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Data Fabric Market Analysis

ID: MRFR//3445-HCR | 100 Pages | Author: Aarti Dhapte| May 2024

The growth and changes in the Data Fabric Market are influenced by several market forces that shape its dynamics collectively. One major driver is the fact that there has been a rapid growth of the digital landscape, leading to high volumes of data generated every day across different organizational channels. As businesses collect huge volumes of data from diverse sources, effective management and integration have become imperative for survival. Technological advancement plays a significant part in shaping Data Fabric Markets today. Technological advancements have also led to a more complex and versatile nature of these solutions over time through new ways of storing or processing information as well as analyzing it where necessary. Data fabrics can derive actionable insights from an organization's raw information due to integration with advanced technologies like artificial intelligence or machine learning.
It is notable that adoption rates for hybrid cloud and multi-cloud environments significantly impact global markets' development. Data Fabrics require smooth merging between inside premises sources alongside cloud-based ones and hence have gained a lot of importance in view of organizations switching to cloud computing because it allows scaling up when necessary. The competitive field forms one element influencing how Data Fabrics work. Quality competition exists among vendors who create distinctive Data Fabric solutions. Providers are driven by this fact to build the best platforms that are strong, can scale up, and are also industry-specific. Vendors must be capable of making their data fabric products fit these special demands by offering customized solutions that can meet the needs of a given industry. They should make sure that they understand all these things so as to outcompete others in the market and effectively cater to differing customer types.
Therefore, regulatory compliance issues, consumer preferences, and concerns over data privacy are key factors influencing Data Fabric Markets. The contemporary world has a lot of governments and regulatory organizations that have put in place strict laws to protect personal information. Security is more than just a feature: it is one of the key decision drivers in Data Fabrics. Due to global regulations such as the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA), among others, several businesses are compelled to comply with many rules once put into effect.

Covered Aspects:

Report Attribute/Metric Details
Segment Outlook Type, Applications, Service, Vertical and Region

Data Fabric Market Overview


Data Fabric Market size is projected to grow from USD 2.65216 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)


Data Fabric Market Overview1


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)


Data Fabric Market, by Type


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 (%)


DATA FABRIC MARKET SHARE BY REGION


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



Data Fabric Industry Developments


January 2022: Enterprise resource planning (ERP) software has a standard that SAP established with the release of its original SAP R/2 and SAP R/3 products. By processing massive amounts of data in memory and supporting cutting-edge technologies like artificial intelligence (AI) and machine learning, SAP S/4HANA now elevates ERP to a new level.


January 2022: The company's integrated applications link all business areas into an intelligent suite on a fully digital platform, replacing the legacy platform's process-driven architecture. Today, SAP has the largest cloud portfolio of any provider, more than 230 million cloud users, and over 100 solutions covering all business functions.


February 2021: At 42, Christian Klein is the youngest CEO of a significant company on Germany's DAX blue-chip market index. He also serves as the Executive Board Chair of SAP SE.


Data Fabric Market Segmentation


Data Fabric Type Outlook




  • Disk based




  • In-memory




Data Fabric Application Outlook




  • Business process management




  • GRC management




  • Customer experience management




Data Fabric Service Outlook




  • Managed




  • Professional




Data Fabric Vertical Outlook




  • BFSI




  • Automotive




  • Manufacturing




Data Fabric Regional Outlook




  • North America






  • US




  • Canada






  • Europe






  • Germany




  • France




  • UK




  • Italy




  • Spain




  • Rest of Europe






  • Asia-Pacific




    • China




    • Japan




    • India




    • Australia




    • South Korea




    • Australia




    • Rest of Asia-Pacific






  • Rest of the World




    • Middle East




    • Africa




    • Latin America





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