The global enterprise metadata management market is expected to grow at a 14.8% CAGR during the forecast period. In 2023, the market is currently valued at US$ 2,626.9 million. The enterprise metadata management market is expected to reach US$ 10,474.3 million by 2033. Future Market Insights specialists have observed a historical CAGR of 12.7% from 2018 to 2022.
The growing necessity of data governance across businesses across numerous industry verticals drives the worldwide corporate metadata management market. Metadata is an organized collection of information that describes, explains, and locates another information collection. Metadata is also known as data about data and information about information.
For example, in the library administration context, metadata catalogs library resources. Enterprise metadata management is a data management method used to manage an organization's information.
Enterprise metadata management is a software solution that offers the essential information to improve the administration and maintenance of data assets' technical descriptions. Enterprise metadata management improves an organization's capacity to deal with risk, boost IT productivity, and satisfy regulatory obligations.
| Data Points | Key Statistics |
|---|---|
| Expected Market Value (2023) | US$ 2,626.9 million |
| Anticipated Forecast Value (2033) | US$ 10,474.3 million |
| Projected Growth Rate (2023 to 2033) | 14.8% CAGR |
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The global demand for enterprise metadata management is projected to increase at a CAGR of 19.4% during the forecast period between 2023 and 2033, reaching a total of US$ 49558.2 million in 2033, according to a report from Future Market Insights (FMI). From 2018 to 2021, sales witnessed significant growth, registering a CAGR of 18.9%.
With the increasing use of technologies such as blockchain and IoT, the deployment of metadata management is predicted to see a new trend by opening up new avenues for applications. The demand for business metadata management is likely to rise since more than 90% of new data collected will be unstructured, data integrators will find it hard to acquire or turn into information. Unstructured data will drive the growth of the corporate metadata management market during the projected period.
To deal with the quintillion bytes of data produced each day, the automation and artificial sectors will play a critical role in the future of metadata management. Furthermore, as the number of data breaches increases internationally, governments worldwide are obliged to implement increasingly strict data security and data management policies. This propels the market for business metadata management tools and services even further. Potential corporate metadata management adopters will encounter difficulty in terms of producing ROI.
Growing Relevance of Data Governance and Data Standards to Boost Market Growth
The growing relevance of data governance and data standards by companies across many industries, along with expanding business data and rising data integration and content management difficulties, is driving the expansion of the worldwide enterprise metadata management market.
The growing demand for organizations across multiple sectors to reduce risk and increase confidence in enterprise data assets, as well as a growing emphasis on collaboration and social networking capabilities, promotes the growth of the worldwide enterprise metadata management market.
Expansion of data warehouses, data mining, and data pooling activities, as well as an increasing emphasis on building centralized data control to boost IT efficiency across organizational environments, are further driving the growth of the worldwide enterprise metadata management market.
Principal Consultant
Unawareness of the Use of Metadata Management Solution is likely to Hamper Market Growth
A dearth of knowledge of the potential benefits of business metadata management solutions, as well as technological hurdles in metadata storage and data cross-linking, have been recognized as significant limitations to the worldwide enterprise metadata management market's growth.
Widespread Adoption of Cloud-Based and On-Premises Data Management Creating Opportunities
Because of its early use of analytics technologies by consumers and enterprises, North America dominates the worldwide corporate metadata management industry. In most industries, the area has seen widespread adoption of cloud-based and on-premises data management and governance systems.
Investments and revenues in the Big Data and analytics industries are increasing, resulting in a robust market for corporate metadata management in the area. Banking, telecommunications, media and entertainment, healthcare, retail, federal/central government, and professional services are the five prospective and leading industries in North America that are likely to make the most investments in Big Data and analytics solutions. Moreover, factors such as strong penetration in the healthcare and life sciences, retail and e-commerce, and BFSI verticals are likely to boost market growth.
Furthermore, the amount of data created from different sources is rising due to the increased use of smart devices and the region's expanding digitalization tendencies, which are driving the demand for the development of data and metadata management products and services.
The region's exponential surge in data proliferation is prompting businesses to use metadata management systems. Thus, due to the aforementioned reasons, North America is expected to possess 35.4% market share in 2023.
