Open Source Intelligence Market by Deployment Type (Cloud and On-premises); by Source (Public Government Data, Professional and Academic Publications, Commercial Data, Grey Literature, Media, and Internet); by Security Type (Data Analytics, Text Analytics, Artificial Intelligence, Big Data, Human Intelligence, Content Intelligence, and Dark Web Analysis); for Application (Private Sector, Public Sector, Military and Defense, Homeland Security, and National Security)-Global Industry Analysis, Size, Share, Growth, COIVD-19 Business Impact, and Forecast 2020 – 2029

  • TBI827375
  • July 24, 2020
  • Global
  • 132 pages
  • SAC Insights
                                          

Market Summary:

Open-source intelligence has defined by the U.S. Intelligence Community. Foreign Broadcast Monitoring Service (FBMS) is an agency for OSINT which is accountable for the monitoring of foreign broadcasts. The 9/11 Commission suggested the formation of an open-source intelligence agency. The U.S. Open-source intelligence (OSINT) collects data from publicly available sources such as television, radio, newspapers, commercial databases, internet, media, and others.  Value The global open source intelligence market was valued at around USD 3,810 million in 2017 and it is expected to reach more than 25,900 million by 2026. The global open source intelligence market is expected to grow at a CAGR of around 23.7% between 2018 and 2026. Drivers and Restraints The major factor driving the growth of global open source intelligence market is increasing amount of data across the globe. The use of social networking has increased a large amount of user-generated content. The content may include images, videos, personal, and professional information. In addition, increasing wireless networking technologies and rising adoption of cloud platform across the globe are the key factors that will trigger the growth of the open source intelligence. Internet proliferation in emerging countries has increased a large amount of unstructured and structured data. It is estimated that around 1.7 megabytes of new information will be created every second by 2020. The OSINT autonomous tools help to provide real-time analysis to the organization. Owing to rising demand for real-time valuable data the demand for the open source intelligence market is increasing. Advancement in big data, data analytics, text analytics, and artificial intelligence will open up key opportunities for the open source intelligence market. Segmentation The deployment segment includes cloud and on-premises. On-premises segment held the largest market share of 59% in 2017. The driving attribute for the on-premise segment is it requires only one-time initial investment. Only users have rights for data, hardware, and software platforms and they decide the configuration, upgrades, and system changes. Cloud segment is expected to grow at the highest CAGR of 25% in between 2018 and 2026. Cloud-based solutions provide many benefits to the organization in terms of storage and flexibility. It provides a virtual platform to store data. By using OSINT, companies can access data remotely for analysis purpose. The cloud platform provides access to the device manufacturer and service providers for advanced analytics and monitoring. The source segment is divided into public government data, professional and academic publications, commercial data, grey literature, media, and internet. The internet segment is anticipated to grow with the highest CAGR of 25% over the forecast period. Media is the second major source to collect data. Media segment acquired 12.29% of the market share in 2017; it includes newspapers, magazines, radio, and television. Rising media industry is expected to boost the revenue of the market. Public government data includes data budgets, public government reports, telephone directories, hearings, press conferences, and speeches. This is an official source which is publicly accessible and may be used openly and freely. This data can be analyzed by OSINT to gather valuable information.  Security type segment covers data analytics, text analytics, artificial intelligence, big data, human intelligence, content intelligence, dark web analysis. Artificial intelligence segment is anticipated to grow with the highest CAGR of 26% from 2018 to 2026. The big data segment held the largest markets share of 23% in 2017. Increasing business interest in advanced analytics for future estimations, enterprises are using OSINT for analyzing a large amount of raw data and obtain valuable data which will be useful in increasing the profit of the business. By application, national security held the major market share of 35.12% in 2017. OSINT is mostly used in business intelligence functions, national security, and law enforcement. The national security applies open-source intelligence to investigate, predict, prevent, and prosecute the criminals including terrorists. North America has occupied the largest market share of 31% in 2017. Following the 9/11 attacks, there has been an increased adoption of the security policies and open source intelligence agency was introduced. Increasing cyber attacks across North America is expected to boost the market. However, Asia Pacific region is anticipated to grow with highest CAGR of 27% between 2018 and 2026. This rapid growth of the market in the Asia Pacific is due to increased adoption of digitalization which, in turn, has created huge volumes of data.  Industry Players The report also covers detailed competitive outlook including company profiles of the key participants operating in the global open source intelligence market. The key players included in this market are 3i-MIND Technologies GmbH, Alfresco Software, Inc., Ascertain Solutions, CybelAngel, Dassault Systèmes, DATALKZ, Digimind, Expert System S.p.A., KB Crawl, Kriptia, Octogence Technologies Pvt. Ltd., OSINT Solutions, Inc., Palantir Technologies, Qwarie, Raytheon Company, Recorded Future, Inc., Sail Labs Technology GmbH, Semantic, SensePost, Thales Group, Verint Systems, and Vesper Group AB.

Table of Contents
                    
                    
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	Chapter 1. Introduction
	
		1.1. Report description and scope
		1.2. Research scope
		1.3. Research methodology
		1.3.1. Market research process
		1.3.2. Market research methodology
	
	
	 
	Chapter 2. Executive Summary
	
		2.1. Global open source intelligence market, 2016-2024 (USD Million)
		2.2. Global Open Source Intelligence market : Snapshot
	
	
	 
	Chapter 3. 
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