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Global Data Fabric Market Report to 2027: Players Include IBM, SAP, Oracle, Informatica and TalendDUBLIN, Jan. 26, 2023 /PRNewswire/ -- The "Data Fabric Market by Component (Solutions & Services), Type (Disk-Based & In-Memory), Application (Fraud Detection & Security Management, Preventive Maintenance Analysis), Vertical (BFSI, Healthcare & Life Sciences) and Region - Global Forecast to 2027" report has been added to ResearchAndMarkets.com's offering. The Data Fabric market size to grow from USD 1.6 billion in 2022 to USD 6.2 billion by 2027, at a Compound Annual Growth Rate (CAGR) of 30.9% during the forecast period. Education & Training Services to register for the largest CAGR during the forecast period Professional services are classified into three categories: consulting, education & training, and support & maintenance. Organizations focus on their core business and do not have to manage the data fabric, due to which they cannot provide complete attention to the niche areas of management. In this case, professional service providers come into existence. The companies can outsource their professional services to these organizations that take complete responsibility for the work and provide complete security and safety. SMEs to hold highest CAGR during the forecast period Based on organization size, the data fabric market has been segmented into SMEs and large enterprises. Organizations with several employees between 0 and 999 are said to be SMEs. SMEs are also implementing data fabric strategies to store and analyze various amounts and data. SMEs are using data fabric to store data of a larger target audience globally. Organizations providing data fabric solutions need robust infrastructure to help reduce costs and increase profits. The scalable functionality of data fabric provided by data fabric vendors helps SMEs implement strategies without investing in the infrastructure and reap the profits attained using their solutions. The agile and robust characteristics of data fabric enable organizations to store and analyze their data more efficiently Asia Pacific to hold highest CAGR during the forecast period Based on regions, the Edge AI market is segmented into North America, Asia Pacific, Europe, Middle East & Africa and Latin America. Asia Pacific is among the digital hubs of the world. Thus, businesses in the region have quickly identified the benefits of cloud technology as a facilitator of digital transformation. The region has great scope for growth in the data fabric market. It is focused on innovating and developing BI solutions that utilize data fabric technology in various verticals, such as telecom & IT, transportation, and BFSI. Japan, China, and India use data fabric tools and platforms across different business verticals to provide effective solutions. The rapid development of the data fabric market in the Asia Pacific region can be attributed to the massive data growth in all industries across the region. Whether the BFSI, retail & eCommerce, and healthcare end users, the massive data flow has created the need for effective data fabric solutions. Moreover, the rapid expansion of domestic enterprises and the higher development of infrastructure are some of the important factors expected to drive the growth of the data fabric market in Asia Pacific. IBM, SAP, HPE, and Oracle are some companies offering data fabric solutions to provide insights across various end-users. Key Topics Covered: 1 Introduction 2 Research Methodology 3 Executive Summary 4 Premium Insights 5 Market Overview and Industry Trends 5.4 Market Dynamics 5.4.1 Drivers 5.4.1.1 Increasing Volume and Variety of Business Data 5.4.1.2 Emerging Need for Business Agility and Accessibility 5.4.1.3 Rising Demand for Real-Time Streaming Analytics 5.4.2 Restraints 5.4.2.1 Lack of Awareness Regarding Implementation of Data Fabric Solutions 5.4.2.2 Issues Related to Integrating Legacy Systems 5.4.3 Opportunities 5.4.3.1 Generating Positive Return on Investment 5.4.3.2 Growing Demand for Cloud-based Data Fabric Solutions for Better Scalability 5.4.3.3 Increasing Advancements in In-Memory Computing 5.4.4 Challenges 5.4.4.1 Reluctance in Investment in New Technologies 5.4.4.2 Lack of Sufficiently Skilled Workforce 5.5 Ecosystem 5.6 Case Study Analysis 5.6.1 Case Study 1: Bmc Transformed Complex Technology into Extraordinary Business Performance with Data Fabric 5.6.2 Case Study 2: Ducati and Netapp Built Data Fabric Solutions to Boost Innovation 5.6.3 Case Study 3: Ingenico Used Hpe Ezmeral Data Fabric Solution to Develop Single Unified Data Platform 5.6.4 Case Study 4: Leading Healthcare Provider Used Hpe Ezmeral Data Fabric to Bring Together Disparate Data Sources into One Data Lake 5.6.5 Case Study 5: Hackensack Meridian Health Mastered and Catalog Patient Data 5.6.6 Case Study 6: City Furniture Leveraged Denodo Platform to Establish Logical Data Fabric in Support of Digital Transformation 5.6.7 Case Study 7: Syracuse University Improved University Operations and Academic Capability with Unified Data Fabric 5.6.8 Case Study 8: Brembo Asurion Achieved Cloud Modernization with Proper Data Security and Governance in Place 5.6.9 Case Study 9: Kpmg Implemented Informatica Mdm Solutions to Help Optimize Data for Digital Transformation 5.7 Supply Chain Analysis 5.8 Regulatory Implications 5.9 Patent Analysis 5.10 Key Conferences and Events, 2022-2023 5.11 Technology Analysis 5.12 Pricing Analysis 5.13 Role of Data Fabric Across Major Business Functions 5.14 Porter's Five Forces Analysis 5.15 Market: Recession Impact 5.16 Key Stakeholders and Buying Criteria 5.17 Trends/Disruptions Impacting Buyers/Clients of Market 6 Data Fabric Market, by Component 7 Data Fabric Market, by Type 8 Data Fabric Market, by Organization Size 9 Market, by Deployment Mode 10 Data Fabric Market, by Application 11 Data Fabric Market, by Vertical 12 Data Fabric Market, by Region 13 Competitive Landscape 14 Company Profiles 15 Adjacent and Related Markets 16 Appendix For more information about this report visit https://www.researchandmarkets.com/r/qo37ps-fabric?w=5
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