Data Fabric Market Synopsis

Data Fabric Market Size Was Valued at USD 2.4 Billion in 2023 and is Projected to Reach USD 8.9 Billion by 2032, Growing at a CAGR of 15.5% From 2024-2032.

The Data Fabric Market is loosely defined as the concept of a platform or model that allows data to be simplified, handled, and exposed in another point of presence or integration plane. It proclaims a singleton structure that allows for a much easier and coherent relation to different types of data and brings together an organization’s best practices on how data must be managed. Thus, using technologies like artificial intelligence, machine learning along with automation, data fabric solutions help in processing, governing and analyzing data and assist organization in taking proper and right decisions for business development. It comprises diverse products and services in the software form which are associated with processes related to data operations, data protection and data flexibility and access.

• The Data Fabric Market is emerging as the business world comes to the realization that creating efficiency from data is vital. Thus, this market is growing due to the increasing volume and variety of data in various sources and applications, which need sophisticated tools for efficient further data processing and usage. Data fabric solutions themselves are a unifying architecture and they provide a single solution for data access, governance, and data analytics irrespective of whether they are in the on-premises, cloud, or a mix of both. It does not only improve the business application performance and adopted technologies but also makes real-time data processing and analysis which facilitate actual decision making in organizations and quick reaction to any changes.
• The market’s growth is also supported by the increasing use of technologies like AI and ML, which are crucial for the work of contemporary data fabric products. These technologies provide improved functionality of data processing, increase efficiency of routine work, and make data analysis more profound. Therefore, it is anticipated that the growth and demand for data fabric solutions will increase in the future driven by present organization’s ongoing digital transformation strategy. The overall leading actors of the market are currently investing into the further development of the presented solutions, especially in the directions of innovation and integration, to be able to adapt and provide solutions capable of meeting the variety of modern data requirements on a large scale and correspond to the needs of businesses across different industries.

Data Fabric Market Trend Analysis

Increasing integration of artificial intelligence (AI) and machine learning (ML) technologies

• There is growing usage of artificial intelligence and machine learning technologies in Data Fabric Market. These are reshaping the how the Data Fabrics are continuing to work by making working of data fabrics automated, improving data quality, and included analytic capabilities. Advanced computing methods of AI and ML are useful in pattern recognition, trend analysis and recommendations from huge data sets. It is this trend that is pushing the advancement of the modern data fabrics, enabling organizations to better accommodate, organize, and capitalize on the data they possess and their decision-making, thus retaining their market relevance.

Addressing the growing demand for real-time data integration

• One of the trends in the Data Fabric Market is the need to respond to the increasing need for automated data processing in real-time, especially in such sectors as finance, healthcare, and retail. With enterprises focusing on achieving competitive advantage and, therefore, utilizing R for more effective decision-making, there is a need for the possibilities of gaining timely and accurate insights from a large number of sources. Through data fabric technologies, real time analysis of data can occur and companies can further adapt quickly to changes in the market, improve its efficiency and above all, offer better solutions to its customers. As industries demand more from data fabrics, organizations with the means to build and shareholders can meet this growing market opportunity with improved solutions in real-time analytics and integration.

Data Fabric Market Segment Analysis:

• Data Fabric Market Segmented on the basis of type, application and Industry.

By Type, Disk-based Data Fabric segment is expected to dominate the market during the forecast period

• Of all the segments in the forecast period, the Disk-based Data Fabric segment is projected to be the most dominant as a result of its superior features in performance, density as well as scalability requirements for large data storage. Disk-based data fabrics use high storage platforms to manage data from the different sources and offer fast and direct access to information. This segment’s growth is due to the need for much more universal and cheap solutions for storage that have to encompass complex analytical systems and process a great number of transactions.
• Besides, the disk-based systems have the primary benefits in terms of durability and access speed of the storage for the enterprise-level applications particularly when the storage requirement is large. Since the organisations are going to continuously produce more amount of data and managing it, the Disk-based Data Fabric segment to cater the demand efficiently, making its place strong in the market.

By Application, Fraud Detection and Security Management segment expected to held the largest share

• The Fraud Detection and Security Management is expected to dominate the Data Fabric Market owing to the rising focus towards protecting the data and eliminating fraudulent in the current complex business environment of different industries. With resurgent threats like cybercrime, data breaches, etc., picking up momentum organizations have started to spend huge amount on improving their data security.
• Data fabric solutions, in this regard, help in achieving an end-to-end oversight of the data flows so as to identify and prevent any irregularity. All these solutions improve the AI and machine learning algorithms to work on the different aspects of fraud detection and security management. The prominence of this segment stems from the exigent requirement for sound data protection measures alongside the increasing awareness of data fabric in exercising protection against the advancing threats.

