These cybersecurity statistics will help you understand the state of online security and give you a better idea of what it takes to protect yourself.

Did the COVID-19 pandemic really affect cybersecurity? Short answer – Yes. Cybercrime is up 600% due to COVID-19.

An extensive dataset offering key insights into cyber security statistics and trends for 2025, including data breaches, cybercrime costs, threat vectors, and industry-specific impacts.

Introduction

Cyber Security Statistics: Cybersecurity has become a top priority for organizations worldwide, driven by the escalating volume and complexity of cyber threats. As businesses increasingly adopt digital technologies, the risk of cyberattacks, such as data breaches, ransomware, and phishing, has risen, creating significant challenges for data privacy and security.

The increasing frequency of high-profile cyber incidents has exposed vulnerabilities in various sectors, prompting governments and organizations to enhance their cybersecurity measures. In response, emerging technologies such as artificial intelligence and machine learning are being integrated to enhance threat detection and response capabilities.

The following statistics offer a comprehensive overview of the cybersecurity landscape, shedding light on the trends, risks, and developments that are shaping this critical field.

According to a 2024 survey of Chief Information Security Officers (CISO) worldwide, Ransomware attacks were a leading cybersecurity risk, with roughly ** percent naming it as one of the three major cybersecurity threats. A further share of ** percent of the respondents found malware to be a significant risk to their organizations' cybersecurity. Email fraud compromise and DDoS attacks followed closely, with ** percent.

Percentage of enterprises impacted by cyber security incidents in specific ways by the North American Industry Classification System (NAICS) and size of enterprise.

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.

The average cyber attack takes 280 days to identify and contain and it costs an average of about $3.86 million to deal with properly.

In 2024, manufacturing saw the highest share of cyberattacks among the leading industries worldwide. During the examined year, manufacturing companies encountered more than a quarter of the total cyberattacks. Organizations in the finance and insurance followed, with around 23 percent. Professional, business, and consumer services ranked third, with 18 percent of reported cyberattacks. Manufacturing industry and cyberattacks The industry of manufacturing has been in the center of cyberattacks in a long time. The share of cyberattacks targeting organizations in this sector in 2018 was at 10 percent, while in 2024, it amounted to 26 percent. The situation is even more compliacted when we look at the cyber vulnerabilities found in this sector. In 2024, critical vulnerabilities in manufacturing companies lasted 205 days on average. IT perspective and prevention With recent technology developments, cybersecurity is crucial to an organization’s success. Realizing this, companies have been gradually increasing cybersecurity investments. Thus, in 2024, the cybersecurity budget worldwide was forecast to increase to nearly 283 billion U.S. dollars. Roughly nine in ten board directors of companies worldwide in professional services and media and entertainment industries say they expect an increase in the cybersecurity budget.

The National Institute of Standards and Technology (NIST) provides a Cybersecurity Framework (CSF) for benchmarking and measuring the maturity level of cybersecurity programs across all industries. The City uses this framework and toolset to measure and report on its internal cybersecurity program. The foundation for this measure is the Framework Core, a set of cybersecurity activities, desired outcomes, and applicable references that are common across critical infrastructure/industry sectors. These activities come from the National Institute of Standards and Technology (NIST) Cybersecurity Framework (CSF) published standard, along with the information security and customer privacy controls it references (NIST 800 Series Special Publications). The Framework Core presents industry standards, guidelines, and practices in a manner that allows for communication of cybersecurity activities and outcomes across the organization from the executive level to the implementation/operations level. The Framework Core consists of five concurrent and continuous functions: identify, protect, detect, respond, and recover. When considered together, these functions provide a high-level, strategic view of the lifecycle of an organization’s management of cybersecurity risk. The Framework Core identifies underlying key categories and subcategories for each function, and matches them with example references, such as existing standards, guidelines, and practices for each subcategory. This page provides data for the Cybersecurity performance measure. Cybersecurity Framework cumulative score summary per fiscal year quarter (Performance Measure 5.12) The performance measure page is available at 5.12 Cybersecurity. Additional Information Source: Maturity assessment / https://www.nist.gov/topics/cybersecurityContact: Scott CampbellContact E-Mail: Scott_Campbell@tempe.govData Source Type: ExcelPreparation Method: The data is a summary of a detailed and confidential analysis of the city's cybersecurity program. Maturity scores of subcategories within NIST CFS are combined, averaged, and rolled up to a summary score for each major category.Publish Frequency: AnnualPublish Method: ManualData Dictionary

