Data Fabric Market Size, Share & COVID-19 Impact Analysis, By Deployment (Cloud, On-premises), By Type (Disk-based, In-memory), By Enterprise Size (SMEs, Large Enterprise), By Application (Fraud Detection & Security Management, Governance, Risk & Compliance Management, Customer Experience Management, Sales & Marketing Management, Business Process Management, Others), By End User (BFSI, IT & Telecom, Retail & E-Commerce, Healthcare & Life Sciences, Manufacturing, Government, Energy & Utilities, Media & Entertainment, Education, Others), and Regional Forecast, 2022-2029

The global data fabric market was valued at USD 1.43 billion in 2021. The market is projected to grow from USD 1.71 billion in 2022 to USD 6.97 billion by 2029, exhibiting a CAGR of 22.3% during the forecast period. The global COVID-19 pandemic has been unprecedented and staggering, with experiencing lower-than-anticipated demand across all regions compared to pre-pandemic levels. Based on our analysis, the global market had exhibited a decline of 18.7% in 2020 as compared to 2019.

In the scope of the study, solutions such as IBM Cloud Pak, Oracle Coherence Queryable, HPE Ezmeral, SAP Data Intelligence Cloud, among others have been considered. Data fabric is an end-to-end data integration and management solution that provides a consistent, unified user experience and access to data for any employee of an organization across the globe and in real-time. It is a powerful architecture that standardizes practicalities across on premises, cloud, and edge devices, as well as regulates data management practices. The rapid shift of businesses on cloud and its diverse data sources will fuel the demand for this fabric. For instance, in November 2021, IBM Corporation invested in SingleStore, to support its mission of unifying the cloud database. With IBM fabric architecture, the company aims to help in governing and accessing data.

COVID-19 IMPACT 

Surge in Digital Transformation amid COVID-19 to Boost Market Growth

The COVID-19 pandemic has severely impacted industries across nations.  Industries such as manufacturing, banking financial services and insurance (BFSI), healthcare, retail, education, among others are facing critical challenges owing to the disruption in production plants, supply chain, limitations on in-house staff capacity, delayed customer service. Thus, there is a dramatic shift in remote working solutions and digital transformation amid pandemic crises.

The massive shift to digitalization created volatile and new data sources owing to the pandemic. This created havoc for enterprises in managing the vast data. For instance, in 2020, as the students worldwide shifted to online learning tools, Blackboard Inc. witnessed an explosion of daily log volumes overnight. Thus, to manage the exponential growth of the data during pandemics, many companies included data management architecture in their workflow system. Therefore, to accelerate digital transformation, businesses globally started implementing the solutions rapidly. For instance,

• In May 2020, Cinchy Inc., a data collaboration company, witnessed a surge in its financing by the investors such as Information Venture Partners, Manulife Investment Management, ScaleUp Ventures, and Techstars. The businesses are focusing on the data fabric tools to boost IT workforce productivity as the competition increases post-pandemic. Cinchy’s Data Fabric is supporting enterprises in addressing amid COVID-19 crisis.

LATEST TRENDS

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Enhanced Data Security through Data Management Solution to Boost Market Growth 

Secured and robust data is essential for proper business operations and successful outcomes. Businesses can achieve secure data by complying with global regulations safeguarding the client or customers' sensitive data. According to the Consumer Intelligence Series: Trusted Tech Report, 80%-90% of customers across countries, such as the U.S., Canada, China, India, the U.K., and others, are looking for more trusted companies for their data protection. Thus, it has become indispensable for organizations across the globe to adopt more secured data management tools. Data fabric is a well-structured architecture that offers an additional protection layer against unauthorized access and data exploitation. Its ecosystem provides reliable data management by offering a secure-by-design framework. 

Also, the adoption of artificial intelligence and machine learning tools in the architecture improves its operational capabilities. In December 2021, identity unification company Radiant Logic introduced RadiantOne Intelligent Identity Data Platform as the first available Identity Data Fabric to enhance compliance and security capabilities. Thus, the additional data security capabilities with the solution are expected to boost market expansion.

DRIVING FACTORS

Integration of AI/ML in Data Integration Tools to Drive the Demand for the Architecture

The digital transformation and adoption of online platforms have fueled the data generation process. The enterprises store the data and its derived insights across different and distributed sources. The data management providers thus face various challenges in providing quick access to the data across these distributed landscapes. A higher level of distribution and variety of business data assets create complexity in data management and integration.

