100+ datasets found
  1. Data Broker Service Market Report | Global Forecast From 2025 To 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Oct 16, 2024
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    Dataintelo (2024). Data Broker Service Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/global-data-broker-service-market
    Explore at:
    pptx, pdf, csvAvailable download formats
    Dataset updated
    Oct 16, 2024
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Data Broker Service Market Outlook



    The global data broker service market size is projected to grow from USD 250 billion in 2023 to an estimated USD 450 billion by 2032, reflecting a compound annual growth rate (CAGR) of 6.7%. This substantial growth can be attributed to increasing digitalization, the exponential rise of data-driven decision-making across industries, and the growing realization of the value derived from data analytics. As businesses continue to recognize the potential of leveraging consumer, business, financial, and health data, the demand for data brokerage services is poised to expand significantly.



    One of the primary growth factors for the data broker service market is the increasing importance of data in driving business strategies and operations. Companies are increasingly relying on consumer and market data to gain insights into market trends, consumer behavior, and competitive landscapes. This surge in data utilization across sectors such as retail, healthcare, and finance is propelling the demand for data brokerage services that can provide accurate and comprehensive data sets. The proliferation of digital platforms and the Internet of Things (IoT) has further amplified the volume of data generated, thus boosting the need for efficient data brokerage services.



    Moreover, advancements in artificial intelligence (AI) and machine learning (ML) technologies are significantly contributing to the market's growth. These technologies enable enhanced data analysis, predictive analytics, and real-time decision-making, making data brokerage services more valuable. Businesses are increasingly investing in AI and ML to analyze large datasets more efficiently and extract actionable insights. Data brokers, in turn, are leveraging these technologies to offer more sophisticated and tailored data solutions, thus attracting a broader customer base.



    Privacy regulations and data protection laws are also playing a crucial role in shaping the data broker service market. While these regulations pose challenges, they also create opportunities for compliant data brokers to differentiate themselves in the market. Companies are more inclined to partner with data brokers that demonstrate robust data governance practices and adhere to regulatory requirements. This trend is driving the market towards more ethical and transparent data brokerage practices, increasing the trust and credibility of data brokers among businesses and consumers alike.



    The regional outlook for the data broker service market highlights North America as a dominant player, primarily due to the high adoption of data-driven strategies among businesses and the presence of major data brokerage firms. Europe follows closely, driven by stringent data protection regulations like GDPR, which necessitate secure and compliant data handling. The Asia Pacific region is expected to witness the fastest growth, fueled by the rapid digital transformation in countries like China and India and the increasing use of data analytics in various industries. Latin America and the Middle East & Africa regions are also showing promising growth, supported by the rising awareness of data's strategic value and increasing investments in data analytics infrastructure.



    Data Type Analysis



    The data broker service market by data type comprises consumer data, business data, financial data, health data, and other categories. Consumer data is one of the most significant segments within this market. This type of data includes information on consumer behavior, preferences, purchasing patterns, and demographics. Businesses leverage consumer data to tailor their marketing strategies, enhance customer experiences, and drive sales growth. The increasing use of digital platforms for shopping, social interaction, and information consumption is continually generating vast amounts of consumer data, thereby fueling the demand for consumer data brokerage services.



    Business data, encompassing company profiles, industry trends, and competitive intelligence, is another vital segment. Organizations require business data to strategize market entry, expansion, and competitive positioning. Data brokers play a crucial role in aggregating and providing actionable business insights that help companies navigate complex market dynamics. The rise of global trade, the need for cross-border business intelligence, and the growing importance of data-driven decision-making in corporate strategies are driving the demand for business data brokerage services.



    Financial data is crucial for sectors like banking, fina

  2. ScrapeHero Data Cloud - Free and Easy to use

    • datarade.ai
    .json, .csv
    Updated Apr 11, 2022
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    Scrapehero (2022). ScrapeHero Data Cloud - Free and Easy to use [Dataset]. https://datarade.ai/data-products/scrapehero-data-cloud-free-and-easy-to-use-scrapehero
    Explore at:
    .json, .csvAvailable download formats
    Dataset updated
    Apr 11, 2022
    Dataset provided by
    ScrapeHero
    Authors
    Scrapehero
    Area covered
    Bhutan, Bahamas, Ghana, Dominica, Niue, Portugal, Bahrain, Chad, Slovakia, Anguilla
    Description

    The Easiest Way to Collect Data from the Internet Download anything you see on the internet into spreadsheets within a few clicks using our ready-made web crawlers or a few lines of code using our APIs

    We have made it as simple as possible to collect data from websites

    Easy to Use Crawlers Amazon Product Details and Pricing Scraper Amazon Product Details and Pricing Scraper Get product information, pricing, FBA, best seller rank, and much more from Amazon.

    Google Maps Search Results Google Maps Search Results Get details like place name, phone number, address, website, ratings, and open hours from Google Maps or Google Places search results.

    Twitter Scraper Twitter Scraper Get tweets, Twitter handle, content, number of replies, number of retweets, and more. All you need to provide is a URL to a profile, hashtag, or an advance search URL from Twitter.

