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.
The global Data Fabric Solutions market was valued at US$ 1742 million in 2023 and is anticipated to reach US$ 7811.4 million by 2030, witnessing a CAGR of 23.7% 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.
This report aims to provide a comprehensive presentation of the global market for Data Fabric Solutions, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Data Fabric Solutions.
Report Scope
The Data Fabric Solutions market size, estimations, and forecasts are provided in terms of revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global Data Fabric Solutions market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the Data Fabric Solutions companies, new entrants, and industry chain related companies in this market with information on the revenues, sales volume, and average price for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
Market Segmentation
By Company
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
Segment by Type
Disk-based Data Fabric
In-memory Data Fabric
Segment by Application
BFSI
Telecommunications and IT
Retail and ecommerce
Healthcare and life sciences
Manufacturing
Government
Energy and utilities
Media and entertainment
Others
By Region
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by Application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of Data Fabric Solutions companies鈥� competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 11: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.
Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.
1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Data Fabric Solutions Market Size Growth Rate by Type: 2019 VS 2023 VS 2030
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 Solutions Market Growth by Application: 2019 VS 2023 VS 2030
1.3.2 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 Solutions Market Perspective (2019-2030)
2.2 Data Fabric Solutions Growth Trends by Region
2.2.1 Global Data Fabric Solutions Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 Data Fabric Solutions Historic Market Size by Region (2019-2024)
2.2.3 Data Fabric Solutions Forecasted Market Size by Region (2025-2030)
2.3 Data Fabric Solutions Market Dynamics
2.3.1 Data Fabric Solutions Industry Trends
2.3.2 Data Fabric Solutions Market Drivers
2.3.3 Data Fabric Solutions Market Challenges
2.3.4 Data Fabric Solutions Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Data Fabric Solutions Players by Revenue
3.1.1 Global Top Data Fabric Solutions Players by Revenue (2019-2024)
3.1.2 Global Data Fabric Solutions Revenue Market Share by Players (2019-2024)
3.2 Global Data Fabric Solutions Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Data Fabric Solutions Revenue
3.4 Global Data Fabric Solutions Market Concentration Ratio
3.4.1 Global Data Fabric Solutions Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Data Fabric Solutions Revenue in 2023
3.5 Data Fabric Solutions Key Players Head office and Area Served
3.6 Key Players Data Fabric Solutions Product Solution and Service
3.7 Date of Enter into Data Fabric Solutions Market
3.8 Mergers & Acquisitions, Expansion Plans
4 Data Fabric Solutions Breakdown Data by Type
4.1 Global Data Fabric Solutions Historic Market Size by Type (2019-2024)
4.2 Global Data Fabric Solutions Forecasted Market Size by Type (2025-2030)
5 Data Fabric Solutions Breakdown Data by Application
5.1 Global Data Fabric Solutions Historic Market Size by Application (2019-2024)
5.2 Global Data Fabric Solutions Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America Data Fabric Solutions Market Size (2019-2030)
6.2 North America Data Fabric Solutions Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America Data Fabric Solutions Market Size by Country (2019-2024)
6.4 North America Data Fabric Solutions Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Data Fabric Solutions Market Size (2019-2030)
7.2 Europe Data Fabric Solutions Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe Data Fabric Solutions Market Size by Country (2019-2024)
7.4 Europe Data Fabric Solutions Market Size by Country (2025-2030)
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 Solutions Market Size (2019-2030)
8.2 Asia-Pacific Data Fabric Solutions Market Growth Rate by Region: 2019 VS 2023 VS 2030
8.3 Asia-Pacific Data Fabric Solutions Market Size by Region (2019-2024)
8.4 Asia-Pacific Data Fabric Solutions Market Size by Region (2025-2030)
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 Solutions Market Size (2019-2030)
9.2 Latin America Data Fabric Solutions Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America Data Fabric Solutions Market Size by Country (2019-2024)
9.4 Latin America Data Fabric Solutions Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Data Fabric Solutions Market Size (2019-2030)
10.2 Middle East & Africa Data Fabric Solutions Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa Data Fabric Solutions Market Size by Country (2019-2024)
10.4 Middle East & Africa Data Fabric Solutions Market Size by Country (2025-2030)
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 Solutions Introduction
11.1.4 Denodo Technologies (US) Revenue in Data Fabric Solutions Business (2019-2024)
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 Solutions Introduction
11.2.4 Global IDS (US) Revenue in Data Fabric Solutions Business (2019-2024)
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 Solutions Introduction
11.3.4 IBM (US) Revenue in Data Fabric Solutions Business (2019-2024)
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 Solutions Introduction
11.4.4 Informatica (US) Revenue in Data Fabric Solutions Business (2019-2024)
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 Solutions Introduction
11.5.4 Oracle Corp (US) Revenue in Data Fabric Solutions Business (2019-2024)
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 Solutions Introduction
11.6.4 SAP SE (Germany) Revenue in Data Fabric Solutions Business (2019-2024)
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 Solutions Introduction
11.7.4 Software AG (Germany) Revenue in Data Fabric Solutions Business (2019-2024)
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 Solutions Introduction
11.8.4 Splunk (US) Revenue in Data Fabric Solutions Business (2019-2024)
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 Solutions Introduction
11.9.4 Talend (US) Revenue in Data Fabric Solutions Business (2019-2024)
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 Solutions Introduction
11.10.4 VMware (US) Revenue in Data Fabric Solutions Business (2019-2024)
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 Solutions Introduction
11.11.4 Hewlett Packard Enterprise (US) Revenue in Data Fabric Solutions Business (2019-2024)
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 Solutions Introduction
11.12.4 Teradata Corp (US) Revenue in Data Fabric Solutions Business (2019-2024)
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 Solutions Introduction
11.13.4 K2View (Israel) Revenue in Data Fabric Solutions Business (2019-2024)
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 Solutions Introduction
11.14.4 NetApp (US) Revenue in Data Fabric Solutions Business (2019-2024)
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 Solutions Introduction
11.15.4 Tervela Revenue in Data Fabric Solutions Business (2019-2024)
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
13.3 Author Details
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
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*If Applicable.
