Data fabric operates as a single and consistent data management framework that can access data from any location, anytime by streamlining and integrating data management processes across all access points and sources of data. In addition, the platform developed for data fabric operations are consolidated frameworks that manage, transfer, and secure data across multiple remote and incompatible data center deployments such as on-site to cloud. As the data fabric addresses the data transferring requirements it also offers properties such as unified data environment, reliability and security of transferring data, seamless cloud compute transitions, and others. Therefore, the global data fabric market growth is expected to boost at a significant rate in the coming years, owing to aforementioned advantages and properties.
Advent of digital transformation, IoT, IIoT, and technologies that derive smart solutions has increased the volume and variety of business data. Furthermore, with rise in demand for data analytics, data management technologies have evolved significantly over the past few years. This evolution has proliferated the deployment of data fabric solutions, owing to its capability to unbind data from underlying systems so that data can be accessed across the fabric; thus, easing the cost burden of organizations that opt for big data solutions. This is expected to drive the growth of the global data fabric market during the forecast period. Furthermore, with increase in need for business agility and instant data accessibility, businesses face tremendous pressure to harness the data in right quantity, at the right time, and make the right insights to facilitate successful decision-making, which in turn fuels the market growth. However, lack of skilled workforce with data fabric architecture knowledge is expected to hamper the growth of the market to a certain extent.
The data fabric market is segmented on the basis of deployment, type, enterprise size, industry vertical, and region. Depending on deployment, the market is bifurcated into on-premise and cloud. Based on type, the market is categorized into disk-based data fabric and in-memory data fabric. On the basis of enterprise size, it is divided into small & medium enterprises and large enterprises. Depending on industry vertical, it is categorized into BFSI, telecommunications & IT, retail, healthcare, manufacturing, government, energy & utilities, media & entertainment, and others. Based on region, the market is analyzed across North America, Europe, Asia-Pacific, and LAMEA.
The market players operating in the data fabric market include Denodo Technologies, Global IDs., Hewlett Packard Enterprise Company, IBM Corporation, NetApp, Oracle Corporation, SAP SE, Software AG, Splunk Inc., and Talend.
KEY BENEFITS FOR STAKEHOLDERS
KEY MARKET SEGMENTS
By Deployment
By Type
By Enterprise Size
By Industry Vertical
By Region
KEY MARKET PLAYERS
Advent of digital transformation, IoT, IIoT, and technologies that derive smart solutions has increased the volume and variety of business data. Furthermore, with rise in demand for data analytics, data management technologies have evolved significantly over the past few years. This evolution has proliferated the deployment of data fabric solutions, owing to its capability to unbind data from underlying systems so that data can be accessed across the fabric; thus, easing the cost burden of organizations that opt for big data solutions. This is expected to drive the growth of the global data fabric market during the forecast period. Furthermore, with increase in need for business agility and instant data accessibility, businesses face tremendous pressure to harness the data in right quantity, at the right time, and make the right insights to facilitate successful decision-making, which in turn fuels the market growth. However, lack of skilled workforce with data fabric architecture knowledge is expected to hamper the growth of the market to a certain extent.
The data fabric market is segmented on the basis of deployment, type, enterprise size, industry vertical, and region. Depending on deployment, the market is bifurcated into on-premise and cloud. Based on type, the market is categorized into disk-based data fabric and in-memory data fabric. On the basis of enterprise size, it is divided into small & medium enterprises and large enterprises. Depending on industry vertical, it is categorized into BFSI, telecommunications & IT, retail, healthcare, manufacturing, government, energy & utilities, media & entertainment, and others. Based on region, the market is analyzed across North America, Europe, Asia-Pacific, and LAMEA.
The market players operating in the data fabric market include Denodo Technologies, Global IDs., Hewlett Packard Enterprise Company, IBM Corporation, NetApp, Oracle Corporation, SAP SE, Software AG, Splunk Inc., and Talend.
KEY BENEFITS FOR STAKEHOLDERS
- The study provides an in-depth analysis of the data fabric market trends to elucidate the imminent investment pockets.
- Information regarding the key drivers, restraints, and opportunities and their impact analysis on the global data fabric market size is provided.
- Porter’s five forces analysis illustrates the potency of the buyers and suppliers operating in the data fabric industry.
- The quantitative analysis of the market from 2018 to 2026 is provided to determine the global data fabric market potential.
KEY MARKET SEGMENTS
By Deployment
- On-premise
- Cloud
By Type
- Disk-based Data Fabric
- In-memory Data Fabric
By Enterprise Size
- Small & Medium Enterprises
- Large Enterprises
By Industry Vertical
- BFSI
- Telecommunications & IT
- Retail
- Healthcare
- Manufacturing
- Government
- Energy & Utilities
- Media & Entertainment
- Others
By Region
- North America
- U.S.
- Canada
- Europe
- Germany
- France
- UK
- Rest of Europe
- Asia-Pacific
- Japan
- China
- India
- Rest of Asia-Pacific
- LAMEA
- Latin America
- Middle East
- Africa
KEY MARKET PLAYERS
- Denodo Technologies
- Global IDs.
- Hewlett Packard Enterprise Company
- IBM Corporation
- NetApp
- Oracle Corporation
- SAP SE
- Software AG
- Splunk Inc.