    Amazon Product Reviews and Ratings Amazon Product Reviews and Ratings Get customer reviews for any product on Amazon and get details like product name, brand, reviews and ratings, and more from Amazon.

    Google Reviews Scraper Google Reviews Scraper Scrape Google reviews and get details like business or location name, address, review, ratings, and more for business and places.

    Walmart Product Details & Pricing Walmart Product Details & Pricing Get the product name, pricing, number of ratings, reviews, product images, URL other product-related data from Walmart.

    Amazon Search Results Scraper Amazon Search Results Scraper Get product search rank, pricing, availability, best seller rank, and much more from Amazon.

    Amazon Best Sellers Amazon Best Sellers Get the bestseller rank, product name, pricing, number of ratings, rating, product images, and more from any Amazon Bestseller List.

    Google Search Scraper Google Search Scraper Scrape Google search results and get details like search rank, paid and organic results, knowledge graph, related search results, and more.

    Walmart Product Reviews & Ratings Walmart Product Reviews & Ratings Get customer reviews for any product on Walmart.com and get details like product name, brand, reviews, and ratings.

    Scrape Emails and Contact Details Scrape Emails and Contact Details Get emails, addresses, contact numbers, social media links from any website.

    Walmart Search Results Scraper Walmart Search Results Scraper Get Product details such as pricing, availability, reviews, ratings, and more from Walmart search results and categories.

    Glassdoor Job Listings Glassdoor Job Listings Scrape job details such as job title, salary, job description, location, company name, number of reviews, and ratings from Glassdoor.

    Indeed Job Listings Indeed Job Listings Scrape job details such as job title, salary, job description, location, company name, number of reviews, and ratings from Indeed.

    LinkedIn Jobs Scraper Premium LinkedIn Jobs Scraper Scrape job listings on LinkedIn and extract job details such as job title, job description, location, company name, number of reviews, and more.

    Redfin Scraper Premium Redfin Scraper Scrape real estate listings from Redfin. Extract property details such as address, price, mortgage, redfin estimate, broker name and more.

    Yelp Business Details Scraper Yelp Business Details Scraper Scrape business details from Yelp such as phone number, address, website, and more from Yelp search and business details page.

    Zillow Scraper Premium Zillow Scraper Scrape real estate listings from Zillow. Extract property details such as address, price, Broker, broker name and more.

    Amazon product offers and third party sellers Amazon product offers and third party sellers Get product pricing, delivery details, FBA, seller details, and much more from the Amazon offer listing page.

    Realtor Scraper Premium Realtor Scraper Scrape real estate listings from Realtor.com. Extract property details such as Address, Price, Area, Broker and more.

    Target Product Details & Pricing Target Product Details & Pricing Get product details from search results and category pages such as pricing, availability, rating, reviews, and 20+ data points from Target.

    Trulia Scraper Premium Trulia Scraper Scrape real estate listings from Trulia. Extract property details such as Address, Price, Area, Mortgage and more.

    Amazon Customer FAQs Amazon Customer FAQs Get FAQs for any product on Amazon and get details like the question, answer, answered user name, and more.

    Yellow Pages Scraper Yellow Pages Scraper Get details like business name, phone number, address, website, ratings, and more from Yellow Pages search results.

  3. Data Broker Services Market will grow at a CAGR of 8.00% from 2024 to 2031.

    • cognitivemarketresearch.com
    pdf,excel,csv,ppt
    Updated Mar 15, 2025
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    Cognitive Market Research (2025). Data Broker Services Market will grow at a CAGR of 8.00% from 2024 to 2031. [Dataset]. https://www.cognitivemarketresearch.com/data-broker-services-market-report
    Explore at:
    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    Mar 15, 2025
    Dataset authored and provided by
    Cognitive Market Research
    License

    https://www.cognitivemarketresearch.com/privacy-policyhttps://www.cognitivemarketresearch.com/privacy-policy

    Time period covered
    2021 - 2033
    Area covered
    Global
    Description

    According to Cognitive Market Research, the global Data Broker Services market size is USD 268154.2 million in 2024 and will expand at a compound annual growth rate (CAGR) of 8.00% from 2024 to 2031.

    North America held the major market of more than 40% of the global revenue with a market size of USD 107261.68 million in 2024 and will grow at a compound annual growth rate (CAGR) of 6.2% from 2024 to 2031.
    Europe accounted for a share of over 30% of the global market size of USD 80446.26 million.
    Asia Pacific held the market of around 23% of the global revenue with a market size of USD 61675.47 million in 2024 and will grow at a compound annual growth rate (CAGR) of 10.0% from 2024 to 2031.
    Latin America market of more than 5% of the global revenue with a market size of USD 13407.71 million in 2024 and will grow at a compound annual growth rate (CAGR) of 7.4% from 2024 to 2031.
    Middle East and Africa held the major market ofaround 2% of the global revenue with a market size of USD 5363.08 million in 2024 and will grow at a compound annual growth rate (CAGR) of 7.7% from 2024 to 2031.
    The Subscription Paid held the highest Data Broker Services market revenue share in 2024.
    

