100+ datasets found
  1. D

    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. c

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

    • cognitivemarketresearch.com
    pdf,excel,csv,ppt
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    Cognitive Market Research, 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 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...

  3. 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, Slovakia, Anguilla, Niue, Bahamas, Dominica, Ghana, Bahrain, Chad, Portugal
    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.

  4. t

    Data Broker Market Demand, Size and Competitive Analysis | TechSci Research

    • techsciresearch.com
    Updated Oct 26, 2023
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    TechSci Research (2023). Data Broker Market Demand, Size and Competitive Analysis | TechSci Research [Dataset]. https://www.techsciresearch.com/report/data-broker-market/18734.html
    Explore at:
    Dataset updated
    Oct 26, 2023
    Dataset authored and provided by
    TechSci Research
    License

    https://www.techsciresearch.com/privacy-policy.aspxhttps://www.techsciresearch.com/privacy-policy.aspx

    Description

    Global Data Broker Market is anticipated to project robust growth in the forecast period with a CAGR of 4.89% through 2028.

    Pages180
    Market Size
    Forecast Market Size
    CAGR
    Fastest Growing Segment
    Largest Market
    Key Players

  5. D

    Data Broker Market Report

    • promarketreports.com
    doc, pdf, ppt
    Updated Jul 28, 2025
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    Pro Market Reports (2025). Data Broker Market Report [Dataset]. https://www.promarketreports.com/reports/data-broker-market-8534
    Explore at:
    pdf, ppt, docAvailable download formats
    Dataset updated
    Jul 28, 2025
    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.

  6. USAspending.gov Broker Submission Data (Raw Files)

    • catalog.data.gov
    • data.amerigeoss.org
    Updated Dec 1, 2023
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    Bureau of the Fiscal Service (2023). USAspending.gov Broker Submission Data (Raw Files) [Dataset]. https://catalog.data.gov/dataset/usaspending-gov-broker-submission-data-raw-files
    Explore at:
    Dataset updated
    Dec 1, 2023
    Dataset provided by
    Bureau of the Fiscal Servicehttps://www.fiscal.treasury.gov/
    Description

    The source for raw agency-submitted financial assistance files and quarterly DATA Act files (which include account, contract, financial assistance, and subaward data). This agency data is submitted directly by agencies or pulled in from external federal systems. All data is presented to agency Senior Accountable Officials for review and certification via the DATA Act Broker. These submissions form the primary basis for the data displayed on the USAspending.gov website.

  7. d

    Active Real Estate Salespersons and Brokers

    • catalog.data.gov
    • data.ny.gov
    • +2more
    Updated Aug 30, 2025
    + more versions
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    data.ny.gov (2025). Active Real Estate Salespersons and Brokers [Dataset]. https://catalog.data.gov/dataset/active-real-estate-salespersons-and-brokers
    Explore at:
    Dataset updated
    Aug 30, 2025
    Dataset provided by
    data.ny.gov
    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.

  8. 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.

  9. p

    Stock brokers Business Data for United States

    • poidata.io
    csv, json
    Updated Sep 1, 2025
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    Business Data Provider (2025). Stock brokers Business Data for United States [Dataset]. https://www.poidata.io/report/stock-broker/united-states
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Sep 1, 2025
    Dataset authored and provided by
    Business Data Provider
    License

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

    Time period covered
    2025
    Area covered
    United States
    Variables measured
    Website URL, Phone Number, Review Count, Business Name, Email Address, Business Hours, Customer Rating, Business Address, Business Categories, Geographic Coordinates
    Description

    Comprehensive dataset containing 25,750 verified Stock broker businesses in United States with complete contact information, ratings, reviews, and location data.

  10. p

    Stock brokers Business Data for Montana, United States

    • poidata.io
    csv, json
    Updated Aug 25, 2025
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    Business Data Provider (2025). Stock brokers Business Data for Montana, United States [Dataset]. https://www.poidata.io/report/stock-broker/united-states/montana
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Aug 25, 2025
    Dataset authored and provided by
    Business Data Provider
    License

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

    Time period covered
    2025
    Area covered
    Montana
    Variables measured
    Website URL, Phone Number, Review Count, Business Name, Email Address, Business Hours, Customer Rating, Business Address, Business Categories, Geographic Coordinates
    Description

    Comprehensive dataset containing 180 verified Stock broker businesses in Montana, United States with complete contact information, ratings, reviews, and location data.

  11. p

    Stock brokers Business Data for Oregon, United States

    • poidata.io
    csv, json
    Updated Aug 31, 2025
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    Business Data Provider (2025). Stock brokers Business Data for Oregon, United States [Dataset]. https://www.poidata.io/report/stock-broker/united-states/oregon
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Aug 31, 2025
    Dataset authored and provided by
    Business Data Provider
    License

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

    Time period covered
    2025
    Area covered
    Oregon
    Variables measured
    Website URL, Phone Number, Review Count, Business Name, Email Address, Business Hours, Customer Rating, Business Address, Business Categories, Geographic Coordinates
    Description

    Comprehensive dataset containing 461 verified Stock broker businesses in Oregon, United States with complete contact information, ratings, reviews, and location data.