The ESS Metadata Reporting Standards are Favoring Market Growth
During the projected period 2023 to 2033, the Europe region is predicted to develop fast at a CAGR of 19.2%. The European Statistical System (ESS) reference metadata reporting standards provide a set of international standards for transmitting statistical data between organizations.
This is the primary factor predicted to fuel growth in the enterprise metadata management market in Europe during the projected period. Europe is expected to hold 23.7% of the market share for the enterprise metadata management market in 2023.
Ongoing Adaptation of Business Intelligence and Analytics Solutions Fuelling Rapid Adoption
Due to rising enterprise and ongoing adaptation of business intelligence and analytics solutions by companies across various sectors, Asia-Pacific is considered the fastest-growing network forensics market in terms of revenue. Thus, Asia Pacific is expected to procure a 20% market share for the enterprise metadata management market in 2023.
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Because of the expanding corporate data and consumer important information in this sector, the Banking, Financial Services, and Insurance (BFSI) industry vertical is predicted to have a dominant market share during the projection period.
Furthermore, rising client interactions outside of the branch across numerous channels such as online, chat, mobile, and social media are likely to drive the usage of enterprise metadata management market solutions. The segment is expected to grow at a CAGR of 19% in the enterprise metadata management market in the sales indicator period 2023 to 2033.
The software as a service (SaaS) deployment segment is predicted to be more popular than on-premises deployment, and this trend is expected to continue during the projection period. Large companies prefer software as a service for a variety of reasons, including lower operational expenses, easier implementation, and more scalability.
During the projection period, software as service enterprise metadata management systems is predicted to expand at the fastest CAGR. Large organizations are leading the way in terms of adoption, and the sector is likely to maintain its dominant market position over the projection period.
With a growing emphasis on enhancing the customer experience, the Small and Medium-sized Enterprises (SMEs) category is expected to develop at the fastest rate throughout the projected period.
Every year, thousands of new firms are launched, with the potential to disrupt the data management industry. FMI has analyzed 3 global data management startups and schleps to give you a head start on emerging technologies and startups that will impact data management in 2022. Meet 3 of the most promising businesses to keep an eye on!
Key companies in the worldwide enterprise metadata management industry include Oracle, Informatica LLC., International Business Machines Corporation, Teradata, Collibra, Adaptive, Inc., Data Advantage Group, Cambridge Semantics, Talend, and MuleSoft, Inc.
Recent Market Developments in the Enterprise Metadata Management Industry:
| Report Attribute | Details |
|---|---|
| Market Value in 2023 | US$ 2,626.9 million |
| Market Value in 2033 | US$ 10,474.3 million |
| Growth Rate | CAGR of 14.8% from 2023 to 2033 |
| Base Year for Estimation | 2023 |
| Historical Data | 2018 to 2022 |
| Forecast Period | 2023 to 2033 |
| Quantitative Units | Revenue in US$ million and CAGR from 2023 to 2033 |
| Report Coverage | Revenue Forecast, Volume Forecast, Company Ranking, Competitive Landscape, Growth Factors, Trends and Pricing Analysis |
| Segments Covered |
|
| Regions Covered |
|
| Key Countries Profiled |
|
| Key Companies Profiled |
|
| Customization | Available Upon Request |
The market is valued at US$ 2,626.9 million In 2023.
The market is predicted to experience a 14.8% CAGR through 2033.
Increasing relevance of data governance drives market growth.
BFSI is anticipated to expand at a 19% CAGR through 2033.
Oracle, Informatica LLC., and International Business Machines Corporation are the top market players.
