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DEFENSE CYBER SECURITY MARKET ANALYSIS

Defense Cyber Security Market, By Platform (Hardware and Software & Service), By Solution (Cyber Threat Protection, Threat Evaluation, Security, and Others), By Type (Critical Infrastructure Security & Resilience, Application Security, Cloud Security, and Others), By End user (Land Force, Naval Force, and Air Force), By Geography (North America, Europe, Asia Pacific, Latin America, Middle East and Africa)

  • Published In : Apr 2024
  • Code : CMI5087
  • Pages :164
  • Formats :
      Excel and PDF
  • Industry : Aerospace and Defense

Defense Cyber Security Market Size and Trends

The defense cyber security market is estimated to be valued at US$ 15.39 Bn in 2024 and is expected to reach US$ 40.28 Bn by 2031, growing at a compound annual growth rate (CAGR) of 14.7% from 2024 to 2031.

Defense Cyber Security Market Key Factors

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The defense cyber security market is expected to witness significant growth over the forecast period. With growing sophistication of cyber threats and increasing dependency of military systems on digital technologies, countries are investing heavily in procuring advanced cyber security solutions. Moreover, the development of new technologies such as Artificial Intelligence (AI), cloud computing, and 5G networks is also driving the need for robust cyber security systems. However, budget constraints of some countries may limit the growth of the market. Nonetheless, increasing instances of cyber-attacks on critical defense infrastructure will continue to drive the demand for next-generation cyber security solutions with enhanced capabilities.

Market Drivers: Increasing sophisticated cyber threats

With the growing connectivity brought about by advanced technologies such as cloud, Internet of Things (IoT), and 5G, the attack surface for cyber threats has expanded exponentially. Nation state actors and terrorist groups are now actively targeting critical defense infrastructure to gain strategic advantages. The Stuxnet attack on Iranian nuclear facilities highlighted the vulnerability of industrial control systems. Ransomware attacks have paralyzed shipping giant Maersk and pharmaceutical major Merck. State actors are known to be developing Artificial Intelligence (AI)-powered tools to automate cyberattacks and damage critical assets with minimal human intervention. The threat landscape has evolved from stealing data to actually disrupting systems and destruction of property. Traditional perimeter based security tools are not adequately equipped to detect and prevent these advanced persistent threats. There is a pressing need for defense organizations to implement proactive threat hunting strategies using advanced analytics and automation. Next generation network access controls, endpoint detection & response, identity as well as cloud security solutions have become critical priorities.

/p>Operational technology convergence

The traditional IT-OT divide in defense establishments is rapidly blurring with new operational needs. The use of commercially available technologies and integration of legacy systems with web applications has introduced new vulnerabilities. Control systems which were earlier isolated are now connected to public networks for remote monitoring and predictive maintenance. 5G networks promise to interconnect tens of billions of IP addressable devices to support mission critical applications ranging from autonomous combat vehicles to augmented reality for soldiers. This level of connectivity exposes operational assets to cyber risks beyond the protection of traditional air-gapped security architectures. Important operations such as power generation, air traffic control, and early warning radars now need strong protection against cyber threats. Demands for cross domain solutions, industrial control systems protection and security for internet of battlefield things are driving new requirements. With technology driving convergence between the physical and digital worlds, cyber security can no longer be an afterthought for defense organizations and must be embedded from initial design stages itself for various platforms and systems.

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