest of World (ROW).

By Component Insights

The solution segment is estimated to witness significant growth during the forecast period.Big data services have become indispensable for businesses seeking operational efficiency and customer insight. The vast expanse of structured and unstructured data presents an opportunity for organizations to analyze consumer behaviors across multiple channels. Big data solutions facilitate the integration and processing of data from various sources, enabling businesses to gain a deeper understanding of customer sentiment towards their products or services. Data governance ensures data quality and security, while data federation and data lineage provide transparency and traceability. Artificial intelligenc

Healthcare Services stock price, live market quote, shares value, historical data, intraday chart, earnings per share and news.

The National Forest Climate Change Maps project was developed by the Rocky Mountain Research Station (RMRS) and the Office of Sustainability and Climate to meet the needs of national forest managers for information on projected climate changes at a scale relevant to decision making processes, including forest plans. The maps use state-of-the-art science and are available for every national forest in the contiguous United States with relevant data coverage. Currently, the map sets include variables related to precipitation, air temperature, snow (including snow residence time and April 1 snow water equivalent), and stream flow.

Snow residence time (in days) and April 1 snow water equivalent (in mm) were modeled using the spatial analog models of Luce et al., 2014 (https://agupubs.onlinelibrary.wiley.com/doi/full/10.1002/2013WR014844); see also Lute and Luce, 2017 (https://agupubs.onlinelibrary.wiley.com/doi/full/10.1002/2017WR020752). These models are built on precipitation and snow data from Snowpack Telemetry (SNOTEL) stations across the western United States and temperature data from the TopoWx dataset (https://rmets.onlinelibrary.wiley.com/doi/10.1002/joc.4127).

Raster data are also available for download from RMRS site (https://www.fs.usda.gov/rm/boise/AWAE/projects/NFS-regional-climate-change-maps/categories/us-raster-layers.html), along with pdf maps and detailed metadata (https://www.fs.usda.gov/rm/boise/AWAE/projects/NFS-regional-climate-change-maps/downloads/NationalForestClimateChangeMapsMetadata.pdf).

This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.

Operating-Income Time Series for Capitalonline Data Service Co Ltd. Capitalonline Data Service Co., Ltd. provides cloud hosts and related services in China, the Americas, Europe, and the Asia Pacific. It offers cloud computing, artificial intelligence, and other products and services. The company also provides cloud and network integrated products, including elastic computing, global network, IDC services, data processing, and security, as well as storage, AWS cloud, database, safety, and big data and enterprise applications. In addition, it offers solutions, such as cloud connectivity, gaming, migration, and XR; e-commerce; mobile apps; online video; real estate; MaaS; digital twin; online education; CDS intelligent dispatch management platform; online games; and internet finance. The company provides its services to digital twins, artificial intelligence, industrial Internet, Internet of Vehicles, big data, education, finance, video, e-commerce, games, medical care, government, and other industries. The company was founded in 2005 and is headquartered in Beijing, China.

What are the different Scholars Portal data services and how to use them.

The IvyDB Signed Volume dataset, available as an add-on product for IvyDB US, contains daily data on detailed option trading volume. Trades in the IvyDB US dataset are assigned as either buyer-initiated or seller-initiated based on the trade price and the bid-ask quote at the time of the trade. The total assigned daily volume is aggregated and updated nightly.

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Data-as-a-Service Market Size 2025-2029

The data-as-a-service market size is forecast to increase by USD 40.76 billion, at a CAGR of 32.6% between 2024 and 2029.

The market is experiencing significant growth due to the increasing volume of data being generated daily. One trend driving market expansion is the integration of DaaS in blockchain technology, which ensures data security and transparency. Additionally, adhering to diverse client requirements is another growth factor. 
The market is expected to witness continued growth as businesses seek efficient and cost-effective ways to manage and utilize their data. Furthermore, the ability to access real-time, actionable insights from data is becoming increasingly valuable, making DaaS an essential component of modern business strategies.

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

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The market represents a significant segment of the cloud technology ecosystem, characterized by its ability to deliver on-demand, scalable, and flexible data provisioning solutions. DaaS enables businesses to access and consume data from various sources in a cost-efficient manner, fueling data-driven decision-making and digital transformation initiatives. This market's growth is driven by the increasing adoption of cloud deployment models, particularly In the public cloud segment, and the integration of advanced technologies such as artificial intelligence (AI) and machine learning. Small and medium-sized enterprises (SMEs) and large corporations across verticals, including healthcare, finance, e-commerce, and customer resource management, are increasingly relying on DaaS to meet their analytical needs and ensure business agility and competitiveness.
Security requirements remain a critical consideration, with DaaS providers implementing strong security measures to protect sensitive data. The market's size and direction reflect the growing importance of data in driving business success. As businesses continue to prioritize digital transformation, the demand for scalable, flexible, and cost-effective data solutions will continue to rise. Additionally, the integration of AI and ML technologies into DaaS offerings will further enhance their value proposition, enabling more sophisticated data analysis and insights.

