Global Data Fabric Market: by Type (Disk based, In-memory), by Application (Business process management, GRC management, customer experience management), by service (managed and professional) and vertical (BFSI, automotive, manufacturing) - Forecast till 2027
ID: MRFR/ICT/3445-HCR | February 2021 | Region: Global | 100 pages
Data Fabric Market Overview:
The CAGR for the data fabric market is expected to be 18% until at least 2023. IT departments use data fabric software to move and manage data in a consistent manner. This software makes the data easier to understand. It then stores it on the vast cloud network.
The data is uniform, and delivery is consistent. This is necessary for management to understand and analyze data for certain key insights and information.
COVID-19 Analysis:
COVID-19 first appeared in the early spring of last year. At first, it was thought to be nothing more than a nuisance virus. However, the fact that some people who got it had to be hospitalized and the fact that some COVID-19 patients died from it soon proved that this was not the case. Governments around the world tried to contain the virus by imposing quarantines and lockdowns.
The effects of this were disastrous for many industries and markets. But this was not the case for the data fabric market. Demand picked up, and the CAGR accelerated as more people were working remotely and using the net more often. They needed to have a secure and reliable way to store and access their information.
Data Fabric Market Dynamics:
Drivers:
One of the main factors that are driving growth in the data fabric market is the fact that the techniques for processing and transmitting data are becoming more numerous and diverse. Another major factor is the fact that the net is being used in more places in the world and by more people. This can be partly attributed to COVID-19. Another important growth factor is the fact that more and more organizations are using the cloud as they let their workers work remotely. Finally, the fact that more network infrastructure is being used for virtual working is driving growth in this market.
Opportunities:
There are many opportunities as growth in the data fabric market accelerates. Businesses and individuals now need software that is more sophisticated and more advanced. They also need software that is capable of storing and accessing far more data than in the past. This is motivating many companies in the field to invest heavily in research and development to come up with more advanced and sophisticated versions of data fabric software.
Restraints:
The fact that data fabric software is expensive may hold back growth in the market somewhat.
Challenges:
A major challenge for the data fabric market lies in keeping the costs of producing data fabric down while improving its quality. This will help keep the final price for the final end consumer down considerably.
Cumulative Growth Analysis:
The CAGR for the data fabric market is expected to be 18% until at least the end of 2023.
Technology Analysis:
A major player in the data fabric market is Informatica. This company is one of the industry leaders in this market. It reached its current position by investing heavily in research and development. This allowed it to come up with a new generation of far more effective and efficient data fabric software that stored and retrieved information much faster than the previous generations did.
Global Data Fabric Market, 2017-2023 (USD Million)
Segment Overview:
By Type:
The data fabric market is classified into the following sub-segments by type:
- Disk-based
- In-memory
By Application:
The market is classified into the following sub-segments by application:
- Business process management
- Customer experience management
- Governance, risk management, and compliance (GRC) management
- Fraud detection
- Security management
By Services:
The market is classified into the following sub-segments by services:
- Managed services
- Professional services
By Vertical:
The data fabric market is classified into the following based on vertical:
- Healthcare
- BFSI
- Automotive
- Retail
- E-commerce
- Media and entertainment
- Energy and utilities
- Others
By Region:
The data fabric market is segmented into the following regions:
- North America
- The European Union
- The Asia-Pacific region
Regional Analysis:
The North American region has the lion’s share in terms of market share of all of the regions in the world. This is the case because Canada and (especially) America are home to some of the largest, most sophisticated, and most technologically advanced data fabric software companies in the world.
These companies have lots of sales and generate billions in revenue every year. Their deep treasuries give them the monetary resources to invest heavily in research and development. It’s this research and development that allows these companies to come up with innovative new products that solidify their superior positions in the data fabric market.
But there’s another key reason why the North American region has the largest market share in the world. It lies in the fact that large and medium-sized companies both in Canada and the United States were among the first to start using data fabric software. This generated steady and growing demand for these products almost 20 years ago. It’s also what accounted for a high regional CAGR.
The European Union is also witnessing respectable growth in the data fabric market. It has the second-largest regional market share.
The Asia-Pacific region is expected to have a high regional CAGR until at least the end of 2023. What’s accounting for this high and rapid growth is the fact that more and more companies in the Asia-Pacific nations are using and adopting data fabric software as they modernize and become much more sophisticated. There’s also the fact that many of these economies are growing rapidly. Thus, many more companies are springing up in all industries that need access to data fabric software. This is especially true in India, China, and Japan. In fact, these three countries account for the bulk of the regional CAGR in the Asia-Pacific region.
