77 datasets found
  1. 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
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    .json, .csvAvailable download formats
    Dataset updated
    Apr 11, 2022
    Dataset provided by
    ScrapeHero
    Authors
    Scrapehero
    Area covered
    Bhutan, Niue, Bahamas, Ghana, Portugal, Chad, Bahrain, Dominica, 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.

  2. 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
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    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...

  3. Commercial Real Estate Data | Global Real Estate Professionals | Work...

    • datarade.ai
    Updated Oct 27, 2021
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    Success.ai (2021). Commercial Real Estate Data | Global Real Estate Professionals | Work Emails, Phone Numbers & Verified Profiles | Best Price Guaranteed [Dataset]. https://datarade.ai/data-products/commercial-real-estate-data-global-real-estate-professional-success-ai
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    .bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset updated
    Oct 27, 2021
    Dataset provided by
    Area covered
    Burkina Faso, Guatemala, Netherlands, Marshall Islands, Hong Kong, Comoros, Sierra Leone, Bolivia (Plurinational State of), El Salvador, Korea (Republic of)
    Description

    Success.ai’s Commercial Real Estate Data and B2B Contact Data for Global Real Estate Professionals is a comprehensive dataset designed to connect businesses with industry leaders in real estate worldwide. With over 170M verified profiles, including work emails and direct phone numbers, this solution ensures precise outreach to agents, brokers, property developers, and key decision-makers in the real estate sector.

    Utilizing advanced AI-driven validation, our data is continuously updated to maintain 99% accuracy, offering actionable insights that empower targeted marketing, streamlined sales strategies, and efficient recruitment efforts. Whether you’re engaging with top real estate executives or sourcing local property experts, Success.ai provides reliable and compliant data tailored to your needs.

    Key Features of Success.ai’s Real Estate Professional Contact Data

    • Comprehensive Industry Coverage Gain direct access to verified profiles of real estate professionals across the globe, including:
    1. Real Estate Agents: Professionals facilitating property sales and purchases.
    2. Brokers: Key intermediaries managing transactions between buyers and sellers.
    3. Property Developers: Decision-makers shaping residential, commercial, and industrial projects.
    4. Real Estate Executives: Leaders overseeing multi-regional operations and business strategies.
    5. Architects & Consultants: Experts driving design and project feasibility.
    • Verified and Continuously Updated Data

    AI-Powered Validation: All profiles are verified using cutting-edge AI to ensure up-to-date accuracy. Real-Time Updates: Our database is refreshed continuously to reflect the most current information. Global Compliance: Fully aligned with GDPR, CCPA, and other regional regulations for ethical data use.

    • Customizable Data Delivery Tailor your data access to align with your operational goals:

    API Integration: Directly integrate data into your CRM or project management systems for seamless workflows. Custom Flat Files: Receive detailed datasets customized to your specifications, ready for immediate application.

    Why Choose Success.ai for Real Estate Contact Data?

    • Best Price Guarantee Enjoy competitive pricing that delivers exceptional value for verified, comprehensive contact data.

    • Precision Targeting for Real Estate Professionals Our dataset equips you to connect directly with real estate decision-makers, minimizing misdirected efforts and improving ROI.

    • Strategic Use Cases

      Lead Generation: Target qualified real estate agents and brokers to expand your network. Sales Outreach: Engage with property developers and executives to close high-value deals. Marketing Campaigns: Drive targeted campaigns tailored to real estate markets and demographics. Recruitment: Identify and attract top talent in real estate for your growing team. Market Research: Access firmographic and demographic data for in-depth industry analysis.

    • Data Highlights 170M+ Verified Professional Profiles 50M Work Emails 30M Company Profiles 700M Global Professional Profiles

    • Powerful APIs for Enhanced Functionality

      Enrichment API Ensure your contact database remains relevant and up-to-date with real-time enrichment. Ideal for businesses seeking to maintain competitive agility in dynamic markets.

    Lead Generation API Boost your lead generation with verified contact details for real estate professionals, supporting up to 860,000 API calls per day for robust scalability.

    • Use Cases for Real Estate Contact Data
    1. Targeted Outreach for New Projects Connect with property developers and brokers to pitch your services or collaborate on upcoming projects.

    2. Real Estate Marketing Campaigns Execute personalized marketing campaigns targeting agents and clients in residential, commercial, or industrial sectors.

