The global Data Fabric Solutions market size is expected to reach $ 7476.4 million by 2030, rising at a market growth of 22.6% CAGR during the forecast period (2024-2030).
The data fabric market refers to the technology that enables seamless integration, management, and movement of data across various platforms, applications, and devices. It provides a unified view of data, making it easier for organizations to access and utilize their data assets. The data fabric market is growing rapidly, driven by various factors such as the increasing volume and variety of data, the need for real-time data insights, and the rise of cloud computing and hybrid IT environments. Companies are recognizing the importance of data as a strategic asset and are investing in data fabric solutions to derive valuable insights, enhance decision-making, and improve business outcomes. One of the key trends in the data fabric market is the adoption of Artificial Intelligence (AI) and Machine Learning (ML) technologies. By leveraging AI/ML algorithms, data fabric solutions can automate data integration, cleansing, and enrichment processes, enabling organizations to derive meaningful insights from large volumes of data in real-time. This trend is particularly prominent in industries such as healthcare, finance, and retail, where real-time analytics and personalized customer experiences are crucial. Another trend is the increasing adoption of cloud-based data fabric solutions. Cloud computing offers scalability, cost-effectiveness, and agility, making it an ideal platform for data fabric implementations. Cloud-based data fabric solutions can seamlessly connect on-premises and cloud-based data sources, enabling organizations to leverage the benefits of both environments. Privacy and security are also becoming major concerns in the data fabric market. With data being constantly moved and shared across various platforms and devices, organizations are focusing on ensuring data privacy and protection. Data fabric solutions that provide end-to-end encryption, access controls, and data governance capabilities are gaining traction in the market. In summary, the data fabric market is growing rapidly, driven by factors such as the increasing volume and variety of data, the need for real-time insights, and the rise of cloud computing. Adoption of AI/ML technologies, cloud-based solutions, and a focus on privacy and security are key trends in the market.
Data fabric is an architecture that facilitates the end-to-end integration of various data pipelines and cloud environments through the use of intelligent and automated systems.
This report studies the global Data Fabric Solutions demand, key companies, and key regions.
This report is a detailed and comprehensive analysis of the world market for Data Fabric Solutions, and provides market size (US$ million) and Year-over-Year (YoY) growth, considering 2023 as the base year. This report explores demand trends and competition, as well as details the characteristics of Data Fabric Solutions that contribute to its increasing demand across many markets.
Highlights and key features of the study
Global Data Fabric Solutions total market, 2019-2030, (USD Million)
Global Data Fabric Solutions total market by region & country, CAGR, 2019-2030, (USD Million)
U.S. VS China: Data Fabric Solutions total market, key domestic companies and share, (USD Million)
Global Data Fabric Solutions revenue by player and market share 2019-2024, (USD Million)
Global Data Fabric Solutions total market by Type, CAGR, 2019-2030, (USD Million)
Global Data Fabric Solutions total market by Application, CAGR, 2019-2030, (USD Million).
This reports profiles major players in the global Data Fabric Solutions market based on the following parameters 鈥� company overview, revenue, gross margin, product portfolio, geographical presence, and key developments. Key companies covered as a part of this study include Denodo Technologies (US), Global IDS (US), IBM (US), Informatica (US), Oracle Corp (US), SAP SE (Germany), Software AG (Germany), Splunk (US) and Talend (US), etc.
This report also provides key insights about market drivers, restraints, opportunities, new product launches or approvals.
Stakeholders would have ease in decision-making through various strategy matrices used in analyzing the World Data Fabric Solutions market.
Detailed Segmentation:
Each section contains quantitative market data including market by value (US$ Millions), by player, by regions, by Type, and by Application. Data is given for the years 2019-2030 by year with 2023 as the base year, 2024 as the estimate year, and 2025-2030 as the forecast year.
Global Data Fabric Solutions Market, By Region:
United States
China
Europe
Japan
South Korea
ASEAN
India
Rest of World
Global Data Fabric Solutions Market, Segmentation by Type
Disk-based Data Fabric
In-memory Data Fabric
Global Data Fabric Solutions Market, Segmentation by Application
BFSI
Telecommunications and IT
Retail and ecommerce
Healthcare and life sciences
Manufacturing
Government
Energy and utilities
Media and entertainment
Others
Companies Profiled:
Denodo Technologies (US)
Global IDS (US)
IBM (US)
Informatica (US)
Oracle Corp (US)
SAP SE (Germany)
Software AG (Germany)
Splunk (US)
Talend (US)
VMware (US)
Hewlett Packard Enterprise (US)
Teradata Corp (US)
K2View (Israel)
NetApp (US)
Tervela
Key Questions Answered
1. How big is the global Data Fabric Solutions market?
2. What is the demand of the global Data Fabric Solutions market?
3. What is the year over year growth of the global Data Fabric Solutions market?
4. What is the total value of the global Data Fabric Solutions market?
5. Who are the major players in the global Data Fabric Solutions market?
Please Note - This is an on demand report and will be delivered in 2 business days (48 Hours) post payment.