    Market Dynamics of Data Broker Services Market

    Key Drivers of Data Broker Services Market

    Increasing Demand for Personalized Marketing Solutions to boost the demand globally
    

    The Data Broker Services Market is being driven by the increasing demand for personalized marketing solutions. Companies across various industries are leveraging data broker services to access valuable consumer insights and enhance their marketing strategies. Data brokers offer a wide range of data sets, including demographic, behavioral, and transactional data, which can be used to create targeted marketing campaigns. By utilizing data broker services, companies can tailor their marketing messages to specific consumer segments, leading to higher engagement and conversion rates. This trend is expected to continue driving the growth of the Data Broker Services Market as businesses increasingly prioritize personalized marketing approaches to remain competitive in the digital age.

    Growing Focus on Data Monetization to Propel Market Growth
    

    Another key driver of the Data Broker Services Market is the growing focus on data monetization. Organizations are realizing the value of their data assets and are looking for ways to monetize them. Data broker services enable companies to sell their data to third parties, such as marketers, researchers, and other businesses, generating additional revenue streams. This trend is particularly prevalent in industries with large amounts of consumer data, such as retail, finance, and healthcare. By monetizing their data, companies can unlock new revenue opportunities and offset the costs associated with data collection and management. As the demand for data-driven insights continues to grow, the Data Broker Services Market is expected to expand, driven by the increasing number of organizations looking to capitalize on their data assets.

    Restraint Factors Of Data Broker Services Market

    Regulatory Challenges and Data Privacy Concerns to Limit the Sales
    

    One of the key restraints in the Data Broker Services Market is the increasing regulatory challenges and data privacy concerns. With the implementation of regulations such as the GDPR in Europe and the CCPA in California, data brokers are facing stricter requirements for data collection, processing, and sharing. Compliance with these regulations requires significant resources and can limit the ability of data brokers to collect and monetize data. Additionally, concerns about data privacy and security among consumers are leading to greater scrutiny of data broker practices, further complicating the operating environment for these companies. As regulatory pressures continue to increase, data brokers may face challenges in expanding their operations and maintaining profitability.

    Opportunity for the Data Broker Services Market

    The Data Broker Service Market is poised to benefit significantly from the integration of blockchain technology.
    

    By leveraging blockchain's decentralized and immutable nature, data brokers can ensure tamper-proof data exchange, enable secure data sharing, and provide auditable trails. This can increase trust and confidence in data exchange, driving growth in the data broker...

  4. D

    Data Broker Market Report

    • promarketreports.com
    doc, pdf, ppt
    Updated Dec 25, 2024
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    Pro Market Reports (2024). Data Broker Market Report [Dataset]. https://www.promarketreports.com/reports/data-broker-market-8534
    Explore at:
    pdf, ppt, docAvailable download formats
    Dataset updated
    Dec 25, 2024
    Dataset authored and provided by
    Pro Market Reports
    License

    https://www.promarketreports.com/privacy-policyhttps://www.promarketreports.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    Various types of data are offered by data brokers, categorized as structured, unstructured, and custom structure data. Structured data is highly organized and easy to analyze, while unstructured data requires additional processing to extract insights.Pricing models in the Data Broker Market vary, with subscription-based, pay-per-use, and hybrid models being prevalent. Subscription-based models offer a fixed monthly or annual fee for access to data, while pay-per-use models charge based on data usage. Recent developments include: October 2020: In 2020, ICICI declared the adoption of satellite data to evaluate the creditworthiness of farmers. Various sectors, including FMCG, Government, retail, and manufacturing, also leverage the services of data brokers., March 2023: In March 2023, Acxiom, a prominent customer intelligence company, revealed a partnership with Amazon Ads. This collaboration facilitates advertisers in seamlessly connecting with their target audience through Amazon DSP.

  5. S

    Active Real Estate Salespersons and Brokers

    • data.ny.gov
    • datadiscoverystudio.org
    • +3more
    application/rdfxml +5
    Updated Jul 13, 2025
    + more versions
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    New York State Department of State (DOS) (2025). Active Real Estate Salespersons and Brokers [Dataset]. https://data.ny.gov/Economic-Development/Active-Real-Estate-Salespersons-and-Brokers/yg7h-zjbf
    Explore at:
    tsv, csv, json, application/rdfxml, xml, application/rssxmlAvailable download formats
    Dataset updated
    Jul 13, 2025
    Dataset authored and provided by
    New York State Department of State (DOS)
    Description

    This data contains active Real Estate Salesperson and Broker Licenses from New York State Department of State (DOS). Each line will be either an individual or business licensee which holds business address and license number information. If the license type is an individual, the business name that the individual works for will be listed.

