Data Fabric Market Analysis

Data Fabric Market Overview

The Data Fabric Market size is projected to grow from USD 2.6521 Billion in 2024 to USD 8.687 Billion by 2032, exhibiting a compound annual growth rate (CAGR) of 15.99% during the forecast period (2024 - 2032). Additionally, the market size for data fabric was valued at USD 2.24 Billion in 2023.

Improved data security via data management solutions and providing an extra layer of security against unauthorized access are the key market drivers enhancing market growth.

Figure 1: Data Fabric Market Size, 2022-2032 (USD Billion)

Source: Secondary Research, Primary Research, MRFR Database and Analyst Review

Data Fabric Market Trends

Improved data security via data management solutions is driving market growth

Market CAGR for weight loss supplements is driven as data security and reliability is critical for business operations and successful outcomes. Businesses can achieve secure data by adhering to regulations that protect the sensitive data of their clients or customers. According to the Consumer Intelligence Series: Trusted Tech Report, 80%-90% of customers in countries like the United States, Canada, China, India, the United Kingdom, and others are looking for more trusted companies to protect their data. As a result, adopting more secure data management tools has become critical for organizations worldwide. A data fabric is a well-structured architecture that provides an extra layer of security against unauthorized access and data exploitation. Its ecosystem ensures dependable data management by providing a secure-by-design framework. Data generation has increased due to the proliferation of online platforms and the digital revolution. The companies retain the information and knowledge obtained from various outside sources. Data management providers need help providing quick access to the data across vast landscapes. The diversity and dispersion of business data assets raise the complexity of data management and integration, increasing the likelihood of data fabric adoption in organizations.

Recent months have seen much interest from practitioners and researchers in big data analytics. Million dollars have been invested globally in big data analytics from both public and private sources. Increasing cloud computing and mobile data traffic, as well as the development and uptake of technologies like artificial intelligence (AI) and the internet of things (IoT), are all factors driving the demand for big data analytics technologies. Many tasks involved in data exploration, integration, ingestion, and preparation are predicted to be automated as businesses build a data fabric to power enterprise-wide data and analytics. Thus, driving the data fabric market revenue.

Data Fabric Market Segment Insights

Data Fabric Type Insights

Based on type, the data fabric market segmentation includes disk-based and in-memory. The disk-based segment dominated the market due to new demands for data management across various data repositories and integration and lower costs associated with data compliance and ownership. It is anticipated that in-memory databases will experience rapid growth as they are faster than disk-based databases.

Figure 2: Data Fabric Market, by Type, 2022 & 2032 (USD billion)

Source: Secondary Research, Primary Research, MRFR Database and Analyst Review

Data Fabric Application Insights

Based on application, the data fabric market segmentation includes business process management, GRC management, and customer experience management. The GRC management category generated the most income. Data governance ensures that you comply with privacy restrictions and clearly understand the present data, where it resides, and what it can be used for. Adherence to regulatory, industry, and corporate policies is crucial when managing data fabrics that span multiple clouds or hybrid environments. Regardless of where they are located, data fabric extracts all data resources at once, and these features propel the segment's growth.

Data Fabric Service Insights

Based on service, the data fabric market segmentation includes managed and professional. The professional category generated the most income. Professional data fabric provides several benefits, including faster access to trusted data, data silo reduction, and faster self-service data discovery and analytics. It can also automate data engineering tasks and supplement data integration to provide real-time insight. A data fabric can help improve data management by providing a unified data view. It can lower data management costs by allowing for more efficient resource utilization. Furthermore, data fabric can continuously identify and connect data from disparate applications to discover unique, business-relevant relationships among the available data points.

Data Fabric Vertical Insights

Based on vertical, the data fabric market segmentation includes BFSI, automotive, and manufacturing. The BFSI category generated the most income. The exchange of consumer data with an agreement to enhance the customer experience, spur innovation, and boost efficiency is encouraged by many state regulations. Data fabric is a solution to open banking that makes data management easier for businesses. Data is securely managed, kept, and uniformly accessed. To create new business models and improve the customer experience, banks can use machine learning (ML) and artificial intelligence (AI) by utilizing data fabric technologies. This technology can be used by businesses to comply with open banking rules and regulations. It will make it less necessary for traditional core banking systems to support open banking APIs. These factors are anticipated to accelerate the adoption of data fabric technologies among businesses engaged in the BFSI sector.

Data Fabric Regional Insights

By Region, the study provides market insights into North America, Europe, Asia-Pacific and the Rest of the World. The North American data fabric will dominate because of the large number of data management solution providers in the U.S. Furthermore, the region is regarded as one of the early adopters of advanced technologies. The increase in data collection from unstructured sources and the presence of the majority of data centers are the major driving factors for the market in the United States.

Further, the major countries studied in the market report are The U.S., Canada, German, France, the UK, Italy, Spain, China, Japan, India, Australia, South Korea, and Brazil.

Figure 3: DATA FABRIC MARKET SHARE BY REGION 2022 (%)

Source: Secondary Research, Primary Research, MRFR Database and Analyst Review

Europe’s data fabric market accounts for the second-largest market share growing at an astounding rate; there is now a need for data management tools. The growing use of electronic devices and networks, advances in information and communication technologies, and the digitalization of manufacturing processes generates massive amounts of data daily due to social and economic activities. Europe's major countries include the United Kingdom, Germany, France, Russia, Nordic countries, and Italy. Further, the German data fabric market held the largest market share, and the UK data fabric market was the fastest-growing market in the European region.

