100+ datasets found
  1. d

    Insider Transactions Data Sets

    • catalog.data.gov
    Updated Apr 8, 2025
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    Structured Disclosure (2025). Insider Transactions Data Sets [Dataset]. https://catalog.data.gov/dataset/insider-transactions-data-sets
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    Dataset updated
    Apr 8, 2025
    Dataset provided by
    Structured Disclosure
    Description

    Under Section 16 of the Securities Exchange Act of 1934, senior executives, directors, and large-block shareholders are required to make ongoing filings about their company stock holdings to report any changes. These filings are made on Form 3, Form 4, and Form 5 and submitted to SECs Electronic Data Gathering, Analysis, and Retrieval (EDGAR) system.

  2. d

    Europe & UK Insider Trading Data | 25+ Years Historic Data | 55,000...

    • datarade.ai
    Updated Nov 27, 2023
    + more versions
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    Smart Insider (2023). Europe & UK Insider Trading Data | 25+ Years Historic Data | 55,000 Companies | 67 Countries | Public Equity Market Data for Investment Management [Dataset]. https://datarade.ai/data-products/europe-uk-insider-trading-data-25-years-historic-data-smart-insider
    Explore at:
    .xml, .csv, .xls, .txtAvailable download formats
    Dataset updated
    Nov 27, 2023
    Dataset authored and provided by
    Smart Insider
    Area covered
    United Kingdom
    Description

    When there is a vast variety of metrics and tools available to gain market insight, Insider trading offers valuable clues to investors related to future share performance. We at Smart Insider provide global insider trading data and analysis on share transactions made by directors & senior staff in the shares of their own companies.

    Monitoring all the insider trading activity is a huge task, we identify 'Smart Insiders' through specialist desktop and quantitative feeds that enable our clients to generate alpha.

    Our experienced analyst team use quantitative and qualitative methods to identify the stocks most likely to outperform based on deep analysis of insider trades, and the insiders themselves. Using our easy-to-read derived data we help our clients better understand insider transactions activity to make informed investment decisions.

    We provide full customization of reports delivered by desktop, through feeds, or alerts. Our quant clients can receive data in a variety of formats such as XML, XLSX or API via SFTP or Snowflake.

    Sample dataset for Desktop Service has been provided with some proprietary fields concealed. Upon request, we can provide a detailed Quant sample.

    Tags: Stock Market Data, Equity Market Data, Insider Transactions Data, Insider Trading Intelligence, Trading, Investment Management, Alternative Investment, Asset Management, Equity Research, Market Analysis, United Kingdom, Europe

  3. H

    Layline insider trading dataset

    • dataverse.harvard.edu
    • search.dataone.org
    • +1more
    Updated Jul 9, 2025
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    Attila Balogh (2025). Layline insider trading dataset [Dataset]. http://doi.org/10.7910/DVN/VH6GVH
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jul 9, 2025
    Dataset provided by
    Harvard Dataverse
    Authors
    Attila Balogh
    License

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

    Time period covered
    May 5, 2003 - Jul 10, 2025
    Description

    By using this dataset, you agree to cite the Related Publication shown below. This dataset captures insider trading activity at publicly traded companies. The Securities and Exchange Commission has made these insider trading reports available on its web site in a structured format since mid-2003. However, most academic papers use proprietary commercial databases instead of regulatory filings directly, which makes replication challenging because the data manipulation and aggregation steps in commercial databases are opaque and historical records could be altered by the data provider over time. To overcome these limitations, the presented dataset is created from the original regulatory filings; it is updated daily and includes all information reported by insiders without alteration. Daily updates: https://dx.doi.org/10.34740/kaggle/ds/2973477

  4. c

    Insider Threat Test Dataset

    • kilthub.cmu.edu
    txt
    Updated May 30, 2023
    + more versions
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    Brian Lindauer (2023). Insider Threat Test Dataset [Dataset]. http://doi.org/10.1184/R1/12841247.v1
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    txtAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    Carnegie Mellon University
    Authors
    Brian Lindauer
    License

