Data Fabric Market

Data Fabric Market by Component (Solutions & Services), Type (Disk-Based & In-Memory), Application (Fraud Detection & Security Management, Preventive Maintenance Analysis), Vertical (BFSI, Healthcare & Life Sciences) and Region - Global Forecast to 2027

Report Code: TC 5233 Dec, 2022, by marketsandmarkets.com

Data Fabric Market Latest Trends & Key Market Insights

The global data fabric market size was valued at USD 1.6 billion in 2022 and is expected to expand at a CAGR of 30.9% during the forecast period, reaching revenue forecast $6.2 billion by 2027. The market growth is driven by factors like positive ROI and increasing demand for cloud-based data fabric solutions, offering scalability and potential opportunities for vendors and end users worldwide.

Data Fabric Market

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Data Fabric Market Dynamics

Driver: Increasing volume and variety of business data

Data fabric offers unique opportunities to integrate and analyze variety of data sets that if not might be ignored. The rising evolution of digital and smart technologies across varied business functions such as HR, finance, operations, supply chain to boost the market growth. Various data generated from social media and weblogs, and data from other sources such as sensor data, geo-location data, machine data are growing tremendously at a rapid pace. Most of the leading brands and organizations are implementing data fabric solutions to gain real-time insights from such rising data.. Data fabric facilitates data from a variety of sources, supports firms to store large amounts of data, and analyze those data seamlessly in some place. Data fabric offers various benefits, such as the ability to derive value from any form of data; storing all types of structured and unstructured data; and centralized access to data via a single, unified view of data across organizations.

Restraints: Issues related to integrating legacy systems

The major factor that hinders the growth of data fabric solutions across the globe is the administrative philosophy, which is built on storage and evaluating business-related data using old-fashioned techniques, such as data warehouses and data marts. Therefore, the most substantial task these days is to aware businesses about the storage and analyze of critical data in real-time across various business events to derive a sustainable impact from data fabric adoption. Hence,it is critical to incorporate such legacy data management systems combined with existing popular systems. The legacy systems do not have well-defined interfaces and theIT teams lack the requisite skills. The advantages and propositions of such data management technologies like data fabric needs awareness across the leading organizations globally.

Opportunity: Generating positive return on investment

Data fabric can generate a positive RoI for organizations in many ways. Data fabric systems, at their core, improve the efficiency of operations. They make it possible to eliminate paper forms and minimize handoff delays. Analytical systems focus on the effectiveness of business operations. They make it possible to target the best prospects, price risk more accurately, and make better use of available resources. In general, data fabric translates this effectiveness into a positive RoI in one of several ways. It offers significant throughput with lower latency than the traditional low-latency IP-based middleware. Data fabric achieves breakthrough performance with low Central Processing Unit (CPU) overhead, enabling business applications to do even more critical work faster. Ultimately, the most expensive resources can be assigned where they will make the most difference, further adding value to the solution.

Challenge: Reluctance in investment in new technologies

Adopting new technology or changes in existing ones requires considerable effort and costs for the company. Embracing new technologies such as data fabric, meta data management, data catalog across leading brands depends on numerous factors, such as the business value of the technology, compatibility with the existing infrastructure, complexity, budget limitations, administrative policies, and techniques. The total cost of ownership of the new technology covers initial set-up costs due toIT spending and infrastructure needs, training & recruiting costs, and maintenance and support costs.. Few of the other factors that affect the adoption new data management technologies includes the significance of the stakeholders and their acceptance of the change.Additionally, old-fashioned applications bring a complex interfaces, which may cause incompatibility issueswith third-party software which create inaccuracies. The integration of data generated from various channel can be a difficult task for enterprises which will degrade the overallperformance across the firms. Hence, the above mentioned factors push organizations hesitant to adopt data fabric solutions and services.

Services segment to register the higher growth rate during the forecast period

Based on services, the data fabric market is segmented into managed and professional services.. Increasing adoption of data fabric services by enterprises to help deploy a proper platform to run and support their applications rather than investing in the software leads to a higher demands for services. Managed services are completely provided by the third-party vendor and offer clients on-time conveyance.

In-memory segment to register the highest CAGR during the forecast period

Rising of huge volume and variety of data stored across data lakes to boost the demand for the growth of data fabric solution and services across the globe. Leadingorganizations are implementing data fabric solutions in order to handle and locate data among dula repositories. Hence, data fabric solutions can be offered across the firms in two ways: disk-based and in-memory.

In-memory data fabric type to grow at a rapid pace in coming years owing to the rising need to perform low-latency data access to support real-time analytics and predictive analytics to enable real-time data requirements.. In-memory data fabric falls between applications and different data sources as it delivers crucial data storage facilities across the business applications. The major benefit of an In-Memory Data Fabric type is that it offered in-memory computing components which can be used separately, while being well integrated with each other.

North America to have the largest market size during the forecast period

The major countries covered in North America are the US and Canada. The North American region, being the primary adopter of data fabric technology, is the major revenue-generating region in the global data fabric market. It is expected to grow rapidly during the forecast period due to the expanding use of data in various BI tools and the higher adoption of digital technologies in areas such as BFSI, telecom & IT, healthcare, and manufacturing. Moreover, it is a well-established economy, witnessing large-scale investments in digitalized infrastructure. The North American region has been extremely open toward adopting new and innovative technologies and is expected to provide market growth opportunities to data fabric vendors, as it is expected to witness an exponential growth of IT device-based generated data and stringent laws and policies for safeguarding the data. Investment in various technologies such as AI, IoT, and big data would boost the growth of the region in the data fabric market.

Data Fabric Market Size, and Share

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Key Market Players

The Data Fabric solution and service providers have implemented various types of organic and inorganic growth strategies, such as new product launches, product upgradations, partnerships and agreements, business expansions, and mergers and acquisitions to strengthen their offerings in the market. Some major players in the Data Fabric market include IBM (US), SAP (Germany), Oracle (US), Informatica (US), Talend (US), Denodo (US), HPE (US), Dell Technologies (US), NetApp (US), Teradata (US), Splunk (US), TIBCO Software (US), Software AG (Germany), Intenda (South Africa), Radiant Logic (US), Incorta (US), Idera (US), K2View (US), Cinchy (Canada), Precisely (US), Global IDs (US), Alex Solutions (Australia), Iguazio (Israel), CluedIn (Denmark), QOMPLX (US), HEXstream (US), Starburst Data (US), Gluent (US), Stardog (US), Nexla (US), and Atlan (Singapore).

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Scope of the Report

Report Metrics

Details

Market size value in 2022 USD 1.6 billion
Revenue forecast in 2027 USD 6.2 billion
Growth rate CAGR of 30.9% from 2022 to 2027
Market size available for years 2018–2027
Base year considered 2021
Forecast period 2022–2027
Forecast units USD (Million/Billion)
Segments covered Component, Type, Organization Size, Deployment Mode, Application, Vertical and Region
Geographies covered North America, Europe, Asia Pacific, Middle East & Africa, and Latin America
Companies covered IBM (US), SAP (Germany), Oracle (US), Informatica (US), Talend (US), Denodo (US), HPE (US), Dell Technologies (US), NetApp (US), Teradata (US), Splunk (US), TIBCO Software (US), Software AG (Germany), Intenda (South Africa), Radiant Logic (US), Incorta (US), Idera (US), K2View (US), Cinchy (Canada), Precisely (US), Global IDs (US), Alex Solutions (Australia), Iguazio (Israel), CluedIn (Denmark), QOMPLX (US), HEXstream (US), Starburst Data (US), Gluent (US), Stardog (US), Nexla (US), and Atlan (Singapore)

This research report categorizes the Data Fabric market based on component, type, organization size, deployment mode, applications, verticals and region.

By Component:
  • Solutions
  • Services
By Type:
  • Disk-based
  • In-memory
By Organization Size:
  • Large Enterprises
  • SMEs
By Deployment Mode:
  • On-premises
  • Cloud
By Applications:
  • Fraud Detection & Security Management
  • Government, Risk & Compliance Management
  • Customer Intelligence
  • Sales & Marketing Management
  • Business Process Management
  • Preventative Maintenance Analysis
  • Other Applications
By Verticals:
  • BFSI
  • Government, Defense & Public Agencies
  • Manufacturing
  • Healthcare & Life Sciences
  • Energy & Mining
  • Telecom
  • Media & Entertainment
  • Retail & eCommerce
  • Other Verticals
By Region:
  • North America
    • US
    • Canada
  • Europe
    • UK
    • Germany
    • France
    • Rest of Europe
  • Asia Pacific
    • India
    • Japan
    • China
    • Australia
    • Rest of Asia Pacific
  • Middle East and Africa
    • United Arab Emirates
    • Saudi Arabia
    • South Africa
    • Rest of Middle East and Africa
  • Latin Amercia
    • Brazil
    • Mexico
    • Rest of Latin America

Recent Developments:

  • In October 2022, Informatica, an enterprise cloud data management leader, announced its inclusion as an initial partner of the Microsoft Intelligent Data Platform Partner Ecosystem. Microsoft announced the launch of this ecosystem during its Microsoft Ignite 2022. This initiative represented an investment both companies are making toward helping enterprises truly operationalize AI with trusted and governed data.
  • In July 2022, IBM announced its acquisition of Databand.ai, a leading provider of data observability software that helps organizations fix issues with the data, including errors, pipeline failures, and poor quality before it impacts the bottom line.
  • In June 2022, Informatica announced that the Informatica Enterprise Data Integrator would be offered natively on Snowflake Marketplace as an Accelerated Program partner for the Snowflake Native Application Framework, which would, until then, be in private preview. Snowflake customers would be able to use enterprise data source integrations for apps such as Google, Microsoft, Oracle, Salesforce, and SAP offered through the IDMC platform directly from the existing Snowflake accounts using this new application.
  • In June 2022, HPE introduced HPE GreenLake for Data Fabric, a fully managed service that combined the industry’s first hybrid analytics-ready data fabric with HPE GreenLake hardware, software, and services. This service would keep IT in control with a single view to manage and monitor distributed data. HPE GreenLake for Data Fabric was powered by HPE Ezmeral Data Fabric, which would unify files, objects, NoSQL databases, and real-time and batch streams across distributed locations. Unifying and preparing data for processing increases data integrity because errors and duplicate files are removed.
  • In October 2021, NetApp announced new additions and enhanced capabilities across its hybrid cloud portfolio to help organizations modernize their IT infrastructures and accelerate digital transformation. Delivering new secure ways to consume and operate data services on-premises and in the cloud, NetApp hybrid cloud solutions would make it simpler for enterprise customers to put the data to work wherever and whenever needed.
  • In September 2020, Talend announced an update for Talend Data Fabric. The new update included new capabilities within Talend Trust Score. Talend Trust Score instantly would assess the reliability of an organization’s data and intelligently diagnoses and resolves data integrity issues.

