Latest added Data Fabric Market research study by MarketDigits offers detailed product outlook and elaborates market review till 2027. The market Study is segmented by key regions that is accelerating the marketization. At present, the market is sharping its presence and some of the key players in the study are Denodo Technologies, Splunk, IBM Corporation, NetApp, Oracle Corporation, Software AG, Talend. The study is a perfect mix of qualitative and quantitative Market data collected and validated majorly through primary data and secondary sources.
This report studies the Data Fabric Market size, industry status and forecast, competition landscape and growth opportunity. This research report categorizes the Data Fabric Market by companies, region, type and end-use industry.
Request for Sample Copy of This Report @ https://marketdigits.com/data-fabric-market/sample/
Scroll down 100s of data Tables, charts and graphs spread through Pages and in-depth Table of Content on “Data Fabric Market, By Type (Disk-Based, In-Memory), Business Applications (Fraud Detection and Security Management, Business Process Management, Customer Experience Management, GRC Management), Service, Vertical & Region – Global forecast to 2027”. Early buyers will get 10% customization on study.
To Avail deep insights of Data Fabric Market Size, competition landscape is provided i.e. Revenue Analysis (M $US) by Company (2018-2020), Segment Revenue Market Share (%) by Players (2018-2020) and further a qualitative analysis is made towards market concentration rate, product/service differences, new entrants and the technological trends in future.
Unlock new opportunities in Data Fabric Market; the latest release from MarketDigits highlights the key market trends significant to the growth prospects, Let us know if any specific players or list of players needs to consider to gain better insights.
Purchase Full Report @ https://marketdigits.com/data-fabric-market/buy/
The Data Fabric Market size is estimated to grow from USD 1353.6 Million in 2020 to USD 7414. 2 Million by 2027, growing at a CAGR of 25.5% during the forecast year from 2021 to 2027.
Various factors such as increasing volume and variety of business data, emerging need for business agility and accessibility, and growing demand for real-time streaming analytics are expected to drive the adoption of the data fabric software and services.
COVID-19 impact on global data fabric market
The COVID-19 pandemic has forced businesses to find new alternatives for speedy recovery and attention to the urgent need to access enough data in crisis times. Disparate data stores hamper the efforts of business leaders to make fully informed decisions. Using a modern data architecture approach called data fabric, Ernst & Young (EY) developed Business Resiliency Data Fabric that enables access to data wherever it lives. Data fabric supports rapid technological change while increasing data entropy. To help alleviate the consequences of COVID-19, Denodo launched the Coronavirus Data Portal (CDP), a collaborative initiative that leverages data virtualization to unify critical datasets originally exposed in different formats from multiple sources and countries and make the unified data open to everyone.
Using the CDP and the data virtualization capabilities of the Denodo Platform, pmOne created detailed reports and AI analysis, seamlessly orchestrating all the information streams in the pmOne Share Cockpit. The collaboration of Denodo and pmOne provided the global community with trustworthy, up-to-date data about COVID-19 that can be used to develop new intelligence about COVID-19 and reduce its impact. Banks have transitioned to remote sales and service teams and launched digital outreach to customers to make flexible payment arrangements for loans and mortgages. Grocery stores have shifted to online ordering and delivery as their primary business. Schools in many locales have pivoted to 100% online learning and digital classrooms. Doctors have begun delivering telemedicine, aided by more flexible regulation. These approaches have resulted in the rise of volume and variety of business data, the rise in need for business agility and data accessibility, and increasing demand for real-time streaming analytics, contributing to the growth of the data fabric market.
Driver: Increasing volume and variety of business data
Data fabric solutions and services provide unmatched opportunities to integrate and analyze the structured, semi-structured, and unstructured data sets that otherwise might be disregarded. Not only the business data variety but also the volume of such data sets is increasing day by day due to the evolution of digital and smart technologies across varied business functions. Sensor data, geo-location data, machine data, data generated from social media and weblogs, and data from other sources are increasing tremendously on a daily basis. Storing and gaining knowledge from this data is a matter of concern for most organizations. According to Domo’s eighth-annual Data Never Sleeps graphic, every minute of every day, consumers spend USD 1 million online, make 1.4 million video and voice calls, share 150,000 messages on Facebook, and stream 404,000 hours of video on Netflix. The collective data that needs to be managed by the end of the decade would be huge. Data fabric helps integrate data from various sources, store large amounts of data, and analyze it seamlessly in one place.
