Data Fabric Market was valued at US$ 1.48 Bn. in 2022. The Global Data Fabric Market size is estimated to grow at a CAGR of 24.9% over the forecast period.
Data Fabric Market Overview:The Data Fabric market analyzes and forecasts the market size, in terms of value, for the market. Further, the Data Fabric Market is segmented by Component, Deployment, Organization Size, Application, End-user, Type, and Region. Based on Component, the Data Fabric market is segmented under Software and Services.Based on End-user, the market is segmented under IT & Telecom, Manufacturing, BFSI, Healthcare, and Others. The market sizing and forecasts have been done for each segment based on value (in USD Billion).To know about the Research Methodology :- Request Free Sample Report 2022 is considered as a base year to forecast the market from 2023 to 2029. 2022’s market size is estimated on real numbers and outputs of the key players and major players across the globe. The past five years' trends are considered while forecasting the market through 2029. 2020 is a year of exception and analysis, especially with the impact of lockdown by region.
Data Fabric Market Dynamics:Private and public investments have surged up to millions of dollars in big data analytics applications. The rapid growth in data volume and complexity due to the use of mobile data and cloud computing and the use of more advanced technologies, including artificial intelligence (AI) and the internet of things (IoT), drive the need for big data analytics technologies. This technology has a great deal of potential to transform the way businesses operate. Large structured and unstructured data sets can be effectively analyzed by using big data platforms. The banking and finance industry is one of the leading industries that invest heavily in big data and analytics. North America and Europe are two of the most active markets for these technologies. These regions are also implementing several programs to implement big data in numerous industries. One of the major drivers of the data fabric market is big data analytics technology, which helps gain actionable insights from structured and unstructured data, including web and social media data. Big data analysis provides businesses with crucial insight for improving customer retention, new market discovery, enhancing customer service, retaining employees, and increasing customer loyalty. Consequently, growing consumer demand for real-time analytics contributes to the growth of the data fabric market. There are some factors hindering market revenue growth, including a lack of awareness about data fabric and a shortage of skilled professionals. Moreover, lack of investment in newer technologies and integration concerns with legacy systems are some of the factors expected to restrain market revenue growth within the forecast period. Today, businesses must learn more about how they can store and analyze real-time, critical data coming from a range of business events to achieve a sustainable impact from the adoption of data fabrics. Technology advancements contribute significantly to increasing the adoption trend by companies and customers. Leading analytics technology vendors are now concentrating on developing a complete cloud-based suite that will be able to evaluate and enhance their digital assets. Using this model, organizations can save time and money for onsite deployment and management of software solutions. According to a report published by Hosting Tribunal in January 2022, 50% of enterprises spend more than USD 1.2 million on cloud services annually, and 94% use a cloud service already. Hence, the growing use of cloud technologies across vertical industries will create immense opportunities for data fabric vendors.
Data Fabric Market COVID-19 Insights:Enterprises were forced to look for innovative solutions after COVID-19 to ensure rapid recovery while also concentrating on the need for access to adequate data during disasters. Additionally, financial institutions made the shift to remote service and marketing staff, as well as introduced digital outreach to offer customized loans and mortgages to clients. Universities have implemented online education and virtual classrooms, which increases the number and diversity of corporate data, contributing to the market revenue growth, which was witnessed during COVID-19 and is expected to continue to fuel revenue growth during the forecast period. Data Fabric Market Trends: As the market trends toward reducing inconsistencies and improving data quality, the ability of data fabric solutions to enable self-service data consumption while also being able to incorporate controls and automate the integration process is a key contributing factor to market growth; companies have begun customizing data to gain deeper insights, which aids in minimizing inconsistencies and improving data quality.
Data Fabric Market Segment Analysis:Based on Deployment, the Data Fabric Market is segmented into On-premises and On-cloud. On-premises is expected to have the largest market share through the forecast period. Many industries that are sensitive to data losses, privacy breaches, and security breaches prefer on-premises deployments of data management solutions, which is why on-premises deployments are adopted more frequently. Based on Organization Size, the Data Fabric Market is segmented into Large and SMEs. The market share for large enterprises is higher, and the market for small and medium-sized businesses is expected to register a higher CAGR during the forecast period. Business continuity is a greater concern for SMEs, and Data Fabric solutions can make them more productive, efficient, and marketable, as well as improve other aspects of their operations. Based on Application, the Data Fabric Market is segmented into Customer Experience Management, Fraud Detection Management, Business Process Management, Asset Management, and Others. Business Process Management had the highest market share in 2022, and it will boost the market growth during the forecast period. Businesses using BPM can align their business processes with customer needs, monitor and measure company resources, reduce costs, and minimize errors and risks. BPM can be used to create greater efficiency and productivity, reduce costs, and minimize errors. Based on Type, the Data Fabric Market is segmented into In-Memory Data Fabric and Disk-based Data Fabric. The Disk-based Data Fabric had the highest market share in 2022. A disk-based data fabric offers many features such as controlled, governed, and secured data. A data warehouse also allows users to access data whenever they need it for their applications, as well as migrate data and applications so that the cost of ownership and data compliance is reduced.