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TABLE OF CONTENTS
 
1 INTRODUCTION (Page No. - 29)
    1.1 STUDY OBJECTIVES 
    1.2 MARKET DEFINITION 
           1.2.1 INCLUSIONS AND EXCLUSIONS
    1.3 MARKET SCOPE 
           1.3.1 MARKET SEGMENTATION
           1.3.2 REGIONS COVERED
           1.3.3 YEARS CONSIDERED
    1.4 CURRENCY CONSIDERED 
           TABLE 1 UNITED STATES DOLLAR EXCHANGE RATE, 2019–2021
    1.5 STAKEHOLDERS 
    1.6 SUMMARY OF CHANGES 
 
2 RESEARCH METHODOLOGY (Page No. - 34)
    2.1 RESEARCH DATA 
           FIGURE 1 DATA FABRIC MARKET: RESEARCH DESIGN
           2.1.1 SECONDARY DATA
           2.1.2 PRIMARY DATA
                    TABLE 2 PRIMARY INTERVIEWS
                    2.1.2.1 Breakup of primary profiles
                    2.1.2.2 Key industry insights
    2.2 MARKET BREAKUP AND DATA TRIANGULATION 
           FIGURE 2 DATA TRIANGULATION
    2.3 MARKET SIZE ESTIMATION 
           FIGURE 3 MARKET: TOP-DOWN AND BOTTOM-UP APPROACHES
           2.3.1 TOP-DOWN APPROACH
           2.3.2 BOTTOM-UP APPROACH
                    FIGURE 4 MARKET SIZE ESTIMATION METHODOLOGY - APPROACH 1 (SUPPLY SIDE): REVENUE FROM SOLUTIONS/SERVICES OF MARKET
                    FIGURE 5 MARKET SIZE ESTIMATION METHODOLOGY - APPROACH 2, BOTTOM-UP (SUPPLY SIDE): COLLECTIVE REVENUE FROM ALL SOLUTIONS/SERVICES OF MARKET
                    FIGURE 6 MARKET SIZE ESTIMATION METHODOLOGY - APPROACH 3, BOTTOM-UP (SUPPLY SIDE): COLLECTIVE REVENUE FROM ALL SOLUTIONS/ SERVICES OF DATA FABRIC MARKET
                    FIGURE 7 MARKET SIZE ESTIMATION METHODOLOGY - APPROACH 4, BOTTOM-UP (DEMAND SIDE): SHARE OF DATA FABRIC THROUGH OVERALL DATA FABRIC SPENDING
    2.4 MARKET FORECAST 
           TABLE 3 FACTOR ANALYSIS
    2.5 COMPANY EVALUATION MATRIX METHODOLOGY 
           FIGURE 8 COMPANY EVALUATION MATRIX: CRITERIA WEIGHTAGE
    2.6 EVALUATION MATRIX METHODOLOGY FOR STARTUPS/SMES 
           FIGURE 9 EVALUATION MATRIX FOR STARTUPS/SMES: CRITERIA WEIGHTAGE
    2.7 RESEARCH ASSUMPTIONS 
    2.8 LIMITATIONS AND RISK ASSESSMENT 
 
3 EXECUTIVE SUMMARY (Page No. - 47)
    TABLE 4 GLOBAL DATA FABRIC MARKET SIZE AND GROWTH RATE, 2018–2021 (USD MILLION, Y-O-Y %) 
    TABLE 5 GLOBAL MARKET SIZE AND GROWTH RATE, 2022–2027 (USD MILLION, Y-O-Y %) 
    FIGURE 10 SOLUTIONS SEGMENT TO DOMINATE MARKET IN 2022 
    FIGURE 11 PROFESSIONAL SERVICES TO ACCOUNT FOR LARGER SHARE IN 2022 
    FIGURE 12 SUPPORT & MAINTENANCE SEGMENT TO ACCOUNT FOR LARGEST MARKET SHARE IN 2022 
    FIGURE 13 DISK-BASED SEGMENT TO DOMINATE MARKET IN 2022 
    FIGURE 14 FRAUD DETECTION & SECURITY MANAGEMENT SEGMENT TO BE LARGEST APPLICATION SEGMENT IN 2022 
    FIGURE 15 LARGE ENTERPRISES TO DOMINATE MARKET IN 2022 
    FIGURE 16 ON-PREMISES SEGMENT TO ACCOUNT FOR LARGER MARKET SHARE IN 2022 
    FIGURE 17 BFSI VERTICAL TO HOLD LARGEST MARKET SIZE DURING FORECAST PERIOD 
    FIGURE 18 ASIA PACIFIC TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD 
 
4 PREMIUM INSIGHTS (Page No. - 52)
    4.1 ATTRACTIVE OPPORTUNITIES FOR PLAYERS IN DATA FABRIC MARKET 
           FIGURE 19 EMERGING NEED FOR BUSINESS AGILITY WITH ACCESSIBILITY AND INCREASING VOLUME AND VARIETY OF BUSINESS DATA
    4.2 MARKET, BY KEY APPLICATION 
           FIGURE 20 PREVENTIVE MAINTENANCE ANALYSIS SEGMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
    4.3 NORTH AMERICA: MARKET, BY COMPONENT AND KEY VERTICAL 
           FIGURE 21 SOLUTIONS AND BFSI SEGMENTS TO ACCOUNT FOR SIGNIFICANT MARKET SHARE IN 2022
    4.4 MARKET, BY REGION 
           FIGURE 22 NORTH AMERICA TO ACCOUNT FOR LARGEST SHARE IN 2022
 
5 MARKET OVERVIEW AND INDUSTRY TRENDS (Page No. - 54)
    5.1 INTRODUCTION 
    5.2 DATA FABRIC MARKET: ARCHITECTURE 
           FIGURE 23 ARCHITECTURE: MARKET
    5.3 KEY PILLARS OF DATA FABRIC 
    5.4 MARKET DYNAMICS 
           FIGURE 24 MARKET: DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES
           5.4.1 DRIVERS
                    5.4.1.1 Increasing volume and variety of business data
                    5.4.1.2 Emerging need for business agility and accessibility
                    5.4.1.3 Rising demand for real-time streaming analytics
           5.4.2 RESTRAINTS
                    5.4.2.1 Lack of awareness regarding implementation of data fabric solutions
                    5.4.2.2 Issues related to integrating legacy systems
           5.4.3 OPPORTUNITIES
                    5.4.3.1 Generating positive return on investment
                    5.4.3.2 Growing demand for cloud-based data fabric solutions for better scalability
                    5.4.3.3 Increasing advancements in in-memory computing
           5.4.4 CHALLENGES
                    5.4.4.1 Reluctance in investment in new technologies
                    5.4.4.2 Lack of sufficiently skilled workforce
    5.5 ECOSYSTEM 
           FIGURE 25 DATA FABRIC MARKET: ECOSYSTEM
    5.6 CASE STUDY ANALYSIS 
           5.6.1 CASE STUDY 1: BMC TRANSFORMED COMPLEX TECHNOLOGY INTO EXTRAORDINARY BUSINESS PERFORMANCE WITH DATA FABRIC
           5.6.2 CASE STUDY 2: DUCATI AND NETAPP BUILT DATA FABRIC SOLUTIONS TO BOOST INNOVATION
           5.6.3 CASE STUDY 3: INGENICO USED HPE EZMERAL DATA FABRIC SOLUTION TO DEVELOP SINGLE UNIFIED DATA PLATFORM
           5.6.4 CASE STUDY 4: LEADING HEALTHCARE PROVIDER USED HPE EZMERAL DATA FABRIC TO BRING TOGETHER DISPARATE DATA SOURCES INTO ONE DATA LAKE
           5.6.5 CASE STUDY 5: HACKENSACK MERIDIAN HEALTH MASTERED AND CATALOG PATIENT DATA
           5.6.6 CASE STUDY 6: CITY FURNITURE LEVERAGED DENODO PLATFORM TO ESTABLISH LOGICAL DATA FABRIC IN SUPPORT OF DIGITAL TRANSFORMATION
           5.6.7 CASE STUDY 7: SYRACUSE UNIVERSITY IMPROVED UNIVERSITY OPERATIONS AND ACADEMIC CAPABILITY WITH UNIFIED DATA FABRIC
           5.6.8 CASE STUDY 8: BREMBO ASURION ACHIEVED CLOUD MODERNIZATION WITH PROPER DATA SECURITY AND GOVERNANCE IN PLACE
           5.6.9 CASE STUDY 9: KPMG IMPLEMENTED INFORMATICA MDM SOLUTIONS TO HELP OPTIMIZE DATA FOR DIGITAL TRANSFORMATION
    5.7 SUPPLY CHAIN ANALYSIS 
           FIGURE 26 SUPPLY CHAIN ANALYSIS
           TABLE 6 DATA FABRIC MARKET: SUPPLY CHAIN
    5.8 REGULATORY IMPLICATIONS 
           5.8.1 GENERAL DATA PROTECTION REGULATION
           5.8.2 HEALTH INSURANCE PORTABILITY AND ACCOUNTABILITY ACT
           5.8.3 PAYMENT CARD INDUSTRY DATA SECURITY STANDARD
           5.8.4 SARBANES-OXLEY ACT OF 2002
           5.8.5 GRAMM–LEACH–BLILEY ACT
           5.8.6 ISO/IEC 27001
    5.9 PATENT ANALYSIS 
           5.9.1 METHODOLOGY
           5.9.2 DOCUMENT TYPE
                    TABLE 7 PATENTS FILED, 2019–2022
           5.9.3 INNOVATION AND PATENT APPLICATIONS
                    FIGURE 27 PATENTS GRANTED, 2019–2022
           5.9.4 TOP APPLICANTS
                    FIGURE 28 TOP 10 PATENT APPLICANTS, 2019–2022
    5.10 KEY CONFERENCES AND EVENTS, 2022–2023 
           TABLE 8 DATA FABRIC MARKET: DETAILED LIST OF CONFERENCES AND EVENTS
    5.11 TECHNOLOGY ANALYSIS 
           5.11.1 ARTIFICIAL INTELLIGENCE AND INTERNET OF THINGS
           5.11.2 ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING
           5.11.3 BIG DATA
    5.12 PRICING ANALYSIS 
                    TABLE 9 AVERAGE SELLING PRICING ANALYSIS, 2022
    5.13 ROLE OF DATA FABRIC ACROSS MAJOR BUSINESS FUNCTIONS 
           5.13.1 HUMAN RESOURCES
           5.13.2 SALES AND MARKETING
           5.13.3 FINANCE
           5.13.4 SUPPLY CHAIN AND LOGISTICS
    5.14 PORTER’S FIVE FORCES ANALYSIS 
                    TABLE 10 IMPACT OF EACH FORCE ON DATA FABRIC MARKET
                    FIGURE 29 PORTER’S FIVE FORCES ANALYSIS
           5.14.1 THREAT OF NEW ENTRANTS
           5.14.2 THREAT OF SUBSTITUTES
           5.14.3 BARGAINING POWER OF SUPPLIERS
           5.14.4 BARGAINING POWER OF BUYERS
           5.14.5 INTENSITY OF COMPETITIVE RIVALRY
    5.15 MARKET: RECESSION IMPACT 
                    FIGURE 30 MARKET TO WITNESS DECLINE IN Y-O-Y GROWTH IN 2022
    5.16 KEY STAKEHOLDERS AND BUYING CRITERIA 
           5.16.1 KEY STAKEHOLDERS IN BUYING PROCESS
                    FIGURE 31 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE APPLICATIONS
                    TABLE 11 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE APPLICATIONS
           5.16.2 BUYING CRITERIA
                    FIGURE 32 KEY BUYING CRITERIA FOR TOP THREE APPLICATIONS
                    TABLE 12 KEY BUYING CRITERIA FOR TOP THREE APPLICATIONS
    5.17 TRENDS/DISRUPTIONS IMPACTING BUYERS/CLIENTS OF MARKET 
                    FIGURE 33 MARKET: TRENDS/DISRUPTIONS IMPACTING BUYERS/CLIENTS
 
