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

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    Report

  • 379 Pages
  • October 2024
  • Region: Global
  • Marqual IT Solutions Pvt. Ltd (KBV Research)
  • ID: 6025748
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.

Cardinal Matrix - Market Competition Analysis

Based on the Analysis presented in the 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.

Driving and Restraining Factors

Drivers

  • Need For Real-Time Monitoring And Incident Response Capabilities
  • Rising Cybersecurity Threats And Cybercrime Incidents
  • Growing Volume Of Digital Data Worldwide

Restraints

  • High Implementation And Operational Costs
  • Limited Standardization Impacting Interoperability And Compatibility

Opportunities

  • Emergence Of Cloud Computing And Remote Work Environments
  • Rise In Mobile And Iot Devices Creating Opportunities For Specialized Forensic Tools

Challenges

  • High Dependency On Data Quality And Availability
  • Ethical Concerns Surrounding The Use Of AI

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.

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.

By Regional Analysis

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.

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

    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.

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

Companies Mentioned

  • 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.

Methodology

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