Data Fabric Market - Global Industry Analysis

Data Fabric Market - By Type (Disk-Based and In-Memory), By Service (Professional and Managed), By Vertical (Automotive, Manufacturing, and BFSI) And By Region- Global Industry Perspective, Comprehensive Analysis, and Forecast, 2020 – 2026

Published Date: 17-May-2021 Category: Technology & Media Report Format : PDF Pages: 147 Report Code: ZMR-6264 Status : Published

The global Data Fabric market accrued earnings worth approximately 1.2(USD Billion) in 2019 and is predicted to gain revenue of about 5.3(USD Billion) by 2026, is set to record a CAGR of nearly 28% over the period from 2020 to 2026.

Description

Global Data Fabric Market Overview

The global Data Fabric market accrued earnings worth approximately 1.2(USD Billion) in 2019 and is predicted to gain revenue of about 5.3(USD Billion) by 2026, is set to record a CAGR of nearly 28% over the period from 2020 to 2026. The report offers assessment and analysis of the Data Fabric market on a global and regional level. The study offers a comprehensive assessment of the market competition, constraints, revenue estimates, opportunities, evolving trends, and industry-validated data. The report provides historical data from 2017 to 2019 along with a forecast from 2020 to 2026 based on revenue (USD Billion).

Data Fabric Market: Synopsis

In simple language, data fabric is defined as an environment comprising of unified architecture, services, and technologies that assist the firms in effectively handling the information. Furthermore, data fabric helps in optimizing the data value along with accelerating data transformation digitally. It provides seamless integrated hybrid cloud solutions for data visualization along with offering security to the data. Moreover, data fabric links to any kind of data source through pre-packaged components & connectors, thereby annihilating the coding requirement. Apart from this, it offers functionalities such as data integration & data ingestion abilities for data source.

In addition to this, data fabric aids big data analytics and batch as well as real-time data processing. Apparently, it effectively handles multi-cloud, on-premises cloud, and hybrid cloud environments. Additionally, data fabric also provides in-built data quality, data governance abilities, and data preparation capabilities with the help of machine learning algorithms. It also aids data sharing with external & internal stake-owners through support of API interface.  

Global Data Fabric Market

Data Fabric Market: Growth Factors

The expansion of data fabric industry over forecast timespan is due to its ability to offer single environment to the firms to access & gather all the data irrespective of its location and storage destination. In addition to this, data fabric facilitates unified data management activities such as data integration, data governance, and data sharing through elimination of multiple tools along with giving access to credible & authentic data. Furthermore, its ability of delivering scalability so that the firms can adapt to voluminous data will further proliferate the expansion of data fabric industry in the coming years.

Moreover, beneficial features offered by data fabric such as its ability to support on-premise cloud, multi-cloud, and hybrid cloud deployments as well as migration between different cloud environments will define the growth of data fabric industry over 2020-2026. The ability of data fabric in detecting fraudulent incidences as well as offloading data warehouses will offer new growth avenues for data fabric industry over the ensuing years.

North American Data Fabric Market To Witness Exponential Growth By 2026

The regional market expansion during forecast timespan can be credited to rise in the acceptance of data management tools in North America. In addition to this, large-scale private & government funding for developing more proficient data virtualization systems in Canada and the U.S. will expand the growth of data fabric industry over the upcoming years. Additionally, large-scale presence of reputed vendors in the sub-continent will further contribute towards the regional market size. Rapid acceptance of IoT driven techniques by many of the firms based in the U.S. will steer the business growth in North America over the years ahead.

Report Scope :

Report Attribute Details
Base Year 2020
Historic Years 2016 - 2020
Forecast Years 2021 - 2028
Segments Covered By Product Type, By Application, and By End Use
Forecast Units Value (USD Billion), and Volume (Units)
Quantitative Units Revenue in USD million/billion and CAGR from 2021 to 2028
Regions Covered North America, Europe, Asia Pacific, Latin America, and Middle East & Africa, and Rest of World
Countries Covered U.S., Canada, Mexico, U.K., Germany, France, Italy, Spain, China, India, Japan, South Korea, Brazil, Argentina, GCC Countries, and South Africa, among others
Number of Companies Covered 10 companies with scope for including additional 15 companies upon request
Report Coverage Market growth drivers, restraints, opportunities, Porter’s five forces analysis, PEST analysis, value chain analysis, regulatory landscape, market attractiveness analysis by segments and region, company market share analysis, and COVID-19 impact analysis.
Customization Scope Avail customized purchase options to meet your exact research needs.

