Enterprise Data Management Statistics By Revenue, Regional And Market Segment Analysis

Introduction

Enterprise Data Management Statistics: The Enterprise Data Management (EDM) Market is growing quickly as businesses realize how important data is. With companies producing large amounts of data, there is a rising demand for tools and services that help manage, connect, and protect this data. These solutions are designed to make sure data is accurate, consistent, and easy to access.

Some of the main reasons driving this market are the need to follow rules and regulations, improve decision-making, and the increasing use of data-heavy technologies like AI and machine learning. While there are plenty of opportunities for growth in this market, companies also face challenges, such as protecting data privacy, connecting with older systems, and keeping data quality high.

We shall shed more light on Enterprise Data Management Statistics through this article.

Editor’s Choice

• The global enterprise data management market is expected to reach $110.53 billion in 2024, growing at an annual rate of 4% from 2025 to 2030.
• In 2023, around 43% of IT decision-makers said that data storage costs were one of their biggest challenges.
• By December 2022, relational database management systems (RDBMS) became the most popular type of database, making up 72% of the market.
• As of June 2024, Oracle was the leading RDBMS worldwide, with a score of 08.
• Global data creation, copying, and usage are expected to hit 149 zettabytes in 2024 and grow to over 394 zettabytes by 2028. However, only 2% of the data created in 2020 was kept into 2021.
• South Korea’s enterprise data management market is expected to grow at 20% annually from 2024 to 2032.
• Enterprise Data Management Statistics stated that 90% of IT professionals say their data management strategies are somewhat or fully in line with their AI goals.
• 65% of CTOs and IT professionals consider real-time data access to be crucial for AI success.
• Enterprise Data Management Statistics stated that 90% of IT professionals believe improving data literacy will positively affect AI projects, with 40% saying it will have a big impact.
• Nearly 87% of IT professionals are eager to implement AI, with 47% showing very strong interest. Additionally, 86% say they’ve made good progress in their AI efforts.
• 90% of IT professionals say their data management practices are aligned with AI objectives.

What are the Pillars of Enterprise Data Management?

The main parts of Enterprise Data Management (EDM) focus on the key areas that need attention to make EDM work well. These parts are:

(Source: theecmconsultant.com)

• Data Governance: This is about managing how data is available, usable, accurate, and safe within a company. It involves creating rules, procedures, and systems to handle data properly.
• Data Quality: This makes sure data is complete, accurate, consistent, useful, and up-to-date. Good data quality helps with making better decisions, improving operations, and providing reliable reports.
• Master Data Management (MDM): MDM creates one clear and accurate version of important data throughout its lifecycle. It stops the company from using different, conflicting versions of the same data in different areas.
• Data Integration: This means combining data from different sources or formats into a single, easy-to-understand view. It makes it easier to share information across different departments in the company.
• Data Security: This is about protecting data from being accessed without permission to keep it safe and private. It includes things like encryption, controlling who can see data, and safely storing and backing up data.
• Data Privacy: This refers to handling data according to laws, rules, and permissions. It makes sure data is collected fairly and legally and is protected from being misused.
• Data Architecture: This is the structure of how data is collected, stored, changed, shared, and used in systems.

All of these parts depend on each other and need to be managed well for EDM to be effective.

General Enterprise Data Management Statistics

• In 2024, the United States led the enterprise data management industry with 37% of the market share.
• The US EDM market was valued at $25.74 billion in 2023 and is expected to grow to about $92.40 billion by 2034, with an annual growth rate of 32% from 2024 to 2035.
• The enterprise data management market is expected to reach about $281.9 billion by 2033, up from $97.5 billion in 2023, growing at a 2% annual rate.
• In 2023, large businesses held the majority of the market, with more than 5% of the share.
• In 2023, the cloud-based segment was the leading part of the enterprise data management market, holding over 4% of the share due to its scalability and cost-effectiveness.
• In 2023, the software segment led the enterprise data management market, capturing over 9% of the market share.
• Enterprise Data Management Statistics stated that 37% of data analysts and IT pros say their data management is “very aligned” with AI development, but 6 in 10 still feel their companies aren’t fully ready for AI.

