Between the first quarter of 2023 and the third quarter of 2024, the number of records exposed in data breaches in the United States decreased significantly. In the most recent measured period, over 93.7 million records were reported as leaked, down from around 116 million in the previous quarter.

In 2024, the number of data compromises in the United States stood at 3,158 cases. Meanwhile, over 1.35 billion individuals were affected in the same year by data compromises, including data breaches, leakage, and exposure. While these are three different events, they have one thing in common. As a result of all three incidents, the sensitive data is accessed by an unauthorized threat actor. Industries most vulnerable to data breaches Some industry sectors usually see more significant cases of private data violations than others. This is determined by the type and volume of the personal information organizations of these sectors store. In 2024 the financial services, healthcare, and professional services were the three industry sectors that recorded most data breaches. Overall, the number of healthcare data breaches in some industry sectors in the United States has gradually increased within the past few years. However, some sectors saw decrease. Largest data exposures worldwide In 2020, an adult streaming website, CAM4, experienced a leakage of nearly 11 billion records. This, by far, is the most extensive reported data leakage. This case, though, is unique because cyber security researchers found the vulnerability before the cyber criminals. The second-largest data breach is the Yahoo data breach, dating back to 2013. The company first reported about one billion exposed records, then later, in 2017, came up with an updated number of leaked records, which was three billion. In March 2018, the third biggest data breach happened, involving India’s national identification database Aadhaar. As a result of this incident, over 1.1 billion records were exposed.

During the third quarter of 2024, data breaches exposed more than *** million records worldwide. Since the first quarter of 2020, the highest number of data records were exposed in the first quarter of ***, more than *** million data sets. Data breaches remain among the biggest concerns of company leaders worldwide. The most common causes of sensitive information loss were operating system vulnerabilities on endpoint devices. Which industries see the most data breaches? Meanwhile, certain conditions make some industry sectors more prone to data breaches than others. According to the latest observations, the public administration experienced the highest number of data breaches between 2021 and 2022. The industry saw *** reported data breach incidents with confirmed data loss. The second were financial institutions, with *** data breach cases, followed by healthcare providers. Data breach cost Data breach incidents have various consequences, the most common impact being financial losses and business disruptions. As of 2023, the average data breach cost across businesses worldwide was **** million U.S. dollars. Meanwhile, a leaked data record cost about *** U.S. dollars. The United States saw the highest average breach cost globally, at **** million U.S. dollars.

The largest reported data leakage as of January 2025 was the Cam4 data breach in March 2020, which exposed more than 10 billion data records. The second-largest data breach in history so far, the Yahoo data breach, occurred in 2013. The company initially reported about one billion exposed data records, but after an investigation, the company updated the number, revealing that three billion accounts were affected. The National Public Data Breach was announced in August 2024. The incident became public when personally identifiable information of individuals became available for sale on the dark web. Overall, the security professionals estimate the leakage of nearly three billion personal records. The next significant data leakage was the March 2018 security breach of India's national ID database, Aadhaar, with over 1.1 billion records exposed. This included biometric information such as identification numbers and fingerprint scans, which could be used to open bank accounts and receive financial aid, among other government services.

Cybercrime - the dark side of digitalization As the world continues its journey into the digital age, corporations and governments across the globe have been increasing their reliance on technology to collect, analyze and store personal data. This, in turn, has led to a rise in the number of cyber crimes, ranging from minor breaches to global-scale attacks impacting billions of users – such as in the case of Yahoo. Within the U.S. alone, 1802 cases of data compromise were reported in 2022. This was a marked increase from the 447 cases reported a decade prior. The high price of data protection As of 2022, the average cost of a single data breach across all industries worldwide stood at around 4.35 million U.S. dollars. This was found to be most costly in the healthcare sector, with each leak reported to have cost the affected party a hefty 10.1 million U.S. dollars. The financial segment followed closely behind. Here, each breach resulted in a loss of approximately 6 million U.S. dollars - 1.5 million more than the global average.

