Enterprise Data Loss Prevention Software Market Scenario:
The growing information and communication industry to spotlight the global Enterprise Data Management, as the market, which could expand around CAGR of 12 % during 2017-2023, reveals Market Research Future in its detailed study. The study also includes that the market would attain maximum valuation of USD 146 Million during the same period of expansion.
The market for Enterprise Data Management is observing a tremendous growth due to the surge in the demand for risk management solutions and rising need for on-time authentic information. These factors are anticipated to cumulatively drive the growth of enterprise data management market over the assessment period.
At the same time, Enterprise Data Loss Prevention Software Market is gaining prominence with the amplified need for managing voluminous data generated in an organization daily. The necessity for framing data strategy to gain competitive and strategic advantage is primarily driving the enterprise data management market. Apart from this, the amount of data generated and handled by organizations which they can use for various advantages is rising at a tremendous rate and thus placing data management high on agendas are also to drive the market over the forecast period.
On the flip side, the factors such as data address validation issues, quality of data, and data silos are studied as restraining elements that could hinder the growth of the market in its progression period. Yet, on the same parameter, the growing adoption of enterprise data management by many companies, across the world is creating immense opportunities for the growth of the market. Moreover, the production of Big Data technology is therefore anticipated to assist the EDM market remarkably to grow during the forecast period.
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Enterprise Data Loss Prevention Software Market Major Key Players:
Marvel companies such as MongoDB (U.S.), Symantec Corporation (U.S.), SAP SE (Germany), IBM Corporation (U.S.), Talend (U.S.), Goldensource (U.S.), Jade Global (U.S.), Mulesoft (U.S.), Oracle Corporation (U.S.), Intel Security (U.S.), Teradata Corporation (U.S.), Accenture (Ireland), SAS Institute Inc. (U.S.), Mindtree (India), Solix technologies Inc. (U.S.), Cognizant (U.S.), Liasion Technologies (Sweden), and Primitive Logic (U.S.) are involved in providing enterprise data management solutions and making the market to grow considerably.
Enterprise Data Loss Prevention Software Market Segmentation:
The enterprise data management market is broadly categorized by the elements of component, organization size, deployment, and end-user.
Segmentation by component Solutions and services are the segments.
- In terms of services: Professional services and managed services are the segments. Among these, the professional services are also bifurcated into implementing & integrating services, training & support services consulting services. Whereas, the solutions segment is further categorized into data warehousing, data security, data governance, data integration, data synchronization, data processing, data quality, and more.
- In terms of organization: Large enterprise and small & medium enterprise are the segments.
- In terms of deployment: On-cloud and on-premises are the segments.
- In terms of end-user: Healthcare, manufacturing, energy & power, BFSI, transportation & logistics, government IT & telecom, are the segments.
Enterprise Data Loss Prevention Software Market Regional Outlook:
Geologically, the enterprise data management market has been studies under the key regions namely Europe, North America, Pacific, Asia, and the Rest of the World.
Among these, North America is reputed to have momentous growth in the enterprise data management market. Countries like the United States and Canada are leading the markets of the region. Therefore, the growth of the market in this region is due to high-level expertise included in the cloud deployment of enterprise data management.
On the same part, Asia Pacific region is also observed to be the fastest growing region in the enterprise data management market over the assessment period. The countries like India, Japan, South Korea, and China are the leading countries in the region as the growth of the market is attributed to rising investment to boost the IT sector.
Europe region is anticipated to observe a substantial growth in the market in support of robust technological infrastructure.
Enterprise Data Loss Prevention Software Industry News:
• Acronis moves squarely to the edge to take more enterprise data management business forward for the future opportunities.
• Stardog, the leading enterprise data unification platform, announced about its execution of a Series B round, securing $9 million in financing which is led by Tenfore Holdings with participation from Grotech Ventures, Boulder Ventures, and Core Capital.
Table of Contents
1…. Market Introduction
1.2 Scope of Study
1.2.1 Research Objective
1.3 Market Structure:
1.3.1 Global Enterprise Data Loss Prevention Software Market: By Components
1.3.2 Global Enterprise Data Loss Prevention Software Market: By Deployment Type
1.3.3 Global Enterprise Data Loss Prevention Software Market: By Applications
1.3.4 Global Enterprise Data Loss Prevention Software Market: By Region
2…. Research Methodology
2.2 Primary Research
2.3 Secondary Research
2.4 Forecast Model
List of Tables
Table 1 Enterprise Data Loss Prevention Software Market, By Components
Table 2 Enterprise Data Loss Prevention Software Market, By Deployment Type
Table 3 Enterprise Data Loss Prevention Software Market, By Applications
Table 4 Enterprise Data Loss Prevention Software Market, By Regions
Table 5 North America Enterprise Data Loss Prevention Software Market, By Components
List of Figures
Figure 1 Research Methodology
Figure 2 Enterprise Data Loss Prevention Software Market: By Components (%)
Figure 3 Enterprise Data Loss Prevention Software Market: By Deployment Type (%)
Figure 4 Enterprise Data Loss Prevention Software Market: By Applications (%)
Figure 5 Enterprise Data Loss Prevention Software Market: By Region (%)
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