6 DATA FABRIC MARKET, BY COMPONENT (Page No. - 82)
    6.1 INTRODUCTION 
           6.1.1 COMPONENTS: MARKET DRIVERS
                    FIGURE 34 SERVICES SEGMENT TO GROW AT HIGHER CAGR DURING FORECAST PERIOD
                    TABLE 13 MARKET, BY COMPONENT, 2018–2021 (USD MILLION)
                    TABLE 14 MARKET, BY COMPONENT, 2022–2027 (USD MILLION)
    6.2 SOLUTIONS 
           6.2.1 NEED TO GAIN VISIBILITY INTO HIGHLY COMPLEX AND HETEROGENEOUS DATA LANDSCAPES TO DRIVE MARKET GROWTH
                    TABLE 15 SOLUTIONS: MARKET, BY REGION, 2018–2021 (USD MILLION)
                    TABLE 16 SOLUTIONS: MARKET, BY REGION, 2022–2027 (USD MILLION)
    6.3 SERVICES 
           6.3.1 DATA FABRIC SERVICES HELP DEPLOY PLATFORMS TO RUN AND SUPPORT APPLICATIONS
           6.3.2 PROFESSIONAL SERVICES
                    TABLE 23 PROFESSIONAL SERVICES: MARKET, BY REGION, 2018–2021 (USD MILLION)
                    TABLE 24 PROFESSIONAL SERVICES: MARKET, BY REGION, 2022–2027 (USD MILLION)
                    6.3.2.1 Consulting
                    6.3.2.2 Education and training
                               TABLE 27 EDUCATION AND TRAINING: MARKET, BY REGION, 2018–2021 (USD MILLION)
                               TABLE 28 EDUCATION AND TRAINING: MARKET, BY REGION, 2022–2027 (USD MILLION)
                    6.3.2.3 Support and maintenance
                               TABLE 29 SUPPORT AND MAINTENANCE: MARKET, BY REGION, 2018–2021 (USD MILLION)
                               TABLE 30 SUPPORT AND MAINTENANCE: MARKET, BY REGION, 2022–2027 (USD MILLION)
           6.3.3 MANAGED SERVICES
 
7 DATA FABRIC MARKET, BY TYPE (Page No. - 92)
    7.1 INTRODUCTION 
           7.1.1 TYPES: MARKET DRIVERS
                    FIGURE 37 IN-MEMORY TYPE SEGMENT TO GROW AT HIGHER CAGR DURING FORECAST PERIOD
                    TABLE 33 MARKET, BY TYPE, 2018–2021 (USD MILLION)
                    TABLE 34 MARKET, BY TYPE, 2022–2027 (USD MILLION)
    7.2 DISK-BASED 
           7.2.1 DISK-BASED DATA FABRIC OFFERS FLEXIBILITY TO MIGRATE DATA REDUCING COST OF OWNERSHIP
                    TABLE 35 DISK-BASED: MARKET, BY REGION, 2018–2021 (USD MILLION)
                    TABLE 36 DISK-BASED: MARKET, BY REGION, 2022–2027 (USD MILLION)
    7.3 IN-MEMORY 
           7.3.1 RESILIENT WEB ACCELERATION AND CACHE AS A SERVICE FEATURES TO BE OFFERED TO END USERS
                    TABLE 37 IN-MEMORY: MARKET, BY REGION, 2018–2021 (USD MILLION)
                    TABLE 38 IN-MEMORY: MARKET, BY REGION, 2022–2027 (USD MILLION)
 
8 DATA FABRIC MARKET, BY ORGANIZATION SIZE (Page No. - 97)
    8.1 INTRODUCTION 
           8.1.1 ORGANIZATION SIZE: MARKET DRIVERS
                    FIGURE 38 LARGE ENTERPRISES TO HOLD LARGER MARKET SIZE DURING FORECAST PERIOD
    8.2 LARGE ENTERPRISES 
           8.2.1 DATA FABRIC HELPS LARGE ENTERPRISES GATHER DATA TO CREATE INFORMATION NETWORK POWERING BUSINESS APPLICATIONS
    8.3 SMALL AND MEDIUM-SIZED ENTERPRISES 
           8.3.1 DATA FABRIC SOLUTIONS HELP INCREASE PRODUCTIVITY, BOOST MARKETING STRATEGIES, AND STREAMLINE BUSINESS PROCESSES
                    TABLE 43 SMALL AND MEDIUM-SIZED ENTERPRISES: MARKET, BY REGION, 2018–2021 (USD MILLION)
                    TABLE 44 SMALL AND MEDIUM-SIZED ENTERPRISES: MARKET, BY REGION, 2022–2027 (USD MILLION)
 
9 MARKET, BY DEPLOYMENT MODE (Page No. - 102)
    9.1 INTRODUCTION 
           9.1.1 DEPLOYMENT MODES: MARKET DRIVERS
                    FIGURE 39 CLOUD SEGMENT TO GROW AT HIGHER CAGR DURING FORECAST PERIOD
                    TABLE 45 MARKET, BY DEPLOYMENT MODE, 2018–2021 (USD MILLION)
                    TABLE 46 MARKET, BY DEPLOYMENT MODE, 2022–2027 (USD MILLION)
    9.2 ON-PREMISES 
           9.2.1 DEVELOPMENT OF IN-HOUSE IT INFRASTRUCTURE FOR BETTER SECURITY
                    TABLE 47 ON-PREMISES: MARKET, BY REGION, 2018–2021 (USD MILLION)
                    TABLE 48 ON-PREMISES: MARKET, BY REGION, 2022–2027 (USD MILLION)
    9.3 CLOUD 
           9.3.1 COST-SAVING BENEFIT LEADS TO INCREASE IN OPERATIONAL EFFICIENCY AND SCALABILITY
                    TABLE 49 CLOUD: MARKET, BY REGION, 2018–2021 (USD MILLION)
                    TABLE 50 CLOUD: MARKET, BY REGION, 2022–2027 (USD MILLION)
 
10 DATA FABRIC MARKET, BY APPLICATION (Page No. - 107)
     10.1 INTRODUCTION 
             10.1.1 APPLICATIONS: MARKET DRIVERS
                       FIGURE 40 PREVENTIVE MAINTENANCE ANALYSIS SEGMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
                       TABLE 51 MARKET, BY APPLICATION, 2018–2021 (USD MILLION)
                       TABLE 52 MARKET, BY APPLICATION, 2022–2027 (USD MILLION)
     10.2 FRAUD DETECTION & SECURITY MANAGEMENT 
             10.2.1 DETECTING FRAUD AND SECURITY THREATS IN REAL TIME BY ORGANIZATIONS TO DRIVE MARKET
                       TABLE 53 FRAUD DETECTION & SECURITY MANAGEMENT: MARKET, BY REGION, 2018–2021 (USD MILLION)
                       TABLE 54 FRAUD DETECTION & SECURITY MANAGEMENT: MARKET, BY REGION, 2022–2027 (USD MILLION)
     10.3 GOVERNANCE, RISK & COMPLIANCE MANAGEMENT 
             10.3.1 DATA FABRIC ENABLES DEFINING GUIDELINES AND CONTROLS FOR ORGANIZATIONAL GOVERNANCE PROCESS
                       TABLE 55 GOVERNANCE, RISK & COMPLIANCE MANAGEMENT: MARKET, BY REGION, 2018–2021 (USD MILLION)
                       TABLE 56 GOVERNANCE, RISK & COMPLIANCE MANAGEMENT: MARKET, BY REGION, 2022–2027 (USD MILLION)
     10.4 CUSTOMER INTELLIGENCE 
             10.4.1 ORGANIZATIONS CAN CREATE 360-DEGREE UNIFIED CUSTOMER PROFILES BY IMPLEMENTING DATA FABRIC SOLUTIONS
                       TABLE 57 CUSTOMER INTELLIGENCE: DATA FABRIC MARKET, BY REGION, 2018–2021 (USD MILLION)
                       TABLE 58 CUSTOMER INTELLIGENCE: MARKET, BY REGION, 2022–2027 (USD MILLION)
     10.5 SALES & MARKETING MANAGEMENT 
             10.5.1 DATA FABRIC HELPS SALES & MARKETING TEAMS EXTRACT DATA FROM EMBEDDED DEVICES PROVIDING DEEPER INSIGHTS INTO CUSTOMER BEHAVIORS
                       TABLE 59 SALES & MARKETING MANAGEMENT: MARKET, BY REGION, 2018–2021 (USD MILLION)
                       TABLE 60 SALES & MARKETING MANAGEMENT: MARKET, BY REGION, 2022–2027 (USD MILLION)
     10.6 BUSINESS PROCESS MANAGEMENT 
             10.6.1 DATA FABRIC SOLUTIONS HELP BUSINESSES TRANSFORM BOOSTING ADOPTION OF BUSINESS PROCESS MANAGEMENT
                       TABLE 61 BUSINESS PROCESS MANAGEMENT: MARKET, BY REGION, 2018–2021 (USD MILLION)
                       TABLE 62 BUSINESS PROCESS MANAGEMENT: MARKET, BY REGION, 2022–2027 (USD MILLION)
     10.7 PREVENTATIVE MAINTENANCE ANALYSIS 
             10.7.1 DATA FABRIC ACCESSES INSIGHTS FROM VARIOUS DATA POINTS TO PREDICT PREVENTIVE MAINTENANCE CYCLE
                       TABLE 63 PREVENTATIVE MAINTENANCE ANALYSIS: MARKET, BY REGION, 2018–2021 (USD MILLION)
                       TABLE 64 PREVENTATIVE MAINTENANCE ANALYSIS: MARKET, BY REGION, 2022–2027 (USD MILLION)
     10.8 OTHER APPLICATIONS 
               TABLE 65 OTHER APPLICATIONS: MARKET, BY REGION, 2018–2021 (USD MILLION)
               TABLE 66 OTHER APPLICATIONS: MARKET, BY REGION, 2022–2027 (USD MILLION)
 
