Data Fabric Market Size, Share & Segmentation by Deployment (On-premises and 0n-cloud), by Organization Size (Large and SMEs), by Type (In-Memory Data Fabric and Disk-based Data Fabric), by Application (Customer Experience Management, Fraud Detection Management, Business Process Management, Asset Management, Others), by End-user (IT & Telecom, Manufacturing, BFSI, Healthcare, Others), by Regions and Global Market Forecast 2023-2030
Report Id: SNS/ICT/2326 | July 2022 | Region: Global | 128 Pages
Report Scope & Overview:
The Data Fabric Market size was valued at USD 1.69 Bn in 2022 and is expected to reach USD 10.72 Bn by 2030, and grow at a CAGR of 25.89% over the forecast period 2023-2030.
Data fabric is an architecture and a set of data services that provide resources across a network of endpoints. These resources span numerous cloud environments as well as an on-premises cloud environment. Data fabric is a collection of data placement, file data analysis, data management, and service-level specification. The service delivers a comprehensive and consistent cloud data service for data access, security, data insights, and visibility. It's a strong architecture that standardizes data management techniques and capabilities across cloud, on-premises, and edge devices. Data visibility and insights, data access and control, data protection, and security are just a few of the numerous benefits that a data fabric provides. A data fabric is, at its heart, an adaptable, flexible, and secure integrated data architecture.
In many respects, a data fabric offers a new strategic approach to your business storage operation, combining the best of cloud, core, and edge storage. It can connect to any location while staying centrally controlled, including on-premises, public and private clouds, edge and IoT devices. Through a data fabric, you can maximize the value of your corporate data by providing users with access to the correct data at the right time, regardless of where it is kept. A data fabric design is agnostic to data environments, data processes, data consumption, and geography while incorporating essential data management capabilities. It automates data discovery, governance, and consumption, resulting in business-ready data for analytics and artificial intelligence.
HPE GreenLake for Data Fabric, a new hybrid cloud data management solution aimed to address issues associated with data silos, was presented in June 2022. The new service, which complements a new private cloud solution revealed by HPE at its annual Discover conference, is built on technology acquired by HPE with its 2019 acquisition of MapR.
MARKET DYNAMICS:
KEY DRIVERS:
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Growing amount and diversity of business data.
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Business agility and accessibility are becoming increasingly important.
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Real-time streaming analytics are becoming increasingly popular.
RESTRAINTS:
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Unawareness of the data fabric.
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Inadequate integration with outdated systems.
OPPORTUNITY:
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Getting a good return on investment
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Cloud adoption is increasing.
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In-memory computing progress
CHALLENGES:
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Disinterest in investing in new technology.
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insufficiently skilled workforce.
IMPACT OF COVID-19:
The COVID-19 epidemic has caused organizations to look for innovative ways to recover quickly while also paying attention to the critical necessity to access adequate data in times of disaster. Furthermore, banks have moved to remote sales and support personnel and started digital outreach to clients in order to offer flexible payment plans for loans and mortgages. Grocery shops' principal business is now online ordering and delivery. Many schools have implemented online learning and digital classrooms. These methods have resulted in an increase in the quantity and variety of corporate data. Thus, the rising need for corporate agility and data accessibility, as well as the rising demand for real-time streaming analytics, are among the drivers driving the data fabric market's expansion.
MARKET ESTIMATION:
The Data Fabric Market is divided into two segments based on deployment: on-premises and on-cloud. During the projection period, on-premises are predicted to have the biggest market share. Many companies that are concerned about data loss, privacy breaches, and security breaches prefer on-premises deployments of data management systems, which is why on-premises deployments are more commonly used.
The Data Fabric Market is divided into two segments based on organization size: large and SMEs. Large firms have a larger market share, and the market for small and medium-sized businesses is predicted to grow faster throughout the projection period. SMEs are more concerned about business continuity, and Data Fabric solutions may help them become more productive, efficient, and marketable, as well as enhance other elements of their operations.
