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세계의 AI 기반 디지털 포렌식 시장 : 시장 규모, 점유율, 동향 분석 보고서 - 전개 모델별, 구성요소별, 용도별, 조직 규모별, 최종 용도별, 지역별 전망 및 예측(2024-2031년)

Global AI-Driven Digital Forensics Market Size, Share & Trends Analysis Report By Deployment Model (On-premise and Cloud), By Component, By Application, By Organization Size, By End-use, By Regional Outlook and Forecast, 2024 - 2031

발행일: | 리서치사: KBV Research | 페이지 정보: 영문 379 Pages | 배송안내 : 즉시배송

    
    
    



※ 본 상품은 영문 자료로 한글과 영문 목차에 불일치하는 내용이 있을 경우 영문을 우선합니다. 정확한 검토를 위해 영문 목차를 참고해주시기 바랍니다.

세계 AI 기반 디지털 포렌식 시장 규모는 예측 기간 동안 24.7%의 CAGR로 성장하여 2031년까지 177억 달러에 달할 것으로 예상됩니다.

KBV Cardinal Matrix - AI 기반 디지털 포렌식 시장 경쟁 분석

KBV Cardinal Matrix의 분석에 따르면, IBM Corporation은 AI 기반 디지털 포렌식 시장의 선구자이며, 2023년 4월 하이브리드 클라우드 환경을 위해 설계된 클라우드 네이티브 AI 기반 사이버 보안 솔루션인 IBM Security QRadar Suite를 출시했습니다. 클라우드 네이티브 AI 기반 사이버 보안 솔루션인 IBM Security QRadar Suite를 출시했습니다. 위협 탐지, 조사 및 대응을 단일 인터페이스로 통합하여 SOC의 효율성을 높입니다. 주요 기능으로는 AI 기반 자동화, 사전 구축된 통합, 클라우드 네이티브 로그 관리 등이 있어 보다 신속하고 정확한 위협 대응이 가능하며, Open Text Corporation, Oxygen Forensics, Inc,는 AI 기반 디지털 포렌식 시장의 주요 혁신 기업입니다.

시장 성장요인

AI 기반 포렌식 도구는 탐지 및 대응 프로세스의 여러 측면을 자동화하여 사고 조사 및 대응에 필요한 시간을 크게 단축할 수 있습니다. 실시간 모니터링 솔루션은 머신러닝 알고리즘을 통해 악성 활동을 암시하는 패턴을 식별할 수 있는 머신러닝 알고리즘을 활용하여 사고 대응의 속도와 정확성을 향상시킵니다. 이를 통해 위협이 확대되기 전에 위협을 완화할 수 있습니다. 결론적으로, 실시간 모니터링 및 사고 대응 기능의 필요성이 시장 성장을 촉진하고 있습니다.

또한, 사이버 범죄는 피싱, 랜섬웨어, 국가 지원 공격과 같은 지능형 위협으로 진화하고 있으며, 이러한 위협은 점점 더 복잡해지고 탐지하기가 어려워지고 있습니다. 기존의 포렌식 툴로는 이러한 지능형 위협에 대응하기 어려워 복잡한 공격 패턴을 빠르고 정확하게 분석하고 취약점을 식별하며 실행 가능한 인사이트를 제공할 수 있는 AI 기반 솔루션에 대한 요구가 증가하고 있습니다. 이처럼 사이버 보안 위협과 사이버 범죄 사건의 증가가 시장 성장을 주도하고 있습니다.

시장 억제요인

그러나 AI 기반 디지털 포렌식 솔루션을 구현하려면 고급 소프트웨어 및 하드웨어 구매, 커스터마이징 및 통합과 관련된 비용 등 상당한 초기 투자가 필요합니다. 이러한 솔루션은 종종 조직의 특정 인프라, 데이터 소스 및 보안 프로토콜에 맞게 조정해야 하므로 초기 비용이 더욱 증가합니다. 결론적으로, 높은 구현 및 운영 비용이 시장 성장을 저해하고 있습니다.

전개 모델 전망

배치 모델에 따라 이 시장은 온프레미스와 클라우드 기반으로 분류됩니다. 클라우드 기반 부문은 2023년 AI 기반 디지털 포렌식 시장에서 46%의 매출 점유율을 기록했습니다. 이러한 성장은 유연성과 확장성이 가장 중요한 다양한 산업에서 클라우드 기술의 채택이 증가함에 따라 주도되고 있습니다. 클라우드 기반 디지털 포렌식 솔루션을 통해 조직은 대규모 온프레미스 인프라 없이도 데이터를 분석할 수 있어 비용과 리소스 부담을 줄일 수 있습니다.

구성요소 전망

구성요소에 따라 이 시장은 소프트웨어와 서비스로 나뉘며, 2023년에는 서비스 부문이 AI 기반 디지털 포렌식 시장에서 36%의 매출 점유율을 차지했습니다. 조직은 복잡한 사이버 보안 과제를 극복하기 위해 법의학 분석, 데이터 복구 및 사고 대응과 같은 전문 서비스에 점점 더 의존하고 있습니다. 이러한 서비스는 이러한 디지털 포렌식 도구를 기존 워크플로우에 효과적으로 통합할 수 있도록 도와줍니다.

용도 전망

용도에 따라 이 시장은 네트워크 포렌식, 엔드포인트 포렌식, 클라우드 포렌식, 멀웨어 포렌식, 모바일 포렌식, 기타로 분류되며, 2023년에는 클라우드 포렌식 부문이 AI 기반 디지털 포렌식 시장에서 17%의 매출 점유율을 차지했습니다. 디지털 포렌식 시장에서 17%의 매출 점유율을 차지할 것으로 예상됩니다. 클라우드 환경으로 전환하는 기업이 증가함에 따라 이러한 공간에서 사건을 효과적으로 조사할 수 있는 도구에 대한 수요가 증가하고 있습니다. 클라우드 포렌식은 클라우드 서비스에서 데이터를 수집하고 분석하는 데 초점을 맞추고 있지만, 데이터 스토리지의 분산된 특성과 서비스 제공업체와 고객 간의 책임 공유의 복잡성으로 인해 고유한 문제가 발생합니다.

조직 규모 전망

조직 규모에 따라 이 시장은 중소기업과 대기업으로 나뉘며, 2023년에는 대기업 부문이 AI 기반 디지털 포렌식 시장에서 68%의 매출 점유율을 기록했습니다. 대규모 조직은 규모, 복잡성 및 광범위한 디지털 자산으로 인해 사이버 위협의 양이 증가하는 경우가 많기 때문에 강력한 포렌식 기능이 필요합니다. 이러한 기업들은 사고 대응 및 조사 프로세스를 강화하고 위험을 효과적으로 관리 및 완화하기 위해 AI 기반 솔루션을 채택하는 사례가 증가하고 있습니다.

