The increasing demand for real-time automated decision-making solutions is a key factor driving the adoption of edge computing. With the rapid growth of IoT devices, a massive volume of data is being generated that requires immediate processing and analysis. By handling data locally on IoT devices or edge servers, edge computing ensures faster responses to real-time data. The rising need for these solutions, coupled with the capability of edge computing to address evolving industry demands, is expected to accelerate market growth.
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Real-time automated decision-making is crucial for optimizing production processes, monitoring equipment health, and ensuring operational efficiency in smart manufacturing environments. Edge computing supports these requirements by processing data locally on the manufacturing floor. The rise of autonomous systems, including autonomous vehicles, demands instantaneous decision-making based on real-time data from sensors and cameras. Edge computing allows these systems to make decisions locally, reducing dependency on centralized servers and minimizing latency.
The growth of edge computing hardware segment is driven by the increasing demand for decentralized processing capabilities closer to the source of data generation. Edge computing hardware includes IoT edge, on-premise edge, access edge, and network edge. As industries and applications continue to evolve, edge computing hardware plays a pivotal role in enabling real-time analytics, reducing latency, and supporting a variety of use cases. The deployment of 5G networks enhances the capabilities of edge computing by providing high-speed, low-latency connectivity. This synergy between 5G and edge computing drives the growth of hardware solutions that can harness the benefits of both technologies.
In North America, edge computing has gained significant traction and is being adopted across various industries due to its ability to bring computational capabilities closer to the data source. This region has seen widespread deployment of edge computing solutions to address diverse use cases, enhance operational efficiency, and support emerging technologies.
The healthcare industry in North America is adopting edge computing to support telemedicine, remote patient monitoring, and the processing of healthcare data at the point of care. Edge solutions enable faster response times, improve patient outcomes, and enhance the efficiency of healthcare delivery. The North American market is expected to record substantial growth during the projected timeframe.
Major players operating in the global Edge computing market are AWS, Cisco, Dell, Google, HP, IBM, Microsoft, Nokia, NVIDIA, and Siemens, among others. Major market players are adopting organic and inorganic strategies to expand their business. Some of the important developments in the recent past are mentioned below
- In May 2023, Dell Technologies (NYSE: DELL) introduced Dell NativeEdge, an edge operations software platform, designed to help businesses simplify and optimize secure edge deployments. Customers can streamline edge operations across thousands of devices and locations from the edge to core data centers and multiple clouds.
- In April 2023, IBM rolled out its first rack mount Z16 mainframe targeting both large data centers and remote locations and can be used for AI inferencing.
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