Market Overview:
The global data fabric market is expected to grow from USD 2.02 Billion in 2018 to USD 5.06 Billion by 2030, at a CAGR of 13.8% during the forecast period. The growth of the data fabric market is attributed to the increasing demand for big data and analytics solutions, rising need for cloud-based services, and growing trend of digital transformation across organizations. The managed services segment is expected to hold the largest share of the global data fabric market in 2018. The growth of this segment can be attributed to the increasing demand for managed services from small and medium-sized businesses (SMBs) and large enterprises worldwide.
Product Definition:
A data fabric is a term used to describe the way in which data is managed and accessed across a network. The importance of data fabric lies in its ability to provide users with a single point of access to all the data they need, regardless of where it's located. This can be especially helpful for organizations that have multiple locations or departments spread out across different geographical areas.
Managed Services:
Managed services are a set of professional services offered to enterprises by IT companies. These companies manage the infrastructure, applications and data of an organization for one or more specific tasks. The main goal of managed service providers is to assist businesses in achieving operational efficiency and business growth through offering solutions such as application development, integration & consulting along with security monitoring & maintenance.
The global managed services market was valued at USD 51,072 million in 2015.
Professional Services:
Professional services are the set of consulting, training & development, and implementation services. It is used to deploy data fabric in enterprises.
Consulting Service - This service helps customer understand their business requirements and select appropriate technology for their needs. They also help them choose a vendor with strong technical expertise that will be able to design and implement best-in-class architecture based on customer specifications while adhering to industry standards.
Application Insights:
The others segment dominated the global data fabric market in 2017 and is expected to witness significant growth over the forecast period. This can be attributed to growing demand for data-centric applications across various industries such as BFSI, IT and telecom, retail, healthcare, government and public sector enterprises. The professional services type of application is preferred by large organizations that have a dedicated in-house team to manage their infrastructure. However, small and medium-sized businesses (SMBs) prefer managed services due to cost benefits associated with it.
Fraud detection & security management was one of the prominent segments accounting for a considerable amount of revenue in 2017 owing to increasing cyberattacks globally resulting in loss of sensitive information which needs protection from malicious users.
Regional Analysis:
The North American regional market dominated the global data fabric industry in 2016 and accounted for over 35% of the total market revenue. The growth can be attributed to a large number of service providers that are focusing on implementing big data technologies across various business processes. Moreover, increasing investments in analytics, cloud computing, and IoT is expected to drive demand over the forecast period.
The Asia Pacific region is anticipated to witness significant growth during the forecast period owing to increased adoption by enterprises operating across various industries such as retailing, automotive, healthcare & life sciences among others.
Moreover technological advancements such as high-speed wireless connectivity; low cost storage media along with rapid development in networking capabilities have led major companies based outside China (mainly U.S.
Growth Factors:
- Increasing demand for data-driven decision making: The need for faster, more accurate, and more insightful decisions is driving the demand for data fabrics. Data fabrics provide a single view of the data across the enterprise, allowing businesses to make better decisions based on all their data.
- Proliferation of big data and IoT: The growth of big data and IoT is fueling the need for more efficient ways to manage and process large volumes of disparate data. Data fabrics can handle large volumes of streaming or real-time data as well as batch processing jobs, making them well suited for bigdata environments.
- Shift to hybrid cloud architectures: As businesses move toward hybrid cloud architectures, they are looking for solutions that can help them seamlessly integrate public clouds with their private infrastructure deployments. Data fabrics provide this capability by allowing businesses to easily move workloads back and forth between different clouds without having to rearchitect their applications or reconfigure their infrastructure components..
Scope Of The Report
Report Attributes
Report Details
Report Title
Data Fabric Market Research Report
By Type
Managed Services, Professional Services
By Application
Fraud Detection and Security Management, Customer Experience Management, Governance, Risk, And Compliance Management, Sales and Marketing Management, Business Process Management, Others
By Companies
Denodo Technologies, Global IDS, IBM, Informatica, NetApp, Oracle, SAP SE, Software AG, Splunk, Syncsort, Talend S.A., VMware, Hewlett Packard Enterprise Company, Teradata Corporation, K2View
Regions Covered
North America, Europe, APAC, Latin America, MEA
Base Year
2021
Historical Year
2019 to 2020 (Data from 2010 can be provided as per availability)
Forecast Year
2030
Number of Pages
225
Number of Tables & Figures
158
Customization Available
Yes, the report can be customized as per your need.