최종 용도 전망

최종 용도에 따라 이 시장은 BFSI, 정부 및 법집행기관, IT 및 통신, 의료, 소매 및 E-Commerce, 국방, 에너지 및 공공, 기타로 분류됩니다. 정부 및 법집행기관 부문은 2023년 AI 기반 디지털 포렌식 시장에서 19%의 매출 점유율을 차지했습니다. 정부 기관과 법집행기관은 사이버 범죄를 조사하고, 증거를 수집하고, 국가 안보를 보장하기 위해 디지털 포렌식에 크게 의존하고 있습니다. 사이버 위협의 복잡성과 양이 증가함에 따라 이러한 조직은 조사 활동을 지원하기 위해 고급 디지털 포렌식 도구가 필요합니다.

지역 전망

지역별로는 북미, 유럽, 아시아태평양, 라틴아메리카, 중동 및 아프리카에서 분석되었으며, 2023년 아시아태평양은 AI 기반 디지털 포렌식 시장에서 27%의 매출 점유율을 차지했습니다. 이 지역에서 디지털 기술을 채택하는 국가가 증가함에 따라 강력한 사이버 보안 대책에 대한 수요가 급증하고 있습니다. 사이버 범죄 사건의 증가와 IT 인프라 및 클라우드 서비스에 대한 막대한 투자로 인해 효과적인 디지털 포렌식 솔루션의 필요성이 강조되고 있습니다. 금융, 정부 및 의료 기관들은 이러한 디지털 포렌식을 활용하여 현지 규정 준수를 보장하고 고도화된 사이버 위협에 대한 대응력을 향상시키고 있으며, 이는 세계 시장에서 디지털 포렌식이 차지하는 중요성이 커지고 있음을 보여줍니다.

시장 경쟁 및 특성

AI 기반 디지털 포렌식 시장은 수많은 스타트업과 신생기업들이 치열한 경쟁을 벌이고 있는 것이 특징입니다. 이러한 단편적인 환경은 기업들이 첨단 기술을 활용해 조사 역량을 강화하면서 혁신을 촉진하고 있습니다. 다양한 전문 분야와 솔루션이 존재하며, 효율적인 데이터 분석, 실시간 위협 탐지, 사이버 보안 대책 개선에 대한 수요로 인해 경쟁이 촉진되어 역동적이고 빠르게 진화하는 분야가 되고 있습니다.

목차

제1장 시장 범위와 조사 방법

  • 시장 정의
  • 목적
  • 시장 범위
  • 세분화
  • 조사 방법

제2장 시장 요람

  • 주요 하이라이트

제3장 시장 개요

  • 소개
    • 개요
      • 시장 구성과 시나리오
  • 시장에 영향을 미치는 주요 요인
    • 시장 성장 촉진요인
    • 시장 성장 억제요인
    • 시장 기회
    • 시장 과제

제4장 경쟁 분석 - 세계

  • KBV Cardinal Matrix
  • 최근 업계 전체의 전략적 전개
    • 파트너십, 협업, 계약
    • 제품 발매와 제품 확대
    • 인수와 합병
  • 주요 성공 전략
    • 주요 전략
    • 주요 전략적 활동
  • Porter's Five Forces 분석

제5장 세계의 AI 기반 디지털 포렌식 시장 : 전개 모델별

  • 세계의 온프레미스 시장 : 지역별
  • 세계의 클라우드 시장 : 지역별

제6장 세계의 AI 기반 디지털 포렌식 시장 : 구성요소별

  • 세계의 소프트웨어 시장 : 지역별
  • 세계의 서비스 시장 : 지역별
  • 세계의 AI 기반 디지털 포렌식 시장 : 서비스 유형별

제7장 세계의 AI 기반 디지털 포렌식 시장 : 용도별

  • 세계 네트워크 포렌식 시장 : 지역별
  • 세계의 엔드포인트 포렌식 시장 : 지역별
  • 세계의 클라우드 포렌식 시장 : 지역별
  • 세계의 멀웨어 포렌식 시장 : 지역별
  • 세계의 모바일 포렌식·기타 용도 시장 : 지역별

제8장 세계의 AI 기반 디지털 포렌식 시장 : 조직 규모별

  • 세계의 대기업 시장 : 지역별
  • 세계의 중소기업 시장 : 지역별

제9장 세계의 AI 기반 디지털 포렌식 시장 : 최종 용도별

  • 세계의 BFSI 시장 : 지역별
  • 세계의 정부·법집행기관 시장 : 지역별
  • 세계의 IT·통신 시장 : 지역별
  • 세계의 헬스케어 시장 : 지역별
  • 세계의 소매·E-Commerce 시장 : 지역별
  • 세계의 방위 시장 : 지역별
  • 세계의 에너지·유틸리티 시장 : 지역별
  • 세계의 기타 최종 용도 시장 : 지역별

제10장 세계의 AI 기반 디지털 포렌식 시장 : 지역별

  • 북미
    • 북미의 AI 기반 디지털 포렌식 시장 : 국가별
      • 미국
      • 캐나다
      • 멕시코
      • 기타 북미
  • 유럽
    • 유럽의 AI 기반 디지털 포렌식 시장 : 국가별
      • 독일
      • 영국
      • 프랑스
      • 러시아
      • 스페인
      • 이탈리아
      • 기타 유럽
  • 아시아태평양
    • 아시아태평양의 AI 기반 디지털 포렌식 시장 : 국가별
      • 중국
      • 일본
      • 인도
      • 한국
      • 호주
      • 말레이시아
      • 기타 아시아태평양
  • 라틴아메리카, 중동 및 아프리카
    • 라틴아메리카, 중동 및 아프리카 AI 기반 디지털 포렌식 시장 : 국가별
      • 브라질
      • 아르헨티나
      • 아랍에미리트
      • 사우디아라비아
      • 남아프리카공화국
      • 나이지리아
      • 기타 라틴아메리카, 중동 및 아프리카

제11장 기업 개요

  • Open Text Corporation
  • LogRhythm, Inc
  • Magnet Forensics Inc
  • Exterro, Inc(Leeds Equity Partners, LLC)
  • Cellebrite DI Ltd
  • Micro Systemation AB(MSAB)
  • Oxygen Forensics, Inc
  • Nuix Limited
  • ADF Solutions, Inc
  • IBM Corporation

제12장 AI 기반 디지털 포렌식 시장 성공 필수 조건

ksm 24.11.19

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.