1 Supply Summary
1.1 Data Fabric Solutions Introduction
1.2 World Data Fabric Solutions Market Size & Forecast (2019 & 2023 & 2030)
1.3 World Data Fabric Solutions Total Market by Region (by Headquarter Location)
1.3.1 World Data Fabric Solutions Market Size by Region (2019-2030), (by Headquarter Location)
1.3.2 United States Data Fabric Solutions Market Size (2019-2030)
1.3.3 China Data Fabric Solutions Market Size (2019-2030)
1.3.4 Europe Data Fabric Solutions Market Size (2019-2030)
1.3.5 Japan Data Fabric Solutions Market Size (2019-2030)
1.3.6 South Korea Data Fabric Solutions Market Size (2019-2030)
1.3.7 ASEAN Data Fabric Solutions Market Size (2019-2030)
1.3.8 India Data Fabric Solutions Market Size (2019-2030)
1.4 Market Drivers, Restraints and Trends
1.4.1 Data Fabric Solutions Market Drivers
1.4.2 Factors Affecting Demand
1.4.3 Data Fabric Solutions Major Market Trends
2 Demand Summary
2.1 World Data Fabric Solutions Consumption Value (2019-2030)
2.2 World Data Fabric Solutions Consumption Value by Region
2.2.1 World Data Fabric Solutions Consumption Value by Region (2019-2024)
2.2.2 World Data Fabric Solutions Consumption Value Forecast by Region (2025-2030)
2.3 United States Data Fabric Solutions Consumption Value (2019-2030)
2.4 China Data Fabric Solutions Consumption Value (2019-2030)
2.5 Europe Data Fabric Solutions Consumption Value (2019-2030)
2.6 Japan Data Fabric Solutions Consumption Value (2019-2030)
2.7 South Korea Data Fabric Solutions Consumption Value (2019-2030)
2.8 ASEAN Data Fabric Solutions Consumption Value (2019-2030)
2.9 India Data Fabric Solutions Consumption Value (2019-2030)
3 World Data Fabric Solutions Companies Competitive Analysis
3.1 World Data Fabric Solutions Revenue by Player (2019-2024)
3.2 Industry Rank and Concentration Rate (CR)
3.2.1 Global Data Fabric Solutions Industry Rank of Major Players
3.2.2 Global Concentration Ratios (CR4) for Data Fabric Solutions in 2023
3.2.3 Global Concentration Ratios (CR8) for Data Fabric Solutions in 2023
3.3 Data Fabric Solutions Company Evaluation Quadrant
3.4 Data Fabric Solutions Market: Overall Company Footprint Analysis
3.4.1 Data Fabric Solutions Market: Region Footprint
3.4.2 Data Fabric Solutions Market: Company Product Type Footprint
3.4.3 Data Fabric Solutions Market: Company Product Application Footprint
3.5 Competitive Environment
3.5.1 Historical Structure of the Industry
3.5.2 Barriers of Market Entry
3.5.3 Factors of Competition
3.6 Mergers, Acquisitions Activity
4 United States VS China VS Rest of the World (by Headquarter Location)
4.1 United States VS China: Data Fabric Solutions Revenue Comparison (by Headquarter Location)
4.1.1 United States VS China: Data Fabric Solutions Market Size Comparison (2019 & 2023 & 2030) (by Headquarter Location)
4.1.2 United States VS China: Data Fabric Solutions Revenue Market Share Comparison (2019 & 2023 & 2030)
4.2 United States Based Companies VS China Based Companies: Data Fabric Solutions Consumption Value Comparison
4.2.1 United States VS China: Data Fabric Solutions Consumption Value Comparison (2019 & 2023 & 2030)
4.2.2 United States VS China: Data Fabric Solutions Consumption Value Market Share Comparison (2019 & 2023 & 2030)
4.3 United States Based Data Fabric Solutions Companies and Market Share, 2019-2024
4.3.1 United States Based Data Fabric Solutions Companies, Headquarters (States, Country)
4.3.2 United States Based Companies Data Fabric Solutions Revenue, (2019-2024)
4.4 China Based Companies Data Fabric Solutions Revenue and Market Share, 2019-2024
4.4.1 China Based Data Fabric Solutions Companies, Company Headquarters (Province, Country)
