Data Fabric Market Size, Share & Trends Analysis Report By Component, By Deployment, By Type (Disk-based In-memory), By Enterprise Size, By Business Applications, By Industry, By Region, And Segment Forecasts, 2022 - 2030

Report Overview

The global data fabric market size was valued at USD 1,399.7 million in 2021 and is expected to expand at a compound annual growth rate (CAGR) of 21.2% from 2022 to 2030. The volume and variety of corporate data are directly impacted by increased internet usage and the number of connected devices, including smartphones, laptops, tablets, and PCs. For instance, sensors and cameras constantly collect location data for monitoring purposes. Businesses' use of data analytics is driven by the growing demand for insightful data analysis, and the data is collected from the data fabric for analytics purposes.

The proliferation of online platforms and the digital revolution have accelerated data generation. The businesses keep the data and the knowledge derived from various remote sources. Thus, offering quick access to the data across distant landscapes presents numerous issues for data management providers. The dispersion and variety of business data assets increase data management and data integration complexity, thus increasing the likeliness of data fabric adoption in organizations.

Big data analytics has recently drawn much attention from practitioners and researchers. Global investments in big data analytics have increased to a million dollars from private and public sources. The demand for big data analytics technologies is driven by a rapid increase in data volume and complexity due to increasing cloud computing and mobile data traffic, as well as the development and adoption of technologies like artificial intelligence (AI) and the internet of things (IoT). Companies are predicted to build a data fabric to power enterprise-wide data and analytics and automate many of the tasks involved in data exploration, integration, ingestion, and preparation.

The COVID-19 pandemic has driven businesses to look for innovative solutions to recover quickly and pay attention to the urgent demand for access to sufficient data in emergencies. Additionally, banks have started digital outreach to customers and switched to remote sales and service staff to offer flexible payment terms for loans and mortgages. Grocery businesses primarily focus on online ordering and delivery, while numerous schools currently use digital classrooms and online learning. The quantity and variety of corporate data have increased due to these strategies. Thus, the increased need for real-time streaming analytics, corporate agility, and data accessibility, among other things, is driving the expansion of the data fabric market.

Component Insights

The solution segment dominated the data fabric market with a revenue share of around 80% in 2021. The segment is anticipated to hold the maximum share throughout the forecast period. Data fabric platforms are gaining recognition due to optimization in business data management. The architecture also assists business agility by removing the hindrance caused by data silos and allows real-time streaming analytics that proves beneficial for businesses.

The services sub-segment is expected to grow exponentially in the forecast period. Market players offer professional services to their customers. With real-time connectivity, self-service, automation, and universal transformations in business, traditional data integration cannot meet the demands of today's businesses. Although many organizations can collect data from various sources, they struggle with integrating, processing, curating, and transforming it. Therefore, the services segment in the data fabric market is expected to increase.

Deployment Insights

The on-premises segment dominated with a revenue share of more than 61% in 2021. On-premises deployment seems to grasp less market share than cloud at the end of the forecast period as it comprises vast upfront capital costs and support and operating costs. Apart from this, the implementation takes longer as the software has to be installed on individual servers and computers. For example, In December 2020, SAP introduced SAP Data Intelligence 3.1. This update comprises delivery and deployment, integration and connectivity, governance and metadata pipeline modeling, and intelligent processing. It is an on-premise edition of the SAP Data Intelligence system.

Cloud is anticipated to witness the fastest CAGR during the forecast period. Cloud serves with flexibility, efficiency, and choice, that businesses need. Companies are scaling up their advanced analytics and artificial intelligence projects on the cloud, helping them make better data-driven decisions in a dynamically competitive industry. For instance, in October 2021 - NetApp Inc. launched the ONTAP data management platform to create a multi-cloud hybrid data management tool. It provides propelled integration and high-performance storage on the public cloud.

Type Insights

The disk-based sub-segment dominated the data fabric type segment with a revenue share of more than 78% in 2021. The segment is expected to maintain a significant share during the forecast period. Due to emerging requirements for data management across various data repositories and data integration and decreased data compliance and ownership costs, disk-based data fabric is expected to capture maximum market share. As in-memory databases are faster than disk-based databases, it is anticipated to achieve speedy growth.

In-memory databases require less time when analyzing the information as it utilizes hardware memory for data storage and can be implemented on-premise on commodity hardware ecosystems and the cloud. This adoption is anticipated to drive the demand for in-memory databases. For instance, In March 2020, Oracle introduced a solution, Oracle Coherence version 14.1.1. The solution brings crucial new applications to the industry. The platform is entirely compatible with container and orchestration ecosystems like Kubernetes and Docker.

Enterprise Size Insights

The large enterprise segment represented the largest revenue share of more than 69% in 2021. The usage of vast digital data is prominent in larger organizations. Additionally, data integration & management is a common practice in such organizations. With the advent of multiple data management technologies such as data pipelining, data governance, data orchestration, and data catalog, there is a requirement for architecture to optimize the value of the vast data present in data silos. Thus, the need for data fabric is expected to grow in the coming years.

The small and medium enterprises segment is expected to grow significantly within the forecast period. The rising need for data analytics and optimization of the data available within the organization is expected to drive the segment’s growth. Data fabric standardizes data management practices across on-premises, cloud, and edge devices. Additionally, promotional offers such as free trials are expected to increase the adoption of the data fabric architecture in smaller and medium enterprises.

