Data Catalog Market

Data Catalog Market

Data Catalog Market Forecasts to 2030 - Global Analysis By Component (Solutions, Services and Other Components), Organization Size (SMEs and Large Enterprises), Deployment Mode (Cloud and On-Premises), Data Consumer (Business Intelligence Tools, Enterprise Applications, Mobile and Web Applications and Other Data Consumers), Metadata Type, End User and By Geography

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4.9 (68 reviews)
Published: 2023 ID: SMRC23791

This report covers the impact of COVID-19 on this global market

Years Covered


Estimated Year Value (2023)

US $0.85 BN

Projected Year Value (2030)

US $3.43 BN

CAGR (2023 - 2030)


Regions Covered

North America, Europe, Asia Pacific, South America, and Middle East & Africa

Countries Covered

US, Canada, Mexico, Germany, UK, Italy, France, Spain, Japan, China, India, Australia, New Zealand, South Korea, Rest of Asia Pacific, South America, Argentina, Brazil, Chile, Middle East & Africa, Saudi Arabia, UAE, Qatar, and South Africa

Largest Market

North America

Highest Growing Market


According to Stratistics MRC, the Global Data Catalog Market is accounted for $0.85 billion in 2023 and is expected to reach $3.43 billion by 2030 growing at a CAGR of 22.0% during the forecast period. A data catalog is a centralized solution that enables authorized users to have quick access to the most accurate and reliable business data available to the company. Moreover, it serves as a central repository for all information and data sources within an organization, allowing technical and business users to look for, order, and obtain the datasets they need to complete tasks, conduct routine business operations, and generate analytical reports. Due to the abundance of data, data cataloging is becoming crucial for every large company.

According to a study by Sisense, about 55% of the companies studied have started to use data to improve efficiency, about 47% to support customers, and about 45% to predict future outcomes. Since small firms are more concerned with efficiency than larger enterprises, the industry is seeing an increase in the demand for products like data catalogs.

Market Dynamics:


Increasing use of self-service analytics

Data catalogs have increased the importance of data security by making data retrieval quick and precise. Self-service analytics are therefore safer, as customers are more aware of the security provided by data catalog software. As a result, numerous products are integrated, and new products are released onto the market. The trend is anticipated to continue throughout the projected period, boosting vendor competition. Additionally, the expanding self-analytic data advancement and the intensified data in the new-age corporate environment are vital factors that offer appealing opportunities for expanding data catalog solution providers to introduce new and highly useful. Since the cloud offers users a centralized view of their data and performs better at a lower cost, self-service businesses are increasingly using it.


Security problems and a lack of standardization

Businesses struggle with unstructured data problems, which makes it difficult to adopt catalog solutions. To obtain enterprise data for modeling or to provide insights for their analytics teams, data scientists must manage the complexity of fuzzy data sets from various sources, which is a difficult task. This condition cannot last in the long run, given the exponential growth of data. In addition, many companies that invest in maintaining legacy data or data warehouses end up with silos of fuzzily organized data sets from a variety of sources and archives of idle data for protracted periods. Moreover, these datasets frequently present difficulties when implementing data catalogs.


Industry digital transformation

To remain competitive and relevant in the digital age, there has been a push for digital transformation across all industries. Through the use of technologies like cloud computing, big data analytics, IoT, and AI, businesses sought to improve customer experiences, streamline operations, and optimize decision-making processes. Moreover, companies providing software and services for digital transformation as well as consulting firms with a focus on digital strategy all played a significant role in assisting organizations with this transition.


Budget and resource restrictions

The difficulties with implementing a data catalog in terms of cost and resource implications are numerous. Organizations must set aside ongoing funds for system upkeep, updates, and support in addition to the initial investment in purchasing and deploying data catalog tools. Furthermore, resources, both financial and human, may be strained as a result, especially in smaller organizations with tighter budgets. The difficulties are made even more difficult by the complexity of cost estimation and the potential for unanticipated costs, underscoring the significance of careful financial planning and resource allocation for the success of data catalog initiatives.

Covid-19 Impact:

Due to organizations stepping up their efforts to transform into digital businesses and adopt remote working practices, the COVID-19 pandemic had a significant effect on the data catalog market. Data catalog solutions are in higher demand as a result of the growing need for effective data management and collaboration. Additionally, budget restrictions and economic uncertainty, however, also had an impact on market dynamics, causing some businesses to postpone or rethink their investments in data catalogs. Overall, the pandemic highlighted the value of data cataloging in a business environment that is rapidly changing, creating both opportunities and challenges for the market.