Restraint: Lack of integration with legacy systems
The key factor limiting the adoption of data fabric is the organizational culture, which is built upon storing and analyzing business-related data using traditional techniques, such as data warehouse and data marts. Hence, the most significant challenge today is to make businesses more aware of how they can store and analyze real-time critical data coming from various business events for deriving a sustainable impact from data fabric adoption. The adoption of data fabric solutions and services for varied business applications could be exciting, but it is crucial to integrate such data management systems alongside well-established, legacy, and proven systems. Organizations are embedded with multiple levels of systems. There could be major flaws; while legacy systems do not have well-defined interfaces, documentation is scarce, and the IT teams do not possess the required skills. While it is true that data fabric can provide value to various business functions across organizations, the benefits and proposition of such data management technologies are yet to be realized by many organizations.
Opportunity: Increasing adoption of cloud
The adoption of data fabric across various applications is associated with the varying end-user requirements. However, technology advancement also plays a vital role in enhancing the adoption trend by companies and customers. Most of the leading analytics technology vendors are now focusing on developing a complete cloud-based suite that will have the ability to appraise and enhance its digital properties. This model helps organizations in saving time and costs for onsite deployment and management of software solutions. As per an article published by Hosting Tribunal in January 2021, 50% of enterprises spend more than USD 1.2 million on cloud services annually, and 94% of enterprises are already using a cloud service. Hence, the increasing adoption of cloud technologies across industry verticals would create immense potential opportunities for data fabric vendors.
Challenge: Disinclination toward investment in new technologies
The adoption of new technology or changes in the already existing ones requires considerable effort and costs to the company. Adoption of new technology in a company depends on several factors, such as the business value of the technology, compatibility with the existing infrastructure and technologies, complexity, budget constraints, organizational policies, and procedures. Various costs, such as initial set-up costs, including IT, spends and infrastructure requirements, hiring, training, maintenance, and support would further add up to the total cost of ownership of the new technology. Apart from the cost to the company, the interest of the stakeholders and their acceptance toward the change is one of the major factors influencing the probability of adoption of new technology.
Further, traditional applications bring a complicated set of interfaces, which, at times, are not compatible with the third-party software, thus causing errors. The integration of data from various sources and analytics can be a daunting task for enterprises and further complicate system performance. The possibility of errors increases manifolds, as the legacy systems sometimes do not have well-defined interfaces to counter with the new Application Programming Interfaces (APIs). These complications make organizations reluctant to adopt data fabric.
Disk-based data fabric segment to have largest market size during the forecast period
Based on type of data fabric, the market has been segmented into disk-based data fabric and in-memory data fabric. Disk-based data fabric provides various features, such as secured, controlled, and governed data. Additionally, it gives access to data whenever it is required by applications; it also gives the flexibility to migrate data and applications, lessen the cost of ownership and data compliance.
Small and medium-sized enterprises to account for highest CAGR during the forecast period
The Data fabric market has been segmented by organization size into large enterprises and SMEs. The market share of large enterprises is higher; however, the market for SMEs is expected to register a higher CAGR during the forecast period. Good data and storage management are a greater concern for business continuity in SMEs. Data fabric solutions help SMEs to increase their productivity, efficiency, marketing, and many other business processes.
On-premises segment to have largest market size during the forecast period
Based on deployment mode, the market has been segmented into on-premises and cloud. The on-premises segment is expected to hold largest market size while the cloud segment is expected to account for higher CAGR during the forecast period. Industries susceptible to data losses, data privacy, and security breaches prefer on-premises deployment of data management solutions contributing to the higher adoption of on-premises deployment mode.
Business process management to account for highest CAGR during the forecast period
The data fabric market, by business application, comprises fraud detection and security management; governance, risk and compliance management; customer experience management; sales and marketing management; business process management; and other applications including supply chain management, asset management, and workforce management. BPM enables organizations to align business functions with customer needs and helps executives determine how to deploy, monitor, and measure company resources. When properly executed, BPM has the ability to enhance efficiency and productivity, reduce costs, and minimize errors and risk – thereby optimizing results.
