[305 Pages Report] As a result of the growing adoption of the Internet of Things (IoT) devices, global enterprise data management is expected to flourish and secure US$ 208.9 Billion, while recording a CAGR of 8.4% during the timeframe of 2022 to 2032. The market is likely to garner US$ 93.5 Billion in 2022, which is a 1.1x expansion against the revenue of 2021, US$ 85.4 Billion.
The growing popularity of IoT and the growing need for on-time data delivery are expected to develop the market in the coming time. Also, rising demand for data integration and usage of visual analytics have been recognized as lucrative opportunities for the industry in the forecast period.
| Attribute | Details |
|---|---|
| Anticipated Base Year Value (2021) | US$ 85.4 Billion |
| Expected Market Value (2022) | US$ 93.5 Billion |
| Projected Forecast Value (2032) | US$ 208.9 Billion |
| Global Growth Rate (2022 to 2032) | 8.4% |
| Anticipated Market Size of the USA | US$ 72.8 Billion |
| Estimated CAGR of China (2022 to 2032) | 7.7% |
| Expected Market Size of the UK | US$ 9 Billion |
| Key Players in the Global Enterprise Data Management Market |
|
The increasing need to manage the massive data generated in various enterprises across the globe is expected to as a significant catalyst in augmenting the market size. Also, the rising need for on-time data delivery and increasing demand for data management among enterprises are expected to boost the expansion of the market.
The proliferation of big data technology and data analytics is predicted to grow the market size in the forecast period. Increasing demand for data integration and visual analytics is expected to benefit the market. The application of AI in cognitive media solutions enables the real-time synthesizing of data for better decision-making by allowing real-time analysis. In addition, players are taking various initiatives to expand their reach. In May 2022, SAS, BC Platforms partnered with analytics giant SAS on the analysis of genomic. Such initiatives are expected to benefit the industry in assessment tenure.
By industry vertical, the banking, financial services, and insurance segment is expected to witness tremendous growth during the stint of 2022 to 2032. With the sector being volatile, it handles massive data such as customer information, financial transaction, and product and service purchase history among others. This has resulted in a notable demand for an efficient enterprise data management system in the BFSI sector. It is expected to propel the market size from 2022 to 2032.
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The increasing inclination of organizations toward data integration is expected to play a salient role in driving the market in the forecast period. Enterprises adopt various data integration tools across several applications that boost digital transformation. Therefore, enterprises are focusing to develop better tools to manage and store data. In May 2022, Google Cloud developed cloud and edge systems focused to assist manufacturers to enhance operation efficiency by collecting soiled assets, process, and standardized data. The tool is assisted by manufacturing analytics and insights, machine-level anomaly, and predictive maintenance. Such initiatives are expected to benefit the enterprise data management market in the forthcoming period.
In addition, the advent of the Industrial Internet of Things (IIoT) is expected to drive the market during the time span of 2022 to 2032. As per a report published by Analytics Insight 2020, with the rise of IIoT, the demand for data integration has increased considerably. The IIoT and data integration platforms work together to produce a digital supply chain that enables players to regulate players to offer raw materials to the plant and finished goods to consumers.
Furthermore, other benefits such as; access to high-data quality for appropriate analysis, assuring the security of data, consolidation of data across various sources for enhanced efficiency, and consistency of data architecture that scales with the organization, among others, are likely to augment the market size in the forecast period. Owing to such factors, the market is set to flourish in the coming period.
The incorporation of the cloud with data integration is expected to offer remunerative opportunities for expansion to the global enterprise data management market. As per an article published by NetApp in January 2020, a USA-based hybrid cloud data services and data management company, there has been an increased demand to incorporate heterogeneous cloud systems.
The incorporation of software is based on analytical models that regulate the massive amount of data. The demand for data regulation can be monitored by cloud technology in a secure environment at a low cost. The benefits offered have motivated players to collaborate with each other, which has augmented the market size. For instance, in April 2022, Crux, a renowned player in external data integration solutions, announced that it had extended its partnership with Google Cloud. Google Cloud also announced the launch of Analytics Hub, which is a data exchange platform that enables one to securely exchange data assets across organizations to acknowledge challenges of data reliability and cost.
Evolved technologies such as; AWS or an OpenStack data center are focused on data integration and integrity software within public cloud platforms. Owing to such positive factors, the market is likely to witness significant remunerative opportunities for expansion in the assessment tenure.