Forensic Workstation Market Outlook

As of 2023, the forensic workstation market size is estimated to be valued at approximately USD 1.2 billion. This market is expected to grow at a robust CAGR of 8.5% from 2024 to 2032, reaching an anticipated market size of nearly USD 2.4 billion by 2032. Key growth factors include the increasing sophistication of cyber threats, rising demand for digital forensic solutions, and technological advancements in forensic tools and techniques.

One primary growth factor driving the forensic workstation market is the escalating frequency and complexity of cybercrimes. With the increasing reliance on digital platforms for various personal and professional activities, the potential for cyber threats has significantly risen. Organizations and government agencies are increasingly investing in forensic workstations to swiftly detect, analyze, and mitigate these threats. The sophistication of cyber-attacks necessitates advanced forensic tools capable of handling complex data sets and providing accurate analysis, further fueling market growth.

Another significant factor contributing to market growth is the stringent regulatory landscape and compliance requirements across various industries. As data breaches become more prevalent, regulatory bodies worldwide are imposing stringent data protection laws and guidelines. Organizations are required to ensure compliance with these regulations to avoid hefty fines and legal repercussions. Consequently, there is a rising demand for forensic workstations equipped with cutting-edge software and hardware to conduct thorough investigations and ensure regulatory compliance.

Additionally, technological advancements in forensic tools and the integration of artificial intelligence (AI) and machine learning (ML) are propelling market growth. Modern forensic workstations are now equipped with AI and ML capabilities, enabling faster and more efficient analysis of large volumes of data. These technologies enhance the accuracy of investigations and help forensic experts uncover hidden patterns and anomalies that may go unnoticed through traditional methods. The continuous evolution of forensic technologies ensures the market remains dynamic and innovative, attracting substantial investments.

From a regional perspective, North America holds a significant share of the forensic workstation market, driven by the presence of key market players, advanced technological infrastructure, and high awareness about cyber threats. The Asia Pacific region is anticipated to witness substantial growth during the forecast period, owing to the increasing adoption of digital platforms and rising cybercrime incidents. Europe also presents promising growth opportunities, supported by stringent data protection regulations and increasing investments in cybersecurity infrastructure.

The role of Digital Forensic Software in this evolving landscape cannot be overstated. As cyber threats become more sophisticated, the need for advanced software solutions that can efficiently analyze and interpret digital evidence is paramount. Digital Forensic Software provides the tools necessary for investigators to delve deep into complex data sets, uncovering crucial insights that can aid in solving cybercrimes. These software solutions are designed to handle vast amounts of data quickly and accurately, ensuring that forensic experts can stay ahead of potential threats. The integration of artificial intelligence and machine learning into Digital Forensic Software further enhances its capabilities, allowing for more precise and efficient investigations. As the demand for such solutions continues to rise, the market for Digital Forensic Software is expected to see significant growth, driven by the increasing need for robust cybersecurity measures.

Component Analysis

The forensic workstation market is segmented into three primary components: hardware, software, and services. Each of these components plays a crucial role in the overall functionality and efficiency of forensic workstations, contributing to market growth in various capacities.

The hardware segment encompasses a wide range of devices and equipment essential for forensic investigations. This includes high-performance computers, data storage devices, and specialized peripherals designed to handle complex forensic tasks. The demand for advanced hardware solutions is driven by the need for faster processing speeds, higher storage capac

Abstract copyright UK Data Service and data collection copyright owner.

The Commercial Victimisation Survey (CVS) is a survey of the extent of crime and crime related issues experienced by business premises in England and Wales. It provides additional detail on the extent of crime to be used alongside the other main sources of information on crime. These are the Crime Survey for England and Wales (CSEW) (formerly the British Crime Survey), which covers crimes against private individuals and households, and the Police Recorded Crime statistics, which cover crimes reported to the police. In common with the CSEW, the CVS also includes crimes that are not reported to the police. The Police Recorded Crime data tables are available from the GOV.UK website.

