100+ datasets found
  1. Annual number of complaints about internet crime 2000-2023

    • statista.com
    Updated Aug 14, 2024
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    Ani Petrosyan (2024). Annual number of complaints about internet crime 2000-2023 [Dataset]. https://www.statista.com/topics/11020/online-fraud-in-the-united-states/?
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    Dataset updated
    Aug 14, 2024
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Ani Petrosyan
    Description

    The annual number of complaints of cybercrime received annually on the U.S. Internet Crime Complaint Center (IC3) website increased significantly between 2000 and 2023. The center received over 880 thousand complaints in the most recently reported year.

  2. Nature of crime: fraud and computer misuse

    • ons.gov.uk
    • cy.ons.gov.uk
    xlsx
    Updated Apr 8, 2025
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    Office for National Statistics (2025). Nature of crime: fraud and computer misuse [Dataset]. https://www.ons.gov.uk/peoplepopulationandcommunity/crimeandjustice/datasets/natureofcrimefraudandcomputermisuse
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    xlsxAvailable download formats
    Dataset updated
    Apr 8, 2025
    Dataset provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Description

    Annual data on the nature of fraud and computer misuse offences. Data for the year ending March 2021 and March 2022 are from the Telephone-operated Crime Survey for England and Wales (TCSEW).

  3. U.S. cybercrime victims 2023, by age

    • statista.com
    Updated Aug 14, 2024
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    Ani Petrosyan (2024). U.S. cybercrime victims 2023, by age [Dataset]. https://www.statista.com/topics/11020/online-fraud-in-the-united-states/?
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    Dataset updated
    Aug 14, 2024
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Ani Petrosyan
    Description

    In 2023, individuals over the age of 60 accounted for the highest number of recorded cyber crime victims in the United States. According to the latest data, more than 104,068 people reported cyber crimes in the year examined. The second-most targeted were individuals between 30 and 39 years, with over 88 thousand complaints.

  4. Crime in England and Wales: Additional tables on fraud and cybercrime

    • ons.gov.uk
    xlsx
    Updated Apr 25, 2019
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    Office for National Statistics (2019). Crime in England and Wales: Additional tables on fraud and cybercrime [Dataset]. https://www.ons.gov.uk/peoplepopulationandcommunity/crimeandjustice/datasets/crimeinenglandandwalesexperimentaltables
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    xlsxAvailable download formats
    Dataset updated
    Apr 25, 2019
    Dataset provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Description

    Estimates from Crime Survey for England and Wales (CSEW) on fraud and computer misuse. Also data from Home Office police recorded crime on the number of online offences recorded by the police and Action Fraud figures broken down by police force area.

    These tables were formerly known as Experimental tables.

    Please note: This set of tables are no longer produced. All content previously released within these tables has, or will be, redistributed among other sets of tables.

  5. E-commerce payment fraud losses worldwide 2020-2024, with a 2029 forecast

    • statista.com
    Updated May 15, 2025
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    Statista (2025). E-commerce payment fraud losses worldwide 2020-2024, with a 2029 forecast [Dataset]. https://www.statista.com/statistics/1273177/ecommerce-payment-fraud-losses-globally/
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    Dataset updated
    May 15, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    Worldwide
    Description

    According to estimates, e-commerce losses to online payment fraud surpassed **** billion U.S. dollars globally in 2024. The figure was expected to grow further to over *** billion U.S. dollars by 2029. Rise in e-commerce fraud E-commerce fraud presents a complex challenge, with different regions experiencing varying levels of impact. Latin America reported the highest share of loss at *** percent of e-commerce revenue due to payment fraud, while the Asia-Pacific region fared slightly better at *** percent. In 2024, refund and policy abuse emerged as the most prevalent type of fraud, affecting nearly half of online merchants worldwide. This was closely followed by real-time payment fraud and phishing attacks, highlighting the diverse array of threats businesses must contend with. Financial impact on merchants The financial toll of e-commerce fraud on merchants is substantial. The magnitude of these losses is emphasized by a 2024 survey, which found that approximately ** percent of e-merchants reported fraud-related costs of at least ** million U.S. dollars annually. More alarmingly, over ** percent of companies estimated their annual losses at more than ** million U.S. dollars, underscoring the urgent need for robust fraud prevention strategies in the e-commerce sector. Additionally, small and medium-sized businesses reported losing *** percent of their annual e-commerce revenue to payment fraud, illustrating that companies of all sizes are vulnerable to these threats.

