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The Asia Pacific Cognitive Analytics Market would witness market growth of 45.8% CAGR during the forecast period (2017 - 2023). Cognitive analytics is a data forward approach which starts and ends with what?s contained in the information. This approach of data unveils connections, patterns and collocations that enable unprecedented, even unexpected insights into data like never before.
The cognitive analytics market would witness unprecedented growth within the fraud and risk management applications, as analyzing and clarifying ambiguous and uncertain data, and finding known and unknown risk indicators is relatively easy. The combination of data processing abilities with learning capabilities, the cognitive systems could be useful in detecting deep hidden anomalies and patterns, which would otherwise be impossible to detect with the traditional approaches.
Based on Type, the market report segments the market into Tools and Services. Service Type includes Professional and Managed Services. Based on Application, the market is segmented into Asset Maintenance, Fraud & Risk Management, Sales & Marketing, Supply Chain Management, and Others. Based on Organization Size, the market report segments the market into Small & Medium Enterprises and Large Enterprises.
Based on the Deployment Type, the Asia Pacific Cognitive Analytics market segments the market into Cloud and On-Premise. Based on Verticals, the market report segments the market into BFSI, Retail & Consumer Goods, Energy & Utilities, Healthcare, Manufacturing, Government, Telecom & IT, Education, and Others. Based on Countries, the Asia Pacific Cognitive Analytics market segments the market into China, Japan, India, South Korea, Singapore, Malaysia, and Rest of Asia Pacific.
The market research report covers the competition analysis of key stakeholders of the Asia Pacific Cognitive Analytics Market. Key companies profiled in the report include IBM Corporation, Amazon Web Services, Google, Inc., Microsoft Corporation, Oracle Corporation, SAS Institute, Inc., Intel Corporation, Cisco Systems, Inc., Nokia Corporation, and Hewlett Packard Enterprise (HPE) Company.