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Global Cognitive Computing Market 2016: Industry Analysis Cheap Jerseys China , Market Size, Share, Growth and Forecast 2 Marketing Articles | June 9, 2016

Intense Research releases a new market research report "Global Cognitive Computing Market (Technology, Application, End User Cheap Jerseys , Deployment Type and Geography) - Size, Share, Trends, Company Profiles, Demand, Insights Wholesale Authentic Soccer Jerseys , Analysis, Opportunities, Segmentation and Forecast, 2014 - 2020" to add to its collection of research reports.



Cognitive computing processes extraordinary volumes of complex data and dramatically enhances the productivity levels in enterprises.Cognitive computingis considered as a next-generation system that interacts in human language and helps human experts to make better decisions by understanding the complexity of big data. Cognitive computing can process human language, unstructured data and can even self-learn by experience and perform tasks similar to the ones done by humans. In the current scenario, big data is increasing due to digitalization and most of the data is received in unstructured form such as images Wholesale Soccer Jerseys , videos, natural language and symbols. Cognitive computing, with the help of different technologies such as natural language processing, machine learning and automated reasoning, translates unstructured data to sense, and infers and predicts the best solution. Cognitive computing is majorly used in BFSI Wholesale Jerseys China , healthcare, security, and retail applications. Increasing volume of unstructured data and advancements in technology largely drive the cognitive computing market. Cloud based technological advancements, development of innovative hardware and software systems and cognitive experience interfaces would further create opportunities for the cognitive computing market.


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The market for cognitive computing is segmented on the basis of technology, applications, end user Wholesale Jerseys , deployment type and geography. Natural language processing technology accounted for the maximum revenue share in 2014 and this segment would continue to dominate during the forecast period (2015–2020). Natural language processing and machine learning have generated nearly 44% and 30% of the revenue respectively, in 2014. Retail and security would be the fastest growing application segments registering CAGR of 35.8% and 36.5% respectively, during the forecast period.


The key players in the market are acquiring specialized technology companies to gain technical expertise in order to develop innovative solutions. In March 2015, IBM acquired AlchemyAPI, one of the leading providers of scalable API services and deep learning technology, which would aid the development of IBM’s next generation cognitive computing applications. In Jan 2014 Cheap Authentic Soccer Jerseys , Google acquired the cognitive computing start-up DeepMind with the aim to integrate DeepMind’s NLP technology into its core search product for better understanding the queries written in a natural language.


Key players of the cognitive computing market are IBM Corporation, Google Incorporation, Microsoft Corporation, Nuance Communications Inc., 3M, Hewlett Packard (HP) Cheap Soccer Jerseys Wholesale , Statistical Analysis System (SAS), SAP, Tibco Software and Oracle Corporation.


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Table Of Content Of Cognitive computing Market:


CHAPTER 1 INTRODUCTION
1.1 Report Description
1.2 Reasons for Doing the Study
1.3 Key Benefits
1.4 Key Market Segments
1.5 Key Audiences
1.6 Research Methodology
1.6.1 Secondary Research
1.6.2 Primary Research
1.6.3 Analyst Tools and Models


CHAPTER 2 EXECUTIVE SUMMARY
2.1 CXO Perspective
2.2 Market Beyond: What to Expect by 2025 ($Million)
2.2.1 Base Case Scenario
2.2.2 Optimistic Case Scenario
2.2.3 Critical Case Scenario


CHAPTER 3 MARKET OVERVIEW
3.1 Market Definition and Scope
3.2 Key Findings
3.2.1 Top Factors Impacting the Cognitive Computing Market
3.2.2 Top Winning Strategies of Cognitive Computing Market
3.2.3 Top Investment Pockets of Cognitive Computing Market
3.3 Porters Five Forces
3.3.1 Differentiated Products and Low Threat of Backward Integration Increases Bargaining Power of the Suppliers
3.3.2 High Switching Cost and Lack of Substitute Leads to Low Bargaining Power of Buyer
3.3.3 High Switching Cost and Lack of alternatives Lowers the Threat of Substitutes
3.3
3.6 Case Study
3.7 Market Dynamics
3.7.1 Drivers
3.7.1.1 Increasing Volume of Large Complex Data
3.7.1.2 Harnessing Internet Speed
3.7.1.3 Big Data Analytics
3.7.2 Restraints
3.7.2.1 High Cost of Deploying Cognitive Computing System
3.7.2.2 Lack of Awareness
3.7.3 Opportunities
3.7.3.1 Trend of Cloud Based Technology
3.7.3.2 Impact on Business Application


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