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Data Fabric Market Report Scope & Overview:

The Data Fabric Market Size was valued at USD 2.20 Billion in 2023 and is expected to reach USD 17.83 Billion by 2031 and grow at a CAGR of 29.9 % over the forecast period 2024-2031.

Data Fabric is a comprehensive solution for data management and integration, providing real-time information to global employees. Its strong architecture supports cloud, on-premises, and edge devices, catering to diverse data sources. Market growth is fueled by cloud adoption, positive ROI, and demand for scalable solutions.

Data Fabric Market Revenue Analysis

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Advanced fabric architectures enable seamless integration across data silos, revolutionizing data collection and analysis. Securing data is crucial, driven by global regulations and customer trust, with Data Fabric offering robust security features. Challenges such as a skilled workforce shortage, lack of awareness, and deployment costs hinder market growth to some extent.

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. 

Market Dynamics

Drivers:

  • The rapid adoption of cloud computing by businesses.

  • Increasing demand for scalable data management solutions.

  • Positive ROI from implementing data fabric solutions.

  • Real-time streaming analytics are becoming increasingly popular.

  • Evolution of data fabric technology to support diverse data sources.

  • Enhanced security features addressing global data protection regulations.

Data fabric presents unique opportunities by integrating and analyzing diverse datasets that might otherwise be overlooked, leveraging the evolution of digital technologies across business functions such as HR, finance, operations, and supply chain to drive market growth. The exponential growth of data from sources such as social media, weblogs, sensors, and machine data underscores the importance of data fabric solutions for real-time insights. With data fabric, firms can seamlessly handle and analyze large volumes of data from various sources in one place, deriving value from structured and unstructured data while providing centralized access through a unified view across organizations. This shift is Driven by the requirement for scalable data management solutions capable of managing huge amounts of data from various origins efficiently. As organizations generate increasingly complex and voluminous data, scalable data management solutions such as data fabric are important to ensure smooth integration, instant access, and efficient utilization of data assets. Embracing these scalable data management solutions not only optimizes operations but also encourages businesses to utilize advanced analytics, machine learning, and AI-driven insights for improved decision-making and gaining a competitive edge.

Restraints:

  • Lack of skilled workforce for data fabric implementation.

  • Limited awareness among businesses about data fabric solutions.

  • High initial deployment costs for data fabric architectures.

The challenges of a lack of skilled personnel for data fabric implementation and limited awareness among businesses about data fabric solutions highlight critical barriers to adopting this advanced data management technology. Without a proficient workforce, companies may struggle to effectively deploy and utilize data fabric systems, hindering their ability to harness the full potential of their data assets. Additionally, the lack of awareness about data fabric solutions can lead to missed opportunities for organizations to optimize their data management processes, improve decision-making, and enhance operational efficiency. Overcoming these challenges requires investment in training programs to develop skilled professionals and concerted efforts to raise awareness about the benefits and capabilities of data fabric solutions across industries.

Opportunities:

  • Growing market for cloud-based data fabric solutions.

  • Potential for vendors to offer innovative data fabric services.

  • Rising demand for real-time data integration and access.

  • Market expansion in regions with increasing data protection regulations.

Challenges:

  • Shortage of skilled professionals for data fabric management.

  • Limited awareness about the benefits of data fabric solutions.

  • High upfront costs for deploying data fabric architectures.

Impact of Russia-Ukraine War

The Russia-Ukraine war has a notable impact on the Data Fabric Market, with disruptions in the global supply chain affecting the availability of critical hardware components such as servers, storage devices, and networking equipment. This results in increasing prices and delays in data fabric implementation projects, impacting market growth. The geopolitical tensions have increased concerns about data security and privacy, leading to increased investments in cybersecurity solutions within the data fabric ecosystem. Estimates suggest that the war-related disruptions could result in a 10-15% slowdown in the growth rate of the data fabric market for the next year.

Impact of Economic Downturn:

During an economic downturn, the Data Fabric Market may experience a slowdown in growth due to reduced IT budgets and spending constraints among businesses. Companies may prioritize essential investments over data fabric solutions, leading to delayed or scaled-down implementation projects. Estimates suggest that a significant economic downturn could result in a 20-25% decrease in the growth rate of the data fabric market for the fiscal year. However, the downturn could also drive demand for cost-effective data management solutions, prompting some organizations to adopt data fabric as a means of optimizing operations and reducing expenses in the long term.

