DUBLIN–(BUSINESS WIRE)–The “Data Fabric Market Research Report by Component (Services and Software), Type, Organization Size, Business Application, Deployment Mode, Vertical, Region (Americas, Asia-Pacific, and Europe, Middle East & Africa) – Global Forecast to 2027 – Cumulative Impact of COVID-19” report has been added to ResearchAndMarkets.com’s offering.

The Global Data Fabric Market size was estimated at USD 1,233.44 million in 2021, USD 1,550.52 million in 2022, and is projected to grow at a Compound Annual Growth Rate (CAGR) of 25.88% to reach USD 4,908.44 million by 2027.

In this report, the years 2019 and 2020 are considered historical years, 2021 as the base year, 2022 as the estimated year, and years from 2023 to 2027 are considered the forecast period.

Competitive Strategic Window:

The Competitive Strategic Window analyses the competitive landscape in terms of markets, applications, and geographies to help the vendor define an alignment or fit between their capabilities and opportunities for future growth prospects.

It describes the optimal or favorable fit for the vendors to adopt successive merger and acquisition strategies, geography expansion, research & development, and new product introduction strategies to execute further business expansion and growth during a forecast period.

FPNV Positioning Matrix:

The FPNV Positioning Matrix evaluates and categorizes the vendors in the Data Fabric Market based on Business Strategy (Business Growth, Industry Coverage, Financial Viability, and Channel Support) and Product Satisfaction (Value for Money, Ease of Use, Product Features, and Customer Support) that aids businesses in better decision making and understanding the competitive landscape.

Market Share Analysis:

The Market Share Analysis offers the analysis of vendors considering their contribution to the overall market. It provides the idea of its revenue generation into the overall market compared to other vendors in the space. It provides insights into how vendors are performing in terms of revenue generation and customer base compared to others.

Knowing market share offers an idea of the size and competitiveness of the vendors for the base year. It reveals the market characteristics in terms of accumulation, fragmentation, dominance, and amalgamation traits.

Competitive Scenario:

The Competitive Scenario provides an outlook analysis of the various business growth strategies adopted by the vendors. The competitive scenario represents press releases or news of the companies categorized into Merger & Acquisition, Agreement, Collaboration, & Partnership, New Product Launch & Enhancement, Investment & Funding, and Award, Recognition, & Expansion. All the news collected help vendor to understand the gaps in the marketplace and competitor’s strength and weakness thereby, providing insights to enhance product and service.

Cumulative Impact of COVID-19:

The report delivers insights on COVID-19 considering the changes in consumer behavior and demand, purchasing patterns, re-routing of the supply chain, dynamics of current market forces, and the significant interventions of governments. The updated study provides insights, analysis, estimations, and forecasts, considering the COVID-19 impact on the market.

Company Usability Profiles:

  • Cinchy
  • Cluedin
  • Dell Technologies
  • Denodo Technologies
  • Global IDS
  • Gluent
  • Hexstream
  • HPE
  • IBM
  • Idera
  • Iguazio
  • Informatica
  • Netapp, Inc.
  • Nexla
  • Oracle
  • Precisely
  • Qomplx
  • SAP
  • Software Ag
  • Splunk, Inc.
  • Starburst Data
  • Stardog
  • Talend
  • Teradata
  • Tibco Software

Key Topics Covered:

1. Preface

2. Research Methodology

3. Executive Summary

4. Market Overview

5. Market Insights

5.1. Market Dynamics

5.1.1. Drivers Easy integration, and centralized access to multi-sourced data across an organization Availability of real-time information and the easy replacement of legacy systems without disrupting business processes Necessity of the data fabric architecture is the thresholds of traditional data management options

5.1.2. Restraints Lack of infrastructure for data fibres intensity, and capability of responding to market changes, or in predicting risks or cyber-attacks, or in streamlining business processes requires the matching infrastructure of data fabric

5.1.3. Opportunities Helps in enhancement of hybrid cloud to embrace newer customer channels and novel technology-driven opportunities Facilitating AI-drive technologies for business management

5.1.4. Challenges Effect of scaling the large available data leading to increasing information loss and administrative cost of maintaining clustered systems

5.2. Cumulative Impact of COVID-19

5.3. Cumulative Impact of 2022 Russia Ukraine Conflict

6. Data Fabric Market, by Component

6.1. Introduction

6.2. Services

6.3. Software

7. Data Fabric Market, by Type

7.1. Introduction

7.2. Disk-Based Data Fabric

7.3. In-Memory Data Fabric

8. Data Fabric Market, by Organization Size

8.1. Introduction

8.2. Large Enterprises

8.3. Small and Medium-Sized Enterprises

9. Data Fabric Market, by Business Application

9.1. Introduction

9.2. Business Process Management

9.3. Customer Experience Management

9.4. Fraud Detection and Security Management

9.5. Governance, Risk, and Compliance Management

9.6. Sales and Marketing Management

10. Data Fabric Market, by Deployment Mode

10.1. Introduction

10.2. Cloud

10.3. On-Premises

11. Data Fabric Market, by Vertical

11.1. Introduction

11.2. Banking, Financial Services, and Insurance

11.3. Energy and Utilities

11.4. Government

11.5. Healthcare and Life Sciences

11.6. Manufacturing

11.7. Media and Entertainment

11.8. Retail and E-Commerce

11.9. Telecommunications and IT

12. Americas Data Fabric Market

12.1. Introduction

12.2. Argentina

12.3. Brazil

12.4. Canada

12.5. Mexico

12.6. United States

13. Asia-Pacific Data Fabric Market

13.1. Introduction

13.2. Australia

13.3. China

13.4. India

13.5. Indonesia

13.6. Japan

13.7. Malaysia

13.8. Philippines

13.9. Singapore

13.10. South Korea

13.11. Taiwan

13.12. Thailand

14. Europe, Middle East & Africa Data Fabric Market

14.1. Introduction

14.2. France

14.3. Germany

14.4. Italy

14.5. Netherlands

14.6. Qatar

14.7. Russia

14.8. Saudi Arabia

14.9. South Africa

14.10. Spain

14.11. United Arab Emirates

14.12. United Kingdom

15. Competitive Landscape

15.1. FPNV Positioning Matrix

15.2. Market Ranking Analysis

15.3. Market Share Analysis, By Key Player

15.4. Competitive Scenario

16. Company Usability Profiles

For more information about this report visit https://www.researchandmarkets.com/r/3a0tty



Laura Wood, Senior Press Manager

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