Enterprise Data Management Market

Best Price Guarantee	Length	Publisher	Published Date	SKU
from $4,850	150 Pages	Fortune Business Insights Pvt. Ltd.	October, 2024	FOB19224154

Best Price Guarantee
Price	from $4,850
Length	150 Pages
Publisher	Fortune Business Insights Pvt. Ltd.
Published Date	October, 2024
SKU	FOB19224154

Enterprise Data Management Market

Growth Factors of Enterprise Data Management Market

The enterprise data management market size was valued at USD 92.18 billion in 2023, and the market is now projected to grow from USD 101.04 billion in 2024 to USD 224.87 billion by 2032, exhibiting a CAGR of 10.5% during the forecast period of 2023-2032.

The COVID-19 pandemic posed significant challenges on the digital transformation market growth. Due to lack of industrial operations and a halt in commercial campaigns, implementation of government policies, investments in projects and other initiatives due to covid pandemic., which lead a decline in the enterprise data management market expansion. The COVID-19 pandemic disrupted demand patterns, significantly impacting the digital transformation visual merchandisers business. During covid pandemic most of the business were forced to shift to online selling’s by closing physical stores which boost the enterprise data management market growth. This trend will be continued as business recognize the importance of having an efficient and visually appealing online store for driving sales and reaching a worldwide client base. Hence, online store sale is anticipating witnessing a boom in the projected period.

Growth of risk management and data management solutions to increase market demand. The data's organizational risk is increasing rapidly. Concerns about privacy may arise from poor data management. Businesses are employing effective risk management solutions that stop data breaches in order to reduce the risk. Therefore, there is an increasing need for risk management solutions due to the requirement to manage data while also lowering the risk of privacy problems.

Growing use of enterprise database management is anticipated to drive the industry. A method for defining, locating, and combining data from internal and external communications sources is called enterprise data management, or EDM. External communications include partners, shareholders, suppliers, regulators, and others; internal applications include HR, finance, CRM, ERP, business intelligence, and others. Organizations may handle master data exceptional by using an integrated strategy for managing data, such as EDM.

Comprehensive Analysis of Enterprise Data Management Market

The enterprise data management market and technology industry is rising at an exponential rate due to its market segmentation. This market expansion effectively provides a detailed regional assessment considering the dominant supply and demand forces that impact the pharmacy benefit management industry. These segmentations are methodically segregated by deployment of devices and by end users. The Deployment segmentation includes Cloud and On-premise, By Enterprise Size segmentation includes Small & Medium Enterprises (SMEs), and Large Enterprises, By Industry segmentation includes BFSI, Retail, Healthcare, IT & Telecom, Manufacturing, Government, and Others, By Function segmentation includes Data Warehouse, Data Governance, Data Integration, Data Security, Master Data Management, and others.

The North America region lead the enterprise data management market by benefitting a market size of USD 28.81 billion in 2023 owing to due to the growing use of analytics, artificial intelligence, and cloud computing in company operations across a range of industries.

The top players in the market play a crucial role in the technology industry assuring industrial prospectus growth and setting market standards. These players include, IBM Corporation (U.S.), Commvault (U.S.), SAP SE (Germany), Amazon.com Inc. (U.S.), Mindtree Ltd. (India), Talend (U.S.), Teradata Corporation (U.S.) Cloudera, Inc. (U.S.), Oracle Corporation (U.S.) and Informatica Inc. (U.S.) these market players provide a level-playing competitive environment across the globe.

In October 2023, In November 2023, ""Amazon DataZone, was introduced by Amazon Web Services, Inc. to promote enterprises catalog, analyze, exchange, and regulate data globally.

Segmentation Table

ATTRIBUTE DETAILS

Study Period 2019-2032

Base Year 2023

Estimated Year 2024

Forecast Period 2024-2032

Historical Period 2019-2022

Growth Rate CAGR of 10.5% from 2024 to 2032

Unit Value (USD billion)

Segmentation By Deployment

Cloud
On-premise

By Enterprise Size

Small & Medium Enterprises (SMEs)
Large Enterprises

By Industry

BFSI
Retail
Healthcare
IT & Telecom
Manufacturing
Government
Others (Media & Entertainment, education, and etc.)

By Function

Data Warehouse
Data Governance
Data Integration
Data Security
Master Data Management
Others (Quality, Data Synchronization, and etc.)

