Data Fabric Market - By Application, By Component (Solution, Services), By Deployment Model (On-premises, Cloud), By Organization Size (Small & Medium Enterprises, Large Enterprises), By Industry & Forecast, 2024 – 2032

Data Fabric Market - By Application, By Component (Solution, Services), By Deployment Model (On-premises, Cloud), By Organization Size (Small & Medium Enterprises, Large Enterprises), By Industry & Forecast, 2024 – 2032

Data Fabric Market Size

Data Fabric Market was valued at USD 2.4 billion in 2023 and is anticipated to grow at a CAGR of over 30% between 2024 and 2032. The rising digitalization and Artificial Intelligence (AI) integration into fabric data solutions is constantly enhancing scalability and agility. These platforms are dynamically adapting to changing data volumes, sources, and business requirements to support agile development and deployment of data-driven applications & services.

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For instance, in May 2023, Microsoft introduced Fabric, a comprehensive data and analytics platform distinct from Azure Service Fabric. The platform features integration tools, a Spark-powered data engineering platform with real-time analytics capabilities and enhanced Power BI for intuitive visualization and AI-driven analytics.
 

The increasing regulations and concerns about data privacy & security are significantly impacting the data fabric as there is a growing emphasis on enhancing consent management capabilities within the data fabric platforms. Organizations are implementing tools and workflows that enable transparent user consent for data collection, processing, and sharing activities. This ensures compliance with consent requirements outlined in data privacy regulations and builds trust with data subjects. Data fabric platforms are enhancing their audit and governance capabilities to demonstrate accountability and compliance with data privacy regulations.
 

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Data fabric solutions often need to integrate data from different sources, which can increase complexity in data pipelines. This complexity leads to bottlenecks and latency issues, especially when dealing with larger volumes of data or real-time data streams. As data volumes grow and organizations up-scale their operations, data fabric platforms must support increasing demands for processing power and storage capacity. Ensuring seamless scalability across distributed environments, such as cloud and on-premises, without compromising performance is crucial and challenging. Organizations increasingly require real-time or near-real-time analytics capabilities to derive timely insights and respond to the ever-changing business conditions. Achieving low-latency data processing and analytics within data fabric environments is crucial for supporting these requirements effectively.

Data Fabric Market Trends

The growing shift toward cloud computing has catalyzed an increasing demand for robust solutions capable of seamlessly managing data across hybrid and multi-cloud environments. Data fabric emerges as a vital technology in this landscape, offering a coherent framework that integrates and streamlines data from diverse sources and platforms. For instance, in July 2022, IBM finalized its acquisition of Databand.ai, a prominent provider of data observability software. This acquisition enhanced IBM's software portfolio in data management, offering comprehensive capabilities for detecting and resolving issues such as errors, pipeline failures, and data quality issues before they impact the business outcomes.

The rising growth of IoT devices is significantly impacting how organizations monitor big data, and data fabric solutions play a crucial role in this evolving landscape. These solutions are designed to scale horizontally across distributed environments, including edge, cloud, and on-premises infrastructure. This scalability ensures that organizations can handle the increasing volume, velocity, and variety of IoT-generated data effectively. For instance, in October 2021, NetApp unveiled expanded features and new offerings within its hybrid cloud portfolio. These updates aimed to support the organizations in modernizing their IT infrastructures and speeding up digital transformation efforts. NetApp's hybrid cloud solutions are designed to simplify the utilization of enterprise data wherever and whenever it is required.

Data Fabric Market Analysis

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Based on application, the market is segmented into fraud detection & security management, governance, risk & compliance management, customer experience management, sales & marketing management, business process management, and other. The fraud detection and security management segment is the fastest growing segment, with a CAGR of over 30% between 2024 and 2032.

With the rise in cyber threats and related attacks, organizations are framing robust fraud detection and security management solutions. Data fabric platforms enhance cybersecurity measures by integrating real-time data monitoring, anomaly detection, and threat intelligence capabilities into distributed data environments.
 

• Data fabric platforms provide support during the real-time monitoring and response capabilities, helping organizations detect and respond to fraud incidents promptly. By integrating with Security Information and Event Management (SIEM) systems and security orchestration tools, data fabric enhances incident response times & reduces the impact of security breaches.

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Based on component, the market is segmented into solutions and services. The solution segment dominated the market in 2023 and is expected to reach over USD 10 billion by 2032.