The European Repository of Cyber Incidents (EuRepoC) is releasing the Global Dataset of Cyber Incidents in Version 1.3 as an extract of our backend database. This official release contains fully consolidated cyber incident data reviewed by our interdisciplinary experts in the fields of politics, law and technology across all 60 variables covered by the European Repository. Version 1.3 covers the years 2000 – 2024 entirely. The Global Dataset is meant for reliable, evidence-based analysis. If you require real-time data, please refer to the download option in our TableView or contact us for special requirements (including API access).

The dataset now contains data on 3416 cyber incidents which started between 01.01.2000 and 31.12.2024. The European Repository of Cyber Incidents (EuRepoC) gathers, codes, and analyses publicly available information from over 220 sources and 600 Twitter accounts daily to report on dynamic trends in the global, and particularly the European, cyber threat environment.

For more information on the scope and data collection methodology see: https://eurepoc.eu/methodology

Full Codebook available here

Information about each file

please scroll down this page entirely to see all files available. Zenodo only displays the attribution dataset by default.

Global Database (csv or xlsx):
This file includes all variables coded for each incident, organised such that one row corresponds to one incident - our main unit of investigation. Where multiple codes are present for a single variable for a single incident, these are separated with semi-colons within the same cell.

Receiver Dataset (csv or xlsx):
In this file, the data of affected entities and individuals (receivers) is restructured to facilitate analysis. Each cell contains only a single code, with the data "unpacked" across multiple rows. Thus, a single incident can span several rows, identifiable through the unique identifier assigned to each incident (incident_id).

Attribution Dataset (csv or xlsx):
This file follows a similar approach to the receiver dataset. The attribution data is "unpacked" over several rows, allowing each cell to contain only one code. Here too, a single incident may occupy several rows, with the unique identifier enabling easy tracking of each incident (incident_id). In addition, some attributions may also have multiple possible codes for one variable, these are also "unpacked" over several rows, with the attribution_id enabling to track each attribution.

Dyadic Dataset (csv or xlsx):
The dyadic dataset puts state dyads in the focus. Each row in the dataset represents one cyber incident in a specific dyad. Because incidents may affect multiple receivers, single incidents can be duplicated in this format, when they affected multiple countries.

India Cyber Security Incidents: Total data was reported at 1,592,917.000 Unit in 2023. This records an increase from the previous number of 1,391,457.000 Unit for 2022. India Cyber Security Incidents: Total data is updated yearly, averaging 49,908.500 Unit from Dec 2004 (Median) to 2023, with 20 observations. The data reached an all-time high of 1,592,917.000 Unit in 2023 and a record low of 23.000 Unit in 2004. India Cyber Security Incidents: Total data remains active status in CEIC and is reported by Indian Computer Emergency Response Team. The data is categorized under India Premium Database’s Transportation, Post and Telecom Sector – Table IN.TF010: Information Technology Statistics: Cyber Security Incidents.

Introduction

Cybersecurity in Healthcare Statistics: As the healthcare sector increasingly integrates digital technologies, the need for robust cybersecurity measures has become more critical than ever. Adopting electronic health records (EHRs), telemedicine, and connected medical devices has significantly enhanced patient care and operational efficiency.

However, this digital shift has also exposed healthcare organizations to a rising tide of cyber threats, including data breaches, ransomware attacks, and hacks of medical devices. The sensitive nature of the data fuels these threats, such as personal health information (PHI) and payment records, making healthcare one of the most targeted cyberattack industries.

In response to these growing risks, healthcare providers must prioritize implementing stringent cybersecurity policies and embrace cutting-edge technologies like encryption, artificial intelligence, and multi-factor authentication. The sector is grappling with challenges such as outdated security systems, inadequate staff training, and the complexities of safeguarding networks of interconnected devices.