  12. 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/
    Explore at:
    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.

  13. d

    Company Information About Active Broker-Dealers

    • catalog.data.gov
    • datasets.ai
    • +2more
    Updated Aug 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
    Aug 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.

  14. H

    Replication Data for: Disloyal Brokers and Weak Parties

    • dataverse.harvard.edu
    • search.dataone.org
    Updated Jun 26, 2019
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    Lucas M. Novaes (2019). Replication Data for: Disloyal Brokers and Weak Parties [Dataset]. http://doi.org/10.7910/DVN/BPON3K
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jun 26, 2019
    Dataset provided by
    Harvard Dataverse
    Authors
    Lucas M. Novaes
    License

    https://dataverse.harvard.edu/api/datasets/:persistentId/versions/1.1/customlicense?persistentId=doi:10.7910/DVN/BPON3Khttps://dataverse.harvard.edu/api/datasets/:persistentId/versions/1.1/customlicense?persistentId=doi:10.7910/DVN/BPON3K

    Description

    This article shows that the disloyalty of political brokers causes party fragility. Lacking distinctive brands, organization, and activists to mobilize individuals, parties “hire” local notables to broker votes among a local, non–partisan constituency. However, brokers may be unreliable agents, regularly changing political allegiances in search of better returns for their brokerage among the module of voters they control. This free agency from brokers hinders durable party–voter linkages, and result in electorally vulnerable parties. Measuring how brokers influence parties is empirically complex, but taking advantage of the fact that in Brazil these agents are also local candidates, this article demonstrates the negative electoral consequences of brokers’ free agency on party performance. Natural experiments and an unexpected, temporary institutional reform that discouraged disloyalty for brokers demonstrate this relationship.

  15. H

    Replication Data for: Brokers, Social Networks, Reciprocity, and Clientelism...

    • dataverse.harvard.edu
    Updated Nov 22, 2022
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    Nico Ravanilla; Dotan Haim; Allen Hicken (2022). Replication Data for: Brokers, Social Networks, Reciprocity, and Clientelism [Dataset]. http://doi.org/10.7910/DVN/UTRXT7
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Nov 22, 2022
    Dataset provided by
    Harvard Dataverse
    Authors
    Nico Ravanilla; Dotan Haim; Allen Hicken
    License

    https://dataverse.harvard.edu/api/datasets/:persistentId/versions/1.1/customlicense?persistentId=doi:10.7910/DVN/UTRXT7https://dataverse.harvard.edu/api/datasets/:persistentId/versions/1.1/customlicense?persistentId=doi:10.7910/DVN/UTRXT7

    Area covered
    Philippines
    Description

    Although canonical models of clientelism argue that brokers use dense social networks to monitor and enforce vote buying, recent evidence suggests that brokers can instead target intrinsically reciprocal voters and reduce the need for active monitoring and enforcement. Combining a trove of survey data on brokers and voters in the Philippines with an experiment-based measure of reciprocity, and relying on local naming conventions to build social networks, we demonstrate that brokers employ both strategies conditional on the underlying social network structure. We show that brokers are chosen for their central position in networks and are knowledgeable about voters, including their reciprocity levels. We then show that, where village social networks are dense, brokers prefer to target voters that have many ties in the network because their votes are easiest to monitor. Where networks are sparse, brokers target intrinsically reciprocal voters whose behavior they need not monitor.

  16. p

    Food brokers Business Data for United States

    • poidata.io
    csv, json
    Updated Sep 1, 2025
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    Business Data Provider (2025). Food brokers Business Data for United States [Dataset]. https://www.poidata.io/report/food-broker/united-states
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Sep 1, 2025
    Dataset authored and provided by
    Business Data Provider
    License

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

    Time period covered
    2025
    Area covered
    United States
    Variables measured
    Website URL, Phone Number, Review Count, Business Name, Email Address, Business Hours, Customer Rating, Business Address, Business Categories, Geographic Coordinates
    Description

    Comprehensive dataset containing 1,297 verified Food broker businesses in United States with complete contact information, ratings, reviews, and location data.

  17. D

    Online Brokers for Stock Trading Market Report | Global Forecast From 2025...

    • dataintelo.com
    csv, pdf, pptx
    Updated Sep 12, 2024
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    Dataintelo (2024). Online Brokers for Stock Trading Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/global-online-brokers-for-stock-trading-market
    Explore at:
    pdf, csv, pptxAvailable download formats
    Dataset updated
    Sep 12, 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

    Online Brokers for Stock Trading Market Outlook



    The global market size for online brokers for stock trading was valued at USD 14.8 billion in 2023 and is projected to reach USD 35.6 billion by 2032, growing at a CAGR of 10.2% from 2024 to 2032. The substantial growth in this market is primarily driven by the increased adoption of online trading platforms among retail and institutional investors. Factors such as technological advancements, greater accessibility to financial markets, and the proliferation of internet and mobile device usage have significantly contributed to this market's expansion.