Data fabric solution providers are increasingly offering vertical-specific solutions for industries such as healthcare, finance, retail, and manufacturing. These solutions integrate industry-specific data management, analytics, and compliance features, addressing unique challenges and regulatory requirements. There is a growing demand for real-time data processing capabilities within data fabric solutions. Providers are enhancing their platforms with stream processing, Complex Event Processing (CEP), and real-time analytics to support dynamic decision-making and operational responsiveness.
 

• As organizations adopt hybrid and multi-cloud strategies, data fabric solutions are evolving to provide seamless data management and integration across distributed cloud environments. These solutions ensure data consistency, accessibility, and security across on-premises and cloud platforms.

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The data fabric market is experiencing significant growth in Asia Pacific and is estimated to reach USD 5 billion by 2032. Organizations across APAC are accelerating their digital transformation efforts, driving the adoption of data fabric solutions. These solutions enable seamless integration and management of data across hybrid & multi-cloud environments, supporting agile decision-making and operational efficiency.

In Japan, there is an increasing emphasis on establishing cloud regions in strategic locations such as Tokyo to cater to regional data privacy laws and sovereignty requirements. This trend ensures compliance and facilitates data residency, addressing concerns about data security and regulatory compliance. For instance, in March 2024, Qlik introduced its inaugural cloud region in Tokyo. This new establishment enhanced the company's capacity to meet the rising demand for diversified data usage while enabling customers to comply with heightened regulatory and sovereignty standards.

In September 2022, IBM Korea unveiled a new data utilization method that leverages AI to simplify access to vast amounts of data. This innovative approach, known as the data fabric technology, aimed to streamline data management and enhance the efficiency of data integration across various platforms.

The rise of edge computing, which can efficiently manage and process data at the edge, enabling real-time insights and reducing latency, is driving the demand for data fabric solutions in North America. There is a trend toward democratizing data access within organizations, making it easier for users across departments to access and analyze data through self-service data fabric platforms.

Data Fabric Market Share

IBM and AWS, Inc. together held over 15% share of the data fabric industry in 2023. IBM is a multinational technology and consulting company headquartered in Armonk, New York. Established in 1911, it is one of the world's largest and most influential tech companies, with a rich history of innovations in various fields, including computing, AI, and enterprise solutions. IBM's data fabric solutions incorporate advanced AI and Machine Learning (ML) capabilities to automate data management tasks, enhance data quality, and generate actionable insights.

AWS is a leading provider of cloud computing services, offering a comprehensive suite of cloud-based products & services including computing power, storage options, and networking capabilities. AWS plays a significant role in the market with its robust data management and integration solutions.

Data Fabric Market Companies

Major players operating in the data fabric industry are

• International Business Machines Corporation (IBM)
• Amazon Web Services, Inc. (AWS)
• Oracle
• Hitachi Vantara
• Hewlett Packard Enterprise
• NetApp
• Cloudera Inc.

Data Fabric Industry News

• In December 2023, CloudFabrix, an inventor of Robotic Data Automation Fabric (RDAF), announced the launch of Data Fabric for Observability with dynamic Data Ingestion and Automation service (DIA) for the Cisco Observability Platform. CloudFabrix also demonstrated the use of this service for multiple application modules on the Cisco Observability Platform.
   
• In September 2023, Oracle announced the Fusion Data Intelligence Platform, a next-generation data, analytics, and AI platform that will help Oracle Fusion Cloud Applications customers achieve better business outcomes by combining data-driven insights with intelligent decisions and actions.

The data fabric market research report includes in-depth coverage of the industry with estimates & forecast in terms of revenue (USD million) from 2024 to 2032, for the following segments

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Market, By Application

• Fraud detection and security management
• Governance, risk and compliance management
• Customer experience management
• Sales and marketing management
• Business process management
• Other

Market, By Component

• Solution
• Services

Market, By Deployment Model

• On-premises
• Cloud

Market, By Organization Size

• Small & Medium Enterprises (SMEs)
• Large enterprises

Market, By Industry

• BFSI
• Telecommunications & IT
• Retail & e-commerce
• Healthcare
• Manufacturing
• Transportation & logistics
• Media & entertainment
• Others

The above information is provided for the following regions and countries

• North America
  • U.S.
  • Canada
• Europe
  • Germany
  • UK
  • France
  • Italy
  • Spain
  • Rest of Europe
• Asia Pacific
  • China
  • Japan
  • India
  • South Korea
  • ANZ
  • Rest of Asia Pacific

• Latin America
  • Brazil
  • Mexico
  • Rest of Latin America
• MEA
  • UAE
  • Saudi Arabia
  • South Africa
  • Rest of MEA