The North America region witnessed 37% revenue share in this market in 2023. A strong presence of technology firms, financial institutions, and government agencies prioritizes digital forensics as a vital component of their cybersecurity strategies. Increased awareness of cyber threats, highlighted by significant data breaches, has led organizations to invest heavily in these digital forensics solutions.

The major strategies followed by the market participants are Product Launches as the key developmental strategy to keep pace with the changing demands of end users. For instance, In June, 2024, Oxygen Forensic released update to its Detective v.16.3. With this update, the company introduces enhancements to analysis and analytic tools, KeyScout, Device Extractor, supported applications, expanded cloud support, and other improvements. Moreover, In April, 2024, MSAB revealed its latest release, featuring robust new features and substantial updates aimed at advancing digital investigations for law enforcement and government agencies globally. The newest versions of XRY, XAMN, and XEC from MSAB promise to elevate mobile data extraction capabilities, streamline digital evidence analysis, and improve reporting efficiency significantly.

KBV Cardinal Matrix - AI-Driven Digital Forensics Market Competition Analysis

Based on the Analysis presented in the KBV Cardinal matrix; IBM Corporation are the forerunners in the AI-Driven Digital Forensics Market. In April, 2023, IBM Corporation released IBM Security QRadar Suite, a cloud-native, AI-powered cybersecurity solution designed for hybrid cloud environments. It unifies threat detection, investigation, and response across a single interface, enhancing SOC efficiency. Key features include AI-driven automation, pre-built integrations, and cloud-native log management for faster, more accurate threat response. Companies such as Open Text Corporation, Oxygen Forensics, Inc. , Exterro, Inc. are some of the key innovators in AI-Driven Digital Forensics Market.

Market Growth Factors

AI-powered forensics tools automate many aspects of the detection and response process, significantly reducing the time needed to investigate and address incidents. Real-time monitoring solutions improve the speed and accuracy of incident response by utilizing machine learning algorithms that can identify patterns that suggest malicious activity. This enables the mitigation of threats before their escalation. In conclusion, the need for real-time monitoring and incident response capabilities is propelling the market's growth.

Additionally, Cybercrime has evolved to include advanced threats, like phishing, ransomware, and nation-state-backed attacks, which are becoming increasingly complex and harder to detect. Traditional forensic tools struggle to keep up with these advanced threats, creating demand for AI-driven solutions that can quickly and accurately analyze complex attack patterns, identify vulnerabilities, and provide actionable insights. Thus, rising cybersecurity threats and cybercrime incidents drive the market's growth.

Market Restraining Factors

However, Implementing AI-driven digital forensic solutions requires a significant upfront investment, including purchasing advanced software and hardware and costs associated with customization and integration. These solutions must often be tailored to align with an organization's specific infrastructure, data sources, and security protocols, further driving up the initial expenses. In conclusion, high implementation and operational costs hinder the market's growth.

Deployment Model Outlook

Based on deployment model, this market is categorized into on-premises and cloud-based. The cloud-based segment witnessed 46% revenue share in the AI-driven digital forensics market in 2023. This growth is driven by the increasing adoption of cloud technologies across various industries, where flexibility and scalability are paramount. Cloud-based digital forensics solutions allow organizations to analyze data without extensive on-premises infrastructure, reducing costs and resource burdens.

Component Outlook

Based on component, this market is divided into software and services. In 2023, the services segment attained 36% revenue share in the AI-driven digital forensics market. Organizations increasingly rely on expert services such as forensic analysis, data recovery, and incident response to navigate complex cybersecurity challenges. These services ensure that these digital forensics tools are effectively integrated into existing workflows.

Application Outlook

On the basis of application, this market is segmented into network forensics, endpoint forensics, cloud forensics, malware forensics, mobile forensics, and others. In 2023, the cloud forensics segment attained 17% revenue share in the AI-driven digital forensics market. As more businesses migrate to cloud environments, the demand for tools to effectively investigate incidents in these spaces has increased. Cloud forensics focuses on collecting and analyzing data from cloud services, which presents unique challenges due to the distributed nature of data storage and the complexities of shared responsibilities between service providers and clients.

Organization Size Outlook

By organization size, this market is bifurcated into small & medium enterprise and large enterprise. In 2023, the large enterprise segment registered 68% revenue share in the AI-driven digital forensics market. 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.

End-use Outlook

Based on end-use, this market is divided into BFSI, government & law enforcement, IT & telecom, healthcare, retail & e-commerce, defense, energy & utilities, and others. The government & law enforcement segment attained 19% revenue share in the AI-driven digital forensics market in 2023. Government agencies and law enforcement organizations rely heavily on digital forensics to investigate cybercrimes, gather evidence, and ensure national security. As the complexity and volume of cyber threats increase, these entities require sophisticated digital forensic tools to support their investigative efforts.

Regional Outlook

Region-wise, this market is analyzed across North America, Europe, Asia Pacific, and LAMEA. In 2023, the Asia Pacific region generated 27% revenue share in the AI-driven digital forensics market. As more countries in this region adopt digital technologies, the demand for robust cybersecurity measures has surged. The rise in cybercrime incidents and significant investments in IT infrastructure and cloud services emphasize the need for effective digital forensics solutions. Finance, government, and healthcare organizations are increasingly leveraging these digital forensics to ensure compliance with local regulations and improve their response to sophisticated cyber threats, highlighting the region's growing importance in the global market.

Market Competition and Attributes

The AI-driven digital forensics market is characterized by intense competition among numerous emerging players and startups. This fragmented landscape fosters innovation as companies leverage advanced technologies to enhance investigative capabilities. With varying specializations and solutions, competition is driven by the demand for efficient data analysis, real-time threat detection, and improved cybersecurity measures, making it a dynamic and rapidly evolving field.

