Report Code: 11944 | Available Format: PDF
Automated Breach and Attack Simulation Market Overview
The global automated breach and attack simulation market is expected to grow at a substantial rate during the forecast period (2020–2030), attributing to the increasing security investments and rising concerns over complying with security regulations. The automated breach and attack simulation solutions are the platforms or tools that enable security assessment automation by simulating real-world attack scenarios. These solutions help end users identify loopholes in the existing security infrastructure and improve data protection. The major factors contributing to the market growth include the increasing volume of industrial data and the rising demand for analytics solutions and data security tools to improve organizational security and enhance facility’s overall operational processes and performance.
The automated breach and attack simulation market, on the basis of offering, is classified into platform and services, where the services category is further bifurcated into professional services and managed services. Between the two offerings, the platform category held larger revenue share in 2019, owing to the increasing demand for cloud-based solution deployments across small and large organizations, around the globe. Moreover, the platform offers continuous testing and monitoring, security controls, attack readiness, and on-demand simulation to end-use organizations. Whereas, in the services category, the market for professional services is expected to continue displaying considerable growth, owing to the rising demand for consultancy and training services.
The automated breach and attack simulation market, in terms of application, is categorized into configuration management, patch management, threat intelligence, and others. Among these, the configuration management category held the largest market share in 2019, owing to the rising demand for configuration management solution from organizations to establish a reliable information repository associated with IT components. This solution provides accurate configuration information, allowing deployers in seamless decision-making.
The automated breach and attack simulation market, based on end user, is categorized into enterprises, data centers, and service providers, where the data centers category is projected to witness the fastest growth during the forecast period, on account of massive cloud industry growth across the globe.
The adoption of automated breach and attack simulation solutions is particularly high in North America, owing to the heavy investment in research and development (R&D) activities for the development of advanced technologies. Furthermore, Asia-Pacific (APAC) is projected to be one of the most lucrative automated breach and attack simulation markets, followed by Latin America (LATAM), during the forecast period. This can be mainly attributed to the improving infrastructure and growing number of tech-oriented small and medium enterprises (SMEs) in developing countries, such as China, India, and Brazil.
Automated Breach and Attack Simulation Market Dynamics
Drivers
With the advent of Industry 4.0, a large number of industries are deploying solutions with advanced technologies for security management applications. Solutions with artificial intelligence, advanced analytics, machine learning, and internet of things (IoT) capabilities are gaining widespread interest, especially in data-sensitive organizations, where maintaining security is becoming increasingly crucial. Additionally, the cybersecurity industry is showcasing a substantial growth across the globe. This is leading to considerable adoption of automated breach and simulation solutions, for safeguarding industrial assets, thereby streamlining business operations.
The automated breach and simulation solutions can be used to run automated attacks, and often they are employed to run surprised or scheduled mock attacks. They include artificial intelligence and machine learning capabilities to conduct sophisticated attacks, in order to assess the state of an organization’s cybersecurity infrastructure. Hence, for conducting security audits, vulnerability assessments, penetration testing, threat hunting to detect vulnerabilities in systems, and avoid a possible cyber breach, these solutions are increasingly gaining acceptance. This boosts the automated breach and attack simulation market across the globe.
Automated Breach and Attack Simulation Market Competitive Landscape
The automated breach and attack simulation market is moderately competitive in nature, with the presence of several key players. The key players in the domain are focusing on business strategies, including product launches, mergers and acquisitions, client wins, and partnerships, in order to increase their presence in the market and enhance their product offerings, to ultimately capture larger customer base. A few market players predominantly constituted the market share in 2019; however, in the coming years, with improving ease of doing business, more new companies are expected to strategize their penetration and expansion in the market.
Some of the major players operating in the global automated breach and attack simulation market include Rapid7 LLC, AttackIQ Inc., DXC Technology Company, Qualys Inc., Skybox Security Inc., SafeBreach Inc., FireMon LLC, XM Cyber Ltd., Cymulate Ltd., NopSec.com Inc., MazeBolt Technologies, Cronus-Cyber Technologies, Scythe, and Pcysys Ltd.
The report covers a country-wise automated breach and attack simulation market analysis. Some of the major countries covered in the report include the U.S., Canada, France, Germany, the U.K., Italy, Spain, China, Japan, India, South Korea, Australia, Brazil, Mexico, South Africa, Turkey, Saudi Arabia, and the U.A.E.
Market Size Breakdown by Segment
The automated breach and attack simulation market report offers comprehensive market segmentation analysis along with market estimation for the period 2014–2030.
Based on Offering
Based on Application
Based on End User
Geographical Analysis
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