1. Executive Summary
1.1. Global Market Outlook
1.2. Demand-side Trends
1.3. Supply-side Trends
1.4. Technology Roadmap Analysis
1.5. Analysis and Recommendations
2. Market Overview
2.1. Market Coverage / Taxonomy
2.2. Market Definition / Scope / Limitations
3. Market Background
3.1. Market Dynamics
3.1.1. Drivers
3.1.2. Restraints
3.1.3. Opportunity
3.1.4. Trends
3.2. Scenario Forecast
3.2.1. Demand in Optimistic Scenario
3.2.2. Demand in Likely Scenario
3.2.3. Demand in Conservative Scenario
3.3. Opportunity Map Analysis
3.4. Investment Feasibility Matrix
3.5. PESTLE and Porter’s Analysis
3.6. Regulatory Landscape
3.6.1. By Key Regions
3.6.2. By Key Countries
3.7. Regional Parent Market Outlook
4. Global Market Analysis 2018 to 2022 and Forecast, 2023 to 2033
4.1. Historical Market Size Value (US$ Million) Analysis, 2018 to 2022
4.2. Current and Future Market Size Value (US$ Million) Projections, 2023 to 2033
4.2.1. Y-o-Y Growth Trend Analysis
4.2.2. Absolute $ Opportunity Analysis
5. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Deployment Type
5.1. Introduction / Key Findings
5.2. Historical Market Size Value (US$ Million) Analysis By Deployment Type, 2018 to 2022
5.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Deployment Type, 2023 to 2033
5.3.1. On-Premise
5.3.2. Software as a Service (SaaS)
5.4. Y-o-Y Growth Trend Analysis By Deployment Type, 2018 to 2022
5.5. Absolute $ Opportunity Analysis By Deployment Type, 2023 to 2033
6. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Vertical
6.1. Introduction / Key Findings
6.2. Historical Market Size Value (US$ Million) Analysis By Vertical, 2018 to 2022
6.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Vertical, 2023 to 2033
6.3.1. BFSI
6.3.2. Healthcare & Medical
6.3.3. IT & Telecommunications
6.3.4. Media & Entertainment
6.3.5. Government
6.3.6. E-Commerce & Retail
6.3.7. Logistics
6.3.8. Pharmaceutical
6.3.9. Manufacturing
6.3.10. Others
6.4. Y-o-Y Growth Trend Analysis By Vertical, 2018 to 2022
6.5. Absolute $ Opportunity Analysis By Vertical, 2023 to 2033
7. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Region
7.1. Introduction
7.2. Historical Market Size Value (US$ Million) Analysis By Region, 2018 to 2022
7.3. Current Market Size Value (US$ Million) Analysis and Forecast By Region, 2023 to 2033
7.3.1. North America
7.3.2. Latin America
7.3.3. Western Europe
7.3.4. Eastern Europe
7.3.5. South Asia and Pacific
7.3.6. East Asia
7.3.7. Middle East and Africa
7.4. Market Attractiveness Analysis By Region
8. North America Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
8.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
8.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
8.2.1. By Country
8.2.1.1. USA
8.2.1.2. Canada
8.2.2. By Deployment Type
8.2.3. By Vertical
8.3. Market Attractiveness Analysis
8.3.1. By Country
8.3.2. By Deployment Type
8.3.3. By Vertical
8.4. Key Takeaways
9. Latin America Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
9.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
9.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
9.2.1. By Country
9.2.1.1. Brazil
9.2.1.2. Mexico
9.2.1.3. Rest of Latin America
9.2.2. By Deployment Type
9.2.3. By Vertical
9.3. Market Attractiveness Analysis
9.3.1. By Country
9.3.2. By Deployment Type
9.3.3. By Vertical
9.4. Key Takeaways
10. Western Europe Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
10.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
10.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
10.2.1. By Country
10.2.1.1. Germany
10.2.1.2. UK
10.2.1.3. France
10.2.1.4. Spain
10.2.1.5. Italy
10.2.1.6. Rest of Western Europe
10.2.2. By Deployment Type
10.2.3. By Vertical
