Significant trends are emerging in the data catalog market, mirroring the dynamic nature of data management and analytics. A notable development is the expanding implementation of data catalogs hosted in the cloud. The increasing adoption of cloud computing by organizations necessitates the development of data catalogs that can be effortlessly integrated with cloud platforms. By providing scalability, flexibility, and accessibility, cloud-based data catalogs accommodate the requirements of contemporary organizations that operate in environments characterized by dynamic and distributed computing. This phenomenon highlights the industry's transition towards capitalizing on the advantages of cloud computing in order to streamline data cataloguing and administration.
An additional significant trend is the increasing focus on automating metadata through the utilization of artificial intelligence (AI) and machine learning (ML). Incorporating AI and ML algorithms into sophisticated data catalogs automates the processes of metadata labeling, data discovery, and recommendation generation. This phenomenon expedites the process of cataloging, elevates the precision of metadata allocations, and optimizes the overall effectiveness of data administration. The incorporation of intelligent automation is consistent with the industry-wide trend toward utilizing AI-powered technologies to improve decision-making and analytics.
Data democratization is a significant trend that is influencing the market for data catalogs. There is a growing acknowledgment among organizations of the significance of ensuring data accessibility to a more extensive user base, extending beyond conventional IT and data science personnel. By providing self-service functionalities, collaboration features, and user-friendly interfaces, data catalogs enable both non-technical users and business analysts to effectively explore, comprehend, and apply data in support of their decision-making processes.
The aforementioned democratization trend signifies a corporate culture transition that encourages the development of a data-driven approach in all organizational functional areas. Another important change is the growing role of data lists in making it easier to follow rules and laws about handling information. To deal with more rules about keeping data safe and private, companies are putting up good ways to handle information. They use things called "data catalogs" for this purpose. Modern data maps help us see where the information came from, how good it is and who's using it. This they do to make sure that rules for protecting this info are followed correctly and its use is fair in every situation. This pattern matches the focus on making data handling procedures responsible and trustworthy across all industries.
People are starting to use teamwork features in data lists more because they need better communication and sharing of knowledge. Modern data lists help people work together by adding notes and talk about ideas. This lets users share knowledge, explain data to others, and make decisions as a team using these lists. This trend of working together shows that managing data well is a job for many people in an organization. Moreover, the joining of data lists with analytics and business intelligence (BI) equipment is becoming popular in the market. Groups want easy connection between data lists and analysis tools. This lets people use those listed data for fast studying right away. This connection makes working with analytics smoother and gives users the power to gain information straight from organized data. The way companies join data lists with tools for math shows they know that managing and using numbers are linked.
Report Attribute/Metric | Details |
---|---|
Market Opportunities | Increase in automation technologies, would generate significant potential in the data catalog industry |
Market Dynamics | Improves Productivity and Life of Employees Aids in Data Governance and Fastens Data Discovery |
Data Catalog Market Size was valued at USD 0.35 Billion in 2021. The Data Catalog industry is projected to grow from USD 0.66 Billion in 2022 to USD 3.10 Billion by 2030, exhibiting a compound annual growth rate (CAGR) of 24.33% during the forecast period (2024 - 2032). Data In a virtual environment where data can be found anywhere, a data catalog is a useful tool in the field of information systems and should not be overlooked. Using a data catalog, a user may discover the necessary data sources, comprehend the sources of data that have been discovered, and aid the company in gaining greater value from its investment accounts.
Data catalogs are becoming more popular. It helps to overcome the barrier between information technology and other companies, enabling everybody to share their thoughts and knowledge. Additionally, by enabling users to cooperate in a new self-platform, the data catalog helps to assure information quality and information management. Furthermore, it offers information on corporate principles and best practices that are related to data management. The It steward or Chief Data Manager may specify this data, which can then be shared by analysts and used to guarantee that data is as accurate as possible.
Figure1: Data Catalog Market, 2018 - 2030 (USD Billion)
Source: Secondary Research, Primary Research, MRFR Database, and Analyst Review
Accelerates data discovery and helps with data governance
Data governance is a set of principles, regulations, and practices that ensures data is reliable, accurate, and consistent and can be used to support digital transformations, drive corporate operations and inform decisions. End-to-end data lineage may help businesses understand where the data comes from, what happens, who uses it, and why. The creation of millions of assets and pieces of information each day makes it challenging for businesses to understand and extract useful information from their data. The enormous volume of data also obstructs effective data governance and management. Utilizing a catalog helps speed up data search and review inside an organization.
Increases output and quality of life for workers
Organizations must put in place the systems and practices that allow data citizens to get the required data as soon as possible if they are to embrace their objective of being data-driven. According to an IBM study, businesses spend more than half of their time looking for data and less than half using it. Even when access is allowed, it is difficult to see the changes that data sets go through. Datasets are repeated as a result, making the employees who create the repeated sets redundantly.