The Data Fabric Market is divided into five applications: Customer Experience Management, Fraud Detection Management, Business Process Management, Asset Management, and Others. In 2021, Business Process Management held the largest market share, and it will drive market expansion over the projected period. Businesses that use BPM may align their business operations with the demands of their customers, monitor and measure corporate resources, cut expenses, and eliminate mistakes and hazards. BPM may be used to increase efficiency and production, lower costs, and eliminate mistakes.
The Data Fabric Market is divided into two types: in-memory data fabric and disk-based data fabric. In 2021, the Disk-based Data Fabric had the most market share. A disk-based data fabric has various benefits, including managed, governed, and secured data. A data warehouse also enables users to access data whenever it is required for their applications, as well as move data and applications to lower the cost of ownership and data compliance.
KEY MARKET SEGMENTS:
On The Basis of Deployment
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On-premises
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On-cloud
On The Basis of Organization Size
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Large
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SME’s
On The Basis of Type
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In-Memory Data Fabric
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Disk-based Data Fabric
On The Basis of Application
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Customer Experience Management
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Fraud Detection Management
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Business Process Management
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Asset Management
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Others
On The Basis of End-user
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IT & Telecom
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Manufacturing
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BFSI
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Healthcare
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Others
REGIONAL ANALYSIS:
North America dominates the data fabric market and will continue to do so throughout the forecast period due to the presence of technologically advanced data fabric software firms and a rise in the number of new product launches in this region. Due to the quick growth of innovative technologies and the spike in the adoption rate of data fabric software in this area, Asia-Pacific will have the highest CAGR for this period.
REGIONAL COVERAGE:
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North America
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USA
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Canada
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Mexico
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Europe
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Germany
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UK
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France
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Italy
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Spain
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The Netherlands
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Rest of Europe
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Asia-Pacific
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Japan
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south Korea
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China
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India
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Australia
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Rest of Asia-Pacific
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The Middle East & Africa
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Israel
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UAE
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South Africa
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Rest of Middle East & Africa
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Latin America
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Brazil
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Argentina
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Rest of Latin America
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KEY PLAYERS:
The major key players are Denodo Technologies, Global IDs Inc., Hewlett Packard Enterprise Development LP, International Business Machines Corporation, NetApp, Inc., Oracle Corporation, SAP SE Software AG, Splunk Inc., Talend S.A.
| Report Attributes | Details |
|---|---|
| Market Size in 2022 | US$ 1.69 Billion |
| Market Size by 2030 | US$ 10.72 Billion |
| CAGR | CAGR of 25.89% From 2023 to 2030 |
| Base Year | 2022 |
| Forecast Period | 2023-2030 |
| Historical Data | 2020-2021 |
| Report Scope & Coverage | Market Size, Segments Analysis, Competitive Landscape, Regional Analysis, DROC & SWOT Analysis, Forecast Outlook |
| Key Segments | • By Deployment (On-premises and 0n-cloud) • By Organization Size (Large and SMEs) • By Type (In-Memory Data Fabric and Disk-based Data Fabric) • By Application (Customer Experience Management, Fraud Detection Management, Business Process Management, Asset Management, Others) • By End-user (IT & Telecom, Manufacturing, BFSI, Healthcare, Others) |
| Regional Analysis/Coverage | North America (USA, Canada, Mexico), Europe (Germany, UK, France, Italy, Spain, Netherlands, Rest of Europe), Asia-Pacific (Japan, South Korea, China, India, Australia, Rest of Asia-Pacific), The Middle East & Africa (Israel, UAE, South Africa, Rest of Middle East & Africa), Latin America (Brazil, Argentina, Rest of Latin America) |
| Company Profiles | Denodo Technologies, Global IDs Inc., Hewlett Packard Enterprise Development LP, International Business Machines Corporation, NetApp, Inc., Oracle Corporation, SAP SE Software AG, Splunk Inc., Talend S.A. |
| KEY DRIVERS | • Growing amount and diversity of business data. • Business agility and accessibility are becoming increasingly important. • Real-time streaming analytics are becoming increasingly popular. |
| Restraints | • Unawareness of the data fabric. • Inadequate integration with outdated systems. |
Frequently Asked Questions (FAQ) :
What will be the estimated market size for the Data Fabric market for the year 2028?