Data Fabric Market Competitive Landscape:
The data fabric market, in general, is very competitive. What makes it so competitive is the fact that there are already many companies in this market. They’re motivated to enter because of the high CAGR. They are also motivated to enter because there’s a lot of money to be made in this market.
Companies are finding that they have to think and act strategically if they want to survive in this hypercompetitive market. One thing that most companies in this market are doing is investing heavily in research and development. This is allowing them to come up with software programs that are more innovative and much better at storing and retrieving data. These programs are also much better at sifting through and sorting data for further extrapolation and analytical uses.
Companies are finding that entering into strategic partnerships is another way to survive in the hypercompetitive market. Another word for strategic partnerships is a joint venture. The companies that do participate in the joint venture can pool their resources together. This gives them more access to much more monetary, human, and other resources. They find that the extra money makes it easier to invest billions instead of millions in strategic research and development. This is what makes it possible for them to come up with many more effective and useful new generation data fabric software programs that are much more innovative.
This is only one thing that gives companies that participate in a strategic partnership a superior and sustained competitive advantage. The other is that they can access more resources at once. This gives them the ability to enter into new markets on a stronger footing and solidify their market share in existing markets. They find that they’re able to sell more and make even more money when they enter into strategic partnerships.
Yet another way that companies can continue to stay competitive in the hypercompetitive data fabric market is to merge with and acquire other companies, as is the case with strategic partnerships. The new companies often find that they have more access to monetary, human, and other resources than they did previously.
Once again, they are better able to invest heavily in research and development. This allows them to come up with more innovative and better products that do their job faster, much better, and much more efficiently. Companies find that this allows them to enter into new markets on a stronger footing. This gives them a better chance of acquiring a slice of the market. This also allows them to solidify their positions in existing markets.
One major company in the data fabric market is SAP. This is a major German company that’s one of the leaders in the industry. It’s been able to retain its superior position by investing heavily in research and development.
List of Companies:
- SAP SE - Germany
- Informatica - USA
- Splunk Inc - USA
- Denodo - USA
- Syncsort Inc - USA
- IBM Corporation - USA
- Oracle - USA
- Global DS - USA
- Teradata Corporation - USA
- K2 Views - USAA
Recent Developments:
- Retailers are making and selling big data devices
- SAP recently launched a new business application
Report Overview:
The CAGR for the market is over 18%. Many companies around the world are using data fabric software programs. The North American region has the highest regional market share.
Report Scope:
| Report Attribute/Metric | Details |
|---|---|
| Market Size | 2027: Significant Value |
| CAGR | 18% (2017-2023) |
| Base Year | 2019 |
| Forecast Period | 2020-2027 |
| Historical Data | 2018 |
| Forecast Units | Value (USD Billion) |
| Report Coverage | Revenue Forecast, Competitive Landscape, Growth Factors, and Trends |
| Segments Covered | by Type, by Application |
| Geographies Covered | North America, Europe, Asia-Pacific, and Rest of the World (RoW) |
| Key Vendors | SAP SE (Germany), Informatica (U.S.), Splunk Inc. (U.S.), Denodo (U.S.), Syncsort Inc. (U.S.), IBM Corporation (U.S.), Oracle Corporation (U.S.), Global DS (U.S.), Teradata Corporation (U.S.), K2 View (U.S.) |
| Key Market Opportunities | The market in Asia Pacific is expected to grow rapidly over the forecast period. |
| Key Market Drivers |
|
Frequently Asked Questions (FAQ) :
The global data fabric market is predicted to grow at an 18% CAGR between 2017- 2023.
North America will lead the global data fabric market.
In-memory and disk-based are the different types of data fabric.
Growing internet technology and increase in virtualization of network infrastructure are driving the global data fabric market growth.
Key contenders profiled in the global data fabric market include SAP SE (Germany), Informatica (U.S.), Splunk Inc. (U.S.), Denodo (U.S.), Syncsort Inc. (U.S.), IBM Corporation (U.S.), Oracle Corporation (U.S.), Global DS (U.S.), Teradata Corporation (U.S.), and K2 View (U.S.).