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

    Description

    The Insider Threat Test Dataset is a collection of synthetic insider threat test datasets that provide both background and malicious actor synthetic data.The CERT Division, in partnership with ExactData, LLC, and under sponsorship from DARPA I2O, generated a collection of synthetic insider threat test datasets. These datasets provide both synthetic background data and data from synthetic malicious actors.For more background on this data, please see the paper, Bridging the Gap: A Pragmatic Approach to Generating Insider Threat Data.Datasets are organized according to the data generator release that created them. Most releases include multiple datasets (e.g., r3.1 and r3.2). Generally, later releases include a superset of the data generation functionality of earlier releases. Each dataset file contains a readme file that provides detailed notes about the features of that release.The answer key file answers.tar.bz2 contains the details of the malicious activity included in each dataset, including descriptions of the scenarios enacted and the identifiers of the synthetic users involved.

  5. d

    Corporate Insider Transactions API

    • datarade.ai
    .json, .csv, .xls
    Updated Sep 27, 2022
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    Finnworlds (2022). Corporate Insider Transactions API [Dataset]. https://datarade.ai/data-products/corporate-insider-transactions-api-finnworlds
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    .json, .csv, .xlsAvailable download formats
    Dataset updated
    Sep 27, 2022
    Dataset authored and provided by
    Finnworlds
    Area covered
    United States of America
    Description

    The insider trades made by corporate executives, directors and officers includes the purchases, sales and ownership of securities at a company. The insider transactions data is reliable as it is sourced directly from SEC forms 3,4 and 5. Insider trades is a valuable tool in stock trading and investing. The data on insider transactions is automatically updated once disclosures and reports are made available on SEC. In case you want to learn more about Finnworlds Insider Transactions API, please, visit the website. https://finnworlds.com/insider-transactions-api/

  6. d

    Africa & Middle East | Insider Trading Data | 25+ Years Historic Data |...

    • datarade.ai
    Updated Nov 5, 2023
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    Smart Insider (2023). Africa & Middle East | Insider Trading Data | 25+ Years Historic Data | Stock Market Data | Public Equity Market Data for Investment Management [Dataset]. https://datarade.ai/data-products/africa-insider-trading-data-25-years-historic-data-sto-smart-insider
    Explore at:
    .xml, .csv, .xls, .txtAvailable download formats
    Dataset updated
    Nov 5, 2023
    Dataset authored and provided by
    Smart Insider
    Area covered
    Mauritius, Ghana, Namibia, Congo (Democratic Republic of the), Eritrea, Benin, Senegal, Central African Republic, Somalia, South Africa
    Description

    When there is a vast variety of metrics and tools available to gain market insight, Insider trading offers valuable clues to investors related to future share performance. We at Smart Insider provide global insider trading data and analysis on share transactions made by directors & senior staff in the shares of their own companies.

    Monitoring all the insider trading activity is a huge task, we identify 'Smart Insiders' through specialist desktop and quantitative feeds that enable our clients to generate alpha.

    Our experienced analyst team uses quantitative and qualitative methods to identify the stocks most likely to outperform based on deep analysis of insider trades, and the insiders themselves. Using our easy-to-read derived data we help our clients better understand insider transactions activity to make informed investment decisions.

    We provide full customization of reports delivered by desktop, through feeds, or alerts. Our quant clients can receive data in a variety of formats such as XML, XLSX or API via SFTP or Snowflake.

    Sample dataset for Desktop Service has been provided with some proprietary fields concealed. Upon request, we can provide a detailed Quant sample.