  6. d

    Broker Services

    • catalog.data.gov
    Updated May 6, 2025
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    Public Buildings Service (2025). Broker Services [Dataset]. https://catalog.data.gov/dataset/broker-services
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    Dataset updated
    May 6, 2025
    Dataset provided by
    Public Buildings Service
    Description

    The Center for Broker Services provides lease workload support services to GSA to create more efficient building space solutions by awarding and administering collections of multiple, zonal Indefinite Delivery/Indefinite Quantity (IDIQ) contracts that engage the services of commercial real estate brokers. Past contracts included National Broker Contracts (NBC), NBC2, and GSA Leasing Support Services (GLS). Our current contract, GLS Plus, emphasizes saving public funds, improving customer experience from requirements development through occupancy, and leveraging private-sector expertise. GLS Plus saves money with more efficient broker performance through extensive customer planning efforts, closer adherence to project schedules and costs, and providing continued opportunities for small businesses. We have increased the use of brokers under GLS Plus with enhanced pre- and post-award services and have integrated virtual market tours and analytical tools.

  7. d

    Company Information About Active Broker-Dealers

    • catalog.data.gov
    • datasets.ai
    • +1more
    Updated Jul 1, 2025
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    Agency-Wide (2025). Company Information About Active Broker-Dealers [Dataset]. https://catalog.data.gov/dataset/company-information-about-active-broker-dealers
    Explore at:
    Dataset updated
    Jul 1, 2025
    Dataset provided by
    Agency-Wide
    Description

    This text file contains the Central Index Key (CIK) numbers, company names, SEC reporting file numbers, and addresses (business addresses are provided when mailing addresses are not available) of active broker-dealers who are registered with the SEC.

  8. Trade Waste Broker Registrants

    • data.cityofnewyork.us
    • gimi9.com
    • +1more
    application/rdfxml +5
    Updated Jul 7, 2025
    + more versions
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    Business Integrity Commission (2025). Trade Waste Broker Registrants [Dataset]. https://data.cityofnewyork.us/widgets/krx7-u82t
    Explore at:
    tsv, xml, application/rdfxml, csv, json, application/rssxmlAvailable download formats
    Dataset updated
    Jul 7, 2025
    Dataset provided by
    New York City Business Integrity Commissionhttp://www.nyc.gov/bic
    Authors
    Business Integrity Commission
    Description

    Companies listed as of the most recent export date have been issued trade waste broker's registrations by the Business Integrity Commission. They are authorized to broker agreements between business customers and trade waste removal companies and/or to conduct evaluations of the customers' waste stream in order to recommend cost efficient means of waste disposal or other changes.

    This data is collected on the entities that apply with the commission to operate as Class 2 Brokers

    Each record represents an entity that is approved to operate in the City of New York by the Commission.

    The Application Type field denotes the class of application 'CL2-Broker' noting the type of applicant which is a Broker Registrant They are authorized to broker agreements between business customers and trade waste removal companies throughout the city.

    The BIC Number field is unique to every company that applies to the Commission.

  9. T

    Real Estate Agents And Brokers Directory Utah

    • opendata.utah.gov
    application/rdfxml +5
    Updated Sep 23, 2014
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    Utah Department of Commerce (2014). Real Estate Agents And Brokers Directory Utah [Dataset]. https://opendata.utah.gov/dataset/Real-Estate-Agents-And-Brokers-Directory-Utah/y5aq-ckub
    Explore at:
    csv, application/rssxml, json, xml, tsv, application/rdfxmlAvailable download formats
    Dataset updated
    Sep 23, 2014
    Dataset authored and provided by
    Utah Department of Commerce
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Area covered
    Utah
    Description

    Real Estate Agents And Brokers Directory Utah

  10. I

    Intermediary Data Traders Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated May 14, 2025
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    Data Insights Market (2025). Intermediary Data Traders Report [Dataset]. https://www.datainsightsmarket.com/reports/intermediary-data-traders-1391307
    Explore at:
    doc, ppt, pdfAvailable download formats
    Dataset updated
    May 14, 2025
    Dataset authored and provided by
    Data Insights Market
    License

    https://www.datainsightsmarket.com/privacy-policyhttps://www.datainsightsmarket.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The intermediary data trading market is experiencing robust growth, driven by the increasing volume and value of data generated across various sectors. The market's expansion is fueled by several key factors. Firstly, the rising demand for data-driven decision-making across enterprises necessitates access to diverse and high-quality data sets, which intermediary data traders effectively facilitate. Secondly, stringent data privacy regulations are pushing organizations to seek compliant data sharing solutions, increasing the reliance on trusted intermediaries. Thirdly, advancements in data anonymization and secure data transfer technologies are creating a safer and more efficient environment for data trading, boosting market confidence and participation. Segment-wise, enterprise data currently holds the largest share, followed by public data, reflecting the significant investments made by businesses in leveraging external data sources for competitive advantage. However, the personal data segment is poised for substantial growth, driven by emerging technologies that address privacy concerns and enable controlled data sharing for personalized services. The billing types are relatively evenly split between accumulative and term billing, with a potential shift towards flexible, accumulative billing models reflecting the evolving needs of both data buyers and sellers. Looking forward, the market is expected to witness continued expansion, with a projected CAGR (Compound Annual Growth Rate) of 15% between 2025 and 2033, based on current market dynamics and projected technological advancements. This growth will be further propelled by the increasing adoption of blockchain technology for secure and transparent data transactions, and the emergence of decentralized data marketplaces that enhance data liquidity and accessibility. Geographical distribution will see North America and Europe maintain dominant positions, however, the Asia-Pacific region is predicted to show the most significant growth rate, driven by rapidly expanding digital economies and increasing data generation in countries like India and China. Competitive pressures are expected to increase as more players enter the market, leading to innovation in pricing models, data quality assurance, and service offerings. This will ultimately benefit data consumers by enhancing access to valuable information at competitive costs.