The CVS was previously run as a standalone survey in 1994 and again in 2002. The CVS was then run as an annual publication from 2012 onwards. A break occurred from 2019 to 2021 where CVS underwent a re-design following a consultation, where the coverage of the survey was expanded to cover all commercial business premises. A standalone CVS was run in 2021, covering only the Wholesale and Retail sector, to provide insights on the effects of the COVID-19 pandemic.

Further information on the CVS, with links to findings by year, can also be found on the GOV.UK Crimes against businesses statistics webpage.



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Businesses were asked which of a number of types of crime they had experienced in the 12 months prior to being interviewed. For each one they had suffered, they were asked about the number of occasions they had been victim to that type of crime, the effect of it on their business and the cost of the most recent incident. The survey also asked respondents whether they had reported the incidents to the police; the extent of the losses suffered; their crime prevention precautions; and their concerns about problems of crime and antisocial behaviour in the local area.

The 2017 dataset includes details of the extent of crime against business premises for the core CVS crime types. These include burglary, vandalism, vehicle-related theft, robbery, assaults and threats, theft and fraud. In addition, details on cyber crime, experience of anti-social behaviour and crime prevention are also included.

AI-Based Fraud Detection Tools Market Outlook

The global AI-based fraud detection tools market size was valued at approximately USD 6.5 billion in 2023 and is projected to reach USD 22.8 billion by 2032, growing at a robust CAGR of 15.1% during the forecast period. The significant growth factors driving this market include the increasing sophistication of fraudulent activities, the growing adoption of AI and machine learning technologies in various sectors, and the heightened demand for real-time fraud detection solutions.

One of the primary growth factors for the AI-based fraud detection tools market is the rising complexity of fraudulent activities. In today's digital age, fraudsters are employing increasingly sophisticated techniques to breach security systems, making traditional detection methods inadequate. AI-based solutions, which leverage advanced algorithms and machine learning, are capable of analyzing large volumes of data to identify patterns and anomalies indicative of fraud. This capability is crucial for organizations seeking to protect their assets and maintain customer trust in an environment where cyber threats are continually evolving.

Another significant growth driver is the widespread adoption of AI and machine learning technologies across various industries. Businesses are recognizing the potential of these technologies to enhance their fraud detection capabilities, leading to increased investments in AI-driven solutions. The banking and financial services sector, in particular, has been at the forefront of adopting AI-based fraud detection tools to combat financial crimes such as identity theft, credit card fraud, and money laundering. Furthermore, the retail and e-commerce sectors are increasingly implementing these tools to safeguard against fraudulent transactions and account takeovers.

The growing demand for real-time fraud detection solutions is also propelling the market forward. Traditional fraud detection systems often rely on rule-based approaches that can be slow and reactive, allowing fraudulent activities to go undetected until significant damage has been done. In contrast, AI-based solutions can process and analyze data in real-time, enabling organizations to identify and respond to threats rapidly. This real-time capability is essential for minimizing losses and mitigating risks, particularly in sectors where the speed of transactions is critical, such as online retail and financial services.

Regionally, North America currently dominates the AI-based fraud detection tools market, owing to the high adoption rate of advanced technologies and the presence of major industry players. However, other regions like Asia Pacific and Europe are also experiencing significant growth. Asia Pacific, in particular, is expected to exhibit the highest CAGR during the forecast period, driven by the increasing digitization of economies, rising internet penetration, and the growing awareness of cybersecurity threats. Europe is also witnessing substantial growth due to stringent regulatory requirements and the increasing focus on data privacy and security.

Component Analysis

The AI-based fraud detection tools market can be segmented by component into software, hardware, and services. The software segment is expected to hold the largest market share during the forecast period. This dominance can be attributed to the continuous advancements in AI algorithms and machine learning models, which enhance the accuracy and efficiency of fraud detection systems. Furthermore, the software solutions are designed to be scalable and easily integrated into existing systems, making them an attractive option for organizations of all sizes.

Hardware components, though not as dominant as software, play a crucial role in the deployment of AI-based fraud detection systems. High-performance computing hardware, including GPUs and specialized AI processors, are essential for handling the large datasets and complex computations required for real-time fraud detection. As the demand for more powerful and efficient hardware grows, this segment is expected to see steady growth, particularly in large enterprises that require robust infrastructure to support their AI initiatives.

