Data Fabric Market
Data Fabric - Global Market Outlook (2020-2028)
Global fabric market data share
According to Stratistics MRC, the Global Data Fabric market is accounted for $1.00 billion in 2020 and is expected to reach $5.66 billion by 2028 growing at a CAGR of 24.2% during the forecast period. Some of the key factors propelling the market growth include increasing volume and variety of business data, growing demand for real-time streaming analytics, rising usage of structured, semi-structured, and unstructured data for analysis, growing need for business accessibility and agility, increasing variety and volume of business data sets day by day owing to evolution of smart and digital technologies, and increasing demand for data fabric to detect fraud and security threats. However, lack of awareness about data fabric is restricting the market growth.
Data fabric can be defined as a collection of data services which offers resources across an array of endpoints. These resources span both multiple as well as an on-premises cloud environment. Data fabric aggregates data placement, file data analysis, data management, as well as service level definition. The service offers integrated as well as consistent cloud data service to obtain data access, security, as well as data insights and visibility. It delivers consistent and integrated hybrid cloud data services for data visibility and insights, data access and control, and data protection and security. Moreover, data fabric provides a comprehensive view of business and customer across an organization.
By deployment mode, the on-premises segment is expected to grow at the significant rate during the forecast period, due to the ease of using only the functionalities without knowing the implementation. Industries susceptible to data losses, data privacy, and security breaches prefer on-premises deployment of data management solutions contributing to the higher adoption of on-premises deployment mode.
On the basis of geography, North America region is estimated to have considerable market growth during the forecast period, owing to rapid digitalization across industry verticals, increasing adoption of IoT-enabled technologies, and technological advancements are fueling the adoption of data fabric in North America. State-of-the-art infrastructure, high funding opportunities, widespread customer base across several industries, and availability of a highly-skilled workforce have been major contributors in this region to the innovation and early adoption of various technologies such as big data and related technologies, analytics, and IoT. U.S. is expected to retain its dominance for the data fabrics market at the end of forecast period.
Some of the key players in Data Fabric Market include Netapp, Inc., Dell Technologies, Hewlett Packard Enterprise Development Lp, Denodo Technologies, Oracle Corporation, IBM Corporation, SAP SE, VMware, Inc., Informatica Corporation, Tibco Software, Teradata Corporation, Global Ids, Omron Corporation, Talend SA, Syncsort Inc., and Splunk Inc.
Data Fabric Types Covered:
• In-Memory Data Fabric
• Disk-Based Data Fabric
Deployment Modes Covered:
• On-Premises
• Hosted/On-cloud
• On-Demand
Components Covered:
• Services
• Software
Sales Channels Covered:
• Distributor
• Direct Sales
Organization Sizes Covered:
• Small and Medium-Sized Enterprises (SMEs)
• Large Enterprises
Solutions Covered:
• Data Orchestration
• Data Discovery
• Fabric Data Access
• Data Ingestion
• Fabric Management
• Data Management
Applications Covered:
• Governance, Risk and Compliance Management
• Sales and Marketing Management
• Fraud Detection and Security Management
• Business Process Management
• Customer Experience Management
• Data Lineage
• Metadata Management
• General Data Protection Regulation (GDPR) Data Discovery
• Other Applications
End Users Covered:
• Telecommunications and Information Technology (IT)
• Manufacturing
• Media and Entertainment
• Retail and Electronic (E)-Commerce
• Energy and Utilities
• Healthcare and Life Sciences
• Government & Defense
• Pharmaceuticals
• Public Sector
• Banking, Financial Services and Insurance (BFSI)
• Automotive
• Other End Users
Regions Covered:
• North America
o US
o Canada
o Mexico
• Europe
o Germany
o France
o Italy
o UK
o Spain
o Rest of Europe
• Asia Pacific
o Japan
o China
o India
o Australia
o New Zealand
o South Korea
o Rest of Asia Pacific
• South America
o Argentina
o Brazil
o Chile
o Rest of South America
• Middle East & Africa
o Saudi Arabia
o UAE
o Qatar
o South Africa
o Rest of Middle East & Africa
What our report offers:
- Market share assessments for the regional and country-level segments
- Strategic recommendations for the new entrants
- Covers Market data for the years 2019, 2020, 2021, 2025 and 2028
- Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
- Strategic analysis: Drivers and Constraints, Product/Technology Analysis, Porter’s five forces analysis, SWOT analysis, etc.