  11. e

    STA MQTT brokers

    • data.europa.eu
    Updated Nov 21, 2022
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    Landesbetrieb Geoinformation und Vermessung (LGV) Hamburg (2022). STA MQTT brokers [Dataset]. https://data.europa.eu/data/datasets/785d987c-aaff-471d-ae3a-ebcd4c9e23f1?locale=en
    Explore at:
    Dataset updated
    Nov 21, 2022
    Dataset authored and provided by
    Landesbetrieb Geoinformation und Vermessung (LGV) Hamburg
    License

    http://inspire.ec.europa.eu/metadata-codelist/ConditionsApplyingToAccessAndUse/noConditionsApplyhttp://inspire.ec.europa.eu/metadata-codelist/ConditionsApplyingToAccessAndUse/noConditionsApply

    Description

    MQTT is an Internet protocol for the timely travel of real-time and sensor data. MQTT is part of the implementation of the SensorThings API. With the extension SensorThings MQTT, observation values can be created and transmitted to the SensorThings service.

    MQTT brokers: iot.hamburg.de

    You can subscribe to a topic at:

    — v1.0/Observations OR — v1.0/Datastreams({id})/Observations

    An example of how to visualise real-time data with MQTT is in the master portal of the LGV: https://www.masterportal.org/

  12. Information Broker Service Market Report | Global Forecast From 2025 To 2033...

    • dataintelo.com
    csv, pdf, pptx
    Updated Jan 7, 2025
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    Dataintelo (2025). Information Broker Service Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/global-information-broker-service-market
    Explore at:
    pdf, csv, pptxAvailable download formats
    Dataset updated
    Jan 7, 2025
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Information Broker Service Market Outlook



    The Information Broker Service Market is expected to exhibit substantial growth over the forecast period, with a compound annual growth rate (CAGR) of approximately 8.7% from 2024 to 2032. In 2023, the global market size stood at $3.8 billion, and it is projected to reach approximately $7.7 billion by 2032. This growth trajectory is primarily driven by the escalating demand for data-driven decision-making across various industries and the increasing reliance on information brokers to provide accurate and actionable insights. The proliferation of big data, coupled with advancements in data analytics technologies, is further catalyzing market expansion by enabling the extraction of valuable insights from vast datasets.



    One of the major growth factors propelling the Information Broker Service Market is the rapid digital transformation across industries which has led to an exponential increase in data generation. Businesses are increasingly recognizing the value of data as a strategic asset, driving the demand for information broker services that can efficiently manage, analyze, and report data. The rise of cloud computing and IoT devices has further contributed to this data surge, necessitating sophisticated information brokerage services that can handle large volumes of data in real-time. Furthermore, the growing importance of data privacy and compliance regulations has compelled organizations to seek reliable information brokers who can ensure data accuracy and compliance with legal standards.



    Another significant factor driving the market's growth is the increasing need for personalized customer experiences, particularly in sectors such as retail and financial services. Information brokers play a crucial role in providing the necessary insights for creating targeted marketing strategies and personalized product offerings. By leveraging customer data, businesses can tailor their services to meet specific customer preferences, enhancing customer satisfaction and loyalty. Additionally, the competitive landscape across industries has intensified the need for strategic market intelligence, prompting organizations to rely on information brokers for comprehensive market analysis and competitor insights.



    The advent of artificial intelligence (AI) and machine learning (ML) technologies has further accelerated the growth of the Information Broker Service Market. These technologies enable information brokers to automate data processing tasks, improving efficiency and reducing operational costs. AI and ML algorithms can analyze vast datasets at unprecedented speeds, providing real-time insights and predictive analytics that empower businesses to make informed decisions. As these technologies continue to evolve, they are expected to unlock new opportunities for information brokers, allowing them to offer more sophisticated services that cater to the evolving needs of their clients.



    Information Services play a pivotal role in the Information Broker Service Market by providing the foundational data that brokers analyze and interpret. These services encompass a wide range of activities, including data collection, storage, and dissemination, ensuring that businesses have access to timely and relevant information. As organizations increasingly rely on data to drive strategic decisions, the demand for robust information services has surged. These services not only support the operational needs of information brokers but also enhance their ability to deliver high-quality insights to clients. By integrating advanced technologies and adhering to stringent data protection standards, information services providers ensure the reliability and security of the data they handle, thereby reinforcing the trust that businesses place in information brokers.