(Reference: scoop.market.us)

• 58% of IT professionals think using data quality and tracking tools is essential for maintaining reliable data.
• Enterprise Data Management Statistics stated that 65% of IT professionals say real-time data access is crucial to their organization’s AI success.
• IT professionals highlighted these strategies as important for success: raising awareness of data’s value (69%), improving collaboration across teams (66%), and building a data-driven culture (61%).
• The worldwide enterprise data management industry was valued at over $100.41 billion in 2024 and is predicted to grow from $112.45 billion in 2024 to around $350.52 billion by 2035, at an 11% annual growth rate.
• 68% of data professionals took more than 4 hours to identify data incidents, up from 62% in 2022.
• 50% of data professionals say that data engineering is mainly responsible for ensuring the quality of data.
• In 2023, North America had the biggest share of the global enterprise data management market, holding 37% of it.
• The Asia Pacific region is expected to be the fastest-growing market in the future.
• Looking at the components, the software segment made up the largest portion of the market, accounting for 77% in 2023.
• The services segment is expected to grow the fastest in the coming years.
• In terms of industries, the BFSI (Banking, Financial Services, and Insurance) sector had a large share of the market in 2023.
• The healthcare & life sciences industry is expected to grow at the highest rate in the coming years.
• For deployment types, the cloud segment made up more than 55% of the market share in 2023.
• In terms of company size, large enterprises held 68% of the market share in 2023.

Regional Enterprise Data Management Statistics

• In 2024, North America made up over 34% of the enterprise data management market. As businesses rely more on data for making decisions, keeping data accurate and setting up strong management rules have become top priorities.
• Companies are spending money on advanced tools to clean and check data, making sure their data stays trustworthy.
• They are also creating systems to assign clear roles and responsibilities for managing data and setting rules for how data should be handled, such as how it’s accessed, used, and kept.

(Source: grandviewresearch.com)

#1. US Enterprise Data Management Trends

(Reference: precedenceresearch.com)

• From 2025 to 2030, the US enterprise data management market is expected to grow a lot.
• Edge computing is becoming more important as US businesses want to process data closer to where it comes from, especially with more IoT devices.
• This approach reduces delays and saves bandwidth by processing and analyzing data at the source, which is vital for applications that need real-time information and actions.

#2. Europe Enterprise Data Management Trends

• In Europe, the enterprise data management market is set to grow by more than 11% per year from 2025 to 2030.
• Enterprise Data Management Statistics stated that as cybersecurity risks and privacy concerns grow, companies are focusing more on securing their data.
• Advanced security features in data management systems help protect important information and meet data protection laws.
• For example, in January 2024, Infotel, a major European data governance provider, teamed up with BMC, a global software company, to offer better security and software solutions to European customers.

#3. UK Enterprise Data Management Trends

• The enterprise data management market in the UK is expected to grow quickly in the next few years due to the use of advanced analytics and artificial intelligence (AI).
• Companies are investing in data management systems to meet strict regulations like GDPR.
• Cloud-based solutions are becoming more popular, allowing businesses to access data remotely and perform real-time analysis.
• As organizations focus more on data-driven decisions, they are combining EDM with business intelligence tools to improve operations and get better insights.

#4. Germany Enterprise Data Management Trends

• Germany had a large share of the enterprise data management market in 2024.
• The market is concentrating on data control and security because of the need to follow EU data protection rules.
• Many businesses are investing in both on-site and cloud-based solutions to maintain full control and trustworthiness of their data.
• With Industry 4.0, manufacturers are turning to EDM solutions to handle large amounts of data from IoT devices, making data management more automated and efficient.

