Market Research Future (MRFR) announces the publication of its half-cooked research report—Global Dark Fiber Market, 2020–2026.
According to Market Research Future, the global Dark Fiber Market has been segmented based on fiber type, network type, application, and region/country.
Dark fiber are unlit or in other words unused optical fiber cables laid underground creating a pre-existing network infrastructure to cater to the ever rising connectivity needs. Initially, the laying down of fiber undergroud by physically digging the area cost much than that of the optical fiber in actual. To overcome this cost, undersatnding to the forecast, and the expanding need for connectivity, companies invested more on laying extra fiber than the actual need. This surplus infrastructure created business opportunities by leasing the unused fiber to the end-use industry verticals for their networking needs. Dark fiber offers various advantages to the IT & telecom industry. These advantages include scalability & flexibility for increasing bandwidth needs, full control over the infrastructure, lower latency, enhanced security, reliable network, and minimized cost.
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The key players in the global dark fiber market are GTT Communications, Inc. (US), UFINET (Guatemala), Vikram Group (India), DEPL (India), Landmark Dividend LLC. (US), Unite Private Networks (US), Sterlite Power (India), Colt Technology Services Group Limited (UK), Consolidated Communications (US), Crown Castle (US), NexGen Networks (US), Sorrento Networks (US), FirstLight (US), Microscan (India), and Windstream Intellectual Property Services, LLC. (US)s.
By fiber type, the global dark fiber market has been divided into single mode and multi-mode. Single mode fiber optics are designed for connectivity at long distances, for instance, metro, access, and long-haul network applications. Single mode fibers have small core size (usually less than 10 µm) which allows transmission of signals in the form of light only through one mode. On the other hand, multi-mode fibers are larger cores than that of the single mode, that transmit signals simultaneously and offering easy to install multimode connectors at installation sites.
By network type, the global dark fiber market has been divided into metro and long-haul. Metro dark fiber allows development of network infrastructure in a cost-effective way, connecting mobile sites and delivering high-speed internet needs applicable in smart city projects, public welfare services, government agencies, traffic management systems, among others.
Depending on its applications, the dark fiber market is split into BFSI, IT & telecom, oil & gas, military & aerospace, healthcare, government, and others. For instance, Provident Bank, based in New Jersey, US worked closely with Crown Castle to design and develop a network solution for upgradation & consolidation of networking services across 34 branches. Crown Castle provided high-speed ethernet connectivity at all branches with advanced security and network redundancy to run their server seamless while maximizing uptime.
The global dark fiber market has been analyzed for five regions—North America, Europe, Asia-Pacific, the Middle East & Africa, and South America.
By region, the global dark fiber market has been segmented into North America, Europe, Asia-Pacific, the Middle East & Africa, and South America. North America is expected to be the dominating region in terms of the adoption of dark fiber owing to the heavy investments. North American market has been segmented into the US, Canada, and Mexico. The US is expected to lead the country-level market, while Canada is projected to be the fastest-growing segment during the forecast period. The US market is expected to report the highest market share, owing to the leading market position among telecom and BFSI application.
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Table of Contents:
1 Executive Summary
2 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
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