    Regionally, North America is anticipated to dominate the Information Broker Service Market, owing to the presence of a large number of key market players and the region's advanced technological infrastructure. Additionally, the widespread adoption of data analytics tools and solutions in industries such as healthcare, finance, and retail is driving market growth in this region. Europe is also expected to exhibit significant growth, supported by stringent data protection regulations and the increasing need for data-driven insights across various sectors. Meanwhile, the Asia Pacific region is projected to witness the fastest growth rate, driven by rapid digitalization, growing internet penetration, and the increasing adoption of information brokerage services am

  13. p

    Insurance Brokers in United States - 23,341 Verified Listings Database

    • poidata.io
    csv, excel, json
    Updated Jun 14, 2025
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    Poidata.io (2025). Insurance Brokers in United States - 23,341 Verified Listings Database [Dataset]. https://www.poidata.io/report/insurance-broker/united-states
    Explore at:
    csv, json, excelAvailable download formats
    Dataset updated
    Jun 14, 2025
    Dataset provided by
    Poidata.io
    Area covered
    United States
    Description

    Comprehensive dataset of 23,341 Insurance brokers in United States as of June, 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.

  14. H

    Replication Data for: Explaining Variation in Broker Strategies: A...

    • dataverse.harvard.edu
    Updated Jan 13, 2017
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    Jessica Gottlieb (2017). Replication Data for: Explaining Variation in Broker Strategies: A Lab-in-the-Field Experiment in Senegal [Dataset]. http://doi.org/10.7910/DVN/WL27LZ
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jan 13, 2017
    Dataset provided by
    Harvard Dataverse
    Authors
    Jessica Gottlieb
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    Senegal
    Description

    The implications of clientelism for democratic accountability are mixed: brokers help coordinate votes for collective gain, but also exploit their position to advance personal interest. I argue that brokers use distinct strategies -- persuasion, reciprocation, and punishment -- to motivate voters as a function of their local institutional context. Competitively selected brokers whose preferences are aligned with those of followers can rely more on persuasion than instrumental inducements. Economically autonomous brokers are more likely to rely on sanctions than reciprocity. Evidence to support both the proposed typology of broker strategies and their determinants is collected in Senegal, a clientelistic democracy where group-level heterogeneity generates natural variation in broker types. A coordination game played with real brokers illustrates that participants are less likely to sacrifice personal gain when brokers are competitively selected, more likely when they most fear retribution. Qualitative data suggest results from the laboratory game plausibly generalize to behavior in elections.

  15. Stock broker user Data

    • dataandsons.com
    csv, zip
    Updated Oct 26, 2022
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    ABC (2022). Stock broker user Data [Dataset]. https://www.dataandsons.com/categories/business-information-and-financials/stock-broker-user-data
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    zip, csvAvailable download formats
    Dataset updated
    Oct 26, 2022
    Dataset provided by
    Authors
    ABC
    License

    Attribution-ShareAlike 4.0 (CC BY-SA 4.0)https://creativecommons.org/licenses/by-sa/4.0/
    License information was derived automatically

    Time period covered
    Jul 1, 2022 - Nov 26, 2022
    Description

    About this Dataset

    Stock broker user data like number name email

    Category

    Business Information & Financials

    Keywords

    Stock market,trading

    Row Count

    2358

    Price

    $1000.00

  16. Real-time Research | Company Data

    • lseg.com
    html,json,pdf
    Updated Nov 25, 2024
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    LSEG (2024). Real-time Research | Company Data [Dataset]. https://www.lseg.com/en/data-analytics/financial-data/company-data/broker-market-independent-research/real-time-research
    Explore at:
    html,json,pdfAvailable download formats
    Dataset updated
    Nov 25, 2024
    Dataset provided by
    London Stock Exchange Grouphttp://www.londonstockexchangegroup.com/
    Authors
    LSEG
    License

    https://www.lseg.com/en/policies/website-disclaimerhttps://www.lseg.com/en/policies/website-disclaimer

    Description

    Browse LSEG's Real-time Research, discover our range of data, indices & benchmarks. Our Data Catalogue offers unrivalled data and delivery mechanisms.

  17. Chile IS: Brokers: Brokerage: Trading Commissions

    • ceicdata.com
    Updated Jan 15, 2025
    + more versions
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    CEICdata.com (2025). Chile IS: Brokers: Brokerage: Trading Commissions [Dataset]. https://www.ceicdata.com/en/chile/financial--income-statement-ifrs-brokers/is-brokers-brokerage-trading-commissions
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    Dataset updated
    Jan 15, 2025
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Mar 1, 2022 - Dec 1, 2024
    Area covered
    Chile
    Variables measured
    Insurance Market
    Description

    Chile IS: Brokers: Brokerage: Trading Commissions data was reported at 71,594,785.000 CLP th in Dec 2024. This records an increase from the previous number of 53,175,661.000 CLP th for Sep 2024. Chile IS: Brokers: Brokerage: Trading Commissions data is updated quarterly, averaging 46,779,975.000 CLP th from Dec 2010 (Median) to Dec 2024, with 57 observations. The data reached an all-time high of 113,608,981.000 CLP th in Dec 2010 and a record low of 11,021,065.000 CLP th in Mar 2016. Chile IS: Brokers: Brokerage: Trading Commissions data remains active status in CEIC and is reported by Financial Market Commission. The data is categorized under Global Database’s Chile – Table CL.Z013: Financial & Income Statement: IFRS: Brokers.