Ans: - The estimated market size for the Data Fabric market for the year 2028 is USD 6.81 Bn.
What are the major factors that are driving the Data Fabric market?
Ans: - Growing amount and diversity of business data and business agility and accessibility are becoming increasingly important.
Which segments are covered in the Data Fabric Market report for study?
Ans: - The segments covered in the Data Fabric Market report for study are On the Basis of Deployment, Organization Size, Type, Application, and End-user.
Which region will grow at fastest rate in terms of market share for the Data Fabric Market during the forecast period?
Ans: - Asia-Pacific will have the highest CAGR for this period.
What are the most important growth tactics for Data Fabric Market Players?
Ans: - The primary growth tactics of Data Fabric market participants include merger and acquisition, business expansion, and product launch.
Table of Contents
1. Introduction
1.1 Market Definition
1.2 Scope
1.3 Research Assumptions
2. Research Methodology
3. Market Dynamics
3.1 Drivers
3.2 Restraints
3.3 Opportunities
3.4 Challenges
4. Impact Analysis
4.1 COVID-19 Impact Analysis
4.2 Impact of Ukraine- Russia war
4.3 Impact of ongoing Recession
4.3.1 Introduction
4.3.2 Impact on major economies
4.3.2.1 US
4.3.2.2 Canada
4.3.2.3 Germany
4.3.2.4 France
4.3.2.5 United Kingdom
4.3.2.6 China
4.3.2.7 Japan
4.3.2.8 South Korea
4.3.2.9 Rest of the World
5. Value Chain Analysis
6. Porter’s 5 forces model
7. PEST Analysis
8. Data Fabric Market Segmentation, by Deployment
8.1 On-premises
8.2 On-cloud
9. Data Fabric Market Segmentation, by Organization Size
9.1 Large
9.2 SME’s
10. Data Fabric Market Segmentation, by Type
10.1 In-Memory Data Fabric
10.2 Disk-based Data Fabric
11. Data Fabric Market Segmentation, by Application
11.1 Customer Experience Management
11.2 Fraud Detection Management
11.3 Business Process Management
11.4 Asset Management
11.5 Others
12. Data Fabric Market Segmentation, by End-user
12.1 IT & Telecom
12.2 Manufacturing
12.3 BFSI
12.4 Healthcare
12.5 Others
13. Regional Analysis
13.1 Introduction
13.2 North America
13.2.1 USA
13.2.2 Canada
13.2.3 Mexico
13.3 Europe
13.3.1 Germany
13.3.2 UK
13.3.3 France
13.3.4 Italy
13.3.5 Spain
13.3.6 The Netherlands
13.3.7 Rest of Europe
13.4 Asia-Pacific
13.4.1 Japan
13.4.2 South Korea
13.4.3 China
13.4.4 India
13.4.5 Australia
13.4.6 Rest of Asia-Pacific
13.5 The Middle East & Africa
13.5.1 Israel
13.5.2 UAE
13.5.3 South Africa
13.5.4 Rest
13.6 Latin America
13.6.1 Brazil
13.6.2 Argentina
13.6.3 Rest of Latin America
14. Company Profiles
14.1 Oracle Corporation
14.1.1 Financial
14.1.2 Products/ Services Offered
14.1.3 SWOT Analysis
14.1.4 The SNS view
14.2 International Business Machines Corporation
14.3 Splunk Inc.
14.4 Global IDs Inc.
14.5 Talend S.A.
14.6 Software AG
14.7 Denodo Technologies
14.8 SAP SE
14.9 NetApp, Inc.
14.10 Hewlett Packard Enterprise Development LP
15. Competitive Landscape
15.1 Competitive Benchmarking
15.2 Market Share Analysis
15.3 Recent Developments
16. Conclusion
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