TABLE OF CONTENTS
1. Executive Summary
2. Scope of the Report
2.1. Market Definition
2.2. Scope of the Study
2.2.1. Research Objectives
2.2.2. Assumptions & Limitations
2.3. Markets Structure
3. Market Research Methodology
3.1. Research Process
3.2. Secondary Research
3.3. Primary Research
3.4. Forecast Model
4. Market Landscape
4.1. Porter’s Five Forces Analysis
4.1.1. Threat of New Entrants
4.1.2. Bargaining power of buyers
4.1.3. Threat of substitutes
4.1.4. Rivalry
4.1.5. Bargaining Power of Suppliers
4.2. Value Chain/Supply Chain of Data Fabric Market
5. Market Overview of Data Fabric Market
5.1. Introduction
5.2. Growth Drivers
5.3. Impact Analysis
5.4. Market Challenges
6. Market Trends
6.1. Introduction
6.2. Growth Trends
6.3. Impact Analysis
7. Data Fabric Market, by Application
7.1. Introduction
7.2. Business Process Management
7.2.1. Market Estimates & Forecast, 2020-2027
7.2.2. Market Estimates & Forecast, by Region, 2020-2027
7.3. Customer Experience Management
7.3.1. Market Estimates & Forecast, 2020-2027
7.3.2. Market Estimates & Forecast, by Region, 2020-2027
7.4. GRC (Governance, Risk Management, And Compliance) Management
7.4.1. Market Estimates & Forecast, 2020-2027
7.4.2. Market Estimates & Forecast, by Region, 2020-2027
8. Data Fabric Market, by Type
8.1. Introduction
8.2. Disk-Based
8.2.1. Market Estimates & Forecast, 2020-2027
8.2.2. Market Estimates & Forecast, by Region, 2020-2027
8.3. In-Memory
8.3.1. Market Estimates & Forecast, 2020-2027
8.3.2. Market Estimates & Forecast, by Region, 2020-2027
9. Data Fabric Market, by Services
9.1. Introduction
9.2. Managed Services
9.2.1. Market Estimates & Forecast, 2020-2027
9.2.2. Market Estimates & Forecast, by Region, 2020-2027
9.3. Professional Services
9.3.1. Market Estimates & Forecast, 2020-2027
9.3.2. Market Estimates & Forecast, by Region, 2020-2027
10. Data Fabric Market, by Vertical
10.1. Introduction
10.2. BFSI
10.2.1. Market Estimates & Forecast, 2020-2027
10.2.2. Market Estimates & Forecast, by Region, 2020-2027
10.3. Automotive
10.3.1. Market Estimates & Forecast, 2020-2027
10.3.2. Market Estimates & Forecast, by Region, 2020-2027
10.4. Healthcare
10.4.1. Market Estimates & Forecast, 2020-2027
10.4.2. Market Estimates & Forecast, by Region, 2020-2027
10.5. Energy & Utilities
10.5.1. Market Estimates & Forecast, 2020-2027
10.5.2. Market Estimates & Forecast, by Region, 2020-2027
10.6. Media & Entertainment
10.6.1. Market Estimates & Forecast, 2020-2027
10.6.2. Market Estimates & Forecast, by Region, 2020-2027
11. Data Fabric Market, by Region
11.1. Introduction
11.2. North America
11.2.1. Market Estimates & Forecast, by Country 2020-2027
11.2.2. Market Estimates & Forecast, by Application, 2020-2027
11.2.3. Market Estimates & Forecast, by Types, 2020-2027
11.2.4. Market Estimates & Forecast, by Services, 2020-2027
11.2.5. Market Estimates & Forecast, by Vertical, 2020-2027
11.2.6. US
11.2.6.1. Market Estimates & Forecast, by Application, 2020-2027
11.2.6.2. Market Estimates & Forecast, by Types, 2020-2027
11.2.6.3. Market Estimates & Forecast, by Services, 2020-2027
11.2.6.4. Market Estimates & Forecast, by Vertical, 2020-2027
11.2.7. Mexico
11.2.7.1. Market Estimates & Forecast, by Application, 2020-2027
11.2.7.2. Market Estimates & Forecast, by Types, 2020-2027
11.2.7.3. Market Estimates & Forecast, by Services, 2020-2027
11.2.7.4. Market Estimates & Forecast, by Vertical, 2020-2027
11.2.8. Canada
11.2.8.1. Market Estimates & Forecast, by Application, 2020-2027
11.2.8.2. Market Estimates & Forecast, by Types, 2020-2027
11.2.8.3. Market Estimates & Forecast, by Services, 2020-2027