By Region

North America (By Deployment, By Enterprise Size, By Industry, By Function, and By Country)
U.S. (By Industry)
Canada (By Industry)
Mexico (By Industry)
South America (By Deployment, By Enterprise Size, By Industry, By Function, and By Country)
Brazil (By Industry)
Argentina (By Industry)
Rest of South America
Europe (By Deployment, By Enterprise Size, By Industry, By Function, and By Country)
Germany (By Industry)
France (By Industry)
Italy (By Industry)
Spain (By Industry)
Russia (By Industry)
Benelux (By Industry)
Nordics (By Industry)
Rest of Europe
Middle East & Africa (By Deployment, By Enterprise Size, By Industry, By Function, and By Country)
Turkey (By Industry)
Israel (By Industry)
GCC (By Industry)
South Africa (By Industry)
North Africa (By Industry)
Rest of the Middle East & Africa
Asia Pacific (By Deployment, By Enterprise Size, By Industry, By Function, and By Country)
China (By Industry)
India (By Industry)
Japan (By Industry)
South Korea (By Industry)
ASEAN (By Industry)
Oceania (By Industry)
Rest of Asia Pacific

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1. Introduction: 1.1. Definition, By Segment; 1.2. Research Methodology/Approach; 1.3. Data Sources
2. Executive Summary
3. Market Dynamics: 3.1. Macro and Micro Economic Indicators; 3.2. Drivers, Restraints, Opportunities and Trends
4. Competition Landscape: 4.1. Business Strategies Adopted by Key Players; 4.2. Consolidated SWOT Analysis of Key Players; 4.3. Global Enterprise Data Management Key Players Market Share Insights and Analysis, 2023
5. Global Enterprise Data Management Market Size Estimates and Forecasts, By Segments, 2019-2032: 5.1. Key Findings; 5.2. By Deployment (USD); 5.2.1. Cloud; 5.2.2. On-premise; 5.3. By Enterprise Size (USD); 5.3.1. Small & Medium Enterprises (SMEs); 5.3.2. Large Enterprises; 5.4. By Industry (USD); 5.4.1. BFSI; 5.4.2. Retail; 5.4.3. Healthcare; 5.4.4. IT & Telecom; 5.4.5. Manufacturing; 5.4.6. Government; 5.4.7. Others (Media & Entertainment, education, and etc.); 5.5. By Function (USD); 5.5.1. Data Warehouse; 5.5.2. Data Governance; 5.5.3. Data Integration; 5.5.4. Data Security; 5.5.5. Master Data Management; 5.5.6. Others (Quality, Data Synchronization, and etc.); 5.6. By Region (USD); 5.6.1. North America; 5.6.2. South America; 5.6.3. Europe; 5.6.4. Middle East & Africa; 5.6.5. Asia Pacific
6. North America Enterprise Data Management Market Size Estimates and Forecasts, By Segments, 2019-2032: 6.1. Key Findings; 6.2. By Deployment (USD); 6.2.1. Cloud; 6.2.2. On-premise; 6.3. By Enterprise Size (USD); 6.3.1. Small & Medium Enterprises (SMEs); 6.3.2. Large Enterprises; 6.4. By Industry (USD); 6.4.1. BFSI; 6.4.2. Retail; 6.4.3. Healthcare; 6.4.4. IT & Telecom; 6.4.5. Manufacturing; 6.4.6. Government; 6.4.7. Others (Media & Entertainment, education, and etc.); 6.5. By Function (USD); 6.5.1. Data Warehouse; 6.5.2. Data Governance; 6.5.3. Data Integration; 6.5.4. Data Security; 6.5.5. Master Data Management; 6.5.6. Others (Quality, Data Synchronization, and etc.); 6.6. By Country (USD); 6.6.1. United States; 6.6.1.1. By Industry; 6.6.2. Canada; 6.6.2.1. By Industry; 6.6.3. Mexico; 6.6.3.1. By Industry
