Data Fabric Market to Grow at a CAGR of 10.3% to reach US$ 2,466.12 million from 2021 to 2028

Data Fabric Market Forecast to 2028 - COVID-19 Impact and Global Analysis By Deployment (On-Premise and Cloud), Component (Software and Services), Solution (Data Discovery, Data Ingestion, Data Orchestration, Fabric Data Access, Data Management, and Fabric Management), and End User (BFSI, IT and Telecom, Retail, Healthcare and Pharmaceuticals, and Others)

  • Report Code : TIPTE100000792
  • Category : Technology, Media and Telecommunications
  • Status : Published
  • No. of Pages : 198
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[Research Report] The data fabric market is projected to reach US$ 2,466.12 million by 2028 from US$ 1,241.04 million in 2021; it is estimated to register a CAGR of 10.3% during 2021–2028.

Growing internet usage and rising several connected devices, such as smartphones, laptops, tablets, and computers, directly increase the quantity and variety of business data. For instance, cameras and sensors are used for monitoring purposes and gather location data continuously. The increasing need for meaningful insights from the collected data fuels the adoption of data analytics among businesses. For analytics purposes, the data is extracted from the data fabric.

Further, while analyzing, data fabric integrates data from structured, semi-structured, and unstructured data sets. The variety of business data and the quantity of data sets are increasing daily due to the evolution of digitalization across several business organizations. For instance, according to Domo’s Eighth-Annual Data, consumers spend US$ 1 million online, making 1.4 million video and voice calls, sharing 150,000 messages on Facebook and streaming 404,000 hours of videos on Netflix. Thus, the collective data that needs to be managed is in a vast quantity. Therefore, the data fabric is used for data management. Data fabric helps integrate data from various sources, store large amounts of data, and analyze it seamlessly in one place. Therefore, the demand for data fabric is growing for gathering business information.


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Data Fabric Market: Strategic Insights

Data Fabric Market

  • CAGR (2021 - 2028)
    10.3%
  • Market Size 2021
    US$ 1.24 Billion
  • Market Size 2028
    US$ 2.47 Billion

Market Dynamics

GROWTH DRIVERS
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FUTURE TRENDS
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OPPORTUNITIES
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Key Players

  • Denodo Technologies Inc
  • Hewlett Packard Enterprise Company
  • IBM Corp.
  • Informatica Corporation
  • K2VIEW
  • NetApp, Inc.
  • Oracle Corporation
  • SAP SE
  • Software AG

Regional Overview

  • North America
  • Europe
  • Asia-Pacific
  • South and Central America
  • Middle East and Africa

Market Segmentation

Deployment
  • On-Premise and Cloud
Component
  • Software and Services
Solution
  • Data Discovery
  • Data Ingestion
  • Data Orchestration
  • Fabric Data Access
  • Data Management
  • Fabric Management
End User
  • BFSI
  • IT and Telecom
  • Retail
  • Healthcare and Pharmaceuticals
  • Others
  • Sample PDF showcases the content structure and the nature of the information with qualitative and quantitative analysis.

 

Impact of COVID-19 Pandemic on Data Fabric Market

The COVID-19 pandemic has been affecting most of the business globally. The continuous growth in the number of virus-infected patients compelled governments to put a bar on the transportation of humans and goods. The lockdown imposition has resulted in the lesser production of commodities, goods, and services. Manufacturing, automotive, semiconductor & electronics, oil & gas, mining, aviation, and other industries have witnessed a decline in their operations due to the temporary shutdown of activities.

The COVID-19 pandemic has forced businesses to find new alternatives for speedy recovery and attention to the urgent need to access enough data in crisis times. Further, banks have transitioned to remote sales and service teams and launched digital outreach to customers to make flexible payment arrangements for loans and mortgages. Grocery stores have shifted to online ordering and delivery as their primary business. Schools in many locales have adopted online learning and digital classrooms. These approaches have resulted in the rise of quantity and variety of business data. Thus, growing need for business agility and data accessibility and increasing demand for real-time streaming analytics are among the factors contributing to the growth of the data fabric market


Data Fabric Market Insights

Growing Demand for Real-Time Analytics

Over the past few years, big data analytics has become a major research interest among practitioners and researchers. Private and public investments in the application of big data analytics have surged up to million dollars worldwide. A swift growth in data volume and complexity due to the rising traffic of mobile data and cloud-computing and increasing development and adoption of technologies, such as artificial intelligence (AI) and the internet of things (IoT), propel the demand for big data analytics technologies. These technologies have an enormous potential to transform the business entirely. Big data platforms effectively analyze the huge structured and unstructured data sets. The BFSI industry is one of the biggest industries that spend a significant amount on big data and analytics technology. Potential regions, such as North America and Europe, are highly active in implementing these technologies. Also, the governments of these regions are executing various projects to implement big data into various industries. For instance, the Big Data Europe Project of 2015–2017 received funding from the European Union's Horizon 2020 research and innovation program. The project designed big data application prototypes in several sectors that can offer a huge number of data sets and can progress toward data-driven solution approaches. Therefore, the data is gathered from a data fabric for real-time analytics purposes.