Data Fabric Market Regional Insights:

Asia Pacific is Expected to Dominate the Market Over the Forecast period

• There are significant predictions that indicate that the Asia Pacific region will show dominance over the Data Fabric Market over the forecast timeframe because of the region’s increasing digitalization and a growing data environment. Places like China, India as well as Japan are among the leading places that are spending big on advanced technologies and infrastructure to support their pressing data requirements. Market demands for the space are growing due to the rising Tehc-savvy population in the region along with the growing trend of cloud adoption coupled with a massive increase in data generation across industries like, finance, healthcare and manufacturing.
• In addition, increasing government support, increasing technology ventures, and popularity of smart devices also push the tough market growth in Asia Pacific. With organizations in the area striving for better usage of their data and achieving competitive benefits, the future for more advanced data fabric products is highly anticipated, thus making Asia Pacific the leader in this global market.

Active Key Players in the Data Fabric Market

• Cisco Systems (United States)
• Cloudera (United States)
• DataStax (United States)
• Dell Technologies (United States)
• Denodo Technologies (Spain)
• Elastic NV (Netherlands)
• Hewlett Packard Enterprise (HPE) (United States)
• Hitachi Vantara (Japan)
• IBM (United States)
• Informatica (United States)
• Microsoft (United States)
• Oracle (United States)
• SAP (Germany)
• Snowflake (United States)
• Talend (United States), Other key Players

Chapter 1: Introduction
 1.1 Scope and Coverage

Chapter 2:Executive Summary

Chapter 3: Market Landscape
 3.1 Market Dynamics
  3.1.1 Drivers
  3.1.2 Restraints
  3.1.3 Opportunities
  3.1.4 Challenges
 3.2 Market Trend Analysis
 3.3 PESTLE Analysis
 3.4 Porter's Five Forces Analysis
 3.5 Industry Value Chain Analysis
 3.6 Ecosystem
 3.7 Regulatory Landscape
 3.8 Price Trend Analysis
 3.9 Patent Analysis
 3.10 Technology Evolution
 3.11 Investment Pockets
 3.12 Import-Export Analysis

Chapter 4: Data Fabric Market by Type
 4.1 Data Fabric Market Snapshot and Growth Engine
 4.2 Data Fabric Market Overview
 4.3 Disk-based Data Fabric
  4.3.1 Introduction and Market Overview
  4.3.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  4.3.3 Key Market Trends, Growth Factors and Opportunities
  4.3.4 Disk-based Data Fabric: Geographic Segmentation Analysis
 4.4 In-memory Data Fabric
  4.4.1 Introduction and Market Overview
  4.4.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  4.4.3 Key Market Trends, Growth Factors and Opportunities
  4.4.4 In-memory Data Fabric: Geographic Segmentation Analysis

Chapter 5: Data Fabric Market by Application
 5.1 Data Fabric Market Snapshot and Growth Engine
 5.2 Data Fabric Market Overview
 5.3 Fraud Detection
  5.3.1 Introduction and Market Overview
  5.3.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  5.3.3 Key Market Trends, Growth Factors and Opportunities
  5.3.4 Fraud Detection: Geographic Segmentation Analysis
 5.4 Security Management
  5.4.1 Introduction and Market Overview
  5.4.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  5.4.3 Key Market Trends, Growth Factors and Opportunities
  5.4.4 Security Management: Geographic Segmentation Analysis
 5.5 Governance
  5.5.1 Introduction and Market Overview
  5.5.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  5.5.3 Key Market Trends, Growth Factors and Opportunities
  5.5.4 Governance: Geographic Segmentation Analysis
 5.6 Risk & Compliance Management
  5.6.1 Introduction and Market Overview
  5.6.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  5.6.3 Key Market Trends, Growth Factors and Opportunities
  5.6.4 Risk & Compliance Management: Geographic Segmentation Analysis
 5.7 Customer Experience Management
  5.7.1 Introduction and Market Overview
  5.7.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  5.7.3 Key Market Trends, Growth Factors and Opportunities
  5.7.4 Customer Experience Management: Geographic Segmentation Analysis
 5.8 Sales & Marketing Management
  5.8.1 Introduction and Market Overview
  5.8.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  5.8.3 Key Market Trends, Growth Factors and Opportunities
  5.8.4 Sales & Marketing Management: Geographic Segmentation Analysis
 5.9 Business Process Management
  5.9.1 Introduction and Market Overview
  5.9.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  5.9.3 Key Market Trends, Growth Factors and Opportunities
  5.9.4 Business Process Management: Geographic Segmentation Analysis
 5.10 Other Applications
  5.10.1 Introduction and Market Overview
  5.10.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  5.10.3 Key Market Trends, Growth Factors and Opportunities
  5.10.4 Other Applications: Geographic Segmentation Analysis