The services segment, encompassing consulting, integration, and maintenance services, is also poised for significant growth. Organizations often lack the in-house expertise required to develop and implement AI-based fraud detection systems, leading to an increased reliance on external service providers. These services help organizations to customize and opti

DeFi has attracted legitimate investors and scammers alike. The paper presents an empirical investigation into the prevalence of rugpulls, a scam where cryptocurrency project developers exit without fully delivering and leave investors in the wind. Using forum data, 101 rug- pulls from 6 different types of DeFi services are documented. ICOs form the majority of the rugpulls, most of which were active for less than six months before scamming out. ICOs rugpulled in 2021 were active for a much longer time than those that were rugpulled later on, perhaps pointing to new entrants intending to pull the rug. Through qualitative thematic analysis, we discover that these schemes primarily use authoritative and financial lures at the announcement stage of the project to mimic legitimate projects.

India saw a significant jump in cyber crimes reported in 2022 from the previous year. That year, over ****** cyber crime incidents were registered. Karnataka and Telangana accounted for the highest share during the measured period. Uttar Pradesh leads the wayThe northern state of Uttar Pradesh had the highest number of cyber crimes compared to the rest of the country, with over * thousand cases registered with the authorities in 2018 alone. India’s tech state, Karnataka, followed suite that year. A majority of these cases were registered under the IT Act with the motive to defraud, or sexually exploit victims. It's a numbers game It was estimated that in 2017, consumers in India collectively lost over 18 billion U.S. dollars due to cyber crimes. However, these were estimates based only on reported numbers. In a country like India, it is highly likely that the actual figures could be under-reported due to a lack of cyber crime awareness or the mechanisms to classify them. Recent government initiatives such as a dedicated online portal to report cyber crimes could very well be the main factor behind a sudden spike in online crimes from 2017 onwards.

Insurance Fraud Investigations Market Outlook

The global insurance fraud investigations market size was valued at USD 3.2 billion in 2023 and is projected to reach USD 7.5 billion by 2032, growing at a CAGR of 10.5% during the forecast period. This growth is primarily driven by the increasing sophistication of fraud schemes and the corresponding need for advanced detection and prevention strategies.

Insurance fraud has become a significant issue for the industry, leading to substantial financial losses annually. The rising awareness among insurance companies about the adverse impact of fraud on their bottom line has led to increased investment in fraud detection technologies. Furthermore, the growing complexity of fraud schemes necessitates sophisticated investigation techniques, which, in turn, is propelling market growth. Additionally, regulatory mandates requiring insurers to implement effective anti-fraud measures have further fueled the demand for robust fraud investigation solutions.

Technological advancements are playing a pivotal role in enhancing the capabilities of insurance fraud investigations. The integration of artificial intelligence (AI), machine learning (ML), and data analytics has enabled insurers to detect fraud patterns more accurately and promptly. These technologies facilitate the analysis of vast datasets, providing valuable insights that aid in identifying potentially fraudulent activities. Moreover, blockchain technology is gaining traction in the insurance sector for its ability to provide transparent and tamper-proof records, thereby reducing the risk of fraud.

Another significant growth driver is the collaboration between insurance companies, government agencies, and law enforcement agencies. This collaborative approach enhances the effectiveness of fraud investigations by enabling the sharing of information and resources. The establishment of specialized anti-fraud units within insurance companies and regulatory bodies is also contributing to the market's expansion. Additionally, the increasing prevalence of digital insurance platforms has necessitated the development of advanced fraud detection mechanisms to safeguard against cyber fraud.

In terms of regional outlook, North America holds a dominant position in the insurance fraud investigations market, owing to the presence of a large number of insurance companies and advanced technological infrastructure. Europe is also witnessing significant growth, driven by stringent regulatory requirements and the increasing adoption of digital insurance solutions. The Asia Pacific region is expected to exhibit the highest CAGR during the forecast period, fueled by the rapid digitalization of the insurance sector and the rising incidence of insurance fraud.