    One of the primary growth factors in the online brokers for stock trading market is the technological advancement in trading platforms. The integration of artificial intelligence, machine learning, and blockchain technology has revolutionized trading operations, making them more efficient and secure. These technological innovations provide traders with real-time data, sophisticated analytics, and automated trading options, enhancing their trading experience and success rates. The continuous improvement and innovation in trading software and tools are expected to drive market growth further.



    Another significant growth driver is the increased accessibility to financial markets. The democratization of stock trading, enabled by online platforms, has opened up investment opportunities to a broader audience. Retail investors, who previously found it challenging to enter the stock market due to high costs and complex procedures, now benefit from lower fees, user-friendly interfaces, and educational resources provided by online brokers. This increased accessibility has led to a surge in the number of active traders, thereby boosting market growth.



    Additionally, the proliferation of internet and mobile device usage has played a crucial role in the market's growth. The widespread use of smartphones and high-speed internet has made it easier for investors to trade stocks from anywhere and at any time. Mobile-based trading platforms offer convenience and flexibility, attracting a younger demographic and contributing to the market's expansion. The growing trend of mobile trading and the development of dedicated trading apps are expected to further propel market growth in the coming years.



    From a regional perspective, North America holds the largest share in the online brokers for stock trading market, followed by Europe and Asia Pacific. North America's dominance can be attributed to its well-established financial markets, high internet penetration, and the presence of major online broker firms. Europe is also witnessing significant growth due to favorable regulatory environments and technological advancements. The Asia Pacific region is expected to experience the highest growth rate during the forecast period, driven by emerging markets, increasing internet penetration, and a growing middle-class population with rising disposable incomes.



    Platform Type Analysis



    The platform type segment of the online brokers for stock trading market is categorized into web-based, mobile-based, and desktop-based platforms. Web-based platforms dominate the market due to their widespread adoption and ease of access. These platforms offer comprehensive functionalities, including real-time data, market analysis, and trading execution, making them popular among both retail and institutional investors. The continuous development and enhancement of web-based platforms are expected to maintain their dominance in the market.



    Mobile-based platforms are witnessing rapid growth, driven by the increasing use of smartphones and the demand for on-the-go trading solutions. These platforms provide users with flexibility and convenience, allowing them to trade stocks anytime and anywhere. The development of advanced mobile trading apps with user-friendly interfaces, real-time notifications, and secure transactions is attracting a younger demographic of investors. The growth of mobile-based platforms is expected to outpace other platform types during the forecast period.



    Desktop-based platforms, although declining in popularity compared to web and mobile platforms, still maintain a significant user base. These platforms are preferred by professional and institutional investors who require advanced trading tools, customizability, and high-speed data processing capabilities. Desktop-based platforms offer robust features such as algorithmic trading, charting tools, and direct market access, catering to the needs of experienced traders. Despite the rise of web an

  18. D

    3D Heights of Building Scene

    • data.nsw.gov.au
    • researchdata.edu.au
    Updated Aug 20, 2025
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    Spatial Services (DCS) (2025). 3D Heights of Building Scene [Dataset]. https://data.nsw.gov.au/data/dataset/1-d400f3b644044ca180e8deba52cfffb2
    Explore at:
    Dataset updated
    Aug 20, 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. f

    Triumph Brokerage | Properties Data | Real Estate Data

    • datastore.forage.ai
    Updated Sep 19, 2024
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    (2024). Triumph Brokerage | Properties Data | Real Estate Data [Dataset]. https://datastore.forage.ai/searchresults/?resource_keyword=Stock%20Brokerage
    Explore at:
    Dataset updated
    Sep 19, 2024
    Description

    Triumph Brokerage, a renowned financial services company, provides a wide range of information on the world of finance, including market trends, news, and analysis. The company's online presence offers valuable insights into the global financial landscape, making it an invaluable resource for investors, traders, and financial professionals alike.

    The information available on Triumph Brokerage's website is diverse and extensive, covering topics such as stock market performances, economic data, and industry reports. The company's team of experts and analysts provide thoughtful commentary and analysis, offering unique perspectives on the financial markets. With its commitment to providing timely and accurate information, Triumph Brokerage has established itself as a reliable and authoritative source in the world of finance.

  20. T

    Real Estate Agents And Brokers Directory Utah

    • opendata.utah.gov
    csv, xlsx, xml
    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:
    xlsx, csv, xmlAvailable 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

Share
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Email
Click to copy link
Link copied
Close
Cite
Dataintelo (2024). Data Broker Service Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/global-data-broker-service-market

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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