Analysis of Data Fabric Market Covering 30+ Countries Including Analysis of US, Canada, UK, Germany, France, Nordics, GCC countries, Japan, Korea and many more
The global data fabric market is valued at US$ 2 billion in 2023 and is estimated to reach US$ 15 billion by the end of 2033, advancing at a stupendous CAGR of 22.3% from 2023 to 2033 (forecast period).
Data fabric is the collection of data services that manage data through a network-based architecture rather than point-to-point connections. It is a robust architecture that monitors and handles data and applications from any location.
Data fabric is employed for data management to aid in integrating data from multiple sources and analyzing it in one place. It is commonly used by enterprises to provide a comprehensive perspective of business and customers throughout an organization by combining diverse data sets, both real-time and historical, and then efficiently automating processes.
Data fabric provides unique opportunities to combine and analyze a wide range of data sets that would otherwise be overlooked. The increasing adoption of digital and smart technologies across various company activities such as finance, human resources, and supply chain management is increasing the usage of data fabric software.
Various data created through weblogs and social media, as well as data from other sources like geo-location data, machine data, and sensor data, are increasing sharply. Most major companies and organizations are deploying data fabric solutions to acquire real-time insights from such growing data.
Data fabric facilitates data from various sources, enables organizations to store vast amounts of data, and analyzes those data in some location effortlessly. Data fabric has numerous advantages, including extracting value from any data, storing all types of organized and unorganized data, and centralized data access via a unified, single view of data across organizations.
Due to the COVID-19 pandemic, the rapid move to digitization created unstable and new data sources. This wreaked havoc on enterprise data management.
As a result, several organizations incorporated data management architecture in their workflow system to deal with the enormous expansion of data during the pandemic. Consequently, organizations around the world began aggressively implementing technologies to expedite digital transformation.
Data security and reliability are also critical for proper corporate activities and better results. Businesses can obtain secure data by adhering to worldwide regulations that protect the sensitive data of their clients or consumers.
As a result, adopting more robust data management systems has become critical for enterprises all over the world. A data fabric is a well-organized architecture that provides an extra layer of security against unwanted access and data misuse. Its ecosystem ensures dependable data management by providing a secure-by-design architecture. Such factors are boosting global demand for data fabric solutions.
Data Fabric Market Size in 2023
US$ 2 Billion
Projected Market Value (2033)
US$ 15 Billion
Global Market Growth Rate (2023 to 2033)
North American Market Share (2022)
In-memory Segment Share (2022)
Key Companies Profiled
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“Good Return on Investment”
Data fabric can provide a good return on investment for businesses in a variety of ways. At their essence, data fabric systems improve operational efficiency. They enable the elimination of paper documents and the reduction of handover latencies. Analytical systems are concerned with the efficiency of business operations. They allow an organization to target the finest prospects, assess risk more precisely, and make better use of business resources.
Data fabric generally converts this efficiency into a positive return on investment in numerous ways. It has more throughput and lower latency than standard low-latency IP-based middleware. Data fabric offers remarkable speed with reduced CPU overhead, allowing business applications to execute more vital work faster. Finally, the most expensive resources can be deployed to the areas where they will have the greatest impact, providing value to the solution.
“Incorporation of ML/AI in Data Integration Tools”
The growth of online platforms and digital transformation has accelerated the data generation process. Companies store data and the insights produced from it in dispersed locations. As a result, data management providers confront several issues in providing timely access to data across these scattered ecosystems. The increased distribution and variety of commercial data assets complicate data management and integration.
As a result, data analytics businesses are investing in innovative technologies to assist data management methods. Consequently, the demand for ML/ AI-based data fabric architectures has surged.
ML/AI-powered solutions provide instant access to data to assist firms in developing new marketing strategies and identifying prospective customers. It delivers 360-degree crucial insights about suppliers and customers, which aids in increasing sales rates.
