Market Definition
The Global Data Fabric Market size is estimated to be USD 0.82 billion in 2019 and is predicted to reach USD 3.88 billion by 2030 with a CAGR of 15.6% from 2020-2030.
Data fabric is a single environment that consists of a unified architecture, technologies, or services, running on that architecture, helping organizations manage their data more efficiently. The goal of data fabric is to maximize that value of data in order to accelerate digital transformation. Data fabric connects to any data source through pre-packaged connectors, mitigating the need for coding. Further, data fabric also supports real-time data, and enable data sharing with external and internal stakeholders through API.
Market Dynamics and Trends
The dynamic nature of the information technology industry has paved the way for digital transformation, and the same is being adopted heavily by organizations across industries. Data has become the lifeline of several organizations, endlessly flowing through to enable newer customer touch points through technology such as artificial intelligence. Further, data fabric also makes way for new business opportunities and optimize business operations.
Growing presence of artificial intelligence and machine learning algorithms are some of the major factors pushing the growth of data fabric market. Artificial intelligence has made its presence in the information technology sector, and is likely to penetrate more in future. Applications of artificial intelligence are practically limitless. Tech-based companies are heavily investing in artificial intelligence, and at the same time, AI based start-ups have managed to attract a lot of funding from investors.
In 2019, AI based start-ups across the globe received funding worth USD 29.33 Bn, and the same is expected to go even higher. This is because, the outbreak of COVID-19 has taught several organizations to opt for digital transformation that includes the use of AI. The post COVID era will see a lot of dependence of artificial intelligence, as this outbreak has made some behavioral change and opened up newer ways of doing business without the need of being physically present.
Machine learning enabled chatbot is one such example of getting the job done effectively with reduced workforce. Thus, the growth of artificial intelligence and machine learning algorithms is expected to drive the growth of data fabric market in the coming years. Major challenges of the data fabric market include high capital investment towards newer technologies, and lack of skilled manpower.
Market Segmentations and Scope of the Study:
The global market for data fabric is segmented on the basis of offerings into solutions and services. Based on deployment, the global data fabric market is segmented into cloud and on-premise. Based on application, the market for data fabric is segmented into customer experience management, fraud detection, governance, risk management, business process management, and sales & marketing among others. Based on organization size, the market for data fabric is segmented into small & medium enterprise and large enterprises. Further, based on end-use industry, the data fabric market is segmented into BFSI, retail, public sector, healthcare, telecom, energy & power, media & entertainment, aerospace & defense and others. Based on type, the data fabric market is segmented into on-disk and in-memory. Moreover, based on region the data fabric has been segmented into North America, Europe, Asia Pacific, and Rest of the World.
Geographical Analysis
North America led the market for data fabric in 2019, and is expected to continue dominating the market in the coming years. The U.S. is the frontrunner in the growth of the data fabric market within the North American region. Widespread adoption of cloud technology in the U.S. is one of the major factors supporting the growth of the data fabric market in the country. The country has a strong IT infrastructure along with financial capacity to build a strong infrastructure that would support digital transformation and the adoption of advanced technologies such as AI and cloud computing. Europe followed North America in terms of market share.
Asia Pacific is expected to display the fastest growth rate during the forecast period, with China, Japan, and India leading the growth of the data fabric market in the region. India is attracting a lot of investments from foreign investors along with the government to boost up the IT infrastructure in the country.
Competitive Landscape
The global data fabric market is marked by intense competition by the major players operating in this space. Tactical mergers & acquisitions, joint ventures & partnerships, technological innovations are some of the key strategies taken up by the major players in order to ensure long term sustenance in this industry. IBM Corporation, NetApp, Inc. Oracle Corporation, SAP SE, Hewlett Packard Enterprise, and VMWare, Inc. are some of the major companies operating in the space of data fabric market. In January 2020, Oracle was awarded as a leader in The Forrester Wave Enterprise Data Fabric Q2 2020. The company also received the highest score among all vendors in the Strategy category.
KEY BENEFITS
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The data fabricmarket report provides the quantitative analysis of the current market and estimations through 2020-2030 that assists in identifying the prevailing market opportunities to capitalize on.
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The study comprises a deep dive analysis of the data fabricmarket trend including the current and future trendsfordepicting the prevalent investment pockets in the market.
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The information related to key drivers, restraints and opportunities and their impact on the data fabricmarket is provided in the report.
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The competitive analysis of the market players along with their market share in the global data fabric market.
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The SWOT analysis and Porters Five Forces model is elaborated in the study.
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Value chain analysis in the market study provides a clear picture of the stakeholders’ roles.
KEY MARKET SEGMENTS:
By Offering
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Solutions
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Services
By Deployment
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Cloud
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On-premise
By Application
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Customer Experience Management
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Fraud Detection
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Governance
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Risk Management
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Business Process Management
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Sales & Marketing
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Others
By Organization Size
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Small & Medium Enterprises
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Large Enterprises
By End-use Industry
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BFSI
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Retail
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Public Sector
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Healthcare
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Telecom
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Energy & Power
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Media & Entertainment
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Aerospace & Defense
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Others
By Type
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On-disk
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In-memory
By Geography
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North America
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U.S.
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Canada
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Mexico
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Europe
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UK
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Germany
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France
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Italy
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Rest of Europe
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Asia-Pacific
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China
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India
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Japan
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Australia
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Rest of Asia-Pacific
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RoW
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UAE
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Saudi Arabia
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South Africa
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Brazil
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Remaining Countries
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REPORT SCOPE AND SEGMENTATION:
Parameters |
Details |
Analysis Period |
2019–2030 |
Base Year Considered |
2019 |
Forecast Period |
2020–2030 |
Market Size Estimation |
Billion (USD) |
Market Segmentation |
By Offering (Solutions, Services), by Deployment (Cloud, On-premise), by Application (Customer Experience Market, Fraud Detection, Governance, Risk Management, Business Process Management, Sales & Marketing), by Organization Size (Small & Medium Enterprises, Large Enterprises), by Type (On-disk, In-memory), by End-use Industry (BFSI, Retail, Public Sector, Healthcare, Telecom, Energy & Power, Media & Entertainment, Aerospace & Defense, Others) |
Geographical Segmentation |
North America (U.S., Canada, Mexico) Europe (UK, Germany, Italy, France, Rest of Europe), Asia-Pacific (China, Japan, India, Australia, Rest of APAC), Rest of the World (UAE, Saudi Arabia, South Africa, Brazil, Remaining countries) |
Companies Profiled |
IBM Corporation, NetApp, Inc. Oracle Corporation, SAP SE, Hewlett Packard Enterprise, and VMWare, Inc. |