    3. Enhanced Sales Strategies Shorten sales cycles by directly engaging with decision-makers and key stakeholders.

    4. Recruitment and Talent Acquisition Access profiles of highly skilled professionals to strengthen your real estate team.

    5. Market Analysis and Intelligence Leverage firmographic and demographic insights to identify trends and optimize business strategies.

    • What Makes Us Stand Out? >> Unmatched Data Accuracy: Our AI-driven validation ensures 99% accuracy for all contact details. >> Comprehensive Global Reach: Covering professionals across diverse real estate markets worldwide. >> Flexible Delivery Options: Access data in formats that seamlessly fit your existing systems. >> Ethical and Compliant Data Practices: Adherence to global standards for secure and responsible data use.

    Success.ai’s B2B Contact Data for Global Real Estate Professionals delivers the tools you need to connect with the right people at the right time, driving efficiency and success in your business operations. From agents and brokers to property developers and executiv...

  4. t

    TOP MACHINE BROKERS SL|Full export Customs Data Records|tradeindata

    • tradeindata.com
    Updated Oct 2, 2024
    + more versions
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    tradeindata (2024). TOP MACHINE BROKERS SL|Full export Customs Data Records|tradeindata [Dataset]. https://www.tradeindata.com/supplier_detail/?id=18f18b33272b5804fee8f182361d8245
    Explore at:
    Dataset updated
    Oct 2, 2024
    Dataset authored and provided by
    tradeindata
    License

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

    Description

    Customs records of are available for TOP MACHINE BROKERS SL. Learn about its Importer, supply capabilities and the countries to which it supplies goods

  5. Leading brokerage firms in India 2024 by number of active clients

    • statista.com
    Updated Jul 2, 2025
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    Statista (2025). Leading brokerage firms in India 2024 by number of active clients [Dataset]. https://www.statista.com/statistics/1056499/india-leading-equity-brokerage-firms-by-active-customers/
    Explore at:
    Dataset updated
    Jul 2, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    India
    Description

    In 2024, Groww was the leading equity brokerage firm across India, with over ************ active clients. Zerodha followed with **** million active clients.

  6. e

    Eximpedia Export Import Trade

    • eximpedia.app
    Updated Mar 3, 2025
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    Seair Exim (2025). Eximpedia Export Import Trade [Dataset]. https://www.eximpedia.app/
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    .bin, .xml, .csv, .xlsAvailable download formats
    Dataset updated
    Mar 3, 2025
    Dataset provided by
    Eximpedia PTE LTD
    Eximpedia Export Import Trade Data
    Authors
    Seair Exim
    Area covered
    Saint Vincent and the Grenadines, Spain, United States of America, Armenia, Cambodia, Liechtenstein, Uruguay, Cocos (Keeling) Islands, Dominica, Bahamas
    Description

    Top Machine Brokers Sl Company Export Import Records. Follow the Eximpedia platform for HS code, importer-exporter records, and customs shipment details.

  7. D

    EPI_Height of Building

    • data.nsw.gov.au
    arcgis rest service
    Updated May 30, 2025
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    Spatial Services (DCS) (2025). EPI_Height of Building [Dataset]. https://data.nsw.gov.au/data/dataset/1-7f707db3ca8c4fab80f0efda10672abf
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    arcgis rest serviceAvailable download formats
    Dataset updated
    May 30, 2025
    Dataset provided by
    Spatial Services (DCS)
    Description
    Export DataAccess API

    Metadata Portal Metadata Information

    Content TitleEPI_Height of Building
    Content TypeHosted Feature Layer
    DescriptionThis 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 LineageOriginal 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

  8. D

    Insurance Brokerage Market Report | Global Forecast From 2025 To 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Jan 7, 2025
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    Dataintelo (2025). Insurance Brokerage Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/global-insurance-brokerage-market
    Explore at:
    pdf, pptx, csvAvailable 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

    Insurance Brokerage Market Outlook



    The global insurance brokerage market size was valued at approximately USD 75 billion in 2023 and is projected to reach USD 120 billion by 2032, growing at a compound annual growth rate (CAGR) of 5.5%. One of the major growth factors propelling this market is the increasing complexity of insurance products and the rising need for knowledgeable intermediaries who can assist both individuals and corporations in navigating these complexities.



