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Global Digital Forensics Market to reach USD 23.15 billion by the end of 2030.

Global Digital Forensics Market Size study & Forecast, by Component (Software, Hardware, Services), by Type (Network Forensics, Mobile Device Forensics, Cloud Forensics, Others), by Deployment Mode (Cloud, On-Premise), by Vertical (Government and Defense, Law Enforcement, Others) and Regional Analysis, 2023-2030

Product Code: HLSB-52588972
Publish Date: 20-12-2023
Page: 200

Global Digital Forensics Market is valued at approximately USD 8.77 billion in 2022 and is anticipated to grow with a healthy growth rate of more than 12.9% over the forecast period 2023-2030. Digital forensics, also known as computer forensics, is a branch of forensic science that involves the collection, analysis, and preservation of electronic evidence to investigate and prevent cybercrime or other digital incidents. Digital forensics is used to uncover and analyze information from computer systems, networks, and digital devices to support legal and investigative activities. The Digital Forensics market is expanding because of factors such as growing incidents of cybercrimes and the rising integration of cloud platforms across various enterprises. As a result, the demand for Digital Forensics has progressively increased in the international market during the forecast period 2023-2030.

Cybercrimes often cross international borders, making digital forensics investigations more complex. Legal and jurisdictional issues could arise, requiring collaboration between law enforcement agencies from different countries. According to Statista, in 2022, Approximately four out of every ten internet users worldwide have been victims of cybercrime. Furthermore, as per the same source, India had a considerable increase in cybercrime recorded in 2021 compared to the previous year. Over 52 thousand cybercrime events were reported, while Karnataka and Uttar Pradesh had the highest proportion. Another important factor that drives the Digital Forensics Market is the rising integration of cloud platforms across various enterprises. Cloud platforms typically host data from multiple clients in a shared environment. Digital forensics professionals need to address issues related to multi-tenancy, ensuring the isolation and integrity of the evidence specific to the investigated case. In addition, as per Statista, 75% of enterprises surveyed expressed their adoption of Microsoft Azure for public cloud usage. The leading cloud computing platform providers globally, often referred to as hyperscale’s, include Amazon Web Service, Microsoft Azure, and Google Cloud. Moreover, the increasing number of mobile devices and rising government initiatives towards digital surveillance platforms are anticipated to create lucrative growth opportunities for the market over the forecast period. However, the lack of skilled professionals and the high cost associated with digital forensics tools and services is going to impede overall market growth throughout the forecast period of 2023-2030.

The key regions considered for the Global Digital Forensics Market study includes Asia Pacific, North America, Europe, Latin America, and Middle East & Africa. North America dominated the market in 2022 owing to the rise in cybercrime incidences and the requirement to comply with numerous government compliances enforced to secure organizational data in the region. The region’s dominant performance is anticipated to propel the overall demand for Digital Forensics. Furthermore, Asia Pacific is expected to grow fastest over the forecast period, owing to factors such as increased usage of cloud-based solutions has significantly impacted the field of digital forensics. As organizations transition their data and operations to the cloud, digital forensics practices have had to adapt to address the unique challenges and opportunities presented by cloud computing in the region.

Major market player included in this report are:
International Business Machines Corporation
Cisco Systems, Inc
Cellebrite DI Ltd
OpenText Corporation
Nuix Limited
Exterro Inc
MSAB Group
Magnet Forensics Inc
LogRhythm, Inc
KLDiscovery Inc

Recent Developments in the Market:
Ø In September 2023, SentinelOne, a global leader in autonomous cybersecurity, is expanding its forensics capabilities in order to make things easier. Singularity RemoteOps Forensics is a new digital forensics product offering that enables businesses of all sizes to execute efficient and streamlined investigation and response activities at unprecedented speed and scale. It is fully integrated with the SentinelOne agent, eliminates the need to deploy and provision different tools during investigations, saving organisations both time and resources. The technology makes investigations more forensically sound because little changes are made to the disc, and SentinelOne leverages its anti-tampering and metadata gathering capabilities to ensure data integrity is maintained.
Global Digital Forensics Market Report Scope:
ü Historical Data – 2020 – 2021
ü Base Year for Estimation – 2022
ü Forecast period – 2023-2030
ü Report Coverage – Revenue forecast, Company Ranking, Competitive Landscape, Growth factors, and Trends
ü Segments Covered – Component, Type, Deployment Mode, Vertical, Region
ü Regional Scope – North America; Europe; Asia Pacific; Latin America; Middle East & Africa
ü Customization Scope – Free report customization (equivalent up to 8 analyst’s working hours) with purchase. Addition or alteration to country, regional & segment scope*

The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within countries involved in the study.