  6. Online Fraud Detection Market Report | Global Forecast From 2025 To 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Jan 7, 2025
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    Dataintelo (2025). Online Fraud Detection Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/online-fraud-detection-market
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    csv, pptx, pdfAvailable 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

    Online Fraud Detection Market Outlook



    The global online fraud detection market size was valued at USD 3.5 billion in 2023 and is projected to reach USD 10.5 billion by 2032, growing at a compound annual growth rate (CAGR) of 13.2%. This impressive growth is driven by the increasing sophistication of cyber-attacks and the rising adoption of digital payment methods, which demand robust security solutions.



    The primary growth factor for the online fraud detection market is the escalating frequency and complexity of cyber-attacks. As businesses and consumers increasingly conduct transactions online, fraudsters have developed more sophisticated methods to exploit system vulnerabilities. This has created a pressing need for advanced fraud detection solutions that can identify and mitigate such threats in real-time. Additionally, regulatory mandates are compelling organizations to implement stringent security measures, further fueling market growth.



    Another significant growth driver is the rapid digitization across various sectors, including banking, financial services, and insurance (BFSI), retail, and healthcare. As these industries embrace digital transformation, the volume of online transactions has surged, making them prime targets for cyber fraud. Consequently, there is an increasing investment in fraud detection technologies to safeguard sensitive information and maintain customer trust. Moreover, the integration of artificial intelligence (AI) and machine learning (ML) in fraud detection systems has enhanced their capability to predict and prevent fraudulent activities efficiently.



    The rising awareness among consumers about the potential risks associated with online transactions is also contributing to market growth. As individuals become more informed about the dangers of cyber fraud, there is a heightened demand for secure online payment systems. Businesses are responding to this demand by incorporating advanced fraud detection tools into their platforms to provide a secure and seamless user experience. Furthermore, the emergence of e-commerce and m-commerce has necessitated the adoption of robust fraud prevention measures to protect both buyers and sellers.



    Anomaly Detection Solution plays a crucial role in the online fraud detection market by providing advanced tools to identify unusual patterns and activities that could indicate fraudulent behavior. These solutions utilize sophisticated algorithms and machine learning techniques to analyze vast amounts of data in real-time, enabling businesses to detect anomalies that may otherwise go unnoticed. By integrating anomaly detection into their security frameworks, organizations can enhance their ability to identify potential threats early and take proactive measures to prevent fraud. This not only helps in safeguarding sensitive information but also in maintaining customer trust and ensuring compliance with regulatory requirements. As the complexity of cyber threats continues to evolve, the demand for robust anomaly detection solutions is expected to rise, driving further growth in the market.



    Regionally, North America dominates the online fraud detection market due to the high adoption rate of digital payment methods and the presence of major technology providers. The region's strong regulatory framework and focus on cybersecurity also play a crucial role in driving market growth. Meanwhile, the Asia Pacific region is expected to witness the highest growth rate during the forecast period, fueled by the rapid expansion of the e-commerce sector and increasing internet penetration. Europe remains a significant market, driven by stringent data protection regulations and substantial investments in cybersecurity solutions.



    Component Analysis



    The online fraud detection market is segmented into software and services based on components. The software segment comprises various solutions such as fraud analytics, authentication, and fraud management, which are designed to detect and prevent fraudulent activities. The continuous evolution of cyber threats has necessitated the development of sophisticated software solutions capable of analyzing vast amounts of data in real-time to identify anomalies and potential fraud. These solutions leverage AI and ML algorithms to enhance their detection accuracy and response time.



    In addition to software solutions, the services segment plays a vital role in the online fraud detection market. Services such as con

  7. Cost of cyber fraud India FY 2020-2024

    • statista.com
    Updated Jun 23, 2025
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    Statista (2025). Cost of cyber fraud India FY 2020-2024 [Dataset]. https://www.statista.com/statistics/1499770/india-cyber-fraud-losses/
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    Dataset updated
    Jun 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    India
    Description

    The losses incurred due to cyber fraud activity in India spiked to over *** billion Indian rupees in the financial year 2024. These were particularly attributed to credit card, debit card, and internet banking fraud. Cyber criminal activity in India has grown at an alarming rate over the past few years, with over ******* cases reported between January and April 2024 alone.

  8. Inclusive Indian Fraud Dataset

    • kaggle.com
    Updated Apr 24, 2024
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    Kumar Periya (2024). Inclusive Indian Fraud Dataset [Dataset]. https://www.kaggle.com/datasets/kumarperiya/comprehensive-indian-online-fraud-dataset
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Apr 24, 2024
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Kumar Periya
    License

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

    Description

    Welcome to the "Comprehensive Indian Online Fraud Dataset", a meticulously curated resource designed to drive the development of sophisticated analytical models that can detect and predict online fraud across India. This dataset provides a snapshot of fraudulent activities, making it an invaluable asset for data scientists focusing on cybersecurity.