    Tags: Stock Market Data, Equity Market Data, Insider Transactions Data, Insider Trading Intelligence, Trading Data, Investment Management, Alternative Investment, Asset Management, Equity Research, Market Analysis, Africa

  7. D

    Replication Data for: “The Dollar Profits to Insider Trading”

    • dataverse.nl
    • b2find.eudat.eu
    Updated Feb 17, 2023
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    Jasmin Gider; Jasmin Gider; Peter Cziraki; Peter Cziraki (2023). Replication Data for: “The Dollar Profits to Insider Trading” [Dataset]. http://doi.org/10.34894/UJDXYK
    Explore at:
    application/x-stata-syntax(2929), application/x-stata-syntax(6335), application/x-stata-syntax(2271), application/x-stata-syntax(2111), application/x-stata-syntax(11290), application/x-stata-syntax(23241), application/x-stata-syntax(9830), pdf(183447), application/x-stata-syntax(4191), application/x-stata-syntax(2960), application/x-stata-syntax(1826), application/x-stata-syntax(1465)Available download formats
    Dataset updated
    Feb 17, 2023
    Dataset provided by
    DataverseNL
    Authors
    Jasmin Gider; Jasmin Gider; Peter Cziraki; Peter Cziraki
    License

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

    Description

    The dataset consists of 644,643 corporate insider transactions between January 1986 and December 2013 that were filed to the Securities and Exchange Commission using Form 4 under Section 16 of the Securities Exchange Act of 1934. The original filings contain information on the identity of the trader, the role within the firm, the number of shares that were bought or sold, the transaction price, the total share position of the respective trader, the date of trade, and the date of reporting. The data on trades are merged with other characteristics of the insider or the firm. The dataset is used to investigate insider trading quantities and dollar profits to measure the benefits that insiders extract from their superior information. We describe and quantify the dollar profits, study the relation between trading returns and trading quantities and explore the determinants behind this relation.

  8. Global firms data loss incidents via insider 2022

    • statista.com
    Updated Jul 8, 2025
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    Statista (2025). Global firms data loss incidents via insider 2022 [Dataset]. https://www.statista.com/statistics/1376346/data-loss-via-insiders-companies-worldwide/
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    Dataset updated
    Jul 8, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2022
    Area covered
    Worldwide
    Description

    A 2022 survey found that a quarter of participants reported having experienced up to *** incidents of data leakage via insider. About ** percent of the respondents had encountered ** to ** percent incidents of confidential data loss caused by an insider. A further ** percent said they had seen more than ** incidents involving insider threats.

  9. StarMine Insider Filings Model

    • lseg.com
    Updated Mar 19, 2025
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    LSEG (2025). StarMine Insider Filings Model [Dataset]. https://www.lseg.com/en/data-analytics/financial-data/analytics/quantitative-analytics/starmine-insider-filings-model
    Explore at:
    csv,json,python,text,user interface,xmlAvailable download formats
    Dataset updated
    Mar 19, 2025
    Dataset provided by
    London Stock Exchange Grouphttp://www.londonstockexchangegroup.com/
    Authors
    LSEG
    License

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

    Description

    Determine the overall sentiment of insiders towards their company using StarMine's Insider Filings Model, using information from insider holdings and trades.

  10. g

    Insider Transactions Data Sets | gimi9.com

    • gimi9.com
    Updated Oct 11, 2007
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    (2007). Insider Transactions Data Sets | gimi9.com [Dataset]. https://gimi9.com/dataset/data-gov_insider-transactions-data-sets/
    Explore at:
    Dataset updated
    Oct 11, 2007
    Description

    Under Section 16 of the Securities Exchange Act of 1934, senior executives, directors, and large-block shareholders are required to make ongoing filings about their company stock holdings to report any changes. These filings are made on Form 3, Form 4, and Form 5 and submitted to SECs Electronic Data Gathering, Analysis, and Retrieval (EDGAR) system.

