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Penetration Testing Market worth $3.9 billion by 2029, Growing At a CAGR of 17.1% Report by MarketsandMarkets™
Chicago, April 16, 2024 (GLOBE NEWSWIRE) -- The global Penetration Testing Market is estimated to be worth USD 1.7 billion in 2024 and is projected to reach USD 3.9 billion by 2029 at a CAGR of 17.1% during the forecast period, according to a new report by MarketsandMarkets™. The penetration testing market is growing due to rising cyber threats globally, regulatory mandates for security assessments, and the expanding technology landscape. High-profile breaches underscore the need for proactive security measures, while the complexity of IT infrastructure drives demand for comprehensive solutions like penetration testing to mitigate risks effectively.
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374 - Tables 48 - Figures 329 - Pages
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Penetration Testing Market Dynamics:
Drivers:
Increasing need to protect digital infrastructure from cybercrimes
Regulations and compliances mandating stricter security measures
Widespread adoption of cloud computing
Growing complexities of IT systems
Restraints:
High costs of penetration testing
Prevalence of insider threats
Difficulties in integrating with existing security workflows
Opportunities:
Rising adoption of cost-effective PTaaS
Integration of AI, ML, and other technologies in penetration testing
Alignment of penetration testing with DevSecOps practices
List of Key Players in Penetration Testing Market:
Rapid7 (US)
Secureworks (US)
Synopsys (US)
Crowdstrike (US)
IBM (US)
Coalfire Labs (US)
Indium Software (US)
Cigniti Technologies (US)
Trustwave (US)
Cisco Systems (US)
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Penetration testing plays a vital role in business security as the surge in cybercrimes underscores the need for a comprehensive approach. With cyber threats proliferating and evolving tactics challenging traditional security measures, penetration testing offers a proactive defense strategy. Simulating cyberattacks uncover vulnerabilities in systems, networks, and applications, enabling organizations to address security gaps effectively. Integrating AI, ML, and ...