    Content:

    The dataset encompasses over 1,200 entries detailing various aspects of fraudulent transactions, including:

    Transaction IDs and Customer IDs: Unique identifiers for transactions and customers. Merchant IDs: Identifiers for merchants involved in the transactions. Transaction Amounts: The monetary values of the transactions. Transaction Time: Timestamps of each transaction. Card Types: Including Visa, MasterCard, and Rupay. Locations: Focused on major Indian cities. Fraud Types: Categorized into phishing, scam, malware, identity theft, and payment card fraud. Purchase Categories and Ages of customers involved. Transaction Descriptions: Detailed narratives of the transactions. Our objective is to foster a collaborative environment where Kagglers can explore and model this data, sharing insights and methodologies to improve fraud detection systems. By dissecting this dataset, we hope to contribute to safer online transactions and a better understanding of digital fraud dynamics in India.

  9. Online Fraud Detection Market By Fraud Type (credit/debit card frauds,...

    • verifiedmarketresearch.com
    Updated May 25, 2024
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    VERIFIED MARKET RESEARCH (2024). Online Fraud Detection Market By Fraud Type (credit/debit card frauds, Identity theft, cheque frauds), Application (Banking, Insurance) & Region for 2024-2031 [Dataset]. https://www.verifiedmarketresearch.com/product/online-fraud-detection-market/
    Explore at:
    Dataset updated
    May 25, 2024
    Dataset provided by
    Verified Market Researchhttps://www.verifiedmarketresearch.com/
    Authors
    VERIFIED MARKET RESEARCH
    License

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

    Time period covered
    2024 - 2031
    Area covered
    Global
    Description

    Online Fraud Detection Market size was valued at USD 45.6 Billion in 2024 and is projected to reach USD 254.93 Billion by 2031, growing at a CAGR of 24.2% from 2024 to 2031.

    The Online Fraud Detection Market is driven by the escalating incidence of cyber fraud and financial crimes, which are prompting organizations to adopt advanced fraud detection solutions. The increasing sophistication of cyber-attacks, including phishing, identity theft, and account takeovers, necessitates robust fraud prevention mechanisms. The proliferation of digital transactions and the growth of e-commerce further heighten the need for effective fraud detection systems. Regulatory requirements and compliance mandates are also pushing companies to implement stringent fraud detection and prevention measures. Technological advancements in artificial intelligence, machine learning, and big data analytics are enhancing the accuracy and efficiency of fraud detection systems, making them more capable of identifying and mitigating fraudulent activities in real-time. Additionally, the rise in mobile banking and the expanding digital economy are contributing to the increased demand for online fraud detection solutions.

  10. Nature of fraud and computer misuse in England and Wales: appendix tables

    • ons.gov.uk
    • cy.ons.gov.uk
    xlsx
    Updated Nov 6, 2024
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    Office for National Statistics (2024). Nature of fraud and computer misuse in England and Wales: appendix tables [Dataset]. https://www.ons.gov.uk/peoplepopulationandcommunity/crimeandjustice/datasets/natureoffraudandcomputermisuseinenglandandwalesappendixtables
    Explore at:
    xlsxAvailable download formats
    Dataset updated
    Nov 6, 2024
    Dataset provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Description

    Data from the Crime Survey for England and Wales (CSEW) and the National Fraud Intelligence Bureau (NFIB), including numbers of incidents and characteristics of victims.

  11. Online fraud among internet users in Sweden 2022, by type

    • statista.com
    • ai-chatbox.pro
    Updated Jun 19, 2024
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    Statista (2024). Online fraud among internet users in Sweden 2022, by type [Dataset]. https://www.statista.com/statistics/1195039/online-fraud-among-internet-users-in-sweden-by-type/
    Explore at:
    Dataset updated
    Jun 19, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2022
    Area covered
    Sweden
    Description

    In 2022, 59 percent of internet users in Sweden had experienced an online fraud attempt. Another share of 55 percent reported having received scam e-mails. Additionally, the percentage of users who encountered fake customer support during the measured period was 12 percent.

  12. d

    Cyber Crimes from NCRB - Master Data: Year- and State-wise Types of Cyber...

