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Market Outlook: Intelligent Data Catalogs, 2019-2024, Worldwide

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Intelligent Data Catalogs Market Overview

Driven by the exponential growth of structured, semi-structured, and unstructured data, enterprise organizations continue to face significant challenges in terms of data management, governance, and analysis to get valuable insights. Traditional data catalogs, data warehouses, data lakes, and metadata management solutions often lack necessary discipline and intelligence to handle the ever-expanding volume, variety, speed, data sources, and data stores.

Intelligent data catalog provides a centralized platform to integrate data across internal and external sources, improve data quality, and provides a unified contextual view of metadata, their relationship, and usage. Intelligent data catalogs can extract data across sources including on-premise to cloud, data warehouse and data lakes, IoT, social media, internet, external sources, and such others. Leveraging machine learning, artificial intelligence, and automation, intelligent data catalogs enable business, IT, and data governance professionals to identify complex relationship across data structures, improves data quality, uncover duplicate data sets, draw semantic inferences, recommends alternate data sets based on data quality and usage, and understand data lineage. It helps organizations in discovery, curation, governance, and analysis of enterprise data assets to support data-driven digital business initiatives. Intelligent data catalogs also provide role-based user access control to improve data protection and compliance with global regulations.

Intelligent data catalogs research by Quadrant Knowledge Solutions Infographics

Quadrant Knowledge Solutions Intelligent Data Catalogs Market Outlook Research service includes a detailed analysis of the global Intelligent Data Catalogs market regarding short-term and long-term growth opportunities, emerging technology trends, market trends, and future market outlook. The study provides competition analysis and ranking of the leading Intelligent Data Catalogs vendors in the form of SPARK Matrix. Additionally, This research provides strategic information for technology vendors to better understand the market supporting their growth strategies and for users to evaluate different vendors capabilities, competitive differentiation, and its market position.

SPARKTM Matrix: Quadrant Knowledge Solutions’ SPARK Matrix (Strategic Performance Assessment and Ranking) provides a visual representation and strategic insights on how each vendor ranks against their competitors, with respect to various performance parameters based on the category of technology excellence and customer impact. Intelligent Data Catalogs SPARK Matrix includes analysis of the leading vendors, including Adaptive, Alation, ASG Technologies, Cambridge Semantics, Cloudera, Collibra, IBM, Infogix, Informatica, Io-Tahoe, Oracle, Reltio, Talend, Unifi Software, and Waterline Data.

DataSheet: This research is also available as an Excel Workbook with extended market forecast analysis for 10 years to understand long-term trends of the overall market and its segments.


Table of Contents

Executive Overview

  • Intelligent Data Catalogs Market Overview
  • Key Research Findings

Market Background, Key Market Trends, and Market Drivers

Market Adoption and Deployment Trends

Regional Trends and Forecasts

Industry Trends and Forecasts

Competition Analysis & SPARK Matrix 

  • Competition Analysis
  • Competitive Factors and Technology Differentiators
  • Leading Vendor Profiles and Analysis
  • SPARK Matrix – Intelligent Data Catalogs

Research Methodologies

Intelligent Data Catalogs Market Outlook research is a part of our Data, Analytics, & AI practice. This research report is available to all our Subscription Services Clients or based on an individual purchase. For more information, write to rmehar@quadrant-solutions.com.


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