Type Analysis

The insurance fraud investigations market can be segmented by type into health insurance fraud, automobile insurance fraud, property insurance fraud, workers' compensation fraud, and others. Health insurance fraud is one of the most prevalent types, involving activities such as false claims, billing for services not rendered, and manipulation of medical records. The increasing complexity of health insurance schemes and the significant financial impact of fraud are driving the demand for advanced investigation solutions in this segment.

Automobile insurance fraud is another major segment, encompassing activities such as staged accidents, exaggerated claims, and falsified repair bills. The high frequency of automobile claims and the substantial financial losses associated with fraudulent activities are prompting insurers to invest in sophisticated fraud detection technologies. The use of telematics and AI-driven analytics in automobile insurance fraud investigations is gaining momentum, enabling insurers to identify suspicious patterns and mitigate risks effectively.

Property insurance fraud involves false claims related to damage or loss of property. This segment is experiencing growth due to the increasing number of fraudulent claims in the real estate and construction sectors. The adoption of advanced technologies such as drones and AI-powered image recognition is enhancing the capabilities of property insurance fraud investigations, allowing for accurate assessment of claims and identification of fraudulent activities.

Workers' compensation fraud includes activities such as false injury claims, exaggerated disability, and employer fraud. The financial burden of workers' compensation fraud on businesses and insurers is signif

In the United States, a number of challenges prevent an accurate assessment of the prevalence of hate crimes in different areas of the country. These challenges create huge gaps in knowledge about hate crime--who is targeted, how, and in what areas--which in turn hinder appropriate policy efforts and allocation of resources to the prevention of hate crime. In the absence of high-quality hate crime data, online platforms may provide information that can contribute to a more accurate estimate of the risk of hate crimes in certain places and against certain groups of people. Data on social media posts that use hate speech or internet search terms related to hate against specific groups has the potential to enhance and facilitate timely understanding of what is happening offline, outside of traditional monitoring (e.g., police crime reports). This study assessed the utility of Twitter data to illuminate the prevalence of hate crimes in the United States with the goals of (i) addressing the lack of reliable knowledge about hate crime prevalence in the U.S. by (ii) identifying and analyzing online hate speech and (iii) examining the links between the online hate speech and offline hate crimes. The project drew on four types of data: recorded hate crime data, social media data, census data, and data on hate crime risk factors. An ecological framework and Poisson regression models were adopted to study the explicit link between hate speech online and hate crimes offline. Risk terrain modeling (RTM) was used to further assess the ability to identify places at higher risk of hate crimes offline.

Evidence Management Software Market Outlook

The global Evidence Management Software market size was valued at approximately USD 1.2 billion in 2023 and is projected to reach USD 3.5 billion by 2032, registering a compound annual growth rate (CAGR) of 12% during the forecast period. This market growth is driven by the increasing adoption of digital solutions for managing evidence in legal and law enforcement sectors to enhance efficiency and accuracy in investigations and legal processes.

One of the primary growth factors in the Evidence Management Software market is the rising demand for streamlined and automated processes within law enforcement and legal systems. Traditional methods of managing evidence, such as physical storage and manual documentation, are not only time-consuming but also prone to errors and tampering. The introduction of digital solutions has revolutionized this process by enabling secure storage, quick retrieval, and sharing of evidence in a manner that ensures chain of custody is maintained. This digital shift is largely propelled by the growing need for transparency and accountability in legal proceedings.

Another significant growth driver is the increasing number of criminal activities and the complexity of cases, which necessitate sophisticated tools for evidence management. With the rise in cybercrimes, drug trafficking, and other illicit activities, law enforcement agencies require advanced software solutions to manage vast amounts of data efficiently. Such tools not only help in organizing evidence but also in analyzing data patterns, which can be crucial in solving cases. The advent of artificial intelligence and machine learning in evidence management software further enhances its capability by providing predictive analytics and aiding in decision-making processes.