11.2.8.4. Market Estimates & Forecast, by Vertical, 2020-2027
11.3. Europe
11.3.1. Market Estimates & Forecast, by Country 2020-2027
11.3.2. Market Estimates & Forecast, by Application, 2020-2027
11.3.3. Market Estimates & Forecast, by Types, 2020-2027
11.3.4. Market Estimates & Forecast, by Services, 2020-2027
11.3.5. Market Estimates & Forecast, by Vertical, 2020-2027
11.3.6. Germany
11.3.6.1. Market Estimates & Forecast, by Application, 2020-2027
11.3.6.2. Market Estimates & Forecast, by Types, 2020-2027
11.3.6.3. Market Estimates & Forecast, by Services, 2020-2027
11.3.6.4. Market Estimates & Forecast, by Vertical, 2020-2027
11.3.7. France
11.3.7.1. Market Estimates & Forecast, by Application, 2020-2027
11.3.7.2. Market Estimates & Forecast, by Types, 2020-2027
11.3.7.3. Market Estimates & Forecast, by Services, 2020-2027
11.3.7.4. Market Estimates & Forecast, by Vertical, 2020-2027
11.3.8. UK
11.3.8.1. Market Estimates & Forecast, by Application, 2020-2027
11.3.8.2. Market Estimates & Forecast, by Types, 2020-2027
11.3.8.3. Market Estimates & Forecast, by Services, 2020-2027
11.3.8.4. Market Estimates & Forecast, by Vertical, 2020-2027
11.4. Asia-Pacific
11.4.1. Market Estimates & Forecast, by Country 2020-2027
11.4.2. Market Estimates & Forecast, by Application, 2020-2027
11.4.3. Market Estimates & Forecast, by Types, 2020-2027
11.4.4. Market Estimates & Forecast, by Services, 2020-2027
11.4.5. Market Estimates & Forecast, by Vertical, 2020-2027
11.4.6. China
11.4.6.1. Market Estimates & Forecast, by Application, 2020-2027
11.4.6.2. Market Estimates & Forecast, by Types, 2020-2027
11.4.6.3. Market Estimates & Forecast, by Services, 2020-2027
11.4.6.4. Market Estimates & Forecast, by Vertical, 2020-2027
11.4.7. India
11.4.7.1. Market Estimates & Forecast, by Application, 2020-2027
11.4.7.2. Market Estimates & Forecast, by Types, 2020-2027
11.4.7.3. Market Estimates & Forecast, by Services, 2020-2027
11.4.7.4. Market Estimates & Forecast, by Vertical, 2020-2027
11.4.8. Japan
11.4.8.1. Market Estimates & Forecast, by Application, 2020-2027
11.4.8.2. Market Estimates & Forecast, by Types, 2020-2027
11.4.8.3. Market Estimates & Forecast, by Services, 2020-2027
11.4.8.4. Market Estimates & Forecast, by Vertical, 2020-2027
11.4.9. Rest of Asia-Pacific
11.4.9.1. Market Estimates & Forecast, by Application, 2020-2027
11.4.9.2. Market Estimates & Forecast, by Types, 2020-2027
11.4.9.3. Market Estimates & Forecast, by Services, 2020-2027
11.4.9.4. Market Estimates & Forecast, by Vertical, 2020-2027
11.5. Rest of the World
11.5.1. Market Estimates & Forecast, by Country 2020-2027
11.5.2. Market Estimates & Forecast, by Application, 2020-2027
11.5.3. Market Estimates & Forecast, by Types, 2020-2027
11.5.4. Market Estimates & Forecast, by Services, 2020-2027
11.5.5. Market Estimates & Forecast, by Vertical, 2020-2027
11.5.6. Middle East & Africa
11.5.6.1. Market Estimates & Forecast, by Application, 2020-2027
11.5.6.2. Market Estimates & Forecast, by Types, 2020-2027
11.5.6.3. Market Estimates & Forecast, by Services, 2020-2027
11.5.6.4. Market Estimates & Forecast, by Vertical, 2020-2027
11.5.7. Latin Countries
11.5.7.1. Market Estimates & Forecast, by Application, 2020-2027
11.5.7.2. Market Estimates & Forecast, by Types, 2020-2027
11.5.7.3. Market Estimates & Forecast, by Services, 2020-2027
11.5.7.4. Market Estimates & Forecast, by Vertical, 2020-2027
12. Company Profiles
12.1. SAP SE
12.1.1. Company Overview
12.1.2. Application/Business Segment Overview
12.1.3. Financial Updates
12.1.4. Key Developments
12.2. Informatica
12.2.1. Company Overview
