The explosive growth of the IoT keeps on creating a consistently expanding volume of information, from sources as assorted as mechanical hardware, shrewd apparatuses, and wellness trackers. Similarly, business procedures have turned out to be progressively distributed, and frequently include personnel and resources in various groups and areas, which results in a higher volume of increasingly complex business data. These difficulties have driven a number of organizations to discover better approaches in improving their enterprise data management procedures.

Effective data integration is one of the biggest factors that is driving the enterprise data management market. Enterprise data integration means moving and solidifying a business' varied information into one accessible place. This is a key component for making all the divergent data structures accessible and useable for the organization. Utilizing an enterprise data management vitalizes the integration of an organization's tasks from all domains. It fills in as an integration layer among customers and their outsourced service providers. The enterprise data management helps in to perceive how one portion of the organization influences the other fragment. The enterprise data management platform can be utilized to reconcile and validate information, reconcile different providers and stimulate the integration to another outsourcer. It decreases the risk while maintaining control of critical information.

Cloud-based deployment in enterprise data management is growing rapidly. Cloud provides agility, scalability and power. This is empowering businesses to get accustomed in the changing business models and markets while interfacing with the consistently growing external data environment. With the cloud-based deployment, security has an entirely different importance, advancing impressively to incorporate data security, value-based security, data governance, data & analytical auditability, and strict user administration. Organizations are after cloud-first solutions for a variety of reasons. The idea of moving to the cloud include data accessibility, improved adaptability and disaster recovery. Tools that can adventure cloud in news ways without yielding user control will be tremendously beneficial to organizations as they detail their cloud procedures.

The detailed research study provides qualitative and quantitative analysis of Global Enterprise Data Management Market. The market has been analyzed from demand as well as supply side. The demand side analysis covers market revenue across regions and further across all the major countries. The supply side analysis covers the major market players and their regional and global presence and strategies. The geographical analysis done emphasizes each of the major countries across North America, Europe, Asia Pacific, Middle East & Africa and Latin America.

Global Enterprise Data Management Market Share in 2018, By Region

Key findings of the report:

• The global enterprise data management market is expected to reach US$ 232,991.5 million by 2027 in terms of revenue because of increasing demand for data governance and data security by most of the organizations. Also, data integration is one of the key factor for the growth of enterprise data management market.
• Master Data Management held the largest market share in 2018 and is anticipated to grow at a CAGR of 12.9% over the forecast period as it is helpful to analyze the existing data management processes and develops best practices for handling critical data of the organization.
• Banking, Financial Services and Insurance (BFSI) covered most of the market share in 2018 and is expected to follow the trend for the forecast period at a CAGR of 13.2%. It needs to set up a model for consumers to further curate and advance the data management semantics.
• Asia Pacific Enterprise Data Management market is expected to grow at a fastest growth rate of 13.1% during 2019 to 2027 due to continuous increase in the information and technology businesses.
• Some of the players operating in the global enterprise data management market are Accenture, Adaptive Inc., Cambridge Semantics Inc., GoldenSource, IBM Corporation, Informatica Corporation, Intel Corporation, Mule Soft, Oracle amongst others.

By Organization Size:

• Large Enterprises
• Small and Medium Enterprises (SMEs)

By Application:

• Data Integration
• Data Migration
• Data Warehousing
• Data Quality
• Data Security
• Master Data Management
• Others

By Vertical:

• Banking, Financial Services and Insurance
• Government
• Retail
• Healthcare
• IT and Telecom
• Manufacturing
• Energy and Utilities
• Transportation and Logistics
• Others

By Deployment Mode:

• On-Premise
• Cloud-based

By Geography

• North America
  • U.S.
  • Canada
  • Mexico
  • Rest of North America
• Asia Pacific
  • China
  • Japan
  • India
  • New Zealand
  • Australia
  • South Korea
  • Southeast Asia
    • Indonesia
    • Thailand
    • Malaysia
    • Singapore
    • Rest of Southeast Asia
  • Rest of Asia Pacific
• Europe
  • France
  • The UK
  • Spain
  • Germany
  • Italy
  • Nordic Countries
    • Denmark
    • Finland
    • Iceland
    • Sweden
    • Norway
  • Benelux Union
    • Belgium
    • The Netherlands
    • Luxembourg
  • Rest of Europe
• Middle East and Africa
  • Saudi Arabia
  • UAE
  • Egypt
  • Kuwait
  • South Africa
  • Rest of Middle East & Africa
• Latin America
  • Argentina
  • Brazil
  • Rest of Latin America