The IT and Telecom segment is expected to be the largest during the forecast period

During the anticipated period, the IT and telecom segment held the largest revenue share. The industry's extensive use of network metadata can be blamed for the largest share. By maintaining a record of all communications within the current network architecture, including switches, firewalls, routers, and packet brokers, network metadata provides comprehensive details of network communications. Moreover, network metadata is scalable and can enable full network monitoring as an analyzer gathers packet data, sorts, processes, and indexes it with graphs and statistics regarding network traffic, usage, capacity, and application performance. Both technical and business metadata are essentially data about data. When developing these security solutions, the majority of security agencies also use metadata insights.

The business intelligence tools segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the business intelligence tools segment is anticipated to grow at the highest CAGR. Business intelligence (BI) combines infrastructure, data tools, best practices, data mining, data visualization, and business analytics to help organizations make more data-driven decisions. Business intelligence teams use data catalogs to centralize dashboards and automate reporting in order to conduct effective analytics. Additionally, business intelligence (BI) is growing as more decisions involving their operations require assistance from statistical modeling methods. BI tools like Hadoop require in-depth technical knowledge for the creation and management of data models, algorithms, and queries.

Region with largest share:

The largest market share is anticipated for the North American region during the anticipated period. In North America, both the extensive use of digital technology and the rising demand for business intelligence solutions have increased. Additionally, the acceptance of self-service analytics, rapid traditional organization expansion, and the collection of enormous volumes of data from all industries have all led to a significant increase in demand for data catalog systems and services. These factors have accelerated the growth of the local data catalog market.

Region with highest CAGR:

During the forecast period, the Europe region is anticipated to grow at the highest CAGR. Some of the most important tech hubs in the world are located in Europe, which are a significant driver and adopter of modern technology. Realizing the advantages of digital technologies is essential for the growth and success of the European economy and society. Moreover, the European Data Incubator offers entrepreneurs and teams with EU headquarters specialized acceleration programs and funding totalling EUR 5 million. In order to address real industry challenges presented by EU corporate and data providers across a wide range of sectors, including smart cities, energy and environment, internet and media, Industry 4.0, and retail, EDI focuses on big data innovators and entrepreneurs from across Europe.

Key players in the market

Some of the key players in Data Catalog market include Hitachi Vantara Corporation, Google, Oracle Corporation, Altair Engineering, Inc , Precisely Inc, Microsoft Corporation, Tamr, Inc, Alation, Inc, SAP SE, Collibra NV, Apache Software Foundation, IBM Corporation, Zaloni, Inc, Alteryx, Inc, Datawatch Corporation , Talend Inc, Boomi, Inc, Informatica Inc, Amazon Web Services, Inc and TIBCO Software Inc.

Key Developments:

In August 2023, Google Cloud and El Salvador signed a seven-year agreement under which the Silicon Valley giant will install its Distributed Cloud (GDC) and a cloud center of excellence in the country, according to a release. GDC involves hardware and software solutions that extend Google Cloud's infrastructure and services locally.

In June 2023, Hitachi Vantara, the modern infrastructure, data management and digital solutions subsidiary of Hitachi, Ltd., today announced two new global partnership agreements with Cisco. The agreements bring Hitachi Vantara into Cisco's Service Provider and Solution Technology Integrator partner programs, respectively, enabling Hitachi Vantara to seamlessly integrate Cisco technologies with its storage products and position the company as a leading data center infrastructure and hybrid cloud managed services provider.

In February 2023, Technology company Oracle Corp. has signed a contract with Accenture to improve the training Department of Veterans Affairs clinicians receive on using the VA’s Cerner Millennium-based electronic health record platform. Speaking with FedScoop, Oracle Executive Vice President Ken Glueck said Oracle-owned Cerner had determined it needed additional support from consultancy firm Accenture after identifying this as an area where program improvement is needed.