Big data analytics technology is one of the significant drivers in the data fabric market, which helps gain actionable insights from the structured and massive data quantity available in unstructured data from various sources, such as the web and social media. The insight gained from big data analysis helps businesses enhance numerous areas such as customer retention, new markets discovery, optimized customer service, employee retention, and improved customer loyalty. Therefore, the growing demand for real-time analytics helps in the data fabric market growth.

Deployment-Based Market Insights

Based on deployment, the data fabric market is bifurcated into cloud and on-premises. In 2020, the cloud segment led the market and accounted for a larger market share.

Component-Based Market Insights

Based on component, the data fabric market is bifurcated into software and services. In 2020, the software segment accounted for a larger market share.

Solution-Based Market Insights

Based on solution, the data fabric market is segmented into data discovery, data ingestion, data orchestration, fabric data access, data management, and fabric management. In 2020, the data management segment accounted for a larger market share.

End User-Based Market Insights

Based on end user, the data fabric market is segmented into BFSI, IT & telecom, retail, healthcare and pharmaceuticals, and others. In 2020, the BFSI segment led the data fabric market and accounted for the largest market share.

The players operating in the data fabric market adopt strategies such as mergers, acquisitions, and market initiatives to maintain their positions in the market. A few developments by key players are listed below:

  • In March 2021, Denodo Technologies Inc., the industry leader in data virtualization, unveiled Denodo Standard, a new data integration solution accessible on prominent cloud markets. Denodo’s current data virtualization engine is used in the new solution to enable greater performance and productivity, allowing real-time analytics and data services without the need to replicate data into another repository.
  • In September 2020, Denodo Technologies Inc. released a new version of its Denodo platform software. The latest version 8.0 is meant to improve performance by accelerating hybrid/multicloud integration and automating data management using artificial intelligence (AI) and machine learning (ML) with smart query acceleration. The platform supports data virtualization into a logical data fabric by providing intelligent suggestions, hyper-performance, and platform-as-a-service (PaaS) support.

Data Fabric Market Report Scope

Report Attribute Details
Market size in 2021 US$ 1.24 Billion
Market Size by 2028 US$ 2.47 Billion
Global CAGR (2021 - 2028) 10.3%
Historical Data 2019-2020
Forecast period 2022-2028
Segments Covered By Deployment
  • On-Premise and Cloud
By Component
  • Software and Services
By Solution
  • Data Discovery
  • Data Ingestion
  • Data Orchestration
  • Fabric Data Access
  • Data Management
  • Fabric Management
By End User
  • BFSI
  • IT and Telecom
  • Retail
  • Healthcare and Pharmaceuticals
  • Others
Regions and Countries Covered North America
  • US
  • Canada
  • Mexico
Europe
  • UK
  • Germany
  • France
  • Russia
  • Italy
  • Rest of Europe
Asia-Pacific
  • China
  • India
  • Japan
  • Australia
  • Rest of Asia-Pacific
South and Central America
  • Brazil
  • Argentina
  • Rest of South and Central America
Middle East and Africa
  • South Africa
  • Saudi Arabia
  • UAE
  • Rest of Middle East and Africa
Market leaders and key company profiles
  • Denodo Technologies Inc
  • Hewlett Packard Enterprise Company
  • IBM Corp.
  • Informatica Corporation
  • K2VIEW
  • NetApp, Inc.
  • Oracle Corporation
  • SAP SE
  • Software AG
    • Sample PDF showcases the content structure and the nature of the information with qualitative and quantitative analysis.