Regional Insights:The North America region held the largest market share accounting for 46.1% in 2022. As mobile broadband and big data analytics grow, data center infrastructure solutions in North America have seen remarkable growth. Cloud computing, mobile broadband, and big data analytics are among the driving forces behind the growth in data centers. Data centers have increased in number due to the installation of multi-core processors, which run multiple applications on a single processor, and the need for high-speed data transfer systems, which leads to increased demand for high-bandwidth networking fabrics in this region. The Asia Pacific region is expected to witness significant growth during the forecast period. Data fabric was adopted in APAC by the major technology-driven countries in China, Japan, India, and South Korea, which are the primary drivers of investment and revenue in the region. The objective of the report is to present a comprehensive analysis of the global Data Fabric Market to the stakeholders in the industry. The past and current status of the industry with the forecasted market size and trends are presented in the report with the analysis of complicated data in simple language. The report covers all the aspects of the industry with a dedicated study of key players that include market leaders, followers, and new entrants. PORTER, PESTEL analysis with the potential impact of micro-economic factors of the market have been presented in the report. External as well as internal factors that are supposed to affect the business positively or negatively have been analyzed, which will give a clear, futuristic view of the industry to the decision-makers. The reports also help in understanding the Data Fabric Market dynamic and structure by analyzing the market segments and projecting the Data Fabric Market size. Clear representation of competitive analysis of key players by Design, price, financial position, product portfolio, growth strategies, and regional presence in the Data Fabric Market make the report investor’s guide.
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Data Fabric Market Report Coverage Details Base Year: 2022 Forecast Period: 2023-2029 Historical Data: 2018 to 2022 Market Size in 2022: US$ 1.48 Bn. Forecast Period 2023 to 2029 CAGR: 24.9% Market Size in 2029: US$ 7.04 Bn. Segments Covered: by Component Software Services by Deployment On-premises 0n-cloud by Organization Size Large SME by Application Customer Experience Management Fraud Detection Management Business Process Management Asset Management Others by End-user IT & Telecom Manufacturing BFSI Healthcare Others by Type In-Memory Data Fabric Disk-based Data Fabric
Data Fabric Market by Region:North America (United States, Canada and Mexico) Europe (UK, France, Germany, Italy, Spain, Sweden, Austria and Rest of Europe) Asia Pacific (China, South Korea, Japan, India, Australia, Indonesia, Malaysia, Vietnam, Taiwan, Bangladesh, Pakistan and Rest of APAC) Middle East and Africa (South Africa, GCC, Egypt, Nigeria and Rest of ME&A) South America (razil, Argentina Rest of South America)
Key Players:1. Denodo Technologies 2. Global IDs 3. IBM Corporation 4. Informatica 5. NetApp 6. Oracle Corporation 7. SAP SE 8. Software AG 9. Splunk 10. Talend 11. Dell Technologies 12. HP Enterprise 13. Teradata Corporation 14. TIBCO Software 15. Precisely 16. Idera 17. Nexla 18. Stardog 19. Gluent 20. Starburst Data 21. Other Key Players Frequently Asked Questions: 1. Which region has the largest share in Global Data Fabric Market? Ans: North America region held the highest share in 2022. 2. What is the growth rate of Global Data Fabric Market? Ans: The Global Data Fabric Market is growing at a CAGR of 24.9% during forecasting period 2023-2029. 3. What is scope of the Global Data Fabric market report? Ans: Global Data Fabric Market report helps with the PESTEL, PORTER, COVID-19 Impact analysis, Recommendations for Investors & Leaders, and market estimation of the forecast period. 4. Who are the key players in Global Data Fabric market? Ans: The important key players in the Global Data Fabric Market are – Denodo Technologies, Global IDs, IBM Corporation, Informatica, NetApp, Oracle Corporation, SAP SE, Software AG, Splunk, Talend, Dell Technologies, 5. What is the study period of this market? Ans: The Global Data Fabric Market is studied from 2022 to 2029.
