Cloud Infrastructure Market Projection by 2025 | In-depth analysis is conducted by constructing market estimations for the key market segments
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Increase in trend of big data and analytics, rise in ICT spending, demand from numerous organizations for cost-effective and scalable computing, and growth in number of digital services. Concern over data privacy and security and decline in demand for server hardware due to virtualization of servers are the key restraints of the cloud infrastructure market. The opportunities for cloud infrastructure is the growth of analytics market and its adoption in small and medium enterprises.
The report segments the cloud infrastructure market on the basis of type, end users, industry verticals, and geography. According to the type, the market is bifurcated into hardware (server, storage, switches and others) and services (PaaS, IaaS, managed hosting and others). On the basis of end user, it is categorized into small and medium enterprises (SMEs) and large enterprises.
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Based on the industry vertical, it is classified into banking, financial services, and insurance (BFSI), healthcare, public sector, retail, media and entertainment, IT and telecom, energy and utilities, education and research, manufacturing and others. Based on geography, the market is studied across North America, Europe, Asia-Pacific, and LAMEA.
Comprehensive competitive analysis and profiles of major market players such as IBM Corporation, AT&T, Inc., Oracle Corporation, Quanta Computer Inc., Alphabet Inc., Intel Corporation, Dell Inc., Cisco Systems, Inc., Lenovo Group Limited, and Amazon Web Service, Inc. are also provided in this report.
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We are in professional corporate relations with various companies and this helps us in digging out market data that helps us generate accurate research data tables and confirms utmost accuracy in our market forecasting. Each and every data presented in the reports published by us is extracted through primary interviews with top officials from leading companies of domain concerned. Our secondary data procurement methodology includes deep online and offline research and discussion with knowledgeable professionals and analysts in the industry.
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