Machine Learning Market Statistics - Ironpaper

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The global cognitive computing market is expected to reach 12.5 billion in 2019, up from 2.5 billion in 2014, at a CAGR of 38%. Cognitive computing is another way of describing machine learning, an area of computer science which sees machines recognizing patterns and learning new material -- without being explicitly programmed by a human. As more businesses identify benefits of cognitive computing, the machine learning market is growing. Possible applications of machine learning are vast and varied. A survey from 451 Research outlines future initiatives that will impact the growth, use of, and quality of data under management, which is a critical component of machine learning and AI.


Global Healthcare Cognitive Computing Market Report 2019 7ᵗʰ edition Top Companies, Sales, Revenue, Forecast and Detailed Analysis - Market Trends

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Healthcare Cognitive Computing market report is based on present industry situations, market demands, business strategies utilized by prominent players involved in this market along with their growth synopsis. This report has been segmented into types, applications and regions. The report also comprises major drivers boosting this market. Healthcare Cognitive Computing market worth about XX million USD in 2018 and it is expected to reach YY million USD in 2026 with a CAGR of AA% during the forecast period. Cognitive computing (CC) describes technology platforms that are based on the scientific disciplines of artificial intelligence and signal processing.


Global Cognitive Analytics Market – Industry Analysis and Forecast (2017-2024) - StatsFlash

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Global Cognitive Analytics Market is expected to reach US$ 26.3 Bn by 2024 from US$ 5.5 Bn in 2016 at a CAGR of 25.1%. The global cognitive analytics market is segmented based on service type, end user, vertical, and geography. The service type segment is further bifurcated into cloud engineering, maintenance services, product engineering, experience engineering, security engineering, maintenance services, and others. Moreover, the end user segment of the cognitive computing market is further classified as small & medium enterprises, large enterprises. Vertical bifurcates the cognitive analytics market into healthcare, IT & telecom, automotive, energy & utilities, aerospace & defense, industrial manufacturing, transportation & logistics, and others.


Global Cognitive Computing Market Remarkable Growth Factors, New Innovations Of Leading Players & Forecast Till 2028 - Market Newsmirror

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The Cognitive Computing Market report includes the leading advancements and technological up-gradation that engages the user to inhabit with fine business selections, define their future-based priority growth plans, and to implement the necessary actions. The global Cognitive Computing Market report also offers a detailed summary of key players and their manufacturing procedure with statistical data and profound analysis of the products, contribution, and revenue. Every information given in the report is sourced and verified by our expert team and is collated with precision. To give a broad overview of the current global market trends and strategies led by key businesses, we present the information in a graphical format such as graphs, pie-charts with the superior illustration.


Cognitive systems industry driving more knowledge into IT learning

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The global cognitive systems market will generate revenues worth 50 billion between 2016 and 2020, aided by development of self-learning IT systems, new research from Technavio reports. The report, Global Cognitive Systems Market 2016-2020, shows that cognitive applications are being increasingly integrated with machine learning, which helps real-time communications between people and IT systems. The applications also help draw independent conclusions as well as data processing capabilities. These are developed to mimic the human thinking process or learning, understanding and evaluating different situations. Predictive analytics are driving the growth, as well as the potential for modelling techniques and the potential data from the Internet of Things (IoT), says Amit Sharma, lead analyst, ICT at Technavio Research.