- Strategic recommendations in key business segments based on the market estimations
- Competitive landscaping mapping the key common trends
- Company profiling with detailed strategies, financials, and recent developments
- Supply chain trends mapping the latest technological advancements
Free Customization Offerings:
All the customers of this report will be entitled to receive one of the following free customization options:
• Company Profiling
o Comprehensive profiling of additional market players (up to 3)
o SWOT Analysis of key players (up to 3)
• Regional Segmentation
o Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
• Competitive Benchmarking
o Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances
Table of Contents
1 Executive Summary
2 Preface
2.1 Abstract
2.2 Stake Holders
2.3 Research Scope
2.4 Research Methodology
2.4.1 Data Mining
2.4.2 Data Analysis
2.4.3 Data Validation
2.4.4 Research Approach
2.5 Research Sources
2.5.1 Primary Research Sources
2.5.2 Secondary Research Sources
2.5.3 Assumptions
3 Market Trend Analysis
3.1 Introduction
3.2 Drivers
3.3 Restraints
3.4 Opportunities
3.5 Threats
3.6 Application Analysis
3.7 End User Analysis
3.8 Emerging Markets
3.9 Impact of Covid-19
4 Porters Five Force Analysis
4.1 Bargaining power of suppliers
4.2 Bargaining power of buyers
4.3 Threat of substitutes
4.4 Threat of new entrants
4.5 Competitive rivalry
5 Global Data Fabric Market, By Data Fabric Type
5.1 Introduction
5.2 In-Memory Data Fabric
5.3 Disk-Based Data Fabric
6 Global Data Fabric Market, By Deployment Mode
6.1 Introduction
6.2 On-Premises
6.3 Hosted/On-cloud
6.4 On-Demand
7 Global Data Fabric Market, By Component
7.1 Introduction
7.2 Services
7.2.1 Professional Services
7.2.1.1 Integration
7.2.1.2 Consulting Services
7.2.1.3 Support and Maintenance
7.2.1.4 Implementation
7.2.1.5 Education and Training
7.2.2 Managed Services
7.3 Software
8 Global Data Fabric Market, By Sales Channel
8.1 Introduction
8.2 Distributor
8.3 Direct Sales
9 Global Data Fabric Market, By Organization Size
9.1 Introduction
9.2 Small and Medium-Sized Enterprises (SMEs)
9.3 Large Enterprises
10 Global Data Fabric Market, By Solution
10.1 Introduction
10.2 Data Orchestration
10.3 Data Discovery
10.4 Fabric Data Access
10.5 Data Ingestion
10.6 Fabric Management
10.7 Data Management
11 Global Data Fabric Market, By Application
11.1 Introduction
11.2 Governance, Risk and Compliance Management
11.3 Sales and Marketing Management
11.4 Fraud Detection and Security Management
11.5 Business Process Management
11.6 Customer Experience Management
11.7 Data Lineage
11.8 Metadata Management
11.9 General Data Protection Regulation (GDPR) Data Discovery
11.10 Other Applications
11.10.1 Asset Management
11.10.2 Supply Chain Management
11.10.3 Workforce Management
12 Global Data Fabric Market, By End User
12.1 Introduction
12.2 Telecommunications and Information Technology (IT)
12.3 Manufacturing
12.4 Media and Entertainment
12.5 Retail and Electronic (E)-Commerce
12.6 Energy and Utilities
12.7 Healthcare and Life Sciences
12.8 Government & Defense
12.9 Pharmaceuticals
12.10 Public Sector
12.11 Banking, Financial Services and Insurance (BFSI)
12.12 Automotive
12.13 Other End Users
12.13.1 Travel, Hospitality & Tourism
12.13.2 Education
12.13.3 Transportation and Logistics
13 Global Data Fabric Market, By Geography
13.1 Introduction
13.2 North America
13.2.1 US
13.2.2 Canada
13.2.3 Mexico
13.3 Europe
13.3.1 Germany
13.3.2 UK
13.3.3 Italy
13.3.4 France
13.3.5 Spain
13.3.6 Rest of Europe
13.4 Asia Pacific
13.4.1 Japan
13.4.2 China
13.4.3 India
13.4.4 Australia
13.4.5 New Zealand
13.4.6 South Korea
13.4.7 Rest of Asia Pacific
13.5 South America
13.5.1 Argentina
13.5.2 Brazil
13.5.3 Chile
13.5.4 Rest of South America
13.6 Middle East & Africa
13.6.1 Saudi Arabia
13.6.2 UAE
13.6.3 Qatar
13.6.4 South Africa
13.6.5 Rest of Middle East & Africa
14 Key Developments
14.1 Agreements, Partnerships, Collaborations and Joint Ventures
14.2 Acquisitions & Mergers
14.3 New Product Launch
14.4 Expansions
14.5 Other Key Strategies
15 Company Profiling
15.1 Netapp, Inc.
15.2 Dell Technologies
15.3 Hewlett Packard Enterprise Development Lp
