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The Banking, Financial Services, and Insurance (BFSI) vertical is expected to hold the largest share of the data fabric market in 2017. The growth is fueled by the growing need of people to simplify their workload related to security, and their increasing dependence on data generated from various IT systems used for financial transactions. The manufacturing vertical is projected to grow at the highest CAGR during the forecast period due to the increasing need to manage data coming from various connected machines and Others IT systems, such as supply chain management.
Global Data Fabric market is projected to reach US$ 1870 million in 2029, increasing from US$ 695 million in 2022, with the CAGR of 15.1% during the period of 2023 to 2029. Influencing issues, such as economy environments, COVID-19 and Russia-Ukraine War, have led to great market fluctuations in the past few years and are considered comprehensively in the whole Data Fabric market research.
Major business applications for which the data fabric is utilized are fraud detection and security management; governance, risk, and compliance management; customer experience management; sales and marketing management; and business process management. The adoption of data fabric for business process management is expected to increase significantly in the coming years because of the increasing need for resolving business process-related issues in real time and the need for streamlining operations across industries.
Report Scope
This report, based on historical analysis (2018-2022) and forecast calculation (2023-2029), aims to help readers to get a comprehensive understanding of global Data Fabric market with multiple angles, which provides sufficient supports to readers’ strategy and decision making.
By Company
Segment by Type
Segment by Application
By Region
The Data Fabric report covers below items:
Chapter 1: Product Basic Information (Definition, Type and Application)
Chapter 2: Global market size, regional market size. Market Opportunities and Challenges
Chapter 3: Companies’ Competition Patterns
Chapter 4: Product Type Analysis
Chapter 5: Product Application Analysis
Chapter 6 to 10: Country Level Value Analysis
Chapter 11: Companies' Outline
Chapter 12: Market Conclusions
Chapter 13: Research Methodology and Data Source
1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Data Fabric Market Size Growth Rate by Type: 2018 VS 2022 VS 2029
1.2.2 Disk-based data fabric
1.2.3 In-memory data fabric
1.3 Market by Application
1.3.1 Global Data Fabric Market Growth by Application: 2018 VS 2022 VS 2029
1.3.2 Banking, Financial Services, and Insurance (BFSI)
1.3.3 Telecommunications and IT
1.3.4 Retail and ecommerce
1.3.5 Healthcare and life sciences
1.3.6 Manufacturing
1.3.7 Government
1.3.8 Energy and utilities
1.3.9 Media and entertainment
1.3.10 Others
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Data Fabric Market Perspective (2018-2029)
2.2 Data Fabric Growth Trends by Region
2.2.1 Global Data Fabric Market Size by Region: 2018 VS 2022 VS 2029
2.2.2 Data Fabric Historic Market Size by Region (2018-2023)
2.2.3 Data Fabric Forecasted Market Size by Region (2024-2029)
2.3 Data Fabric Market Dynamics
2.3.1 Data Fabric Industry Trends
2.3.2 Data Fabric Market Drivers
2.3.3 Data Fabric Market Challenges
2.3.4 Data Fabric Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Data Fabric Players by Revenue
3.1.1 Global Top Data Fabric Players by Revenue (2018-2023)
3.1.2 Global Data Fabric Revenue Market Share by Players (2018-2023)
3.2 Global Data Fabric Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Data Fabric Revenue
3.4 Global Data Fabric Market Concentration Ratio
3.4.1 Global Data Fabric Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Data Fabric Revenue in 2022
3.5 Data Fabric Key Players Head office and Area Served
3.6 Key Players Data Fabric Product Solution and Service
3.7 Date of Enter into Data Fabric Market
3.8 Mergers & Acquisitions, Expansion Plans
4 Data Fabric Breakdown Data by Type
4.1 Global Data Fabric Historic Market Size by Type (2018-2023)
4.2 Global Data Fabric Forecasted Market Size by Type (2024-2029)
5 Data Fabric Breakdown Data by Application
5.1 Global Data Fabric Historic Market Size by Application (2018-2023)
5.2 Global Data Fabric Forecasted Market Size by Application (2024-2029)
6 North America
6.1 North America Data Fabric Market Size (2018-2029)
6.2 North America Data Fabric Market Growth Rate by Country: 2018 VS 2022 VS 2029
6.3 North America Data Fabric Market Size by Country (2018-2023)
6.4 North America Data Fabric Market Size by Country (2024-2029)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Data Fabric Market Size (2018-2029)
7.2 Europe Data Fabric Market Growth Rate by Country: 2018 VS 2022 VS 2029
7.3 Europe Data Fabric Market Size by Country (2018-2023)