Chapter 6: Data Fabric Market by Industry
 6.1 Data Fabric Market Snapshot and Growth Engine
 6.2 Data Fabric Market Overview
 6.3 BFSI
  6.3.1 Introduction and Market Overview
  6.3.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  6.3.3 Key Market Trends, Growth Factors and Opportunities
  6.3.4 BFSI: Geographic Segmentation Analysis
 6.4 Telecommunications & IT
  6.4.1 Introduction and Market Overview
  6.4.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  6.4.3 Key Market Trends, Growth Factors and Opportunities
  6.4.4 Telecommunications & IT: Geographic Segmentation Analysis
 6.5 Retail & Ecommerce
  6.5.1 Introduction and Market Overview
  6.5.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  6.5.3 Key Market Trends, Growth Factors and Opportunities
  6.5.4 Retail & Ecommerce: Geographic Segmentation Analysis
 6.6 Healthcare
  6.6.1 Introduction and Market Overview
  6.6.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  6.6.3 Key Market Trends, Growth Factors and Opportunities
  6.6.4 Healthcare: Geographic Segmentation Analysis
 6.7 Manufacturing
  6.7.1 Introduction and Market Overview
  6.7.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  6.7.3 Key Market Trends, Growth Factors and Opportunities
  6.7.4 Manufacturing: Geographic Segmentation Analysis
 6.8 Transportation & Logistics
  6.8.1 Introduction and Market Overview
  6.8.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  6.8.3 Key Market Trends, Growth Factors and Opportunities
  6.8.4 Transportation & Logistics: Geographic Segmentation Analysis
 6.9 Media & Entertainment
  6.9.1 Introduction and Market Overview
  6.9.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  6.9.3 Key Market Trends, Growth Factors and Opportunities
  6.9.4 Media & Entertainment: Geographic Segmentation Analysis
 6.10 Others
  6.10.1 Introduction and Market Overview
  6.10.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  6.10.3 Key Market Trends, Growth Factors and Opportunities
  6.10.4 Others: Geographic Segmentation Analysis

Chapter 7: Company Profiles and Competitive Analysis
 7.1 Competitive Landscape
  7.1.1 Competitive Benchmarking
  7.1.2 Data Fabric Market Share by Manufacturer (2023)
  7.1.3 Industry BCG Matrix
  7.1.4 Heat Map Analysis
  7.1.5 Mergers and Acquisitions
  
 7.2 CISCO SYSTEMS (UNITED STATES)
  7.2.1 Company Overview
  7.2.2 Key Executives
  7.2.3 Company Snapshot
  7.2.4 Role of the Company in the Market
  7.2.5 Sustainability and Social Responsibility
  7.2.6 Operating Business Segments
  7.2.7 Product Portfolio
  7.2.8 Business Performance
  7.2.9 Key Strategic Moves and Recent Developments
  7.2.10 SWOT Analysis
 7.3 CLOUDERA (UNITED STATES)
 7.4 DATASTAX (UNITED STATES)
 7.5 DELL TECHNOLOGIES (UNITED STATES)
 7.6 DENODO TECHNOLOGIES (SPAIN)
 7.7 ELASTIC NV (NETHERLANDS)
 7.8 HEWLETT PACKARD ENTERPRISE (HPE) (UNITED STATES)
 7.9 HITACHI VANTARA (JAPAN)
 7.10 IBM (UNITED STATES)
 7.11 INFORMATICA (UNITED STATES)
 7.12 MICROSOFT (UNITED STATES)
 7.13 ORACLE (UNITED STATES)
 7.14 SAP (GERMANY)
 7.15 SNOWFLAKE (UNITED STATES)
 7.16 TALEND (UNITED STATES)