The report also caters detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, it also incorporates potential opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below:

By Component:

By Type:
Network Forensics
Mobile Device Forensics
Cloud Forensics

By Deployment Mode:

By Vertical:
Government and Defense
Law Enforcement
Banking, Financial Services, and Insurance (BFSI)
IT & Telecom
Energy and Utilities

By Region:

North America


Asia Pacific
South Korea

Latin America

Middle East & Africa
Saudi Arabia
South Africa
Rest of Middle East & Africa

Chapter 1. Executive Summary
1.1. Market Snapshot
1.2. Global & Segmental Market Estimates & Forecasts, 2020-2030 (USD Billion)
1.2.1. Digital Forensics Market, by Region, 2020-2030 (USD Billion)
1.2.2. Digital Forensics Market, by Component, 2020-2030 (USD Billion)
1.2.3. Digital Forensics Market, by Type, 2020-2030 (USD Billion)
1.2.4. Digital Forensics Market, by Deployment Mode, 2020-2030 (USD Billion)
1.2.5. Digital Forensics Market, by Vertical, 2020-2030 (USD Billion)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global Digital Forensics Market Definition and Scope
2.1. Objective of the Study
2.2. Market Definition & Scope
2.2.1. Industry Evolution
2.2.2. Scope of the Study
2.3. Years Considered for the Study
2.4. Currency Conversion Rates
Chapter 3. Global Digital Forensics Market Dynamics
3.1. Digital Forensics Market Impact Analysis (2020-2030)
3.1.1. Market Drivers Growing incidents of cybercrimes Rising integration of cloud platforms across various enterprises
3.1.2. Market Challenges Lack of skilled professionals High cost associated towards digital forensics tools and services
3.1.3. Market Opportunities Increasing number of mobile devices Rising government initiatives towards Digital surveillance platforms
Chapter 4. Global Digital Forensics Market Industry Analysis
4.1. Porter’s 5 Force Model
4.1.1. Bargaining Power of Suppliers
4.1.2. Bargaining Power of Buyers
4.1.3. Threat of New Entrants
4.1.4. Threat of Substitutes
4.1.5. Competitive Rivalry
4.2. Porter’s 5 Force Impact Analysis
4.3. PEST Analysis
4.3.1. Political
4.3.2. Economical
4.3.3. Social
4.3.4. Technological
4.3.5. Environmental
4.3.6. Legal
4.4. Top investment opportunity
4.5. Top winning strategies
4.6. COVID-19 Impact Analysis
4.7. Disruptive Trends
4.8. Industry Expert Perspective
4.9. Analyst Recommendation & Conclusion
Chapter 5. Global Digital Forensics Market, by Component
5.1. Market Snapshot
5.2. Global Digital Forensics Market by Component, Performance – Potential Analysis
5.3. Global Digital Forensics Market Estimates & Forecasts by Component 2020-2030 (USD Billion)
5.4. Digital Forensics Market, Sub Segment Analysis