12.2.2. Application/Business Segment Overview
12.2.3. Financial Updates
12.2.4. Key Developments
12.3. Splunk Inc.
12.3.1. Company Overview
12.3.2. Application/Business Segment Overview
12.3.3. Financial Updates
12.3.4. Key Developments
12.4. Denodo
12.4.1. Company Overview
12.4.2. Application/Business Segment Overview
12.4.3. Financial Updates
12.4.4. Key Developments
12.5. Syncsort Inc
12.5.1. Company Overview
12.5.2. Application/Business Segment Overview
12.5.3. Financial Updates
12.5.4. Key Developments
12.6. IBM Corporation
12.6.1. Company Overview
12.6.2. Application/Business Segment Overview
12.6.3. Financial Updates
12.6.4. Key Developments
12.7. Oracle Corporation
12.7.1. Company Overview
12.7.2. Application/Business Segment Overview
12.7.3. Financial Updates
12.7.4. Key Developments
12.8. Global DS
12.8.1. Company Overview
12.8.2. Application/Business Segment Overview
12.8.3. Financial Updates
12.8.4. Key Developments
12.9. Teradata Corporation
12.9.1. Company Overview
12.9.2. Application/Business Segment Overview
12.9.3. Financial Updates
12.9.4. Key Developments
13. Conclusion
LIST OF TABLES
Table1 Global Data Fabric Market, By Country, 2020-2027
Table2 North America: Data Fabric Market, By Country, 2020-2027
Table3 Europe: Data Fabric Market, By Country, 2020-2027
Table4 Asia-Pacific: Data Fabric Market, By Country, 2020-2027
Table5 Latin America: Data Fabric Market, By Country, 2020-2027
Table6 North America: Data Fabric Market, By Country
Table7 North America: Data Fabric Market, By Application
Table8 North America: Data Fabric Market, By Type
Table9 North America: Data Fabric Market, By Service
Table10 North America: Data Fabric Market, By Vertical
Table11 Europe: Data Fabric Market, By Country
Table12 Europe: Data Fabric Market, By Application
Table13 Europe: Data Fabric Market, By Type
Table14 Europe: Data Fabric Market, By Service
Table15 Europe: Data Fabric Market, By Vertical
Table16 Asia-Pacific: Data Fabric Market, By Country
Table17 Asia-Pacific Data Fabric Market, By Application
Table18 Asia-Pacific Data Fabric Market, By Type
Table19 Asia-Pacific Data Fabric Market, By Service
Table20 Asia-Pacific Data Fabric Market, By Vertical
Table21 Middle East & Africa: Data Fabric Market, By Country
Table22 Middle East & Africa: Data Fabric Market, By Application
Table23 Middle East & Africa: Data Fabric Market, By Type
Table24 Middle East & Africa: Data Fabric Market, By Service
Table25 Middle East & Africa: Data Fabric Market, By Vertical
Table26 Latin America: Data Fabric Market, By Country
Table27 Latin America: Data Fabric Market, By Application
Table28 Latin America: Data Fabric Market, By Type
Table29 Latin America: Data Fabric Market, By Service
Table30 Latin America: Data Fabric Market, By Vertical
LIST OF FIGURES
Figure 1 Global Data Fabric Market segmentation
Figure 2 Forecast Methodology
Figure 3 Porter’s Five Forces Analysis of Global Data Fabric Market
Figure 4 Value Chain of Global Data Fabric Market
Figure 5 Share of Data Fabric Market in 2020, by country (in %)
Figure 6 Global Data Fabric Market, 2020-2027
Figure 7 Global Data Fabric Market Size, by Application, 2020-2027
Figure 8 Share of Global Data Fabric Market, by Application, 2020
Figure 9 Global Data Fabric Market Size, by Type, 2020-2027
Figure 10 Share of Global Data Fabric Market, by Type, 2020
Figure 11 Global Data Fabric Market Size, by Service, 2020-2027
Figure 12 Share of Global Data Fabric Market, by Service, 2020
Figure 13 Global Data Fabric Market Size, by Vertical, 2020-2027
Figure 14 Share of Global Data Fabric Market, by Vertical, 2020