The global data catalog market size is foreseen to progress from USD 1.38 billion in 2024 to USD 4.07 billion by 2029, at an annual expansion rate of 24.2% during the conjecture period.
A catalog is an information directory that provides information about data sets, files, or a database. It describes the location of a dataset, as well as other information about the type of device the file is stored on. Many companies store a large volume of structured and unstructured data that requires rapid access from different storage sources, which is important to gain a better perspective for making business decisions. For this, companies install integrated solutions, providing benefits to data users with a single solution. To formulate a design and layout action plan, data catalog solutions must be implemented in operations. A predefined set of rules and regulations must be taken into account when retrieving data. Data catalogs, however, are designed according to business preferences.
Data Catalog centralizes metadata at one location to provide a complete view of each data item in databases and contains information on data location, profile comments, statistics, and summaries. Today, many companies have large volumes of structured and unstructured data that require easy access from different storage sources and it is important to obtain better information to make business decisions. It has capabilities that help users, such as analysts, data scientists, or developers, discover and consume data sources. The size of the data catalog market will increase as it provides a metadata layout and crowdsourcing annotation that allows each user to share their knowledge.
The progressions related to self-analysis of data and scaling in the new age are the principal factors promoting the demand in the global Data Catalog market. Growing demand for business intelligence tools, increasing automation technology and availability of real-time data, reducing the cost of infrastructure and obtaining business insights are the major factors in the growth of the Automotive Catalog Market. On the contrary, lack of security and standardization and other privacy issues are considered as critical aspects limiting the growth of the Data Catalog business. The proliferation of data is also giving birth to this growing market.
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REPORT METRIC |
DETAILS |
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Market Size Available |
2023 to 2029 |
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Base Year |
2023 |
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Forecast Period |
2024 to 2029 |
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CAGR |
24.2% |
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Segments Covered |
By Deployment, Component, End User, Data Consumer, Enterprise Size, and Region |
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Various Analyses Covered |
Global, Regional & Country Level Analysis, Segment-Level Analysis, DROC, PESTLE Analysis, Porter’s Five Forces Analysis, Competitive Landscape, Analyst Overview on Investment Opportunities |
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Regions Covered |
North America, Europe, APAC, Latin America, Middle East & Africa |
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Market Leaders Profiled |
Alation, TIBCO Software (United States), Informatica (United States), IBM (United States), Alteryx (United States), Waterline Data (USA), Amazon Web Services (USA), Collibra (Belgium), Microsoft (USA), Zaloni (USA), Datawatch Corporation (USA) and Tamar (USA) and Others. |
the global data catalog market can be separated in the cloud and on-premises. Among these, cloud deployment mode is expected to occupy a larger market size and grow at a higher CAGR during the forecast period. Cloud-based solutions provide comprehensive and agile solutions for end users in the data catalog market.
the data catalog market is classified as solution and service. The data catalog solutions are expected to occupy a larger market size during the forecast period. The integrated solution is supposed to record the highest CAGR in future. The integrated solution improves data quality, optimizes individual productivity, eliminates data duplication and silos, and simplifies data discovery. Various verticals, such as banking, financial and insurance services (BFSI), healthcare, retail, and e-commerce, implement data catalog solutions to access and analyze large volumes of data, formulate various business strategies, and make critical business decisions.
the data catalog market is studied acros, BFSI, healthcare, telecom and IT, retail and e-commerce, research and academia, government, and others (transportation, oil and gas). In the end user segment, the BFSI vertical is expected to be the largest contributor and the Retail and E-commerce vertical is expected to grow at the highest CAGR during the forecast period. Both verticals implement data catalog solutions to access large volumes of data stored across multiple data sources to achieve unified 360-degree view of data, improve customer experience, analyse data trends, and improve the decision-making process.
the data catalog market is divided into Business Intelligence (BI) tools, business applications, and mobile and web applications. In the data consumer segment, the Business Intelligence (BI) tools sub-segment is expected to retain the largest market size during the forecast period. BI tools offer features that help organizations make real-time business decisions with the highest accuracy.
the data catalog market is divided into large and small companies. Among these, large companies are expected to maintain a larger market size and grow at a higher CAGR during the forecast period. The large enterprise segment is adopting data catalog solutions, due to the generation of large volumes of data.
North America is the most competitive and dominates the global data catalog market. This is due to the strong adoption of digital technology and the growing demand for business intelligence tools around the world. The Asia-Pacific region is likely to register significant development during the outlook period. The rapid expansion of traditional businesses and the massive generation of data from all industries, along with the adoption of self-service analytics, are driving growth in this region. Europe should emerge as the world's second largest market.
Some of the key players in the global data catalog market are Alation, TIBCO Software (United States), Informatica (United States), IBM (United States), Alteryx (United States), Waterline Data (USA), Amazon Web Services (USA), Collibra (Belgium), Microsoft (USA), Zaloni (USA), Datawatch Corporation (USA) and Tamar (USA), among others.
In December 2019, Informatica, a key business layer in business data management, launched new features where it tries to track lineage through its AI-based cataloging across multiple ecosystems to improve its records. clientele.
In December 2017, IBM released its full version of Data Cataloging from its IBM Watson data platform. The Cataloging and Governance Beta Program was officially announced discontinued in January 2018, and all users will be able to take advantage of the Lite or Professional plans as they see fit.
In June 2017, TIBCO Software Inc., the global leader in API management, integration, and analytics, launched TIBCO Spotfire Catalog, a new connectivity and data management offering that uses the proprietary composite bonding capability to find automatically the relationship of structured and unstructured information.
By Component
By Deployment Mode
By Data Consumer
By Enterprise Size
By End-User
By Region
Frequently Asked Questions
The increasing volume and complexity of data, the need for data governance and compliance, rising demand for self-service data analytics, and the proliferation of cloud-based solutions are the key factors propelling the growth of the global data catalog market.
AI and ML technologies are enhancing data catalog capabilities by automating metadata discovery, data classification, data lineage, and recommendations, thereby enabling organizations to derive deeper insights from their data assets and improve decision-making processes.
Cloud-based data catalog platforms offer scalability, flexibility, and cost-effectiveness, making them increasingly popular among organizations seeking to modernize their data management infrastructure and leverage the benefits of cloud computing for improved agility and innovation.
Emerging trends include the integration of data catalog solutions with other data management tools such as data governance, data quality, and master data management, the adoption of augmented data catalog capabilities powered by AI and ML, and the increasing focus on data democratization and self-service analytics.
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