Global Data Fabric Market
Marktgröße in Milliarden USD
CAGR :
% 
 Prognosezeitraum |
2022 –2028 |
 Marktgröße (Basisjahr) | |
 Marktgröße (Prognosejahr) | USD 1,055.90 Million |
 CAGR |
% |
| Wichtige Marktteilnehmer |
|
Global Data Fabric Market, By Type (In-Memory Data Fabric, Disk-Based Data Fabric), Component (Software, Service), Business Application (Fraud Detection and Security Management, Customer Experience Management, Governance, Risk, and Compliance Management, Sales and Marketing Management, Business Process Management, Others), Deployment Mode (On-premise, Cloud), Organization Size (Small and Medium Enterprises, Large Enterprises), Industry Verticals (Banking, Financial Services, and Insurance (BFSI), Telecommunications and IT, Retail and Ecommerce, Healthcare and Life Sciences, Manufacturing, Government, Others), Country (U.S., Canada, Mexico, Brazil, Argentina, Rest of South America, Germany, France, Italy, U.K., Belgium, Spain, Russia, Turkey, Netherlands, Switzerland, Rest of Europe, Japan, China, India, South Korea, Australia, Singapore, Malaysia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific, U.A.E, Saudi Arabia, Egypt, South Africa, Israel, Rest of Middle East and Africa) Industry Trends and Forecast to 2028.
Market Analysis and Insights : Global Data Fabric Market
Data Bridge Market Research analyses that the data fabric market will exhibit a CAGR of 26.12% for the forecast period of 2021-2028.
Data fabric is a diversified data management platform that seamlessly connects real-time and historical data. This is a software-based method to data management that allows a corporation to interface with and restructure data management across different storage resources. The security supplied to the data, the efficiency of the service, and the development of the client experience are driving the data fabric industry.
The surge in the demand for real time streaming analytics and growing need for business agility and accessibility will influence the market growth rate. Furthermore, emerging volume and variety of business data and rising adoption of cloud are the factors that will accelerate growth of the data fabric market. Also, the market is being driven by the high adoption rate of data fabric platforms because it enable applications and tools to access data using wide range of interfaces that a business has deployed.
Moreover, generating positive return on investment (RoI) and development of in-memory computing will boost the beneficial opportunities for the data fabric market growth.
However, the dearth of integration with legacy systems and lack of awareness about data fabric will impede the data fabric market growth. Also, lack of skilled workforce and disinclination towards investment in new technologies will challenge the growth of the data fabric market.
This data fabric market report provides details of new recent developments, trade regulations, import export analysis, production analysis, value chain optimization, market share, impact of domestic and localised market players, analyses opportunities in terms of emerging revenue pockets, changes in market regulations, strategic market growth analysis, market size, category market growths, application niches and dominance, product approvals, product launches, geographical expansions, technological innovations in the market. To gain more info on data fabric market contact Data Bridge Market Research for an Analyst Brief, our team will help you take an informed market decision to achieve market growth.
Global Data Fabric Market Scope and Market Size
The data fabric market is segmented on the basis of type, component, business application, deployment mode, organization size, and industry verticals. The growth amongst the different segments helps you in attaining the knowledge related to the different growth factors expected to be prevalent throughout the market and formulate different strategies to help identify core application areas and the difference in your target market.
- On the basis of type, the data fabric market is segmented into in-memory data fabric and disk-based data fabric.
- On the basis of component, the data fabric market is segmented into software and service. Service is further sub-segmented into managed services and professional services. Professional services are divided into consulting, integration, support and maintenance.
- On the basis of business application, the data fabric market is segmented into fraud detection and security management, customer experience management, governance, risk, and compliance management, sales and marketing management, business process management and others.
- On the basis of deployment mode, the data fabric market is segmented into on-premises and cloud.
- On the basis of organization size, the data fabric market is segmented into small and medium-sized enterprises (SMEs) and large enterprises.
- On the basis of industry verticals, the data fabric market is segmented into banking, financial services, and insurance (BFSI), telecommunications and IT, retail and ecommerce, healthcare and life sciences, manufacturing, government and others.
Data Fabric Market Country Level Analysis
The data fabric market is segmented on the basis of type, component, business application, deployment mode, organization size, and industry verticals.
The countries covered in the data fabric market report are U.S., Canada and Mexico in North America, Germany, France, U.K., Netherlands, Switzerland, Belgium, Russia, Italy, Spain, Turkey, Rest of Europe in Europe, China, Japan, India, South Korea, Singapore, Malaysia, Australia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific (APAC) in the Asia-Pacific (APAC), Saudi Arabia, U.A.E, Israel, Egypt, South Africa, Rest of Middle East and Africa (MEA) as a part of Middle East and Africa (MEA), Brazil, Argentina and Rest of South America as part of South America.
North America dominates the data fabric market and will continue to flourish its trend of dominance during the forecast period due to the presence of technologically advanced data fabric software companies, and increase in the number of launces of innovative new products in this region. Asia-Pacific will however, register the highest CAGR for this period due to the rapid advancement in emerging technologies and surge in the adoption rate of data fabric software in this region.
The country section of the data fabric market report also provides individual market impacting factors and changes in regulation in the market domestically that impacts the current and future trends of the market. Data points such as consumption volumes, production sites and volumes, import export analysis, price trend analysis, cost of raw materials, down-stream and upstream value chain analysis are some of the major pointers used to forecast the market scenario for individual countries. Also, presence and availability of global brands and their challenges faced due to large or scarce competition from local and domestic brands, impact of domestic tariffs and trade routes are considered while providing forecast analysis of the country data.
Competitive Landscape and Global Data Fabric Market Share Analysis
The data fabric market competitive landscape provides details by competitor. Details included are company overview, company financials, revenue generated, market potential, investment in research and development, new market initiatives, global presence, production sites and facilities, production capacities, company strengths and weaknesses, product launch, product width and breadth, application dominance. The above data points provided are only related to the companies’ focus related to data fabric market.
The major players covered in the data fabric market report are Informatica, Global IDs, IBM, Hewlett Packard Enterprise Development LP, Denodo Technologies, NetApp, Oracle, VMware, Inc, SAP SE, Splunk Inc., Talend, Precisely, Teradata, Trifacta, K2View and Software AG, among other domestic and global players. Market share data is available for global, North America, Europe, Asia-Pacific (APAC), Middle East and Africa (MEA) and South America separately. DBMR analysts understand competitive strengths and provide competitive analysis for each competitor separately.
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