    One significant growth factor for the insurance brokerage market is the rising awareness and demand for various types of insurance products. As the global population continues to increase and age, there is a concurrent rise in the need for life insurance, health insurance, and property & casualty insurance. Insurance brokers play a crucial role in educating potential customers about the different types of insurance available, helping them make informed decisions. This need for expert advice is particularly pertinent in emerging markets where insurance penetration rates are still relatively low but rapidly growing.



    Another key driver is the technological advancements that are transforming the insurance brokerage industry. Digital tools and platforms enable brokers to offer more personalized and efficient services. For instance, the integration of AI and machine learning allows brokers to analyze vast amounts of data to better understand customer needs and preferences. This technological shift is not only enhancing the customer experience but also improving the operational efficiency of brokerage firms, making them more competitive.



    Regulatory changes and increased focus on compliance are also significant factors contributing to the growth of the insurance brokerage market. Governments around the world are implementing stringent regulations to protect consumer interests, which in turn, necessitates the expertise of insurance brokers who are well-versed in these regulatory frameworks. This trend is particularly noticeable in regions such as North America and Europe, where consumer protection laws are more stringent.



    In the evolving landscape of insurance brokerage, the role of a Data Broker is becoming increasingly significant. Data Brokers are entities that collect and analyze vast amounts of data to provide valuable insights into consumer behavior and market trends. This information is crucial for insurance brokers as it helps them tailor their services to meet the specific needs of their clients. By leveraging data analytics, brokers can identify potential risks and opportunities, enabling them to offer more personalized and efficient insurance solutions. The integration of data brokerage services into the insurance sector is enhancing the decision-making process and driving the growth of the market.



    Regionally, North America continues to lead the market in terms of both market size and growth rate. The region's mature insurance market, coupled with a high level of consumer awareness and stringent regulatory frameworks, makes it a fertile ground for insurance brokerage services. Europe follows closely, driven by similar factors. Emerging markets in Asia Pacific and Latin America are also showing promising growth, thanks to increasing insurance penetration and economic development.



    Type Analysis



    The insurance brokerage market can be segmented by type into Life Insurance, Property & Casualty Insurance, Health Insurance, and Others. Life Insurance remains one of the most significant segments, driven by the growing need for financial security among the aging population. Brokers play an essential role in helping clients understand various life insurance products, their benefits, and the long-term financial planning they entail. The increasing popularity of term life insurance, in particular, is making this segment highly dynamic and competitive.



    Property & Casualty Insurance is another critical segment within the insurance brokerage market. This type of insurance covers a wide range of products, including auto, home, and liability insurance. The rising incidence of natural disasters and increasing property values are driving demand for these insurance products. Insurance brokers assist clients in finding the best coverage options, ensuring they are adequately protected against various risks. The complexity and variety of property & casualty insurance products make the role of brokers indispensable in this segment.

    <b

  9. Information Broker 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 Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/information-broker-market
    Explore at:
    csv, pdf, 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 Market Outlook



    The global Information Broker market size was valued at approximately $265 billion in 2023 and is projected to reach around $460 billion by 2032, driven by a compound annual growth rate (CAGR) of 6.1%. This growth is primarily attributed to the increasing demand for data analytics and data-driven decision-making processes across various industries.



    The burgeoning demand for data analytics has been a significant growth factor for the Information Broker market. Organizations across different sectors are increasingly recognizing the value of data in gaining competitive advantages. By leveraging data collection, analysis, and reporting services, businesses can make informed decisions that drive growth, enhance operational efficiencies, and improve customer satisfaction. The proliferation of IoT devices and the advent of digital platforms have also led to an exponential increase in data generation, further amplifying the need for comprehensive data brokerage services.



    Another crucial factor contributing to the market's growth is the rising adoption of cloud-based solutions. Many organizations are shifting from traditional on-premises solutions to cloud-based platforms due to the latter's scalability, cost-effectiveness, and ease of access. Cloud deployment enables enterprises to manage large volumes of data efficiently while ensuring data security and compliance with regulations. This transition is expected to bolster the demand for Information Broker services over the forecast period.



    The Information Broker market is also experiencing growth due to the increasing focus on regulatory compliance and risk management. With stringent data protection regulations such as GDPR, CCPA, and others being enforced globally, organizations are under pressure to ensure their data management practices are compliant. Information brokers provide valuable services in ensuring data integrity, security, and compliance, which are critical for avoiding hefty fines and maintaining customer trust. This need for compliance-driven data management solutions is anticipated to drive market growth further.



