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.
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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 |
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| Regions Covered |
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| Key Countries Profiled |
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| Key Companies Profiled |
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| 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