Recent Strategies Deployed in the Market

  • Apr-2024: LogRhythm, Inc. introduced new enhancements for its Axon platform for compliance auditing, threat detection, and case management. Key updates include dashboard sharing via GitHub, streamlined auditing for standards like PCI-DSS 4.0 and HIPAA, enhanced MITRE ATT&CK use cases, and improved data management, boosting security teams' efficiency and threat response.
  • Jan-2024: Oxygen Forensics extended its distribution agreement with mh Service, a leading provider of services and products related to IT, mobile phone, and audio-visual forensics, for the India region. This strategic partnership represents a significant milestone in the digital forensics industry and highlights Oxygen Forensics' dedication to broadening its footprint in crucial global markets.
  • Nov-2023: Exterro completed the acquisition of Divebell, a leading SaaS solution specializing in data discovery. This strategic acquisition integrates Divebell's advanced data discovery capabilities with Exterro's comprehensive legal GRC platform. By leveraging Divebell's sophisticated tools alongside Exterro's robust information governance workflows, Exterro strengthens its position as the sole entity capable of addressing the complex legal, regulatory, and compliance data challenges encountered by corporations, government organizations, and global enterprises.
  • Oct-2023: Exterro Inc. came into partnership with ADF Solutions, Inc., the innovator behind rapid mobile evidence acquisition tools designed to automate targeted smartphone data collection for litigation, compliance, and investigations, have announced a strategic technology partnership. Through this partnership, Exterro customers will gain access to ADF Solutions' mobile device collection software. This software equips Exterro customers with capabilities such as previewing, screenshotting, screen recording, and efficiently collecting digital data stored on Apple iOS and Android smartphones, all within minutes. Additionally, the partnership aims to enhance the efficiency and effectiveness of digital investigations for Exterro's clientele.
  • Sep-2023: Exterro unveiled Exterro FTK 8.0, a state-of-the-art digital investigations solution recognized for its speed, stability, and user-friendly design. Featuring the fastest scalable processing engine available, FTK 8.0 introduces powerful automations aimed at enhancing efficiency in forensic workflows, enabling agencies to expedite case closures. This latest version addresses forensic investigators' challenges by incorporating artifact-based filtering for automatic artifact identification and investigation scope reduction based on examiner requirements. Additionally, it includes an interactive timeline feature that facilitates comparison of evidence sets across different devices, further aiding in comprehensive forensic analysis.

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.

Global 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

By Geography

  • North America
    • US
    • Canada
    • Mexico
    • Rest of North America
  • Europe
    • Germany
    • UK
    • France
    • Russia
    • Spain
    • Italy
    • Rest of Europe
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Australia
    • Malaysia
    • Rest of Asia Pacific
  • LAMEA
    • Brazil
    • Argentina
    • UAE
    • Saudi Arabia
    • South Africa
    • Nigeria
  • Rest of LAMEA

Table of Contents

Chapter 1. Market Scope & Methodology

  • 1.1 Market Definition
  • 1.2 Objectives
  • 1.3 Market Scope
  • 1.4 Segmentation
    • 1.4.1 Global AI-driven Digital Forensics Market, by Deployment Model
    • 1.4.2 Global AI-driven Digital Forensics Market, by Component
    • 1.4.3 Global AI-driven Digital Forensics Market, by Application
    • 1.4.4 Global AI-driven Digital Forensics Market, by Organization Size
    • 1.4.5 Global AI-driven Digital Forensics Market, by End-use
    • 1.4.6 Global AI-driven Digital Forensics Market, by Geography
  • 1.5 Methodology for the research

Chapter 2. Market at a Glance

  • 2.1 Key Highlights

Chapter 3. Market Overview

  • 3.1 Introduction
    • 3.1.1 Overview
      • 3.1.1.1 Market Composition and Scenario
  • 3.2 Key Factors Impacting the Market
    • 3.2.1 Market Drivers
    • 3.2.2 Market Restraints
    • 3.2.3 Market Opportunities
    • 3.2.4 Market Challenges

Chapter 4. Competition Analysis - Global

  • 4.1 KBV Cardinal Matrix
  • 4.2 Recent Industry Wide Strategic Developments
    • 4.2.1 Partnerships, Collaborations and Agreements
    • 4.2.2 Product Launches and Product Expansions
    • 4.2.3 Acquisition and Mergers
  • 4.3 Top Winning Strategies
    • 4.3.1 Key Leading Strategies: Percentage Distribution (2020-2024)
    • 4.3.2 Key Strategic Move: (Product Launches and Product Expansions : 2022, Aug - 2024, Jun) Leading Players
  • 4.4 Porter Five Forces Analysis

Chapter 5. Global AI-driven Digital Forensics Market by Deployment Model

  • 5.1 Global On-premise Market by Region
  • 5.2 Global Cloud Market by Region

Chapter 6. Global AI-driven Digital Forensics Market by Component

  • 6.1 Global Software Market by Region
  • 6.2 Global Services Market by Region
  • 6.3 Global AI-driven Digital Forensics Market by Services Type
    • 6.3.1 Global Professional Services Market by Region
    • 6.3.2 Global Managed Services Market by Region

Chapter 7. Global AI-driven Digital Forensics Market by Application

  • 7.1 Global Network Forensics Market by Region
  • 7.2 Global Endpoint Forensics Market by Region
  • 7.3 Global Cloud Forensics Market by Region
  • 7.4 Global Malware Forensics Market by Region
  • 7.5 Global Mobile Forensics & Other Application Market by Region

Chapter 8. Global AI-driven Digital Forensics Market by Organization Size

  • 8.1 Global Large Enterprise Market by Region
  • 8.2 Global Small & Medium Enterprise Market by Region

Chapter 9. Global AI-driven Digital Forensics Market by End-use

  • 9.1 Global BFSI Market by Region
  • 9.2 Global Government & Law Enforcement Market by Region
  • 9.3 Global IT & Telecom Market by Region
  • 9.4 Global Healthcare Market by Region
  • 9.5 Global Retail & eCommerce Market by Region
  • 9.6 Global Defense Market by Region
  • 9.7 Global Energy & Utilities Market by Region
  • 9.8 Global Other End-use Market by Region