Principal Consultant
Growing concerns about data security are likely to limit the market growth in the forecast period. The platform is vulnerable and can be encroached on by hackers. As per a report published by Empeek OU in February 2021, among the most significant obstacles to data integration in the healthcare sector, about 94% reported data security. Also, the growing accessibility and presence of open-source solutions are expected to hinder market expansion in the forecast period. In addition, efficient handling of large data, compliance, and privacy requirements are other causes that can hinder industry growth.
However, with increasing demand for risk management and software among enterprises, the market is expected to witness significant opportunities, which will also act as a counter to the impeding cause and propel the market growth in the forecast period.
Based on components, the global enterprise data management market can be segregated into software and services. As per the analysis, the global enterprise data management market is dominated by software. The segment is estimated to record a CAGR of 7.6% in the forecast period. This software helps organizations in augmenting their revenue by monitoring production, thereby, attracting clients. Also, there has been a significant rise in the number of startups and small and medium-sized businesses. These enterprises opt for data management software to expand their reach and augment their revenue. Owing to such factors, the segment is likely to expand significantly.
Based on deployment, the global data enterprise data management market can be segmented into cloud and on-premises. As per the analysis, the cloud segment is anticipated to lead the market in the forecast period. The segment is estimated at a growth rate of 7.7% from 2022 to 2032. The expansion of the segment can be attributed to various benefits offered in handling data and securing data accessibility. This is anticipated to drive the market in the assessment time.
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What Growth Prospects will unravel across the USA market?
According to FMI, the global enterprise data management market is expected to be dominated by North America. Among all, the USA is projected to lead the regional market during the timeframe of 2022 to 2032. The country is likely to garner US$ 72.8 Billion while expanding at a CAGR of 8.1% in the forecast period. Growth of the region can be attributed to the increasing focus of established companies such as; Amazon Web Services, IBM, and Oracle, among others, towards the adoption of next-generation technologies big data analytics, IoT, AI, and machine learning.
Besides, increasing investment of end-users in cloud services is likely to propel the industry in the forecast period. In addition, with increasing partnerships and acquisitions, the market is likely to flourish notably in the assessment period. For instance, in May 2021, a USA-based data integrity company, Precisely, completed the acquisition of Infogix, a data quality vendor. Such initiatives are likely to benefit the market in the region, thereby, expanding the market reach in the assessment period.
How will Asia Pacific countries fare in the Enterprise Data Management Market?
Asia Pacific is anticipated to be the most lucrative market in the forecast period. As per the analysis, China is projected to dominate the industry in the assessment period. The country is estimated at a market value of US$ 14.6 Billion while recording a CAGR of 7.7% from 2022 to 2032. The development of the regional market can be attributed to the presence of various small players.
Also, there has been a significant influx of demand for the end-user sectors such as; healthcare, BFSI, and others. Moreover, there has been a rise in investment among players in the market, which is likely to strengthen the market in the forecast period. In addition, the contribution of developing countries such as; Japan, India, and South Korea is of significance. According to FMI, Japan and South Korea have been estimated at a market value of US$ 11.8 Billion and US$ 7.3 Billion while recording a CAGR of 7% and 6% during the stint of 2022 to 2032.
| Country | Estimated CAGR |
|---|---|
| USA | 8.1% |
| UK | 7.4% |
| China | 7.7% |
| Japan | 7% |
| South Korea | 6% |
Key players in the global enterprise data management market include SAS Institute Inc., IBM Corporation, Oracle Corporation, Teradata Corporation, and SAP SE, among others. Recent developments in the industry are:
The global enterprise data management market is expected to secure a market value of US$ 208.9 Billion by 2032
The global enterprise data management market is expected to hold a value of US$ 93.5 billion in 2022
The USA market is expected to value US$ 72.8 million by 2032.
Japan is projected to garner a market value of US$ 11.8 billion by 2032
Software segment is anticipated to expand at a CAGR of 7.6% from 2022 to 2032
China is predicted to exhibit a CAGR of 7.7% during the forecast period
UK is expected to hold a market value of US$ 9 billion by 2032
The cloud segment, by deployment mode, is predicted to exhibit a growth rate of 7.7% in the forecast period.