Global Data Fabric Market Report Segments:
The global Data Fabric market is segmented on the basis of:
Types
Managed Services, Professional Services
The product segment provides information about the market share of each product and the respective CAGR during the forecast period. It lays out information about the product pricing parameters, trends, and profits that provides in-depth insights of the market. Furthermore, it discusses latest product developments & innovation in the market.
Applications
Fraud Detection and Security Management, Customer Experience Management, Governance, Risk, And Compliance Management, Sales and Marketing Management, Business Process Management, Others
The application segment fragments various applications of the product and provides information on the market share and growth rate of each application segment. It discusses the potential future applications of the products and driving and restraining factors of each application segment.
Some of the companies that are profiled in this report are:
- Denodo Technologies
- Global IDS
- IBM
- Informatica
- NetApp
- Oracle
- SAP SE
- Software AG
- Splunk
- Syncsort
- Talend S.A.
- VMware
- Hewlett Packard Enterprise Company
- Teradata Corporation
- K2View
Highlights of The Data Fabric Market Report:
- The market structure and projections for the coming years.
- Drivers, restraints, opportunities, and current trends of market.
- Historical data and forecast.
- Estimations for the forecast period 2030.
- Developments and trends in the market.
- By Type:
- Managed Services
- Professional Services
- By Application:
- Fraud Detection and Security Management
- Customer Experience Management
- Governance, Risk, And Compliance Management
- Sales and Marketing Management
- Business Process Management
- Others
- Market scenario by region, sub-region, and country.
- Market share of the market players, company profiles, product specifications, SWOT analysis, and competitive landscape.
- Analysis regarding upstream raw materials, downstream demand, and current market dynamics.
- Government Policies, Macro & Micro economic factors are also included in the report.
We have studied the Data Fabric Market in 360 degrees via. both primary & secondary research methodologies. This helped us in building an understanding of the current market dynamics, supply-demand gap, pricing trends, product preferences, consumer patterns & so on. The findings were further validated through primary research with industry experts & opinion leaders across countries. The data is further compiled & validated through various market estimation & data validation methodologies. Further, we also have our in-house data forecasting model to predict market growth up to 2030.
Regional Analysis
- North America
- Europe
- Asia Pacific
- Middle East & Africa
- Latin America
Note: A country of choice can be added in the report at no extra cost. If more than one country needs to be added, the research quote will vary accordingly.
The geographical analysis part of the report provides information about the product sales in terms of volume and revenue in regions. It lays out potential opportunities for the new entrants, emerging players, and major players in the region. The regional analysis is done after considering the socio-economic factors and government regulations of the countries in the regions.
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8 Reasons to Buy This Report
- Includes a Chapter on the Impact of COVID-19 Pandemic On the Market
- Report Prepared After Conducting Interviews with Industry Experts & Top Designates of the Companies in the Market
- Implemented Robust Methodology to Prepare the Report
- Includes Graphs, Statistics, Flowcharts, and Infographics to Save Time
- Industry Growth Insights Provides 24/5 Assistance Regarding the Doubts in the Report
- Provides Information About the Top-winning Strategies Implemented by Industry Players.
- In-depth Insights On the Market Drivers, Restraints, Opportunities, and Threats
- Customization of the Report Available
Frequently Asked Questions?
Data Fabric is a platform that helps organizations manage their data more effectively. It provides a centralized platform for managing data flows, storage, and analytics. Data Fabric also offers tools to help users identify and resolve issues with their data.
Some of the major players in the data fabric market are Denodo Technologies, Global IDS, IBM, Informatica, NetApp, Oracle, SAP SE, Software AG, Splunk, Syncsort, Talend S.A., VMware, Hewlett Packard Enterprise Company, Teradata Corporation, K2View.
The data fabric market is expected to register a CAGR of 13.8%.
