Content Analytics Discovery and Cognitive Software Market Analysis, Trends, Forecast 2016-2026
Content Analytics comprises of range of search and reporting technologies which can provide identical levels of business intelligence and strategic value for unstructured data. Content analytics for unstructured information includes social media monitoring, reputation monitoring, and sentiment analysis. Content analytics softwares uses natural language queries, trends analysis, predictive analytics and contextual discovery to reveal trends and patterns for the company’s unstructured data.
Content Analytics comprises of range of search and reporting technologies which can provide identical levels of business intelligence and strategic value for unstructured data. Content analytics for unstructured information includes social media monitoring, reputation monitoring, and sentiment analysis. Content analytics softwares uses natural language queries, trends analysis, predictive analytics and contextual discovery to reveal trends and patterns for the company’s unstructured data.
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Future <strong>Market</strong> Insights<br />
Global <strong>Content</strong><br />
<strong>Analytics</strong> <strong>Discovery</strong><br />
<strong>and</strong> <strong>Cognitive</strong><br />
<strong>Software</strong> <strong>Market</strong><br />
Share, Global <strong>Trends</strong>,<br />
<strong>Analysis</strong>, Research, Report,<br />
Opportunities,<br />
Segmentation <strong>and</strong> <strong>Forecast</strong>,<br />
<strong>2016</strong> – <strong>2026</strong><br />
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sales@futuremarketinsights.com
Report Description<br />
<strong>Content</strong> <strong>Analytics</strong> comprises of range of search <strong>and</strong> reporting technologies which can provide<br />
identical levels of business intelligence <strong>and</strong> strategic value for unstructured data. <strong>Content</strong><br />
analytics for unstructured information includes social media monitoring, reputation monitoring,<br />
<strong>and</strong> sentiment analysis. <strong>Content</strong> analytics softwares uses natural language queries, trends<br />
analysis, predictive analytics <strong>and</strong> contextual discovery to reveal trends <strong>and</strong> patterns for the<br />
company’s unstructured data.<br />
<strong>Discovery</strong> tools are the search tools that analyse contents for its likely relevancy to a process, by<br />
linking names, time periods or terms used. <strong>Discovery</strong> tools can also extend to legal hold <strong>and</strong><br />
partitioning of content for further scrutiny. Various types of discovery tools include search<br />
engines, auto-categorization, <strong>and</strong> information visualization tools.<br />
<strong>Cognitive</strong> computing softwares make context computable by identifying <strong>and</strong> extracting context<br />
features such as hour, location, task, history or profile in structured way for an individual or an<br />
application engaged in a specific process at definite time <strong>and</strong> place. <strong>Cognitive</strong> computing<br />
technologies <strong>and</strong> platforms includes expert assistance software.<br />
<strong>Content</strong> <strong>Analytics</strong>, <strong>Discovery</strong> <strong>and</strong> <strong>Cognitive</strong> Systems, collectively covers the market <strong>and</strong><br />
technologies that access, analyse, organize, <strong>and</strong> provides advisory services related to a range of<br />
unstructured data.
Report Description<br />
<strong>Cognitive</strong> systems leverages large amounts of structured <strong>and</strong> unstructured data <strong>and</strong> content<br />
analytics tools, along with several infrastructure technologies to answer questions, provide<br />
recommendations <strong>and</strong> directions. In addition to this, it helps in hypothesis <strong>and</strong> formulation of<br />
possible answers <strong>and</strong> updates itself by adopting learning algorithms from its mistake <strong>and</strong><br />
failures.<br />
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1813<br />
Global <strong>Market</strong> of <strong>Content</strong> <strong>Analytics</strong>, <strong>Discovery</strong> <strong>and</strong> <strong>Cognitive</strong> <strong>Software</strong>: Drivers <strong>and</strong> Restraint<br />
Unstructured data is driving a revitalisation in the analysis of information, resulting in the<br />
introduction of innovative tools capable to offer intelligent assistance, guidance <strong>and</strong><br />
recommendations to customers. Particularly, cognitive systems offer cloud <strong>and</strong> mobile-based<br />
platforms through which theintelligent assistants (such as Apple's Siri, Google's Google Now,<br />
Amazon Echo, Microsoft's Cortana, Brainasoft’s Braina, Samsung's S Voice, LG's Voice Mate,<br />
BlackBerry's Assistant, SILVIA, HTC's Hidi, IBM's Watson) are able to operate, using databases<br />
<strong>and</strong> knowledge graphs built with the help of content analytics.<br />
<strong>Content</strong> analytics, discovery <strong>and</strong> cognitive Systems, together are used for complex applications<br />
such as medical research, fraud prevention, digital forensics for crime detection <strong>and</strong> sentiment<br />
analytics to measure the “feelings of the crowd” towards a br<strong>and</strong> or product.
