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Serverless computing solutions process and analyze large volumes of data at the edge of customer networks and help meet infrastructure requirements of Internet of Things networks. Serverless computing saves hardware and maintenance costs for customer enterprises and reduces latency. Larger businesses can limit or shrink the size of their server fle...

Edge computing pushes intelligence, data processing, analytics, and communication capabilities to where the data originates: at network gateways or endpoints. The aim is to reduce latency and ensure efficient networks, operations, service delivery, and an improved user experience. By bringing computing closer to the data source, edge computing enab...

Edge computing pushes intelligence, data processing, analytics, and communication capabilities to where the data originates: at network gateways or endpoints. The aim is to reduce latency and ensure efficient networks, operations, service delivery, and an improved user experience. By bringing computing closer to the data source, edge computing enab...

As we enter the next era of digitization, we are amidst a silent revolution that will change the location from where we process data as well as the speed in which we do that—the reasons being Edge Computing and 5G. The term edge refers to the edge of a network, i.e., close to the data/information source and edge computing means processing data clos...

This Frost & Sullivan study focuses on the growth opportunities for edge computing solutions in supply chain and logistics. Edge computing is a distributed computing architecture that makes data computation happen closer to the data source. Edge computing aids supply chain efficiency as it frees up resources, lessens reliance on human management, s...

Private multi-access edge computing (MEC) involves deploying dedicated computing and networking resources on a client's premises. It prioritizes ultra-low latency, data security, and customization, making it ideal for industrial automation, smart factories, and applications demanding real-time control and stringent data privacy. This segment of the...

Edge computing pushes intelligence, data processing, analytics, and communication capabilities to where the data originates: at network gateways or endpoints. The aim is to reduce latency and ensure efficient networks, operations, and service delivery, and an improved user experience. By bringing computing closer to the data source, edge computing ...

Multi-Access Edge Computing (MEC) solutions are gaining traction globally for their ability to deliver ultra-low latency, high bandwidth, real-time data processing, and data analytics, which are key to supporting latency-sensitive applications. Businesses today demand 5G MEC to improve productivity, innovate new offerings, and accelerate digital tr...

05 Sep 2019  |  Global  |  Market Research

Digital Transformation of the Global Medtech Industry, Forecast to 2024

Growth Opportunities to Boost Revenue in this Slowing Industry by an Additional $240 Billion by 2024

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Key Issues Addressed

The medtech industry’s revenue growth is expected to gradually dip beyond 2020, from a year-on-year growth of about 5.7Percentage in 2020 to 5.3Percentage in 2024. The industry is already addressing this as well as several other challenges such as the changing device ecosystem, shifting competitive focus, and the invasion by technology companies. M...