Market segmentation

By Component:

  • Solutions

  • Services

By Organization Size

  • Large Enterprises

  • SMEs

By Type

  • Disk-based

  • In-memory

By Deployment Mode

  • On-premises

  • Cloud

On the basis of Deployment, The Cloud segment Dominates the market with holding the largest share, due to its efficiency, flexibility, and choice, meeting enterprises' evolving needs. With companies expanding AI  (artificial intelligence) and advanced analytics projects on the cloud, they gain better data-driven insights in competitive markets. The on-premises deployments, requiring substantial upfront investments and operational costs, are expected to have a smaller market share by the forecast period's end. Their implementation is also more time-consuming due to individual server and computer installations, as seen with SAP's release of SAP Data Intelligence 3.1, an on-premises version with enhanced features.

By Applications

  • Fraud Detection & Security Management

  • Government, Risk & Compliance Management

  • Sales & Marketing Management

  • Business Process Management

  • Customer Intelligence

  • Preventative Maintenance Analysis

  • Others

By Verticals

  • BFSI

  • Government, Defense & Public Agencies

  • Manufacturing

  • Healthcare & Life Sciences

  • Energy & Mining

  • Telecom

  • Media & Entertainment

  • Retail & eCommerce

  • Others

On the basis of vertical, the BFSI sector dominates the market with holding revenue share of more than 21% a growing emphasis on targeted insights, enhanced user experiences, and advanced analytic capabilities from various data sources, driving attention toward these tools. Healthcare and life sciences sectors are experiencing significant data generation, Driving market expansion. Retail is shifting towards digital platforms, necessitating robust data management solutions for comprehensive data and storage strategies. Government sectors are rapidly adopting digital technologies, contributing to market growth, while the IT and telecommunications industry's data-driven growth is also positively impacting the market landscape.

Data-Fabric-Market-Trend-by-Vertica

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Regional Analysis

North America region Dominates the global data fabric market with holding Revenue share of more than 41%, driven by its advanced adoption of digital technologies across sectors such as BFSI, telecom & IT, healthcare, and manufacturing. The region's well-established economy and substantial investments in digital infrastructure further fuel its rapid growth. North America's openness to innovation and stringent data protection regulations offer significant market opportunities for data fabric vendors, especially with the increasing adoption of AI, IoT, and big data technologies.

The Asia Pacific region is expected to grow with the fastest CAGR, Driven by a increasing number of data centers and a strong push towards digitization, particularly in countries such as China with substantial data center adoption rates.

Data-Fabric-Market-By-Region

REGIONAL COVERAGE:

North America

  • US

  • Canada

  • Mexico

Europe

  • Eastern Europe

    • Poland

    • Romania

    • Hungary

    • Turkey

    • Rest of Eastern Europe

  • Western Europe

    • Germany

    • France

    • UK

    • Italy

    • Spain

    • Netherlands

    • Switzerland

    • Austria

    • Rest of Western Europe

Asia Pacific

  • China

  • India

  • Japan

  • South Korea

  • Vietnam

  • Singapore

  • Australia

  • Rest of Asia Pacific

Middle East & Africa

  • Middle East

    • UAE

    • Egypt

    • Saudi Arabia

    • Qatar

    • Rest of the Middle East

  • Africa

    • Nigeria

    • South Africa

    • Rest of Africa

Latin America

  • Brazil

  • Argentina

  • Colombia

  • 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., Alex Solutions, and other players mentioned in the final report.

NetApp Inc - Company Financial Analysis

Company Landscape Analysis

Recent Development:

  • In October 2022, Informatica, a leading enterprise cloud data management company, proudly announced its partnership with Microsoft Intelligent Data Platform Partner Ecosystem as one of the initial partners. This collaboration was unveiled during Microsoft Ignite 2022, showcasing the joint effort of both companies to assist enterprises in effectively implementing AI using reliable and regulated data.

  • In July 2022, IBM made headlines with its acquisition of Databand.ai, a prominent provider of data observability software. This innovative software aids organizations in identifying and resolving data issues such as errors, pipeline failures, and poor quality before they impact the company's financial performance.

  • Informatica continued to make waves in June 2022 by revealing that the Informatica Enterprise Data Integrator would now be available on the Snowflake Marketplace as an Accelerated Program partner for the Snowflake Native Application Framework. This partnership, previously in private preview, allows Snowflake customers to seamlessly integrate enterprise data sources from platforms like Google, Microsoft, Oracle, Salesforce, and SAP through the IDMC platform directly from their existing Snowflake accounts.