11 DATA FABRIC MARKET, BY VERTICAL (Page No. - 117)
     11.1 INTRODUCTION 
             11.1.1 VERTICALS: MARKET DRIVERS
             11.1.2 DATA FABRIC: ENTERPRISE USE CASES
                       FIGURE 41 HEALTHCARE & LIFE SCIENCES VERTICAL TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
                       TABLE 67 MARKET, BY VERTICAL, 2018–2021 (USD MILLION)
                       TABLE 68 MARKET, BY VERTICAL, 2022–2027 (USD MILLION)
     11.2 BFSI 
             11.2.1 DATA FABRIC HELPS BUILD HYBRID CLOUD FOUNDATIONS TO ENSURE DIGITAL TRUST AND IMPROVE DIGITAL RESILIENCE
                       TABLE 69 BFSI: MARKET, BY REGION, 2018–2021 (USD MILLION)
                       TABLE 70 BFSI: MARKET, BY REGION, 2022–2027 (USD MILLION)
     11.3 GOVERNMENT, DEFENSE, & PUBLIC AGENCIES 
             11.3.1 ADOPTION OF DATA FABRIC SOLUTIONS HELPS STRENGTHEN DATA COMPUTING ABILITIES
                       TABLE 71 GOVERNMENT, DEFENSE, & PUBLIC AGENCIES: MARKET, BY REGION, 2018–2021 (USD MILLION)
                       TABLE 72 GOVERNMENT, DEFENSE, & PUBLIC AGENCIES: MARKET, BY REGION, 2022–2027 (USD MILLION)
     11.4 TELECOM 
             11.4.1 HIGH AMOUNT OF DATA GENERATED REQUIRES BETTER DATA MANAGEMENT LEADING TO ADOPTION OF DATA FABRIC SOLUTIONS
                       TABLE 73 TELECOM: DATA FABRIC MARKET, BY REGION, 2018–2021 (USD MILLION)
                       TABLE 74 TELECOM: MARKET, BY REGION, 2022–2027 (USD MILLION)
     11.5 RETAIL & ECOMMERCE 
             11.5.1 INCREASING USE OF IOT DEVICES AND OPTIMIZATION OF CURRENT MARKET SCENARIO TO DRIVE MARKET
                       TABLE 75 RETAIL & ECOMMERCE: MARKET, BY REGION, 2018–2021 (USD MILLION)
                       TABLE 76 RETAIL & ECOMMERCE: MARKET, BY REGION, 2022–2027 (USD MILLION)
     11.6 MANUFACTURING 
             11.6.1 DATA FABRIC HELPS INTEGRATE, STORE, AND ANALYZE DATA LEADING TO INCREASING PRODUCTIVITY
                       TABLE 77 MANUFACTURING: MARKET, BY REGION, 2018–2021 (USD MILLION)
                       TABLE 78 MANUFACTURING: MARKET, BY REGION, 2022–2027 (USD MILLION)
     11.7 ENERGY & MINING 
             11.7.1 ADOPTION OF DATA FABRIC SOLUTIONS TO GAIN INSIGHTS AND SECURE MARKET COMPETITIVENESS
                       TABLE 79 ENERGY & MINING: MARKET, BY REGION, 2018–2021 (USD MILLION)
                       TABLE 80 ENERGY & MINING: MARKET, BY REGION, 2022–2027 (USD MILLION)
     11.8 HEALTHCARE & LIFE SCIENCES 
             11.8.1 DATA FABRIC HELPS INTEGRATE AND ANALYZE DATA OBTAINED FROM APPLICATIONS, SOFTWARE, AND OPERATION SOURCES
                       TABLE 81 HEALTHCARE & LIFE SCIENCES: DATA FABRIC MARKET, BY REGION, 2018–2021 (USD MILLION)
                       TABLE 82 HEALTHCARE & LIFE SCIENCES: MARKET, BY REGION, 2022–2027 (USD MILLION)
     11.9 MEDIA & ENTERTAINMENT 
             11.9.1 STORAGE OF MASSIVE VOLUMES OF DIGITAL DATA REQUIRES DATA FABRIC SOLUTIONS
                       TABLE 83 MEDIA & ENTERTAINMENT: MARKET, BY REGION, 2018–2021 (USD MILLION)
                       TABLE 84 MEDIA & ENTERTAINMENT: MARKET, BY REGION, 2022–2027 (USD MILLION)
     11.10 OTHER VERTICALS 
               TABLE 85 OTHER VERTICALS: MARKET, BY REGION, 2018–2021 (USD MILLION)
               TABLE 86 OTHER VERTICALS: MARKET, BY REGION, 2022–2027 (USD MILLION)
 