Chapter 8: Global Data Fabric Market By Region
 8.1 Overview
 8.2. North America Data Fabric Market
  8.2.1 Key Market Trends, Growth Factors and Opportunities
  8.2.2 Top Key Companies
  8.2.3 Historic and Forecasted Market Size by Segments
  8.2.4 Historic and Forecasted Market Size By Type
   8.2.4.1 Disk-based Data Fabric
   8.2.4.2 In-memory Data Fabric
  8.2.5 Historic and Forecasted Market Size By Application
   8.2.5.1 Fraud Detection
   8.2.5.2 Security Management
   8.2.5.3 Governance
   8.2.5.4 Risk & Compliance Management
   8.2.5.5 Customer Experience Management
   8.2.5.6 Sales & Marketing Management
   8.2.5.7 Business Process Management
   8.2.5.8 Other Applications
  8.2.6 Historic and Forecasted Market Size By Industry
   8.2.6.1 BFSI
   8.2.6.2 Telecommunications & IT
   8.2.6.3 Retail & Ecommerce
   8.2.6.4 Healthcare
   8.2.6.5 Manufacturing
   8.2.6.6 Transportation & Logistics
   8.2.6.7 Media & Entertainment
   8.2.6.8 Others
  8.2.7 Historic and Forecast Market Size by Country
   8.2.7.1 US
   8.2.7.2 Canada
   8.2.7.3 Mexico
 8.3. Eastern Europe Data Fabric Market
  8.3.1 Key Market Trends, Growth Factors and Opportunities
  8.3.2 Top Key Companies
  8.3.3 Historic and Forecasted Market Size by Segments
  8.3.4 Historic and Forecasted Market Size By Type
   8.3.4.1 Disk-based Data Fabric
   8.3.4.2 In-memory Data Fabric
  8.3.5 Historic and Forecasted Market Size By Application
   8.3.5.1 Fraud Detection
   8.3.5.2 Security Management
   8.3.5.3 Governance
   8.3.5.4 Risk & Compliance Management
   8.3.5.5 Customer Experience Management
   8.3.5.6 Sales & Marketing Management
   8.3.5.7 Business Process Management
   8.3.5.8 Other Applications
  8.3.6 Historic and Forecasted Market Size By Industry
   8.3.6.1 BFSI
   8.3.6.2 Telecommunications & IT
   8.3.6.3 Retail & Ecommerce
   8.3.6.4 Healthcare
   8.3.6.5 Manufacturing
   8.3.6.6 Transportation & Logistics
   8.3.6.7 Media & Entertainment
   8.3.6.8 Others
  8.3.7 Historic and Forecast Market Size by Country
   8.3.7.1 Bulgaria
   8.3.7.2 The Czech Republic
   8.3.7.3 Hungary
   8.3.7.4 Poland
   8.3.7.5 Romania
   8.3.7.6 Rest of Eastern Europe
 8.4. Western Europe Data Fabric Market
  8.4.1 Key Market Trends, Growth Factors and Opportunities
  8.4.2 Top Key Companies
  8.4.3 Historic and Forecasted Market Size by Segments
  8.4.4 Historic and Forecasted Market Size By Type
   8.4.4.1 Disk-based Data Fabric
   8.4.4.2 In-memory Data Fabric
  8.4.5 Historic and Forecasted Market Size By Application
   8.4.5.1 Fraud Detection
   8.4.5.2 Security Management
   8.4.5.3 Governance
   8.4.5.4 Risk & Compliance Management
   8.4.5.5 Customer Experience Management
   8.4.5.6 Sales & Marketing Management
   8.4.5.7 Business Process Management
   8.4.5.8 Other Applications
  8.4.6 Historic and Forecasted Market Size By Industry
   8.4.6.1 BFSI
   8.4.6.2 Telecommunications & IT
   8.4.6.3 Retail & Ecommerce
   8.4.6.4 Healthcare
   8.4.6.5 Manufacturing
   8.4.6.6 Transportation & Logistics
   8.4.6.7 Media & Entertainment
   8.4.6.8 Others
  8.4.7 Historic and Forecast Market Size by Country
   8.4.7.1 Germany
   8.4.7.2 UK
   8.4.7.3 France
   8.4.7.4 Netherlands
   8.4.7.5 Italy
   8.4.7.6 Russia
   8.4.7.7 Spain
   8.4.7.8 Rest of Western Europe
 8.5. Asia Pacific Data Fabric Market
  8.5.1 Key Market Trends, Growth Factors and Opportunities
  8.5.2 Top Key Companies