5.4.1. Software
5.4.2. Hardware
5.4.3. Services
Chapter 6. Global Digital Forensics Market, by Type
6.1. Market Snapshot
6.2. Global Digital Forensics Market by Type, Performance – Potential Analysis
6.3. Global Digital Forensics Market Estimates & Forecasts by Type 2020-2030 (USD Billion)
6.4. Digital Forensics Market, Sub Segment Analysis
6.4.1. Network Forensics
6.4.2. Mobile Device Forensics
6.4.3. Cloud Forensics
6.4.4. Others
Chapter 7. Global Digital Forensics Market, by Deployment Mode
7.1. Market Snapshot
7.2. Global Digital Forensics Market by Deployment Mode, Performance – Potential Analysis
7.3. Global Digital Forensics Market Estimates & Forecasts by Deployment Mode 2020-2030 (USD Billion)
7.4. Digital Forensics Market, Sub Segment Analysis
7.4.1. Cloud
7.4.2. On-Premise
Chapter 8. Global Digital Forensics Market, by Vertical
8.1. Market Snapshot
8.2. Global Digital Forensics Market by Vertical, Performance – Potential Analysis
8.3. Global Digital Forensics Market Estimates & Forecasts by Vertical 2020-2030 (USD Billion)
8.4. Digital Forensics Market, Sub Segment Analysis
8.4.1. Government and Defense
8.4.2. Law Enforcement
8.4.3. Banking, Financial Services, and Insurance (BFSI)
8.4.4. IT & Telecom
8.4.5. Healthcare
8.4.6. Energy and Utilities
8.4.7. Others
Chapter 9. Global Digital Forensics Market, Regional Analysis
9.1. Top Leading Countries
9.2. Top Emerging Countries
9.3. Digital Forensics Market, Regional Market Snapshot
9.4. North America Digital Forensics Market
9.4.1. U.S. Digital Forensics Market Component breakdown estimates & forecasts, 2020-2030 Type breakdown estimates & forecasts, 2020-2030 Deployment Mode breakdown estimates & forecasts, 2020-2030 Vertical breakdown estimates & forecasts, 2020-2030
9.4.2. Canada Digital Forensics Market
9.5. Europe Digital Forensics Market Snapshot
9.5.1. U.K. Digital Forensics Market
9.5.2. Germany Digital Forensics Market
9.5.3. France Digital Forensics Market
9.5.4. Spain Digital Forensics Market
9.5.5. Italy Digital Forensics Market
9.5.6. Rest of Europe Digital Forensics Market
9.6. Asia-Pacific Digital Forensics Market Snapshot
9.6.1. China Digital Forensics Market
9.6.2. India Digital Forensics Market
9.6.3. Japan Digital Forensics Market
9.6.4. Australia Digital Forensics Market
9.6.5. South Korea Digital Forensics Market
9.6.6. Rest of Asia Pacific Digital Forensics Market
9.7. Latin America Digital Forensics Market Snapshot
9.7.1. Brazil Digital Forensics Market
9.7.2. Mexico Digital Forensics Market
9.8. Middle East & Africa Digital Forensics Market
9.8.1. Saudi Arabia Digital Forensics Market
9.8.2. South Africa Digital Forensics Market
9.8.3. Rest of Middle East & Africa Digital Forensics Market