The Asia-Pacific data fabric market is expected to grow at the fastest CAGR from 2023 to 2032. A growing number of data centers and a rapid shift towards digitization are two factors that may drive the solution's adoption in the Asia Pacific. China is the world's second-largest data center adopter, trailing only the United States. According to the analysis, China's big data industry will continue to grow steadily in the coming years. Moreover, China’s data fabric market held the largest market share, and the Indian data fabric market was the fastest-growing market in the Asia-Pacific region.

Data Fabric Key Market Players & Competitive Insights

Leading market players are investing heavily in research and development to expand their product lines, which will help the data fabric market grow even more. Market participants are also undertaking various strategic activities to expand their footprint, with important market developments including new product launches, contractual agreements, mergers and acquisitions, higher investments, and collaboration with other organizations. The data fabric industry must offer cost-effective items to expand and survive in a more competitive and rising market climate.

Manufacturing locally to minimize operational costs is one of the key business tactics manufacturers use in the data fabric industry to benefit clients and increase the market sector. In recent years, the data fabric industry has offered some of the most significant advantages to medicine. Major players in the data fabric market, including SAP SE (Germany), Informatica (U.S.), Splunk Inc. (U.S.), Denodo (U.S.), Syncsort Inc. (U.S.), IBM Corporation (U.S.), Oracle Corporation (U.S.), DS (U.S.), Teradata Corporation (U.S.), K2 View (U.S.) and others, are attempting to increase market demand by investing in research and development operations.

SAP SE (Germany), we are redefining ERP and building networks of intelligent enterprises that provide transparency, resiliency, and sustainability across supply chains to help businesses of all sizes and industries run better. We are the market leader in enterprise application software. Our customers can operate profitably, continuously adapt, and make a difference globally thanks to our comprehensive suite of applications and services. One of the world's top software developers for business process management, SAP creates products that streamline efficient data processing and information exchange between organizations. The business was founded in 1972 and was initially known as System Analysis Program Development, later becoming SAP. Since then, it has expanded from a five-person startup to a corporation with over 105,000 staff members based in Walldorf, Germany.

Oracle Corporation (U.S.), The headquarters of the American multinational computer technology company Oracle Corporation are in Austin, Texas. According to revenue and market capitalization, Oracle was the third-largest software company in the world in 2020. The company sells enterprise software products like enterprise resource planning (ERP) software, human capital management (HCM) software, customer relationship management (CRM) software (also known as customer experience), enterprise performance management (EPM) software, and supply chain management (SCM) software, as well as database software and technology (particularly under its brands).

Key Companies in the data fabric market include

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  SAP SE (Germany)

  
  


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  Splunk Inc. (U.S.)

  
  


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  Informatica (U.S.)

  
  


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  Denodo (U.S.)

  
  


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  Syncsort Inc. (U.S.)

  
  


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  IBM Corporation (U.S.)

  
  


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  Oracle Corporation (U.S.)

  
  


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  DS (U.S.)

  
  


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  Teradata Corporation (U.S.)

  
  


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  K2 View (U.S.)

  
  

Data Fabric Industry Developments

In November 2023, DataStax announced the development of its relationship with Amazon Web Services (AWS), focusing on new generative AI technologies and integrations across various aspects, such as go-to-market strategies, products, and technology. The partnership aims at providing generative artificial intelligence solutions to customers leading to enhanced efficiency and effective growth, improving precise generative artificial intelligence applications for a better user experience.

In December 2023, Fortinet (FTNT) revealed that it had expanded its strategic partnership with Digital Realty (DLR), the largest global provider of cloud-agnostic carrier-neutral data center solutions. The company intends to accelerate the worldwide deployment of Fortinet’s Universal Secure Access Service Edge (SASE) solution which is already deployed in over one hundred locations worldwide. SASE refers to a security framework that combines network security capabilities with Wide Area Network (WAN) functions that satisfy evolving access demands securely for enterprises.

In August 2022, Zilliz contributed significantly to the Milvus 2.1 release. Milvus is one of the most superior vector database systems globally capable of processing huge volumes, including ones from different origins, enabling next-generation information fabrics’ improvements.

In March 2022, Vyasa released Cortex; this insightful data management tool represents the “blueprint” for information sources related to Vyasa Layar data fabrics so that users can build, manage or gain access from these links.

In December 2021, SAP launched a fresh version of SAP Data Intelligence. This update contains deployment and delivery as well as metadata and governance, pipeline modeling, connectivity and integration and intelligent processing. SAP Data Intelligence is an on-premises version.

In October 2021, NetApp Inc. released ONTAP data management software, a hybrid multi-cloud data management tool. It provides high-performance storage and enables public cloud integration.

In July 2021, Teradata revealed a Teradata QueryGrid upgrade that included more cloud-native functionality to boost Vantage’s hybrid-multi-cloud capacity while allowing Teradata clients access to data and analytics across multiple platforms from different vendors. With new cloud-native features, it enables clients to access data and analytics spanning heterogeneous devices and public cloud providers.

Data Fabric Market Segmentation

Data Fabric Type Outlook

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  Disk based

  
  


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  In-memory

  
  

Data Fabric Application Outlook

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  Business process management

  
  


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  GRC management

  
  


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  Customer experience management

  
  

Data Fabric Service Outlook

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  Managed

  
  


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  Professional

  
  

Data Fabric Vertical Outlook

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  BFSI

  
  


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  Automotive

  
  


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  Manufacturing

  
  

Data Fabric Regional Outlook