    From a regional perspective, North America is expected to dominate the market, followed by Europe and Asia Pacific. The presence of major technology companies, coupled with a high adoption rate of advanced technologies in these regions, are significant drivers. Additionally, regions such as Asia Pacific are projected to witness the highest growth rate due to rapid technological advancements, increasing digitalization, and growing awareness about data analytics' benefits among enterprises in emerging economies like China and India.



    The role of Securities Brokerages And Stock Exchanges in the Information Broker market is becoming increasingly significant. These entities are pivotal in facilitating the seamless exchange of financial data and transactions, which is crucial for informed decision-making in the financial sector. As the demand for real-time data analytics grows, brokerages and exchanges are leveraging advanced technologies to enhance their data management capabilities. This evolution is driven by the need to provide clients with timely and accurate market insights, enabling them to make strategic investment decisions. The integration of AI and machine learning technologies is further augmenting the capabilities of brokerages and exchanges, allowing for more sophisticated data analysis and risk management. This trend is expected to continue as the financial industry increasingly relies on data-driven strategies to maintain competitiveness and compliance with regulatory standards.



    Service Type Analysis



    The Information Broker market is segmented into various service types, including Data Collection, Data Analysis, Data Reporting, and Others. Data Collection services form the backbone of the Information Broker market. This segment primarily involves the acquisition of raw data from multiple sources, including public records, social media platforms, transactional data, and sensors. The increasing reliance on data-driven decision-making has led businesses to invest heavily in data collection services. With the proliferation of IoT devices and the advent of big data, the volume of data generated is immense, necessitating robust data collection mechanisms. This segment is expected to witness substantial growth due to the constant need for fresh and reliable data.



    Data

  10. Paramita casha grande best global auto broker for international delivery USA...

    • seair.co.in
    Updated Nov 9, 2014
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    Seair Exim (2014). Paramita casha grande best global auto broker for international delivery USA Import & Buyer Data [Dataset]. https://www.seair.co.in
    Explore at:
    .bin, .xml, .csv, .xlsAvailable download formats
    Dataset updated
    Nov 9, 2014
    Dataset provided by
    Seair Exim Solutions
    Authors
    Seair Exim
    Area covered
    United States
    Description

    Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

  11. Brokerage and financial services companies in Italy 2019, by number of...

    • statista.com
    Updated Jun 27, 2022
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    Statista (2022). Brokerage and financial services companies in Italy 2019, by number of employees [Dataset]. https://www.statista.com/statistics/888013/brokerage-and-financial-companies-by-number-of-employees-in-italy/
    Explore at:
    Dataset updated
    Jun 27, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2019
    Area covered
    Italy
    Description

    The statistic shows the leading companies offering brokerage and service in Italy in 2019, by number of employees. According to the data, the leading brokerage and service company was Cordusio SIM with 228 employees.Cordusio SIM was founded in 2016 and its business focuses on strategic wealth management.

  12. 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
    Explore at:
    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

  13. S

    Active Real Estate Salespersons and Brokers

    • data.ny.gov
    • datadiscoverystudio.org
    • +3more
    application/rdfxml +5
    Updated Jul 4, 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 4, 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.

  14. Broker Distribution Insight 2020 - Which Insurers Lead The Way?

    • store.globaldata.com
    Updated Jun 30, 2020
    + more versions
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    GlobalData UK Ltd. (2020). Broker Distribution Insight 2020 - Which Insurers Lead The Way? [Dataset]. https://store.globaldata.com/report/broker-distribution-insight-2020-which-insurers-lead-the-way/
    Explore at:
    Dataset updated
    Jun 30, 2020
    Dataset provided by
    GlobalDatahttps://www.globaldata.com/
    Authors
    GlobalData UK Ltd.
    License

    https://www.globaldata.com/privacy-policy/https://www.globaldata.com/privacy-policy/

    Time period covered
    2020 - 2024
    Area covered
    Europe
    Description

    This report explores which insurers are rated by brokers as best in class for 10 categories, including e-trading capability, extranet sites, product material, online support, and claims services. It highlights the standout insurers across the board and within each category over time. It also shows the categories in which the leading insurers are rated best by brokers. In addition, the report illustrates what brokers are looking for from insurers, enabling insurers to adapt their distribution strategies with broker needs in mind. Read More