Chapter 10. Competitive Intelligence
10.1. Key Company SWOT Analysis
10.1.1. Company 1
10.1.2. Company 2
10.1.3. Company 3
10.2. Top Market Strategies
10.3. Company Profiles
10.3.1. International Business Machines Corporation Key Information Overview Financial (Subject to Data Availability) Product Summary Recent Developments
10.3.2. Cisco Systems, Inc
10.3.3. Cellebrite DI Ltd
10.3.4. OpenText Corporation
10.3.5. Nuix Limited
10.3.6. Exterro Inc
10.3.7. MSAB Group
10.3.8. Magnet Forensics Inc
10.3.9. LogRhythm, Inc
10.3.10. KLDiscovery Inc
Chapter 11. Research Process
11.1. Research Process
11.1.1. Data Mining
11.1.2. Analysis
11.1.3. Market Estimation
11.1.4. Validation
11.1.5. Publishing
11.2. Research Attributes
11.3. Research Assumption

At Bizwit Research and Consultancy, we employ a thorough and iterative research methodology with the goal of minimizing discrepancies, ensuring the provision of highly accurate estimates and predictions over the forecast period. Our approach involves a combination of bottom-up and top-down strategies to effectively segment and estimate quantitative aspects of the market, utilizing our proprietary data & AI tools. Our Proprietary Tools allow us for the creation of customized models specific to the research objectives. This enables us to develop tailored statistical models and forecasting algorithms to estimate market trends, future growth, or consumer behavior. The customization enhances the accuracy and relevance of the research findings.
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Critical elements of methodology employed for all our studies include:
Data Collection:
To determine the appropriate methods of data collection based on the research objectives, we consider both primary and secondary sources. Primary data collection involves gathering information directly from various industry experts in core and related fields, original equipment manufacturers (OEMs), vendors, suppliers, technology developers, alliances, and organizations. These sources encompass all segments of the value chain within the specific industry. Through in-depth interviews, we engage with key industry participants, subject-matter experts, C-level executives of major market players, industry consultants, and other relevant experts. This allows us to obtain and validate critical qualitative and quantitative information while evaluating market prospects. AI and Big Data are instrumental in our primary research, providing us with powerful tools to collect, analyze, and derive insights from data efficiently. These technologies contribute to the advancement of research methodologies, enabling us to make data-driven decisions and uncover valuable findings.
In addition to primary sources, we extensively utilize secondary sources to enhance our research. These include directories, databases, journals focusing on related industries, company newsletters, and information portals such as Bloomberg, D&B Hoovers, and Factiva. These secondary sources enable us to identify and gather valuable information for our comprehensive, technical, market-oriented, and commercial study of the market. Additionally, we utilize AI algorithms to automate the collection of vast amounts of data from various sources such as surveys, social media platforms, online transactions, and web scraping. And employ Big Data technologies for storage and processing of large datasets, ensuring that no valuable information is missed during the data collection process.
Data Analysis:
Our team of experts carefully examine the gathered data using suitable statistical techniques and qualitative analysis methods. For quantitative analysis, we employ descriptive statistics, regression analysis, and other advanced statistical methods, depending on the characteristics of the data. This analysis may also incorporate the utilization of AI tools and big data analysis techniques to extract meaningful insights.
To ensure the accuracy and reliability of our findings, we extensively leverage data science techniques, which help us minimize discrepancies and uncertainties in our analysis. We employ Data Science to clean and preprocess the data, ensuring its quality and reliability. This involves handling missing data, removing outliers, standardizing variables, and transforming data into suitable formats for analysis. The application of data science techniques enhances our accuracy, efficiency, and depth of analysis, enabling us to stay competitive in dynamic market environments.
Market Size Estimation:
Our proprietary data tools play a crucial role in deriving our market estimates and forecasts. Each study involves the creation of a unique and customized model. The model incorporates the gathered information on market dynamics, technology landscape, application development, and pricing trends. AI techniques, such as machine learning and deep learning, aid us to analyze patterns within the data to identify correlations, trends, and relationships. By recognizing patterns in consumer behavior, purchasing habits, or market dynamics, our AI algorithms aid us in more precise estimations of market size. These factors are simultaneously analyzed within the model, allowing for a comprehensive assessment. To quantify their impact over the forecast period, correlation, regression, and time series analysis are employed.
To estimate and validate the market size, we employ both top-down and bottom-up approaches. The preference is given to a bottom-up approach, where key regional markets are analyzed as separate entities. This data is then integrated to obtain global estimates. This approach is crucial as it provides a deep understanding of the industry and helps minimize errors.
In our forecasting process, we consider various parameters such as economic tools, technological analysis, industry experience, and domain expertise. By taking all these factors into account, we strive to produce accurate and reliable market forecasts. When forecasting, we take into consideration several parameters, which include:
Market driving trends and favorable economic conditions
Restraints and challenges that are expected to be encountered during the forecast period.
Anticipated opportunities for growth and development
Technological advancements and projected developments in the market
Consumer spending trends and dynamics
Shifts in consumer preferences and behaviors.
The current state of raw materials and trends in supply versus pricing
Regulatory landscape and expected changes or developments.
The existing capacity in the market and any expected additions or expansions up to the end of the forecast period.
To assess the market impact of these parameters, we assign weights to each one and utilize weighted average analysis. This process allows us to quantify their influence on the market and derive an expected growth rate for the forecasted period. By considering these various factors and applying a weighted analysis approach, we strive to provide accurate and reliable market forecasts.
Insight Generation & Report Presentation:
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