1. Executive Summary | Enterprise Data Management Market
1.1. Global Market Outlook
1.2. Summary of Statistics
1.3. Key Market Characteristics & Attributes
1.4. FMI Analysis and Recommendations
2. Market Overview
2.1. Market Coverage
2.2. Market Definition
3. Market Risks and Trends Assessment
3.1. Risk Assessment
3.1.1. COVID-19 Crisis and Impact on Enterprise Data Management
3.1.2. COVID-19 Impact Benchmark with Previous Crisis
3.1.3. Impact on Market Value (US$ Million)
3.1.4. Assessment by Key Countries
3.1.5. Assessment by Key Market Segments
3.1.6. Action Points and Recommendation for Suppliers
3.2. Key Trends Impacting the Market
3.3. Formulation and Product Development Trends
4. Market Background
4.1. Market, by Key Countries
4.2. Market Opportunity Assessment (US$ Million)
4.2.1. Total Available Market
4.2.2. Serviceable Addressable Market
4.2.3. Serviceable Obtainable Market
4.3. Market Scenario Forecast
4.3.1. Demand in Optimistic Scenario
4.3.2. Demand in Likely Scenario
4.3.3. Demand in Conservative Scenario
4.4. Investment Feasibility Analysis
4.4.1. Investment in Established Markets
4.4.1.1. In Short Term
4.4.1.2. In Long Term
4.4.2. Investment in Emerging Markets
4.4.2.1. In Short Term
4.4.2.2. In Long Term
4.5. Forecast Factors - Relevance & Impact
4.5.1. Top Companies Historical Growth
4.5.2. Growth in Automation, By Country
4.5.3. Adoption Rate, By Country
4.6. Market Dynamics
4.6.1. Market Driving Factors and Impact Assessment
4.6.2. Prominent Market Challenges and Impact Assessment
4.6.3. Market Opportunities
4.6.4. Prominent Trends in the Global Market & Their Impact Assessment
5. Key Success Factors
5.1. Manufacturers’ Focus on Low Penetration High Growth Markets
5.2. Banking on with Segments High Incremental Opportunity
5.3. Peer Benchmarking
6. Global Market Demand Analysis 2015 to 2021 and Forecast, 2022 to 2032
6.1. Historical Market Analysis, 2015 to 2021
6.2. Current and Future Market Projections, 2022 to 2032
6.3. Y-o-Y Growth Trend Analysis
7. Global Market Value Analysis 2015 to 2021 and Forecast, 2022 to 2032
7.1. Historical Market Value (US$ Million) Analysis, 2015 to 2021
7.2. Current and Future Market Value (US$ Million) Projections, 2022 to 2032
7.2.1. Y-o-Y Growth Trend Analysis
7.2.2. Absolute $ Opportunity Analysis
8. Global Market Analysis 2015 to 2021 and Forecast 2022 to 2032, By Component
8.1. Introduction / Key Findings
8.2. Historical Market Size (US$ Million) Analysis By Component, 2015 to 2021
8.3. Current and Future Market Size (US$ Million) Analysis and Forecast By Component, 2022 to 2032
8.3.1. Software
8.3.1.1. Data Security
8.3.1.2. Master Data Management
8.3.1.3. Data Integration
8.3.1.4. Data Migration
8.3.1.5. Data Warehousing
8.3.1.6. Data Governance
8.3.1.7. Data Quality
8.3.1.8. Others
8.3.2. Services
8.3.2.1. Managed Services
8.3.2.2. Professional Services
8.4. Market Attractiveness Analysis By Component
9. Global Market Analysis 2015 to 2021 and Forecast 2022 to 2032, By Industry Vertical
9.1. Introduction / Key Findings
9.2. Historical Market Size (US$ Million) Analysis By Industry Vertical, 2015 to 2021
9.3. Current and Future Market Size (US$ Million) Analysis and Forecast By Industry Vertical, 2022 to 2032
9.3.1. Healthcare and Life Science
9.3.2. Banking, Financial Services, and Insurance (BFSI)
9.3.3. Telecom and Information Technology (IT)
9.3.4. Retail and Consumer Goods
9.3.5. Media and Entertainment
9.3.6. Manufacturing
9.3.7. Energy and Utilities
9.3.8. Transportation and Logistics
9.3.9. Government and Defense
9.3.10. Others
9.4. Market Attractiveness Analysis By Industry Vertical
