The market size for network forensics in the United States is expected to reach US$ 2 Billion by 2032, growing at a CAGR of 10.2% during the projected period.
The global network forensics market is estimated to increase at a CAGR of 12.5% during the forecast period, from US$ 2.7 Billion in 2022 to US$ 8.9 Billion by 2032.
Increasing data thefts and cyber-attacks across companies, increased network traffic, and increased demand for cloud-based network forensics solutions are some of the reasons driving the growth of the network forensics market. Some of the constraints that are predicted to stymie network forensics market expansion include a shortage of qualified knowledge and a lack of infrastructure to store all of the data packets.
Due to technological improvements, network traffic is likely to rise even more in the next years. Heavy data flow and complicated systems make the examination process time-consuming when attempting to gain a better understanding of the systems.
In the future years, the network forensics market is projected to be driven by the rising requirement to defend networks against sophisticated assaults and reduce network-based crimes. Network forensics assists businesses in capturing, recording, and analysing network data for the purposes of investigation and incident response.
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It also aids in the detection of insider theft and the misuse of networking resources, as well as the evaluation of network performance. Organizations all over the globe have begun to use network forensics solutions in order to identify network activity and its impact on sensitive data.
In order to address significant vulnerabilities with quicker threat detection, mitigation, and response capabilities, network forensics investigators are adding AI, ML, and analytics principles into their network forensics solutions. Advances in technology, such as AI and machine learning, are shifting the tide against vulnerabilities. AI and machine learning-based network security technologies assist enterprises in providing complete security features to their network infrastructure.
For its applications in learning and reasoning, AI technologies are exceptionally capable of learning and solving complicated computational problems. AI systems have achieved great advances in tackling more complicated computational problems using ML as the basic technology, and network forensics investigators can advance ANN in pattern recognition.
Key Takeaways
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Competitive Landscape:
Major vendors offering network forensics solutions are Fireeye ([now Trellix], US), Cisco Systems (US), IBM Corporation (US), Broadcom Inc. (US), NETSCOUT Systems, Inc. (US), RSA Security, LLC (US), VIAVI Solutions (US), Novetta Solutions, LLC (US), SolarWinds Corporation (US), Palo Alto Networks, Inc.(US), SonicWall (US), OpenText Corporation (Canada), ManageEngine (US), LogRhythm, Inc. (US), NIKSUN (US), Corelight, Inc. (US), Securonix (US), Vehere, Inc. (US), Cysight.ai ([IdeaData], Israel), CorCystems (US), Endace Ltd. (New Zealand), and VectraAI, Inc. (US).
Some emerging startups, such as LiveAction (US), GrayLog, Inc. (US), DiFose (Ankara, Turkey), Gurucul (US), and BluVector (US) are also included in the research study.
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Key segments
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Jun 22, 2023