4.4.2 China Based Companies Data Fabric Solutions Revenue, (2019-2024)
4.5 Rest of World Based Data Fabric Solutions Companies and Market Share, 2019-2024
4.5.1 Rest of World Based Data Fabric Solutions Companies, Headquarters (States, Country)
4.5.2 Rest of World Based Companies Data Fabric Solutions Revenue, (2019-2024)
5 Market Analysis by Type
5.1 World Data Fabric Solutions Market Size Overview by Type: 2019 VS 2023 VS 2030
5.2 Segment Introduction by Type
5.2.1 Disk-based Data Fabric
5.2.2 In-memory Data Fabric
5.3 Market Segment by Type
5.3.1 World Data Fabric Solutions Market Size by Type (2019-2024)
5.3.2 World Data Fabric Solutions Market Size by Type (2025-2030)
5.3.3 World Data Fabric Solutions Market Size Market Share by Type (2019-2030)
6 Market Analysis by Application
6.1 World Data Fabric Solutions Market Size Overview by Application: 2019 VS 2023 VS 2030
6.2 Segment Introduction by Application
6.2.1 BFSI
6.2.2 Telecommunications and IT
6.2.3 Retail and ecommerce
6.2.4 Healthcare and life sciences
6.2.5 Healthcare and life sciences
6.2.6 Government
6.2.7 Energy and utilities
6.2.8 Media and entertainment
6.2.9 Others
6.3 Market Segment by Application
6.3.1 World Data Fabric Solutions Market Size by Application (2019-2024)
6.3.2 World Data Fabric Solutions Market Size by Application (2025-2030)
6.3.3 World Data Fabric Solutions Market Size by Application (2019-2030)
7 Company Profiles
7.1 Denodo Technologies (US)
7.1.1 Denodo Technologies (US) Details
7.1.2 Denodo Technologies (US) Major Business
7.1.3 Denodo Technologies (US) Data Fabric Solutions Product and Services
7.1.4 Denodo Technologies (US) Data Fabric Solutions Revenue, Gross Margin and Market Share (2019-2024)
7.1.5 Denodo Technologies (US) Recent Developments/Updates
7.1.6 Denodo Technologies (US) Competitive Strengths & Weaknesses
7.2 Global IDS (US)
7.2.1 Global IDS (US) Details
7.2.2 Global IDS (US) Major Business
7.2.3 Global IDS (US) Data Fabric Solutions Product and Services
7.2.4 Global IDS (US) Data Fabric Solutions Revenue, Gross Margin and Market Share (2019-2024)
7.2.5 Global IDS (US) Recent Developments/Updates
7.2.6 Global IDS (US) Competitive Strengths & Weaknesses
7.3 IBM (US)
7.3.1 IBM (US) Details
7.3.2 IBM (US) Major Business
7.3.3 IBM (US) Data Fabric Solutions Product and Services
7.3.4 IBM (US) Data Fabric Solutions Revenue, Gross Margin and Market Share (2019-2024)
7.3.5 IBM (US) Recent Developments/Updates
7.3.6 IBM (US) Competitive Strengths & Weaknesses
7.4 Informatica (US)
7.4.1 Informatica (US) Details
7.4.2 Informatica (US) Major Business
7.4.3 Informatica (US) Data Fabric Solutions Product and Services
7.4.4 Informatica (US) Data Fabric Solutions Revenue, Gross Margin and Market Share (2019-2024)
7.4.5 Informatica (US) Recent Developments/Updates
7.4.6 Informatica (US) Competitive Strengths & Weaknesses
7.5 Oracle Corp (US)
7.5.1 Oracle Corp (US) Details
7.5.2 Oracle Corp (US) Major Business
7.5.3 Oracle Corp (US) Data Fabric Solutions Product and Services
7.5.4 Oracle Corp (US) Data Fabric Solutions Revenue, Gross Margin and Market Share (2019-2024)
7.5.5 Oracle Corp (US) Recent Developments/Updates
7.5.6 Oracle Corp (US) Competitive Strengths & Weaknesses
7.6 SAP SE (Germany)
7.6.1 SAP SE (Germany) Details
7.6.2 SAP SE (Germany) Major Business
7.6.3 SAP SE (Germany) Data Fabric Solutions Product and Services
7.6.4 SAP SE (Germany) Data Fabric Solutions Revenue, Gross Margin and Market Share (2019-2024)
7.6.5 SAP SE (Germany) Recent Developments/Updates
7.6.6 SAP SE (Germany) Competitive Strengths & Weaknesses
7.7 Software AG (Germany)
7.7.1 Software AG (Germany) Details
7.7.2 Software AG (Germany) Major Business
