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The Asia Pacific Data Fusion Market would witness market growth of 17.1% CAGR during the forecast period (2017 ? 2023). Data fusion accurately detects and combines data to generate better levels of information and single out new knowledge which could be shared with the right users for better decision-making. Data fusion process is a collection of various big data sources, delivering comprehensive view on customer and business data across various organizational vertical. Organizations are rapidly deploying data fusion tools either on- premises or on-demand models. The demand for on-demand or cloud-based data fusion tools is significant, as the technology is cost-effective and highly time-efficient. The growth of the On-demand data fusion tools is majorly observed in the Small and Medium-sized Enterprises (SMEs), where low-cost solutions are much required. Based on Component, the market report segments the market into Tools and Services. The Services market is segmented into Professional and Managed Services. Based on Business Function, the market is segmented into Information Technology, Sales & Marketing, Finance, Operations, and Others. Based on Organization Size, the market report segments the market into Small & Medium Enterprises and Large Enterprises. Based on Deployment Type, the Data Fusion market segments the market into Cloud and On-Premise. Based on Vertical, the market report segments the market into BFSI, Government, Energy & Utilities, Healthcare, Manufacturing, Retail & Consumer Goods, Telecom & IT, Education, and Others. Based on Countries, the Data Fusion 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 stake holders of the Asia Pacific Data Fusion Market. Key companies profiled in the report include Thomson Reuters, AGT International, ESRI, RELX Group (LexisNexis), Palantir Technologies, Cogint, Inc., TDK Corporation (InvenSense), Clarivate Analytics, Merrick & Company, and INRIX.