7. South America Enterprise Data Management Market Size Estimates and Forecasts, By Segments, 2019-2032: 7.1. Key Findings; 7.2. By Deployment (USD); 7.2.1. Cloud; 7.2.2. On-premise; 7.3. By Enterprise Size (USD); 7.3.1. Small & Medium Enterprises (SMEs); 7.3.2. Large Enterprises; 7.4. By Industry (USD); 7.4.1. BFSI; 7.4.2. Retail; 7.4.3. Healthcare; 7.4.4. IT & Telecom; 7.4.5. Manufacturing; 7.4.6. Government; 7.4.7. Others (Media & Entertainment, education, and etc.); 7.5. By Function (USD); 7.5.1. Data Warehouse; 7.5.2. Data Governance; 7.5.3. Data Integration; 7.5.4. Data Security; 7.5.5. Master Data Management; 7.5.6. Others (Quality, Data Synchronization, and etc.); 7.6. By Country (USD); 7.6.1. Brazil; 7.6.1.1. By Industry; 7.6.2. Argentina; 7.6.2.1. By Industry; 7.6.3. Rest of South America
8. Europe Enterprise Data Management Size Estimates and Forecasts, By Segments, 2019-2032: 8.1. Key Findings; 8.2. By Deployment (USD); 8.2.1. Cloud; 8.2.2. On-premise; 8.3. By Enterprise Size (USD); 8.3.1. Small & Medium Enterprises (SMEs); 8.3.2. Large Enterprises; 8.4. By Industry (USD); 8.4.1. BFSI; 8.4.2. Retail; 8.4.3. Healthcare; 8.4.4. IT & Telecom; 8.4.5. Manufacturing; 8.4.6. Government; 8.4.7. Others (Media & Entertainment, education, and etc.); 8.5. By Function (USD); 8.5.1. Data Warehouse; 8.5.2. Data Governance; 8.5.3. Data Integration; 8.5.4. Data Security; 8.5.5. Master Data Management; 8.5.6. Others (Quality, Data Synchronization, and etc.); 8.6. By Country (USD); 8.6.1. United Kingdom; 8.6.1.1. By Industry; 8.6.2. Germany; 8.6.2.1. By Industry; 8.6.3. France; 8.6.3.1. By Industry; 8.6.4. Italy; 8.6.4.1. By Industry; 8.6.5. Spain; 8.6.5.1. By Industry; 8.6.6. Russia; 8.6.6.1. By Industry; 8.6.7. Benelux; 8.6.7.1. By Industry; 8.6.8. Nordics; 8.6.8.1. By Industry; 8.6.9. Rest of Europe
9. Middle East & Africa Enterprise Data Management Market Size Estimates and Forecasts, By Segments, 2019-2032: 9.1. Key Findings; 9.2. By Deployment (USD); 9.2.1. Cloud; 9.2.2. On-premise; 9.3. By Enterprise Size (USD); 9.3.1. Small & Medium Enterprises (SMEs); 9.3.2. Large Enterprises; 9.4. By Industry (USD); 9.4.1. BFSI; 9.4.2. Retail; 9.4.3. Healthcare; 9.4.4. IT & Telecom; 9.4.5. Manufacturing; 9.4.6. Government; 9.4.7. Others (Media & Entertainment, education, and etc.); 9.5. By Function (USD); 9.5.1. Data Warehouse; 9.5.2. Data Governance; 9.5.3. Data Integration; 9.5.4. Data Security; 9.5.5. Master Data Management; 9.5.6. Others (Quality, Data Synchronization, and etc.); 9.6. By Country (USD); 9.6.1. Turkey; 9.6.1.1. By Industry; 9.6.2. Israel; 9.6.2.1. By Industry; 9.6.3. GCC; 9.6.3.1. By Industry; 9.6.4. North Africa; 9.6.4.1. By Industry; 9.6.5. South Africa; 9.6.5.1. By Industry; 9.6.6. Rest of MEA
10. Asia Pacific Enterprise Data Management Market Size Estimates and Forecasts, By Segments, 2019-2032: 10.1. Key Findings; 10.2. By Deployment (USD); 10.2.1. Cloud; 10.2.2. On-premise; 10.3. By Enterprise Size (USD); 10.3.1. Small & Medium Enterprises (SMEs); 10.3.2. Large Enterprises; 10.4. By Industry (USD); 10.4.1. BFSI; 10.4.2. Retail; 10.4.3. Healthcare; 10.4.4. IT & Telecom; 10.4.5. Manufacturing; 10.4.6. Government; 10.4.7. Others (Media & Entertainment, education, and etc.); 10.5. By Function (USD); 10.5.1. Data Warehouse; 10.5.2. Data Governance; 10.5.3. Data Integration; 10.5.4. Data Security; 10.5.5. Master Data Management; 10.5.6. Others (Quality, Data Synchronization, and etc.); 10.6. By Country (USD); 10.6.1. China; 10.6.1.1. By Industry; 10.6.2. India; 10.6.2.1. By Industry; 10.6.3. Japan; 10.6.3.1. By Industry; 10.6.4. South Korea; 10.6.4.1. By Industry; 10.6.5. ASEAN; 10.6.5.1. By Industry; 10.6.6. Oceania; 10.6.6.1. By Industry; 10.6.7. Rest of Asia Pacific