7.7.3 Software AG (Germany) Data Fabric Solutions Product and Services
7.7.4 Software AG (Germany) Data Fabric Solutions Revenue, Gross Margin and Market Share (2019-2024)
7.7.5 Software AG (Germany) Recent Developments/Updates
7.7.6 Software AG (Germany) Competitive Strengths & Weaknesses
7.8 Splunk (US)
7.8.1 Splunk (US) Details
7.8.2 Splunk (US) Major Business
7.8.3 Splunk (US) Data Fabric Solutions Product and Services
7.8.4 Splunk (US) Data Fabric Solutions Revenue, Gross Margin and Market Share (2019-2024)
7.8.5 Splunk (US) Recent Developments/Updates
7.8.6 Splunk (US) Competitive Strengths & Weaknesses
7.9 Talend (US)
7.9.1 Talend (US) Details
7.9.2 Talend (US) Major Business
7.9.3 Talend (US) Data Fabric Solutions Product and Services
7.9.4 Talend (US) Data Fabric Solutions Revenue, Gross Margin and Market Share (2019-2024)
7.9.5 Talend (US) Recent Developments/Updates
7.9.6 Talend (US) Competitive Strengths & Weaknesses
7.10 VMware (US)
7.10.1 VMware (US) Details
7.10.2 VMware (US) Major Business
7.10.3 VMware (US) Data Fabric Solutions Product and Services
7.10.4 VMware (US) Data Fabric Solutions Revenue, Gross Margin and Market Share (2019-2024)
7.10.5 VMware (US) Recent Developments/Updates
7.10.6 VMware (US) Competitive Strengths & Weaknesses
7.11 Hewlett Packard Enterprise (US)
7.11.1 Hewlett Packard Enterprise (US) Details
7.11.2 Hewlett Packard Enterprise (US) Major Business
7.11.3 Hewlett Packard Enterprise (US) Data Fabric Solutions Product and Services
7.11.4 Hewlett Packard Enterprise (US) Data Fabric Solutions Revenue, Gross Margin and Market Share (2019-2024)
7.11.5 Hewlett Packard Enterprise (US) Recent Developments/Updates
7.11.6 Hewlett Packard Enterprise (US) Competitive Strengths & Weaknesses
7.12 Teradata Corp (US)
7.12.1 Teradata Corp (US) Details
7.12.2 Teradata Corp (US) Major Business
7.12.3 Teradata Corp (US) Data Fabric Solutions Product and Services
7.12.4 Teradata Corp (US) Data Fabric Solutions Revenue, Gross Margin and Market Share (2019-2024)
7.12.5 Teradata Corp (US) Recent Developments/Updates
7.12.6 Teradata Corp (US) Competitive Strengths & Weaknesses
7.13 K2View (Israel)
7.13.1 K2View (Israel) Details
7.13.2 K2View (Israel) Major Business
7.13.3 K2View (Israel) Data Fabric Solutions Product and Services
7.13.4 K2View (Israel) Data Fabric Solutions Revenue, Gross Margin and Market Share (2019-2024)
7.13.5 K2View (Israel) Recent Developments/Updates
7.13.6 K2View (Israel) Competitive Strengths & Weaknesses
7.14 NetApp (US)
7.14.1 NetApp (US) Details
7.14.2 NetApp (US) Major Business
7.14.3 NetApp (US) Data Fabric Solutions Product and Services
7.14.4 NetApp (US) Data Fabric Solutions Revenue, Gross Margin and Market Share (2019-2024)
7.14.5 NetApp (US) Recent Developments/Updates
7.14.6 NetApp (US) Competitive Strengths & Weaknesses
7.15 Tervela
7.15.1 Tervela Details
7.15.2 Tervela Major Business
7.15.3 Tervela Data Fabric Solutions Product and Services
7.15.4 Tervela Data Fabric Solutions Revenue, Gross Margin and Market Share (2019-2024)
7.15.5 Tervela Recent Developments/Updates
7.15.6 Tervela Competitive Strengths & Weaknesses
8 Industry Chain Analysis
8.1 Data Fabric Solutions Industry Chain
8.2 Data Fabric Solutions Upstream Analysis
8.3 Data Fabric Solutions Midstream Analysis
8.4 Data Fabric Solutions Downstream Analysis
9 Research Findings and Conclusion
10 Appendix
10.1 Methodology
10.2 Research Process and Data Source
10.3 Disclaimer
Denodo Technologies (US)
Global IDS (US)
IBM (US)
Informatica (US)
Oracle Corp (US)
SAP SE (Germany)
Software AG (Germany)
Splunk (US)
Talend (US)
VMware (US)
Hewlett Packard Enterprise (US)
Teradata Corp (US)
K2View (Israel)
NetApp (US)
Tervela
听
听
*If Applicable.