Key players profiled in the study include NetApp Inc., International Business Machines Corporation, Oracle Corporation, Splunk Corporation, Denodo Technologies, Hewlett Packard Enterprise, Teradata, Software AG, VMware, Inc., and Informatica Corporation.

The global Data Fabric Market is segmented as follows:

By Vertical

  • Manufacturing
  • BFSI
  • Automotive

By Type

  • Disk-Based
  • In-Memory

By Service

  • Professional
  • Managed

By Region

  • North America
    • The U.S.
    • Canada
  • Europe
    • France
    • The UK
    • Spain
    • Germany
    • Italy
    • Rest of Europe
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Southeast Asia
    • Rest of Asia Pacific
  • Latin America
    • Brazil
    • Mexico
    • Rest of Latin America
  • Middle East & Africa
    • GCC
    • South Africa
    • Rest of Middle East & Africa

Table Of Content

  • Chapter 1. Preface
    • 1.1. Report Description and Scope
    • 1.2. Research Scope
    • 1.3. Research Methodology
      • 1.3.1. Market Research Type
      • 1.3.2. Market Research Methodology
  • Chapter 2. Executive Summary
    • 2.1. Data Fabric Market, 2016–2026(USD Billion)
    • 2.2. Data Fabric Market: Snapshot
  • Chapter 3. Global Data Fabric Market– Vertical Analysis
    • 3.1. Data Fabric Market: Market Dynamics
    • 3.2. Market Drivers
      • 3.2.1. The expansion of data fabric industry over forecast timespan is due to its ability to offer single environment to the firms to access & gather all the data irrespective of its location and storage destination.
      • 3.2.2. The ability of data fabric in delivering scalability so that the firms can adapt to vuluminous data will further pruliferate the expansion of data fabric industry in the coming years.
    • 3.3. Porter’s Five Forces Analysis
    • 3.4. Market Attractiveness Analysis
      • 3.4.1. Market attractiveness analysis By Vertical
      • 3.4.2. Market attractiveness analysis By Type
      • 3.4.3. Market attractiveness analysis By Service
  • Chapter 4. Global Data Fabric Market– Competitive Landscape
    • 4.1. Company market share analysis
      • 4.1.1. Global Data Fabric Market: company market share, 2019
    • 4.2. Strategic development
      • 4.2.1. Acquisitions & mergers
      • 4.2.2. New Technology launches
      • 4.2.3. Agreements, partnerships, cullaborations, and joint ventures
      • 4.2.4. Research and development and Regional expansion
    • 4.3. Price trend analysis
  • Chapter 5. Global Data Fabric Market– Vertical Analysis
    • 5.1. Global Data Fabric Market overview: By Vertical
      • 5.1.1. Global Data Fabric Market share, By Vertical , 2019 and 2026
    • 5.2. Manufacturing
      • 5.2.1. Global Data Fabric Market by Manufacturing, 2016–2026(USD Billion)
    • 5.3. Automotive
      • 5.3.1. Global Data Fabric Market by Automotive, 2016–2026(USD Billion)
    • 5.4. BFSI
      • 5.4.1. Global Data Fabric Market by BFSI, 2016–2026(USD Billion)
  • Chapter 6. Global Data Fabric Market– Type Analysis
    • 6.1. Global Data Fabric Market overview: By Type
      • 6.1.1. Global Data Fabric Market share, By Type, 2019 and 2026
    • 6.2. Disk-Based
      • 6.2.1. Global Data Fabric Market by Disk-Based, 2016–2026(USD Billion)
    • 6.3. In-Memory
      • 6.3.1. Global Data Fabric Market by In-Memory, 2016–2026(USD Billion)
  • Chapter 7. Global Data Fabric Market– Service Analysis
    • 7.1. Global Data Fabric Market overview: By Service
      • 7.1.1. Global Data Fabric Market share, By Service, 2019 and 2026