How is this Data-as-a-Service Industry segmented and which is the largest segment?

The DaaS industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

End-user

  BFSI
  Retail
  Telecom
  Others


Deployment

  Cloud
  On-premises


Sector

  Large enterprises
  SMEs


Geography

  North America

    Canada
    US


  Europe

    Germany
    UK
    France
    Italy


  APAC

    China
    India
    Japan


  South America

    Brazil


  Middle East and Africa

By End-user Insights

The BFSI segment is estimated to witness significant growth during the forecast period.

Data-as-a-Service (DaaS) has emerged as a crucial component in various industries' digital transformation initiatives. In the finance sector, DaaS is increasingly being adopted for trading, fund management, and risk control models. The growing volume, variety, and complexity of data necessitate advanced analytics capabilities. Financial services organizations are undergoing digital transformation, necessitating the evaluation of technology's impact and customer response to streamline operations. The financial industry experiences massive data growth due to increasing financial transactions. In the healthcare sector, DaaS enables real-time data analysis for disease outbreak prediction and patient care improvement.

In e-commerce, DaaS powers personalized recommendations and inventory management. Scalability, flexibility, and cost-efficiency are key benefits of cloud-based DaaS. Public cloud DaaS deployment models offer access to advanced technology ecosystems, including AI and machine learning, enabling data-driven decision-making. Security requirements are paramount, especially in verticals like healthcare and finance. DaaS integrates seamlessly with CRM, ERP, and other business systems, enhancing business agility and competitiveness for small and medium-sized enterprises. IoT and Device-as-a-Service further expand DaaS applications, enabling data-driven strategies and real-time business process optimization.

Get a glance at the DaaS Industry report of share of various segments. Request Free Sample

The BFSI segment was valued at USD 2.53 billion in 2019 and showed a gradual increase during the forecast period.

Regional Analysis

North America is estimated to contribute 36% to the growth of the global DaaS market during the forecast period.

Technavio's analysts have elab

Hartford Financial Services stock price, live market quote, shares value, historical data, intraday chart, earnings per share and news.

Goodwill Time Series for Capitalonline Data Service Co Ltd. Capitalonline Data Service Co., Ltd. provides cloud hosts and related services in China, the Americas, Europe, and the Asia Pacific. It offers cloud computing, artificial intelligence, and other products and services. The company also provides cloud and network integrated products, including elastic computing, global network, IDC services, data processing, and security, as well as storage, AWS cloud, database, safety, and big data and enterprise applications. In addition, it offers solutions, such as cloud connectivity, gaming, migration, and XR; e-commerce; mobile apps; online video; real estate; MaaS; digital twin; online education; CDS intelligent dispatch management platform; online games; and internet finance. The company provides its services to digital twins, artificial intelligence, industrial Internet, Internet of Vehicles, big data, education, finance, video, e-commerce, games, medical care, government, and other industries. The company was founded in 2005 and is headquartered in Beijing, China.

This data set provides complete historical reconstruction of meteorological conditions favourable to the start, spread and sustainability of fires. The fire danger metrics provided are part of a vast dataset produced by the Copernicus Emergency Management Service for the European Forest Fire Information System (EFFIS). The European Forest Fire Information System incorporates the fire danger indices for three different models developed in Canada, United States and Australia. In this dataset the fire danger indices are calculated using weather forecast from historical simulations provided by ECMWF ERA5 reanalysis. ERA5 by combining model data and a vast set of quality controlled observations provides a globally complete and consistent data-set and is regarded as a good proxy for observed atmospheric conditions. The selected data records in this data set are regularly extended with time as ERA5 forcing data become available. This dataset is produced by ECMWF in its role of the computational centre for fire danger forecast of the CEMS, on behalf of the Joint Research Centre which is the managing entity of the service.

Cash-and-Equivalents Time Series for Capitalonline Data Service Co Ltd. Capitalonline Data Service Co., Ltd. provides cloud hosts and related services in China, the Americas, Europe, and the Asia Pacific. It offers cloud computing, artificial intelligence, and other products and services. The company also provides cloud and network integrated products, including elastic computing, global network, IDC services, data processing, and security, as well as storage, AWS cloud, database, safety, and big data and enterprise applications. In addition, it offers solutions, such as cloud connectivity, gaming, migration, and XR; e-commerce; mobile apps; online video; real estate; MaaS; digital twin; online education; CDS intelligent dispatch management platform; online games; and internet finance. The company provides its services to digital twins, artificial intelligence, industrial Internet, Internet of Vehicles, big data, education, finance, video, e-commerce, games, medical care, government, and other industries. The company was founded in 2005 and is headquartered in Beijing, China.

The Economic Indicator Service (EIS) aims to deliver economic content to financial institutions on both buy and sell-side and service providers. This new service currently covers 34,351 recurring macro-economic indicators from 135 countries ( as of December 16, 2019 ) such as GDP data, unemployment releases, PMI numbers etc.