The market segmentation, based on Components, includes Solutions and Services. The Services segment holds the majority share in 2021 of the market. By utilizing metadata management services, a corporation improves data quality by improving visibility and traceability. The majority of data catalog services include a data lineage spanning platforms, summary statistics, datasets, pipelines, graphs, dashboard services, and tagging and documenting capabilities.
Based on Deployment, the market segmentation includes On-Premise and Cloud. The On-Premise segment is accounted for the largest share of the market. Large organizations often use on-premises data catalog services. These provide data security and safeguard data from theft and other types of security breaches. On-premise data catalogs may create an enterprise-scale catalog of all the data the organization has on its systems and give insights into its analysis, regardless of its physical location.
Based on Application, the market segmentation includes Business Intelligence Tools, Enterprise Applications, and Mobile and Web Applications. The Business Intelligence Tool segment is accounted for the largest share of the market. A data catalog gateway for Business Intelligence allows enterprises to get the most out of their data catalog investment. A completely managed self-service monitoring environment is developed by fully integrating catalog information and making it available to all corporate users.
Based on End-users, the market segmentation includes Healthcare, Retail, BFSI, IT & telecommunication, Government, and Other. The BFSI segment dominated the market in 2021. The banking and financial industries were among the first to use data cataloging. Financial analysis is a field that uses statistical tools to identify financial problems.
Figure 2: Data Catalog Market, by End-users, 2021 & 2030 (USD Billion)
Source: Secondary Research, Primary Research, MRFR Database, and Analyst Review
By region, the study provides market insights into North America, Europe, Asia-Pacific, and the Rest of the World. North America is estimated to lead the data catalog demand over the forecast period, owing to the rising use of digital strategic planning in the region, which has resulted in many enterprises migrating towards new and updated solutions. Another factor contributing to the market's expansion is the existence of large data catalog solutions and services in North America. The region with the largest compound annual growth rate (CAGR) is predicted to be Asia Pacific, owing to the rising use of automation and greater demand for visualization tools. Asian markets are gaining pace due to the growth of numerous sectors, including production and healthcare. Other businesses that are developing momentum include banking and financial activities and insurance.
Further, the major countries studied in the market report are The U.S., Canada, Germany, France, the UK, Italy, Spain, China, Japan, India, Australia, South Korea, and Brazil.
Figure 3: DATA CATALOG MARKET SHARE BY REGION 2021 (%)
Source: Secondary Research, Primary Research, MRFR Database, and Analyst Review
The major market players are investing a lot of money in R&D to expand their product lines, which will spur further market growth. With significant market development such as new product releases, increased investments, and collaboration with other organizations, market participants are also undertaking various strategic activities to expand their presence. To grow and thrive in a market climate that is becoming more competitive and growing, competitors in the Data Catalog industry must offer affordable products.
Manufacturing locally to cut operating costs is one of the main business tactics manufacturers use in the Data Catalog industry to benefit customers and expand the market sector. Major market players, including IBM, Informatica, Amazon Web Services, Microsoft, and others, are attempting to increase market demand by funding R&D initiatives.
IBM (International Business Machines) is a firm that sells and services information technology. It provides solutions for automation, data and artificial intelligence (AI), infrastructure, security, and sustainability, such as data management, enterprise content management, business analytics, decision management, data security, cloud hosting, cloud security, asset management, and so on. The company serves banking, energy, insurance, automotive, manufacturing, retail, life science, and various other industries.
Informatica is a software business that specializes in enterprise data integration and management. It creates solutions for cloud analytics modernization, new cloud analytics, customer experience, data governance and trust, regulatory compliance, data science acceleration, analytics insights, and more. The company caters to the financial services, education, healthcare, manufacturing, life sciences, retail, utilities, and government sectors.
Informatica
Collibra
Oracle
Alation
TIBCO Software
Datawatch Corporation
Alteryx
Zaloni
Tamr
November 2022
Amazon EMR customers can now use AWS Glue Data Catalog from their streaming and batch SQL workflows on Flink. AWS Glue Data Catalog is a catalog that works with Apache Hive metastore. Companies may now execute Flink SQL queries directly on the tables that are kept in the Data Catalog.
August 2022
Oracle Cloud Infrastructure announced its collaboration with Anaconda, the world's most recognized data science platform provider. The agreement aims to provide safe, open-source Python and R tools and packages by allowing and integrating the latter company's repository throughout OCI Machine Learning and Artificial Intelligence services.
Solution
Services
On-Premise
Cloud
Business Intelligence Tool
Enterprise Applications
Mobile and Web Applications
Healthcare
Retail
BFSI
IT & telecommunication
Government
Other
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