  15. Global Cloud Access Security Broker (CASB) Tool Market Industry Best...

    • statsndata.org
    excel, pdf
    Updated May 2025
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    Stats N Data (2025). Global Cloud Access Security Broker (CASB) Tool Market Industry Best Practices 2025-2032 [Dataset]. https://www.statsndata.org/report/cloud-access-security-broker-casb-tool-market-150005
    Explore at:
    excel, pdfAvailable download formats
    Dataset updated
    May 2025
    Dataset authored and provided by
    Stats N Data
    License

    https://www.statsndata.org/how-to-orderhttps://www.statsndata.org/how-to-order

    Area covered
    Global
    Description

    The Cloud Access Security Broker (CASB) market has emerged as a critical component in the realm of cloud security, addressing the increasing need for organizations to secure their data while utilizing cloud services. CASBs serve as intermediaries between on-premises infrastructure and cloud providers, providing orga

  16. Commercial Real Estate Data | Commercial Real Estate Professionals in Europe...

    • datarade.ai
    Updated Jan 1, 2018
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    Success.ai (2018). Commercial Real Estate Data | Commercial Real Estate Professionals in Europe | Verified Global Profiles from 700M+ Dataset | Best Price Guarantee [Dataset]. https://datarade.ai/data-products/commercial-real-estate-data-commercial-real-estate-professi-success-ai
    Explore at:
    .bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset updated
    Jan 1, 2018
    Dataset provided by
    Area covered
    Netherlands, Gibraltar, Bulgaria, Greece, Finland, Serbia, Monaco, Denmark, Croatia, Isle of Man
    Description

    Success.ai’s Commercial Real Estate Data for Commercial Real Estate Professionals in Europe provides a highly detailed dataset tailored for businesses looking to engage with key decision-makers in the European commercial real estate market. Covering developers, property managers, brokers, and investors, this dataset includes verified contact data, decision-maker insights, and firmographic details to empower your outreach and strategic initiatives.

    With access to over 700 million verified global profiles and data from 70 million businesses, Success.ai ensures your marketing, sales, and partnership efforts are powered by accurate, continuously updated, and AI-validated data. Supported by our Best Price Guarantee, this solution is indispensable for navigating Europe’s thriving commercial real estate sector.

    Why Choose Success.ai’s Commercial Real Estate Data?

    1. Verified Contact Data for Targeted Outreach

      • Access verified work emails, phone numbers, and LinkedIn profiles of property developers, brokers, asset managers, and investment leads.
      • AI-driven validation ensures 99% accuracy, reducing communication errors and improving outreach effectiveness.
    2. Comprehensive Coverage Across Europe’s Real Estate Sector

      • Includes profiles from major European real estate markets such as the UK, Germany, France, Italy, and the Netherlands.
      • Gain insights into regional market dynamics, investment opportunities, and commercial real estate trends.
    3. Continuously Updated Datasets

      • Real-time updates capture leadership changes, market expansions, and emerging property developments.
      • Stay aligned with the fast-evolving commercial real estate market and seize opportunities effectively.
    4. Ethical and Compliant

      • Adheres to GDPR, CCPA, and other global data privacy regulations, ensuring responsible use of data and compliance with legal standards.

    Data Highlights:

    • 700M+ Verified Global Profiles: Connect with decision-makers, property managers, and brokers in Europe’s commercial real estate sector.
    • 70M Business Profiles: Access detailed firmographic data, including company sizes, revenue ranges, and geographic footprints.
    • Leadership Insights: Engage with CEOs, asset managers, and real estate directors driving strategic decisions.
    • Market Intelligence: Gain visibility into property development projects, investment trends, and regional opportunities.

    Key Features of the Dataset:

    1. Decision-Maker Profiles in Real Estate

      • Identify and connect with executives, brokers, and property managers overseeing transactions, asset management, and investment strategies.
      • Target professionals responsible for property acquisitions, leasing, and development.
    2. Firmographic and Geographic Insights

      • Access detailed business information, including company structures, geographic locations, and market specializations.
      • Pinpoint key players in specific regions and align outreach with localized market needs.
    3. Advanced Filters for Precision Campaigns

      • Filter companies by industry focus (commercial properties, retail, industrial), revenue size, or project scope.
      • Tailor your campaigns to address specific challenges, such as tenant retention, sustainability initiatives, or market expansion.
    4. AI-Driven Enrichment

      • Profiles enriched with actionable data allow for personalized messaging, highlight unique value propositions, and improve engagement outcomes with real estate professionals.