  18. D

    3D Heights of Building Scene

    • data.nsw.gov.au
    • researchdata.edu.au
    Updated May 30, 2025
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    Spatial Services (DCS) (2025). 3D Heights of Building Scene [Dataset]. https://data.nsw.gov.au/data/dataset/1-d400f3b644044ca180e8deba52cfffb2
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    Dataset updated
    May 30, 2025
    Dataset provided by
    Spatial Services (DCS)
    Description

    Access API

    Metadata Portal Metadata Information

    Content Title3D Heights of Building Scene
    Content TypeHosted Feature Layer
    DescriptionContains the EPI "Height of Building" layer, extruded to 3D based on the Max Building Height. (Field used Max_B_H)

    This "Height of Building" spatial dataset identifies the maximum height of a building that is permitted on land as designated by the relevant NSW environmental planning instrument (EPI) under the Environmental Planning and Assessment Act 1979. The specific EPI which defines the planning requirement is described in the attribute field LEP_Name. The EPI can be viewed on the NSW legislation website: www.legislation.nsw.gov.au. Contact data.broker@environment.nsw.gov.au for a data package (shapefile).
    Initial Publication Date29/08/2008
    Data Currency03/02/2025
    Data Update FrequencyOther
    Content SourceAPI
    File TypeMap Feature Service
    Attribution© State Government of NSW and NSW Department of Planning, Housing and Infrastructure 2025
    Data Theme, Classification or Relationship to other DatasetsNSW Land Parcels and Theme of the Foundation Spatial Data Framework (FSDF)
    AccuracyPlease contact us via the Spatial Services Customer Hub
    Spatial Reference System (dataset)GDA94
    Spatial Reference System (web service)EPSG:3857
    WGS84 Equivalent ToGDA94
    Spatial ExtentFull State
    Content LineageContains the EPI "Height of Building" layer, extruded to 3D based on the Max Building Height. (Field used Max_B_H)
    LAY_CLASS objects "CA" shown as a 2D polygon instead of 3D extruded.

    Original Dataset Lineage: This spatial dataset reflects the current planning legislation in NSW in particular the maps and legislation published on the NSW legislation website (www.legislation.nsw.gov.au). The data production usually occurs in conjunction with the development of the Local Enviornmental Plan it is connected to. Original data inputs are produced by Local Goverment or the Department according to map and data standards developed by the Department and published externally via the website. These data inputs are checked by data and cartographic staff as well as planning staff internally against the map and data standards as well as for accurate content. Once the planning instrument is notified, the input data will be incorporated into the relevant LEP datasets. The quality management processes involved in the data production to this point are routinely screened by internal and external auditors for certification under ISO 9001 - Quality Management Systems. At this point the various datasets are then combined into a new normalised data schema to suit the requirements of the online Planning Viewer. This occurs via various automated ETL processes. Although every care is taken in ETL processes to maintain accuracy sometimes differences between inputs and final normalised data can occur.
    Data ClassificationUnclassified
    Data Access PolicyOpen
    Data QualityEnvironmental Planning Instrument - Height of Buildings (HOB) | Dataset | SEED
    Data Broker
    NSW Department of Planning, Housing and Infrastructure
    data.broker@environment.nsw.gov.au
    Terms and ConditionsCreative Commons
    Standard and SpecificationEnvironmental Planning Instrument - Height of Buildings (HOB) | Dataset | SEED
    Data Broker
    NSW Department of Planning, Housing and Infrastructure
    data.broker@environment.nsw.gov.au
    Data CustodianData Broker
    NSW Department of Planning, Housing and Infrastructure
    data.broker@environment.nsw.gov.au
    Point of ContactData Broker
    NSW Department of Planning, Housing and Infrastructure
    data.broker@environment.nsw.gov.au
    Data AggregatorData Broker
    NSW Department of Planning, Housing and Infrastructure
    data.broker@environment.nsw.gov.au
    Data DistributorSEED.nsw.gov.au
    Environmental Planning Instrument - Height of Buildings (HOB) | Dataset | SEED
    Additional Supporting InformationEnvironmental Planning Instrument - Height of Buildings (HOB) | Dataset | SEED
    Environmental Planning Instrument - Height of Buildings (HOB) | Data Quality Statement | SEED
    TRIM Number

  19. x

    Brokers & Agencies | Location Data | Xtract.io

    • xtract.io
    Updated Mar 7, 2023
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    Xtract.io Technology Solutions (2023). Brokers & Agencies | Location Data | Xtract.io [Dataset]. https://www.xtract.io/cmp/poidata/business-and-services/brokers/
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    Dataset updated
    Mar 7, 2023
    Dataset provided by
    Xtract.Io Technology Solutions Private Limited
    Authors
    Xtract.io Technology Solutions
    License

    https://www.xtract.io/privacy-policyhttps://www.xtract.io/privacy-policy

    Area covered
    Worldwide
    Description

    Polygon dataset for financial and business services, covering business brokers, accounting firms, insurance agencies, and stock brokers. Essential for competitor benchmarking, market trends, and strategic planning.

