1 / 11

Global Cognitive Computing Market (Technology, Application,

Cognitive computing processes extraordinary volumes of complex data and dramatically enhances the productivity levels in enterprises. Cognitive computing is 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, videos, natural language and symbols.

alliedmarketresearch
Télécharger la présentation

Global Cognitive Computing Market (Technology, Application,

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Global Cognitive Computing Market Published Date: 29 May 2015 No. of pages :127

  2. Introduction Cognitive Computing Market Cognitive computing processes extraordinary volumes of complex data and dramatically enhances the productivity levels in enterprises. Cognitive computing is 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, 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, 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.  The market for cognitive computing is segmented on the basis of technology, applications, end user, 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.

  3. Introduction Scope of the Report Key Benefits Key Audiences

  4. KEY BENEFITS • The report provides an in depth analysis of the cognitive computing market and offers current and future trends to identify lucrative investment pockets in the market • The report identifies the key drivers, opportunities and restraints along with their impact analysis • Porter’s five forces analysis provides a clear idea regarding the potency of the buyers and suppliers participating in this market. This would further lend competitive advantage to the stakeholders in making profitable business decisions • Current and future trends are outlined to determine the overall attractiveness and figure out profitable trends in order to gain a stronger foothold in the market • A detailed qualitative and quantitative analysis of the market through 2014–2020 is provided to highlight the market potential

  5. Table of Contents INTRODUCTION EXECUTIVE SUMMARY MARKET OVERVIEW GLOBAL COGNITIVE COMPUTING MARKET BY TECHNOLOGY GLOBAL COGNITIVE COMPUTING MARKET BY APPLICATION GLOBAL COGNITIVE COMPUTING MARKET BY END USER GLOBAL COGNITIVE COMPUTING MARKET BY DEPLOYMENT TYPE GLOBAL COGNITIVE COMPUTING MARKET BY GEOGRAPHY COMPANY PROFILES

  6. Global Market Overview Market Definition & Scope Key findings Porter’s five force analysis Value chain analysis Case studies Market share analysis, 2014 Case Study Market Dynamics

  7. Global Cognitive Computing Market By Technology

  8. Global Cognitive Computing Market - By Applications

  9. Global Cognitive Computing Market By End User • Large Enterprises • Small and medium businesses (SMBs) Global Cognitive Computing Market By Deployment Type • On-Premise Software • Cloud-based Services

  10. Global Cognitive Computing Market By Geography  North America, Europe, Asia Pacific, LAMEA

  11. Thank You! For More Details Visit us at https://www.alliedmarketresearch.com/cognitive-computing-market Follow Us On

More Related