Press release
Adverse effect due to COVID-19 on Global Enterprise Data Management Market
Post COVID-19 Impact on Enterprise Data Management MarketWith the emergence of the COVID-19 crisis, the world is fighting a health pandemic as well as an economic emergency, almost impacting trillions of dollars of revenues.
Research Dive' group of skilled analysts provide a solution to help the companies to survive and sustain in this economic crisis. We support companies to make informed decisions based on our findings resulting from the comprehensive study by our qualified team of experts.
Our study helps to acquire the following:
o Long-term and short-term impact of Covid-19 on the market
o Cascading impact of Covid-19 on Enterprise Data Management Market, due to the impact on its extended ecosystem
o Understanding the market behaviour Pre- and Post-COVID-19 pandemic
o Strategy suggestions to overcome the negative impact or turn the positive impact into an opportunity
We'll help you fight this crisis through our business intelligence solutions.
Connect with Our Analyst to Contextualize Our Insights for Your Business: https://www.researchdive.com/connect-to-analyst/167
Pre COVID-19 Analysis on Enterprise Data Management Market
Enterprise Data Management Market is predicted to rise with a CAGR of 9.3% over the forecast period by generating a revenue of $126.9 billion by 2026.
Porter's Five Forces Analysis for Enterprise Data Management Market:
o Bargaining Power of Suppliers: The switching cost from one supplier to another isprojected to be very high. The bargaining power of suppliers is very High.
o Bargaining Power of Consumers: In this market, the concentration of buyers is High. The bargaining power of consumers is High.
o The threat of New Entrants: Huge initial investments are essential to start a new enterprise data management.The threat of new entrants is Low.
o The threat of Substitutes: This market has numerous companies which provide various services; moreover,technology is alsooffers high switching costs for clients.
The threat of substitutes is High.
o Competitive Rivalry in the Market: The enterprise data management markethas the numerous small, medium, and large-scale players. Many major players are following several strategies and product differentiation among them. The competitive rivalry in the industry is High.
Enterprise Data Management program collates all the data related with making major decisions and building a strategy for the organization. Enterprise Data Management helps to identify the compliance, operating efficiencies, risksand build client relationship, which results in data quality, control on the data and information storage.
Increasing use of enterprise data management in many organizations is predicted to be the major driving factor for the growth ofenterprise data management market @ https://www.researchdive.com/purchase-enquiry/167
Enterprise Data Management Market Segmentation by Component
Software
o Data Security
o Data Quality
o Data Governance
o Data Warehousing
o Data Migration
o Data Integration
o Master Data Management
o Others
Services
o Managed Services
o Professional Services
Rise in the use of data management application in many of the organization is predicted to drive the Enterprise Data Management Market over the forecast period. The demand for data management has increased due to handling large data sets by data integration, data profiling, checking the quality of data, metadata management and many other data related problems. Moreover, enterprise data management helps in sharing, consistency, reliability and governing information to the organization for taking major decisions, and this is predicted to be the major driving factor for the market.
Data privacy is predicted to hamper the growth of the market during the forecast period. Most of the companies handle data with the help of open source applications which includes various processes and algorithms. Most of the processes and algorithms are run through open sources which enable hackers to get the source code without difficulty if the data are not highly protected. These are the biggest restraints for the growth of the market in the forecast period.
Enterprise Data Management Market Segmentation by Industry Vertical
o Healthcare & Life Sciences
o Banking, Financial Services & Insurance
o Telecom & Information Technology,
o Retail & Consumer Goods
o Media & Entertainment
o Manufacturing, Energy & Utilities
o Transportation & Logistics
o Government & Defense
o Others
Software component segmentis predicted to rise with a CAGR of 8.5% over the forecast period by generating a revenue of $71.2 billion by 2026.Software component segment is predicted to have the largest market share over the forecast period. The Software component segment is predicted to grow as most of the organizations use open source software for analytics, testing and security for data visualization, data interpretation and handling data.
Key Companies Profiled
o IBM Corporation (NYSE: IBM)
o SAP SE (ETR: SAP)
o Cloudera, Inc. (NYSE: CLDR)
o Microsoft (NASDAQ: MSFT)
o NTT Communications Corporation,
o SAS Institute Inc.
o HP Development Company, L.P.,
o TierPoint, LLC.,
o VMware Inc.,
o Amazon Web Services, Inc.,
Cloud deployment segment is estimated to be the fastest growing segment over the forecast period. Cloud based segment is predicted to rise with a CAGR of 11.4% over the forecast period by generating a revenue of $53.6 billion by 2026.Cloud helps the organization to consolidate processes like backing up the data, recovering files if lost, archiving the data in the most cost-effective ways, due to which this segment is predicted to give boost to the overall market growth over the forecast period.
Telecom & information technologysegment is predicted to have the largest market share over the forecast period. Telecom & information technologysegment ispredicted to rise with a CAGR of 10.1% over the forecast period by generating a revenue of $15.6 billion by 2026. Telecom & information technology has a huge set of customer data base based on various criteria such as demographics and socioeconomics. This segment is in demand to handle this large data with the help of various enterprise data management software, which is predicted to boost the telecom & information technologysegment over the forecast period.
Get Access to Full Report (TOC, Figures, Chart, etc.) @ https://www.researchdive.com/167/enterprise-data-management-market
Asia-Pacific market is predicted to hold the largest market share.Asia-Pacific market is predicted to rise with a CAGR of 9.0% over the forecast period by generating a revenue of $36.8 billion by 2026.The Asia-Pacific region is expected to rise due to significant investments by large companies in the region and an improvement in technology over the projected period. North America market is predicted to rise with a CAGR of 9.8% over the forecast period by generating a revenue of $34.7 billion by 2026.With a huge number of professionals with respect to cloud and government concentrating primarily on analytics and other artificial intelligence applications, the market in the region is expected to grow over the forecast period.
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Research Dive is a market research firm based in Pune, India. Maintaining the integrity and authenticity of the services, the firm provides the services that are solely based on its exclusive data model, compelled by the 360-degree research methodology, which guarantees comprehensive and accurate analysis. With unprecedented access to several paid data resources, team of expert researchers, and strict work ethic, the firm offers insights that are extremely precise and reliable. Scrutinizing relevant news releases, government publications, decades of trade data, and technical & white papers, Research dive deliver the required services to its clients well within the required timeframe. Its expertise is focused on examining niche markets, targeting its major driving factors, and spotting threatening hindrances. Complementarily, it also has a seamless collaboration with the major industry aficionado that further offers its research an edge.
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