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Report Scope & Overview:

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.

Data Fabric Market Revenue Analysis

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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:

  • 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.

OPPORTUNITY:

  • Getting a good return on investment

  • Cloud adoption is increasing.

  • In-memory computing progress

CHALLENGES:

  • Disinterest in investing in new technology.

  • 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 2022, 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 2022, 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

  • On-premises

  • On-cloud

On The Basis of Organization Size   

  • Large

  • SME’s

On The Basis of Type

  • In-Memory Data Fabric

  • Disk-based Data Fabric

On The Basis of Application 

  • Customer Experience Management

  • Fraud Detection Management

  • Business Process Management

  • Asset Management

  • Others

On The Basis of End-user      

  • IT & Telecom

  • Manufacturing

  • BFSI

  • Healthcare

  • Others

Data Fabric Market Segmentation Analysis

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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:

  • North America

    • USA

    • Canada

    • Mexico

  • Europe

    • Germany

    • UK

    • France

    • Italy

    • Spain

    • The 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

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. and Other Players

NetApp Inc - Company Financial Analysis

Data Fabric Market Report Scope:
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

Ans: - The estimated market size for the Data Fabric market for the year 2030 is USD 10.72 Bn.

Ans: - Growing amount and diversity of business data and business agility and accessibility are becoming increasingly important.

 Ans: - The Data Fabric Market size is to grow at a CAGR of 25.89% over the forecast period 2023-2030.

Ans: - Asia-Pacific will have the highest CAGR for this period.

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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The 5 steps process:

Step 1: Secondary Research:

Secondary Research or Desk Research is as the name suggests is a research process wherein, we collect data through the readily available information. In this process we use various paid and unpaid databases which our team has access to and gather data through the same. This includes examining of listed companies’ annual reports, Journals, SEC filling etc. Apart from this our team has access to various associations across the globe across different industries. Lastly, we have exchange relationships with various university as well as individual libraries.

Secondary Research

Step 2: Primary Research

When we talk about primary research, it is a type of study in which the researchers collect relevant data samples directly, rather than relying on previously collected data.  This type of research is focused on gaining content specific facts that can be sued to solve specific problems. Since the collected data is fresh and first hand therefore it makes the study more accurate and genuine.

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This step involves the triangulation of data wherein our team analyses the interview transcripts, online survey responses and observation of on filed participants. The below mentioned chart should give a better understanding of the part 1 of the primary interview.

Primary Research

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Data Bank Validation

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