What is the global market size of Data Fabric Market?

Global Data Fabric Market size was valued at USD 1.3 billion in 2021 and is poised to grow from USD 1.90 billion in 2022 to USD 9.36 billion by 2030, growing at a CAGR of 22.3% in the forecast period (2023-2030).

Who are the key vendors in the Global Data Fabric Market?

The competitive environment of the data fabric market is dynamic and characterized by the presence of established industry leaders and emerging players vying for market share. Established players leverage their experience, extensive customer bases, and global presence to maintain a stronghold in the market. Simultaneously, innovative startups and niche providers contribute to market diversification by introducing novel solutions and addressing specific industry needs. The competitive dynamics are further fueled by ongoing advancements in data fabric technologies, as well as the increasing demand for comprehensive data management solutions. 'Atlan', 'IBM', 'Oracle', 'Informatica', 'Talend', 'Cloudera', 'TIBCO Software', 'SAP', 'Denodo', 'HPE', 'Dell Technologies', 'NetApp', 'Teradata', 'Splunk', 'Intenda', 'Incorta', 'K2View', 'Cinchy', 'Precisely', 'Global IDs'

What is the key driver of the Global Data Fabric Market?

The increasing adoption of hybrid and multi-cloud environments by organizations necessitates advanced data management solutions, with data fabric emerging as a crucial facilitator for seamless integration and accessibility. The demand for real-time analytics and insights is a driving force, prompting businesses to invest in data fabric to ensure efficient data orchestration. Furthermore, the surge in unstructured data, coupled with the need for effective data governance, positions data fabric as an essential solution.

What is the key market trend for the Global Data Fabric Market?

The increasing adoption of edge computing, prompting organizations to leverage data fabric solutions for efficient data management and processing at the edge. The integration of artificial intelligence (AI) and machine learning (ML) capabilities within data fabric platforms is another prominent trend, empowering businesses to derive actionable insights and enhance decision-making. Furthermore, there is a growing emphasis on the convergence of data fabric with data analytics tools, providing organizations with a comprehensive approach to data utilization.

Which region accounted for the largest share in Global Data Fabric Market?

North America is likely to dominate the market, driven by its advanced technological landscape, widespread adoption of data-driven solutions, and the presence of key industry players. The region's mature IT infrastructure and continuous investments in emerging technologies contribute to its dominance in the data fabric market.

Data Fabric Companies

Data Fabric Market Competitive Landscape

Top Player’s Company Profiles

IBM (US)
SAP (Germany)
Oracle (US)
Denodo (US)
HPE (US)
Dell Technologies (US)
NetApp (US)
Teradata (US)
Software AG (Germany)
TIBCO Software (US)
Splunk (US)
Global IDs (US)
Cinchy (Canada)
K2View (US)
IDERA (US)
Incorta (US)
Radiant Logic (US)
Intenda (South Africa)
Atlan (India)
Nexla (US)
Stardog (US)
Gluent (US)
Starburst Data (US)
Hexstream (France)
Qomplx (US)
CluedIn (Denmark)
Iguazio (Israel)
Alex Solutions (US)

FAQs

Global Data Fabric Market size was valued at USD 1.7 billion in 2022 and is poised to grow from USD 2.23 billion in 2023 to USD 19.31 billion by 2031, growing at a CAGR of 31% during the forecast period (2024-2031).

The data fabric market is characterized by fierce competition among players ranging from established technology giants to innovative start-ups. These companies compete to satisfy enterprises’ growing needs for data integration, real-time analytics and seamless use of data across multiple environments (off-campus, hybrid and multi-cloud). Key drivers of competitiveness include technical capabilities, integration strategies, scalability, cost. and efficiency. Leading companies in this market, such as IBM, Informatica, Oracle, SAP, and Microsoft, focus on providing complete Data Fabric solutions that can handle complex data management tasks. 'IBM (US) ', 'SAP (Germany) ', 'Oracle (US) ', 'Denodo (US) ', 'HPE (US) ', 'Dell Technologies (US) ', 'NetApp (US) ', 'Teradata (US) ', 'Software AG (Germany) ', 'TIBCO Software (US) ', 'Splunk (US) ', 'Global IDs (US) ', 'Cinchy (Canada) ', 'K2View (US) ', 'IDERA (US) ', 'Incorta (US) ', 'Radiant Logic (US) ', 'Intenda (South Africa) ', 'Atlan (India) ', 'Nexla (US) ', 'Stardog (US) ', 'Gluent (US) ', 'Starburst Data (US) ', 'Hexstream (France) ', 'Qomplx (US) ', 'CluedIn (Denmark) ', 'Iguazio (Israel) ', 'Alex Solutions (US)'

Rapid growth in data production and complexity across industries are key drivers for the data fabric market. As organizations expand their digital footprint, data from multiple sources such as IoT devices, social media, mobile applications, and business processes grow exponentially. This complex data ecosystem requires integrated solutions and scalable for better data handling, integration and analysis. A data fabric that can integrate data from multiple sources and provide comprehensive views across applications meets this need by providing a simple and centralized approach to data management. It also empowers organizations to gain actionable insights quickly, increase operational efficiency and decision-making processes.

Increasing Integration of AI and Machine Learning: Integrating artificial intelligence (AI) and machine learning (ML) capabilities into data fabric solutions is a transformational trend that advances data processing, analytics, and processing. AI-powered data fabric capabilities enable data discovery, classification, and quality management automatically, making data more accurate and accessible. AI-driven insights allow companies to spot trends and anomalies, enabling predictive analytics and better decision-making. As a result, vendors are increasingly integrating AI/ML into their data fabric offerings, attracting more businesses aiming to capitalize on advanced analytics and compete in the digital landscape.

North America is the dominant region of the data fabric market, driven by technologically savvy companies and large enterprises in the United States and Canada. These organizations invest heavily in building advanced data solutions compete and meet customer demands for the personalized experiences. Strong North American technology infrastructure, combined with the availability of leading cloud and data stewards, encourages innovation and rapid deployment of data fabric solutions. North American companies are leading the way in adopting cloud computing and big data technologies, making them predominant providers of data fabric solutions to manage complex data integrations. Data fabric enables increased access to data in hybrid multicloud ecosystems by connecting those data silos.

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What is the global market size of Data Fabric Market?

Who are the key vendors in the Data Fabric Market?

What is the key driver of Data Fabric Market?

What is the key market trend for Data Fabric Market?

Which region accounted for the largest share in Data Fabric Market?

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