“Lack of Willingness to Invest in New Technologies”
Adoption of new technologies or making adjustments to old ones necessitates significant effort and expense for the firm. The incorporation of new technologies like meta data management, data catalog, and data fabric is dependent on a variety of factors, including the technology's business value, complexity, interoperability with current infrastructure, administrative policies, and budget constraints.
The total ownership cost of the new technology includes the costs of initial set-up owing to IT spending and infrastructure requirements, training and recruiting charges, and maintenance and support costs. Other elements that influence the adoption of new data management systems include the importance of stakeholders and their willingness to accept change.
Furthermore, old-fashioned apps have intricate interfaces that may cause interoperability issues with third-party software, resulting in errors. Incorporating data generated from numerous channels can be tricky for organizations, lowering overall company performance. As a result of these concerns, enterprises are reluctant to implement data fabric solutions.
“Growing Use of Cloud Technology and Presence of Robust IT Infrastructure”
North America held 46% share of the global market in 2022. The North American market is expanding rapidly as a result of the increasing use of data in various BI tools and the increased acceptance of digital technologies in industries like telecom & IT, healthcare, manufacturing, and BFSI.
The United States is the market leader in North America. The increasing use of cloud technology in the country is one of the primary factors driving the country's market. Moreover, the United States has a robust IT infrastructure and the financial capacity to construct a solid infrastructure to enable digital transformation and the uptake of sophisticated technologies like cloud computing and artificial intelligence.
“Germany and United Kingdom to Contribute Significantly to Regional Market Growth”
Big data technologies are rapidly expanding in Europe, paving the way for the adoption of data management systems. The growing usage of electronic devices and networks, developments in information and communication technology, and the digitalization of manufacturing processes generate massive amounts of data on a daily basis, boosting the demand for data fabric tools.
Germany and the United Kingdom are key revenue generating countries in Europe due to significant investments in various technologies such as IoT, AI, and big data.
“Rapid Shift towards Digitalization and Increasing Data Centers”
Asia Pacific is one of the world's digital powerhouses. As a result, businesses in the region have immediately recognized the advantages of cloud technology as a digital transformation enabler. The rapid expansion of the Asia Pacific market is due to significant data growth in various industries throughout the region. Moreover, the presence of a huge population and expanding infrastructure and technology are important aspects propelling the growth of the Asia Pacific market.
Japan and South Korea are among the major countries in Asia Pacific that are technologically advanced and offer excellent investment and income potential. A rapid shift toward digitalization and increasing data centers are two factors raising the use of data fabric solutions in these countries.
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“In-memory Data Fabric's Ability to Store Massive Amounts of Data”
Data fabric emerged as a result of the massive amount of data collected and kept in data lakes. Business organizations employ data fabric to handle and transfer data between two repositories. There are two types of data fabric: in-memory data fabric and disk-based data fabric.
In-memory data fabric accounted for 67% of the global market in 2022. With its BigMemory feature, the in-memory data fabric enables enterprises to retrieve data swiftly. In-memory data grids establish an environment by utilizing Random Access Memory (RAM), which can hold a massive quantity of data needed by applications. The data is easily accessible by enabling instant access to in-memory and can be accessed by many people via various apps.
The data fabric space has witnessed numerous new developments in recent years. Key players in the data fabric market are collaborating to combine their technological skills in cloud integration, analytics, and AI to provide superior insights to consumers based on their needs.
Likewise, to extend their market presence, these players are investing in improvements and innovations. The innovation can be a new service, a new product, or an enhancement to an existing product designed to generate market demand and provide a solution to the needs of customers or partners.
Moreover, key players are also collaborating with start-ups to increase their offerings.
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The global data fabric market is worth US$ 2 billion in 2023.
The market for data fabric is projected to touch US$ 15 billion by 2033.
Worldwide demand for data fabric is anticipated to increase at a CAGR of 22.3% from 2023 to 2033.
North America accounted for 46% share of the global market in 2022.
Denodo Technologies Inc, Cambridge Semantics, Oracle Corporation, IBM Corporation, and Hewlett Packard Enterprise Development LP are key data fabric solution providers.
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