Global Enterprise Data Management Market

Enterprise Data Management Market Size, Share, Growth Analysis, By Component(Software, Services), By Deployment Mode(On-premises, Cloud), By Organization Size(Small & Medium Enterprise (SME), Large Enterprise), By Industry Vertical(Healthcare and Life Sciences, Banking, Financial Services, And Insurance), By Region - Industry Forecast 2025-2032


Report ID: SQMIG45B2084 | Region: Global | Published Date: September, 2024
Pages: 165 | Tables: 87 | Figures: 76

Enterprise Data Management Market Dynamics

Enterprise Data Management Market Drivers

Data Explosion from Different Sources 

  • The amplifying data volume produced from different sources like IoT devices, social media, and e-commerce, transaction systems, and mobile applications has exponentially increased. Businesses are demanding efficient and reliable enterprise data management solutions to store, capture, and analyze this data correctly. Businesses are also handling semi-structured, structured, and unstructured data, increasing the importance of improved data management tactics for handling data. 

Data-Driven Decision Making to Fuel Market 

  • Enterprises are currently highly dependent on data analytics for strategic decisions. Reliable enterprise data management solutions assist in offering accessible and accurate data that allows better insights. Businesses can use data and identify industry trends, better understand consumer choices, enhance operations, and offer a major competitive edge. This benefit is notably impacting the growth of the market. 

Restraints 

Progressing Technology Landscape to Hamper Market Growth 

  • Speedy technological changes could hamper the growth of the market. The speedy pace of advancements in technologies is challenging for businesses to keep up to their pace and constantly adopt to newer versions. This could possibly offer obsolescence of the current enterprise data management solutions. Enterprises may also hesitate to leverage services from vendors due to issues regarding being locked into the technology, in case of changing market conditions. 

Issues with Data Quality 

  • Businesses are mostly experiencing issues with data quality like inaccuracies, inconsistencies, and incomplete data. This could hamper the effectiveness of initiatives for enterprise data management. Confirming superior quality data needs ongoing attention and resources, which could be a burden for teams who ae already managing multiple responsibilities. This may hinder adoption and ultimately, market growth.
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FAQs

Enterprise Data Management Market size was valued at USD 102.28 Billion in 2023 and is poised to grow from USD 112 Billion in 2024 to USD 231.47 Billion by 2032, growing at a CAGR of 9.5% during the forecast period (2025-2032).

The competitive landscape of the global enterprise data management market is differentiated by the presence of several leading and new entrants that are aimed at offering wide range solutions customized for diverse industry requirements. Leading players profiled in the market like IBM, Informatica, Oracle, SAP, and Microsoft are focusing on data analytics and governance, offering quality tools, and integration with their existing systems to distinguish themselves from others. Several niche companies and startups are entering in sector, expertise in certain domains like data lineage, data quality, and AI-based analytics. Players are also engaged in collaborations and integration and customization to expand their reach and improve service offerings. 'IBM (US) ', 'SAS Institute (US) ', 'Teradata (US) ', 'Oracle (US) ', 'SAP SE (Germany) ', 'Talend (France) ', 'Symantec (US) ', 'Cloudera (US) ', 'Ataccama (Canada) ', 'Informatica (US) ', 'Mindtree (India) ', 'Qlik (US) ', 'Enterworks (US) ', 'MapR (US) ', 'Goldensource (US) ', 'AWS (US) ', 'MuleSoft (US) ', 'Micro Focus (UK) ', 'Zaloni (US) ', 'Actian (US)'

The amplifying data volume produced from different sources like IoT devices, social media, and e-commerce, transaction systems, and mobile applications has exponentially increased. Businesses are demanding efficient and reliable enterprise data management solutions to store, capture, and analyze this data correctly. Businesses are also handling semi-structured, structured, and unstructured data, increasing the importance of improved data management tactics for handling data. 

Growing Demand for Cloud-Native Solutions: With growing inclination of businesses towards cloud, the demand for cloud-based data management solutions is considerably rising. These platforms offer flexibility, scalability, and cost-effectiveness enabling organizations to handle huge data quantities with no pressure of on-premises setup. The key benefits comprise easy integration with other applications, reduced IT overhead, and accessibility to be operated from any location. 

North America dominated the market in 2023  and is expected to lead over the forecast period owing to growing innovations and advancements, growing adoption of cloud-based solutions, and strict regulations for data protection. North America is home to numerous prominent innovators and technology companies that fuel the development of improved enterprise data management systems. Businesses operating in the region are also speedily implementing cloud computing for enhanced cloud-based data management solutions. Also, strict protocols for data protection like CCPA and GDPR have increased the focus on efficient and reliable data management practices. The key players profiled in the region include IBM, SAS Institute, Oracle, Informatica, Enterworks, Goldensource, Qlik, and more. 

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Global Enterprise Data Management Market

Report ID: SQMIG45B2084

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