11. Company Profiles for Top 10 Players: 11.1. Oracle Corporation; 11.1.1. Overview; 11.1.1.1. Key Management; 11.1.1.2. Headquarters; 11.1.1.3. Offerings/Business Segments; 11.1.2. Key Details (Key details are consolidated data and not product/service specific); 11.1.2.1. Employee Size; 11.1.2.2. Past and Current Revenue; 11.1.2.3. Geographical Share; 11.1.2.4. Business Segment Share; 11.1.2.5. Recent Developments; 11.2. IBM Corporation; 11.2.1. Overview; 11.2.1.1. Key Management; 11.2.1.2. Headquarters; 11.2.1.3. Offerings/Business Segments; 11.2.2. Key Details (Key details are consolidated data and not product/service specific); 11.2.2.1. Employee Size; 11.2.2.2. Past and Current Revenue; 11.2.2.3. Geographical Share; 11.2.2.4. Business Segment Share; 11.2.2.5. Recent Developments; 11.3. SAP SE; 11.3.1. Overview; 11.3.1.1. Key Management; 11.3.1.2. Headquarters; 11.3.1.3. Offerings/Business Segments; 11.3.2. Key Details (Key details are consolidated data and not product/service specific); 11.3.2.1. Employee Size; 11.3.2.2. Past and Current Revenue; 11.3.2.3. Geographical Share; 11.3.2.4. Business Segment Share; 11.3.2.5. Recent Developments; 11.4. Amazon.com Inc.; 11.4.1. Overview; 11.4.1.1. Key Management; 11.4.1.2. Headquarters; 11.4.1.3. Offerings/Business Segments; 11.4.2. Key Details (Key details are consolidated data and not product/service specific); 11.4.2.1. Employee Size; 11.4.2.2. Past and Current Revenue; 11.4.2.3. Geographical Share; 11.4.2.4. Business Segment Share; 11.4.2.5. Recent Developments; 11.5. Cloudera, Inc.; 11.5.1. Overview; 11.5.1.1. Key Management; 11.5.1.2. Headquarters; 11.5.1.3. Offerings/Business Segments; 11.5.2. Key Details (Key details are consolidated data and not product/service specific); 11.5.2.1. Employee Size; 11.5.2.2. Past and Current Revenue; 11.5.2.3. Geographical Share; 11.5.2.4. Business Segment Share; 11.5.2.5. Recent Developments; 11.6. Commvault; 11.6.1. Overview; 11.6.1.1. Key Management; 11.6.1.2. Headquarters; 11.6.1.3. Offerings/Business Segments; 11.6.2. Key Details (Key details are consolidated data and not product/service specific); 11.6.2.1. Employee Size; 11.6.2.2. Past and Current Revenue; 11.6.2.3. Geographical Share; 11.6.2.4. Business Segment Share; 11.6.2.5. Recent Developments; 11.7. Mindtree Ltd.; 11.7.1. Overview; 11.7.1.1. Key Management; 11.7.1.2. Headquarters; 11.7.1.3. Offerings/Business Segments; 11.7.2. Key Details (Key details are consolidated data and not product/service specific); 11.7.2.1. Employee Size; 11.7.2.2. Past and Current Revenue; 11.7.2.3. Geographical Share; 11.7.2.4. Business Segment Share; 11.7.2.5. Recent Developments; 11.8. Teradata Corporation; 11.8.1. Overview; 11.8.1.1. Key Management; 11.8.1.2. Headquarters; 11.8.1.3. Offerings/Business Segments; 11.8.2. Key Details (Key details are consolidated data and not product/service specific); 11.8.2.1. Employee Size; 11.8.2.2. Past and Current Revenue; 11.8.2.3. Geographical Share; 11.8.2.4. Business Segment Share; 11.8.2.5. Recent Developments; 11.9. Talend; 11.9.1. Overview; 11.9.1.1. Key Management; 11.9.1.2. Headquarters; 11.9.1.3. Offerings/Business Segments; 11.9.2. Key Details (Key details are consolidated data and not product/service specific); 11.9.2.1. Employee Size; 11.9.2.2. Past and Current Revenue; 11.9.2.3. Geographical Share; 11.9.2.4. Business Segment Share; 11.9.2.5. Recent Developments; 11.10. Informatica Inc.; 11.10.1. Overview; 11.10.1.1. Key Management; 11.10.1.2. Headquarters; 11.10.1.3. Offerings/Business Segments; 11.10.2. Key Details (Key details are consolidated data and not product/service specific); 11.10.2.1. Employee Size; 11.10.2.2. Past and Current Revenue; 11.10.2.3. Geographical Share; 11.10.2.4. Business Segment Share; 11.10.2.5. Recent Developments