12 DATA FABRIC MARKET, BY REGION (Page No. - 130)
     12.1 INTRODUCTION 
             12.1.1 REGIONS: MARKET DRIVERS
                       FIGURE 42 ASIA PACIFIC TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
                       FIGURE 43 INDIA TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
                       TABLE 87 MARKET, BY REGION, 2018–2021 (USD MILLION)
                       TABLE 88 MARKET, BY REGION, 2022–2027 (USD MILLION)
     12.2 NORTH AMERICA 
             12.2.1 NORTH AMERICA: RECESSION IMPACT
             12.2.2 NORTH AMERICA: REGULATIONS
                       12.2.2.1 Health Insurance Portability and Accountability Act of 1996
                       12.2.2.2 California Consumer Privacy Act
                       12.2.2.3 Gramm–Leach–Bliley Act
                       12.2.2.4 The Personal Information Protection and Electronic Documents Act
                       12.2.2.5 Federal Information Security Management Act
                                   FIGURE 44 NORTH AMERICA: MARKET SNAPSHOT
                                   TABLE 89 NORTH AMERICA: DATA FABRIC MARKET, BY COMPONENT, 2018–2021 (USD MILLION)
                                   TABLE 90 NORTH AMERICA: MARKET, BY COMPONENT, 2022–2027 (USD MILLION)
                                   TABLE 91 NORTH AMERICA: MARKET, BY SERVICE, 2018–2021 (USD MILLION)
                                   TABLE 92 NORTH AMERICA: MARKET, BY SERVICE, 2022–2027 (USD MILLION)
                                   TABLE 93 NORTH AMERICA: MARKET, BY PROFESSIONAL SERVICE, 2018–2021 (USD MILLION)
                                   TABLE 94 NORTH AMERICA: MARKET, BY PROFESSIONAL SERVICE, 2022–2027 (USD MILLION)
                                   TABLE 95 NORTH AMERICA: MARKET, BY TYPE, 2018–2021 (USD MILLION)
                                   TABLE 96 NORTH AMERICA: MARKET, BY TYPE, 2022–2027 (USD MILLION)
                                   TABLE 97 NORTH AMERICA: MARKET, BY DEPLOYMENT MODE, 2018–2021 (USD MILLION)
                                   TABLE 98 NORTH AMERICA: MARKET, BY DEPLOYMENT MODE, 2022–2027 (USD MILLION)
                                   TABLE 99 NORTH AMERICA: MARKET, BY ORGANIZATION SIZE, 2018–2021 (USD MILLION)
                                   TABLE 100 NORTH AMERICA: MARKET, BY ORGANIZATION SIZE, 2022–2027 (USD MILLION)
                                   TABLE 101 NORTH AMERICA: MARKET, BY APPLICATION, 2018–2021 (USD MILLION)
                                   TABLE 102 NORTH AMERICA: MARKET, BY APPLICATION, 2022–2027 (USD MILLION)
                                   TABLE 103 NORTH AMERICA: MARKET, BY VERTICAL, 2018–2021 (USD MILLION)
                                   TABLE 104 NORTH AMERICA: MARKET, BY VERTICAL, 2022–2027 (USD MILLION)
                                   TABLE 105 NORTH AMERICA: MARKET, BY COUNTRY, 2018–2021 (USD MILLION)
                                   TABLE 106 NORTH AMERICA: MARKET, BY COUNTRY, 2022–2027 (USD MILLION)
             12.2.3 US
                       12.2.3.1 Adoption of innovative data fabric solutions for gaining insights from higher data volumes to drive market
                                   TABLE 107 US: DATA FABRIC MARKET, BY COMPONENT, 2018–2021 (USD MILLION)
                                   TABLE 108 US: MARKET, BY COMPONENT, 2022–2027 (USD MILLION)
                                   TABLE 109 US: MARKET, BY DEPLOYMENT MODE, 2018–2021 (USD MILLION)
                                   TABLE 110 US: MARKET, BY DEPLOYMENT MODE, 2022–2027 (USD MILLION)
                                   TABLE 111 US: MARKET, BY ORGANIZATION SIZE, 2018–2021 (USD MILLION)
                                   TABLE 112 US: MARKET, BY ORGANIZATION SIZE, 2022–2027 (USD MILLION)
             12.2.4 CANADA
                       12.2.4.1 Favorable startup ecosystem and rising government investments to boost growth
                                   TABLE 113 CANADA: MARKET, BY COMPONENT, 2018–2021 (USD MILLION)
                                   TABLE 114 CANADA: MARKET, BY COMPONENT, 2022–2027 (USD MILLION)
                                   TABLE 115 CANADA: MARKET, BY DEPLOYMENT MODE, 2018–2021 (USD MILLION)
                                   TABLE 116 CANADA: MARKET, BY DEPLOYMENT MODE, 2022–2027 (USD MILLION)
                                   TABLE 117 CANADA: MARKET, BY ORGANIZATION SIZE, 2018–2021 (USD MILLION)
                                   TABLE 118 CANADA: MARKET, BY ORGANIZATION SIZE, 2022–2027 (USD MILLION)
     12.3 EUROPE 
             12.3.1 EUROPE: RECESSION IMPACT
             12.3.2 EUROPE: REGULATIONS
                       12.3.2.1 General Data Protection Regulation
                       12.3.2.2 European Committee for Standardization
                       12.3.2.3 EU Data Governance Act
                       12.3.2.4 European Technical Standards Institute
                                   TABLE 119 EUROPE: DATA FABRIC MARKET, BY COMPONENT, 2018–2021 (USD MILLION)
                                   TABLE 120 EUROPE: MARKET, BY COMPONENT, 2022–2027 (USD MILLION)
                                   TABLE 121 EUROPE: MARKET, BY SERVICE, 2018–2021 (USD MILLION)
                                   TABLE 122 EUROPE: MARKET, BY SERVICE, 2022–2027 (USD MILLION)
                                   TABLE 123 EUROPE: MARKET, BY PROFESSIONAL SERVICE, 2018–2021 (USD MILLION)
                                   TABLE 124 EUROPE: MARKET, BY PROFESSIONAL SERVICE, 2022–2027 (USD MILLION)
                                   TABLE 125 EUROPE: MARKET, BY TYPE, 2018–2021 (USD MILLION)
                                   TABLE 126 EUROPE:  MARKET, BY TYPE, 2022–2027 (USD MILLION)
                                   TABLE 127 EUROPE: MARKET, BY DEPLOYMENT MODE, 2018–2021 (USD MILLION)
                                   TABLE 128 EUROPE: MARKET, BY DEPLOYMENT MODE, 2022–2027 (USD MILLION)
                                   TABLE 129 EUROPE: MARKET, BY ORGANIZATION SIZE, 2018–2021 (USD MILLION)
                                   TABLE 130 EUROPE: MARKET, BY ORGANIZATION SIZE, 2022–2027 (USD MILLION)
                                   TABLE 131 EUROPE: MARKET, BY APPLICATION, 2018–2021 (USD MILLION)
                                   TABLE 132 EUROPE: MARKET, BY APPLICATION, 2022–2027 (USD MILLION)
                                   TABLE 133 EUROPE: MARKET, BY VERTICAL, 2018–2021 (USD MILLION)
                                   TABLE 134 EUROPE: MARKET, BY VERTICAL, 2022–2027 (USD MILLION)
                                   TABLE 135 EUROPE: MARKET, BY COUNTRY, 2018–2021 (USD MILLION)
                                   TABLE 136 EUROPE: MARKET, BY COUNTRY, 2022–2027 (USD MILLION)
             12.3.3 UK
                       12.3.3.1 Need to enhance networking infrastructure and security capabilities across major verticals
                                   TABLE 137 UK: DATA FABRIC MARKET, BY COMPONENT, 2018–2021 (USD MILLION)
                                   TABLE 138 UK: MARKET, BY COMPONENT, 2022–2027 (USD MILLION)
                                   TABLE 139 UK: MARKET, BY DEPLOYMENT MODE, 2018–2021 (USD MILLION)
                                   TABLE 140 UK: MARKET, BY DEPLOYMENT MODE, 2022–2027 (USD MILLION)
                                   TABLE 141 UK: MARKET, BY ORGANIZATION SIZE, 2018–2021 (USD MILLION)
                                   TABLE 142 UK: MARKET, BY ORGANIZATION SIZE, 2022–2027 (USD MILLION)
             12.3.4 GERMANY
                       12.3.4.1 Growth in digitalization and IT spending across industries to fuel market growth
                                   TABLE 143 GERMANY: MARKET, BY COMPONENT, 2018–2021 (USD MILLION)
                                   TABLE 144 GERMANY: MARKET, BY COMPONENT, 2022–2027 (USD MILLION)
                                   TABLE 145 GERMANY: MARKET, BY DEPLOYMENT MODE, 2018–2021 (USD MILLION)
                                   TABLE 146 GERMANY: MARKET, BY DEPLOYMENT MODE, 2022–2027 (USD MILLION)
                                   TABLE 147 GERMANY: MARKET, BY ORGANIZATION SIZE, 2018–2021 (USD MILLION)
                                   TABLE 148 GERMANY: MARKET, BY ORGANIZATION SIZE, 2022–2027 (USD MILLION)
             12.3.5 FRANCE
                       12.3.5.1 Several digital transformation levels across data fabric vendors to propel market growth
                                   TABLE 149 FRANCE: DATA FABRIC MARKET, BY COMPONENT, 2018–2021 (USD MILLION)
                                   TABLE 150 FRANCE: MARKET, BY COMPONENT, 2022–2027 (USD MILLION)
                                   TABLE 151 FRANCE: MARKET, BY DEPLOYMENT MODE, 2018–2021 (USD MILLION)
                                   TABLE 152 FRANCE: MARKET, BY DEPLOYMENT MODE, 2022–2027 (USD MILLION)
                                   TABLE 153 FRANCE: MARKET, BY ORGANIZATION SIZE, 2018–2021 (USD MILLION)
                                   TABLE 154 FRANCE: MARKET, BY ORGANIZATION SIZE, 2022–2027 (USD MILLION)
             12.3.6 REST OF EUROPE
            TABLE 155 REST OF EUROPE: MARKET, BY COMPONENT, 2018–2021 (USD MILLION)
                                   TABLE 156 REST OF EUROPE: MARKET, BY COMPONENT, 2022–2027 (USD MILLION)
                                   TABLE 157 REST OF EUROPE: MARKET, BY DEPLOYMENT MODE, 2018–2021 (USD MILLION)
                                   TABLE 158 REST OF EUROPE: MARKET, BY DEPLOYMENT MODE, 2022–2027 (USD MILLION)
                                   TABLE 159 REST OF EUROPE: MARKET, BY ORGANIZATION SIZE, 2018–2021 (USD MILLION)
                                   TABLE 160 REST OF EUROPE: MARKET, BY ORGANIZATION SIZE, 2022–2027 (USD MILLION)
     12.4 ASIA PACIFIC 
             12.4.1 ASIA PACIFIC: RECESSION IMPACT
             12.4.2 ASIA PACIFIC: REGULATIONS
                       12.4.2.1 Personal Data Protection Act
                       12.4.2.2 International Organization for Standardization 27001
                       12.4.2.3 Act on the Protection of Personal Information
                       12.4.2.4 Critical Information Infrastructure
                                   FIGURE 45 ASIA PACIFIC: MARKET SNAPSHOT
                                   TABLE 161 ASIA PACIFIC: DATA FABRIC MARKET, BY COMPONENT, 2018–2021 (USD MILLION)
                                   TABLE 162 ASIA PACIFIC: MARKET, BY COMPONENT, 2022–2027 (USD MILLION)
                                   TABLE 163 ASIA PACIFIC: MARKET, BY SERVICE, 2018–2021 (USD MILLION)
                                   TABLE 164 ASIA PACIFIC: MARKET, BY SERVICE, 2022–2027 (USD MILLION)
                                   TABLE 165 ASIA PACIFIC: MARKET, BY PROFESSIONAL SERVICE, 2018–2021 (USD MILLION)
                                   TABLE 166 ASIA PACIFIC: MARKET, BY PROFESSIONAL SERVICE, 2022–2027 (USD MILLION)
                                   TABLE 167 ASIA PACIFIC: MARKET, BY TYPE, 2018–2021 (USD MILLION)
                                   TABLE 168 ASIA PACIFIC: MARKET, BY TYPE, 2022–2027 (USD MILLION)
                                   TABLE 169 ASIA PACIFIC: MARKET, BY DEPLOYMENT MODE, 2018–2021 (USD MILLION)
                                   TABLE 170 ASIA PACIFIC: MARKET, BY DEPLOYMENT MODE, 2022–2027 (USD MILLION)
                                   TABLE 171 ASIA PACIFIC: MARKET, BY ORGANIZATION SIZE, 2018–2021 (USD MILLION)
                                   TABLE 172 ASIA PACIFIC: MARKET, BY ORGANIZATION SIZE, 2022–2027 (USD MILLION)
                                   TABLE 173 ASIA PACIFIC: MARKET, BY APPLICATION, 2018–2021 (USD MILLION)
                                   TABLE 174 ASIA PACIFIC: MARKET, BY APPLICATION, 2022–2027 (USD MILLION)
                                   TABLE 175 ASIA PACIFIC: MARKET, BY VERTICAL, 2018–2021 (USD MILLION)
                                   TABLE 176 ASIA PACIFIC: MARKET, BY VERTICAL, 2022–2027 (USD MILLION)
                                   TABLE 177 ASIA PACIFIC: MARKET, BY COUNTRY, 2018–2021 (USD MILLION)
                                   TABLE 178 ASIA PACIFIC: MARKET, BY COUNTRY, 2022–2027 (USD MILLION)
             12.4.3 INDIA
                       12.4.3.1 Increase in government initiatives for managing huge data volumes to fuel demand for data fabric solutions
                                   TABLE 179 INDIA: DATA FABRIC MARKET, BY COMPONENT, 2018–2021 (USD MILLION)
                                   TABLE 180 INDIA: MARKET, BY COMPONENT, 2022–2027 (USD MILLION)
                                   TABLE 181 INDIA: MARKET, BY DEPLOYMENT MODE, 2018–2021 (USD MILLION)
                                   TABLE 182 INDIA: MARKET, BY DEPLOYMENT MODE, 2022–2027 (USD MILLION)
                                   TABLE 183 INDIA: MARKET, BY ORGANIZATION SIZE, 2018–2021 (USD MILLION)
                                   TABLE 184 INDIA: MARKET, BY ORGANIZATION SIZE, 2022–2027 (USD MILLION)
             12.4.4 JAPAN
                       12.4.4.1 Adoption of data management technologies to gain insights from rising data in real-time across verticals to drive market
                                   TABLE 185 JAPAN: MARKET, BY COMPONENT, 2018–2021 (USD MILLION)
                                   TABLE 186 JAPAN: MARKET, BY COMPONENT, 2022–2027 (USD MILLION)
                                   TABLE 187 JAPAN: MARKET, BY DEPLOYMENT MODE, 2018–2021 (USD MILLION)
                                   TABLE 188 JAPAN: MARKET, BY DEPLOYMENT MODE, 2022–2027 (USD MILLION)
                                   TABLE 189 JAPAN: MARKET, BY ORGANIZATION SIZE, 2018–2021 (USD MILLION)
                                   TABLE 190 JAPAN: MARKET, BY ORGANIZATION SIZE, 2022–2027 (USD MILLION)
             12.4.5 CHINA
                       12.4.5.1 Need to efficiently manage huge amounts of clinical data to boost demand for data fabric solutions
                                   TABLE 191 CHINA: DATA FABRIC MARKET, BY COMPONENT, 2018–2021 (USD MILLION)
                                   TABLE 192 CHINA: MARKET, BY COMPONENT, 2022–2027 (USD MILLION)
                                   TABLE 193 CHINA: MARKET, BY DEPLOYMENT MODE, 2018–2021 (USD MILLION)
                                   TABLE 194 CHINA: MARKET, BY DEPLOYMENT MODE, 2022–2027 (USD MILLION)
                                   TABLE 195 CHINA: MARKET, BY ORGANIZATION SIZE, 2018–2021 (USD MILLION)
                                   TABLE 196 CHINA: MARKET, BY ORGANIZATION SIZE, 2022–2027 (USD MILLION)
             12.4.6 AUSTRALIA
                       12.4.6.1 Increase in number of IoT and analytics startups to fuel market growth
                                   TABLE 197 AUSTRALIA: MARKET, BY TYPE, 2018–2021 (USD MILLION)
                                   TABLE 198 AUSTRALIA: MARKET, BY TYPE, 2022–2027 (USD MILLION)
                                   TABLE 199 AUSTRALIA: MARKET, BY APPLICATION, 2018–2021 (USD MILLION)
                                   TABLE 200 AUSTRALIA: MARKET, BY APPLICATION, 2022–2027 (USD MILLION)
                                   TABLE 201 AUSTRALIA: MARKET, BY VERTICAL, 2018–2021 (USD MILLION)
                                   TABLE 202 AUSTRALIA: MARKET, BY VERTICAL, 2022–2027 (USD MILLION)
             12.4.7 REST OF ASIA PACIFIC
                       TABLE 203 REST OF ASIA PACIFIC: DATA FABRIC MARKET, BY COMPONENT, 2018–2021 (USD MILLION)
                       TABLE 204 REST OF ASIA PACIFIC: MARKET, BY COMPONENT, 2022–2027 (USD MILLION)
                       TABLE 205 REST OF ASIA PACIFIC: MARKET, BY DEPLOYMENT MODE, 2018–2021 (USD MILLION)
                       TABLE 206 REST OF ASIA PACIFIC: MARKET, BY DEPLOYMENT MODE, 2022–2027 (USD MILLION)
                       TABLE 207 REST OF ASIA PACIFIC: MARKET, BY ORGANIZATION SIZE, 2018–2021 (USD MILLION)
                       TABLE 208 REST OF ASIA PACIFIC: MARKET, BY ORGANIZATION SIZE, 2022–2027 (USD MILLION)
     12.5 MIDDLE EAST & AFRICA 
             12.5.1 MIDDLE EAST & AFRICA: RECESSION IMPACT
             12.5.2 MIDDLE EAST & AFRICA: REGULATIONS
                       12.5.2.1 ISRAELI Privacy Protection Regulations (Data Security), 5777–2017
                       12.5.2.2 Cloud Computing Framework
                       12.5.2.3 GDPR Applicability in KSA
                       12.5.2.4 Protection of Personal Information Act
                       12.5.2.5 TRA’s IoT Regulatory Policy in UAE
                                   TABLE 209 MIDDLE EAST & AFRICA: DATA FABRIC MARKET, BY COMPONENT, 2018–2021 (USD MILLION)
                                   TABLE 210 MIDDLE EAST & AFRICA: MARKET, BY COMPONENT, 2022–2027 (USD MILLION)
                                   TABLE 211 MIDDLE EAST & AFRICA: MARKET, BY SERVICE, 2018–2021 (USD MILLION)
                                   TABLE 212 MIDDLE EAST & AFRICA: MARKET, BY SERVICE, 2022–2027 (USD MILLION)
                                   TABLE 213 MIDDLE EAST & AFRICA: MARKET, BY PROFESSIONAL SERVICE, 2018–2021 (USD MILLION)
                                   TABLE 214 MIDDLE EAST & AFRICA: MARKET, BY PROFESSIONAL SERVICE, 2022–2027 (USD MILLION)
                                   TABLE 215 MIDDLE EAST & AFRICA: MARKET, BY TYPE, 2018–2021 (USD MILLION)
                                   TABLE 216 MIDDLE EAST & AFRICA: MARKET, BY TYPE, 2022–2027 (USD MILLION)
                                   TABLE 217 MIDDLE EAST & AFRICA: MARKET, BY DEPLOYMENT MODE, 2018–2021 (USD MILLION)
                                   TABLE 218 MIDDLE EAST & AFRICA: MARKET, BY DEPLOYMENT MODE, 2022–2027 (USD MILLION)
                                   TABLE 219 MIDDLE EAST & AFRICA: MARKET, BY ORGANIZATION SIZE, 2018–2021 (USD MILLION)
                                   TABLE 220 MIDDLE EAST & AFRICA: MARKET, BY ORGANIZATION SIZE, 2022–2027 (USD MILLION)
                                   TABLE 221 MIDDLE EAST & AFRICA: MARKET, BY APPLICATION, 2018–2021 (USD MILLION)
                                   TABLE 222 MIDDLE EAST & AFRICA: MARKET, BY APPLICATION, 2022–2027 (USD MILLION)
                                   TABLE 223 MIDDLE EAST & AFRICA: MARKET, BY VERTICAL, 2018–2021 (USD MILLION)
                                   TABLE 224 MIDDLE EAST & AFRICA: MARKET, BY VERTICAL, 2022–2027 (USD MILLION)
                                   TABLE 225 MIDDLE EAST & AFRICA: MARKET, BY COUNTRY, 2018–2021 (USD MILLION)
                                   TABLE 226 MIDDLE EAST & AFRICA: MARKET, BY COUNTRY, 2022–2027 (USD MILLION)
             12.5.3 SAUDI ARABIA
                       12.5.3.1 Favorable startup ecosystem to propel market growth
                                   TABLE 227 SAUDI ARABIA: DATA FABRIC MARKET, BY COMPONENT, 2018–2021 (USD MILLION)
                                   TABLE 228 SAUDI ARABIA: MARKET, BY COMPONENT, 2022–2027 (USD MILLION)
                                   TABLE 229 SAUDI ARABIA: MARKET, BY DEPLOYMENT MODE, 2018–2021 (USD MILLION)
                                   TABLE 230 SAUDI ARABIA: MARKET, BY DEPLOYMENT MODE, 2022–2027 (USD MILLION)
                                   TABLE 231 SAUDI ARABIA: MARKET, BY ORGANIZATION SIZE, 2018–2021 (USD MILLION)
                                   TABLE 232 SAUDI ARABIA: MARKET, BY ORGANIZATION SIZE, 2022–2027 (USD MILLION)
             12.5.4 UAE
                       12.5.4.1 Rapid IT resource deployment and remote monitoring capabilities to drive market
                                   TABLE 233 UAE: MARKET, BY COMPONENT, 2018–2021 (USD MILLION)
                                   TABLE 234 UAE: MARKET, BY COMPONENT, 2022–2027 (USD MILLION)
                                   TABLE 235 UAE: MARKET, BY DEPLOYMENT MODE, 2018–2021 (USD MILLION)
                                   TABLE 236 UAE: MARKET, BY DEPLOYMENT MODE, 2022–2027 (USD MILLION)
                                   TABLE 237 UAE: MARKET, BY ORGANIZATION SIZE, 2018–2021 (USD MILLION)
                                   TABLE 238 UAE: MARKET, BY ORGANIZATION SIZE, 2022–2027 (USD MILLION)
             12.5.5 SOUTH AFRICA
                       12.5.5.1 Investment by data fabric software vendors in South Africa to expedite market growth
                                   TABLE 239 SOUTH AFRICA: DATA FABRIC MARKET, BY COMPONENT, 2018–2021 (USD MILLION)
                                   TABLE 240 SOUTH AFRICA: MARKET, BY COMPONENT, 2022–2027 (USD MILLION)
                                   TABLE 241 SOUTH AFRICA: MARKET, BY DEPLOYMENT MODE, 2018–2021 (USD MILLION)
                                   TABLE 242 SOUTH AFRICA: MARKET, BY DEPLOYMENT MODE, 2022–2027 (USD MILLION)
                                   TABLE 243 SOUTH AFRICA: MARKET, BY ORGANIZATION SIZE, 2018–2021 (USD MILLION)
                                   TABLE 244 SOUTH AFRICA: MARKET, BY ORGANIZATION SIZE, 2022–2027 (USD MILLION)
             12.5.6 REST OF MIDDLE EAST & AFRICA
                       TABLE 245 REST OF MIDDLE EAST & AFRICA: MARKET, BY COMPONENT, 2018–2021 (USD MILLION)
                       TABLE 246 REST OF MIDDLE EAST & AFRICA: MARKET, BY COMPONENT, 2022–2027 (USD MILLION)
                       TABLE 247 REST OF MIDDLE EAST & AFRICA: MARKET, BY DEPLOYMENT MODE, 2018–2021 (USD MILLION)
                       TABLE 248 REST OF MIDDLE EAST & AFRICA: MARKET, BY DEPLOYMENT MODE, 2022–2027 (USD MILLION)
                       TABLE 249 REST OF MIDDLE EAST & AFRICA: MARKET, BY ORGANIZATION SIZE, 2018–2021 (USD MILLION)
                       TABLE 250 REST OF MIDDLE EAST & AFRICA: MARKET, BY ORGANIZATION SIZE, 2022–2027 (USD MILLION)
     12.6 LATIN AMERICA 
             12.6.1 LATIN AMERICA: RECESSION IMPACT
             12.6.2 LATIN AMERICA: REGULATIONS
                       12.6.2.1 Brazil Data Protection Law
                       12.6.2.2 Argentina Personal Data Protection Law No. 25.326
                                   TABLE 251 LATIN AMERICA: DATA FABRIC MARKET, BY COMPONENT, 2018–2021 (USD MILLION)
                                   TABLE 252 LATIN AMERICA: MARKET, BY COMPONENT, 2022–2027 (USD MILLION)
                                   TABLE 253 LATIN AMERICA: MARKET, BY SERVICE, 2018–2021 (USD MILLION)
                                   TABLE 254 LATIN AMERICA: MARKET, BY SERVICE, 2022–2027 (USD MILLION)
                                   TABLE 255 LATIN AMERICA: MARKET, BY PROFESSIONAL SERVICE, 2018–2021 (USD MILLION)
                                   TABLE 256 LATIN AMERICA: MARKET, BY PROFESSIONAL SERVICE, 2022–2027 (USD MILLION)
                                   TABLE 257 LATIN AMERICA: MARKET, BY TYPE, 2018–2021 (USD MILLION)
                                   TABLE 258 LATIN AMERICA: MARKET, BY TYPE, 2022–2027 (USD MILLION)
                                   TABLE 259 LATIN AMERICA: MARKET, BY DEPLOYMENT MODE, 2018–2021 (USD MILLION)
                                   TABLE 260 LATIN AMERICA: MARKET, BY DEPLOYMENT MODE, 2022–2027 (USD MILLION)
                                   TABLE 261 LATIN AMERICA: MARKET, BY ORGANIZATION SIZE, 2018–2021 (USD MILLION)
                                   TABLE 262 LATIN AMERICA: MARKET, BY ORGANIZATION SIZE, 2022–2027 (USD MILLION)
                                   TABLE 263 LATIN AMERICA: MARKET, BY APPLICATION, 2018–2021 (USD MILLION)
                                   TABLE 264 LATIN AMERICA: MARKET, BY APPLICATION, 2022–2027 (USD MILLION)
                                   TABLE 265 LATIN AMERICA: MARKET, BY VERTICAL, 2018–2021 (USD MILLION)
                                   TABLE 266 LATIN AMERICA: MARKET, BY VERTICAL, 2022–2027 (USD MILLION)
                                   TABLE 267 LATIN AMERICA: MARKET, BY COUNTRY, 2018–2021 (USD MILLION)
                                   TABLE 268 LATIN AMERICA: MARKET, BY COUNTRY, 2022–2027 (USD MILLION)
             12.6.3 BRAZIL
                       12.6.3.1 Brazil to incorporate data fabric solutions and services to increase business fourfold across verticals
                                   TABLE 269 BRAZIL: DATA FABRIC MARKET, BY COMPONENT, 2018–2021 (USD MILLION)
                                   TABLE 270 BRAZIL: MARKET, BY COMPONENT, 2022–2027 (USD MILLION)
                                   TABLE 271 BRAZIL: MARKET, BY DEPLOYMENT MODE, 2018–2021 (USD MILLION)
                                   TABLE 272 BRAZIL: MARKET, BY DEPLOYMENT MODE, 2022–2027 (USD MILLION)
                                   TABLE 273 BRAZIL: MARKET, BY ORGANIZATION SIZE, 2018–2021 (USD MILLION)
                                   TABLE 274 BRAZIL: MARKET, BY ORGANIZATION SIZE, 2022–2027 (USD MILLION)
             12.6.4 MEXICO
                       12.6.4.1 Rising need to enhance IT infrastructure and manage IoT data, quality, and speed of broadband to boost market growth
                                   TABLE 275 MEXICO: MARKET, BY COMPONENT, 2022–2027 (USD MILLION)
                                   TABLE 277 MEXICO: MARKET, BY DEPLOYMENT MODE, 2018–2021 (USD MILLION)
                                   TABLE 278 MEXICO: MARKET, BY DEPLOYMENT MODE, 2022–2027 (USD MILLION)
                                   TABLE 279 MEXICO: MARKET, BY ORGANIZATION SIZE, 2018–2021 (USD MILLION)
                                   TABLE 280 MEXICO: MARKET, BY ORGANIZATION SIZE, 2022–2027 (USD MILLION)
             12.6.5 REST OF LATIN AMERICA
                       TABLE 281 REST OF LATIN AMERICA: DATA FABRIC MARKET, BY COMPONENT, 2018–2021 (USD MILLION)
                       TABLE 282 REST OF LATIN AMERICA: MARKET, BY COMPONENT, 2022–2027 (USD MILLION)
                       TABLE 283 REST OF LATIN AMERICA: MARKET, BY DEPLOYMENT MODE, 2018–2021 (USD MILLION)
                       TABLE 284 REST OF LATIN AMERICA: MARKET, BY DEPLOYMENT MODE, 2022–2027 (USD MILLION)
                       TABLE 285 REST OF LATIN AMERICA: MARKET, BY ORGANIZATION SIZE, 2018–2021 (USD MILLION)
                       TABLE 286 REST OF LATIN AMERICA: MARKET, BY ORGANIZATION SIZE, 2022–2027 (USD MILLION)
 