1. Data Fabric Size: Research Methodology 2. Data Fabric Size: Executive Summary 2.1. Market Overview and Definitions 2.1.1. Introduction to Data Fabric Size 2.2. Summary 2.2.1. Key Findings 2.2.2. Recommendations for Investors 2.2.3. Recommendations for Market Leaders 2.2.4. Recommendations for New Market Entry 3. Data Fabric Size: Competitive Analysis 3.1. MMR Competition Matrix 3.1.1. Market Structure by region 3.1.2. Competitive Benchmarking of Key Players 3.2. Consolidation in the Market 3.2.1 M&A by region 3.3. Key Developments by Companies 3.4. Market Drivers 3.5. Market Restraints 3.6. Market Opportunities 3.7. Market Challenges 3.8. Market Dynamics 3.9. PORTERS Five Forces Analysis 3.10. PESTLE 3.11. Regulatory Landscape by region • North America • Europe • Asia Pacific • The Middle East and Africa • Latin America 3.12. COVID-19 Impact 4. Data Fabric Size Segmentation 4.1. Data Fabric Size, by Component (2022-2029) • Software • Service 4.2. Data Fabric Size, by Deployment (2022-2029) • On-premise • Cloud 4.3. Data Fabric Size, by Organization Size (2022-2029) • Large • SME 4.4. Data Fabric Size, by Application (2022-2029) • Customer Experience Management • Fraud Detection Management • Business Process Management • Asset Management • Others 4.5. Data Fabric Size, by End-User (2022-2029) • IT & Telecom • Manufacturing • BFSI • Healthcare • Others 4.6. Data Fabric Size, by Type (2022-2029) • In-Memory Data Fabric • Disk-based Data Fabricc 5. North America Data Fabric (2022-2029) 5.1. North America Data Fabric Size, by Component (2022-2029) • Software • services 5.2. North America Data Fabric Size, by Deployment (2022-2029) • On-premise • On-cloud 5.3. North America Data Fabric Size, by Organization Size (2022-2029) • Large • SME 5.4. North America Data Fabric Size, by Application (2022-2029) • Customer Experience Management • Fraud Detection Management • Business Process Management • Asset Management • Others 5.5. North America Data Fabric Size, by End-User (2022-2029) • IT & Telecom • Manufacturing • BFSI • Healthcare • Others 5.6. North America Data Fabric Size, by Type (2022-2029) • In-Memory Data Fabric • Disk-based Data Fabric 5.7. North America Data Fabric, by Country (2022-2029) • United States • Canada • Mexico 6. European Data Fabric (2022-2029) 6.1. European Data Fabric, by Component (2022-2029) 6.2. European Data Fabric, by Deployment (2022-2029) 6.3. European Data Fabric, by Organization Size (2022-2029) 6.4. European Data Fabric, by Application (2022-2029) 6.5. European Data Fabric, by End-User (2022-2029) 6.6. European Data Fabric, by Type (2022-2029) 6.7. European Data Fabric, by Country (2022-2029) • UK • France • Germany • Italy • Spain • Sweden • Austria • Rest Of Europe 7. Asia Pacific Data Fabric (2022-2029) 7.1. Asia Pacific Data Fabric, by Component (2022-2029) 7.2. Asia Pacific Data Fabric, by Deployment (2022-2029) 7.3. Asia Pacific Data Fabric, by Organization Size (2022-2029) 7.4. Asia Pacific Data Fabric, by Application (2022-2029) 7.5. Asia Pacific Data Fabric, by End-User (2022-2029) 7.6. Asia Pacific Data Fabric, by Type (2022-2029) 7.7. Asia Pacific Data Fabric, by Country (2022-2029) • China • India • Japan • South Korea • Australia • ASEAN • Rest Of APAC 8. The Middle East and Africa Data Fabric (2022-2029) 8.1. The Middle East and Africa Data Fabric, by Component (2022-2029) 8.2. The Middle East and Africa Data Fabric, by Deployment (2022-2029) 8.3. The Middle East and Africa Data Fabric, by Organization Size (2022-2029) 8.4. The Middle East and Africa Data Fabric, by Application (2022-2029) 8.5. The Middle East and Africa Data Fabric, by End-User (2022-2029) 8.6. The Middle East and Africa Data Fabric, by Type (2022-2029) 8.7. The Middle East and Africa Data Fabric, by Country (2022-2029) • South Africa • GCC • Egypt • Nigeria • Rest Of ME&A 9. Latin America Data Fabric (2022-2029) 9.1. Latin America Data Fabric, by Component (2022-2029) 9.2. Latin America Data Fabric, by Deployment (2022-2029) 9.3. Latin America Data Fabric, by Organization Size (2022-2029) 9.4. Latin America Data Fabric, by Application (2022-2029) 9.5. Latin America Data Fabric, by End-User (2022-2029) 9.6. Latin America Data Fabric, by Type (2022-2029) 9.7. Latin America Data Fabric, by Country (2022-2029) • Brazil • Argentina • Rest Of Latin America 10. Company Profile: Key players 10.1. Denodo Technologies 10.1.1. Company Overview 10.1.2. Financial Overview 10.1.3. Presence 10.1.4. Capacity Portfolio 10.1.5. Business Strategy 10.1.6. Recent Developments 10.2. IDs 10.3. IBM Corporation 10.4. Informatica 10.5. netApp 10.6. oracle Corporation 10.7. SAP SE 10.8. Software AG 10.9. Splunk 10.10. Talend 10.11. Dell Technologies 10.12. HP Enterprise 10.13. Teradata Corporation 10.14. TIBCO Software 10.15. Precisely 10.16. Idera 10.17. Nexla 10.18. Stardog 10.19. Gluent 10.20. Starburst Data