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