Global Data Catalog Market

Data Catalog Market Size, Share, Growth Analysis, By Engine Size (400 cc-800 cc, Above 800cc), By Application (Sports, Military & Defense), By Drive Type (2WD, 4WD), By Region -Industry Forecast 2025-2032

Report ID: SQMIG45A2405 | Region: Global | Published Date: December, 2024
Pages: 188 | Tables: 116 | Figures: 72

Data Catalog Market Competitive Landscape

Notable companies have adopted product launches and growth as their primary business strategy to increase their market share, followed by expansions, mergers and acquisitions, alliances, agreements and discoveries. Companies are acquiring early data catalog suppliers with more extensive product lines. For instance, in January 2020, Hitachi Vantara bought Waterline. Integrating Waterline Data technology with Hitachi Vantara's Lumada Data Services lineup will make a common metadata framework available to customers to mitigate data silos dispersed throughout the data center, cloud, and machines and devices at the edges of their networks.

Top Player’s Company Profiles

  • Alation
  • Alteryx
  • Amazon Web Services (AWS)
  • Collibra
  • Cloudera
  • Datawatch Corporation
  • Google LLC
  • IBM Corporation
  • Informatica
  • Microsoft Corporation
  • Oracle Corporation
  • TIBCO Software
  • Waterline Data
  • Zaloni
  • Exasol

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Global Data Catalog Market size was valued at USD 736.2 Million in 2022 and is poised to grow from USD 907.00 Million in 2023 to USD 4813.85 Million by 2031, growing at a CAGR of 23.2% in the forecast period (2024-2031).

Notable companies have adopted product launches and growth as their primary business strategy to increase their market share, followed by expansions, mergers and acquisitions, alliances, agreements and discoveries. Companies are acquiring early data catalog suppliers with more extensive product lines. For instance, in January 2020, Hitachi Vantara bought Waterline. Integrating Waterline Data technology with Hitachi Vantara's Lumada Data Services lineup will make a common metadata framework available to customers to mitigate data silos dispersed throughout the data center, cloud, and machines and devices at the edges of their networks. 'Alation', 'Alteryx', 'Amazon Web Services (AWS)', 'Collibra', 'Cloudera', 'Datawatch Corporation', 'Google LLC', 'IBM Corporation', 'Informatica', 'Microsoft Corporation', 'Oracle Corporation', 'TIBCO Software', 'Waterline Data', 'Zaloni', 'Exasol'

With rapidly growing volumes of data across organizations, finding and understanding critical data assets has become a major challenge. Organizations are struggling to get a unified view of their data landscape and lack transparency in where key data is located and how it can be accessed. This has serious implications as critical business decisions are often made based on analysis of internal and external data. Not having the right data at the right time significantly impacts organizational efficiency, productivity, and competitiveness.

Growing Adoption of AI and Automation Technologies: Data catalogs increasingly incorporated Machine Learning (ML) and Artificial Intelligence (AI) to automate metadata tagging, data classification, and data lineage tracking tasks. This trend aimed to reduce manual efforts and improve data accuracy. For instance, in many organizations, a large amount of data is collected from multiple sources, and various systems are used to analyze the data. Adopting AI and machine learning technology in this application is vital in providing detailed insights into how data flows through various systems and transformations. This helps organizations to ensure data accuracy, trace data issues, and comply with regulatory requirements effectively.

North America currently dominates the market owing to heavy investments in data management technologies by established players across industries in the region. However, over the coming years. This is primarily due to strong presence of leading technology companies and top data catalog vendors in countries like the U.S. The region is an early adopter of data catalog solutions driven by growing data volumes and focus on data governance. Furthermore, the presence of large enterprises from various sectors who appreciate value of data-driven decision making has propelled investments in data catalog platforms.

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Global Data Catalog Market

Report ID: SQMIG45A2405

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