7.4 Europe Data Fabric Market Size by Country (2024-2029)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific Data Fabric Market Size (2018-2029)
8.2 Asia-Pacific Data Fabric Market Growth Rate by Region: 2018 VS 2022 VS 2029
8.3 Asia-Pacific Data Fabric Market Size by Region (2018-2023)
8.4 Asia-Pacific Data Fabric Market Size by Region (2024-2029)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America Data Fabric Market Size (2018-2029)
9.2 Latin America Data Fabric Market Growth Rate by Country: 2018 VS 2022 VS 2029
9.3 Latin America Data Fabric Market Size by Country (2018-2023)
9.4 Latin America Data Fabric Market Size by Country (2024-2029)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Data Fabric Market Size (2018-2029)
10.2 Middle East & Africa Data Fabric Market Growth Rate by Country: 2018 VS 2022 VS 2029
10.3 Middle East & Africa Data Fabric Market Size by Country (2018-2023)
10.4 Middle East & Africa Data Fabric Market Size by Country (2024-2029)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Denodo Technologies (US)
11.1.1 Denodo Technologies (US) Company Detail
11.1.2 Denodo Technologies (US) Business Overview
11.1.3 Denodo Technologies (US) Data Fabric Introduction
11.1.4 Denodo Technologies (US) Revenue in Data Fabric Business (2018-2023)
11.1.5 Denodo Technologies (US) Recent Development
11.2 Global IDS (US)
11.2.1 Global IDS (US) Company Detail
11.2.2 Global IDS (US) Business Overview
11.2.3 Global IDS (US) Data Fabric Introduction
11.2.4 Global IDS (US) Revenue in Data Fabric Business (2018-2023)
11.2.5 Global IDS (US) Recent Development
11.3 IBM (US)
11.3.1 IBM (US) Company Detail
11.3.2 IBM (US) Business Overview
11.3.3 IBM (US) Data Fabric Introduction
11.3.4 IBM (US) Revenue in Data Fabric Business (2018-2023)
11.3.5 IBM (US) Recent Development
11.4 Informatica (US)
11.4.1 Informatica (US) Company Detail
11.4.2 Informatica (US) Business Overview
11.4.3 Informatica (US) Data Fabric Introduction
11.4.4 Informatica (US) Revenue in Data Fabric Business (2018-2023)
11.4.5 Informatica (US) Recent Development
11.5 Oracle Corp (US)
11.5.1 Oracle Corp (US) Company Detail
11.5.2 Oracle Corp (US) Business Overview
11.5.3 Oracle Corp (US) Data Fabric Introduction
11.5.4 Oracle Corp (US) Revenue in Data Fabric Business (2018-2023)
11.5.5 Oracle Corp (US) Recent Development
11.6 SAP SE (Germany)
11.6.1 SAP SE (Germany) Company Detail
11.6.2 SAP SE (Germany) Business Overview
11.6.3 SAP SE (Germany) Data Fabric Introduction
11.6.4 SAP SE (Germany) Revenue in Data Fabric Business (2018-2023)
11.6.5 SAP SE (Germany) Recent Development
11.7 Software AG (Germany)
11.7.1 Software AG (Germany) Company Detail
11.7.2 Software AG (Germany) Business Overview
11.7.3 Software AG (Germany) Data Fabric Introduction
11.7.4 Software AG (Germany) Revenue in Data Fabric Business (2018-2023)
11.7.5 Software AG (Germany) Recent Development
11.8 Splunk (US)
11.8.1 Splunk (US) Company Detail
11.8.2 Splunk (US) Business Overview
11.8.3 Splunk (US) Data Fabric Introduction
11.8.4 Splunk (US) Revenue in Data Fabric Business (2018-2023)
11.8.5 Splunk (US) Recent Development
11.9 Talend (US)
11.9.1 Talend (US) Company Detail
11.9.2 Talend (US) Business Overview
11.9.3 Talend (US) Data Fabric Introduction
11.9.4 Talend (US) Revenue in Data Fabric Business (2018-2023)
11.9.5 Talend (US) Recent Development
11.10 VMware (US)
11.10.1 VMware (US) Company Detail
11.10.2 VMware (US) Business Overview
11.10.3 VMware (US) Data Fabric Introduction
11.10.4 VMware (US) Revenue in Data Fabric Business (2018-2023)
11.10.5 VMware (US) Recent Development
11.11 Hewlett Packard Enterprise (US)
11.11.1 Hewlett Packard Enterprise (US) Company Detail
11.11.2 Hewlett Packard Enterprise (US) Business Overview
11.11.3 Hewlett Packard Enterprise (US) Data Fabric Introduction
11.11.4 Hewlett Packard Enterprise (US) Revenue in Data Fabric Business (2018-2023)
11.11.5 Hewlett Packard Enterprise (US) Recent Development
11.12 Teradata Corp (US)
11.12.1 Teradata Corp (US) Company Detail
11.12.2 Teradata Corp (US) Business Overview
11.12.3 Teradata Corp (US) Data Fabric Introduction
11.12.4 Teradata Corp (US) Revenue in Data Fabric Business (2018-2023)
11.12.5 Teradata Corp (US) Recent Development
11.13 K2View (Israel)
11.13.1 K2View (Israel) Company Detail
11.13.2 K2View (Israel) Business Overview
11.13.3 K2View (Israel) Data Fabric Introduction
11.13.4 K2View (Israel) Revenue in Data Fabric Business (2018-2023)
11.13.5 K2View (Israel) Recent Development
11.14 NetApp (US)
11.14.1 NetApp (US) Company Detail
11.14.2 NetApp (US) Business Overview
11.14.3 NetApp (US) Data Fabric Introduction
11.14.4 NetApp (US) Revenue in Data Fabric Business (2018-2023)
11.14.5 NetApp (US) Recent Development
11.15 Tervela
11.15.1 Tervela Company Detail
11.15.2 Tervela Business Overview
11.15.3 Tervela Data Fabric Introduction
11.15.4 Tervela Revenue in Data Fabric Business (2018-2023)
11.15.5 Tervela Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.2 Data Source
13.2 Disclaimer
Published By : QY Research