The data catalog solutions deployed in the cloud or on-premises empower organizations to reduce operational costs, and offer benefits, such as ease of use, easier deployment, and higher scalability.
MarketsandMarkets expects the global data catalog market size to grow from USD 210.0 Million in 2017 to USD 620.0 Million by 2022, at a Compound Annual Growth Rate (CAGR) of 24.2% during the forecast period.
An increasing need for data catalog solutions, automation, business intelligance (BI) solutions, real-time availability of data, accessing large volumes of data stored across various systems to get a consolidated view, reducing infrastructure costs, and gaining business insights is the major growth driver for the data catalog market.Download PDF Brochure @ https://www.marketsandmarkets.com/pdfdownloadNew.asp?id=48918216Browse 66 market data Tables and 44 Figures spread through 126 Pages and in-depth TOC on "Data Catalog Market by Component (Solution and Service), Deployment Mode (Cloud and On-Premises), Data Consumer (BI Tools, Enterprise Applications, Mobile and Web Applications), Enterprise Size, End-User, and Region - Global Forecast to 2022"Major vendors in the global data catalog market are IBM (US), Informatica (US), Amazon Web Services (US), Alteryx (US), Collibra (Belgium), Alation (US), Microsoft (US), TIBCO Software (US), Datawatch Corporation (US), Waterline Data (US), Zaloni (US), and Tamr (US).
New product launches and partnerships are key growth strategies adopted by these market players to offer feature-rich products and services to their customers and to enter the unserved regions.IBM is one of the leading vendors in the data catalog market.
For instance, in March 2017, IBM formed a partnership with Salesforce to seamlessly connect IBM Watson and Salesforce Einstein to enable an entirely new level of intelligent customer engagement across sales, service, marketing, commerce, and more.
In November 2017, IBM announced addition of new offerings to its Watson Data Platform, including data cataloging and data refining.