    • 7.2. Professional
      • 7.2.1. Global Data Fabric Market by Professional, 2016–2026(USD Billion)
    • 7.3. Managed
      • 7.3.1. Global Data Fabric Market by Managed, 2016–2026(USD Billion)
  • Chapter 8. Company Profiles
    • 8.1. NetApp Inc.
      • 8.1.1. Overview
      • 8.1.2. Financials
      • 8.1.3. Technology Portfolio
      • 8.1.4. Business Strategy
      • 8.1.5. Recent Developments
    • 8.2. International Business Machines Corporation
      • 8.2.1. Overview
      • 8.2.2. Financials
      • 8.2.3. Technology Portfolio
      • 8.2.4. Business Strategy
      • 8.2.5. Recent Developments
    • 8.3. Oracle Corporation
      • 8.3.1. Overview
      • 8.3.2. Financials
      • 8.3.3. Technology Portfolio
      • 8.3.4. Business Strategy
      • 8.3.5. Recent Development
    • 8.4. Splunk Corporation
      • 8.4.1. Overview
      • 8.4.2. Financials
      • 8.4.3. Technology Portfolio
      • 8.4.4. Business Strategy
      • 8.4.5. Recent Development
    • 8.5. Denodo Technulogies
      • 8.5.1. Overview
      • 8.5.2. Financials
      • 8.5.3. Technology Portfolio
      • 8.5.4. Business Strategy
      • 8.5.5. Recent Development
    • 8.6. Hewlett Packard Enterprise
      • 8.6.1. Overview
      • 8.6.2. Financials
      • 8.6.3. Technology Portfolio
      • 8.6.4. Business Strategy
      • 8.6.5. Recent Development
    • 8.7. Teradata
      • 8.7.1. Overview
      • 8.7.2. Financials
      • 8.7.3. Technology Portfolio
      • 8.7.4. Business Strategy
      • 8.7.5. Recent Development
    • 8.8. VMware, Inc.
      • 8.8.1. Overview
      • 8.8.2. Financials
      • 8.8.3. Technology Portfolio
      • 8.8.4. Business Strategy
      • 8.8.5. Recent Development
    • 8.9. Informatica Corporation
      • 8.9.1. Overview
      • 8.9.2. Financials
      • 8.9.3. Technology Portfolio
      • 8.9.4. Business Strategy
      • 8.9.5. Recent Development
    • 8.10. Software AG
      • 8.10.1. Overview
      • 8.10.2. Financials
      • 8.10.3. Technology Portfolio
      • 8.10.4. Business Strategy
      • 8.10.5. Recent Development

Table Of Figures

List of Figures

1. Market research Type
2. Market research methodology
3. Global Data Fabric Market, 2016–2026(USD Billion)
4. Porter’s Five Forces Analysis
5. Global Data Fabric Marketattractiveness, By Vertical
6. Global Data Fabric Marketattractiveness, By Type
7. Global Data Fabric Marketattractiveness, By Service
8. Global Data Fabric Marketshare by Vertical ,2019 and 2026 (USD Billion)
9. Global Data Fabric Marketby Manufacturing, 2016–2026(USD Billion)
10. Global Data Fabric Marketby Automotive, 2016–2026(USD Billion)
11. Global Data Fabric Marketby BFSI, 2016–2026(USD Billion)
12. Global Data Fabric Marketshare by Type ,2019 and 2026 (USD Billion)
13. Global Data Fabric Marketby Disk-Based, 2016–2026(USD Billion)
14. Global Data Fabric Marketby In-Memory, 2016–2026(USD Billion)
15. Global Data Fabric Marketshare by Service,2019 and 2026 (USD Billion)
16. Global Data Fabric Marketby Professional, 2016–2026(USD Billion)
17. Global Data Fabric Marketby Managed, 2016–2026(USD Billion)
18. Global Data Fabric Marketshare, by Region, 2019 and 2026
19. North America Data Fabric Market, 2016–2026(USD Billion)
20. Europe Data Fabric Market, 2016–2026(USD Billion)
21. Asia Pacific Data Fabric Market, 2016–2026(USD Billion)
22. Latin America Data Fabric Market, 2016–2026(USD Billion)
23. The Middle East and Africa Data Fabric Market, 2016–2026(USD Billion)