  • June 2022, HPE introduced HPE GreenLake for Data Fabric, a comprehensive managed service that combines the industry's first hybrid analytics-ready data fabric with HPE GreenLake hardware, software, and services. This service empowers IT professionals with a centralized view to manage and monitor distributed data effectively. Powered by HPE Ezmeral Data Fabric, this innovative solution unifies files, objects, NoSQL databases, and real-time and batch streams across various locations, enhancing data integrity by eliminating errors and duplicate files.

Data Fabric Market Report Scope:

Report Attributes Details
Market Size in 2023  US$ 2.20 Billion
Market Size by 2031  US$ 17.83 Billion
CAGR  CAGR of 29.9 % From 2024 to 2031
Base Year  2023
Forecast Period  2024-2031
Historical Data  2020-2022
Report Scope & Coverage Market Size, Segments Analysis, Competitive  Landscape, Regional Analysis, DROC & SWOT Analysis, Forecast Outlook
Key Segments • By Component (Solutions, Services)
• By Organization Size (Large Enterprises, SMEs)
• By Type (Disk-based, In-memory)
• By Deployment Mode (On-premises, Cloud)
• By Applications (Fraud Detection & Security Management, Government, Risk & Compliance Management, Sales & Marketing Management, Business Process Management, Customer Intelligence, Preventative Maintenance Analysis, Others)
• By Verticals (BFSI, Government, Defense & Public Agencies, Manufacturing, Healthcare & Life Sciences, Energy & Mining, Telecom, Media & Entertainment, Retail & eCommerce, 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 • The rapid adoption of cloud computing by businesses.

• Increasing demand for scalable data management solutions.

Restraints • Lack of skilled workforce for data fabric implementation.
• Limited awareness among businesses about data fabric solutions.

Frequently Asked Questions

Ans. The Compound Annual Growth rate for the Data Fabric Market over the forecast period is 29.9%.

Ans. The projected market size for the Data Fabric Market is USD 17.83 billion by 2031. 

Ans: The BFSI Vertical segment dominated the Data Fabric Market.

Ans: North America region is dominant in Data Fabric Market.

Ans:

  • Growing market for cloud-based data fabric solutions.
  • Potential for vendors to offer innovative data fabric services.
  • Rising demand for real-time data integration and access.

TABLE OF CONTENTS

 

1. Introduction

1.1 Market Definition

1.2 Scope

1.3 Research Assumptions

 

2. Industry Flowchart

 

3. Research Methodology

 

4. Market Dynamics

4.1 Drivers

4.2 Restraints

4.3 Opportunities

4.4 Challenges

 

5. Impact Analysis

5.1 Impact of Russia-Ukraine Crisis

5.2 Impact of Economic Slowdown on Major Countries

5.2.1 Introduction

5.2.2 United States

5.2.3 Canada

5.2.4 Germany

5.2.5 France

5.2.6 UK

5.2.7 China

5.2.8 Japan

5.2.9 South Korea

5.2.10 India

 

6. Value Chain Analysis

 

7. Porter’s 5 Forces Model

 

8.  Pest Analysis

 

9. Data Fabric Market, By Component

9.1 Introduction

9.2 Trend Analysis

9.3 Solution

9.4 Service

 

10. Data Fabric Market, By Organization Size

10.1 Introduction

10.2 Trend Analysis

10.3 Large Enterprises

10.4 SMEs

 

11. Data Fabric Market, By Type

11.1 Introduction

11.2 Trend Analysis

11.3 Disk-based

11.4 In-memory

 

12. Data Fabric Market, By Deployment Mode

12.1 Introduction

12.2 Trend analysis

12.3 On-premises

12.4 Cloud

 

13. Data Fabric Market, By application

13.1 Introduction

13.2 Trend analysis

13.3 Fraud Detection & Security Management

13.4 Government, Risk & Compliance Manage13.5 ment

13.6 Sales & Marketing Management

13.7 Business Process Management

13.8 Customer Intelligence

13.9 Preventative Maintenance Analysis

13.10 Others

 