10. Global Market Analysis 2015 to 2021 and Forecast 2022 to 2032, By Deployment Mode
10.1. Introduction / Key Findings
10.2. Historical Market Size (US$ Million) Analysis By Deployment Mode, 2015 to 2021
10.3. Current and Future Market Size (US$ Million) Analysis and Forecast By Deployment Mode, 2022 to 2032
10.3.1. Cloud
10.3.2. On-premises
10.4. Market Attractiveness Analysis By Deployment Mode
11. Global Market Analysis 2015 to 2021 and Forecast 2022 to 2032, By Organization Size
11.1. Introduction / Key Findings
11.2. Historical Market Size (US$ Million) Analysis By Organization Size, 2015 to 2021
11.3. Current and Future Market Size (US$ Million) Analysis and Forecast By Organization Size, 2022 to 2032
11.3.1. Small and Medium-sized Enterprises
11.3.2. Large enterprises
11.4. Market Attractiveness Analysis By Organization Size
12. Global Market Analysis 2015 to 2021 and Forecast 2022 to 2032, By Region
12.1. Introduction
12.2. Historical Market Size (US$ Million) Analysis By Region, 2015 to 2021
12.3. Current Market Size (US$ Million) & Analysis and Forecast By Region, 2022 to 2032
12.3.1. North America
12.3.2. Latin America
12.3.3. Europe
12.3.4. Asia Pacific
12.3.5. Middle East and Africa (MEA)
12.4. Market Attractiveness Analysis By Region
13. North America Market Analysis 2015 to 2021 and Forecast 2022 to 2032
13.1. Introduction
13.2. Pricing Analysis
13.3. Historical Market Value (US$ Million) Trend Analysis By Market Taxonomy, 2015 to 2021
13.4. Market Value (US$ Million) & Forecast By Market Taxonomy, 2022 to 2032
13.4.1. By Country
13.4.1.1. United States of America
13.4.1.2. Canada
13.4.1.3. Rest of North America
13.4.2. By Component
13.4.3. By Industry Vertical
13.4.4. By Organization Size
13.4.5. By Deployment Mode
13.5. Market Attractiveness Analysis
13.5.1. By Country
13.5.2. By Component
13.5.3. By Industry Vertical
13.5.4. By Organization Size
13.5.5. By Deployment Mode
14. Latin America Market Analysis 2015 to 2021 and Forecast 2022 to 2032
14.1. Introduction
14.2. Pricing Analysis
14.3. Historical Market Value (US$ Million) Trend Analysis By Market Taxonomy, 2015 to 2021
14.4. Market Value (US$ Million) & Forecast By Market Taxonomy, 2022 to 2032
14.4.1. By Country
14.4.1.1. Brazil
14.4.1.2. Mexico
14.4.1.3. Rest of Latin America
14.4.2. By Component
14.4.3. By Industry Vertical
14.4.4. By Organization Size
14.4.5. By Deployment Mode
14.5. Market Attractiveness Analysis
14.5.1. By Country
14.5.2. By Component
14.5.3. By Industry Vertical
14.5.4. By Organization Size
14.5.5. By Deployment Mode
15. Europe Market Analysis 2015 to 2021 and Forecast 2022 to 2032
15.1. Introduction
15.2. Pricing Analysis
15.3. Historical Market Value (US$ Million) Trend Analysis By Market Taxonomy, 2015 to 2021
15.4. Market Value (US$ Million) & Forecast By Market Taxonomy, 2022 to 2032
15.4.1. By Country
15.4.1.1. Germany
15.4.1.2. France
15.4.1.3. United Kingdom
15.4.1.4. Italy
15.4.1.5. Benelux
15.4.1.6. Nordic Countries
15.4.1.7. Rest of Europe
15.4.2. By Component
15.4.3. By Industry Vertical
15.4.4. By Organization Size
15.4.5. By Deployment Mode
15.5. Market Attractiveness Analysis
15.5.1. By Country
15.5.2. By Component
15.5.3. By Industry Vertical
15.5.4. By Organization Size
15.5.5. By Deployment Mode
16. Asia Pacific Market Analysis 2015 to 2021 and Forecast 2022 to 2032
16.1. Introduction
16.2. Pricing Analysis
16.3. Historical Market Value (US$ Million) Trend Analysis By Market Taxonomy, 2015 to 2021
16.4. Market Value (US$ Million) & Forecast By Market Taxonomy, 2022 to 2032
16.4.1. By Country
16.4.1.1. China
16.4.1.2. Japan
16.4.1.3. South Korea
16.4.1.4. Rest of Asia Pacific