Economic Indicator Service gathers the major economic events from a variety of regions and countries around the globe and provides an Economic Events Data feed and Economic Calendar service to our clients. This service includes all previous historic data on economic indicators that are currently available on the database.

Depending on availability, information regarding economic indicators, including the details of the issuing agency as well as historical data series can be made accessible for the client. Key information about EIS: • Cloud-based service for Live Calendar – delivered via HTML/JavaScript application formats, which can then be embedded onto any website using iFrames • Alternatives methods available – such as API and JSON feed for the economic calendar that can be integrated into the company’s system • Live data – updated 24/5, immediately after the data has been released • Historical data – includes a feed of all previous economic indicators available We are currently adding additional indicators/countries from Africa as well as expanding our coverage of Indicators in G20. The calendar includes the following. • Recurring & Non-recurring indicators covering 136 countries across 21 regions. • Indicators showing high, medium, and low impact data. • Indicators showing actual, previous, and forecast data. • Indicators can be filtered across 16 subtypes. • News generation for selected high-impact data. • Indicator description and historical data up to the latest eight historical points with a chart.

Information Services stock price, live market quote, shares value, historical data, intraday chart, earnings per share and news.

The Worldwide Fixed Income (WFI) Service enables you to keep track of new bond issues or changes in terms and conditions for both corporate and government issuances. Data is sourced globally from stock exchanges, central banks, ministries of finance, lead managers, paying, calculation and transfer agents.

The fixed income data service cover 40 event types including redemption, conversion, defaults and contains static data outlining key terms and conditions and call schedules. EDI can provide you with pricing supplements, offering circulars, term sheets and prospectuses for as many securities as possible subject to availability. It covers approximately 30% of the Fixed Income database. Use cases: Bond Issuance Tracking | Portfolio Risk Management | Portfolio Valuation | Investment Management | Market Analysis

With the service you will have access to: -International debt securities in more than 150 countries A broad range of asset types including: -Convertibles -FRNs -Permanent interest bearing shares -Preferred securities -Treasury bills In addition, where possible we can extend both instruments and geographic coverage to fully cover your portfolio.

Originally in the equity space, Exchange Data International (EDI) moved to the Fixed Income arena following an increased demand from clients to add debt instruments to its coverage. As the firm was approached by a major credit rating agency to build a customised fixed income service, it developed its own Fixed Income service providing global coverage of the debt market. New countries and sources are continually researched and added to enhance geographic coverage and increase the volume of securities in the database. The service provides historical data back from 2007.

Asset Classes Fully covered: • Canadian strip packages without underlying • Cash management bills • Certificate of deposit (tenure more than 28 days) • Commercial papers (tenure more than 28 days) • Convertibles • Corporate bonds • Government bonds • Municipal securities • Short-term corporate Bonds • Short-term government Bonds • Strips (parent needed) • Treasury bills

Covered if in portfolio: • Asset-backed securities (ABS) (securities entered with critical fields and just covered for live • client’s portfolio and Canada; offering documents processed for live clients; corporate actions not maintained) • Certificates (just covered for live client’s portfolio) • Mortgage-backed securities (MBS) (securities entered with critical fields and just covered for live client’s portfolio and Canada, offering documents processed for live clients; corporate actions not maintained) • Musharaka Sukuks (securities entered with critical fields and just covered for live client’s Portfolio; offering documents processed for live clients; corporate actions not maintained) • Structured Products • Genussschein (AT, CH and DE) • Mortgage-pass through certificates • Pass-through certificates In addition, EDI provides a comprehensive global Fixed Income Corporate Action/Event service, to compliment the reference data, including security and issuer level events and distributions.

Interest-Expense Time Series for Capitalonline Data Service Co Ltd. Capitalonline Data Service Co., Ltd. provides cloud hosts and related services in China, the Americas, Europe, and the Asia Pacific. It offers cloud computing, artificial intelligence, and other products and services. The company also provides cloud and network integrated products, including elastic computing, global network, IDC services, data processing, and security, as well as storage, AWS cloud, database, safety, and big data and enterprise applications. In addition, it offers solutions, such as cloud connectivity, gaming, migration, and XR; e-commerce; mobile apps; online video; real estate; MaaS; digital twin; online education; CDS intelligent dispatch management platform; online games; and internet finance. The company provides its services to digital twins, artificial intelligence, industrial Internet, Internet of Vehicles, big data, education, finance, video, e-commerce, games, medical care, government, and other industries. The company was founded in 2005 and is headquartered in Beijing, China.

This link provides information and additional metadata related to the National Geospatial Data Center/World Data Service (NGDC/WDS) Global Historical Tsunami Database (2100 BC to present). A direct tabular download of tsunami source events is available at: https://www.ngdc.noaa.gov/nndc/struts/results?type_0=Exact&query_0=$ID&t=101650&s=69&d=59&dfn=tsevent.txt.A direct tabular download of tsunami effects locations is available at: https://www.ngdc.noaa.gov/nndc/struts/results?type_0=Exact&query_0=$ID&t=101650&s=71&d=86&dfn=tsrunup.txt