Open-Source Intelligence (OSINT) Market Detailed Analysis of Current Industry Figures with Forecasts Growth By 2027
Category: #business  By Rahul Varpe  Date: 2021-08-03
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Open-Source Intelligence (OSINT) Market Detailed Analysis of Current Industry Figures with Forecasts Growth By 2027

The Open Source Intelligence (OSINT) Market is expected to witness significant growth by 2027, primarily driven by increasing instances of cybercrime and targeted attacks on digital infrastructures. These are subsequently fueling the use of cybercrime intelligence. The rapid development and adoption of data collection methods is also slated to augment the business scenario.

Out of the immeasurable amount of data that is generated currently across the world, a large portion is publicly available, which means it is easily accessible. OSINT is intelligence which is synthesized by using publicly available data. Recent technological advancements have expedited the development of OSINT, which has not only given way to innovative data-centric applications, but have also created new techniques to deal with cybercrime.

The Open Source Intelligence (OSINT) Market has been bifurcated on the basis of security, technology, application, and region.

The security segment is further divided into human intelligence, dark web analytics, data analytics, content intelligence, link/network analytics, artificial intelligence security, and big data.

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Dark web analytics accesses and processes data found on the dark web, which is not indexed through conventional search engines. The dark web analytics sub-segment accounted for a market share of 5% in 2020 and is expected to grow substantially in the coming years due to complex data sourcing and stringent data regulations.

Data analytics has gained significance in recent decades as it is increasingly being used to gain key insights that result in more informed decision-making. The data analytics sub-segment held a market share of over 20% in 2020 and will continue to grow in the following years due to the rising usage of AI in data sourcing and cleansing.

Content intelligence uses artificial intelligence (AI) systems and software to process content to determine the efficacy of a business' content. The content intelligence sub-segment is projected to register a CAGR of over 24% through the forecast timeframe owing to the rising usage of content-based data gathering.

The link/network analytics sub-segment is projected to grow with a CAGR of more than 20% over the analysis time period owing to the escalating use of link analytics with traditional intelligence methods.

Artificial intelligence security uses AI to identify and tackle cyberthreats and is growing concomitantly with ongoing development in the field of AI. The artificial intelligence security sub-segment is predicted to deliver a CAGR of 25% through the assessment period due to the increased use of unstructured big data in business and security intelligence.

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The technology segment is divided further into big data software, text analytics, web analysis, visualization tools, video analytics, cybersecurity, and social media analysis. With video-based surveillance becoming the most commonly used method for gathering intelligence, the video analytics sub-segment is estimated to grow at a CAGR of around 28% over the projected study period.

Visualization tools help organizations track their performance across key indicators. The visualization tools sub-segment held a market share of above 7% in 2020 and is predicted to grow significantly with the increasing adoption of graphical and visual heat maps for gathering military intelligence.

The web analysis sub-segment is expected to witness a CAGR of over 25% through the forecast time period owing to the rising reliance of website owners on customer data intelligence. Additionally, due to the proliferating usage of social media and the ever-growing amount of data across social networking platforms, social media analysis has become highly significant growth avenue. The social media analysis sub-segment is expected to grow at a sizable CAGR of 25% through the forecast timeframe.

The application of open-source intelligence (OSINT) in the public sector accounted for over 18% of the market share in 2020 due to the increasing use of cyber intelligence by state owned enterprises.

The rising use of AI and related technologies across the defense sector in Latin America has given the regional market a 27% CAGR. Meanwhile, increasing geo-political tensions and cyber warfare in the MEA region has led it to hold a market share of above 11% in 2020. This factor will further contribute to regional growth in the coming years.