As per the Data and Analytics Adoption Trends Study 2018, organizations planned to automate 49% of data integration and 37% of data preparation tools by 2020. Therefore, the data and analytics industries are investing in advanced technologies to support data management strategies. This has resulted in the rise in demand for the adoption of artificial intelligence or machine learning based data fabric architectures. The new tools and techniques help in enabling complex data use cases. Its ability to accelerate data and analytics design, along with offering transparent decision flow, is driving its demand for business survival.

Further, the AI/ML-powered tools offer quick access data to help organizations in planning new marketing strategies and targeting potential customers. It provides 360-degree critical insights regarding supplier and customer ends that helps in improving sales rates. For instance, in June 2021, IBM Corporation introduced IBM Cloud Pak for Data 4.0 with automation and a combination of AI lifecycle and data to provide intelligent data management tools.

RESTRAINING FACTORS

Lack of Control over Data to Hinder Market Growth

Data is an essential part of data-driven industries catering to various applications. The architecture directly connects data with the functional areas of businesses, such as human resources, finance, sales, operations, and more. However, these connections do not retain the historical data transaction. This transaction is potentially valuable for data scientists, business analysts, machine learning engineers, and other users. Its architecture lacks the unit for incorporating this data.

Similarly, the lack of visibility to store data on the cloud limits the control over the data directly. The lack of visibility is likely to impact the protection and governance of the data stored, hampering the market growth.  

SEGMENTATION

By Deployment Analysis

Improved Scalability and Flexibility to Fuel Cloud Demand

In term of the deployment, the market is categorized into cloud and on-premises. Cloud is expected to dominate the segment share as it offers efficiency, choice, and flexibility that enterprises need.  Companies are scaling up their artificial intelligence and advanced analytics projects on the cloud, which is aiding them to make better data-driven decisions in progressively competitive markets.

On premise deployment could capture less market share compared to cloud as it includes large upfront capital cost, along with functional and support costs. Besides, as the software has to be installed on individual computers and servers, the deployment takes a longer time.

By Type Analysis

Increasing Focus on Data Compliance to Drive Disk-based Demand

Based on the type, the market is segmented into disk-based and in-memory data fabric.

Disk-based data fabric is likely to capture maximum market share owing to less cost of ownership and data compliance and ever-increasing need for data integration and management across various data repositories.

In-memory databases are likely to gain rapid growth as they are quicker than disk-based databases. As in-memory databases utilize hardware memory for data storage, it requires less time when querying the data. It can be used in the cloud as well as on commodity on premise hardware ecosystems. This is expected to drive the demand for in-memory databases.

By Enterprise Size Analysis

Growing Adoption of Complex Technologies in Large Enterprises to Boost Market Growth

The enterprise size is categorized into large enterprises and small and medium enterprises. Large enterprises could dominate the segment share during the forecast period. Large enterprises are implementing the fabric technology to manage ongoing complex, disparate environments and new micro service-based and existing applications.

Similarly, small businesses have started adopting the architecture to easily extract, transform, integrate, govern, and analyze their cloud and on-premises data from multiple sources to deliver advanced data analytics. This is expected to boost data fabric market growth.

By Application Analysis

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Growing Demand for Data Security to Surge Fraud Detection and Security Management Growth

The application segment is categorized into fraud detection and security management, governance, risk and compliance management, customer experience management, sales and marketing management, business process management, and others.

Data management tool is majorly used for business process management and its use for fraud detection and security management is predicted to upsurge in coming years. In business process management, it assists businesses in overseeing their data to maximize the value of data. Companies are using the solution to automate and optimize data management processes in less time and at minimum cost.

Security management is the major challenge for businesses; thus, the demand for data fabric for fraud detection is expected to gain traction. It also helps in improving regulatory compliance while reducing losses. In sales and marketing management, it helps in extracting data from the various endpoint and offers insights to develop new strategies. In relation to customer experience management, customer data is the most important data; therefore, the right technology is required to break down data silos. Data management technique lets companies share data among employees and partners in real-time.

By End User Analysis

Growing Customer Data in BFSI to Boost Data Management Solution Demand

On the basis of end-user, the industry is segregated into BFSI, IT and telecom, retail and e-commerce, healthcare and life sciences, manufacturing, government, energy and utilities, media and entertainment, education, and others.