    • dataful.in
    Updated May 12, 2025
    + more versions
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    Dataful (Factly) (2025). Cyber Crimes from NCRB - Master Data: Year- and State-wise Types of Cyber Crimes committed in Violation of IPC [Dataset]. https://dataful.in/datasets/19641
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    csv, application/x-parquet, xlsxAvailable download formats
    Dataset updated
    May 12, 2025
    Dataset authored and provided by
    Dataful (Factly)
    License

    https://dataful.in/terms-and-conditionshttps://dataful.in/terms-and-conditions

    Area covered
    States of India
    Variables measured
    Cyber Crimes under IPC
    Description

    The datasert contains year- and state-wise historiclally compiled data on the number of cyber crimes committed in violation of Indian Penal Code (IPC). The different types of cyber crimes covered in the dataset include Abetment of Suicide - Online, Cyber Stalking or Bullying of Women or Children, Data theft, Cheating, Forgery, Defamation or Morphing (IPC r/w Indecent Representation of Women Act), Fake Profile (IPC r/w SLL), Counterfeiting, Cyber Blackmailing or Threatening, Fake News on Social Media, Other Offences (r/w IT Act), Fabrication of False Evidence/Destruction of Electronic Records for, Evidence, Offences By or Against Public Servant, False Electronic Evidence, Destruction of Electronic Evidence, Crimes of Property or Mark such as Counterfeiting, Tampering, Currency or Stamps, Crimes of Fraud such as Crimes related to Credit or Debit Card, Any Time Machines (ATMs), Online Banking Fraud, OTP Frauds, Crimes of Criminal Breach of Trust or Fraud such as crimes of Credit or Debit card, Crimes of Counterfeiting of Currecy, Stamps and Tampering, etc.

  13. Fraud Detection And Prevention Market Analysis North America, Europe, APAC,...

    • technavio.com
    Updated Aug 15, 2024
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    Technavio (2024). Fraud Detection And Prevention Market Analysis North America, Europe, APAC, South America, Middle East and Africa - US, UK, Germany, China, Japan - Size and Forecast 2024-2028 [Dataset]. https://www.technavio.com/report/fraud-detection-and-prevention-market-analysis
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    Dataset updated
    Aug 15, 2024
    Dataset provided by
    TechNavio
    Authors
    Technavio
    Time period covered
    2021 - 2025
    Area covered
    Global, United States
    Description

    Snapshot img

    Fraud Detection And Prevention Market Size 2024-2028

    The fraud detection and prevention market size is forecast to increase by USD 86.68 billion at a CAGR of 27.17% between 2023 and 2028.

    In the current business landscape, the market is experiencing significant growth due to several key factors. The increasing adoption of cloud infrastructure services, such as cloud computing and big data, is driving market expansion. These technologies enable organizations to store and process large volumes of data, which is essential for advanced fraud detection techniques like anomaly detection. Moreover, the healthcare services sector is increasingly relying on fraud detection solutions to safeguard sensitive patient data. In addition, the rise of business intelligence (BI) and machine-to-machine (M2M) services is leading to an increased need for robust fraud prevention measures. Phone-based authentication solutions are also gaining popularity as an effective method for securing user identities and preventing fraud. The technological advancement in fraud detection and prevention solutions and services, coupled with the complexity of IT infrastructure, is further fueling market growth.
    

    What will be the Size of the Fraud Detection And Prevention Market During the Forecast Period?

    Request Free Sample

    The market encompasses a range of solutions designed to safeguard businesses and organizations from various types of financial and data breaches. Key end-use industries, including healthcare, manufacturing, governments, and IT , business intelligence and telecom, among others, increasingly rely on advanced technologies to mitigate risks. Market dynamics are driven by the growing adoption of cloud-based solutions, big data analytics, and blockchain technology. These innovations enable real-time fraud detection, enhancing the ability to prevent incidents such as payment fraud, identity theft, phishing scams, and money laundering. 
    SMEs and large enterprises across sectors like travel and transportation, energy and utilities, media and entertainment, professional services, and insurance claims face similar challenges, making the market expansive and diverse. Authentication solutions, real-time fraud detection, and managed services are integral components of the market, catering to the evolving needs of businesses in an increasingly digital world.
    

    How is this Fraud Detection And Prevention Industry segmented and which is the largest segment?

    The fraud detection and prevention industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.

    Component
    
      Solutions
      Services
    
    
    End-user
    
      Large enterprise
      SMEs
    
    
    Geography
    
      North America
    
        US
        Canada
    
    
      Europe
    
        Germany
        Spain
        UK
    
    
      APAC
    
        China
        Japan
        India
    
    
      South America
    
        South Africa
    
    
      Middle East and Africa
    

    By Component Insights

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

    The market is experiencing significant growth due to escalating cyber threats and the increasing need for robust security measures. Key drivers include the rising number of fraudulent activities such as identity theft, money laundering, and phishing scams, as well as economic uncertainty and the pandemic. In the solutions segment, authentication solutions have emerged as a major revenue generator. However, the high cost of biometric technology may hinder growth in this area. SMEs, healthcare, manufacturing, end-use enterprises, governments, IT and telecom, travel and transportation, energy and utilities, media and entertainment, and financial institutions are among the key industries investing in fraud detection and prevention. Digital technologies, including cloud-based solutions, Big Data, artificial intelligence, and machine learning, are increasingly being adopted for real-time fraud detection. Fraud complexity and online data transactions pose significant challenges, necessitating proactive measures and trained cybersecurity professionals.

