The AI-Driven Digital Forensics Market is Predict to reach USD 17.7 Billion by 2031, at a CAGR of 24.7%

07-Nov-2024 | Report Format: Electronic (PDF)

AI-Driven Digital Forensics Market Growth, Trends and Report Highlights

According to a new report, published by KBV research, The Global AI-Driven Digital Forensics Market size is expected to reach $17.7 billion by 2031, rising at a market growth of 24.7% CAGR during the forecast period.

Innovation in the AI-driven digital forensics market is propelling the development of new tools and technologies that address emerging challenges. Natural Language Processing NLP technologies are integrated into digital forensics tools to analyze textual data, such as emails, chat logs, and social media posts. This allows investigators to extract relevant information and identify key relationships more effectively.

AI-Driven Digital Forensics Market Size - By Region

The On-premise segment is registering a CAGR of 24.3 % during the forecast period. On-premises deployments allow organizations to maintain sensitive information within their infrastructure, which is particularly appealing for those in highly regulated industries such as finance and healthcare. These solutions also enable organizations to customize their digital forensics tools to their specific security protocols and compliance requirements.

The Software Segment captured the maximum revenue in the Global AI-driven Digital Forensics Market by Component in 2023, thereby, achieving a market value of $10.9 billion by 2031. This growth can be attributed to the increasing demand for advanced AI-powered tools that streamline the digital investigation process. These software solutions are critical in managing vast amounts of digital evidence, especially in cases involving cybercrimes and data breaches.

The Network Forensics segment is experiencing a CAGR of 23.5 % during the forecast period. As organizations increasingly faced sophisticated cyber threats, the demand for advanced network forensics solutions surged. These solutions enabled businesses to monitor, capture, and analyze network traffic effectively, helping them identify malicious activities in real time.

The Large Enterprise segment led the maximum revenue in the Global AI-driven Digital Forensics Market by Organization Size in 2023, thereby, achieving a market value of $11.7 billion by 2031. Due to their size, complexity, and extensive digital assets, large organizations often face a higher volume of cyber threats, necessitating robust forensic capabilities. These enterprises are increasingly adopting AI-driven solutions to enhance their incident response and investigative processes, allowing them to manage and mitigate risks effectively.

The BFSI segment is growing at a CAGR of 22.3 % during the forecast period. With the increasing frequency of cyberattacks targeting financial institutions, the BFSI sector is prioritizing investments in digital forensics to enhance security, protect sensitive customer information, and comply with stringent regulatory requirements.

Full Report: https://www.kbvresearch.com/ai-driven-digital-forensics-market/

The North America region dominated the Global AI-driven Digital Forensics Market by Region in 2023, and would continue to be a dominant market till 2031; thereby, achieving a market value of $6.3 billion by 2031. The Europe region is anticipated to grow at a CAGR of 24.2% during (2024 - 2031). Additionally, The Asia Pacific region would witness a CAGR of 25.4% during (2024 - 2031).

List of Key Companies Profiled

  • Magnet Forensics Inc.
  • Open Text Corporation
  • IBM Corporation
  • LogRhythm, Inc.
  • Exterro, Inc.
  • Cellebrite DI Ltd.
  • Micro Systemation AB
  • Oxygen Forensics, Inc.
  • Nuix Limited
  • ADF Solutions, Inc.

AI-Driven Digital Forensics Market Report Segmentation

By Deployment Model

  • On-premise
  • Cloud

By Component

  • Software
  • Services
    • Professional Services
    • Managed Services

By Application

  • Network Forensics
  • Endpoint Forensics
  • Cloud Forensics
  • Malware Forensics
  • Mobile Forensics & Other Application

By Organization Size

  • Large Enterprise
  • Small & Medium Enterprise

By End-use

  • BFSI
  • Government & Law Enforcement
  • IT & Telecom
  • Healthcare
  • Retail & eCommerce
  • Defense
  • Energy & Utilities
  • Other End-use

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