#5. Asia Pacific Enterprise Data Management Trends

(Source: grandviewresearch.com)

• In the Asia Pacific region, the enterprise data management market is growing rapidly at a rate of over 14% per year from 2025 to 2030.
• Cloud-based data management solutions are helping businesses reduce costs and boost efficiency.
• With the flexibility of the cloud, companies can adjust their data infrastructure to meet their needs and only pay for what they use.
• Cloud platforms also automate many data tasks, reducing the workload for IT teams and improving productivity.

#6. China Enterprise Data Management Trends

(Source: grandviewresearch.com)

• China’s enterprise data management market had a large share in 2024, thanks to rapid digital growth and government support for technology.
• Businesses are increasingly using big data and cloud computing to stay ahead of the competition.
• However, data privacy and strict laws are pushing companies to improve how they manage their data.
• The use of AI and machine learning in EDM solutions is also growing, helping businesses get useful insights from big datasets.

#7. Japan Enterprise Data Management Trends

• Japan’s enterprise data management market had a strong share in 2024, driven by innovation and technology use.
• More companies are using AI and machine learning to improve data analysis and make real-time decisions.
• There is also a focus on combining EDM with security measures to protect sensitive data, especially in industries like finance and healthcare.
• Hybrid cloud solutions are becoming more popular, allowing businesses to balance control and flexibility in their data management.

#8. India Enterprise Data Management Trends

• In India, the enterprise data management market is growing fast as digital projects spread across industries.
• Cloud-based solutions are becoming more common, offering businesses a cost-effective and flexible way to manage their data.
• Companies are also paying more attention to data quality and management to ensure they get valuable insights and follow changing laws.

Various Solutions Adopted By Enterprise for an Effective Enterprise Data Management

(Reference: scoop.market.us)

• Companies are using different solutions to improve how they manage their data.
• The most popular solution, used by 92% of businesses, is data governance, which helps manage data effectively.
• Next, data stewardship and data quality management are used by 67% of businesses, focusing on keeping data accurate and reliable.
• 67% of companies also use master reference data management to make sure their data stays consistent.
• Tools for data warehousing and business intelligence are used by 46% of companies to help with analyzing and reporting data.
• To make data easier for non-technical people to use, 40% of companies use data preparation tools for business users, and 23% use data discovery
• Other tools, like data warehouse automation (19%), data lakes (17%), and data integration (15%), help companies process and store data more easily.
• Some companies are also using holistic data platforms and self-service analytics (both at 10%) to give users more control over data and analysis.
• Less common tools, such as data virtualization, data storage/provisioning, and advanced analytics (including machine learning and AI), are used by around 8% to 6% of companies.
• Finally, very specialized tools like query engines, data pipelining, cloud integration, and data fabric are used by 4% or fewer businesses, showing that these are newer or niche technologies in the field.

Enterprise Data Management Market Segment Analysis Statistics

By Deployment Type

(Source: alliedmarketresearch.com)

• In 2023, the cloud-based segment led the Enterprise Data Management market with 51% of the share.
• This is because many customers prefer cloud solutions for their flexibility, lower costs, and easy access.
• Companies are moving from on-premises systems to the cloud to manage large data volumes and run real-time analyses.
• Enterprise Data Management Statistics stated that big players like Microsoft, Amazon Web Services (AWS), and Google Cloud are driving innovation in this area.
• For example, in 2023, AWS launched an updated version of its Data Exchange feature to help organizations share information more easily.
• The on-premises segment is growing the fastest, with an 8% CAGR. This growth is driven by industries like banking, healthcare, and government, where organizations need secure and customized data solutions to meet strict privacy and legal rules.
• On-premises solutions also reduce delays, offer better control over sensitive data, and connect with older systems.
• Leading companies in this field are IBM, Oracle, and SAP.
• The global data management market was worth $73.1 billion in 2021 and is expected to grow to $150.6 billion by 2027, with on-premises solutions playing an important role in meeting legal and performance standards.