Chapter 10. Global AI-driven Digital Forensics Market by Region

  • 10.1 North America AI-driven Digital Forensics Market
    • 10.1.1 North America AI-driven Digital Forensics Market by Deployment Model
      • 10.1.1.1 North America On-premise Market by Region
      • 10.1.1.2 North America Cloud Market by Region
    • 10.1.2 North America AI-driven Digital Forensics Market by Component
      • 10.1.2.1 North America Software Market by Country
      • 10.1.2.2 North America Services Market by Country
      • 10.1.2.3 North America AI-driven Digital Forensics Market by Services Type
        • 10.1.2.3.1 North America Professional Services Market by Country
        • 10.1.2.3.2 North America Managed Services Market by Country
    • 10.1.3 North America AI-driven Digital Forensics Market by Application
      • 10.1.3.1 North America Network Forensics Market by Country
      • 10.1.3.2 North America Endpoint Forensics Market by Country
      • 10.1.3.3 North America Cloud Forensics Market by Country
      • 10.1.3.4 North America Malware Forensics Market by Country
      • 10.1.3.5 North America Mobile Forensics & Other Application Market by Country
    • 10.1.4 North America AI-driven Digital Forensics Market by Organization Size
      • 10.1.4.1 North America Large Enterprise Market by Country
      • 10.1.4.2 North America Small & Medium Enterprise Market by Country
    • 10.1.5 North America AI-driven Digital Forensics Market by End-use
      • 10.1.5.1 North America BFSI Market by Country
      • 10.1.5.2 North America Government & Law Enforcement Market by Country
      • 10.1.5.3 North America IT & Telecom Market by Country
      • 10.1.5.4 North America Healthcare Market by Country
      • 10.1.5.5 North America Retail & eCommerce Market by Country
      • 10.1.5.6 North America Defense Market by Country
      • 10.1.5.7 North America Energy & Utilities Market by Country
      • 10.1.5.8 North America Other End-use Market by Country
    • 10.1.6 North America AI-driven Digital Forensics Market by Country
      • 10.1.6.1 US AI-driven Digital Forensics Market
        • 10.1.6.1.1 US AI-driven Digital Forensics Market by Deployment Model
        • 10.1.6.1.2 US AI-driven Digital Forensics Market by Component
          • 10.1.6.1.2.1 US AI-driven Digital Forensics Market by Services Type
        • 10.1.6.1.3 US AI-driven Digital Forensics Market by Application
        • 10.1.6.1.4 US AI-driven Digital Forensics Market by Organization Size
        • 10.1.6.1.5 US AI-driven Digital Forensics Market by End-use
      • 10.1.6.2 Canada AI-driven Digital Forensics Market
        • 10.1.6.2.1 Canada AI-driven Digital Forensics Market by Deployment Model
        • 10.1.6.2.2 Canada AI-driven Digital Forensics Market by Component
          • 10.1.6.2.2.1 Canada AI-driven Digital Forensics Market by Services Type
        • 10.1.6.2.3 Canada AI-driven Digital Forensics Market by Application
        • 10.1.6.2.4 Canada AI-driven Digital Forensics Market by Organization Size
        • 10.1.6.2.5 Canada AI-driven Digital Forensics Market by End-use
      • 10.1.6.3 Mexico AI-driven Digital Forensics Market
        • 10.1.6.3.1 Mexico AI-driven Digital Forensics Market by Deployment Model
        • 10.1.6.3.2 Mexico AI-driven Digital Forensics Market by Component
          • 10.1.6.3.2.1 Mexico AI-driven Digital Forensics Market by Services Type
        • 10.1.6.3.3 Mexico AI-driven Digital Forensics Market by Application
        • 10.1.6.3.4 Mexico AI-driven Digital Forensics Market by Organization Size
        • 10.1.6.3.5 Mexico AI-driven Digital Forensics Market by End-use
      • 10.1.6.4 Rest of North America AI-driven Digital Forensics Market
        • 10.1.6.4.1 Rest of North America AI-driven Digital Forensics Market by Deployment Model
        • 10.1.6.4.2 Rest of North America AI-driven Digital Forensics Market by Component
          • 10.1.6.4.2.1 Rest of North America AI-driven Digital Forensics Market by Services Type
        • 10.1.6.4.3 Rest of North America AI-driven Digital Forensics Market by Application
        • 10.1.6.4.4 Rest of North America AI-driven Digital Forensics Market by Organization Size
        • 10.1.6.4.5 Rest of North America AI-driven Digital Forensics Market by End-use
  • 10.2 Europe AI-driven Digital Forensics Market
    • 10.2.1 Europe AI-driven Digital Forensics Market by Deployment Model
      • 10.2.1.1 Europe On-premise Market by Country
      • 10.2.1.2 Europe Cloud Market by Country
    • 10.2.2 Europe AI-driven Digital Forensics Market by Component
      • 10.2.2.1 Europe Software Market by Country
      • 10.2.2.2 Europe Services Market by Country
      • 10.2.2.3 Europe AI-driven Digital Forensics Market by Services Type
        • 10.2.2.3.1 Europe Professional Services Market by Country
        • 10.2.2.3.2 Europe Managed Services Market by Country
    • 10.2.3 Europe AI-driven Digital Forensics Market by Application
      • 10.2.3.1 Europe Network Forensics Market by Country
      • 10.2.3.2 Europe Endpoint Forensics Market by Country
      • 10.2.3.3 Europe Cloud Forensics Market by Country
      • 10.2.3.4 Europe Malware Forensics Market by Country
      • 10.2.3.5 Europe Mobile Forensics & Other Application Market by Country
    • 10.2.4 Europe AI-driven Digital Forensics Market by Organization Size
      • 10.2.4.1 Europe Large Enterprise Market by Country
      • 10.2.4.2 Europe Small & Medium Enterprise Market by Country
    • 10.2.5 Europe AI-driven Digital Forensics Market by End-use
      • 10.2.5.1 Europe BFSI Market by Country
      • 10.2.5.2 Europe Government & Law Enforcement Market by Country
      • 10.2.5.3 Europe IT & Telecom Market by Country
      • 10.2.5.4 Europe Healthcare Market by Country
      • 10.2.5.5 Europe Retail & eCommerce Market by Country
      • 10.2.5.6 Europe Defense Market by Country
      • 10.2.5.7 Europe Energy & Utilities Market by Country
      • 10.2.5.8 Europe Other End-use Market by Country
    • 10.2.6 Europe AI-driven Digital Forensics Market by Country
      • 10.2.6.1 Germany AI-driven Digital Forensics Market
        • 10.2.6.1.1 Germany AI-driven Digital Forensics Market by Deployment Model
        • 10.2.6.1.2 Germany AI-driven Digital Forensics Market by Component
          • 10.2.6.1.2.1 Germany AI-driven Digital Forensics Market by Services Type
        • 10.2.6.1.3 Germany AI-driven Digital Forensics Market by Application
        • 10.2.6.1.4 Germany AI-driven Digital Forensics Market by Organization Size
        • 10.2.6.1.5 Germany AI-driven Digital Forensics Market by End-use
      • 10.2.6.2 UK AI-driven Digital Forensics Market
        • 10.2.6.2.1 UK AI-driven Digital Forensics Market by Deployment Model
        • 10.2.6.2.2 UK AI-driven Digital Forensics Market by Component
          • 10.2.6.2.2.1 UK AI-driven Digital Forensics Market by Services Type
        • 10.2.6.2.3 UK AI-driven Digital Forensics Market by Application
        • 10.2.6.2.4 UK AI-driven Digital Forensics Market by Organization Size
        • 10.2.6.2.5 UK AI-driven Digital Forensics Market by End-use
