Kenneth Research, in its repository of market research reports, has recently added a report on Data Fabric Market that emphasizes the latest trends, key opportunities, drivers, and challenges associated with the growth of the market during the forecast period, i.e., 2022 – 2031. The Data Fabric Market is anticipated to grow primarily on account of the growing trade of ICT goods and services worldwide. According to the statistics by the World Bank, the exports of ICT goods globally increased from 11.164% of total goods exports in 2017 to 11.53% of total goods exports in 2019.
The U.S. Market recovers fast; In a release on May 4th, 2021, the U.S. Bureau and Economic Analysis and U.S. Census Bureau mention the recovery in the U.S. International trade in March 2021. Exports in the country reached $200 billion, up by $12.4 billion in Feb 2021. Following the continuous incremental trend, imports tallied at $274.5 billion, picked up by $16.4 billion in Feb 2021. However, as COVID19 still haunts the economies across the globe, year-over-year (y-o-y) average exports in the U.S. declined by $7.0 billion from March 2020 till March 2021 whilst imports increased by $20.7 billion during the same time. This definitely shows how the market is trying to recover back and this will have a direct impact on the Healthcare/ICT/Chemical industries, creating a huge demand for Data Fabric Market products.
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The Global Data Fabric Market was valued at USD 526.8 million in 2016 and is projected to reach USD 4,479.8 million by 2025, growing at a CAGR of 26.85% from 2017 to 2025.
Data Fabric is an approach for data movement and management across cloud and on-premise. Data Fabric assembles data management, data placement, service level definition and file data analysis all together. Data Fabric solution benefits an organization by increasing g the execution speed, providing disaster recovery, improve customer experience, helps to move data from one cloud to another, gain the data control.
1. Market Drivers
1.1 Enhancements of In-memory computing
1.2 Rising adoption of cloud
1.3 Increase in the generation of return on investment
1.4 Continuously rising volume and variety of business data
1.5 Increasing need for business agility and accessibility
1.6 Rising demand for real-time streaming analytics
2. Market Restraints
2.1 Lack of technical expertise and workforce
2.2 Decreasing investment in new technology
2.3 Poor knowledge about data fabric
2.4 Issues in integration with legacy systems
The Global Data Fabric Market is segmented on the business application, data fabric type, organization size, component, deployment model, vertical, and region.
1. Business Application:
1.1 Business process management
1.2 Fraud detection and security management
1.3 Governance, risk, and compliance management
1.4 Customer experience management
1.5 Sales and marketing management
2. Data Fabric Type:
2.1 In-memory data fabric
2.2 Disk-based data fabric
3. Organization Size:
3.1 Large Enterprises
3.2 Small and Medium Organizations
4. By Component:
4.2.1 Managed services
4.2.2 Professional services
188.8.131.52 Support and maintenance services
184.108.40.206 Consulting services
5. By Deployment Mode:
6. By Vertical:
6.3 IT and Telecom
6.4 Banking, Financial Services, and Insurance (BFSI)
6.5 Energy and Utilities
6.6 Retail and e-commerce
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7. By Region:
7.1 North America (U.S., Canada, Mexico)
7.2 Europe (Germany, UK, France, Rest of Europe)
7.3 Asia Pacific (China, India, Japan, Rest of Asia Pacific)
7.4 Latin America (Brazil, Argentina, Rest of Latin America)
7.5 Middle East & Africa
The major players in the market are as follows:
1. IBM Corporation
2. SAP SE
3. Denodo Technologies
4. Oracle Corporation
6. NetApp, Inc.
7. Teradata Corporation
8. VMware, Inc.
10. Talend S.A.
11. Hewlett Packard Enterprise Company
13. Software AG
14. Splunk, Inc.
15. Global IDS
These major players have adopted various organic as well as inorganic growth strategies such as mergers & acquisitions, new product launches, expansions, agreements, joint ventures, partnerships, and others to strengthen their position in this market.
RESEARCH METHODOLOGY OF VERIFIED MARKET RESEARCH:
Research study on the Global Data Fabric Market was performed in five phases which include Secondary research, Primary research, subject matter expert advice, quality check and final review.
The market data was analyzed and forecasted using market statistical and coherent models. Also market shares and key trends were taken into consideration while making the report. Apart from this, other data models include Vendor Positioning Grid, Market Time Line Analysis, Market Overview and Guide, Company Positioning Grid, Company Market Share Analysis, Standards of Measurement, Top to Bottom Analysis and Vendor Share Analysis.
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