13 COMPETITIVE LANDSCAPE (Page No. - 208)
     13.1 OVERVIEW 
     13.2 STRATEGIES ADOPTED BY KEY PLAYERS 
               TABLE 287 OVERVIEW OF STRATEGIES ADOPTED BY KEY DATA FABRIC VENDORS
     13.3 REVENUE ANALYSIS 
             13.3.1 HISTORICAL REVENUE ANALYSIS
                       FIGURE 46 HISTORICAL REVENUE ANALYSIS OF TOP FIVE LEADING PLAYERS, 2019–2021 (USD MILLION)
     13.4 MARKET SHARE ANALYSIS 
               FIGURE 47 MARKET SHARE ANALYSIS FOR KEY COMPANIES, 2021
               TABLE 288 DATA FABRIC MARKET: DEGREE OF COMPETITION
     13.5 MARKET EVALUATION FRAMEWORK 
               FIGURE 48 MARKET EVALUATION FRAMEWORK: EXPANSIONS AND CONSOLIDATIONS IN MARKET BETWEEN 2019 AND 2022
     13.6 COMPANY EVALUATION QUADRANT 
             13.6.1 STARS
             13.6.2 EMERGING LEADERS
             13.6.3 PERVASIVE PLAYERS
             13.6.4 PARTICIPANTS
                       FIGURE 49 KEY MARKET PLAYERS, COMPANY EVALUATION QUADRANT, 2022
     13.7 COMPETITIVE BENCHMARKING 
             13.7.1 COMPANY PRODUCT FOOTPRINT
                       FIGURE 50 PRODUCT PORTFOLIO ANALYSIS OF TOP PLAYERS
                       FIGURE 51 BUSINESS STRATEGY EXCELLENCE OF TOP PLAYERS
                       TABLE 289 DATA FABRIC MARKET: COMPETITIVE BENCHMARKING OF KEY PLAYERS, 2022
     13.8 STARTUP/SME EVALUATION QUADRANT 
             13.8.1 PROGRESSIVE COMPANIES
             13.8.2 RESPONSIVE COMPANIES
             13.8.3 DYNAMIC COMPANIES
             13.8.4 STARTING BLOCKS
                       FIGURE 52 STARTUP/SME DATA FABRIC PLAYERS, COMPANY EVALUATION QUADRANT, 2022
     13.9 STARTUP/SME COMPETITIVE BENCHMARKING 
             13.9.1 COMPANY PRODUCT FOOTPRINT
                       FIGURE 53 PRODUCT PORTFOLIO ANALYSIS OF STARTUPS/SMES
                       FIGURE 54 BUSINESS STRATEGY EXCELLENCE OF STARTUPS/SMES
                       TABLE 290 MARKET: COMPETITIVE BENCHMARKING OF STARTUP/SMES, 2021
                       TABLE 291 DATA FABRIC MARKET: DETAILED LIST OF KEY STARTUPS/SMES
     13.1 COMPETITIVE SCENARIO AND TRENDS 
               13.10.1 NEW PRODUCT LAUNCHES
                                   TABLE 292 NEW SERVICE/PRODUCT LAUNCHES, 2019–2022
               13.10.2 DEALS
                                   TABLE 293 DEALS, 2019–2022
 