- Talend
Table of Contents
Chapter 1: Introduction
Chapter 2: Executive Summary
Chapter 3: Market Overview
Chapter 4: Global Data Fabric Market, By Deployment
Chapter 5: Global Data Fabric Market, By Type
Chapter 6: Global Data Fabric Market, By Enterprise Size
Chapter 7: Global Data Fabric Market, By Industry Vertical
Chapter 8: Global Data Fabric Market, By Region
Chapter 9: Competitive Landscape
Chapter 10: Company Profile
Executive Summary
According to the report titled 'Data Fabric Market by Deployment, Type, Enterprise Size, and Industry Vertical: Global Opportunity Analysis and Industry Forecast, 2019-2026', the data fabric market size was valued at $812.6 million in 2018, and is projected to reach $4,546.9 million by 2026, growing at a CAGR of 23.8% from 2019 to 2026.Data fabric is a converged platform with an architecture and set of data services that provision diverse data management needs to deliver accurate IT service levels across unstructured data sources and infrastructure types. In the digital transformation era, data analytics has become a vital process that allows seamless flow of information and enables new customer touchpoints through technology. Therefore, data fabric has emerged as an innovative opportunity to enhance business agility.
Growth in cloud space have compelled services providers to rearchitect its storage platform. The rearchitected storage was opted to meet the demands of the services providers enterprise customers for high capacity, durability, performance, and availability, while still preserving their security posture of data storage and transfer. Data fabric is highly adopted as a rearchitect solution in form of infrastructure-as-a-service (IaaS) platform, owing to its benefits such as flexibility, scalability, replication, and others. This is a major factor that drives the growth of the global data fabric market during the forecast period.
Based on deployment, the cloud segment dominated the overall data fabric market in 2018, and is expected to continue this trend during the forecast period. This is attributed to rise in number of cloud deployment across the globe among various industry verticals as a scalable and on-demand data storage option. As data fabric can encompass a wide variety of data sources on disparate locations the deployment of data fabric solutions for cloud data is expected to rise significantly in the coming years among cloud service providers. This is expected to boost the data fabric market growth.
Banking, financial services, and insurance (BFSI) is a dominating sector in terms of technological adoption to gain highest competitive advantage. With rise in need to make smart decisions on the basis of heterogeneous data analysis which is gathered from a variety of sources, such as smartphones, IoT devices, social networks, rich media, and transaction systems, BFSI are embracing innovative solutions that deliver services at ease and speed. This has proliferated the demand for data fabric as it is capable to fulfill the needs of modern analytic, applications, and operational use cases that incorporates data from diverse sources such as files; tables; streams; logs; messaging; rich media, i.e., images, audio and video, and containers. Moreover, retail sector is expected to embrace the modern architecture functionality that offers scalable data analysis as the e-commerce activities are increasing the volume of data silos generated by these activities. This in turn creates lucrative opportunities for the players operating in the data fabric market trends.
Key Findings of the Data Fabric Market:
By deployment, the cloud segment dominated the data fabric market. However, the On-premise segment is expected to exhibit significant growth during the forecast period in the data fabric industry.
Based on type, the disk-based data fabric segment accounted for the highest revenue dominated the data fabric market share in 2018.
Depending on enterprise size, the large enterprises generated the highest revenue in 2018. However, small and medium enterprises segment is expected to witness considerable growth in the near future.
Based on industry vertical, the BFSI segment generated the highest revenue in 2018. However, manufacturing is expected to witness considerable growth in the near future.
Region wise, Asia-Pacific is expected to witness significant growth in terms of CAGR in the upcoming years.
Some of the major players profiled in the data fabric market analysis include Denodo Technologies, Global IDs., Hewlett Packard Enterprise Company, IBM Corporation, NetApp, Oracle Corporation, SAP SE, Software AG, Splunk Inc., and Talend. Major players operating in this market have witnessed high growth in demand for cross-platform data management solutions especially due to growing disparate data sources in digital era.
Companies Mentioned
- Denodo Technologies
- Global IDs.
- Hewlett Packard Enterprise Company
- IBM Corporation
- NetApp
- Oracle Corporation
- SAP SE
- Software AG S.L.nk Inc.
- Talend
Methodology
The analyst offers exhaustive research and analysis based on a wide variety of factual inputs, which largely include interviews with industry participants, reliable statistics, and regional intelligence. The in-house industry experts play an instrumental role in designing analytic tools and models, tailored to the requirements of a particular industry segment. The primary research efforts include reaching out participants through mail, tele-conversations, referrals, professional networks, and face-to-face interactions.
They are also in professional corporate relations with various companies that allow them greater flexibility for reaching out to industry participants and commentators for interviews and discussions.
They also refer to a broad array of industry sources for their secondary research, which typically include; however, not limited to:
- Company SEC filings, annual reports, company websites, broker & financial reports, and investor presentations for competitive scenario and shape of the industry
- Scientific and technical writings for product information and related preemptions
- Regional government and statistical databases for macro analysis
- Authentic news articles and other related releases for market evaluation
- Internal and external proprietary databases, key market indicators, and relevant press releases for market estimates and forecast
Furthermore, the accuracy of the data will be analyzed and validated by conducting additional primaries with various industry experts and KOLs. They also provide robust post-sales support to clients.
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