15.4 Denodo Technologies
15.5 Oracle Corporation
15.6 IBM Corporation
15.7 SAP SE
15.8 VMware, Inc.
15.9 Informatica Corporation
15.10 Tibco Software
15.11 Teradata Corporation
15.12 Global IDs
15.13 Omron Corporation
15.14 Talend SA
15.15 Syncsort Inc.
15.16 Splunk Inc.
List of Tables
1 Global Data Fabric Market Outlook, By Region (2019-2028) ($MN)
2 Global Data Fabric Market Outlook, By Data Fabric Type (2019-2028) ($MN)
3 Global Data Fabric Market Outlook, By In-Memory Data Fabric (2019-2028) ($MN)
4 Global Data Fabric Market Outlook, By Disk-Based Data Fabric (2019-2028) ($MN)
5 Global Data Fabric Market Outlook, By Deployment Mode (2019-2028) ($MN)
6 Global Data Fabric Market Outlook, By On-Premises (2019-2028) ($MN)
7 Global Data Fabric Market Outlook, By Hosted/On-cloud (2019-2028) ($MN)
8 Global Data Fabric Market Outlook, By On-Demand (2019-2028) ($MN)
9 Global Data Fabric Market Outlook, By Component (2019-2028) ($MN)
10 Global Data Fabric Market Outlook, By Services (2019-2028) ($MN)
11 Global Data Fabric Market Outlook, By Professional Services (2019-2028) ($MN)
12 Global Data Fabric Market Outlook, By Managed Services (2019-2028) ($MN)
13 Global Data Fabric Market Outlook, By Software (2019-2028) ($MN)
14 Global Data Fabric Market Outlook, By Sales Channel (2019-2028) ($MN)
15 Global Data Fabric Market Outlook, By Distributor (2019-2028) ($MN)
16 Global Data Fabric Market Outlook, By Direct Sales (2019-2028) ($MN)
17 Global Data Fabric Market Outlook, By Organization Size (2019-2028) ($MN)
18 Global Data Fabric Market Outlook, By Small and Medium-Sized Enterprises (SMEs) (2019-2028) ($MN)
19 Global Data Fabric Market Outlook, By Large Enterprises (2019-2028) ($MN)
20 Global Data Fabric Market Outlook, By Solution (2019-2028) ($MN)
21 Global Data Fabric Market Outlook, By Data Orchestration (2019-2028) ($MN)
22 Global Data Fabric Market Outlook, By Data Discovery (2019-2028) ($MN)
23 Global Data Fabric Market Outlook, By Fabric Data Access (2019-2028) ($MN)
24 Global Data Fabric Market Outlook, By Data Ingestion (2019-2028) ($MN)
25 Global Data Fabric Market Outlook, By Fabric Management (2019-2028) ($MN)
26 Global Data Fabric Market Outlook, By Data Management (2019-2028) ($MN)
27 Global Data Fabric Market Outlook, By Application (2019-2028) ($MN)
28 Global Data Fabric Market Outlook, By Governance, Risk and Compliance Management (2019-2028) ($MN)
29 Global Data Fabric Market Outlook, By Sales and Marketing Management (2019-2028) ($MN)
30 Global Data Fabric Market Outlook, By Fraud Detection and Security Management (2019-2028) ($MN)
31 Global Data Fabric Market Outlook, By Business Process Management (2019-2028) ($MN)
32 Global Data Fabric Market Outlook, By Customer Experience Management (2019-2028) ($MN)
33 Global Data Fabric Market Outlook, By Data Lineage (2019-2028) ($MN)
34 Global Data Fabric Market Outlook, By Metadata Management (2019-2028) ($MN)
35 Global Data Fabric Market Outlook, By General Data Protection Regulation (GDPR) Data Discovery (2019-2028) ($MN)
36 Global Data Fabric Market Outlook, By Other Applications (2019-2028) ($MN)
37 Global Data Fabric Market Outlook, By Asset Management (2019-2028) ($MN)
38 Global Data Fabric Market Outlook, By Supply Chain Management (2019-2028) ($MN)
39 Global Data Fabric Market Outlook, By Workforce Management (2019-2028) ($MN)
40 Global Data Fabric Market Outlook, By End User (2019-2028) ($MN)
41 Global Data Fabric Market Outlook, By Telecommunications and Information Technology (IT) (2019-2028) ($MN)
42 Global Data Fabric Market Outlook, By Manufacturing (2019-2028) ($MN)
43 Global Data Fabric Market Outlook, By Media and Entertainment (2019-2028) ($MN)
44 Global Data Fabric Market Outlook, By Retail and Electronic (E)-Commerce (2019-2028) ($MN)
45 Global Data Fabric Market Outlook, By Energy and Utilities (2019-2028) ($MN)
46 Global Data Fabric Market Outlook, By Healthcare and Life Sciences (2019-2028) ($MN)
47 Global Data Fabric Market Outlook, By Government & Defense (2019-2028) ($MN)
48 Global Data Fabric Market Outlook, By Pharmaceuticals (2019-2028) ($MN)
49 Global Data Fabric Market Outlook, By Public Sector (2019-2028) ($MN)