    Get a glance at the Fraud Detection And Prevention Industry report of share of various segments Request Free Sample

    The Solutions segment was valued at USD 11.84 billion in 2018 and showed a gradual increase during the forecast period.

    Regional Analysis

    North America is estimated to contribute 40% to the growth of the global market during the forecast period.
    

    Technavio's analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period.

    For more insights on the market share of various regions, Request Free Sample

    The North American the market is projected to expand substantially due to the increasing prevalence of cyber threats in sectors like healthcare

  14. O

    Online Fraud Detection Software Report

    • marketresearchforecast.com
    doc, pdf, ppt
    Updated Mar 17, 2025
    + more versions
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    Market Research Forecast (2025). Online Fraud Detection Software Report [Dataset]. https://www.marketresearchforecast.com/reports/online-fraud-detection-software-38822
    Explore at:
    doc, ppt, pdfAvailable download formats
    Dataset updated
    Mar 17, 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 online fraud detection software market is experiencing robust growth, driven by the escalating incidence of online financial and identity fraud alongside the expanding e-commerce landscape. The market's compound annual growth rate (CAGR) is estimated to be around 15% between 2025 and 2033, indicating a significant expansion in market size from an estimated $15 billion in 2025 to approximately $40 billion by 2033. This growth is fueled by several key factors, including the increasing adoption of cloud-based solutions offering scalability and cost-effectiveness, the rising preference for advanced analytics and AI-powered fraud detection systems, and the growing regulatory pressure on businesses to enhance their fraud prevention measures. The market is segmented by deployment (cloud-based and on-premises) and user size (large, medium, and small enterprises), with cloud-based solutions dominating due to their flexibility and accessibility. Large enterprises currently represent the largest segment, but growth within the small and medium-sized enterprise (SME) sector is expected to be particularly strong as these businesses increasingly adopt online transaction platforms and face rising fraud risks. Geographical growth is diverse, with North America and Europe maintaining strong market shares, while Asia-Pacific is anticipated to exhibit significant growth driven by burgeoning e-commerce adoption and increasing internet penetration rates. The competitive landscape is characterized by a mix of established players like IBM and TransUnion, along with specialized vendors such as Kaspersky, Signifyd, and Forter. These companies are actively investing in R&D to enhance their offerings, incorporating innovative techniques like machine learning and behavioral biometrics to improve fraud detection accuracy and speed. The market's future growth will be significantly influenced by factors like evolving fraud techniques, technological advancements in AI and machine learning, and the growing demand for integrated fraud detection solutions that can seamlessly combine different data sources and analytical methods. Stringent data privacy regulations will also play a critical role, shaping the development and adoption of solutions that prioritize data security and compliance. Companies focusing on enhancing the accuracy and speed of fraud detection, while simultaneously ensuring data privacy and compliance, will be best positioned to succeed in this expanding market.

  15. Online Payment Fraud Detection Market Report | Global Forecast From 2025 To...

    • dataintelo.com
    csv, pdf, pptx
    Updated Jan 7, 2025
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    Dataintelo (2025). Online Payment Fraud Detection Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/online-payment-fraud-detection-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

    Online Payment Fraud Detection Market Outlook



    The global online payment fraud detection market size was valued at USD 3.7 billion in 2023 and is projected to reach approximately USD 14.1 billion by 2032, growing at a robust CAGR of 16.2% during the forecast period. The rapid growth of e-commerce, increased digital transactions, and the rising sophistication of cyber-attacks are key factors driving the market's expansion. The market has seen significant growth owing to the necessity for secure online payment solutions to protect against fraud.



    A critical growth factor for the online payment fraud detection market is the burgeoning volume of online transactions. With the proliferation of e-commerce platforms and online financial services, the sheer number of digital payments has skyrocketed. This surge in online transactions has inevitably led to an increase in fraud attempts, necessitating advanced fraud detection systems. Financial institutions and vendors are increasingly investing in robust fraud detection solutions to safeguard their operations and customer data, thereby propelling the market forward.