In the BFSI sector, the need for targeted insights, better user experiences, and better access to analytic capabilities drawn from different sources across the entire enterprise is bringing the tools into focus. Similarly, the generation of a huge volume of data every day in healthcare and life sciences organizations is expected to fuel market growth.

The retail industry is transitioning; thus, the digital or e-commerce marketplace is gaining prominence. To cope with this digital transformation, retail businesses are deploying data management solutions to enable a comprehensive data and storage management strategy. The rapid adoption of digital technology across government sectors is poised to boost market growth. Similarly, the fast-growing data-driven industry, IT and telecommunication, will boost the market outlook.

REGIONAL INSIGHTS

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The global market is classified across five regions, such as North America, Europe, Asia Pacific, Middle East and Africa, and South America.

Among these, North America dominates the data fabric market share owing to the presence of a large number of data management solution providers in the U.S. Also, the region is considered one of the early adopters of advanced technologies. In the U.S., the increase in data collection from unstructured sources and the presence of most of the data centers are the major driving factors for the market.

Asia Pacific is anticipated to be the fastest-growing region during the forecast period. A growing number of data centers and a rapid shift towards digitization are some of the factors that might propel the adoption of the solution in Asia Pacific. China is the second leading country in the globe, the first being the U.S. in data center adoption. As per the analysis, the big data industry in China is predicted to continue to depict steady expansion in the coming years.

In Europe, big data technologies are growing at an astonishing rate, creating a space for adopting data management tools. The increasing use of electronic devices and networks, advances in information and communication technologies, and the digitalization of production processes are generating quantities of data daily by social and economic activities. The U.K., Germany, France, Russia, Nordics and Italy are among the major countries in Europe.

Growing product demand in the Middle East and Africa market is due to the adoption of cloud and IoT, upcoming mobile business intelligence and domain-specific solutions. Similarly, rapid adoption of analytical solutions by businesses of all sizes, major focus on automation and fraud prevention across sectors and growing demand for Software-as-a-Service (SaaS) are some of the factors that are fueling the growth of South America market.

KEY INDUSTRY PLAYERS

Upgrading the Data Management Services and Technologies to Boost Market Share

The data fabric companies operating in the market collaborate to merge their technological expertise in analytics, cloud integration, and AI to offer better insights to the customers as per their needs. Similarly, to expand the market presence, these players are investing in innovations and developments. The innovation can be a new product, new service or enhancement of the existing product intended to create market demand and provide a solution to customer’s or partner’s needs. 

September 2021 – TIBCO Software Inc. introduced its new product TIBCO DQ, along with enhancement to its Data Virtualization and Unify products. The product helps organizations in assembling the agile tool on any cloud.  It also includes AI and ML capabilities for automated detection and monitoring.

December 2021 – NetApp Inc. along with Kyndryl announced an agreement with BMW Group to provide data infrastructure to the automotive organization. NetApp’s fabric helps in accelerating the company’s innovative insights. 

List of the Key Companies Profiled in the Report are:

• IBM Corporation (U.S.)


• Oracle Corporation (U.S.)


• Hewlett Packard Enterprise Company (U.S.)


• SAP SE (Germany)


• NetApp, Inc. (U.S.)


• TIBCO Software Inc. (U.S.)


• Talend Inc. (U.S.)


• Informatica LLC (U.S.)


• Denodo Technologies Inc. (U.S.)


• Neo4j, Inc. (U.S.)

KEY INDUSTRY DEVELOPMENTS:

• October 2021 – NetApp Inc. introduced ONTAP data management software to design a hybrid multi-cloud data management tool. It offers high-performance storage and propelled integration on the public cloud.  


• March 2021 – Hewlett Packard Enterprise Company introduced advancement in its HPE Ezmeral software portfolio to support growing digital transformation. Its HPE Ezmeral is available in a stand-alone platform along with integrated capabilities such as ML Ops and HPE Ezmeral Container Platform.

REPORT COVERAGE

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The data fabric market research report highlights leading regions across the world to offer a better understanding of the user. Furthermore, the report provides insights into the latest industry and market trends and analyzes technologies deployed at a rapid pace at the global level. It further highlights some of the growth-stimulating factors and restraints, helping the reader gain in-depth knowledge about the market.

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