    Strategic Use Cases:

    1. Sales and Lead Generation

      • Present property management tools, software solutions, or investment opportunities to real estate firms and property managers.
      • Build relationships with brokers and developers seeking innovative solutions to streamline operations or enhance profitability.
    2. Market Research and Competitive Analysis

      • Analyze trends in Europe’s commercial real estate market to guide product development and marketing strategies.
      • Benchmark against competitors to identify growth opportunities, underserved segments, and high-value properties.
    3. Partnership Development and Investment Insights

      • Engage with property developers, asset managers, and brokers exploring strategic partnerships or new investment opportunities.
      • Foster alliances that expand market reach, improve property performance, or drive higher returns.
    4. Recruitment and Workforce Solutions

      • Target HR professionals and hiring managers recruiting for roles in property management, real estate finance, or asset development.
      • Provide workforce optimization tools, training platforms, or recruitment services tailored to the commercial real estate sector.

    Why Choose Success.ai?

    1. Best Price Guarantee
      • Access premium-quality commercial real estate data at competitive prices, ensuring strong ROI for your marketing, sales, and business development efforts. ...
  17. d

    ProspectNow's USA property owner contact data (e-mail, phone, address) w/ 40...

    • datarade.ai
    .csv
    Updated Feb 10, 2022
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    ProspectNow (2022). ProspectNow's USA property owner contact data (e-mail, phone, address) w/ 40 million commercial properties and 100 million residential properties [Dataset]. https://datarade.ai/data-products/prospectnow-s-usa-property-owner-contact-data-e-mail-phone-prospectnow
    Explore at:
    .csvAvailable download formats
    Dataset updated
    Feb 10, 2022
    Dataset authored and provided by
    ProspectNow
    Area covered
    United States
    Description

    ProspectNow is the leading real estate data platform for brokers and agents.

    We build tools that help you acquire new business opportunities, interact with clients and build your brand.

    Find contact information and key decision-makers across any property type, in any neighborhood, nationwide.

    Use the prospecting platform to increase your deal flow and close more business with expanded coverage of both commercial and residential properties.

    Our data is collected through a trusted network of public records and private datasets websites.

    Want to learn how it works? Request a demo today!

  18. Insurance Brokers & Agencies in the US - Market Research Report (2015-2030)

    • ibisworld.com
    Updated Apr 26, 2025
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    IBISWorld (2025). Insurance Brokers & Agencies in the US - Market Research Report (2015-2030) [Dataset]. https://www.ibisworld.com/united-states/market-research-reports/insurance-brokers-agencies-industry/
    Explore at:
    Dataset updated
    Apr 26, 2025
    Dataset authored and provided by
    IBISWorld
    License

    https://www.ibisworld.com/about/termsofuse/https://www.ibisworld.com/about/termsofuse/

    Time period covered
    2015 - 2030
    Area covered
    United States
    Description

    The industry has benefited from economic growth, favorable legislation and positive trends in the insurance sector for most of the period. The industry includes insurance brokers representing the buyer instead of the insurance company and agencies representing various insurance companies during the purchasing process. The industry is vital to the larger insurance sector as operators act as intermediaries between insurance providers and downstream clients. Operators generate income via commissions earned on policies sold. As a result, industry revenue grows as policy prices and volumes increase. The industry has grown for several reasons. One such reason was rising premium prices on policies sold to consumers. Thanks to rising disposable income and favorable legislative trends, consumers weren’t deterred by rising premium prices and continued to purchase insurance products. The adverse economic effects of high inflation in the latter part of the period have restricted industry revenue growth as consumers and businesses have limited spending on insurance premiums. However, in 2024, inflationary pressures have eased and the Fed has cut interest rates, supporting industry growth as consumers and businesses can spend more on insurance premiums. The Fed is anticipated to cut rates further in 2025 but will monitor various economic data points before deciding on rate cuts. Overall, revenue grew at a CAGR of 1.5% to $234.8 billion over the past five years, including an expected climb of 1.3% in 2025 alone. Industry profit is expected to remain at 18.2% of revenue in the same year. Moving forward, the industry is anticipated to continue its steady growth rate as the overall economy improves despite high inflation, which is expected to linger as further rate cuts will support industry demand. Macroeconomic growth will lead to per capita disposable income growth during the outlook period, enabling consumers to afford goods that require insurance policies like automobiles and personal policies like private health and life insurance. Also, the business sentiment index is expected to climb despite persistently high inflation, leading to higher demand for brokerage of commercial lines of insurance. Inflationary pressures are expected to ease, boosting industry growth as consumers increase spending and demand shifts toward specific insurance niches. Overall, revenue is expected to rise at a CAGR of 0.9% to an estimated $245.9 billion over the five years to 2030.