    Another significant driver is the technological advancement in fraud detection methods. The adoption of artificial intelligence (AI), machine learning (ML), and big data analytics has revolutionized the way online payment fraud is detected and prevented. These technologies offer real-time monitoring and predictive analytics, enabling organizations to identify and mitigate fraudulent activities proactively. The continuous evolution of these technologies promises further advancements, making fraud detection systems more efficient and reliable.



    Regulatory requirements and compliance standards are also contributing to market growth. Governments and regulatory bodies worldwide are implementing stringent guidelines to ensure the security of digital transactions. Compliance with these regulations necessitates the adoption of advanced fraud detection systems. For instance, the European Union's Revised Payment Services Directive (PSD2) mandates strong customer authentication for online payments, thereby fostering the demand for sophisticated fraud detection solutions.



    Account Takeover Fraud Detection Software plays a pivotal role in the evolving landscape of online payment security. As cybercriminals become more adept at exploiting vulnerabilities, businesses are increasingly turning to specialized software to detect and prevent unauthorized access to user accounts. This type of fraud detection software employs advanced algorithms and machine learning techniques to monitor user behavior and identify anomalies that may indicate account takeover attempts. By analyzing login patterns, device information, and transaction history, these solutions can effectively flag suspicious activities and prevent unauthorized access. The integration of such software into existing security frameworks is crucial for businesses aiming to protect their customers' accounts and maintain trust in their digital platforms.



    The regional outlook for the online payment fraud detection market suggests a varied growth pattern. North America currently holds the largest market share due to the high adoption rate of digital payments and stringent regulatory landscape. Europe follows closely, driven by compliance requirements and the proliferation of online transactions. The Asia Pacific region is anticipated to witness the fastest growth, fueled by the rapid expansion of e-commerce and increasing digitalization in emerging economies. In contrast, regions like Latin America and the Middle East & Africa are gradually catching up, with growing awareness and investments in fraud detection technologies.



    Component Analysis



    The online payment fraud detection market is segmented by components into software and services. The software segment dominates the market, accounting for the lion's share of revenue. This segment includes various solutions such as fraud analytics, biometric authentication, and transaction screening. The continuous innovation in software tools to identify and prevent fraudulent activities is a significant driver for this segment. Companies are investing heavily in developing AI and ML-based software tools that offer real-time detection and response to fraud attempts.



    The software segment's growth is further propelled by the increasing demand for integrated fraud detection solutio

  16. O

    Online Fraud Protection Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated May 8, 2025
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    Data Insights Market (2025). Online Fraud Protection Report [Dataset]. https://www.datainsightsmarket.com/reports/online-fraud-protection-1440373
    Explore at:
    doc, pdf, pptAvailable download formats
    Dataset updated
    May 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
    Global
    Variables measured
    Market Size
    Description

    The online fraud protection market is experiencing robust growth, driven by the increasing sophistication of cybercrime and the expanding digital economy. The market, estimated at $15 billion in 2025, is projected to witness a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033, reaching an estimated $45 billion by 2033. This expansion is fueled by several key factors. The rising adoption of e-commerce and online banking creates more opportunities for fraudulent activities, demanding robust protection measures. Furthermore, the increasing frequency and severity of data breaches are prompting both consumers and enterprises to invest heavily in fraud prevention solutions. The market is segmented by application (consumer and enterprise) and type (credit monitoring, identity monitoring, and others). The consumer segment currently holds a larger market share, but the enterprise segment is anticipated to exhibit faster growth due to the rising need for robust security infrastructure in businesses. Key players in this market include established names like NortonLifeLock, Experian, Equifax, and TransUnion, along with emerging technology providers specializing in AI-powered fraud detection. Regional variations exist, with North America and Europe currently dominating the market share, but significant growth is expected from Asia-Pacific regions like India and China as their digital economies mature. However, the market faces challenges such as the rising cost of advanced fraud detection technologies and the evolving nature of cyber threats, requiring continuous innovation to stay ahead of the curve. The competitive landscape is dynamic, with both established players and innovative startups vying for market share. The increasing adoption of artificial intelligence (AI) and machine learning (ML) technologies is transforming the fraud detection landscape, leading to more effective and proactive solutions. This technological advancement is driving the development of more sophisticated and personalized fraud protection services, catering to the specific needs of different customer segments. Regulatory changes and increasing consumer awareness of data privacy are also shaping the market. Companies are focusing on compliance with data protection regulations and building trust with their customers through transparent data handling practices. This coupled with the ongoing need for enhanced security measures, even with evolving fraudulent techniques, reinforces the long-term growth potential of this critical sector.