As cyberattacks become more frequent and sophisticated, understanding cybersecurity statistics within healthcare is essential for identifying vulnerabilities, assessing risks, and strengthening defenses to protect sensitive patient data and maintain trust within the industry.

Introduction

Cybersecurity Statistics: In a world that is increasingly becoming digital, cybersecurity statistics are now more important than ever for enterprises, governments, and individuals. The world has undergone significant changes in terms of online data storage and e-commerce, which have expanded the threat landscape. Cybercriminals have become sophisticated by using advanced methods to compromise security systems, steal private information, and disrupt operations. Cybersecurity statistics result in huge financial losses as well as reputational damages, hence making it one of the most critical elements in modern-day businesses and governance.

The global cybersecurity market has grown tremendously over the past few years due to the increasing number and complexity of cyber threats. In 2023, the cybersecurity industry was estimated to be worth around $217 billion, representing an increase of 15% from 2022. This growth was primarily due to increased awareness regarding cyber risks, coupled with numerous high-profile data breaches affecting both organizations and governments across the globe.

Some industries are affected by cyber attacks more than others. These next cybersecurity statistics detail specifically who is affected by cyber-attacks and why they are.

Over 95% of cybersecurity breaches occur as a result of human error.

Cyber Security as a Service Market Outlook

The global Cyber Security as a Service market size was valued at approximately $14 billion in 2023 and is projected to reach $41 billion by 2032, growing at a compound annual growth rate (CAGR) of 12.5% during the forecast period. This remarkable growth is driven by the increasing prevalence of cyber threats and the growing need for robust security solutions across various sectors.

The growth of the Cyber Security as a Service market can be attributed to several key factors. Firstly, the rapid digitization and adoption of cloud services have exposed businesses to a myriad of cyber threats, necessitating advanced security measures. The rise in sophisticated cyber-attacks, such as ransomware, phishing, and malware, has compelled organizations to seek comprehensive security solutions to safeguard their data and ensure business continuity. Additionally, regulatory requirements and compliance mandates across industries are driving the demand for managed security services, further propelling market growth.

Secondly, the increasing adoption of Internet of Things (IoT) devices has expanded the attack surface, making enterprises more vulnerable to cyber-attacks. As IoT devices become integral to business operations, securing these devices has become paramount. Cyber Security as a Service offers scalable and flexible solutions to monitor and protect IoT ecosystems, thereby addressing the security challenges posed by these interconnected devices. Furthermore, the growing awareness about the financial and reputational damage caused by data breaches is prompting businesses to invest heavily in cybersecurity services.

Thirdly, the shortage of skilled cybersecurity professionals is a significant growth driver for the market. Many organizations lack the in-house expertise required to effectively combat evolving cyber threats. As a result, they are increasingly turning to third-party service providers to manage their cybersecurity needs. Cyber Security as a Service offers access to a pool of experts, advanced technologies, and continuous monitoring capabilities, enabling businesses to strengthen their security posture without the need for extensive internal resources.

The integration of Financial Services Cybersecurity Systems and Services is becoming increasingly vital in the face of evolving cyber threats. Financial institutions are prime targets for cybercriminals due to the sensitive nature of financial data and transactions. As a result, there is a growing emphasis on developing comprehensive cybersecurity frameworks that encompass both preventive and responsive measures. These systems and services are designed to protect financial data, ensure compliance with regulatory requirements, and maintain customer trust. By leveraging advanced technologies such as artificial intelligence and machine learning, financial institutions can enhance their threat detection and response capabilities, thereby safeguarding their operations from potential cyber threats.

From a regional perspective, North America is expected to dominate the Cyber Security as a Service market during the forecast period. The presence of major cybersecurity vendors, coupled with stringent regulatory frameworks and high adoption rates of advanced technologies, contribute to the region's leading position. However, the Asia Pacific region is anticipated to witness the highest growth rate, driven by increasing digital transformation initiatives, rising cybercrime incidents, and growing awareness about cybersecurity solutions.

