Global Cognitive Computing Market: Advances in Deep Data Analysis and Unstructured Data Management to Trigger Growth

Published on : Jun 27, 2018

Albany, New York, June 27, 2018: Proliferated applications of AI in commercial environment to facilitate better understanding of unstructured data has caused a surge in the growth of cognitive computing. Besides, amalgamation of technological advances such as visual recognition and data mining have also contributed notably towards the growth patterns of cognitive computing. To understand the implications of recent developments on the growth of cognitive computing, Market Research Hub (MRH) has added a new report titled, ‘Cognitive Computing: Applications and Global Markets’ to its database.

Cognitive Computing: Enabler of Advanced Services such as Face Recognition Apps

Service providers are laying primary focus to address maximum end-user expectations and provide superior user experience. Fast accumulating unstructured data across industries is encouraging service providers to instill new technological solutions that can systematically identify, manage, and interpret volumes of unstructured data, contrary to traditional database management solutions.

A recent collaboration between Amazon Web Services (AWS) and Microsoft has augmented launch of Gluon, a deep learning interface that enables end users to develop simplistic machine learning models with enhanced speed and performance. This new addition envisages to add new dimensions to deep learning provided by Microsoft Cognitive Toolkit and MXNet. Improved machine learning plays a pivotal role in a variety of machine learning services such as face recognizing apps, scripts for voice based devices, chat bots amongst others.

Further, to accelerate its upward rise in growth chart, Google DeepMind has introduced AlphaGo based entirely on reinforcement learning technology. This development is crucial in achieving groundbreaking progress in imbibing superhuman skills in AI.    

Government Enabled Cognitive Computing Applications in Education and Healthcare Fosters Growth

Elaborative research postulates encapsulated in the report inform readers about various segments exhibited in cognitive computing market. This section of the report outlays key segments operational in cognitive computing market, which include, technology type, end user and applications. Based on technology type, cognitive computing market is split as machine learning, machine intelligence, natural language processing, and speech recognition. Based on end user, cognitive computing market is bifurcated as enterprise, government, and education. On the basis of application, cognitive computing market is fragmented as financial services, healthcare, military, manufacturing, and others. Detailed summary of segments included in the report aid readers in identifying the segment attributed for maximum revenue generation in cognitive computing market. The report aids readers in understanding the impact of these segments in facilitating growth in cognitive computing market.

North America Emerges as the Fastest Growing Market for Cognitive Computing

Also, research findings incorporated in the report allow readers to understand geographical distribution of cognitive computing market across regions. Based on region, cognitive computing market is sectioned as Europe, North America, Latin America, Asia-Pacific, and Middle East and Africa. The report presents deep understanding about various business strategies incorporated by leading businesses across regions, and their corresponding impact on favorable end-user response and holistic growth of cognitive computing market.

Competitive Landscape: Cognitive Computing Market

Veritable research insights highlighted in the report offer readers to identify and understand winning marketing strategies applied by core market players. Based on these insights, new and existing market players can carry out comprehensive analysis of these business tactics and decipher vital perspectives that allow market players to demonstrate efficient investment policies and business strategies that incur maximum profits in cognitive computing market. Leading players in cognitive computing market include, Google Deepmind AI Solution, Amazon AWS, Microsoft, IBM Watson, and Intel Saffron amongst others.  

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