Global Cognitive Computing report from Global Insight Services is the single authoritative source of intelligence on Cognitive Computing market. The report will provide you with analysis of impact of latest market disruptions such as Russia-Ukraine war and Covid-19 on the market. Report provides qualitative analysis of the market using various frameworks such as Porters’ and PESTLE analysis. Report includes in-depth segmentation and market size data by categories, product types, applications, and geographies. Report also includes comprehensive analysis of key issues, trends and drivers, restraints and challenges, competitive landscape, as well as recent events such as M&A activities in the market.
Cognitive computing is an area of artificial intelligence that deals with the simulation of human thought processes in a computerized model. It is also known as artificial general intelligence.
Cognitive computing systems are designed to learn and interact with humans in a natural way, and to solve problems that are too difficult for traditional computer systems. They are able to do this by mimicking the way the human brain works, and by using techniques from a variety of AI fields such as machine learning, natural language processing, and computer vision.
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Market Segments
The cognitive computing market report is bifurcated on the basis of technology, deployment mode, organization size, industry vertical, and region. On the basis of technology, it is segmented into natural language processing, machine learning, automated reasoning, and others. Based on deployment mode, it is analyzed across on-premises and cloud. By organization size, it is categorized into small & medium enterprises and large enterprise. By industry vertical, it is divided into BFSI, IT & telecom, healthcare, retail, manufacturing, and others. Region-wise, it is studied across North America, Europe, Asia-Pacific, and rest of the World.
Key Players
The cognitive computing market report includes players such as Google, IBM, Microsoft Corporation, Oracle Corporation, SAP, Saffron Technology, Cognitive Scale, Numenta, Palantir, and, Tibco Software.
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Key Drivers
There are a few key drivers of the cognitive computing market. First, the increasing amount of data being generated is driving the need for more sophisticated methods of analyzing this data. Second, the need for faster and more accurate decision making is driving the need for cognitive computing. Third, the increasing complexity of the world is driving the need for more intelligent systems. Finally, the advancement of artificial intelligence (AI) is providing the technology necessary to develop cognitive computing systems.
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