Service Type Analysis

In the Cyber Security as a Service market, the service type segment is pivotal, covering services such as Threat Intelligence, Managed Security Services, Security Monitoring and Analytics, Incident Response, Compliance Management, and others. The diverse nature of cyber threats necessitates a variety of specialized services, each catering to different facets of cybersecurity.

Threat Intelligence services play a crucial role in the market. These services involve the collection, analysis, and dissemination of information about potential or ongoing cyber threats. By leveraging advanced analytics and machine learning, threat intelligence services provide actionable insights that help organizations anticipate and mitigate cyber risks before they materialize. The growing complexity of cyber threats and the need for proactive threat management

Context

The data presented here was obtained in a Kali Machine from University of Cincinnati,Cincinnati,OHIO by carrying out packet captures for 1 hour during the evening on Oct 9th,2023 using Wireshark.This dataset consists of 394137 instances were obtained and stored in a CSV (Comma Separated Values) file.This large dataset could be used utilised for different machine learning applications for instance classification of Network traffic,Network performance monitoring,Network Security Management , Network Traffic Management ,network intrusion detection and anomaly detection.

The dataset can be used for a variety of machine learning tasks, such as network intrusion detection, traffic classification, and anomaly detection.

Content :

This network traffic dataset consists of 7 features.Each instance contains the information of source and destination IP addresses, The majority of the properties are numeric in nature, however there are also nominal and date kinds due to the Timestamp.

The network traffic flow statistics (No. Time Source Destination Protocol Length Info) were obtained using Wireshark (https://www.wireshark.org/).

Dataset Columns:

No : Number of Instance. Timestamp : Timestamp of instance of network traffic Source IP: IP address of Source Destination IP: IP address of Destination Portocol: Protocol used by the instance Length: Length of Instance Info: Information of Traffic Instance

Acknowledgements :

I would like thank University of Cincinnati for giving the infrastructure for generation of network traffic data set.

Ravikumar Gattu , Susmitha Choppadandi

Inspiration : This dataset goes beyond the majority of network traffic classification datasets, which only identify the type of application (WWW, DNS, ICMP,ARP,RARP) that an IP flow contains. Instead, it generates machine learning models that can identify specific applications (like Tiktok,Wikipedia,Instagram,Youtube,Websites,Blogs etc.) from IP flow statistics (there are currently 25 applications in total).

**Dataset License: ** CC0: Public Domain

Dataset Usages : This dataset can be used for different machine learning applications in the field of cybersecurity such as classification of Network traffic,Network performance monitoring,Network Security Management , Network Traffic Management ,network intrusion detection and anomaly detection.

ML techniques benefits from this Dataset :

This dataset is highly useful because it consists of 394137 instances of network traffic data obtained by using the 25 applications on a public,private and Enterprise networks.Also,the dataset consists of very important features that can be used for most of the applications of Machine learning in cybersecurity.Here are few of the potential machine learning applications that could be benefited from this dataset are :

1. Network Performance Monitoring : This large network traffic data set can be utilised for analysing the network traffic to identifying the network patterns in the network .This help in designing the network security algorithms for minimise the network probelms.

2. Anamoly Detection : Large network traffic dataset can be utilised training the machine learning models for finding the irregularitues in the traffic which could help identify the cyber attacks.

3.Network Intrusion Detection : This large dataset could be utilised for machine algorithms training and designing the models for detection of the traffic issues,Malicious traffic network attacks and DOS attacks as well.

India Cyber Security Incidents: Website Intrusion and Malware Propagation data was reported at 563.000 Unit in 2017. This records a decrease from the previous number of 1,483.000 Unit for 2016. India Cyber Security Incidents: Website Intrusion and Malware Propagation data is updated yearly, averaging 4,492.500 Unit from Dec 2008 (Median) to 2017, with 10 observations. The data reached an all-time high of 7,286.000 Unit in 2014 and a record low of 563.000 Unit in 2017. India Cyber Security Incidents: Website Intrusion and Malware Propagation data remains active status in CEIC and is reported by Indian Computer Emergency Response Team. The data is categorized under India Premium Database’s Transportation, Post and Telecom Sector – Table IN.TF010: Information Technology Statistics: Cyber Security Incidents.