Internet of Things Data To Top 1.6 Zettabytes by 2020

internet of things

The volume of data captured by the Internet of Things (IoT) will exceed 1.6 zettabytes by 2020, according to a recent forecast from ABI Research. That's a seven-fold increase from last year's 200 exabytes of data collected by IoT devices. Still, only a small portion of that data has been accessible for analytics.

"The data originating from connected products and processes follows a certain journey of magnitudes," explained Principal Analyst Aapo Markkanen in a press release. "The yearly volumes that are generated within endpoints are counted in yottabytes, but only a tiny fraction of this vast data mass is actually being captured for storage or further analysis. And of the captured volume, on average over 90 percent is stored or processed locally without a cloud element, even though this ratio can vary greatly by application segment. So far, the locally dealt data has typically been largely inaccessible for analytics, but that is now starting to change."

According to the report, "the IoT is currently undergoing a major paradigm shift from cloud computing toward edge computing. On one hand, this shift is opening up edge-based data to meaningful analysis, by distributing the analytic workloads across the network. On the other hand, it is also shoring up the cloud-level capabilities by making the transmitted data more actionable, by enriching and contextualizing the payloads."

"Edge computing is a huge challenge for the entire IoT value chain, as we can see from the way that cloud platforms, analytics vendors, and gateway suppliers are scrambling to collaborate with each other," noted Practice Director Dan Shey. "It is also a great opportunity for various software and hardware players that have been working towards this goal even far before the IoT as a concept became fashionable."

About the Author

Rhea Kelly is editor in chief for Campus Technology, THE Journal, and Spaces4Learning. She can be reached at [email protected].

Featured

  • digital brain integrating legal regulation and security interface

    Agentic AI Moves from Pilot Phase to Production, Bringing Governance to the Forefront

    New research from Caylent, an AI-focused Amazon Web Services Premier Tier Services Partner, found that enterprises are already moving agentic AI beyond pilots and into production environments. At the same time, organizations are putting strict conditions around autonomy, making governance and control the next major challenge for enterprise AI adoption.

  • Silhouettes of business professionals stand against a blurred futuristic city skyline at night, with a glowing digital network data connection

    It's Time for Higher Ed to Get Serious About AI Strategy

    Without a coordinated strategy that involves multiple academic and administrative units across the entire campus, colleges risk wasting resources, duplicating efforts, and ultimately failing to deliver on the promise of deploying technology to improve learning and operations.

  • cloud computing circuit board background

    Report: Cloud Crime on the Rise as Attackers Exploit Trust

    CrowdStrike's 2026 Threat Hunting Report traces a multiyear shift from conventional intrusions toward attacks that exploit trusted identities, cloud services, AI systems and software dependencies.

  • abstract converging light streams and particles

    Nvidia Releases Nemotron 3.5 Lightning Open AI Model

    Nvidia has introduced Nemotron 3.5 Lightning, a new open AI model designed less as an all-purpose answer engine than as a fast workhorse inside long-running AI agent systems.