16.4.2. By Component
16.4.3. By Industry Vertical
16.4.4. By Organization Size
16.4.5. By Deployment Mode
16.5. Market Attractiveness Analysis
16.5.1. By Country
16.5.2. By Component
16.5.3. By Industry Vertical
16.5.4. By Organization Size
16.5.5. By Deployment Mode
17. Middle East and Africa Market Analysis 2015 to 2021 and Forecast 2022 to 2032
17.1. Introduction
17.2. Pricing Analysis
17.3. Historical Market Value (US$ Million) Trend Analysis By Market Taxonomy, 2015 to 2021
17.4. Market Value (US$ Million) & Forecast By Market Taxonomy, 2022 to 2032
17.4.1. By Country
17.4.1.1. GCC Countries
17.4.1.2. South Africa
17.4.1.3. Turkey
17.4.1.4. Rest of Middle East and Africa
17.4.2. By Component
17.4.3. By Industry Vertical
17.4.4. By Organization Size
17.4.5. By Deployment Mode
17.5. Market Attractiveness Analysis
17.5.1. By Country
17.5.2. By Component
17.5.3. By Industry Vertical
17.5.4. By Organization Size
17.5.5. By Deployment Mode
18. Key Countries Market Analysis 2015 to 2021 and Forecast 2022 to 2032
18.1. Introduction
18.1.1. Market Value Proportion Analysis, By Key Countries
18.1.2. Global Vs. Country Growth Comparison
18.2. US Market Analysis
18.2.1. Value Proportion Analysis by Market Taxonomy
18.2.2. Value Analysis and Forecast by Market Taxonomy, 2015 to 2032
18.2.2.1. By Component
18.2.2.2. By Industry Vertical
18.2.2.3. By Organization Size
18.2.2.4. By Deployment Mode
18.3. Canada Market Analysis
18.3.1. Value Proportion Analysis by Market Taxonomy
18.3.2. Value Analysis and Forecast by Market Taxonomy, 2015 to 2032
18.3.2.1. By Component
18.3.2.2. By Industry Vertical
18.3.2.3. By Organization Size
18.3.2.4. By Deployment Mode
18.4. Mexico Market Analysis
18.4.1. Value Proportion Analysis by Market Taxonomy
18.4.2. Value Analysis and Forecast by Market Taxonomy, 2015 to 2032
18.4.2.1. By Component
18.4.2.2. By Industry Vertical
18.4.2.3. By Organization Size
18.4.2.4. By Deployment Mode
18.5. Brazil Market Analysis
18.5.1. Value Proportion Analysis by Market Taxonomy
18.5.2. Value Analysis and Forecast by Market Taxonomy, 2015 to 2032
18.5.2.1. By Component
18.5.2.2. By Industry Vertical
18.5.2.3. By Organization Size
18.5.2.4. By Deployment Mode
18.6. Germany Market Analysis
18.6.1. Value Proportion Analysis by Market Taxonomy
18.6.2. Value Analysis and Forecast by Market Taxonomy, 2015 to 2032
18.6.2.1. By Component
18.6.2.2. By Industry Vertical
18.6.2.3. By Organization Size
18.6.2.4. By Deployment Mode
18.7. France Market Analysis
18.7.1. Value Proportion Analysis by Market Taxonomy
18.7.2. Value Analysis and Forecast by Market Taxonomy, 2015 to 2032
18.7.2.1. By Component
18.7.2.2. By Industry Vertical
18.7.2.3. By Organization Size
18.7.2.4. By Deployment Mode
18.8. Italy Market Analysis
18.8.1. Value Proportion Analysis by Market Taxonomy
18.8.2. Value Analysis and Forecast by Market Taxonomy, 2015 to 2032
18.8.2.1. By Component
18.8.2.2. By Industry Vertical
18.8.2.3. By Organization Size
18.8.2.4. By Deployment Mode
18.9. BENELUX Market Analysis
18.9.1. Value Proportion Analysis by Market Taxonomy
18.9.2. Value Analysis and Forecast by Market Taxonomy, 2015 to 2032
18.9.2.1. By Component
18.9.2.2. By Industry Vertical
18.9.2.3. By Organization Size
18.9.2.4. By Deployment Mode
18.10. UK Market Analysis
18.10.1. Value Proportion Analysis by Market Taxonomy
18.10.2. Value Analysis and Forecast by Market Taxonomy, 2015 to 2032
18.10.2.1. By Component
18.10.2.2. By Industry Vertical
18.10.2.3. By Organization Size
18.10.2.4. By Deployment Mode
18.11. Nordic Countries Market Analysis
18.11.1. Value Proportion Analysis by Market Taxonomy