  11. Types of data most susceptible to insider attacks worldwide 2023

    • statista.com
    Updated Jul 9, 2025
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    Statista (2025). Types of data most susceptible to insider attacks worldwide 2023 [Dataset]. https://www.statista.com/statistics/1463638/types-of-data-most-susceptible-to-insider-attacks-worldwide/
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    Dataset updated
    Jul 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Dec 2023
    Area covered
    Worldwide
    Description

    In a 2023 survey, ** percent of respondents among IT professionals worldwide found financial data to be the most susceptible to insider attacks. Customer data and employee data followed, with ** percent and ** percent of respondents, respectively. By contrast, only one-fourth of respondents considered intellectual property data to be the most susceptible to insider attacks

  12. Microsoft insider trading data

    • kaggle.com
    Updated May 31, 2024
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    Sauers (2024). Microsoft insider trading data [Dataset]. https://www.kaggle.com/datasets/sauers/microsoft-insider-trading-data
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    May 31, 2024
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Sauers
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    Dataset

    This dataset was created by Sauers

    Released under CC0: Public Domain

    Contents

  13. d

    Asia Pacific | Corporate Buyback Data | Transactions and Intentions | 10...

    • datarade.ai
    Updated Feb 15, 2024
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    Smart Insider (2024). Asia Pacific | Corporate Buyback Data | Transactions and Intentions | 10 Years Historical Data | 20K+ companies | Corporate Actions Data [Dataset]. https://datarade.ai/data-products/asia-corporate-buyback-data-transactions-and-intentions-smart-insider
    Explore at:
    .xml, .csv, .xls, .txtAvailable download formats
    Dataset updated
    Feb 15, 2024
    Dataset authored and provided by
    Smart Insider
    Area covered
    Taiwan, Bangladesh, Nepal, Armenia, Bhutan, Thailand, Sri Lanka, Bahrain, Korea (Democratic People's Republic of), Mongolia
    Description

    Smart Insider’s Global Share Buyback Database offers invaluable insights to investors on corporate actions data. We provide detailed, up-to-date share buyback data covering over 55,000 companies globally and over 20K+ from Asia, that’s every company that reports Buybacks through regulatory processes.

    Our Share buyback data includes detailed information on all major buyback transactions including source announcements and derived analysis fields. Our platform adds a visual representation of the data, allowing investors to quickly identify patterns and make decisions based on their findings.

    Get detailed share buyback insights with Smart Insider and stay ahead of the curve with accurate, historical buyback insight that helps you make better investment decisions.

    We provide full customization of reports delivered by desktop, through feeds, or alerts. Our quant clients can receive data in a variety of formats such as CSV, XML or XLSX via SFTP, API or Snowflake.

    Sample dataset for Desktop Service has been provided with limited fields. Upon request, we can provide a detailed Quant sample.

    Tags: Equity Market Data, Stock Market Data, Corporate Actions Data, Corporate Buyback Data, Company Financial Data, Insider Trading Data

  14. The Washington Service | Insider Trading Data & News

    • lseg.com
    text,user interface
    Updated Mar 26, 2025
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    LSEG (2025). The Washington Service | Insider Trading Data & News [Dataset]. https://www.lseg.com/en/data-analytics/financial-data/news/washington-service
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    text,user interfaceAvailable download formats
    Dataset updated
    Mar 26, 2025
    Dataset provided by
    London Stock Exchange Grouphttp://www.londonstockexchangegroup.com/
    Authors
    LSEG
    License

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

    Description

    Get real-time insider trading data, Form 4 & Form 144 filings, and analytics from The Washington Service. Stay informed with expert insights.