APAC to account for highest CAGR during the forecast period
North America is expected to hold the largest market size in the global data fabric market. In contrast, APAC is expected to grow at the highest CAGR during the forecast period due to its growing technology adoption rate. The major countries in APAC that are technology-driven and present major opportunities in terms of investments and revenue include Australia, China, Japan, India, and South Korea. This is the major driving factor for the adoption of Data fabric software in APAC.
Key Market Players
The Data fabric vendors have implemented various types of organic and inorganic growth strategies, such as new product launches, product upgradations, partnerships and agreements, business expansions, and mergers and acquisitions to strengthen their offerings in the market. The major vendors in the global data fabric market include Oracle Corporation (US), IBM Corporation (US), Informatica (US), Talend (US), Denodo Technologies (US), Global IDs (US), NetApp (US), SAP SE (Germany), Software AG (Germany), Splunk (US), Dell Technologies (US), HP Enterprise (US), Teradata Corporation (US), TIBCO Software (US), Precisely (US), Idera (US), Nexla (US), Stardog (US), Gluent (US), Starburst Data (US), HEXstream (US), QOMPLX (US), CluedIn (Denmark), Iguazio (Israel), and Cinchy (Canada). The study includes an in-depth competitive analysis of these key players in the data fabric market with their company profiles, recent developments, and key market strategies.
This research report categorizes the data fabric market based on components, data fabric type, business applications, deployment mode, organization size, vertical, and regions.
Data Fabric Market By Component:
Data Fabric Market By Data Fabric Type:
- Disk-based data fabric
- In-Memory data fabric
Data Fabric Market By Business Applications:
- Fraud Detection and Security Management
- Governance, Risk and Compliance Management
- Customer Experience Management
- Sales and Marketing Management
- Business Process Management
- Other Applications (Supply Chain Management, Asset Management, and Workforce Management)
Data Fabric Market By Deployment Mode:
Data Fabric Market By Organization Size:
- Large enterprises
- Small and medium-sized enterprises (SMEs)
Data Fabric Market By Vertical:
- Telecommunications and IT
- Retail and E-Commerce
- Healthcare and Life Sciences
- Energy and Utilities
- Media and Entertainment
- Other Verticals (Transportation and Logistics, Travel and Hospitality, and Education).
Data Fabric Market By Region:
- North America
- Latin America
- In December 2020, Teradata announced an update for Teradata QueryGrid. It extended the hybrid multi-cloud capability of Vantage and will enable Teradata customers to access data and analytics across heterogeneous technologies and public cloud providers with new cloud-native capabilities. It enables customers to access data and analytics across heterogeneous technologies and public cloud providers with new cloud-native capabilities..
- In December 2020, SAP announced SAP Data Intelligence 3.1. The update includes features such as connectivity and integration, metadata and governance, pipeline modeling, intelligent processing, and deployment and delivery. It is an on-premise edition of the SAP Data Intelligence platform..
- In November 2020, IBM announced new capabilities for IBM Cloud Pak for Data. The update will help companies drive innovation across their expanding environments and accelerate their digital transformations. The platform runs on Red Hat OpenShift. So, it can be deployed and managed in any cloud environment.
- In June 2020, HPE unveiled HPE Ezmeral. It is a new software portfolio and brand that would accelerate data-driven transformation across organizations. It provides a complete portfolio, including container orchestration and management, AI/ML and data analytics, cost control, IT automation, and AI-driven operations, and security. This solution enables organizations to increase agility and efficiency, unlock insights, and deliver business innovation..
- In October 2018, IBM launched AI OpenScale, a data governance platform, which would help organizations build AI-based applications that provide a fair and unbiased outcome.
- In June 2020, Informatica announced an update for the Intelligent Data Platform. The platform was designed to be powered by Informatica’s AI-powered CLAIRE engine. The update would allow businesses to master business-critical data to increase customer retention and loyalty, manage supply chain risk, drive digital commerce, and boost operational efficiency.
- In March 2020, Oracle released Oracle Coherence version 14.1.1. The solution is a part of Oracle’s Enterprise Cloud Native Java portfolio and includes Oracle WebLogic Server 14.1.1. Coherence 14.1.1 brings significant new features to the market, representing many man-years of engineering effort. The platform is fully compatible with popular container and orchestration ecosystems such as Docker and Kubernetes.
- In February 2020, Talend released an update for Talend Data Fabric. The update introduced a Talend Cloud Data Inventory, which automatically calculates the Data Intelligence Score of all data across an organization and presents it in a self-service cloud app for every user. The update also includes capabilities such as AI features and cutting-edge cloud connectivity.