Table Of Tables

List of Tables

1. Global Data Fabric Market: snapshot
2. Drivers of the Data Fabric Market: impact analysis
3. North America Data Fabric Market revenue, By Vertical  ,2016–2026(USD Billion)
4. North America Data Fabric Market revenue, By Type  ,2016–2026(USD Billion)
5. North America Data Fabric Market revenue, By Service  ,2016–2026(USD Billion)
6. The U.S. Data Fabric Market revenue, By Vertical  ,2016–2026(USD Billion)
7. The U.S. Data Fabric Market revenue, By Type  ,2016–2026(USD Billion)
8. The U.S. Data Fabric Market revenue, By Service  ,2016–2026(USD Billion)
9. Rest of North America Data Fabric Market revenue, By Vertical  ,2016–2026(USD Billion)
10. Rest of North America Data Fabric Market revenue, By Type  ,2016–2026(USD Billion)
11. Rest of North America Data Fabric Market revenue, By Service  ,2016–2026(USD Billion)
12. Europe Data Fabric Market revenue, By Vertical  ,2016–2026(USD Billion)
13. Europe Data Fabric Market revenue, By Type  ,2016–2026(USD Billion)
14. Europe Data Fabric Market revenue, By Service  ,2016–2026(USD Billion)
15. UK Data Fabric Market revenue, By Vertical  ,2016–2026(USD Billion)
16. UK Data Fabric Market revenue, By Type  ,2016–2026(USD Billion)
17. UK Data Fabric Market revenue, By Service  ,2016–2026(USD Billion)
18. France Data Fabric Market revenue, By Vertical  ,2016–2026(USD Billion)
19. France Data Fabric Market revenue, By Type  ,2016–2026(USD Billion)
20. France Data Fabric Market revenue, By Service  ,2016–2026(USD Billion)
21. Germany Data Fabric Market revenue, By Vertical  ,2016–2026(USD Billion)
22. Germany Data Fabric Market revenue, By Type  ,2016–2026(USD Billion)
23. Germany Data Fabric Market revenue, By Service  ,2016–2026(USD Billion)
24. Rest of Europe Data Fabric Market revenue, By Vertical  ,2016–2026(USD Billion)
25. Rest of Europe Data Fabric Market revenue, By Type  ,2016–2026(USD Billion)
26. Rest of Europe Data Fabric Market revenue, By Service  ,2016–2026(USD Billion)
27. Asia Pacific Data Fabric Market revenue, By Vertical  ,2016–2026(USD Billion)
28. Asia Pacific Data Fabric Market revenue, By Type  ,2016–2026(USD Billion)
29. Asia Pacific Data Fabric Market revenue, By Service  ,2016–2026(USD Billion)
30. China Data Fabric Market revenue, By Vertical  ,2016–2026(USD Billion)
31. China Data Fabric Market revenue, By Type  ,2016–2026(USD Billion)
32. China Data Fabric Market revenue, By Service  ,2016–2026(USD Billion)
33. Japan Data Fabric Market revenue, By Vertical  ,2016–2026(USD Billion)
34. Japan Data Fabric Market revenue, By Type  ,2016–2026(USD Billion)
35. Japan Data Fabric Market revenue, By Service  ,2016–2026(USD Billion)
36. India Data Fabric Market revenue, By Vertical  ,2016–2026(USD Billion)
37. India Data Fabric Market revenue, By Type  ,2016–2026(USD Billion)
38. India Data Fabric Market revenue, By Service  ,2016–2026(USD Billion)
39. Rest of Asia Pacific Data Fabric Market revenue, By Vertical  ,2016–2026(USD Billion)
40. Rest of Asia Pacific Data Fabric Market revenue, By Type  ,2016–2026(USD Billion)
41. Rest of Asia Pacific Data Fabric Market revenue, By Service  ,2016–2026(USD Billion)
42. Latin America Data Fabric Market revenue, By Vertical  ,2016–2026(USD Billion)
43. Latin America Data Fabric Market revenue, By Type  ,2016–2026(USD Billion)
44. Latin America Data Fabric Market revenue, By Service  ,2016–2026(USD Billion)
45. Brazil Data Fabric Market revenue, By Vertical  ,2016–2026(USD Billion)
46. Brazil Data Fabric Market revenue, By Type  ,2016–2026(USD Billion)
47. Brazil Data Fabric Market revenue, By Service  ,2016–2026(USD Billion)
48. Rest of Latin America Data Fabric Market revenue, By Vertical  ,2016–2026(USD Billion)
49. Rest of Latin America Data Fabric Market revenue, By Type  ,2016–2026(USD Billion)
50. Rest of Latin America Data Fabric Market revenue, By Service  ,2016–2026(USD Billion)
51. The Middle East and Africa Data Fabric Market revenue, By Vertical  ,2016–2026(USD Billion)
52. The Middle East and Africa Data Fabric Market revenue, By Type  ,2016–2026(USD Billion)
53. The Middle East and Africa Data Fabric Market revenue, By Service  ,2016–2026(USD Billion)
54. Saudi Arabia Data Fabric Market revenue, By Vertical  ,2016–2026(USD Billion)
55. Saudi Arabia Data Fabric Market revenue, By Type  ,2016–2026(USD Billion)
56. Saudi Arabia Data Fabric Market revenue, By Service  ,2016–2026(USD Billion)
57. South Africa Data Fabric Market revenue, By Vertical  ,2016–2026(USD Billion)
58. South Africa Data Fabric Market revenue, By Type  ,2016–2026(USD Billion)
59. South Africa Data Fabric Market revenue, By Service  ,2016–2026(USD Billion)
60. Rest of the Middle East & Africa Data Fabric Market revenue, By Vertical  ,2016–2026(USD Billion)
61. Rest of the Middle East & Africa Data Fabric Market revenue, By Type  ,2016–2026(USD Billion)
62. Rest of the Middle East & Africa Data Fabric Market revenue, By Service  ,2016–2026(USD Billion)