  15. I

    Insider Threat Management Tools Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Apr 30, 2025
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    Data Insights Market (2025). Insider Threat Management Tools Report [Dataset]. https://www.datainsightsmarket.com/reports/insider-threat-management-tools-1931898
    Explore at:
    doc, pdf, pptAvailable download formats
    Dataset updated
    Apr 30, 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 Insider Threat Management (ITM) tools market is experiencing robust growth, driven by the increasing frequency and sophistication of insider threats and the rising adoption of cloud-based solutions. The market, currently valued at approximately $2.5 billion in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033. This growth is fueled by several key factors. Firstly, the expanding attack surface resulting from remote work and the proliferation of sensitive data across various platforms necessitates robust ITM solutions. Secondly, stringent regulatory compliance requirements, such as GDPR and CCPA, are pushing organizations to implement stronger security measures to protect sensitive customer and employee data, further driving demand. Thirdly, the evolution of ITM tools towards advanced analytics and machine learning capabilities allows for more effective threat detection and response, making them increasingly attractive to organizations of all sizes. Large enterprises are currently the largest segment, but the Small and Medium-sized Enterprises (SME) segment is showing significant growth potential due to increased awareness of insider threat risks and the availability of more affordable and user-friendly solutions. The market is segmented by deployment type (cloud-based and on-premises) and user type (large enterprises and SMEs). Cloud-based solutions are gaining traction due to their scalability, cost-effectiveness, and ease of implementation. However, on-premises solutions still maintain a significant market share, particularly among large enterprises with stringent security and data residency requirements. Geographic distribution shows North America holding the largest market share currently, followed by Europe and Asia Pacific. However, Asia Pacific is expected to experience the fastest growth in the coming years due to increasing digitalization and rising cybersecurity awareness in emerging economies. Despite the positive outlook, the market faces certain restraints, such as the high cost of implementation for advanced ITM solutions, the complexity of managing and analyzing large datasets, and the lack of skilled cybersecurity professionals to effectively operate and maintain these systems. Nonetheless, the overall market trajectory suggests a sustained and significant expansion in the coming years, making ITM a crucial area for investment and innovation.

  16. Predicting the trading behavior of socially connected investors

    • figshare.com
    zip
    Updated Jul 14, 2022
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    Kęstutis Baltakys; Margarita Baltakiene; Juho Kanniainen; Negar Heidari; Alexandros Iosifidis (2022). Predicting the trading behavior of socially connected investors [Dataset]. http://doi.org/10.6084/m9.figshare.20310240.v1
    Explore at:
    zipAvailable download formats
    Dataset updated
    Jul 14, 2022
    Dataset provided by
    figshare
    Figsharehttp://figshare.com/
    Authors
    Kęstutis Baltakys; Margarita Baltakiene; Juho Kanniainen; Negar Heidari; Alexandros Iosifidis
    License

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

    Description

    Eight data sets that differ in whether they are used to predict investor trading in the same or subsequent periods with observations about the trading of neighbors in the social network. The periods are either daily or weekly windows. Moreover, we investigate separately investor influence over purchase and sale transactions. These three differences lead to eight distinct data sets. The size of the data sets ranges from just below 2,400 to almost 22 thousand observations. The labels are positive (set equal to 1) if an investor on a given day traded specific security in the same direction as at least one of his neighbors and negative (set equal to 0) otherwise. We use a sliding window with the size corresponding to the prediction window. In each window, for each ego investor, we create observations of instances of social influence in the neighborhood, given that at least one of the neighbors is active. An ego investor can be understood as a tippee and her neighbors as tippers. We record the specific behavior of investors in their neighborhood and, depending on the prediction period, the ego investors' behavior in the same or subsequent period. Initially, the data sets were highly imbalanced in terms of labels and, for this reason, were re-sampled to achieve a 1:3 label balance ratio.

  17. d

    Europe & UK Corporate Buyback Data | Transactions and Intentions | 31...

    • datarade.ai
    Updated Feb 15, 2024
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    Smart Insider (2024). Europe & UK Corporate Buyback Data | Transactions and Intentions | 31 Countries | 10 Years Historical Data | Public Equity / Stock Market Data [Dataset]. https://datarade.ai/data-products/europe-uk-corporate-buyback-data-transactions-and-intenti-smart-insider
    Explore at:
    .xml, .csv, .xls, .txtAvailable download formats
    Dataset updated
    Feb 15, 2024
    Dataset authored and provided by
    Smart Insider
    Area covered
    United Kingdom
    Description

    Smart Insider’s Global Share Buyback Database offers invaluable insights to investors on stock market data. We provide detailed, up-to-date share buyback data covering over 55,000 companies globally and over 8,000+ in Europe & UK, that’s every company that reports Buybacks through regulatory processes.