     

    The global data fabric market has been segmented as mentioned below:

    By Deployment

    • Cloud
    • On-Premises


    By Component

    • Software
    • Services


    By Solution

    • Data Discovery
    • Data Ingestion
    • Data Orchestration
    • Fabric Data Access
    • Data Management
    • Fabric Management

    By End User

    • BFSI
    • IT & Telecom
    • Retail
    • Healthcare & Pharmaceuticals
    • Others

    By Geography

    • North America

      • US
      • Canada
      • Mexico
    • Europe

      • France
      • Germany
      • Italy
      • UK
      • Russia
      • Rest of Europe
    • Asia Pacific (APAC)

      • China
      • India
      • South Korea
      • Japan
      • Australia
      • Rest of APAC
    • Middle East & Africa (MEA)

      • South Africa
      • Saudi Arabia
      • UAE
      • Rest of MEA
    • South America (SAM)

      • Brazil
      • Argentina
      • Rest of SAM

    Company Profiles

    • Denodo Technologies
    • IBM Corporation
    • Informatica Corporation
    • K2View
    • NetApp, Inc.
    • Oracle Corporation
    • SAP SE
    • Software AG
    • Teradata
    • Hewlett Packard Enterprise Development LP (HPE)
    Report Coverage
    Report Coverage

    Revenue forecast, Company Analysis, Industry landscape, Growth factors, and Trends

    Segment Covered
    Segment Covered

    Deployment, Component, Solution and End User

    Regional Scope
    Regional Scope

    North America, Europe, Asia Pacific, Middle East & Africa, South & Central America

    Country Scope
    Country Scope

    Argentina, Australia, Brazil, Canada, China, France, Germany, India, Italy, Japan, Mexico, Russian Federation, Saudi Arabia, South Africa, South Korea, United Arab Emirates, United Kingdom, United States

    Frequently Asked Questions


    Which region has the largest market share in the data fabric market?

    North America held the significant market share in year 2020, along with the notable revenue generation opportunities in Europe and APAC.

    Who are the major vendors in the data fabric market?

    A few key companies operating in the data fabric market are Denodo Technologies; IBM Corporation; Informatica Corporation; K2View; NetApp, Inc.; Oracle Corporation; SAP SE; Software AG; Teradata; and Hewlett Packard Enterprise Development LP (HPE). Several other companies are also functioning in the market and are contributing substantial revenues toward the market's growth.

    What are the future trend for data fabric market?

    With the digital transformation, the use of the cloud-based platform is increasing due to the simplification of the deployment time and the reduction in the deployment cost. Further, the internet infrastructure has matured in developed countries and is flourishing in several developing countries across the world, which allows Components in these countries access to the cloud-based platform. The adoption of data fabric across several applications is associated with the varying end user requirements. However, technological advancements also play a vital role in enhancing the adoption trend by companies and customers. For instance, many financial institutions use financial analytics to gain insights, ensure optimal performance, and make crucial decisions. Financial analytics helps the banking sector enhance the customer experience and assists in risk management.

    Which deployment type-based segment has the largest market share in 2020?

    Based on the deployment type, the data fabric market is segmented into cloud and on-premise. The global data fabric market is dominated by cloud segment in 2020, which accounted for 69.1%.

    What are the market opportunities for data fabric market?

    With the growing population, the number of internet users is increasing. For instance, it has been observed that there are 4.66 Million internet users present globally (59% of the global population). From this total, 92.6% (4.32 Million) users accessed internet through mobile devices. A few countries with the highest internet penetration rate globally are Denmark, the UAE, and Sweden. Further, till 2020, APAC had the largest number of online users with over 2.5 Million and Europe was ranked second with almost 728 million internet users. In 2020, China held the leading market share in the world, followed by India and the US. China has more than 854 million internet users and India has around 560 million online users. Still there are a few MEA countries, such as Oman, Qatar, and Kuwait, where the digitalization and internet are in initial phase. The continuous growth in the internet users also let the industries to transform their business to the digital platform. Also, the need for cloud technology has positively impacted the businesses because of the storage and data transfer facilities and cost-effectiveness.

    What are the driving factors responsible for the growth of Data fabric market?

    Rising Quantity and Variety of Business Data
    Growing Demand for Real-Time Analytics

    The List of Companies - Data Fabric Market

    1. Denodo Technologies Inc
    2. Hewlett Packard Enterprise Company
    3. IBM Corp.
    4. Informatica Corporation
    5. K2VIEW
    6. NetApp, Inc.
    7. Oracle Corporation
    8. SAP SE
    9. Software AG
    10. Teradata Corporation

    The Insight Partners performs research in 4 major stages: Data Collection & Secondary Research, Primary Research, Data Analysis and Data Triangulation & Final Review.

    1. Data Collection and Secondary Research:

    As a market research and consulting firm operating from a decade, we have published many reports and advised several clients across the globe. First step for any study will start with an assessment of currently available data and insights from existing reports. Further, historical and current market information is collected from Investor Presentations, Annual Reports, SEC Filings, etc., and other information related to company’s performance and market positioning are gathered from Paid Databases (Factiva, Hoovers, and Reuters) and various other publications available in public domain.