Chapter 1 Executive Summary
Chapter 2 Assumptions and Acronyms Used
Chapter 3 Research Methodology
Chapter 4 Data Fabric Market Overview 4.1 Introduction 4.1.1 Market Taxonomy 4.1.2 Market Definition 4.1.3 Macro-Economic Factors Impacting the Market Growth 4.2 Data Fabric Market Dynamics 4.2.1 Market Drivers 4.2.2 Market Restraints 4.2.3 Market Opportunity 4.3 Data Fabric Market - Supply Chain Analysis 4.3.1 List of Key Suppliers 4.3.2 List of Key Distributors 4.3.3 List of Key Consumers 4.4 Key Forces Shaping the Data Fabric Market 4.4.1 Bargaining Power of Suppliers 4.4.2 Bargaining Power of Buyers 4.4.3 Threat of Substitution 4.4.4 Threat of New Entrants 4.4.5 Competitive Rivalry 4.5 Global Data Fabric Market Size & Forecast, 2020-2028 4.5.1 Data Fabric Market Size and Y-o-Y Growth 4.5.2 Data Fabric Market Absolute $ Opportunity
Chapter 5 Global Market Analysis and Forecast by Type
5.1 Introduction
5.1.1 Key Market Trends & Growth Opportunities by Type
5.1.2 Basis Point Share (BPS) Analysis by Type
5.1.3 Absolute $ Opportunity Assessment by Type
5.2 Market Size Forecast by Type
5.2.1 Managed Services
5.2.2 Professional Services
5.3 Market Attractiveness Analysis by Type
Chapter 6 Global Market Analysis and Forecast by Applications
6.1 Introduction
6.1.1 Key Market Trends & Growth Opportunities by Applications
6.1.2 Basis Point Share (BPS) Analysis by Applications
6.1.3 Absolute $ Opportunity Assessment by Applications
6.2 Market Size Forecast by Applications
6.2.1 Fraud Detection and Security Management
6.2.2 Customer Experience Management
6.2.3 Governance
6.2.4 Risk
6.2.5 And Compliance Management
6.2.6 Sales and Marketing Management
6.2.7 Business Process Management
6.2.8 Others
6.3 Market Attractiveness Analysis by Applications
Chapter 7 Global Data Fabric Market Analysis and Forecast by Region
7.1 Introduction
7.1.1 Key Market Trends & Growth Opportunities by Region
7.1.2 Basis Point Share (BPS) Analysis by Region
7.1.3 Absolute $ Opportunity Assessment by Region
7.2 Data Fabric Market Size Forecast by Region
7.2.1 North America
7.2.2 Europe
7.2.3 Asia Pacific
7.2.4 Latin America
7.2.5 Middle East & Africa (MEA)
7.3 Market Attractiveness Analysis by Region
Chapter 8 Coronavirus Disease (COVID-19) Impact
8.1 Introduction
8.2 Current & Future Impact Analysis
8.3 Economic Impact Analysis
8.4 Government Policies
8.5 Investment Scenario
Chapter 9 North America Analysis and Forecast
9.1 Introduction
9.2 North America Market Size Forecast by Country
9.2.1 U.S.
9.2.2 Canada
9.3 Basis Point Share (BPS) Analysis by Country
9.4 Absolute $ Opportunity Assessment by Country
9.5 Market Attractiveness Analysis by Country
9.6 North America Market Size Forecast by Type
9.6.1 Managed Services
9.6.2 Professional Services
9.7 Basis Point Share (BPS) Analysis by Type
9.8 Absolute $ Opportunity Assessment by Type
9.9 Market Attractiveness Analysis by Type
9.10 North America Market Size Forecast by Applications
9.10.1 Fraud Detection and Security Management
9.10.2 Customer Experience Management
9.10.3 Governance
9.10.4 Risk
9.10.5 And Compliance Management
9.10.6 Sales and Marketing Management
9.10.7 Business Process Management
9.10.8 Others
9.11 Basis Point Share (BPS) Analysis by Applications
9.12 Absolute $ Opportunity Assessment by Applications
9.13 Market Attractiveness Analysis by Applications
Chapter 10 Europe Analysis and Forecast
10.1 Introduction
10.2 Europe Market Size Forecast by Country
10.2.1 Germany
10.2.2 France
10.2.3 Italy
10.2.4 U.K.
10.2.5 Spain
10.2.6 Russia
10.2.7 Rest of Europe
10.3 Basis Point Share (BPS) Analysis by Country
10.4 Absolute $ Opportunity Assessment by Country
10.5 Market Attractiveness Analysis by Country
10.6 Europe Market Size Forecast by Type
10.6.1 Managed Services
10.6.2 Professional Services
10.7 Basis Point Share (BPS) Analysis by Type
10.8 Absolute $ Opportunity Assessment by Type
10.9 Market Attractiveness Analysis by Type
10.10 Europe Market Size Forecast by Applications
10.10.1 Fraud Detection and Security Management
10.10.2 Customer Experience Management
