Transparent Caching Market Scenario:
The COVID-19 pandemic disruption is estimated to transform the Transparent Caching Market in the years to come drastically, and its after-effects will be persistently seen in the years ahead. The MRFR report on the Transparent Caching Market meticulously tracks the COVID-19 pandemic effect for the years ahead. Moreover, the precise analysis of drivers and restraints in a post-COVID-19 market offers a coherent understanding of future growth cues.
The transparent caching market 2020 can reach a valuation of USD 5.1 Bn by 2027-end, reveals Market Research Future (MRFR). The market is set to advance at an attractive rate of 34% during the forecast period (2020 to 2027).
Transparent caching offers the service providers the ability to control a huge number of content requests from end users. The technology enables the service providers to gain better control over learning the type of cached memory and the time it takes to be delivered to the end users. Transparent cache helps evaluate the most popular content on the network as well as stores whenever requested. The technology does not require any subscribers, business logic by content providers or content delivery networks (CDNs). Transparent caching also enhances the performance of the subscribers, while significantly reducing the network bandwidth consumption across the network. The combination of these factors are boosting the demand for transparent caching across the globe.
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The top companies operating in the market for transparent caching are Ericsson AB (Sweden), Qwilt (U.S.), Symantec Corporation (U.S.), Brocade Communications System, Inc. (U.S.), Nokia Corporation (Finland), SuperLumin Networks LLC (U.S.), Kollective Technology, Inc. (U.S.), Cisco Systems, Inc. (U.S.), Fortinet, Inc. (U.S.), Akamai Technologies Inc. (U.S.), Ara Networks (South Korea), Google Inc.(U.S.), and others.
- The transparent caching market has been segmented with respect to type, component, solution and end-users.
- The types of transparent caching are transparent video caching and transparent non-video caching.
- The components covered in the report are hardware, software, and services. The hardware types are converged server and switches. The services segment can be dissected into professional and managed services.
- The solution-dependent segments include media delivery, web performance optimization and cloud security.
- The various end-users that deploy transparent caching are internet service providers, telecom operators, DTH providers, government organizations, and others. Currently, almost all the prominent telecom service providers, mobile operators and MSO (multiple system operator) are planning to use some type of open caching technology, which is considered to be a necessary element in the network to curb the consumption rate of OTT video content and also deliver an enhanced end-to-end user experience.
The current trends along with the opportunities in the transparent caching market have been studied in the regions of North America, Europe, Asia Pacific (APAC) and the rest of the world (RoW).
North America is expected to clinch the top rank in the global market during the appraisal period, on account of the large pool of companies that are well-known at a global level. Also, the mounting need for better bandwidth among enterprises and the surging demand for quality of experience (QoE) among end-users can stimulate the market growth in the coming years.
APAC can soon note the highest growth rate, thanks to the surging awareness about transparent caching in developing nations like India and China. Moreover, the increasing requirement to reduce infrastructure costs and the soaring demand to bring down infrastructure costs can uplift the demand for the transparent caching market in the region.
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Table of Contents:
1 Executive Summary
2 The Scope Of The Report
2.1 Market Definition
2.2 Scope Of The Study
2.2.1 Research Objectives
2.2.2 Assumptions & Limitations
2.3 Markets Structure
3 Market Research Methodology
3.1 Research Process
3.2 Secondary Research
3.3 Primary Research
3.4 Forecast Model
4 Market Landscape
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