    Our Share buyback data includes detailed information on all major buyback transactions including source announcements and derived analysis fields. Our platform adds a visual representation of the data, allowing investors to quickly identify patterns and make decisions based on their findings.

    Get detailed share buyback insights with Smart Insider and stay ahead of the curve with accurate, historical buyback insight that helps you make better investment decisions.

    We provide full customization of reports delivered by desktop, through feeds, or alerts. Our quant clients can receive data in a variety of formats such as CSV, XML or XLSX via SFTP, API or Snowflake.

    Sample dataset for Desktop Service has been provided with limited fields. Upon request, we can provide a detailed Quant sample.

    Tags: Equity Market Data, Stock Market Data, Corporate Actions Data, Corporate Buyback Data, Company Financial Data, Insider Trading Data

  18. D

    Insider Threat Protection Market Report | Global Forecast From 2025 To 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Oct 16, 2024
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    Dataintelo (2024). Insider Threat Protection Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/insider-threat-protection-market
    Explore at:
    pdf, csv, pptxAvailable 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

    Insider Threat Protection Market Outlook



    The global insider threat protection market size was estimated to be approximately USD 3.6 billion in 2023 and is projected to reach USD 8.1 billion by 2032, growing at a compound annual growth rate (CAGR) of 9.5% over the forecast period. This growth is driven by the increasing frequency of insider threats, rising awareness regarding data protection, and stringent regulations that mandate robust security measures.



    One of the primary growth factors for the insider threat protection market is the escalating number of insider threats, including both malicious and negligent insiders. With the increasing adoption of digital transformation across industries, the potential for insider threats has surged due to the wider access to sensitive information. Organizations are becoming more aware of the severe repercussions of data breaches, leading to a heightened focus on implementing robust insider threat protection solutions. Moreover, the integration of advanced technologies like machine learning and artificial intelligence in security systems is enabling more effective monitoring and detection of insider threats, further contributing to market growth.



    Another significant growth driver is the stringent regulatory landscape. Governments and regulatory bodies worldwide are increasingly imposing regulations to ensure data protection and privacy. Compliance with regulations such as the General Data Protection Regulation (GDPR) in Europe, the Health Insurance Portability and Accountability Act (HIPAA) in the United States, and other national data protection laws necessitates the deployment of sophisticated insider threat protection solutions. Organizations are investing heavily in security measures to avoid hefty fines and reputational damage associated with non-compliance, thereby boosting market demand.



    Moreover, the rise in remote working trends, especially post the COVID-19 pandemic, has accentuated the need for robust insider threat protection mechanisms. With a significant portion of the workforce continuing to operate remotely, the risks associated with insider threats have multiplied. Remote work environments often lack the stringent security controls present in office settings, making it crucial for organizations to deploy comprehensive insider threat protection solutions to safeguard their critical assets and data.



    Regionally, North America currently holds the largest share of the insider threat protection market, driven by the presence of major market players and the early adoption of advanced security technologies. The Asia Pacific region is expected to witness the highest growth rate during the forecast period, fueled by the rapid digitization of economies, increasing cyber threats, and growing investments in cybersecurity infrastructure. Europe also presents significant growth opportunities due to stringent regulatory frameworks and increasing awareness regarding data protection across industries.



    Component Analysis



    In the insider threat protection market, the component segment is divided into solutions and services. The solutions component encompasses various software and hardware tools designed to detect, analyze, and mitigate insider threats. This segment includes user activity monitoring software, data loss prevention solutions, and behavioral analytics tools, among others. The services component, on the other hand, involves managed security services, consulting, training, and support services that help organizations effectively implement and manage insider threat protection strategies.



    The solutions segment holds a significant share in the market, driven by the increasing adoption of advanced technologies to detect and prevent insider threats. User activity monitoring software is particularly in high demand, as it enables organizations to track and analyze user behavior patterns to identify potential threats. Behavioral analytics tools are also gaining traction, leveraging machine learning algorithms to detect anomalies and suspicious activities that may indicate insider threats. The integration of these solutions with existing security infrastructure enhances their effectiveness, further driving market growth.