10.3. Market Attractiveness Analysis
10.3.1. By Country
10.3.2. By Deployment Type
10.3.3. By Vertical
10.4. Key Takeaways
11. Eastern Europe Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
11.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
11.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
11.2.1. By Country
11.2.1.1. Poland
11.2.1.2. Russia
11.2.1.3. Czech Republic
11.2.1.4. Romania
11.2.1.5. Rest of Eastern Europe
11.2.2. By Deployment Type
11.2.3. By Vertical
11.3. Market Attractiveness Analysis
11.3.1. By Country
11.3.2. By Deployment Type
11.3.3. By Vertical
11.4. Key Takeaways
12. South Asia and Pacific Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
12.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
12.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
12.2.1. By Country
12.2.1.1. India
12.2.1.2. Bangladesh
12.2.1.3. Australia
12.2.1.4. New Zealand
12.2.1.5. Rest of South Asia and Pacific
12.2.2. By Deployment Type
12.2.3. By Vertical
12.3. Market Attractiveness Analysis
12.3.1. By Country
12.3.2. By Deployment Type
12.3.3. By Vertical
12.4. Key Takeaways
13. East Asia Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
13.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
13.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
13.2.1. By Country
13.2.1.1. China
13.2.1.2. Japan
13.2.1.3. South Korea
13.2.2. By Deployment Type
13.2.3. By Vertical
13.3. Market Attractiveness Analysis
13.3.1. By Country
13.3.2. By Deployment Type
13.3.3. By Vertical
13.4. Key Takeaways
14. Middle East and Africa Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
14.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
14.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
14.2.1. By Country
14.2.1.1. GCC Countries
14.2.1.2. South Africa
14.2.1.3. Israel
14.2.1.4. Rest of MEA
14.2.2. By Deployment Type
14.2.3. By Vertical
14.3. Market Attractiveness Analysis
14.3.1. By Country
14.3.2. By Deployment Type
14.3.3. By Vertical
14.4. Key Takeaways
15. Key Countries Market Analysis
15.1. USA
15.1.1. Pricing Analysis
15.1.2. Market Share Analysis, 2022
15.1.2.1. By Deployment Type
15.1.2.2. By Vertical
15.2. Canada
15.2.1. Pricing Analysis
15.2.2. Market Share Analysis, 2022
15.2.2.1. By Deployment Type
15.2.2.2. By Vertical
15.3. Brazil
15.3.1. Pricing Analysis
15.3.2. Market Share Analysis, 2022
15.3.2.1. By Deployment Type
15.3.2.2. By Vertical
15.4. Mexico
15.4.1. Pricing Analysis
15.4.2. Market Share Analysis, 2022
15.4.2.1. By Deployment Type
15.4.2.2. By Vertical
15.5. Germany
15.5.1. Pricing Analysis
15.5.2. Market Share Analysis, 2022
15.5.2.1. By Deployment Type
15.5.2.2. By Vertical
15.6. UK
15.6.1. Pricing Analysis
15.6.2. Market Share Analysis, 2022
15.6.2.1. By Deployment Type
15.6.2.2. By Vertical
15.7. France
15.7.1. Pricing Analysis
15.7.2. Market Share Analysis, 2022
15.7.2.1. By Deployment Type
15.7.2.2. By Vertical
15.8. Spain
15.8.1. Pricing Analysis
15.8.2. Market Share Analysis, 2022
15.8.2.1. By Deployment Type
15.8.2.2. By Vertical
15.9. Italy
15.9.1. Pricing Analysis
15.9.2. Market Share Analysis, 2022
15.9.2.1. By Deployment Type
15.9.2.2. By Vertical
15.10. Poland
15.10.1. Pricing Analysis
15.10.2. Market Share Analysis, 2022
15.10.2.1. By Deployment Type
15.10.2.2. By Vertical
15.11. Russia
15.11.1. Pricing Analysis
15.11.2. Market Share Analysis, 2022
15.11.2.1. By Deployment Type
15.11.2.2. By Vertical
15.12. Czech Republic
15.12.1. Pricing Analysis
15.12.2. Market Share Analysis, 2022
15.12.2.1. By Deployment Type
15.12.2.2. By Vertical
15.13. Romania
15.13.1. Pricing Analysis
15.13.2. Market Share Analysis, 2022
15.13.2.1. By Deployment Type
15.13.2.2. By Vertical
15.14. India
