Fabric-Based Computing Market Scope
Fabric computing or unified computing involves making a computing fabric consisting of interconnected nodes which looks like a "weave" or a "fabric" when viewed collectively from some distance. It additionally refers to a consolidated superior high-performance consisting of loosely coupled storage, networking and multiprocessing functions coupled by high bandwidth interconnects however the term has additionally been used to describe platforms like the Azure Services Platform and grid computing normally. Terms used to describe such fabrics are "unified fabric", "unified data center fabric" & "data center fabric". Fabric based computing is an approach, which permits enterprises to ascertain the network as pools of processors, I/O connections, memory, adapters, storage & network connections. All these parts are procured individually, integrated on the fly and are managed by a Fabric Resource Pool Manager.
The Fabric-Based Computing market study is segmented, by Application (BFSI, Retail & E-commerce, Manufacturing, Government & Defense, Energy & Utilities, IT and Telecom, Education & Entertainment, Healthcare and Others) and major geographies with country level break-up.
The global market is highly competitive and consists of a limited number of providers who compete with each other. The intense competition and changing of consumer spending patterns and need pose significant opportunities for market growth. Research Analyst at AMA estimates that United States Players will contribute to the maximum growth of Global Fabric-Based Computing market throughout the predicted period.
Avaya (United States), Cisco (United States), Egenera (United States), HPE (United States), IBM (United States), Liquid Computing Corporation (Canada), TIBCO (United States) and Unisys (United States) are some of the key players that are part of study coverage. Additionally, the Players which are also part of the research are Xsigo Systems (United States).
The research aims to propose a patent-based approach in searching for potential technology partners as a supporting tool for enabling open innovation. The study also proposes a systematic searching process of technology partners as a
preliminary step to select the emerging and key players that are involved in implementing market estimations. While patent analysis is employed to overcome the aforementioned data- and process-related limitations, as expenses occurred in that technology allows us to estimate the market size by evolving segments as target market from total available market.
AMA Research has segmented the market of Global Fabric-Based Computing market by Type, Application and Region.
On the basis of geography, the market of Fabric-Based Computing has been segmented into South America (Brazil, Argentina, Rest of South America), Asia Pacific (China, Japan, India, South Korea, Taiwan, Australia, Rest of Asia-Pacific), Europe (Germany, France, Italy, United Kingdom, Netherlands, Rest of Europe), MEA (Middle East, Africa), North America (United States, Canada, Mexico).
- Increasing Automation
- Increased Capacity Utilization
- Increase in the Adoption of New Technologies by Various Organizations (Virtual Machines)
- Cost of Switching to new technology
- Incompatibility of Traditional ROI
- Customization Limit
- Vendor Lock-in
Key Target AudienceRaw material suppliers, Distributors/traders/wholesalers/suppliers, Regulatory bodies, including government agencies and NGO, Commercial research & development (R&D) institutions, Importers and exporters, Government organizations, research organizations, and consulting firms, Trade associations and industry bodies and End-use industries
Frequently Asked Questions (FAQ):
1. Is it possible to have certain customization in the study?
The Study can be customized to meet your requirements. Please connect with our representative, who will ensure you get a study that suits your business objectives.
2. How big is the Fabric-Based Computing Market?
Yes, the study does represent market size by key business segment, application/end users and major geographies forecasted till 2026.