  17. Italy: victims of online fraud 2022, by age and gender

    • ai-chatbox.pro
    • statista.com
    Updated May 16, 2024
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    Statista (2024). Italy: victims of online fraud 2022, by age and gender [Dataset]. https://www.ai-chatbox.pro/?_=%2Fstatistics%2F1465948%2Fonline-fraud-victims-by-age-and-gender%2F%23XgboD02vawLZsmJjSPEePEUG%2FVFd%2Bik%3D
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    Dataset updated
    May 16, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2022
    Area covered
    Italy
    Description

    In 2022, approximately 29,000 men aged between 45 and 54 years in Italy were victims of online swindles and cyber fraud. Women of the same age that fell victim to online fraud and internet scams were 23,347 in 2022. In comparison, approximately 850 teenagers between 14 and 17 years were victim of cyber fraud and online swindlers. Approximately across all age demographics, men and male kids were more likely to fall victim to online fraud in the last examined period.

  18. Financial Anti Fraud Software Market Report | Global Forecast From 2025 To...

    • dataintelo.com
    csv, pdf, pptx
    Updated Jan 7, 2025
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    Dataintelo (2025). Financial Anti Fraud Software Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/financial-anti-fraud-software-market
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    pptx, pdf, 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

    Financial Anti-Fraud Software Market Outlook



    The global financial anti-fraud software market size was valued at USD 6.5 billion in 2023 and is projected to reach USD 15.8 billion by 2032, growing at a CAGR of 10.4% during the forecast period. The market is expected to witness significant growth driven by the increasing sophistication of cyber-attacks and the rising need for robust fraud detection mechanisms. Factors such as the rising digitization of financial transactions and stringent regulatory requirements are also contributing to the market's expansion.



    One of the primary growth factors for the financial anti-fraud software market is the increasing sophistication of cyber-attacks. As cybercriminals employ more advanced techniques, organizations are compelled to adopt equally advanced systems to detect and prevent fraudulent activities. The use of artificial intelligence (AI) and machine learning (ML) in these software solutions has enabled real-time analysis and detection of anomalies, making it more difficult for fraudsters to succeed. Moreover, as financial institutions increasingly rely on digital channels, the exposure to potential security breaches has surged, necessitating advanced anti-fraud measures.



    Another significant growth factor is the regulatory environment. Governments and regulatory bodies worldwide are implementing stringent policies to ensure the security of financial transactions. Compliance with these regulations requires financial institutions to adopt robust anti-fraud solutions. For instance, regulations like the General Data Protection Regulation (GDPR) in Europe and the Payment Card Industry Data Security Standard (PCI DSS) mandate rigorous data protection measures, which, in turn, drives the demand for advanced fraud detection software. The need for compliance not only mitigates risks but also builds customer trust.



    Additionally, the rising digitization of financial services is a substantial growth driver. The shift from traditional banking methods to digital platforms has led to an increase in online transactions. While this transition offers convenience and efficiency, it also opens up new avenues for fraud. Financial institutions are investing heavily in anti-fraud software to safeguard their digital platforms. This includes mobile banking, online transactions, and even cryptocurrency exchanges. As digital financial activities continue to grow, the market for anti-fraud solutions is expected to expand correspondingly.



    Fraud Risk Management Services play a crucial role in the financial sector by providing a comprehensive approach to identifying, assessing, and mitigating fraud risks. These services encompass a range of activities, including fraud risk assessments, the development of anti-fraud strategies, and the implementation of robust controls to prevent fraudulent activities. By leveraging data analytics and advanced technologies, fraud risk management services enable financial institutions to proactively detect and respond to potential threats. This proactive approach not only helps in minimizing financial losses but also enhances the overall security posture of organizations. As the financial landscape continues to evolve, the demand for specialized fraud risk management services is expected to rise, driven by the increasing complexity of fraud schemes and the need for compliance with regulatory requirements.



    On the regional front, North America currently holds the largest market share, driven by the high adoption rate of advanced technologies and stringent regulatory requirements. However, the Asia Pacific region is anticipated to witness the highest growth rate during the forecast period. Factors such as the rapid digitization of financial services, increasing internet penetration, and growing awareness about financial fraud are contributing to this growth. Countries like China and India are expected to be major contributors due to their large population base and increasing adoption of digital financial services.



    Component Analysis



    The financial anti-fraud software market can be segmented by component into software and services. The software segment holds the largest market share due to the increasing adoption of advanced fraud detection technologies by financial institutions. These software solutions incorporate advanced analytics, machine learning algorithms, and artificial intelligence to provide real-time fraud detection and prevention. Companies are continually investing in R&D to e

  19. Reported cases of fraud, by age of victims U.S. 2022

    • statista.com
    Updated Jul 5, 2024
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    Statista (2024). Reported cases of fraud, by age of victims U.S. 2022 [Dataset]. https://www.statista.com/statistics/587388/fraud-complaints-victims-age-in-the-us/
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    Dataset updated
    Jul 5, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2022
    Area covered
    United States
    Description

    In 2022, the most commonly targeted age group by fraudsters was people ages 30 to 39, among whom 205,154 cases of fraud were reported to the Federal Trade Commission (FTC) in the United States. People aged 60 to 69 were the second most commonly targeted group, with 200,216 reports of fraud in the same year.