14 COMPANY PROFILES (Page No. - 227)
     14.1 INTRODUCTION 
(Business overview, Products/Solutions/Services offered, Recent developments & MnM View)*
     14.2 KEY PLAYERS 
             14.2.1 IBM
                       TABLE 294 IBM: BUSINESS OVERVIEW
                       FIGURE 55 IBM: COMPANY SNAPSHOT
                       TABLE 295 IBM: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 296 IBM: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 297 IBM: DEALS
             14.2.2 SAP
                       TABLE 298 SAP: BUSINESS OVERVIEW
                       FIGURE 56 SAP: COMPANY SNAPSHOT
                       TABLE 299 SAP: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 300 SAP: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 301 SAP: DEALS
             14.2.3 ORACLE
                       TABLE 302 ORACLE: BUSINESS OVERVIEW
                       FIGURE 57 ORACLE: COMPANY SNAPSHOT
                       TABLE 303 ORACLE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 304 ORACLE: PRODUCT LAUNCHES AND ENHANCEMENTS
             14.2.4 INFORMATICA
                       TABLE 305 INFORMATICA: BUSINESS OVERVIEW
                       FIGURE 58 INFORMATICA: COMPANY SNAPSHOT
                       TABLE 306 INFORMATICA: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 307 INFORMATICA: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 308 INFORMATICA: DEALS
             14.2.5 TALEND
                       TABLE 309 TALEND: BUSINESS OVERVIEW
                       TABLE 310 TALEND: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 311 TALEND: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 312 TALEND: DEALS
             14.2.6 DENODO
                       TABLE 313 DENODO: BUSINESS OVERVIEW
                       TABLE 314 DENODO: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 315 DENODO: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 316 DENODO: DEALS
             14.2.7 HPE
                       TABLE 317 HPE: BUSINESS OVERVIEW
                       FIGURE 59 HPE: COMPANY SNAPSHOT
                       TABLE 318 HPE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 319 HPE: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 320 HPE: DEALS
             14.2.8 DELL TECHNOLOGIES
                       TABLE 321 DELL TECHNOLOGIES: BUSINESS OVERVIEW
                       FIGURE 60 DELL TECHNOLOGIES: COMPANY SNAPSHOT
                       TABLE 322 DELL TECHNOLOGIES: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 323 DELL TECHNOLOGIES: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 324 DELL TECHNOLOGIES: DEALS
             14.2.9 NETAPP
                       TABLE 325 NETAPP: BUSINESS OVERVIEW
                       FIGURE 61 NETAPP: COMPANY SNAPSHOT
                       TABLE 326 NETAPP: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 327 NETAPP: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 328 NETAPP: DEALS
             14.2.10 TERADATA
                       TABLE 329 TERADATA: BUSINESS OVERVIEW
                       FIGURE 62 TERADATA: COMPANY SNAPSHOT
                       TABLE 330 TERADATA: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 331 TERADATA: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 332 TERADATA: DEALS
             14.2.11 SOFTWARE AG
                       TABLE 333 SOFTWARE AG: BUSINESS OVERVIEW
                       FIGURE 63 SOFTWARE AG: COMPANY SNAPSHOT
                       TABLE 334 SOFTWARE AG: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 335 SOFTWARE AG: DEALS
             14.2.12 TIBCO SOFTWARE
                       TABLE 336 TIBCO SOFTWARE: BUSINESS OVERVIEW
                       TABLE 337 TIBCO SOFTWARE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 338 TIBCO SOFTWARE: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 339 TIBCO SOFTWARE: DEALS
             14.2.13 SPLUNK
             14.2.14 GLOBAL IDS
             14.2.15 PRECISELY
             14.2.16 CINCHY
             14.2.17 K2VIEW
             14.2.18 IDERA
             14.2.19 INCORTA
             14.2.20 RADIANT LOGIC
             14.2.21 INTENDA
*Details on Business overview, Products/Solutions/Services offered, Recent developments & MnM View might not be captured in case of unlisted companies.
     14.3 STARTUP/SME PROFILES 
             14.3.1 ATLAN
             14.3.2 NEXLA
             14.3.3 STARDOG
             14.3.4 GLUENT
             14.3.5 STARBURST DATA
             14.3.6 HEXSTREAM
             14.3.7 QOMPLX
             14.3.8 CLUEDIN
             14.3.9 IGUAZIO
             14.3.10 ALEX SOLUTIONS
 