The regulatory environment also plays a pivotal role in the growth of the Evidence Management Software market. Governments and regulatory bodies across the globe are implementing stringent policies and guidelines to ensure the proper handling and management of evidence. Compliance with these regulations necessitates the adoption of robust evidence management systems that can safeguard data integrity and ensure legal admissibility. This is particularly evident in regions like North America and Europe, where legal frameworks are highly developed and enforcement agencies are under constant scrutiny to adhere to these standards.

In recent years, Electronic Offender Monitoring has emerged as a crucial tool in the realm of law enforcement and public safety. This technology involves the use of electronic devices, such as ankle bracelets, to track the movements and activities of offenders, ensuring compliance with legal restrictions. The integration of Electronic Offender Monitoring systems with evidence management software can significantly enhance the efficiency of monitoring processes. By providing real-time data and alerts, these systems enable law enforcement agencies to respond swiftly to any violations, thereby reducing the risk of reoffending. The adoption of such technologies is driven by the need to improve public safety while optimizing resource allocation within law enforcement agencies.

Regionally, North America holds a significant share of the market due to its well-established legal infrastructure and the early adoption of advanced technologies. The presence of major market players and continuous technological advancements contribute to the region's dominance. Europe follows closely, driven by regulatory mandates and a high emphasis on legal compliance. Meanwhile, the Asia Pacific region is expected to witness the highest growth rate during the forecast period, fueled by rapid urbanization, increasing crime rates, and growing investments in modernizing law enforcement agencies.

Component Analysis

The Evidence Management Software market is segmented by component into software and services. The software segment is further categorized into on-premises software and cloud-based software. The software component dominates the market, driven by the need for efficient and secure management of digital evidence. With the increasing volume of digital data, law enforcement and legal firms are investing heavily in robust software solutions that can handle large datasets, ensuring data integrity and accessibility.

On-premises software solutions are popular among organizations that prioritize data security a

The annual number of complaints of cybercrime received annually on the U.S. Internet Crime Complaint Center (IC3) website increased significantly between 2000 and 2024. The center received nearly 860,000 complaints in the most recently reported year.

Over ******* cases of cyber crime were reported to the Indian Cyber Crime Coordination Centre (I4C) in India within the first four months of 2024 alone. The number of cyber crimes in the country saw a massive spike between 2019 and 2020 and has been on the rise ever since. Roughly ** percent of the reports in 2024 were related to online financial fraud.

In 2023, ransomware was the most frequently detected cyberattack worldwide, with around 70 percent of all detected cyberattacks. Network breaches ranked second, with almost 19 percent of the detections. Although less frequently, data exfiltration was also among the detected cyberattacks.

In 2024, online frauds were the most reported cyber threat incidents announced by Cybersecurity Malaysia with more than ***** reports. This was followed by content related cyber crime with *** cases. CyberSecurity Malaysia is a government agency that deals with internet safety and operates under the Malaysian Ministry of Science, Technology and Innovation. Risks of scams in e-commerce leading internet activities. Meanwhile, the Malaysian internet users have experienced cybercrime, only **** percent

In 2023, job scams were the most common type of scam in Singapore, with around ***** cases reported. E-commerce scams also represented a prevalent form of fraud in the country, with over ***** cases reported.

Phishing threat in Singapore In Singapore, around *********** different phishing URLs with a .SG domain were detected in 2022. The highest number of phishing URLs was recorded the previous year, with around ***********. Phishing attacks can take many forms, such as corporate e-mail compromise (CEC), mass phishing, or smishing. These phishing e-mails represent a crucial risk for businesses. They can also lead to ransomware infections, which have also increased in recent years.

Data breaches Companies and governments are increasingly relying on technology to collect, analyze, and store personal data. This can lead to potential risks when such data is affected by cyber incidents. In Singapore, the number of exposed data points per thousand people reached ** in 2022. Over the same period, around ************ data sets were reported as leaked in the country.

In financial year 2024, the Reserve Bank of India (RBI) reported a total of more than ** thousand bank fraud cases across India. This was an increase compared to the previous year and turned around the trend of the last decade.