  19. E-Brokerage Market Analysis, Size, and Forecast 2025-2029: North America...

    • technavio.com
    Updated Apr 15, 2025
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    Technavio (2025). E-Brokerage Market Analysis, Size, and Forecast 2025-2029: North America (US, Canada, and Mexico), Europe (France, Germany, The Netherlands, and UK), Middle East and Africa (UAE), APAC (Australia, China, India, Japan, and South Korea), South America (Brazil), and Rest of World (ROW) [Dataset]. https://www.technavio.com/report/e-brokerage-market-industry-analysis
    Explore at:
    Dataset updated
    Apr 15, 2025
    Dataset provided by
    TechNavio
    Authors
    Technavio
    Time period covered
    2021 - 2025
    Area covered
    United Kingdom, France, Mexico, Netherlands, Australia, Japan, United Arab Emirates, Canada, United States, Germany, Global
    Description

    Snapshot img

    E-Brokerage Market Size 2025-2029

    The e-brokerage market size is forecast to increase by USD 7.39 billion, at a CAGR of 7.9% between 2024 and 2029.

    The market is experiencing significant growth, driven by the increasing proliferation of internet access worldwide. This expansion is fueled by the convenience and accessibility that e-brokerage platforms offer, enabling investors to manage their portfolios remotely and execute trades in real-time. Another key trend shaping the market is the rising demand for customization and personalization in e-brokerage solutions. As investors seek more tailored services to meet their unique needs, e-brokerage providers are responding by offering personalized investment advice, customizable interfaces, and a wide range of financial instruments. However, the market also faces notable challenges. With the increasing popularity of e-brokerage platforms, cybersecurity risks have become a significant concern. As more investors turn to digital channels for their financial needs, the threat of data breaches, hacking, and other cyber attacks grows. E-brokerage providers must invest heavily in robust cybersecurity measures to protect their platforms and their clients' sensitive information. Additionally, regulatory compliance remains a complex and ever-evolving challenge for e-brokerage firms, requiring significant resources and expertise to navigate the intricacies of various financial regulations. These challenges, while daunting, present opportunities for e-brokerage providers that can effectively address these issues and provide a secure, reliable, and personalized platform for their clients.

    What will be the Size of the E-Brokerage Market during the forecast period?

    Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
    Request Free SampleThe market continues to evolve, with dynamic market dynamics shaping its various sectors. Investment products and services are increasingly integrated, offering users a comprehensive platform for financial management. Mobile app development is a key focus, enabling seamless trading and real-time data access. Cryptocurrency trading is gaining popularity, requiring advanced technology and robust security protocols. Market data and educational resources are essential components, empowering users with the tools for fundamental analysis and financial modeling. User experience is paramount, with customer support, account management, and portfolio optimization ensuring client satisfaction. Order routing and management systems facilitate efficient trade execution, while fractional shares and commission structures cater to diverse investment strategies. Data analytics and technical analysis provide valuable insights, driving informed decisions. High-frequency trading and algorithmic trading require advanced API integration and direct market access. Risk management and tax optimization are crucial, with real-time data and automated trading offering enhanced control. Client onboarding and account minimums are essential considerations, with various brokerage services catering to different customer segments. Wealth management and retirement planning require a holistic approach, incorporating estate planning and dividend reinvestment. Security breaches and data encryption are ongoing concerns, with robust security protocols essential for safeguarding sensitive information. Investment products and trading platforms continue to expand, offering users a wide range of options, including futures trading and forex trading. Charting tools and social trading provide additional resources for informed decision-making. The market's continuous dynamism ensures a constantly evolving landscape, requiring adaptability and innovation.

    How is this E-Brokerage Industry segmented?

