2020 forced industrial operations to answer a question almost overnight: how do you keep a factory running when fewer people can safely be inside it? Lockdowns, shift restrictions, and social distancing norms meant plant floors couldn’t operate the way they always had – yet production couldn’t simply stop.
The technology that stepped in to bridge this gap was already familiar to engineers: the Industrial Internet of Things (IIoT). What changed was its role, shifting almost overnight from “efficiency enhancer” to “operational lifeline.” As McKinsey documented, companies that deployed IIoT on existing “brownfield” equipment during this period saw concrete operational gains: Texas-based petrochemical company Texmark cut its planned maintenance costs by 50 percent using sensored devices and advanced analytics, while Procter & Gamble’s century-old Rakona plant in the Czech Republic used in-process quality-control sensors to cut reworking and complaints by 50 percent and reduce throughput time by 24 hours. Remote monitoring, in particular, became one of the most immediately useful applications of that broader IIoT push.
The scale of this shift wasn’t marginal, either. A McKinsey Global Survey of nearly 900 executives, conducted in the summer of 2020, found that companies had accelerated the digitization of their supply-chain and internal operations by three to four years compared to their pre-crisis pace – and had done so 20 to 25 times faster than they had expected going in.
Why Remote Monitoring Became a Business Priority in 2020–21
Reduced On-Site Workforce, Same Operational Demands
McKinsey’s post-COVID manufacturing research described how supervisors could monitor factory performance remotely and in real time, stepping in with interventions and adjusting daily production plans without needing to be physically present on the floor. For plants running with skeleton crews under health protocols, this wasn’t a convenience – it was what kept lines moving at all. In the same research, 93 percent of manufacturing and supply-chain professionals surveyed said they planned to prioritize supply-chain resilience going forward, and 90 percent planned to invest in talent for digitization.
Business Continuity Under Access Restrictions
When public health measures limited who could physically enter a facility, industrial IoT gave companies a way to monitor – and in some cases control – equipment remotely, without a technician standing next to the machine. McKinsey’s six-myths research also pointed to a global electronics manufacturer that installed sensors across its production lines to build a remote performance dashboard spanning all its facilities, raising productivity by more than 10 percent in the first year alone.
Liquidity and Cost Pressure
Beyond keeping machines running, remote monitoring data helped organizations manage tighter budgets too. In one case McKinsey documented, a global industrial-machine manufacturer used IIoT-based forecasting to improve demand modeling for spare parts, raising parts availability to more than 90 percent while cutting inventory by more than 30 percent – a priority for nearly every industrial business navigating 2020’s economic uncertainty.
Industry Voices on the Shift
Coverage in IoT World Today reportedly included commentary from Bill Scudder of AspenTech’s AIoT Solutions group, on how workforce shortages tied to COVID concerns pushed manufacturers toward remote access, remote management, and automation as offsets.
Separately, Manufacturing Digital’s coverage of the same period highlighted that industrial IoT-enabled inventory tracking – such as monitoring container-fill levels – could help companies reduce inventory and free up liquidity at a time when cash preservation was a top concern for nearly every industrial business.
What an Industrial Remote Monitoring System Looks Like
A working remote monitoring setup typically brings together four layers.
1. Sensing and data acquisition. Sensors – for temperature, vibration, current, pressure, or flow – are fitted to the equipment being monitored, capturing real-world operating conditions continuously.
2. Embedded edge hardware. A microcontroller or edge-compute unit reads incoming sensor data, performs local filtering or pre-processing, and packages it for transmission, often while carefully managing power consumption if the device is battery-operated.
3. Connectivity. Depending on the site’s infrastructure, this layer might use Wi-Fi, cellular (GSM/LTE), LoRaWAN, or wired Ethernet — the choice driven by range, bandwidth needs, and how remote the facility is.
4. Cloud dashboard and alerting. Data ultimately lands in a cloud platform for visualization, historical logging, and threshold-based alerts, delivered via SMS, email, or a mobile app, so the right person is notified the moment something needs attention.
Positioning: Where Iquester Fits Into This Shift
Building a system across all four layers requires a blend of disciplines that rarely sit in one place – embedded firmware engineers, PCB designers, RF/connectivity specialists, and cloud developers all need to be coordinated closely.
Iquester brings this combination together under one roof. From designing the sensor-interfacing circuit and laying out a compact PCB, to writing the embedded firmware managing data acquisition and low-power behavior, to configuring the connectivity layer and a cloud dashboard for real-time visibility, the entire monitoring stack can be developed as a single, coordinated engineering effort.
This matters especially for manufacturers looking to retrofit existing (brownfield) equipment rather than replace it outright. A tailored monitoring solution can be built around the exact constraints of legacy machinery, instead of forcing a generic IoT module onto it.
The Road Ahead
The restrictions of 2020–21 turned remote monitoring into an operational necessity almost overnight, and the results already on record suggest how lasting that shift is likely to be. McKinsey and the World Economic Forum’s Global Lighthouse Network – factories recognized for successfully scaling Industry 4.0 technologies – has documented output increases of 10 to 200 percent, product-cost reductions of 5 to 40 percent, and time-to-market improvements of 30 to 90 percent among participating plants. What began as a pandemic response has held up as a lasting shift in how industrial operations are run.
Looking to bring remote visibility to your equipment without a full infrastructure overhaul? Iquester can help you design and deploy a focused IoT monitoring pilot – from sensor to dashboard – tailored to your existing setup. Get in touch to discuss your use case.
