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The Global Data Fusion Market size is expected to reach $17.1 billion by 2023, rising at a market growth of 15.1% CAGR during the forecast period. Data fusion is a process of data integration from multiple, disparate data sources to produce accurate, consistent, and more meaningful information than provided by a single data source. 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. Rapid adoption of data-driven decision-making and introduction of Industrial Internet of Things (IIoT) are the factors that would drive the growth of the data fusion market. Management and maintenance of the data quality and dearth of skilled workforce are some of the major factors limiting the growth of the data fusion market.
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 Regions, the Data Fusion market segments the market into North America, Europe, Asia Pacific, and Latin America, Middle East & Africa.
The market research report covers the competition analysis of key stake holders of the Global 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.