18.11.2. Value Analysis and Forecast by Market Taxonomy, 2015 to 2032
18.11.2.1. By Component
18.11.2.2. By Industry Vertical
18.11.2.3. By Organization Size
18.11.2.4. By Deployment Mode
18.12. China Market Analysis
18.12.1. Value Proportion Analysis by Market Taxonomy
18.12.2. Value Analysis and Forecast by Market Taxonomy, 2015 to 2032
18.12.2.1. By Component
18.12.2.2. By Industry Vertical
18.12.2.3. By Organization Size
18.12.2.4. By Deployment Mode
18.13. Japan Market Analysis
18.13.1. Value Proportion Analysis by Market Taxonomy
18.13.2. Value Analysis and Forecast by Market Taxonomy, 2015 to 2032
18.13.2.1. By Component
18.13.2.2. By Industry Vertical
18.13.2.3. By Organization Size
18.13.2.4. By Deployment Mode
18.14. South Korea Market Analysis
18.14.1. Value Proportion Analysis by Market Taxonomy
18.14.2. Value Analysis and Forecast by Market Taxonomy, 2015 to 2032
18.14.2.1. By Component
18.14.2.2. By Industry Vertical
18.14.2.3. By Organization Size
18.14.2.4. By Deployment Mode
18.15. GCC Countries Market Analysis
18.15.1. Value Proportion Analysis by Market Taxonomy
18.15.2. Value Analysis and Forecast by Market Taxonomy, 2015 to 2032
18.15.2.1. By Component
18.15.2.2. By Industry Vertical
18.15.2.3. By Organization Size
18.15.2.4. By Deployment Mode
18.16. South Africa Market Analysis
18.16.1. Value Proportion Analysis by Market Taxonomy
18.16.2. Value Analysis and Forecast by Market Taxonomy, 2015 to 2032
18.16.2.1. By Component
18.16.2.2. By Industry Vertical
18.16.2.3. By Organization Size
18.16.2.4. By Deployment Mode
18.17. Turkey Market Analysis
18.17.1. Value Proportion Analysis by Market Taxonomy
18.17.2. Value Analysis and Forecast by Market Taxonomy, 2015 to 2032
18.17.2.1. By Component
18.17.2.2. By Industry Vertical
18.17.2.3. By Organization Size
18.17.2.4. By Deployment Mode
18.17.3. Competition Landscape and Player Concentration in the Country
19. Market Structure Analysis
19.1. Market Analysis by Tier of Companies
19.2. Market Concentration
19.3. Market Share Analysis of Top Players
19.4. Market Presence Analysis
19.4.1. By Regional Footprint of Players
19.4.2. Product Footprint by Players
20. Competition Analysis
20.1. Competition Dashboard
20.2. Competition Benchmarking
20.3. Competition Deep Dive
20.3.1. IBM Corporation
20.3.1.1. Overview
20.3.1.2. Product Portfolio
20.3.1.3. Sales Footprint
20.3.1.4. Strategy Overview
20.3.2. SAS Institute Inc
20.3.2.1. Overview
20.3.2.2. Product Portfolio
20.3.2.3. Sales Footprint
20.3.2.4. Strategy Overview
20.3.3. Teradata Corporation
20.3.3.1. Overview
20.3.3.2. Product Portfolio
20.3.3.3. Sales Footprint
20.3.3.4. Strategy Overview
20.3.4. Oracle Corporation
20.3.4.1. Overview
20.3.4.2. Product Portfolio
20.3.4.3. Sales Footprint
20.3.4.4. Strategy Overview
20.3.5. SAP SE
20.3.5.1. Overview
20.3.5.2. Product Portfolio
20.3.5.3. Sales Footprint
20.3.5.4. Strategy Overview
20.3.6. Talend
20.3.6.1. Overview
20.3.6.2. Product Portfolio
20.3.6.3. Sales Footprint
20.3.6.4. Strategy Overview
20.3.7. Symantec
20.3.7.1. Overview
20.3.7.2. Product Portfolio
20.3.7.3. Sales Footprint
20.3.7.4. Strategy Overview
20.3.8. Cloudera
20.3.8.1. Overview
20.3.8.2. Product Portfolio
20.3.8.3. Sales Footprint
20.3.8.4. Strategy Overview
20.3.9. Ataccama
20.3.9.1. Overview
20.3.9.2. Product Portfolio
20.3.9.3. Sales Footprint
20.3.9.4. Strategy Overview
20.3.10. Informatica
20.3.10.1. Overview
20.3.10.2. Product Portfolio
20.3.10.3. Sales Footprint
20.3.10.4. Strategy Overview
21. Assumptions and Acronyms Used
22. Research Methodology
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Enterprise Data Management Market
