Data Governance Market Size Expected to Grow at a CAGR over 15.4% from 2022 to 2030

Data Governance Market Size Expected to Grow at a CAGR over 15.4% from 2022 to 2030

MRFR Press Release/- Market Research Future has published a Half-Cooked Research Report on the Global Data Governance Market.


Market Synopsis


As per the analysis by the Market Research Future Reports (MRFR), the global data governance market is estimated to value USD 6.81 Billion, with a CAGR of 15.4% during the forecast period from 2022 to 2030. The outbreak of COVID-19 has affected the market in several ways. The situation has led the companies to restructure their strategies.


The demand for data governance is experiencing a robust expansion due to the requirement of managed service in every technological domain. The increasing demand to assure high data quality derivations throughout the data life cycle of an organization has also played an essential role in expanding the global data governance market 2030. The requirement to meet the regulations and agreements has influenced the market of data governance. The organizations require the improvement and endure the strategic risk management. These requirements aid in the expansion of the market at a global level. However, the concern with respect to the quality is a major obstructing factor of the data governance market. The data governance needs the diverse composition of monitoring policies and data address validation, which are the biggest hurdle of the data governance solution and services.


Market Segmentation


The global data governance market can be segregated on the basis of application, industry, component, deployment, and region.


On the basis of application, the global data governance market can be segregated into product and process management, sales and marketing, risk management, and others.


On the basis of industry, the global data governance market can be segregated into healthcare, government, retail, I.T. & Telecom, financial services, and others.


On the basis of components, the global data governance market can be segregated into services and solutions.


On the basis of deployment, the global data governance market can be segregated into on-cloud and on-premise.


On the basis of region, the global data governance market can be segregated into Asia-Pacific, Europe, North America, and the Rest of the World (Row).


Regional Analysis


On the basis of geography, the APAC, Europe, North America, and the RoW has been has been studied. As per the analysis, North America holds the largest market share and dominates the data governance market during the forecast period. The region is booming due to the presence of the strongest nation of the world, the U.S. Owing to the quick adoption of developing technologies, large-scale investment in cloud-based solutions, a large number of players are present and make substantial contributions in the growth. On the other hand, the Asia-Pacific market is likely to experience a robust expansion and is predicted to be the most lucrative region for the data governance market. This can be accredited to the increasing requirement to follow the rules and regulations interpreted by the monitoring bodies. The European data governance market is a propelling at a fast pace and has been estimated to maintain its position in the market. Owing to the participation of the operations and I.T. market, the market is likely to expand considerably during the forecast period


Key Players


The most significant players of global data governance market are  Symantec Corporation(U.S.), Data3Sixty Inc.(U.S.), Alation Inc.(U.S.),  Reltio Inc. (U.S.), Magnitude Software, Inc.(U.S.), Global Data Excellence (Switzerland),  Informatica (U.S.), Alfresco Software Inc.(U.S.), SAP SE(Germany),  International Business Machines(IBM)(U.S.) and others.


Industry News


Immuta, a U.K. based automated data governance company, announced a business and technology partnership with the U.S. originated cloud-based data warehousing startup. The partnership will allow joint customers to share protected data with automated privacy and, at the same time adhering to data privacy regulations and business rules.

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