Table of Contents

Chapter 1 Methodology & Scope

  • 1.1 Scope & definitions
  • 1.2 Methodology & forecast parameters
  • 1.3 Region-wise COVID-19 impact analysis
    • 1.3.1 North America
    • 1.3.2 Europe
    • 1.3.3 Asia Pacific
    • 1.3.4 Latin America
    • 1.3.5 Middle East & Africa
  • 1.4 Data Sources
    • 1.4.1 Secondary
    • 1.4.2 Primary

Chapter 2 Executive Summary

  • 2.1 Open-Source Intelligence (OSINT) industry 360 degree synopsis, 2016 - 2027
  • 2.2 Business trends
  • 2.3 Regional trends
  • 2.4 Security trends
  • 2.5 Technology trends
  • 2.6 Application trends

Chapter 3 Open-Source Intelligence (OSINT) Industry Insights

  • 3.1 Introduction
  • 3.2 Industry segmentation
  • 3.3 Impact of COVID-19 outbreak
    • 3.3.1 Global outlook
    • 3.3.2 By region
      • 3.3.2.1 North America
      • 3.3.2.2 Europe
      • 3.3.2.3 Asia Pacific
      • 3.3.2.4 Latin America
      • 3.3.2.5 Middle East & Africa
    • 3.3.3 Industry value chain
      • 3.3.3.1 Suppliers
      • 3.3.3.2 OSINT technology providers
      • 3.3.3.3 Marketing & distribution channels
    • 3.3.4 Competitive landscape
      • 3.3.4.1 Strategy
      • 3.3.4.2 Distribution network
      • 3.3.4.3 Business growth
  • 3.4 Evolution of OSINT
  • 3.5 OSINT industry ecosystem analysis
    • 3.5.1 OSINT solution providers
    • 3.5.2 Hardware manufacturers
    • 3.5.3 Cloud service providers
    • 3.5.4 Third party service providers
    • 3.5.5 Marketing and distribution channel
    • 3.5.6 Vendor matrix
  • 3.6 Technology & innovation landscape
    • 3.6.1 Third generation OSINT
    • 3.6.2 Big data analytics
    • 3.6.3 Artificial Intelligence
    • 3.6.4 Natural Language Processing (NLP)
  • 3.7 Regulatory landscape
    • 3.7.1 North America
      • 3.7.1.1 Standards on Privacy and Web Analytics (Canada)
      • 3.7.1.2 Health Insurance Portability and Accountability Act (HIPAA) of 1996 (U
    • 3.7.2 Europe
      • 3.7.2.1 General Data Protection Regulation (GDPR)
      • 3.7.2.2 Exception of Text & Data Mining (TDM) in Copyright in Digital Single Market (DSM Draft Directive - EU)
    • 3.7.3 APAC
      • 3.7.3.1 Information Security Technology- Personal Information Security Specification GB/T 35273-2017 (China)
      • 3.7.3.2 Secure India National Digital Communications Policy 2018-Draft 66 (India)
    • 3.7.4 LATAM
      • 3.7.4.1 The General Data Protection Law (Brazil)
      • 3.7.4.2 Personal Data Protection Act 25 326 (PDPA - Argentina)
    • 3.7.5 MEA
      • 3.7.5.1 Federal Law No 2 of 2019 on the use of ICT in Healthcare (UAE)
      • 3.7.5.2 Privacy Protection Regulations (Data Security), 5777-2017 (Israel)
  • 3.8 Industry impact forces
    • 3.8.1 Growth drivers
      • 3.8.1.1 Increased availability of publicly available unclassified information
      • 3.8.1.2 Rise in cybercrimes, terrorism and other related illegal practices
      • 3.8.1.3 Rapid advancements in Big Data processing and data analytics
      • 3.8.1.4 Penetration of artificial intelligence across military and defense sector
      • 3.8.1.5 Growing affinity of enterprises towards unstructured data for business intelligence
    • 3.8.2 Industry pitfalls & challenges
      • 3.8.2.1 Stringent laws on data privacy and fair usage of publicly available data
      • 3.8.2.2 Lack of expertise and limited skillsets in OSINT industry
  • 3.9 Growth potential analysis
  • 3.10 Porter's analysis
  • 3.11 PESTEL analysis
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About Author

Rahul Varpe

Rahul Varpe    

Rahul Varpe currently writes for Technology Magazine. A communication Engineering graduate by education, Rahul started his journey in as a freelancer writer along with regular jobs. Rahul has a prior experience in writing as well as marketing of services and products ...

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