Business Applications Insights

The fraud detection segment represented the largest revenue share of around 26% in 2021. Business data sets upon a robust data fabric as one of the cornerstones of a cybersecurity ecosystem. Data fabric increases efficiency in business processes, improving data protection with the right defensive strategies. Big Data platforms can analyze transactions and claims in real-time while identifying large-scale patterns across multiple transactions and detecting abnormal behavior from an individual user.

The governance, risk, and compliance management segment is expected to hold a significant share throughout the forecast period. Data governance aims to ensure that you clearly understand what data is present, where it resides, and what it can be used for while complying with data privacy restrictions. Compliance with regulatory, industry, and corporate policies is essential when managing data fabrics that span multiple clouds or hybrid environments. Data fabric extracts all data resources together regardless of where they reside, and these properties are collectively driving factors in the segment’s growth.

Industry Insights

The BFSI segment represented the largest revenue share of over 22% in 2021. Many state regulations encourage swapping consumer data with an agreement to improve the customer experience, drive innovation, and increase efficiency. Data fabric is a solution to open banking that eases data management across businesses. Data is managed, stored, and accessed securely and uniformly.

Banks can implement Machine Learning (ML) and Artificial Intelligence (Al) to generate new business models and enhance the consumer experience by utilizing data fabric technologies in continuous innovation and enhancements. Businesses can also implement this technology to encounter open banking rules and regulations. It will lower the requirement for conventional core banking systems to service open banking APIs. Such factors are anticipated to surge the implementation of data fabric technologies among corporations functioning in the BFS industry.

The data fabric industry in various industries has seen little scope for implementation. Digitalization efforts have been limited to pilot projects in the utility and power sectors, with no large-scale projects operationalized. It is mainly due to outdated IT infrastructures that depend on conventional systems. Accompanying existing DWH technologies with data fabric has drastically decreased costs while enabling data openness, scalability, and development speed across many complex customer businesses.

Regional Insights

North America held the highest revenue share of more than 46% in 2021. Due to massive data management solution vendors in the U.S., the North American region dominates the data fabric market share. Also, the region is regarded as one of the early adopters of advanced solutions. The existence of most data centers and the rise in data collection from unstructured sources are the critical fueling factors for the U.S. market.

Asia Pacific is forecasted to be the fastest-growing region. A quick shift towards digitization and the rising number of data centers are some of the components that might boost the adoption of the data fabric solution in Asia Pacific. The U.S is the first leading country in the globe, the second being China, in data center adoption. According to the analysis, the big data industry in China is anticipated to continue to record steady expansion in the upcoming years.

Key Companies & Market Share Insights

Competition in the data fabric is centered around innovation and product portfolio upgrades. For instance, Atlan's data fabric offering Metadata, a significant player in the market, began as an internal project. The product soon realized its commercial potential due to its ability to catalog the organization's Big Data. The system acts as a layer on top of a company's disparate data infrastructure, effectively stitching it together.

Companies worldwide are increasingly focused on making confident business decisions based on consistent, accurate, and contextual data. For instance, in March 2021, Precisely announced Clearlake and TA Associates would acquire majority stakes in the organization. Centerbridge Partners, their former majority shareholder, would only hold a minority equity stake. The deal is expected to solve complex business challenges through merger and acquisition (M&A) strategies. Some prominent players in the global data fabric market include:

• Atlan Pte. Ltd

• IBM

• Oracle

• Talend

• SAP

• Informatica inc.

• Cloudera inc.

• TIBCO Software Inc.

• Amazon Web Services, Inc.

• data.world, Inc.

Data Fabric Market Report Scope

Global Data Fabric Market Segmentation

This report forecasts revenue growth at the global, regional, and country levels and provides an analysis of the latest industry trends in each of the sub-segments from 2022 to 2030. For this study, Grand View Research has segmented the global data fabric market report based on component, deployment, type, enterprise size, business applications, industry, and region.

• Component Outlook (Revenue, USD Million, 2017 - 2030)

  • Solution

  • Services

• Deployment Outlook (Revenue, USD Million, 2017 - 2030)

  • On-premise

  • Cloud

• Type Outlook (Revenue, USD Million, 2017 - 2030)

  • Disk-based Data Fabric

  • In-memory Data Fabric

• Enterprise Size Outlook (Revenue, USD Million, 2017 - 2030)

  • Small and Medium Enterprise

  • Large Enterprise

• Business Applications Outlook (Revenue, USD Million, 2017 - 2030)

  • Fraud Detection and Security Management

  • Governance, Risk and Compliance Management

  • Customer Experience Management

  • Sales and Marketing Management

  • Business Process Management

  • Other Applications

• Industry Outlook (Revenue, USD Million, 2017 - 2030)

  • BFSI

  • Telecommunications & IT

  • Retail & Ecommerce

  • Healthcare

  • Manufacturing

  • Transportation & Logistics

  • Media & Entertainment

  • Others

• Regional Outlook (Revenue, USD Million, 2017 - 2030)

  • North America

    • U.S.

    • Canada

    • Mexico

  • Europe

    • U.K.

    • Germany

    • France

  • Asia Pacific

    • China

    • Japan

    • India

  • Central and South America

    • Brazil

  • Middle East & Africa