10.10.3 Governance
10.10.4 Risk
10.10.5 And Compliance Management
10.10.6 Sales and Marketing Management
10.10.7 Business Process Management
10.10.8 Others
10.11 Basis Point Share (BPS) Analysis by Applications
10.12 Absolute $ Opportunity Assessment by Applications
10.13 Market Attractiveness Analysis by Applications
Chapter 11 Asia Pacific Analysis and Forecast
11.1 Introduction
11.2 Asia Pacific Market Size Forecast by Country
11.2.1 China
11.2.2 Japan
11.2.3 South Korea
11.2.4 India
11.2.5 Australia
11.2.6 South East Asia (SEA)
11.2.7 Rest of Asia Pacific (APAC)
11.3 Basis Point Share (BPS) Analysis by Country
11.4 Absolute $ Opportunity Assessment by Country
11.5 Market Attractiveness Analysis by Country
11.6 Asia Pacific Market Size Forecast by Type
11.6.1 Managed Services
11.6.2 Professional Services
11.7 Basis Point Share (BPS) Analysis by Type
11.8 Absolute $ Opportunity Assessment by Type
11.9 Market Attractiveness Analysis by Type
11.10 Asia Pacific Market Size Forecast by Applications
11.10.1 Fraud Detection and Security Management
11.10.2 Customer Experience Management
11.10.3 Governance
11.10.4 Risk
11.10.5 And Compliance Management
11.10.6 Sales and Marketing Management
11.10.7 Business Process Management
11.10.8 Others
11.11 Basis Point Share (BPS) Analysis by Applications
11.12 Absolute $ Opportunity Assessment by Applications
11.13 Market Attractiveness Analysis by Applications
Chapter 12 Latin America Analysis and Forecast
12.1 Introduction
12.2 Latin America Market Size Forecast by Country
12.2.1 Brazil
12.2.2 Mexico
12.2.3 Rest of Latin America (LATAM)
12.3 Basis Point Share (BPS) Analysis by Country
12.4 Absolute $ Opportunity Assessment by Country
12.5 Market Attractiveness Analysis by Country
12.6 Latin America Market Size Forecast by Type
12.6.1 Managed Services
12.6.2 Professional Services
12.7 Basis Point Share (BPS) Analysis by Type
12.8 Absolute $ Opportunity Assessment by Type
12.9 Market Attractiveness Analysis by Type
12.10 Latin America Market Size Forecast by Applications
12.10.1 Fraud Detection and Security Management
12.10.2 Customer Experience Management
12.10.3 Governance
12.10.4 Risk
12.10.5 And Compliance Management
12.10.6 Sales and Marketing Management
12.10.7 Business Process Management
12.10.8 Others
12.11 Basis Point Share (BPS) Analysis by Applications
12.12 Absolute $ Opportunity Assessment by Applications
12.13 Market Attractiveness Analysis by Applications
Chapter 13 Middle East & Africa (MEA) Analysis and Forecast
13.1 Introduction
13.2 Middle East & Africa (MEA) Market Size Forecast by Country
13.2.1 Saudi Arabia
13.2.2 South Africa
13.2.3 UAE
13.2.4 Rest of Middle East & Africa (MEA)
13.3 Basis Point Share (BPS) Analysis by Country
13.4 Absolute $ Opportunity Assessment by Country
13.5 Market Attractiveness Analysis by Country
13.6 Middle East & Africa (MEA) Market Size Forecast by Type
13.6.1 Managed Services
13.6.2 Professional Services
13.7 Basis Point Share (BPS) Analysis by Type
13.8 Absolute $ Opportunity Assessment by Type
13.9 Market Attractiveness Analysis by Type
13.10 Middle East & Africa (MEA) Market Size Forecast by Applications
13.10.1 Fraud Detection and Security Management
13.10.2 Customer Experience Management
13.10.3 Governance
13.10.4 Risk
13.10.5 And Compliance Management
13.10.6 Sales and Marketing Management
13.10.7 Business Process Management
13.10.8 Others
13.11 Basis Point Share (BPS) Analysis by Applications
13.12 Absolute $ Opportunity Assessment by Applications
13.13 Market Attractiveness Analysis by Applications
Chapter 14 Competition Landscape
14.1 Data Fabric Market: Competitive Dashboard
14.2 Global Data Fabric Market: Market Share Analysis, 2019
14.3 Company Profiles (Details – Overview, Financials, Developments, Strategy)
14.3.1 Denodo Technologies
14.3.2 Global IDS
14.3.3 IBM
14.3.4 Informatica
14.3.5 NetApp
14.3.6 Oracle
14.3.7 SAP SE
14.3.8 Software AG
14.3.9 Splunk
14.3.10 Syncsort
14.3.11 Talend S.A.
14.3.12 VMware
14.3.13 Hewlett Packard Enterprise Company
14.3.14 Teradata Corporation
14.3.15 K2View