Report Description<br />
These tools matches structured database information with unstructured data of documents to<br />
rearrange the data in the organized form. Additionally, it analyses text usage, patterns in video<br />
or sound.<br />
<strong>Content</strong> analytics along with discovery tools <strong>and</strong> cognitive systems can create relevant cost <strong>and</strong><br />
consumption metrics <strong>and</strong> facilitate improved information lifecycle management (ILM) chains for<br />
End-users. This will enable the End-users to identify the potential value of digital content <strong>and</strong><br />
will aid them in underst<strong>and</strong>ing the significance of their investment in the storage <strong>and</strong> future<br />
analytics.<br />
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As these technologies are still at the nascent stage, promoting the significance of this<br />
technology is currently a major challenge for the market participants. anticipating the unknowns<br />
as past based predictions have their limitations (in case of predictive analysis), Growing<br />
popularity of e-discovery, Digital Asset Management (DAM), Web <strong>Analytics</strong> <strong>and</strong> De-duplication<br />
technologies are acting as a potential substitute for the techniques including sentiment analysis,<br />
copyright detection <strong>and</strong> digital forensics used in content analytics<br />
Global <strong>Market</strong> of <strong>Content</strong> <strong>Analytics</strong>, <strong>Discovery</strong> <strong>and</strong> <strong>Cognitive</strong> <strong>Software</strong>: Segmentation
Report Description<br />
Segmentation on the basis of product type:<br />
Various type of products in this market include: Test softwares (in multiple languages) <strong>and</strong> rich<br />
media tagging (audio, video, <strong>and</strong> image), software for searching, information discovery, machine<br />
learning, deep learning, hypothesis generation, entity <strong>and</strong> relationship extraction, supervised<br />
<strong>and</strong> unsupervised learning, clustering, categorization, question answering, filtering, alerting,<br />
visualization <strong>and</strong> navigation.<br />
Segmentation on the basis of end-user:<br />
Various end-users of the market include: government & public services, Finance, Banking &<br />
Insurance sector, utilities, telecommunication operator, IT & High-Tech ECM provider, healthcare<br />
& pharmaceutical sector, media & web publishing, retail, transport <strong>and</strong> real estate.<br />
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Finance, banking <strong>and</strong> insurance <strong>and</strong> utilities, are currently witnessing higher adoption of content<br />
analytics softwares. The factors driving this higher adoption are: Growing need for real-time<br />
response requirements in banking, increasingly stringent regulatory environment <strong>and</strong> the need<br />
to mitigate risk, dem<strong>and</strong>ing customer profile <strong>and</strong> growing competitive pressure, exploding data<br />
volumes & growing complexity, in the BFSI sector.
Report Description<br />
Global <strong>Market</strong> of <strong>Content</strong> <strong>Analytics</strong>, <strong>Discovery</strong> <strong>and</strong> <strong>Cognitive</strong> <strong>Software</strong>: Key Players<br />
Some of the prominent players in the content analytics, discovery <strong>and</strong> cognitive software market<br />
include: IBM Inc., Hewlett-Packard Company, Baidu Inc., Elastic GmbH, Facebook Inc., Google<br />
Inc., LucidWorks Inc., Microsoft Corporation, <strong>and</strong> Wipro Limited.
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