Data Fabric Market research report genuinely attempts to determine the impact of buyers, substitutes, new entrants, competitors, and suppliers on the market. Besides, the Data Fabric Market report gives insights into revenue growth and sustainability initiative. With the global market data provided in this report, it has become easy to gain global perspective for the international business. The market report also performs study on production capacity, consumption, import and export for all major regions across the globe. An international Data Fabric Marketing report aids to establish correlative relationship between the product brand and consumers’ needs and preferences.
This Data Fabric report proves to be a finest and excellent market report as it is generated with the myriad of critical factors. To put marketplace clearly into the focus, most up to date market insights & analysis has been offered via this report. The market data presented in the report helps to recognize different market opportunities present internationally. This Data Fabric report is also useful when launching a new product or expanding the business regionally or globally. Moreover, it considers both qualitative and quantitative techniques of market analysis where focus groups or in-depth interviews & customer survey or analysis of secondary data has been carried out respectively.
This Data Fabric market research report is a demonstrated source of data and information that gives a telescopic view of the current market trends, situations, opportunities & status. Very talented minds have invested their lot of time for doing market research analysis and hence generate this market report. The report performs estimations about top players & brands with respect to their actions such as developments, product launches, acquisitions, merges, joint ventures and competitive research in the market. This global market report gives an exhaustive overview of product specification, technology, product type and production analysis by considering major factors such as revenue, cost, & gross margin.
Influence of the Data Fabric market report
Comprehensive assessment of all opportunities and risks in the Data Fabric market
Data Fabric market recent innovations and major events
A Detailed study of business strategies for the growth of the Data Fabric market-leading players
Conclusive study about the growth plot of the Data Fabric market for forthcoming years
In-depth understanding of Data Fabric market-particular drivers, constraints, and major micro markets
Favorable impression inside vital technological and market latest trends striking the market report
There are 15 Chapters to display the Global Data Fabric market
Chapter 1, Definition, Specifications and Classification of Data Fabric , Applications of Data Fabric , Market Segment by Regions
Chapter 2, Manufacturing Cost Structure, Raw Material and Suppliers, Manufacturing Process, Industry Chain Structure
Chapter 3, Technical Data and Manufacturing Plants Analysis of Data Fabric , Capacity and Commercial Production Date, Manufacturing Plants Distribution, R&D Status and Technology Source, Raw Materials Sources Analysis
Chapter 4, Overall Market Analysis, Capacity Analysis (Company Segment), Sales Analysis (Company Segment), Sales Price Analysis (Company Segment)
Chapter 5 and 6, Regional Market Analysis that includes United States, China, Europe, Japan, Korea & Taiwan, Data Fabric Segment Market Analysis (by Type)
Chapter 7 and 8, The Data Fabric Segment Market Analysis (by Application) Major Manufacturers Analysis of Rolled Annealed Copper Foil
Chapter 9, Market Trend Analysis, Regional Market Trend, Market Trend by Product Type 12µm, 18µm, 35µm, Other, Market Trend by Application Double sided FPC, Single sided FPC, Lithium batteries, Other
Chapter 10, Regional Marketing Type Analysis, International Trade Type Analysis, Supply Chain Analysis
Chapter 11, The Consumers Analysis of Global Rolled Annealed Copper Foil
Chapter 12, Data Fabric Research Findings and Conclusion, Appendix, methodology and data source
Chapter 13, 14 and 15, Data Fabric sales channel, distributors, traders, dealers, Research Findings and Conclusion, appendix and data source
Any Questions? Inquire Here Before Buying @ https://marketdigits.com/data-fabric-market/analyst/
MarketDigits is one of the leading business research and consulting companies that helps clients to tap new and emerging opportunities and revenue areas, thereby assisting them in operational and strategic decision-making. We at MarketDigits believe that market is a small place and an interface between the supplier and the consumer, thus our focus remains mainly on business research that includes the entire value chain and not only the markets.
We offer services that are most relevant and beneficial to the users, which help businesses to sustain in this competitive market. Our detailed and in-depth analysis of the markets catering to strategic, tactical, and operational data analysis & reporting needs of various industries utilize advanced technology so that our clients get better insights into the markets and identify lucrative opportunities and areas of incremental revenues.
USA : +1 847 450 0808
Email : email@example.com