 
 

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FrequentlyAsked Questions

The expansion of data fabric industry over forecast timespan is due to its ability to offer single environment to the firms to access & gather all the data irrespective of its location and storage destination. In addition to this, data fabric facilitates unified data management activities such as data integration, data governance, and data sharing through elimination of multiple tools along with giving access to credible & authentic data. Furthermore, its ability of delivering scalability so that the firms can adapt to voluminous data will further proliferate the expansion of data fabric industry in the coming years.

Moreover, beneficial features offered by data fabric such as its ability to support on-premise cloud, multi-cloud, and hybrid cloud deployments as well as migration between different cloud environments will define the growth of data fabric industry over 2020-2026.

According to Zion market research report, the global Data Fabric market accrued earnings worth approximately 1.2(USD Billion) in 2019 and is predicted to gain revenue of about 5.3(USD Billion) by 2026, is set to record a CAGR of nearly 28% over the period from 2020 to 2026.

North America will contribute lucratively towards the global market size over the estimated timeline. The regional market surge is owing to rise in the acceptance of data management tools in North America. In addition to this, large-scale private & government funding for developing more proficient data virtualization systems in Canada and the U.S. will expand the growth of data fabric industry over the upcoming years. Additionally, large-scale presence of reputed vendors in the sub-continent will further contribute towards the regional market size. Rapid acceptance of IoT driven techniques by many of the firms based in the U.S. will steer the business growth in North America over the years ahead.

The key market participants include NetApp Inc., International Business Machines Corporation, Oracle Corporation, Splunk Corporation, Denodo Technologies, Hewlett Packard Enterprise, Teradata, Software AG, VMware, Inc., and Informatica Corporation.

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