Components Covered:
• Solutions
• Services
• Other Components

Organization Sizes Covered:
• SMEs
• Large Enterprises

Deployment Modes Covered:
• Cloud
• On-Premises

Data Consumers Covered:
• Business Intelligence Tools
• Enterprise Applications
• Mobile and Web Applications
• Other Data Consumers

Metadata Types Covered:
• Technical Metadata
• Business Metadata
• Operational Metadata
• Other Metadata Types

End Users Covered:
• Retail and E-Commerce
• Manufacturing
• Government and Defence
• Healthcare and Life Sciences
• IT and Telecom
• Media and Entertainment
• Transportation and Logistics
• Research and Academia
• Government and Defense
• Transportation
• Oil and Gas
• Other End Users

Regions Covered:
• North America
o US
o Canada
o Mexico
• Europe
o Germany
o UK
o Italy
o France
o Spain
o Rest of Europe
• Asia Pacific
o Japan
o China
o India
o Australia
o New Zealand
o South Korea
o Rest of Asia Pacific
• South America
o Argentina
o Brazil
o Chile
o Rest of South America
• Middle East & Africa
o Saudi Arabia
o Qatar
o South Africa
o Rest of Middle East & Africa

What our report offers:
- Market share assessments for the regional and country-level segments
- Strategic recommendations for the new entrants
- Covers Market data for the years 2021, 2022, 2023, 2026, and 2030
- Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
- Strategic recommendations in key business segments based on the market estimations
- Competitive landscaping mapping the key common trends
- Company profiling with detailed strategies, financials, and recent developments
- Supply chain trends mapping the latest technological advancements

Free Customization Offerings:
All the customers of this report will be entitled to receive one of the following free customization options:
• Company Profiling
o Comprehensive profiling of additional market players (up to 3)
o SWOT Analysis of key players (up to 3)
• Regional Segmentation
o Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
• Competitive Benchmarking
Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface
2.1 Abstract
2.2 Stake Holders
2.3 Research Scope
2.4 Research Methodology
2.4.1 Data Mining
2.4.2 Data Analysis
2.4.3 Data Validation
2.4.4 Research Approach
2.5 Research Sources
2.5.1 Primary Research Sources
2.5.2 Secondary Research Sources
2.5.3 Assumptions

3 Market Trend Analysis
3.1 Introduction
3.2 Drivers
3.3 Restraints
3.4 Opportunities
3.5 Threats
3.6 End User Analysis
3.7 Emerging Markets
3.8 Impact of Covid-19

4 Porters Five Force Analysis
4.1 Bargaining power of suppliers
4.2 Bargaining power of buyers
4.3 Threat of substitutes
4.4 Threat of new entrants
4.5 Competitive rivalry

5 Global Data Catalog Market, By Component
5.1 Introduction
5.2 Solutions
5.2.1 Standalone Solution
5.2.2 Integrated Solution
5.3 Services
5.3.1 Professional Service Support and Maintenance Services Consulting Services Deployment and Integration Services
5.3.2 Managed Services
5.4 Other Components

6 Global Data Catalog Market, By Organization Size
6.1 Introduction
6.2 SMEs
6.3 Large Enterprises

7 Global Data Catalog Market, By Deployment Mode
7.1 Introduction
7.2 Cloud
7.3 On-Premises

8 Global Data Catalog Market, By Data Consumer
8.1 Introduction
8.2 Business Intelligence Tools
8.2.1 Data Integration and ETL
8.2.2 Reporting and Visualization
8.2.3 Query and Analysis
8.3 Enterprise Applications
8.3.1 ERP(Enterprise Resource Planning)
8.3.2 Supply Chain Management System
8.4 Mobile and Web Applications
8.4.1 Heat Map Analytics
8.4.2 Web Behavioral Analysis
8.4.3 Market Automation
8.5 Other Data Consumers

9 Global Data Catalog Market, By Metadata Type
9.1 Introduction
9.2 Technical Metadata
9.3 Business Metadata
9.4 Operational Metadata
9.5 Other Metadata Types

10 Global Data Catalog Market, By End User
10.1 Introduction
10.2 BFSI
10.3 Retail and eCommerce
10.4 Manufacturing
10.5 Government and Defence
10.6 Healthcare and Life Sciences
10.7 IT and Telecom
10.8 Media and Entertainment
10.9 Transportation and Logistics
10.10 Research and Academia
10.11 Government and Defense
10.12 Transportation
10.13 Oil and Gas
10.14 Other End Users