      • 10.2.6.3 France AI-driven Digital Forensics Market
        • 10.2.6.3.1 France AI-driven Digital Forensics Market by Deployment Model
        • 10.2.6.3.2 France AI-driven Digital Forensics Market by Component
          • 10.2.6.3.2.1 France AI-driven Digital Forensics Market by Services Type
        • 10.2.6.3.3 France AI-driven Digital Forensics Market by Application
        • 10.2.6.3.4 France AI-driven Digital Forensics Market by Organization Size
        • 10.2.6.3.5 France AI-driven Digital Forensics Market by End-use
      • 10.2.6.4 Russia AI-driven Digital Forensics Market
        • 10.2.6.4.1 Russia AI-driven Digital Forensics Market by Deployment Model
        • 10.2.6.4.2 Russia AI-driven Digital Forensics Market by Component
          • 10.2.6.4.2.1 Russia AI-driven Digital Forensics Market by Services Type
        • 10.2.6.4.3 Russia AI-driven Digital Forensics Market by Application
        • 10.2.6.4.4 Russia AI-driven Digital Forensics Market by Organization Size
        • 10.2.6.4.5 Russia AI-driven Digital Forensics Market by End-use
      • 10.2.6.5 Spain AI-driven Digital Forensics Market
        • 10.2.6.5.1 Spain AI-driven Digital Forensics Market by Deployment Model
        • 10.2.6.5.2 Spain AI-driven Digital Forensics Market by Component
          • 10.2.6.5.2.1 Spain AI-driven Digital Forensics Market by Services Type
        • 10.2.6.5.3 Spain AI-driven Digital Forensics Market by Application
        • 10.2.6.5.4 Spain AI-driven Digital Forensics Market by Organization Size
        • 10.2.6.5.5 Spain AI-driven Digital Forensics Market by End-use
      • 10.2.6.6 Italy AI-driven Digital Forensics Market
        • 10.2.6.6.1 Italy AI-driven Digital Forensics Market by Deployment Model
        • 10.2.6.6.2 Italy AI-driven Digital Forensics Market by Component
          • 10.2.6.6.2.1 Italy AI-driven Digital Forensics Market by Services Type
        • 10.2.6.6.3 Italy AI-driven Digital Forensics Market by Application
        • 10.2.6.6.4 Italy AI-driven Digital Forensics Market by Organization Size
        • 10.2.6.6.5 Italy AI-driven Digital Forensics Market by End-use
      • 10.2.6.7 Rest of Europe AI-driven Digital Forensics Market
        • 10.2.6.7.1 Rest of Europe AI-driven Digital Forensics Market by Deployment Model
        • 10.2.6.7.2 Rest of Europe AI-driven Digital Forensics Market by Component
          • 10.2.6.7.2.1 Rest of Europe AI-driven Digital Forensics Market by Services Type
        • 10.2.6.7.3 Rest of Europe AI-driven Digital Forensics Market by Application
        • 10.2.6.7.4 Rest of Europe AI-driven Digital Forensics Market by Organization Size
        • 10.2.6.7.5 Rest of Europe AI-driven Digital Forensics Market by End-use
  • 10.3 Asia Pacific AI-driven Digital Forensics Market
    • 10.3.1 Asia Pacific AI-driven Digital Forensics Market by Deployment Model
      • 10.3.1.1 Asia Pacific On-premise Market by Country
      • 10.3.1.2 Asia Pacific Cloud Market by Country
    • 10.3.2 Asia Pacific AI-driven Digital Forensics Market by Component
      • 10.3.2.1 Asia Pacific Software Market by Country
      • 10.3.2.2 Asia Pacific Services Market by Country
      • 10.3.2.3 Asia Pacific AI-driven Digital Forensics Market by Services Type
        • 10.3.2.3.1 Asia Pacific Professional Services Market by Country
        • 10.3.2.3.2 Asia Pacific Managed Services Market by Country
    • 10.3.3 Asia Pacific AI-driven Digital Forensics Market by Application
      • 10.3.3.1 Asia Pacific Network Forensics Market by Country
      • 10.3.3.2 Asia Pacific Endpoint Forensics Market by Country
      • 10.3.3.3 Asia Pacific Cloud Forensics Market by Country
      • 10.3.3.4 Asia Pacific Malware Forensics Market by Country
      • 10.3.3.5 Asia Pacific Mobile Forensics & Other Application Market by Country
    • 10.3.4 Asia Pacific AI-driven Digital Forensics Market by Organization Size
      • 10.3.4.1 Asia Pacific Large Enterprise Market by Country
      • 10.3.4.2 Asia Pacific Small & Medium Enterprise Market by Country
    • 10.3.5 Asia Pacific AI-driven Digital Forensics Market by End-use
      • 10.3.5.1 Asia Pacific BFSI Market by Country
      • 10.3.5.2 Asia Pacific Government & Law Enforcement Market by Country
      • 10.3.5.3 Asia Pacific IT & Telecom Market by Country
      • 10.3.5.4 Asia Pacific Healthcare Market by Country
      • 10.3.5.5 Asia Pacific Retail & eCommerce Market by Country
      • 10.3.5.6 Asia Pacific Defense Market by Country
      • 10.3.5.7 Asia Pacific Energy & Utilities Market by Country
      • 10.3.5.8 Asia Pacific Other End-use Market by Country
    • 10.3.6 Asia Pacific AI-driven Digital Forensics Market by Country
      • 10.3.6.1 China AI-driven Digital Forensics Market
        • 10.3.6.1.1 China AI-driven Digital Forensics Market by Deployment Model
        • 10.3.6.1.2 China AI-driven Digital Forensics Market by Component
          • 10.3.6.1.2.1 China AI-driven Digital Forensics Market by Services Type
        • 10.3.6.1.3 China AI-driven Digital Forensics Market by Application
        • 10.3.6.1.4 China AI-driven Digital Forensics Market by Organization Size
        • 10.3.6.1.5 China AI-driven Digital Forensics Market by End-use
      • 10.3.6.2 Japan AI-driven Digital Forensics Market
        • 10.3.6.2.1 Japan AI-driven Digital Forensics Market by Deployment Model
        • 10.3.6.2.2 Japan AI-driven Digital Forensics Market by Component
          • 10.3.6.2.2.1 Japan AI-driven Digital Forensics Market by Services Type
        • 10.3.6.2.3 Japan AI-driven Digital Forensics Market by Application
        • 10.3.6.2.4 Japan AI-driven Digital Forensics Market by Organization Size
        • 10.3.6.2.5 Japan AI-driven Digital Forensics Market by End-use
      • 10.3.6.3 India AI-driven Digital Forensics Market
        • 10.3.6.3.1 India AI-driven Digital Forensics Market by Deployment Model
        • 10.3.6.3.2 India AI-driven Digital Forensics Market by Component
          • 10.3.6.3.2.1 India AI-driven Digital Forensics Market by Services Type
        • 10.3.6.3.3 India AI-driven Digital Forensics Market by Application
        • 10.3.6.3.4 India AI-driven Digital Forensics Market by Organization Size
        • 10.3.6.3.5 India AI-driven Digital Forensics Market by End-use
      • 10.3.6.4 South Korea AI-driven Digital Forensics Market
        • 10.3.6.4.1 South Korea AI-driven Digital Forensics Market by Deployment Model
        • 10.3.6.4.2 South Korea AI-driven Digital Forensics Market by Component
          • 10.3.6.4.2.1 South Korea AI-driven Digital Forensics Market by Services Type
        • 10.3.6.4.3 South Korea AI-driven Digital Forensics Market by Application
        • 10.3.6.4.4 South Korea AI-driven Digital Forensics Market by Organization Size
        • 10.3.6.4.5 South Korea AI-driven Digital Forensics Market by End-use
      • 10.3.6.5 Australia AI-driven Digital Forensics Market
        • 10.3.6.5.1 Australia AI-driven Digital Forensics Market by Deployment Model
        • 10.3.6.5.2 Australia AI-driven Digital Forensics Market by Component
          • 10.3.6.5.2.1 Australia AI-driven Digital Forensics Market by Services Type
