Cognitive Computing Market Worth $24.1 Billion By 2022| Google, Microsoft, IBM, SAS, AWS, Artificial Solutions, Numenta, Enterra Solutions, Cognitivescale, Acuiti

Recent research and the current scenario as well as future market potential of "Cognitive Computing: Applications and Global Markets".

The global market for cognitive computing will grow from $6.0 billion in 2017 to $24.1 billion by 2022, with a compound annual growth rate (CAGR) of 32.1% for the period of 2017-2022.

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Report Includes
An overview of the global market for cognitive computing
Analyses of global market trends, with data from 2017, 2018, and projections of compound annual growth rates (CAGRs) through 2023
Insight into the types of cognitive computing technologies, including natural language processing, neural networks, and expert systems
Descriptions of key patents related to the market
Information on key components, applications, and market trends
Profiles of major players and companies in the market, including Google Deepmind AI Solution, Intel Saffron, Numenta, Welltok Analytics, Cisco Cognitive Threat Analysis and Abbyy

Summary

Cognitive computing like many IT terms is defined both by its technical capability and applications and by marketing statements. From a technical standpoint, cognitive computing is a system that uses machine learning algorithms to continually increase its "knowledge" from the data it receives. The learning aspect is characterized by the system continuously refining patterns in the data as well as the way data is processed. This learning allows cognitive computing systems to anticipate new problems and model possible solutions in an adaptive and iterative manner. The system also works within a context and can identify and extract contextual elements such as meaning, syntax, time, location, regulation, user profiles, tasks and goals.

Applications of cognitive computing are derived from data mining, pattern recognition and natural language processing. These applications automate manual processes or augment more basic computing processes. The marketing definition of cognitive computing is to solve problems as well as or better than humans without human assistance. However, cognitive computing may best be applied as an enabler in a process that involves both machines and humans rather than one replacing the other.

As with the field of artificial intelligence in general, cognitive computing is now coming into practical application because of a convergence of underlying technologies. These include high performance processors and advanced algorithms, which combine to enable computing systems to leverage machine learning, natural language processing and expert systems to provide new value in dealing with consumer and business applications.

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Report Scope
The scope of this report covers the overall Cognitive Computing technologies market with market sizing and trends analysis for the most recently completed actuals for 2016 as well as forecasts, trends and compound annual growth rates (CAGRs) for 2017 through 2022.

The market is segmented by end user, technology and region. End user segments include education, government and enterprise. Applications include the military, healthcare and manufacturing sectors.

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This release was published on openPR.