By Enterprises Size

(Source: alliedmarketresearch.com)

• In 2023, large enterprises made up 55% of the total revenue in the Enterprise Data Management (EDM) market.
• This is because these organizations invest heavily in data management to improve efficiency, secure their data, and make quick decisions.
• Enterprise Data Management Statistics stated that companies with over 500 employees are the biggest users of advanced data tools because they handle large operations, complex data, and many departments.
• The need for integrated tools from companies like Oracle, SAP, and Microsoft is mainly driven by the demand for automation, AI, and real-time analytics.
• The small and medium-sized enterprises (SMEs) segment is growing quickly in the EDM market and is expected to continue expanding at a fast rate.
• This growth is due to the increasing use of cloud-based data management solutions in fast-growing markets like China and India.
• SMEs are adopting digital solutions quickly to streamline their operations, lower costs, and improve decision-making.
• They prefer cloud technology for its ability to scale, save money, and offer flexibility, allowing them to manage data efficiently without having to invest heavily in expensive on-premises systems.

Top 10 Leading Companies in the (EDM) Industry By Revenue

(Reference: scoop.market.us)

#1. Microsoft Revenue [US $143 Billion]

• Microsoft is a major global tech company offering software, personal computers, and services.
• One of its well-known tools, Microsoft Access, helps businesses store and manage data for things like reporting, analysis, and reference.

#2. IBM Revenue [US $73.6 Billion]

• IBM, based in the US, is a big technology company that provides computer hardware, software, and cloud computing services using AI.
• One of its products, IBM Db2, is used to manage and organize both structured and unstructured data from different sources, either on the cloud or on-site.

#3. Google Revenue [US $56.7 Billion]

• Google is a leading American tech company offering internet-related services, software, hardware, and cloud computing.
• Google Cloud offers cloud storage and tools for secure data management and analysis.

#4. Amazon Revenue [US $386.0 Billion]

• Amazon is one of the world’s biggest tech companies, providing services in e-commerce, cloud computing, and streaming.
• Amazon Web Services (AWS) gives businesses cloud solutions like Amazon Relational Database Service, which is affordable and easy to use for storing and managing data.

#5. Oracle Revenue [US $39.01 Billion]

• Oracle is a well-known American company offering database software and cloud-based solutions.
• Their Enterprise Data Management Cloud helps businesses manage data from multiple systems in one location, which simplifies reporting and operational tasks.

#6. SAP SE Revenue [US $24.4 Billion]

• SAP SE, based in Germany, makes software to help businesses manage operations and customer relations.
• Its SAP HANA platform is used to manage databases, develop applications, and analyze data.

#7. Cloudera, Inc. Revenue [US $869 Million]

• Cloudera is an American company focused on data analytics and machine learning.
• Their Cloudera Data Platform helps companies manage and secure data while ensuring top-notch data security and control.

#8. Commvault Revenue [US $507.2 Million]

• Commvault is a company that offers software for protecting and managing data.
• Their Commvault Command Center™ is an easy-to-use platform that helps businesses protect and organize their data.

#9. Teradata Corporation Revenue [US $371 Million]

• Teradata provides software and services related to data analytics and databases.
• They help businesses manage data with enterprise data management solutions and analytics that allow real-time access to data from different systems.

#10. Talend Revenue [US $288.7 Million]

• Talend is a California-based company offering cloud tools for data integration.
• Their Talend Data Fabric is a platform used to manage data and ensure data quality and governance.

Conclusion

In conclusion, Enterprise Data Management (EDM) is a crucial system that helps businesses handle their data in the best way possible. It includes practices like data governance, ensuring quality, protecting data, and making sure different data systems work well together.

This ensures the data is accurate, easy to access, and secure. Using EDM allows businesses to make smarter decisions, run more efficiently, and stay competitive in a world driven by data. While there are challenges like data silos and the difficulty of connecting different systems, using EDM practices is key to making the most of data.

It helps businesses keep their data relevant and useful, increasing its value as companies continue to grow and adapt in the digital world. We have shed enough light on Enterprise Data Management Statistics through this article.