11 Global Data Catalog Market, By Geography
11.1 Introduction
11.2 North America
11.2.1 US
11.2.2 Canada
11.2.3 Mexico
11.3 Europe
11.3.1 Germany
11.3.2 UK
11.3.3 Italy
11.3.4 France
11.3.5 Spain
11.3.6 Rest of Europe
11.4 Asia Pacific
11.4.1 Japan
11.4.2 China
11.4.3 India
11.4.4 Australia
11.4.5 New Zealand
11.4.6 South Korea
11.4.7 Rest of Asia Pacific
11.5 South America
11.5.1 Argentina
11.5.2 Brazil
11.5.3 Chile
11.5.4 Rest of South America
11.6 Middle East & Africa
11.6.1 Saudi Arabia
11.6.2 UAE
11.6.3 Qatar
11.6.4 South Africa
11.6.5 Rest of Middle East & Africa

12 Key Developments
12.1 Agreements, Partnerships, Collaborations and Joint Ventures
12.2 Acquisitions & Mergers
12.3 New Product Launch
12.4 Expansions
12.5 Other Key Strategies

13 Company Profiling
13.1 Hitachi Vantara Corporation
13.2 Google
13.3 Oracle Corporation
13.4 Altair Engineering, Inc
13.5 Precisely Inc
13.6 Microsoft Corporation
13.7 Tamr, Inc
13.8 Alation, Inc
13.9 SAP SE
13.10 Collibra NV
13.11 Apache Software Foundation
13.12 IBM Corporation
13.13 Zaloni, Inc
13.14 Alteryx, Inc
13.15 Datawatch Corporation
13.16 Talend Inc
13.17 Boomi, Inc
13.18 Informatica Inc
13.19 Amazon Web Services, Inc
13.20 TIBCO Software Inc

List of Tables
1 Global Data Catalog Market Outlook, By Region (2021-2030) ($MN)
2 Global Data Catalog Market Outlook, By Component (2021-2030) ($MN)
3 Global Data Catalog Market Outlook, By Solutions (2021-2030) ($MN)
4 Global Data Catalog Market Outlook, By Standalone Solution (2021-2030) ($MN)
5 Global Data Catalog Market Outlook, By Integrated Solution (2021-2030) ($MN)
6 Global Data Catalog Market Outlook, By Services (2021-2030) ($MN)
7 Global Data Catalog Market Outlook, By Professional Service (2021-2030) ($MN)
8 Global Data Catalog Market Outlook, By Managed Services (2021-2030) ($MN)
9 Global Data Catalog Market Outlook, By Other Components (2021-2030) ($MN)
10 Global Data Catalog Market Outlook, By Organization Size (2021-2030) ($MN)
11 Global Data Catalog Market Outlook, By SMEs (2021-2030) ($MN)
12 Global Data Catalog Market Outlook, By Large Enterprises (2021-2030) ($MN)
13 Global Data Catalog Market Outlook, By Deployment Mode (2021-2030) ($MN)
14 Global Data Catalog Market Outlook, By Cloud (2021-2030) ($MN)
15 Global Data Catalog Market Outlook, By On-Premises (2021-2030) ($MN)
16 Global Data Catalog Market Outlook, By Data Consumer (2021-2030) ($MN)
17 Global Data Catalog Market Outlook, By Business Intelligence Tools (2021-2030) ($MN)
18 Global Data Catalog Market Outlook, By Data Integration and ETL (2021-2030) ($MN)
19 Global Data Catalog Market Outlook, By Reporting and Visualization (2021-2030) ($MN)
20 Global Data Catalog Market Outlook, By Query and Analysis (2021-2030) ($MN)
21 Global Data Catalog Market Outlook, By Enterprise Applications (2021-2030) ($MN)
22 Global Data Catalog Market Outlook, By ERP(Enterprise Resource Planning) (2021-2030) ($MN)
23 Global Data Catalog Market Outlook, By Supply Chain Management System (2021-2030) ($MN)
24 Global Data Catalog Market Outlook, By Mobile and Web Applications (2021-2030) ($MN)
25 Global Data Catalog Market Outlook, By Heat Map Analytics (2021-2030) ($MN)
26 Global Data Catalog Market Outlook, By Web Behavioral Analysis (2021-2030) ($MN)
27 Global Data Catalog Market Outlook, By Market Automation (2021-2030) ($MN)
28 Global Data Catalog Market Outlook, By Other Data Consumers (2021-2030) ($MN)
29 Global Data Catalog Market Outlook, By Metadata Type (2021-2030) ($MN)
30 Global Data Catalog Market Outlook, By Technical Metadata (2021-2030) ($MN)
31 Global Data Catalog Market Outlook, By Business Metadata (2021-2030) ($MN)
32 Global Data Catalog Market Outlook, By Operational Metadata (2021-2030) ($MN)
33 Global Data Catalog Market Outlook, By Other Metadata Types (2021-2030) ($MN)
34 Global Data Catalog Market Outlook, By End User (2021-2030) ($MN)
35 Global Data Catalog Market Outlook, By BFSI (2021-2030) ($MN)
36 Global Data Catalog Market Outlook, By Retail and eCommerce (2021-2030) ($MN)
37 Global Data Catalog Market Outlook, By Manufacturing (2021-2030) ($MN)
38 Global Data Catalog Market Outlook, By Government and Defence (2021-2030) ($MN)
39 Global Data Catalog Market Outlook, By Healthcare and Life Sciences (2021-2030) ($MN)
40 Global Data Catalog Market Outlook, By IT and Telecom (2021-2030) ($MN)
41 Global Data Catalog Market Outlook, By Media and Entertainment (2021-2030) ($MN)
42 Global Data Catalog Market Outlook, By Transportation and Logistics (2021-2030) ($MN)
43 Global Data Catalog Market Outlook, By Research and Academia (2021-2030) ($MN)
44 Global Data Catalog Market Outlook, By Government and Defense (2021-2030) ($MN)
45 Global Data Catalog Market Outlook, By Transportation (2021-2030) ($MN)
46 Global Data Catalog Market Outlook, By Oil and Gas (2021-2030) ($MN)
47 Global Data Catalog Market Outlook, By Other End Users (2021-2030) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.