        • 10.3.6.5.3 Australia AI-driven Digital Forensics Market by Application
        • 10.3.6.5.4 Australia AI-driven Digital Forensics Market by Organization Size
        • 10.3.6.5.5 Australia AI-driven Digital Forensics Market by End-use
      • 10.3.6.6 Malaysia AI-driven Digital Forensics Market
        • 10.3.6.6.1 Malaysia AI-driven Digital Forensics Market by Deployment Model
        • 10.3.6.6.2 Malaysia AI-driven Digital Forensics Market by Component
          • 10.3.6.6.2.1 Malaysia AI-driven Digital Forensics Market by Services Type
        • 10.3.6.6.3 Malaysia AI-driven Digital Forensics Market by Application
        • 10.3.6.6.4 Malaysia AI-driven Digital Forensics Market by Organization Size
        • 10.3.6.6.5 Malaysia AI-driven Digital Forensics Market by End-use
      • 10.3.6.7 Rest of Asia Pacific AI-driven Digital Forensics Market
        • 10.3.6.7.1 Rest of Asia Pacific AI-driven Digital Forensics Market by Deployment Model
        • 10.3.6.7.2 Rest of Asia Pacific AI-driven Digital Forensics Market by Component
          • 10.3.6.7.2.1 Rest of Asia Pacific AI-driven Digital Forensics Market by Services Type
        • 10.3.6.7.3 Rest of Asia Pacific AI-driven Digital Forensics Market by Application
        • 10.3.6.7.4 Rest of Asia Pacific AI-driven Digital Forensics Market by Organization Size
        • 10.3.6.7.5 Rest of Asia Pacific AI-driven Digital Forensics Market by End-use
  • 10.4 LAMEA AI-driven Digital Forensics Market
    • 10.4.1 LAMEA AI-driven Digital Forensics Market by Deployment Model
      • 10.4.1.1 LAMEA On-premise Market by Country
      • 10.4.1.2 LAMEA Cloud Market by Country
    • 10.4.2 LAMEA AI-driven Digital Forensics Market by Component
      • 10.4.2.1 LAMEA Software Market by Country
      • 10.4.2.2 LAMEA Services Market by Country
      • 10.4.2.3 LAMEA AI-driven Digital Forensics Market by Services Type
        • 10.4.2.3.1 LAMEA Professional Services Market by Country
        • 10.4.2.3.2 LAMEA Managed Services Market by Country
    • 10.4.3 LAMEA AI-driven Digital Forensics Market by Application
      • 10.4.3.1 LAMEA Network Forensics Market by Country
      • 10.4.3.2 LAMEA Endpoint Forensics Market by Country
      • 10.4.3.3 LAMEA Cloud Forensics Market by Country
      • 10.4.3.4 LAMEA Malware Forensics Market by Country
      • 10.4.3.5 LAMEA Mobile Forensics & Other Application Market by Country
    • 10.4.4 LAMEA AI-driven Digital Forensics Market by Organization Size
      • 10.4.4.1 LAMEA Large Enterprise Market by Country
      • 10.4.4.2 LAMEA Small & Medium Enterprise Market by Country
    • 10.4.5 LAMEA AI-driven Digital Forensics Market by End-use
      • 10.4.5.1 LAMEA BFSI Market by Country
      • 10.4.5.2 LAMEA Government & Law Enforcement Market by Country
      • 10.4.5.3 LAMEA IT & Telecom Market by Country
      • 10.4.5.4 LAMEA Healthcare Market by Country
      • 10.4.5.5 LAMEA Retail & eCommerce Market by Country
      • 10.4.5.6 LAMEA Defense Market by Country
      • 10.4.5.7 LAMEA Energy & Utilities Market by Country
      • 10.4.5.8 LAMEA Other End-use Market by Country
    • 10.4.6 LAMEA AI-driven Digital Forensics Market by Country
      • 10.4.6.1 Brazil AI-driven Digital Forensics Market
        • 10.4.6.1.1 Brazil AI-driven Digital Forensics Market by Deployment Model
        • 10.4.6.1.2 Brazil AI-driven Digital Forensics Market by Component
          • 10.4.6.1.2.1 Brazil AI-driven Digital Forensics Market by Services Type
        • 10.4.6.1.3 Brazil AI-driven Digital Forensics Market by Application
        • 10.4.6.1.4 Brazil AI-driven Digital Forensics Market by Organization Size
        • 10.4.6.1.5 Brazil AI-driven Digital Forensics Market by End-use
      • 10.4.6.2 Argentina AI-driven Digital Forensics Market
        • 10.4.6.2.1 Argentina AI-driven Digital Forensics Market by Deployment Model
        • 10.4.6.2.2 Argentina AI-driven Digital Forensics Market by Component
          • 10.4.6.2.2.1 Argentina AI-driven Digital Forensics Market by Services Type
        • 10.4.6.2.3 Argentina AI-driven Digital Forensics Market by Application
        • 10.4.6.2.4 Argentina AI-driven Digital Forensics Market by Organization Size
        • 10.4.6.2.5 Argentina AI-driven Digital Forensics Market by End-use
      • 10.4.6.3 UAE AI-driven Digital Forensics Market
        • 10.4.6.3.1 UAE AI-driven Digital Forensics Market by Deployment Model
        • 10.4.6.3.2 UAE AI-driven Digital Forensics Market by Component
          • 10.4.6.3.2.1 UAE AI-driven Digital Forensics Market by Services Type
        • 10.4.6.3.3 UAE AI-driven Digital Forensics Market by Application
        • 10.4.6.3.4 UAE AI-driven Digital Forensics Market by Organization Size
        • 10.4.6.3.5 UAE AI-driven Digital Forensics Market by End-use
      • 10.4.6.4 Saudi Arabia AI-driven Digital Forensics Market
        • 10.4.6.4.1 Saudi Arabia AI-driven Digital Forensics Market by Deployment Model
        • 10.4.6.4.2 Saudi Arabia AI-driven Digital Forensics Market by Component
          • 10.4.6.4.2.1 Saudi Arabia AI-driven Digital Forensics Market by Services Type
        • 10.4.6.4.3 Saudi Arabia AI-driven Digital Forensics Market by Application
        • 10.4.6.4.4 Saudi Arabia AI-driven Digital Forensics Market by Organization Size
        • 10.4.6.4.5 Saudi Arabia AI-driven Digital Forensics Market by End-use
      • 10.4.6.5 South Africa AI-driven Digital Forensics Market
        • 10.4.6.5.1 South Africa AI-driven Digital Forensics Market by Deployment Model
        • 10.4.6.5.2 South Africa AI-driven Digital Forensics Market by Component
          • 10.4.6.5.2.1 South Africa AI-driven Digital Forensics Market by Services Type
        • 10.4.6.5.3 South Africa AI-driven Digital Forensics Market by Application
        • 10.4.6.5.4 South Africa AI-driven Digital Forensics Market by Organization Size
        • 10.4.6.5.5 South Africa AI-driven Digital Forensics Market by End-use
      • 10.4.6.6 Nigeria AI-driven Digital Forensics Market
        • 10.4.6.6.1 Nigeria AI-driven Digital Forensics Market by Deployment Model
        • 10.4.6.6.2 Nigeria AI-driven Digital Forensics Market by Component
          • 10.4.6.6.2.1 Nigeria AI-driven Digital Forensics Market by Services Type
        • 10.4.6.6.3 Nigeria AI-driven Digital Forensics Market by Application
        • 10.4.6.6.4 Nigeria AI-driven Digital Forensics Market by Organization Size
        • 10.4.6.6.5 Nigeria AI-driven Digital Forensics Market by End-use
      • 10.4.6.7 Rest of LAMEA AI-driven Digital Forensics Market
        • 10.4.6.7.1 Rest of LAMEA AI-driven Digital Forensics Market by Deployment Model
        • 10.4.6.7.2 Rest of LAMEA AI-driven Digital Forensics Market by Component
          • 10.4.6.7.2.1 Rest of LAMEA AI-driven Digital Forensics Market by Services Type
        • 10.4.6.7.3 Rest of LAMEA AI-driven Digital Forensics Market by Application
        • 10.4.6.7.4 Rest of LAMEA AI-driven Digital Forensics Market by Organization Size
        • 10.4.6.7.5 Rest of LAMEA AI-driven Digital Forensics Market by End-use