    Several associations trade associates, technical forums, institutes, societies and organizations are accessed to gain technical as well as market related insights through their publications such as research papers, blogs and press releases related to the studies are referred to get cues about the market. Further, white papers, journals, magazines, and other news articles published in the last 3 years are scrutinized and analyzed to understand the current market trends.

    1. Primary Research:

    The primarily interview analysis comprise of data obtained from industry participants interview and answers to survey questions gathered by in-house primary team.

    For primary research, interviews are conducted with industry experts/CEOs/Marketing Managers/Sales Managers/VPs/Subject Matter Experts from both demand and supply side to get a 360-degree view of the market. The primary team conducts several interviews based on the complexity of the markets to understand the various market trends and dynamics which makes research more credible and precise.

    A typical research interview fulfils the following functions:

    • Provides first-hand information on the market size, market trends, growth trends, competitive landscape, and outlook
    • Validates and strengthens in-house secondary research findings
    • Develops the analysis team’s expertise and market understanding

    Primary research involves email interactions and telephone interviews for each market, category, segment, and sub-segment across geographies. The participants who typically take part in such a process include, but are not limited to:

    • Industry participants: VPs, business development managers, market intelligence managers and national sales managers
    • Outside experts: Valuation experts, research analysts and key opinion leaders specializing in the electronics and semiconductor industry.

    Below is the breakup of our primary respondents by company, designation, and region:

    Research Methodology

    Once we receive the confirmation from primary research sources or primary respondents, we finalize the base year market estimation and forecast the data as per the macroeconomic and microeconomic factors assessed during data collection.

    1. Data Analysis:

    Once data is validated through both secondary as well as primary respondents, we finalize the market estimations by hypothesis formulation and factor analysis at regional and country level.

    • 3.1 Macro-Economic Factor Analysis:

    We analyse macroeconomic indicators such the gross domestic product (GDP), increase in the demand for goods and services across industries, technological advancement, regional economic growth, governmental policies, the influence of COVID-19, PEST analysis, and other aspects. This analysis aids in setting benchmarks for various nations/regions and approximating market splits. Additionally, the general trend of the aforementioned components aid in determining the market's development possibilities.

    • 3.2 Country Level Data:

    Various factors that are especially aligned to the country are taken into account to determine the market size for a certain area and country, including the presence of vendors, such as headquarters and offices, the country's GDP, demand patterns, and industry growth. To comprehend the market dynamics for the nation, a number of growth variables, inhibitors, application areas, and current market trends are researched. The aforementioned elements aid in determining the country's overall market's growth potential.

    • 3.3 Company Profile:

    The “Table of Contents” is formulated by listing and analyzing more than 25 - 30 companies operating in the market ecosystem across geographies. However, we profile only 10 companies as a standard practice in our syndicate reports. These 10 companies comprise leading, emerging, and regional players. Nonetheless, our analysis is not restricted to the 10 listed companies, we also analyze other companies present in the market to develop a holistic view and understand the prevailing trends. The “Company Profiles” section in the report covers key facts, business description, products & services, financial information, SWOT analysis, and key developments. The financial information presented is extracted from the annual reports and official documents of the publicly listed companies. Upon collecting the information for the sections of respective companies, we verify them via various primary sources and then compile the data in respective company profiles. The company level information helps us in deriving the base number as well as in forecasting the market size.

    • 3.4 Developing Base Number:

    Aggregation of sales statistics (2020-2022) and macro-economic factor, and other secondary and primary research insights are utilized to arrive at base number and related market shares for 2022. The data gaps are identified in this step and relevant market data is analyzed, collected from paid primary interviews or databases. On finalizing the base year market size, forecasts are developed on the basis of macro-economic, industry and market growth factors and company level analysis.

    1. Data Triangulation and Final Review:

    The market findings and base year market size calculations are validated from supply as well as demand side. Demand side validations are based on macro-economic factor analysis and benchmarks for respective regions and countries. In case of supply side validations, revenues of major companies are estimated (in case not available) based on industry benchmark, approximate number of employees, product portfolio, and primary interviews revenues are gathered. Further revenue from target product/service segment is assessed to avoid overshooting of market statistics. In case of heavy deviations between supply and demand side values, all thes steps are repeated to achieve synchronization.

    We follow an iterative model, wherein we share our research findings with Subject Matter Experts (SME’s) and Key Opinion Leaders (KOLs) until consensus view of the market is not formulated – this model negates any drastic deviation in the opinions of experts. Only validated and universally acceptable research findings are quoted in our reports.

    We have important check points that we use to validate our research findings – which we call – data triangulation, where we validate the information, we generate from secondary sources with primary interviews and then we re-validate with our internal data bases and Subject matter experts. This comprehensive model enables us to deliver high quality, reliable data in shortest possible time.

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