  8.5.3 Historic and Forecasted Market Size by Segments
  8.5.4 Historic and Forecasted Market Size By Type
   8.5.4.1 Disk-based Data Fabric
   8.5.4.2 In-memory Data Fabric
  8.5.5 Historic and Forecasted Market Size By Application
   8.5.5.1 Fraud Detection
   8.5.5.2 Security Management
   8.5.5.3 Governance
   8.5.5.4 Risk & Compliance Management
   8.5.5.5 Customer Experience Management
   8.5.5.6 Sales & Marketing Management
   8.5.5.7 Business Process Management
   8.5.5.8 Other Applications
  8.5.6 Historic and Forecasted Market Size By Industry
   8.5.6.1 BFSI
   8.5.6.2 Telecommunications & IT
   8.5.6.3 Retail & Ecommerce
   8.5.6.4 Healthcare
   8.5.6.5 Manufacturing
   8.5.6.6 Transportation & Logistics
   8.5.6.7 Media & Entertainment
   8.5.6.8 Others
  8.5.7 Historic and Forecast Market Size by Country
   8.5.7.1 China
   8.5.7.2 India
   8.5.7.3 Japan
   8.5.7.4 South Korea
   8.5.7.5 Malaysia
   8.5.7.6 Thailand
   8.5.7.7 Vietnam
   8.5.7.8 The Philippines
   8.5.7.9 Australia
   8.5.7.10 New Zealand
   8.5.7.11 Rest of APAC
 8.6. Middle East & Africa Data Fabric Market
  8.6.1 Key Market Trends, Growth Factors and Opportunities
  8.6.2 Top Key Companies
  8.6.3 Historic and Forecasted Market Size by Segments
  8.6.4 Historic and Forecasted Market Size By Type
   8.6.4.1 Disk-based Data Fabric
   8.6.4.2 In-memory Data Fabric
  8.6.5 Historic and Forecasted Market Size By Application
   8.6.5.1 Fraud Detection
   8.6.5.2 Security Management
   8.6.5.3 Governance
   8.6.5.4 Risk & Compliance Management
   8.6.5.5 Customer Experience Management
   8.6.5.6 Sales & Marketing Management
   8.6.5.7 Business Process Management
   8.6.5.8 Other Applications
  8.6.6 Historic and Forecasted Market Size By Industry
   8.6.6.1 BFSI
   8.6.6.2 Telecommunications & IT
   8.6.6.3 Retail & Ecommerce
   8.6.6.4 Healthcare
   8.6.6.5 Manufacturing
   8.6.6.6 Transportation & Logistics
   8.6.6.7 Media & Entertainment
   8.6.6.8 Others
  8.6.7 Historic and Forecast Market Size by Country
   8.6.7.1 Turkey
   8.6.7.2 Bahrain
   8.6.7.3 Kuwait
   8.6.7.4 Saudi Arabia
   8.6.7.5 Qatar
   8.6.7.6 UAE
   8.6.7.7 Israel
   8.6.7.8 South Africa
 8.7. South America Data Fabric Market
  8.7.1 Key Market Trends, Growth Factors and Opportunities
  8.7.2 Top Key Companies
  8.7.3 Historic and Forecasted Market Size by Segments
  8.7.4 Historic and Forecasted Market Size By Type
   8.7.4.1 Disk-based Data Fabric
   8.7.4.2 In-memory Data Fabric
  8.7.5 Historic and Forecasted Market Size By Application
   8.7.5.1 Fraud Detection
   8.7.5.2 Security Management
   8.7.5.3 Governance
   8.7.5.4 Risk & Compliance Management
   8.7.5.5 Customer Experience Management
   8.7.5.6 Sales & Marketing Management
   8.7.5.7 Business Process Management
   8.7.5.8 Other Applications
  8.7.6 Historic and Forecasted Market Size By Industry
   8.7.6.1 BFSI
   8.7.6.2 Telecommunications & IT
   8.7.6.3 Retail & Ecommerce
   8.7.6.4 Healthcare
   8.7.6.5 Manufacturing
   8.7.6.6 Transportation & Logistics
   8.7.6.7 Media & Entertainment
   8.7.6.8 Others
  8.7.7 Historic and Forecast Market Size by Country
   8.7.7.1 Brazil
   8.7.7.2 Argentina
   8.7.7.3 Rest of SA

Chapter 9 Analyst Viewpoint and Conclusion
9.1 Recommendations and Concluding Analysis
9.2 Potential Market Strategies

Chapter 10 Research Methodology
10.1 Research Process
10.2 Primary Research
10.3 Secondary Research