15 ADJACENT AND RELATED MARKETS (Page No. - 274)
     15.1 INTRODUCTION 
     15.2 BIG DATA MARKET – GLOBAL FORECAST TO 2027 
             15.2.1 MARKET DEFINITION
             15.2.2 MARKET OVERVIEW
                       15.2.2.1 Big data market, by component
                                   TABLE 340 BIG DATA MARKET, BY COMPONENT, 2016–2020 (USD MILLION)
                                   TABLE 341 BIG DATA MARKET, BY COMPONENT, 2021–2026 (USD MILLION)
                       15.2.2.2 Big data market, by business function
                                   TABLE 342 BIG DATA MARKET, BY BUSINESS FUNCTION, 2016–2020 (USD MILLION)
                                   TABLE 343 BIG DATA MARKET, BY BUSINESS FUNCTION, 2021–2026 (USD MILLION)
                       15.2.2.3 Big data market, by deployment mode
                                   TABLE 344 BIG DATA MARKET, BY DEPLOYMENT MODE, 2016–2020 (USD MILLION)
                                   TABLE 345 BIG DATA MARKET, BY DEPLOYMENT MODE, 2021–2026 (USD MILLION)
                       15.2.2.4 Big data market, by industry vertical
                                   TABLE 346 BIG DATA MARKET, BY INDUSTRY VERTICAL, 2016–2020 (USD MILLION)
                                   TABLE 347 BIG DATA MARKET, BY INDUSTRY VERTICAL, 2021–2026 (USD MILLION)
                       15.2.2.5 Big data market, by region
                                   TABLE 348 BIG DATA MARKET, BY REGION, 2016–2020 (USD MILLION)
                                   TABLE 349 BIG DATA MARKET, BY REGION, 2021–2026 (USD MILLION)
     15.3 DATA CATALOGUE MARKET – GLOBAL FORECAST TO 2027 
             15.3.1 MARKET DEFINITION
             15.3.2 MARKET OVERVIEW
                       15.3.2.1 Data catalogue market, by component
                                   TABLE 350 DATA CATALOG MARKET, BY COMPONENT, 2017–2021 (USD MILLION)
                                   TABLE 351 DATA CATALOG MARKET, BY COMPONENT, 2022–2027 (USD MILLION)
                       15.3.2.2 Data catalogue market, by deployment mode
                                   TABLE 352 DATA CATALOG MARKET, BY DEPLOYMENT MODE, 2017–2021 (USD MILLION)
                                   TABLE 353 DATA CATALOG MARKET, BY DEPLOYMENT MODE, 2022–2027 (USD MILLION)
                       15.3.2.3 Data catalogue market, by data consumer
                                   TABLE 354 DATA CATALOG MARKET, BY DATA CONSUMER, 2017–2021 (USD MILLION)
                                   TABLE 355 DATA CATALOG MARKET, BY DATA CONSUMER, 2022–2027 (USD MILLION)
                       15.3.2.4 Data catalog market, by metadata type
                                   TABLE 356 DATA CATALOG MARKET, BY METADATA TYPE, 2017–2021 (USD MILLION)
                                   TABLE 357 DATA CATALOG MARKET, BY METADATA TYPE, 2022–2027 (USD MILLION)
                       15.3.2.5 Data catalogue market, by organization size
                                   TABLE 358 DATA CATALOG MARKET, BY ORGANIZATION SIZE, 2017–2021 (USD MILLION)
                                   TABLE 359 DATA CATALOG MARKET, BY ORGANIZATION SIZE, 2022–2027 (USD MILLION)
                       15.3.2.6 Data catalogue market, by vertical
                                   TABLE 360 DATA CATALOG MARKET, BY VERTICAL, 2017–2021 (USD MILLION)
                                   TABLE 361 DATA CATALOG MARKET, BY VERTICAL, 2022–2027 (USD MILLION)
                       15.3.2.7 Data catalogue market, by region
                                   TABLE 362 DATA CATALOG MARKET, BY REGION, 2017–2021 (USD MILLION)
                                   TABLE 363 DATA CATALOG MARKET, BY REGION, 2022–2027 (USD MILLION)
 
16 APPENDIX (Page No. - 285)
     16.1 INDUSTRY EXPERTS 
     16.2 DISCUSSION GUIDE 
     16.3 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL 
     16.4 CUSTOMIZATION OPTIONS 
     16.5 RELATED REPORTS 
     16.6 AUTHOR DETAILS 

The research study for the data fabric market involved extensive secondary sources, directories, journals, and paid databases. Primary sources were mainly industry experts from the core and related industries, preferred data fabric providers, third-party service providers, consulting service providers, end users, and other commercial enterprises. In-depth interviews were conducted with various primary respondents, including key industry participants and subject matter experts, to obtain and verify critical qualitative and quantitative information, and assess the market’s prospects.

Secondary Research

The market size of companies offering data fabric services was arrived at based on secondary data available through paid and unpaid sources. It was also arrived at by analyzing the product portfolios of major companies and rating the companies based on their performance and quality. In the secondary research process, various sources were referred to, for identifying and collecting information for this study. Secondary sources included annual reports, press releases, and investor presentations of companies; white papers, journals, and certified publications; and articles from recognized authors, directories, and databases. The data was also collected from other secondary sources, such as journals, government websites, blogs, and vendors websites. Additionally, data fabric spending of various countries was extracted from the respective sources. Secondary research was mainly used to obtain key information related to the industry’s value chain and supply chain to identify key players based on solutions, services, market classification, and segmentation according to offerings of major players, industry trends related to solutions, services, deployment modes, applications, types, organization sizes, verticals, and regions, and key developments from both market- and technology-oriented perspectives.

Primary Research

In the primary research process, various primary sources from both supply and demand sides were interviewed to obtain qualitative and quantitative information on the market. The primary sources from the supply side included various industry experts, including Chief Experience Officers (CXOs); Vice Presidents (VPs); directors from business development, marketing, and data fabric expertise; related key executives from data fabric solution vendors, SIs, professional service providers, and industry associations; and key opinion leaders.

Primary interviews were conducted to gather insights, such as market statistics, revenue data collected from solutions and services, market breakups, market size estimations, market forecasts, and data triangulation. Primary research also helped understand various trends related to technologies, applications, deployment modes, types, verticals and regions. Stakeholders from the demand side, such as Chief Information Officers (CIOs), Chief Technology Officers (CTOs), Chief Strategy Officers (CSOs), and end users using data fabric solutions, were interviewed to understand the buyer’s perspective on suppliers, products, service providers, and their current usage of data fabric solutions and services, which would impact the overall data fabric market.

The following is the breakup of primary profiles:

Data Fabric Market Size, and Share

To know about the assumptions considered for the study, download the pdf brochure

Market Size Estimation

For market estimation, key data fabric and service vendors, such as IBM (US), SAP (Germany), Oracle (US), Informatica (US), Talend (US), Denodo (US), HPE (US), Dell Technologies (US), NetApp (US), Teradata (US), Splunk (US), TIBCO Software (US), Software AG (Germany), Intenda (South Africa), Radiant Logic (US), Incorta (US), Idera (US), K2View (US), Cinchy (Canada), Precisely (US), Global IDs (US), Alex Solutions (Australia), Iguazio (Israel), CluedIn (Denmark), QOMPLX (US), HEXstream (US), Starburst Data (US), Gluent (US), Stardog (US), Nexla (US), and Atlan (Singapore) were identified. These vendors contribute nearly 45%–55% to the global data fabric market.

The market is competitive due to the presence of numerous vendors. After confirming these companies through primary interviews with industry experts, their total revenue through annual reports, Securities and Exchange Commission (SEC) filings, and paid databases was estimated. The revenue pertaining to Business Units (BUs) that offer data fabric solutions was identified through similar sources. Then, through primaries, the data of revenue generated from specific data fabric solutions was collected. The collective revenue of key companies that offer data fabric solutions comprises 40%–50% of the market, which was again confirmed through primary interviews with industry experts.

  • The pricing trend is assumed to vary over time.
  • All the forecasts are made with the standard assumption that the accepted currency is USD.
  • For converting various currencies to USD, average historical exchange rates are used according to the year specified. For all the historical and current exchange rates required for calculations and currency conversions, the US Internal Revenue Service's website is used.
  • All the forecasts are made under the standard assumption that the globally accepted currency, the USD, remains constant during the next five years.
  • Vendor-side analysis: The market size estimates of associated solutions and services are factored in from the vendor side by assuming an average of licensing and subscription-based models of leading and innovative vendors in the market.

Demand/end-user analysis: End users operating in verticals across regions are analyzed in terms of market spending on data fabric based on some of the key use cases. These factors for the data fabric industry per region are separately analyzed, and the average spending was extrapolated with an approximation based on assumed weightage. This factor is derived by averaging various market influencers, including recent developments, regulations, mergers and acquisitions, enterprise/SME adoption, start-up ecosystem, IT spending, technology propensity and maturity, use cases, and the estimated number of organizations per region.

Data Triangulation

Based on the market numbers, the regional split was determined by primary and secondary sources. The procedure included the analysis of the data fabric market’s regional penetration. Based on secondary research, the regional spending on Information and Communications Technology (ICT), socio-economic analysis of each country, strategic vendor analysis of major data fabric providers, and organic and inorganic business development activities of regional and global players were estimated. With the data triangulation procedure and data validation through primaries, the exact values of the overall data fabric market size and segments’ size were determined and confirmed using the study.

Report Objectives

  • To define, describe, and predict the data fabric market in terms of component (solutions and services), deployment mode, type, application, organization size, vertical, and region.
  • To provide detailed information related to major factors (drivers, restraints, opportunities, and industry-specific challenges) influencing the market growth
  • To analyze the micro markets with respect to individual growth trends, prospects, and their contribution to the total market
  • To analyze the opportunities in the market for stakeholders by identifying the high-growth segments of the market
  • To analyze opportunities in the market and provide details of the competitive landscape for stakeholders and market leaders
  • To forecast the market size of segments for five main regions: North America, Europe, Asia Pacific, Middle East & Africa, and Latin America
  • To profile key players and comprehensively analyze their market rankings and core competencies
  • To analyze competitive developments, such as partnerships, new product launches, and mergers and acquisitions, in the market
  • To analyze the impact of the recession across all the regions in the data fabric market.

Available customizations

With the given market data, MarketsandMarkets offers customizations as per your company’s specific needs. The following customization options are available for the report:

Product analysis

  • Product quadrant, which gives a detailed comparison of the product portfolio of each company

Geographic analysis

  • Further breakup of the North American data fabric market
  • Further breakup of the European market
  • Further breakup of the Asia Pacific market
  • Further breakup of the Middle East & Africa market
  • Further breakup of the Latin America market

Company information

  • Detailed analysis and profiling of additional market players (up to 5)
Custom Market Research Services

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Dec, 2022
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