  20. Online Fraud Protection Market Report | Global Forecast From 2025 To 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Jan 7, 2025
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    Dataintelo (2025). Online Fraud Protection Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/online-fraud-protection-market
    Explore at:
    csv, pptx, pdfAvailable 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

    Online Fraud Protection Market Outlook



    The global online fraud protection market size was valued at USD 22.5 billion in 2023 and is projected to reach approximately USD 67.4 billion by 2032, growing at a CAGR of 12.8% during the forecast period. This significant growth is driven by the escalating sophistication of cyber threats and the increasing volume of online transactions, which drive the necessity for advanced fraud protection solutions across various industries.



    One of the primary growth factors for the online fraud protection market is the rapid increase in digital transactions. As businesses and consumers increasingly rely on digital platforms for financial transactions, the risk of fraudulent activities has surged, necessitating robust fraud protection solutions. The proliferation of e-commerce and online banking has further underscored the need for advanced security measures to safeguard sensitive financial information. Moreover, the advancement in payment technologies, such as mobile wallets and contactless payments, has catalyzed the demand for comprehensive fraud protection systems.



    Another significant growth driver is the stringent regulatory environment. Governments and regulatory bodies worldwide are implementing rigorous data protection laws and regulations to combat online fraud. Compliance with these regulations necessitates the adoption of sophisticated fraud protection solutions by organizations across various sectors. Regulations like the General Data Protection Regulation (GDPR) in Europe and the Payment Card Industry Data Security Standard (PCI DSS) have compelled companies to prioritize data security and fraud prevention, further propelling market growth. Additionally, the rising awareness among consumers regarding data breaches and identity theft is pushing organizations to invest in advanced fraud protection technologies.



    Technological advancements in artificial intelligence (AI) and machine learning (ML) are also pivotal in driving the growth of the online fraud protection market. AI and ML technologies enable real-time detection and prevention of fraudulent activities by analyzing patterns and anomalies in transaction data. These technologies enhance the accuracy and efficiency of fraud detection systems, reducing false positives and enabling quicker responses to potential threats. Furthermore, the integration of blockchain technology in fraud protection solutions is emerging as a promising trend, offering enhanced transparency and security in transaction processes.



    In the face of rising digital threats, Identity Theft Protection Services have become an essential component of comprehensive fraud prevention strategies. These services are designed to safeguard individuals and organizations from the growing menace of identity theft, which can lead to significant financial losses and reputational damage. By employing advanced technologies such as biometric authentication, real-time monitoring, and AI-driven alerts, identity theft protection services provide a robust defense against unauthorized access to personal and financial information. As consumers become more aware of the risks associated with identity theft, the demand for these services is expected to rise, prompting businesses to integrate them into their overall security frameworks. This integration not only enhances customer trust but also ensures compliance with stringent data protection regulations, further driving the growth of the online fraud protection market.



    The regional outlook reveals that North America holds a dominant share in the online fraud protection market, primarily due to the high adoption rate of advanced technologies and the presence of major market players in the region. The Asia Pacific region is anticipated to witness substantial growth during the forecast period, driven by the rapid digital transformation and increasing internet penetration. The rising number of small and medium enterprises (SMEs) in developing countries within the Asia Pacific is also contributing to the demand for fraud protection solutions. Europe and Latin America are also expected to register significant growth, supported by stringent regulatory frameworks and increasing investments in cybersecurity infrastructure.



    Component Analysis



    The online fraud protection market is segmented into solutions and services based on components. Solutions encompass a wide array of technologies designed to detect and prevent fraudulent activities in real-time. These inc

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Ani Petrosyan (2024). Annual number of complaints about internet crime 2000-2023 [Dataset]. https://www.statista.com/topics/11020/online-fraud-in-the-united-states/?
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Annual number of complaints about internet crime 2000-2023

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Dataset updated
Aug 14, 2024
Dataset provided by
Statistahttp://statista.com/
Authors
Ani Petrosyan
Description

The annual number of complaints of cybercrime received annually on the U.S. Internet Crime Complaint Center (IC3) website increased significantly between 2000 and 2023. The center received over 880 thousand complaints in the most recently reported year.

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