15.14.1. Pricing Analysis
15.14.2. Market Share Analysis, 2022
15.14.2.1. By Deployment Type
15.14.2.2. By Vertical
15.15. Bangladesh
15.15.1. Pricing Analysis
15.15.2. Market Share Analysis, 2022
15.15.2.1. By Deployment Type
15.15.2.2. By Vertical
15.16. Australia
15.16.1. Pricing Analysis
15.16.2. Market Share Analysis, 2022
15.16.2.1. By Deployment Type
15.16.2.2. By Vertical
15.17. New Zealand
15.17.1. Pricing Analysis
15.17.2. Market Share Analysis, 2022
15.17.2.1. By Deployment Type
15.17.2.2. By Vertical
15.18. China
15.18.1. Pricing Analysis
15.18.2. Market Share Analysis, 2022
15.18.2.1. By Deployment Type
15.18.2.2. By Vertical
15.19. Japan
15.19.1. Pricing Analysis
15.19.2. Market Share Analysis, 2022
15.19.2.1. By Deployment Type
15.19.2.2. By Vertical
15.20. South Korea
15.20.1. Pricing Analysis
15.20.2. Market Share Analysis, 2022
15.20.2.1. By Deployment Type
15.20.2.2. By Vertical
15.21. GCC Countries
15.21.1. Pricing Analysis
15.21.2. Market Share Analysis, 2022
15.21.2.1. By Deployment Type
15.21.2.2. By Vertical
15.22. South Africa
15.22.1. Pricing Analysis
15.22.2. Market Share Analysis, 2022
15.22.2.1. By Deployment Type
15.22.2.2. By Vertical
15.23. Israel
15.23.1. Pricing Analysis
15.23.2. Market Share Analysis, 2022
15.23.2.1. By Deployment Type
15.23.2.2. By Vertical
16. Market Structure Analysis
16.1. Competition Dashboard
16.2. Competition Benchmarking
16.3. Market Share Analysis of Top Players
16.3.1. By Regional
16.3.2. By Deployment Type
16.3.3. By Vertical
17. Competition Analysis
17.1. Competition Deep Dive
17.1.1. Oracle
17.1.1.1. Overview
17.1.1.2. Product Portfolio
17.1.1.3. Profitability by Market Segments
17.1.1.4. Sales Footprint
17.1.1.5. Strategy Overview
17.1.1.5.1. Marketing Strategy
17.1.2. Informatica LLC.
17.1.2.1. Overview
17.1.2.2. Product Portfolio
17.1.2.3. Profitability by Market Segments
17.1.2.4. Sales Footprint
17.1.2.5. Strategy Overview
17.1.2.5.1. Marketing Strategy
17.1.3. International Business Machines Corporation
17.1.3.1. Overview
17.1.3.2. Product Portfolio
17.1.3.3. Profitability by Market Segments
17.1.3.4. Sales Footprint
17.1.3.5. Strategy Overview
17.1.3.5.1. Marketing Strategy
17.1.4. Teradata
17.1.4.1. Overview
17.1.4.2. Product Portfolio
17.1.4.3. Profitability by Market Segments
17.1.4.4. Sales Footprint
17.1.4.5. Strategy Overview
17.1.4.5.1. Marketing Strategy
17.1.5. Collibra
17.1.5.1. Overview
17.1.5.2. Product Portfolio
17.1.5.3. Profitability by Market Segments
17.1.5.4. Sales Footprint
17.1.5.5. Strategy Overview
17.1.5.5.1. Marketing Strategy
17.1.6. Adaptive, Inc.
17.1.6.1. Overview
17.1.6.2. Product Portfolio
17.1.6.3. Profitability by Market Segments
17.1.6.4. Sales Footprint
17.1.6.5. Strategy Overview
17.1.6.5.1. Marketing Strategy
17.1.7. Data Advantage Group
17.1.7.1. Overview
17.1.7.2. Product Portfolio
17.1.7.3. Profitability by Market Segments
17.1.7.4. Sales Footprint
17.1.7.5. Strategy Overview
17.1.7.5.1. Marketing Strategy
17.1.8. Cambridge Semantics
17.1.8.1. Overview
17.1.8.2. Product Portfolio
17.1.8.3. Profitability by Market Segments
17.1.8.4. Sales Footprint
17.1.8.5. Strategy Overview
17.1.8.5.1. Marketing Strategy
17.1.9. Talend
17.1.9.1. Overview
17.1.9.2. Product Portfolio
17.1.9.3. Profitability by Market Segments
17.1.9.4. Sales Footprint
17.1.9.5. Strategy Overview
17.1.9.5.1. Marketing Strategy
17.1.10. MuleSoft, Inc.
17.1.10.1. Overview
17.1.10.2. Product Portfolio
17.1.10.3. Profitability by Market Segments
17.1.10.4. Sales Footprint
17.1.10.5. Strategy Overview
17.1.10.5.1. Marketing Strategy
18. Assumptions & Acronyms Used
19. Research Methodology
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Enterprise Metadata Management Market