50 Global Data Fabric Market Outlook, By Banking, Financial Services and Insurance (BFSI) (2019-2028) ($MN)
51 Global Data Fabric Market Outlook, By Automotive (2019-2028) ($MN)
52 Global Data Fabric Market Outlook, By Other End Users (2019-2028) ($MN)
53 Global Data Fabric Market Outlook, By Travel, Hospitality & Tourism (2019-2028) ($MN)
54 Global Data Fabric Market Outlook, By Education (2019-2028) ($MN)
55 Global Data Fabric Market Outlook, By Transportation and Logistics (2019-2028) ($MN)
Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.
List of Figures
RESEARCH METHODOLOGY
We at ‘Stratistics’ opt for an extensive research approach which involves data mining, data validation, and data analysis. The various research sources include in-house repository, secondary research, competitor’s sources, social media research, client internal data, and primary research.
Our team of analysts prefers the most reliable and authenticated data sources in order to perform the comprehensive literature search. With access to most of the authenticated data bases our team highly considers the best mix of information through various sources to obtain extensive and accurate analysis.
Each report takes an average time of a month and a team of 4 industry analysts. The time may vary depending on the scope and data availability of the desired market report. The various parameters used in the market assessment are standardized in order to enhance the data accuracy.
Data Mining
The data is collected from several authenticated, reliable, paid and unpaid sources and is filtered depending on the scope & objective of the research. Our reports repository acts as an added advantage in this procedure. Data gathering from the raw material suppliers, distributors and the manufacturers is performed on a regular basis, this helps in the comprehensive understanding of the products value chain. Apart from the above mentioned sources the data is also collected from the industry consultants to ensure the objective of the study is in the right direction.
Market trends such as technological advancements, regulatory affairs, market dynamics (Drivers, Restraints, Opportunities and Challenges) are obtained from scientific journals, market related national & international associations and organizations.
Data Analysis
From the data that is collected depending on the scope & objective of the research the data is subjected for the analysis. The critical steps that we follow for the data analysis include:
- Product Lifecycle Analysis
- Competitor analysis
- Risk analysis
- Porters Analysis
- PESTEL Analysis
- SWOT Analysis
The data engineering is performed by the core industry experts considering both the Marketing Mix Modeling and the Demand Forecasting. The marketing mix modeling makes use of multiple-regression techniques to predict the optimal mix of marketing variables. Regression factor is based on a number of variables and how they relate to an outcome such as sales or profits.
Data Validation
The data validation is performed by the exhaustive primary research from the expert interviews. This includes telephonic interviews, focus groups, face to face interviews, and questionnaires to validate our research from all aspects. The industry experts we approach come from the leading firms, involved in the supply chain ranging from the suppliers, distributors to the manufacturers and consumers so as to ensure an unbiased analysis.
We are in touch with more than 15,000 industry experts with the right mix of consultants, CEO's, presidents, vice presidents, managers, experts from both supply side and demand side, executives and so on.
The data validation involves the primary research from the industry experts belonging to:
- Leading Companies
- Suppliers & Distributors
- Manufacturers
- Consumers
- Industry/Strategic Consultants
Apart from the data validation the primary research also helps in performing the fill gap research, i.e. providing solutions for the unmet needs of the research which helps in enhancing the reports quality.
For more details about research methodology, kindly write to us at info@strategymrc.com
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