14. Data Fabric Market, By Verticals

14.1 Introduction

14.2 Trend analysis

14.3 BFSI

14.4 Government, Defense & Public Agencies

14.5 Manufacturing

14.6 Healthcare & Life Sciences

14.7 Energy & Mining

14.8 Telecom

14.9 Media & Entertainment

14.10 Retail & eCommerce

14.11 Others

 

15. Regional Analysis

15.1 Introduction

15.2 North America

15.2.1 USA

15.2.2 Canada

15.2.3 Mexico

15.3 Europe

15.3.1 Eastern Europe

15.3.1.1 Poland

15.3.1.2 Romania

15.3.1.3 Hungary

15.3.1.4 Turkey

15.3.1.5 Rest of Eastern Europe

15.3.2 Western Europe

15.3.2.1 Germany

15.3.2.2 France

15.3.2.3 UK

15.3.2.4 Italy

15.3.2.5 Spain

15.3.2.6 Netherlands

15.3.2.7 Switzerland

15.3.2.8 Austria

15.3.2.10 Rest of Western Europe

15.4 Asia-Pacific

15.4.1 China

15.4.2 India

15.4.3 Japan

15.4.4 South Korea

15.4.5 Vietnam

15.4.6 Singapore

15.4.7 Australia

15.4.8 Rest of Asia Pacific

15.5 The Middle East & Africa

15.5.1 Middle East

15.5.1.1 UAE

15.5.1.2 Egypt

15.5.1.3 Saudi Arabia

15.5.1.4 Qatar

15.5.1.5 Rest of the Middle East

15.5.2 Africa

15.5.2.1 Nigeria

15.5.2.2 South Africa

15.5.2.3 Rest of Africa

15.6 Latin America

15.6.1 Brazil

15.6.2 Argentina

15.6.3 Colombia

15.6.4 Rest of Latin America

 

16. Company Profiles

16.1 Denodo Technologies

16.1.1 Company Overview

16.1.2 Financials

16.1.3 Products/ Services Offered

16.1.4 SWOT Analysis

16.1.5 The SNS View

16.2 Global IDs Inc.

16.2.1 Company Overview

16.2.2 Financials

16.2.3 Products/ Services Offered

16.2.4 SWOT Analysis

16.2.5 The SNS View

16.3 Hewlett Packard Enterprise Development LP

16.3.1 Company Overview

16.3.2 Financials

16.3.3 Products/ Services Offered

16.3.4 SWOT Analysis

16.3.5 The SNS View

16.4 International Business Machines Corporation

16.4 Company Overview

16.4.2 Financials

16.4.3 Products/ Services Offered

16.4.4 SWOT Analysis

16.4.5 The SNS View

16.5 NetApp, Inc.

16.5.1 Company Overview

16.5.2 Financials

16.5.3 Products/ Services Offered

16.5.4 SWOT Analysis

16.5.5 The SNS View

16.6 Oracle Corporation

16.6.1 Company Overview

16.6.2 Financials

16.6.3 Products/ Services Offered

16.6.4 SWOT Analysis

16.6.5 The SNS View

16.7 SAP SE Software AG

16.7.1 Company Overview

16.7.2 Financials

16.7.3 Products/ Services Offered

16.7.4 SWOT Analysis

16.7.5 The SNS View

16.8 Splunk Inc.

16.8.1 Company Overview

16.8.2 Financials

16.8.3 Products/ Services Offered

16.8.4 SWOT Analysis

16.8.5 The SNS View

16.9 Talend S.A.

16.9.1 Company Overview

16.9.2 Financials

16.9.3 Products/ Services Offered

16.9.4 SWOT Analysis

16.9.5 The SNS View

16.10 Alex Solutions.

16.10.1 Company Overview

16.10.2 Financials

16.10.3 Products/ Services Offered

16.10.4 SWOT Analysis

16.10.5 The SNS View

 

17. Competitive Landscape

17.1 Competitive Benchmarking

17.2 Market Share Analysis

17.3 Recent Developments

17.3.1 Industry News

17.3.2 Company News

17.3.3 Mergers & Acquisitions

 

18. USE Cases and Best Practices

 

19. Conclusion

An accurate research report requires proper strategizing as well as implementation. There are multiple factors involved in the completion of good and accurate research report and selecting the best methodology to compete the research is the toughest part. Since the research reports we provide play a crucial role in any company’s decision-making process, therefore we at SNS Insider always believe that we should choose the best method which gives us results closer to reality. This allows us to reach at a stage wherein we can provide our clients best and accurate investment to output ratio.

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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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