The Growing Need to Manage Data More Effectively is Driving the Growth of Master Data Management Market
Globally, the master data management market is expected to grow with a CAGR of 15.5% during the forecast period from 2023 to 2030, starting from US$ 13.59 Bn in 2021. The market is driven by the growing need among the organizations to manage their master data more effectively. Master data is defined as the critical and confidential data for enterprises generally related to the customers, suppliers, financials, and products. As the digitalization across the enterprises is increasing very rapidly and the sources of data generation are also growing in abundance, the enterprises are finding it difficult to cop up with this explosion of data with their traditional data management system. This is encouraging the enterprises to move towards more data agile infrastructure and driving the demand for master data management solutions.
The growing adoption of IoT sensor along with the cloud computing platform is also acting as a major driver for the growth of the market. Moreover, the integration of intelligent algorithms into the master data management solution is augmenting the market growth. However, reluctance of enterprises to move towards new master data management solutions is hindering the market growth. Furthermore, the low awareness about the solutions among the enterprises is also acting as a major restraint in the growth of the market.
Cloud Deployment Model is Estimated to Grow Significantly During the Forecast Period
The master data management market is segmented on the basis of deployment into on-premise, and cloud deployment model. On-Premise deployment model accounted for more than 70% share in the revenue in 2018. The growth of the market is attributed to the robust security offered by the on-premise model. On the other hand, the cloud deployment model is estimated to grow significantly during the forecast period. The market is driven by the cost effective nature of the cloud deployment model. Moreover, the scalability and flexibility offered by the model also serves as a major driver for the growth of the market.
North America is Leading the Master Data Management Market
North America accounted for more than 40% share in the master data management market in 2020. The growth of the market is credited to the wide scale adoption of the cloud computing technology across the region. Increasing digitalization across the enterprises is also augmenting the demand for the master data management solution in the region. Additionally, the presence of major market players such as IBM and Oracle in the region is also acting as a major driver for the growth of the market.
The key players in the master data management market are EnterWorks, Informatica, IBM Corporation, Oracle Corporation, Reltio, Profisee Group, Riversand, SAS Institute, SAP SE, Semarchy, SyncForce, Stibo Systems, Talend, TIBCO Software and Teradata.
Historical & Forecast Period
This study report represents analysis of each segment from 2022 to 2032 considering 2023 as the base year. Compounded Annual Growth Rate (CAGR) for each of the respective segments estimated for the forecast period of 2024 to 2032.
The current report comprises of quantitative market estimations for each micro market for every geographical region and qualitative market analysis such as micro and macro environment analysis, market trends, competitive intelligence, segment analysis, porters five force model, top winning strategies, top investment markets, emerging trends and technological analysis, case studies, strategic conclusions and recommendations and other key market insights.
Research Methodology
The complete research study was conducted in three phases, namely: secondary research, primary research, and expert panel review. key data point that enables the estimation of Master Data Management market are as follows:
Market forecast was performed through proprietary software that analyzes various qualitative and quantitative factors. Growth rate and CAGR were estimated through intensive secondary and primary research. Data triangulation across various data points provides accuracy across various analyzed market segments in the report. Application of both top down and bottom-up approach for validation of market estimation assures logical, methodical and mathematical consistency of the quantitative data.
ATTRIBUTE | DETAILS |
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Research Period | 2022-2032 |
Base Year | 2023 |
Forecast Period | 2024-2032 |
Historical Year | 2022 |
Unit | USD Million |
Segmentation | |
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Data
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Deployment
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Application
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Region Segment (2022-2032; US$ Million)
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Key questions answered in this report