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Open-Source Intelligence Market Research Report, By Security Type (Human Intelligence, Content Intelligence, Dark Web Analysis), Technology (Big Data Software, Video Analytics, Text Analytics), Application (Military & Defense, Homeland Security, Private Sector), — Forecast till 2023Open-Source Intelligence Market – OverviewMarket Research Future (MRFR)’s latest study reveals that the global Open-Source Intelligence market is set to proliferate exponentially at a robust CAGR of 16.18% during the forecast period 2017 to 2023.The open-source intelligence industry has grown at a phenomenal pace in the past few years due to improvements in the information management field.

Market reports linked to the information and communications technology sector along with published reports on other sectors have been lately made available by Market Research Future, which has also published a report on this sector.Get Free Sample Report @ https://www.marketresearchfuture.com/sample_request/4545The industry is gradually achieving a high demand rate from sectors such as government and security agencies.

The amplified level of competition in the market has prompted better use of open source intelligence tools to gather quality actionable data that can used effectually.Key Players:The Open-Source Intelligence Market holds some of the major key players like, Palantir Technologies (U.S.), Expert System (Italy), Exalead Dassault Systemes (France), Thales Group (France), CybelAngel (France), Intrinsic Technologies (U.S.), SAIL LABS Technology GmbH (Austria), Digimind (U.S.), KB Crawl SAS (France), Verint (U.S.), Recorded Future (U.S.), Datalkz (UAE).Industry SegmentsThe Open Source Intelligence Market globally has been segmented into technology, security type, application and region.On The Basis Of Technology: Text Analytics, Web Analysis, Cyber Security Video Analytics, Big Data Software, Social Media Analysis and OthersOn The Basis Of Region: Latin America, Europe, Asia pacific, North America, Middle East & AfricaOn The Basis Of Security Type: Text Analytics, Content Intelligence, Human Intelligence, Artificial Intelligence, Data Analytics, Dark Web Analysis, Big Data OthersOn The Basis Of Application: Military & Defense, Homeland Security, National Security, Private Sector, Public Sector and OthersRegional AnalysisThe open source intelligence industry comprises of regions such as Asia pacific, Europe, Latin America, North America, Middle East & Africa along with the rest of the world.

The industry is led by the North American region which is followed by the Asia Pacific region.

The advanced progress and growth in the research and development domain especially of the governments in U.S and Canadian regions have led to the application of the technology far earlier than the others.

However, the market development in the Asia pacific region is anticipated to develop considerably.Industry Updates:Mar 2018 The Linux Foundation has recently announced the Acumos AI Project.

The pack of standard open source Android projectsLet's consider the pack of popular open source GitHub libraries that are likely used in the majority of Android-based apps.Retrofit License: Apache 2.0GitHub Stars: 20,370This Android open source project is able to convert REST API into Java interface.

Retrofit allows you to write a qualitative code in pure Java by means of using almost any RESTful API.It is worth mentioning that the core features include dynamically built requests, errors proceeding, and the capability to transfer files.

Retrofit automatically converts JSON into objects with the help of another open source Android repository called Gson.

All the library's logic is built upon annotations that allow the creation of dynamic requests within a server.In addition, as for the Android-based library, it is pretty light and relatively easy to use.Advantages:Easy to use & installGreat documentationLightness  Disadvantages:Lack of images loading support Glide License: Apache 2.0GitHub stars: 14,600Loading images is a quite widespread task with Android development.

This library uses an InjectView annotation to remove some boilerplate and shorten your code.Advantages:Easy setupLets you write less codeGood performance Disadvantages:No Pojo Injection support Parceler License: Apache 2.0GitHub stars: 2,700Besides Butter Knife, the problem of repetitive code could also be solved by Parceler, Android open source project.

This way, the library allows you to reduce the number of repetitive steps that are needed to achieve the increased performance of Parcelables.Advantages:Eliminates manual generation of Parcelable codeBig base of method count Disadvantages:Cannot handle RealmList by defaultLeakCanary License: Apache 2.0GitHub stars: 14,500To create some top Android projects, you have to take care of memory consumption.