How big is 175ZB? One zettabyte is equivalent to a trillion gigabytes Sometimes it can be If you were able to store the entire Global Datasphere on difficult to get our minds DVDs, then you would have a stack of DVDs that could around such a large number. get you to the moon 23 times or circle Earth 222 times. Here are some illustrations of If you could download the entire 2025 Global Datasphere just how large 175ZB is. at an average of 25 Mb/s, today's average connection speed across the United States, then it would take one person 1.8 billion years to do it, or if every person in the world could help and never rest, then you could get it done in 81 days. The Core is the Heart of the Datasphere In this study we isolated three primary data location categories that make up the Datasphere: 1. Core This consists of designated computing datacenters in the enterprise and cloud providers. It includes all varieties of cloud computing, including public, private, and hybrid cloud. It also includes enterprise operational datacenters, such as those running the electric grid and telephone networks. 2.Edge Edge refers to enterprise-hardened servers and appliances that are not in core datacenters. This includes server rooms, servers in the field, cell towers, and smaller datacenters located regionally and remotely for faster response times. 3.Endpoint Endpoints include all devices on the edge of the network, including PCs, phones, industrial sensors, connected cars, and wearables. A key aspect characterizing the Datasphere today is the increasingly critical role of the endpoints and edge – which is where all the digital data about us or for us is delivered to us to help inform real-time decisions, personalized services, or other latency-sensitive actions. Data gathered from endpoints is collected at the edge, which is an important location for delivering the intelligence and analytics necessary to provide faster response and better end-user experience, as well as to accelerate and bring new levels of efficiency and quality to business. Use cases at the edge and core that illustrate their criticality are growing aggressively, with entire categories yet to have even crossed our minds. One increasingly critical engagement between edge and endpoint is the connected car. Driven largely by the video captured and analyzed by numerous cameras integrated into the vehicle, IDC estimates that an autonomous vehicle can create over 3TB of data per hour, and this doesn't include infotainment and GPS data. This data creation will continue to increase as vehicle-to-vehicle communication becomes commonplace, and as machine learning and AI continuously update pattern recognition integrated into vehicles’ intelligent driving algorithms. IDC White Paper I Doc# US44413318 I November 2018 The Digitization of the World – From Edge to Core I 7