  20. O

    Real Estate Salespersons with Associated Broker

    • data.ct.gov
    • catalog.data.gov
    • +1more
    application/rdfxml +5
    Updated Jul 13, 2025
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    Department of Consumer Protection (2025). Real Estate Salespersons with Associated Broker [Dataset]. https://data.ct.gov/Business/Real-Estate-Salespersons-with-Associated-Broker/6tja-6vdt
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    csv, xml, tsv, json, application/rdfxml, application/rssxmlAvailable download formats
    Dataset updated
    Jul 13, 2025
    Dataset authored and provided by
    Department of Consumer Protection
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Description

    All actively licensed salespersons with the associated Real Estate Broker

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Dataintelo (2024). Data Broker Service Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/global-data-broker-service-market
Organization logo

Data Broker Service Market Report | Global Forecast From 2025 To 2033

Explore at:
pptx, pdf, csvAvailable download formats
Dataset updated
Oct 16, 2024
Dataset authored and provided by
Dataintelo
License

https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

Time period covered
2024 - 2032
Area covered
Global
Description

Data Broker Service Market Outlook



The global data broker service market size is projected to grow from USD 250 billion in 2023 to an estimated USD 450 billion by 2032, reflecting a compound annual growth rate (CAGR) of 6.7%. This substantial growth can be attributed to increasing digitalization, the exponential rise of data-driven decision-making across industries, and the growing realization of the value derived from data analytics. As businesses continue to recognize the potential of leveraging consumer, business, financial, and health data, the demand for data brokerage services is poised to expand significantly.



One of the primary growth factors for the data broker service market is the increasing importance of data in driving business strategies and operations. Companies are increasingly relying on consumer and market data to gain insights into market trends, consumer behavior, and competitive landscapes. This surge in data utilization across sectors such as retail, healthcare, and finance is propelling the demand for data brokerage services that can provide accurate and comprehensive data sets. The proliferation of digital platforms and the Internet of Things (IoT) has further amplified the volume of data generated, thus boosting the need for efficient data brokerage services.



Moreover, advancements in artificial intelligence (AI) and machine learning (ML) technologies are significantly contributing to the market's growth. These technologies enable enhanced data analysis, predictive analytics, and real-time decision-making, making data brokerage services more valuable. Businesses are increasingly investing in AI and ML to analyze large datasets more efficiently and extract actionable insights. Data brokers, in turn, are leveraging these technologies to offer more sophisticated and tailored data solutions, thus attracting a broader customer base.



Privacy regulations and data protection laws are also playing a crucial role in shaping the data broker service market. While these regulations pose challenges, they also create opportunities for compliant data brokers to differentiate themselves in the market. Companies are more inclined to partner with data brokers that demonstrate robust data governance practices and adhere to regulatory requirements. This trend is driving the market towards more ethical and transparent data brokerage practices, increasing the trust and credibility of data brokers among businesses and consumers alike.



The regional outlook for the data broker service market highlights North America as a dominant player, primarily due to the high adoption of data-driven strategies among businesses and the presence of major data brokerage firms. Europe follows closely, driven by stringent data protection regulations like GDPR, which necessitate secure and compliant data handling. The Asia Pacific region is expected to witness the fastest growth, fueled by the rapid digital transformation in countries like China and India and the increasing use of data analytics in various industries. Latin America and the Middle East & Africa regions are also showing promising growth, supported by the rising awareness of data's strategic value and increasing investments in data analytics infrastructure.



Data Type Analysis



The data broker service market by data type comprises consumer data, business data, financial data, health data, and other categories. Consumer data is one of the most significant segments within this market. This type of data includes information on consumer behavior, preferences, purchasing patterns, and demographics. Businesses leverage consumer data to tailor their marketing strategies, enhance customer experiences, and drive sales growth. The increasing use of digital platforms for shopping, social interaction, and information consumption is continually generating vast amounts of consumer data, thereby fueling the demand for consumer data brokerage services.



Business data, encompassing company profiles, industry trends, and competitive intelligence, is another vital segment. Organizations require business data to strategize market entry, expansion, and competitive positioning. Data brokers play a crucial role in aggregating and providing actionable business insights that help companies navigate complex market dynamics. The rise of global trade, the need for cross-border business intelligence, and the growing importance of data-driven decision-making in corporate strategies are driving the demand for business data brokerage services.



Financial data is crucial for sectors like banking, fina

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