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全球传真服务市场展望预测(2022-2027年)
Fax services involve the transfer of documents among clients, customers, enterprise
offices, and other related parties through the internet. Based on service type, the fax
services market is segmented into three types: FOIP services, cloud-based fax
services, and hybrid fax solutions. Customers can also automate their faxing process
by integrating their existing back-office applications. End-users have the option to
use their existing fax numbers or buy a new fax number (local and toll-free) from
service providers. For on-premises fax infrastructure, end-users can install fax
software on their desktop systems or the centralized server. Also, end-users can
operate through the service provider’s secured online portal for cloud and hybrid fax
solutions. They can send or receive faxes through the internet through their personal
computers (PCs) or mobile devices. Vendors offer a variety of subscription plans. For
the on-premises deployment model, vendors offer software packages on the yearly
licensing model. Customers can opt for monthly or annual subscription plans for
cloud-based faxing, depending on their faxing requirements. Plans are also offered
based on the end-user segment, which ranges from individual end-users to large
enterprise customers.
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全球数据中心托管展望预测市场报告(2021-2026年)
Data centers are the backbone of online business operations and consumers. The growth in data centers is aided by the increased usage of the internet for personal and business purposes by consumers through smartphones and high-speed broadband connectivity.
Due to COVID-19, there was a boost in data generation across the world, as various governments launched digital initiatives, and enterprises and individuals shifted to cloud and other online platforms. People started working from home, and there was increased interest seen in online trading and e-commerce. The amount of data generated was very high during the COVID-19 pandemic.
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全球智能农业市场分析与预测(2020-2026年)
Smart farming is a concept in agriculture that involves data collection, data analysis, and data-driven decision
making to increase yield, monitor crops and animals, and improve overall efficiency in all possible agricultural
operations. Smart farming method or concept employs various technologies that become the means of
operation. For example, to collect data, smart farming depends on the internet of things (IoT) and other sensorbased
technologies, which allow seamless data collection. For data analysis, various farm management
software and artificial intelligence (AI) based tools can be used to make sense of the collected data, and later
autonomous machines and other mechanical equipment can be utilized to take necessary actions; for
example, drones can be used to spread inputs such as pesticides and fertilizers.