List of Figures


Research Methodology

We at Stratistics opt for an extensive research approach which involves data mining, data validation, and data analysis. The various research sources include in-house repository, secondary research, competitor’s sources, social media research, client internal data, and primary research.

Our team of analysts prefers the most reliable and authenticated data sources in order to perform the comprehensive literature search. With access to most of the authenticated data bases our team highly considers the best mix of information through various sources to obtain extensive and accurate analysis.

Each report takes an average time of a month and a team of 4 industry analysts. The time may vary depending on the scope and data availability of the desired market report. The various parameters used in the market assessment are standardized in order to enhance the data accuracy.

Data Mining

The data is collected from several authenticated, reliable, paid and unpaid sources and is filtered depending on the scope & objective of the research. Our reports repository acts as an added advantage in this procedure. Data gathering from the raw material suppliers, distributors and the manufacturers is performed on a regular basis, this helps in the comprehensive understanding of the products value chain. Apart from the above mentioned sources the data is also collected from the industry consultants to ensure the objective of the study is in the right direction.

Market trends such as technological advancements, regulatory affairs, market dynamics (Drivers, Restraints, Opportunities and Challenges) are obtained from scientific journals, market related national & international associations and organizations.

Data Analysis

From the data that is collected depending on the scope & objective of the research the data is subjected for the analysis. The critical steps that we follow for the data analysis include:

  • Product Lifecycle Analysis
  • Competitor analysis
  • Risk analysis
  • Porters Analysis
  • PESTEL Analysis
  • SWOT Analysis

The data engineering is performed by the core industry experts considering both the Marketing Mix Modeling and the Demand Forecasting. The marketing mix modeling makes use of multiple-regression techniques to predict the optimal mix of marketing variables. Regression factor is based on a number of variables and how they relate to an outcome such as sales or profits.

Data Validation

The data validation is performed by the exhaustive primary research from the expert interviews. This includes telephonic interviews, focus groups, face to face interviews, and questionnaires to validate our research from all aspects. The industry experts we approach come from the leading firms, involved in the supply chain ranging from the suppliers, distributors to the manufacturers and consumers so as to ensure an unbiased analysis.

We are in touch with more than 15,000 industry experts with the right mix of consultants, CEO's, presidents, vice presidents, managers, experts from both supply side and demand side, executives and so on.

The data validation involves the primary research from the industry experts belonging to:

  • Leading Companies
  • Suppliers & Distributors
  • Manufacturers
  • Consumers
  • Industry/Strategic Consultants

Apart from the data validation the primary research also helps in performing the fill gap research, i.e. providing solutions for the unmet needs of the research which helps in enhancing the reports quality.

For more details about research methodology, kindly write to us at

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