Chapter 11. Company Profiles

  • 11.1 Open Text Corporation
    • 11.1.1 Company Overview
    • 11.1.2 Financial Analysis
    • 11.1.3 Regional Analysis
    • 11.1.4 Research & Development Expenses
    • 11.1.5 Recent strategies and developments:
      • 11.1.5.1 Product Launches and Product Expansions:
    • 11.1.6 SWOT Analysis
  • 11.2 LogRhythm, Inc.
    • 11.2.1 Company Overview
    • 11.2.2 Recent strategies and developments:
      • 11.2.2.1 Product Launches and Product Expansions:
    • 11.2.3 SWOT Analysis
  • 11.3 Magnet Forensics Inc.
    • 11.3.1 Company Overview
    • 11.3.2 Recent strategies and developments:
      • 11.3.2.1 Partnerships, Collaborations, and Agreements:
    • 11.3.3 SWOT Analysis
  • 11.4 Exterro, Inc. (Leeds Equity Partners, LLC)
    • 11.4.1 Company Overview
    • 11.4.2 Recent strategies and developments:
      • 11.4.2.1 Partnerships, Collaborations, and Agreements:
      • 11.4.2.2 Product Launches and Product Expansions:
      • 11.4.2.3 Acquisition and Mergers:
  • 11.5 Cellebrite DI Ltd.
    • 11.5.1 Company Overview
    • 11.5.2 Financial Analysis
    • 11.5.3 Regional Analysis
    • 11.5.4 Research & Development Expenses
    • 11.5.5 Recent strategies and developments:
      • 11.5.5.1 Partnerships, Collaborations, and Agreements:
      • 11.5.5.2 Acquisition and Mergers:
  • 11.6 Micro Systemation AB (MSAB)
    • 11.6.1 Company Overview
    • 11.6.2 Financial Analysis
    • 11.6.3 Segmental Analysis
    • 11.6.4 Recent strategies and developments:
      • 11.6.4.1 Partnerships, Collaborations, and Agreements:
      • 11.6.4.2 Product Launches and Product Expansions:
    • 11.6.5 SWOT Analysis
  • 11.7 Oxygen Forensics, Inc.
    • 11.7.1 Company Overview
    • 11.7.2 Recent strategies and developments:
      • 11.7.2.1 Partnerships, Collaborations, and Agreements:
      • 11.7.2.2 Product Launches and Product Expansions:
    • 11.7.3 SWOT Analysis
  • 11.8 Nuix Limited
    • 11.8.1 Company Overview
    • 11.8.2 SWOT Analysis
  • 11.9 ADF Solutions, Inc.
    • 11.9.1 Company Overview
    • 11.9.2 SWOT Analysis
  • 11.10. IBM Corporation
    • 11.10.1 Company Overview
    • 11.10.2 Financial Analysis
    • 11.10.3 Regional & Segmental Analysis
    • 11.10.4 Research & Development Expenses
    • 11.10.5 Recent strategies and developments:
      • 11.10.5.1 Product Launches and Product Expansions:
    • 11.10.6 SWOT Analysis

Chapter 12. Winning Imperatives for AI-Driven Digital Forensics Market

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