    The e-brokerage industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments. Service TypeFull time brokerDiscounted brokerApplicationIndividual investorInstitutional investorOwnershipPrivately heldPublicly heldPlatformWeb-basedMobile appsDesktopAssest TypeEquitiesBondsDerivativesCryptocurrenciesGeographyNorth AmericaUSCanadaMexicoEuropeFranceGermanyThe NetherlandsUKMiddle East and AfricaUAEAPACAustraliaChinaIndiaJapanSouth KoreaSouth AmericaBrazilRest of World (ROW)

    By Service Type Insights

    The full time broker segment is estimated to witness significant growth during the forecast period.In the dynamic world of E-brokerage, full-time brokers play a pivotal role in facilitating the trade of various financial securities for clients. These licensed professionals, regulated by bodies like the SEC and FCA, work closely with individuals, institutions, and corporations to understand t

  20. E

    E-brokerage Market in Spain Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Mar 8, 2025
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    Data Insights Market (2025). E-brokerage Market in Spain Report [Dataset]. https://www.datainsightsmarket.com/reports/e-brokerage-market-in-spain-19610
    Explore at:
    pdf, doc, pptAvailable download formats
    Dataset updated
    Mar 8, 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
    Spain, Global
    Variables measured
    Market Size
    Description

    The Spanish e-brokerage market, exhibiting a robust Compound Annual Growth Rate (CAGR) of 8.00%, presents a compelling investment opportunity. Driven by increasing smartphone penetration, a young, tech-savvy population, and the growing preference for convenient, online investment solutions, the market is poised for significant expansion throughout the forecast period (2025-2033). While precise market size figures for Spain are unavailable, extrapolating from the global market and considering Spain's economic strengths and adoption of digital technologies, we can reasonably estimate the 2025 market size to be around €250 million. This estimation considers the relatively high level of financial literacy and digital adoption within Spain, compared to other European nations. Key market drivers include the accessibility and affordability of online trading platforms, coupled with increased financial education initiatives aimed at younger demographics, further fueling market growth. The market is segmented by investor type (retail and institutional) and operational geography (domestic and foreign). Leading players like ING, Renta4banco, Bankinter, and DEGIRO are fiercely competing, enhancing innovation and driving down costs for the end consumer. While regulatory changes and potential economic downturns present potential restraints, the overall market outlook remains positive, supported by the ongoing digitalization of the financial services sector in Spain. The competitive landscape is highly dynamic, with both established international players and local Spanish brokerages vying for market share. The retail investor segment currently dominates, but increased participation from institutional investors is expected, especially with the growing appeal of robo-advisors and algorithmic trading. The domestic operational segment holds a larger market share, but the foreign segment is witnessing significant growth, driven by the expansion of international brokerage firms offering services in Spain. Future growth will depend on sustained economic growth in Spain, ongoing technological advancements in the fintech sector, and the successful adaptation of regulatory frameworks to accommodate the evolving needs of the e-brokerage market. The forecast period suggests significant growth opportunities for both existing and new market entrants that can effectively cater to the evolving needs of Spanish investors. This in-depth report provides a comprehensive analysis of the e-brokerage market in Spain, covering the period from 2019 to 2033. With a focus on the key trends, growth drivers, and challenges shaping this dynamic sector, this report is essential reading for investors, market participants, and anyone seeking to understand the Spanish online brokerage landscape. The report utilizes data from the historical period (2019-2024), base year (2025), and estimated year (2025) to forecast market growth until 2033. Recent developments include: In early 2021, DeGiro BV merged with flatexDEGIRO Bank AG, creating the largest online foreclosure broker in Europe with its own banking license. Also in April 2020, German Flatex completes its 100% acquisition of DeGiro. The Deal value of the acquisition was 250 EURO million. With this Flatex Degiro become the leading online broker in Europe., In July 2021, Interactive broker, a leading online brokerage firm in Spain and all of Europe announced a new simple flat fee structure for stock trading in Europe. Interactive Broker is trying to increase its customer base by introducing a new simplified pricing structure for stocks that are tailored to individual investor priorities. The first markets to benefit from this new fee model are the exchanges of Western Europe.. Notable trends are: The Financial Products contribute to highest percentage of Family assets of Spanish.

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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
Organization logo

ScrapeHero Data Cloud - Free and Easy to use

Explore at:
.json, .csvAvailable download formats
Dataset updated
Apr 11, 2022
Dataset provided by
ScrapeHero
Authors
Scrapehero
Area covered
Bhutan, Niue, Bahamas, Ghana, Portugal, Chad, Bahrain, Dominica, 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.

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