    The services segment is also experiencing substantial growth, as organizations increasingly seek external expertise to manage their insider threat protection initiatives. Managed security services providers (MSSPs) offer comprehensive solutions that include continuous monitoring, threat detection, and incident response, allowing organizations to focus on their core busi

  19. I

    Insider Threat Management Tools Report

    • marketresearchforecast.com
    doc, pdf, ppt
    Updated Mar 16, 2025
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    Market Research Forecast (2025). Insider Threat Management Tools Report [Dataset]. https://www.marketresearchforecast.com/reports/insider-threat-management-tools-35993
    Explore at:
    ppt, pdf, docAvailable download formats
    Dataset updated
    Mar 16, 2025
    Dataset authored and provided by
    Market Research Forecast
    License

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

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

    The Insider Threat Management (ITM) tools market is experiencing robust growth, driven by the increasing frequency and sophistication of insider threats and the rising adoption of cloud-based solutions. The market's expansion is fueled by several factors, including the growing volume of sensitive data, heightened regulatory compliance requirements (like GDPR and CCPA), and the increasing reliance on remote work environments, which expands the attack surface. Organizations across various sectors, including finance, healthcare, and technology, are prioritizing ITM solutions to mitigate risks associated with malicious or negligent insiders. The market is segmented by deployment type (cloud-based and on-premises) and user type (large enterprises and SMEs), with cloud-based solutions gaining significant traction due to their scalability, cost-effectiveness, and ease of deployment. North America currently holds a dominant market share, owing to early adoption and a well-established IT infrastructure. However, other regions, particularly Asia-Pacific, are witnessing rapid growth, fueled by increasing digitalization and government initiatives to improve cybersecurity. The competitive landscape is characterized by both established players and emerging vendors, leading to innovation and diversification of solutions. Future growth will likely be driven by advancements in artificial intelligence (AI) and machine learning (ML) for enhanced threat detection and response capabilities, as well as increased integration with other security solutions to create a holistic security posture. While the precise market size figures are unavailable, considering the rapid growth in cybersecurity and the criticality of insider threat protection, we can reasonably estimate a 2025 market size of approximately $5 billion, based on industry reports of other related cybersecurity segments and their growth rates. A conservative Compound Annual Growth Rate (CAGR) of 15% over the forecast period (2025-2033) is projected, given the continued demand and technological advancements. This growth will likely be influenced by factors like the increasing adoption of ITM solutions by SMEs, expansion into emerging markets, and the continuous development of more sophisticated threat detection technologies. However, factors like high initial investment costs and the complexity of implementing and managing ITM solutions could potentially restrain market growth to some extent.

  20. Most common data exfiltration behaviors during insider threats in the U.S....

    • statista.com
    Updated Jul 9, 2025
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    Statista (2025). Most common data exfiltration behaviors during insider threats in the U.S. 2020 [Dataset]. https://www.statista.com/statistics/1155846/most-common-data-exfiltration-insider-threat-types-usa/
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    Dataset updated
    Jul 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2020
    Area covered
    United States
    Description

    A 2020 study revealed that e-mail forwarding to a personal e-mail account was the most common method of sensitive data exfiltration during insider incidents. Misuse of cloud collaboration privileges was ranked second with a ***** percent occurrence rate.

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Structured Disclosure (2025). Insider Transactions Data Sets [Dataset]. https://catalog.data.gov/dataset/insider-transactions-data-sets

Insider Transactions Data Sets

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Dataset updated
Apr 8, 2025
Dataset provided by
Structured Disclosure
Description

Under Section 16 of the Securities Exchange Act of 1934, senior executives, directors, and large-block shareholders are required to make ongoing filings about their company stock holdings to report any changes. These filings are made on Form 3, Form 4, and Form 5 and submitted to SECs Electronic Data Gathering, Analysis, and Retrieval (EDGAR) system.

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