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IIoT Potential and the Power of Data

The global Industrial Internet of Things (IIoT) market is growing exponentially, reaching across all industries and all sectors.  Meanwhile, edge computing is exhibiting synchronicity with companies implementing IIoT systems.  From a tradition emphasizing automation equipment,  operational technology teams are now increasingly turning attention away from their tools themselves to take a closer look at the data generated…

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By Industrial Iot ·
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IIoT Potential and the Power of Data

Key takeaways

01

The global Industrial Internet of Things (IIoT) market is growing exponentially, reaching across all industries and all sectors.

02

Meanwhile, edge computing is exhibiting synchronicity with companies implementing IIoT systems.

03

From a tradition emphasizing automation equipment,  operational technology teams are now increasingly turning attention away from their tools themselves to take a closer look at the data generated…

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The global Industrial Internet of Things (IIoT) market is growing exponentially, reaching across all industries and all sectors. 

Meanwhile, edge computing is exhibiting synchronicity with companies implementing IIoT systems. From a tradition emphasizing automation equipment, operational technology teams are now increasingly turning attention away from their tools themselves to take a closer look at the data generated by their systems. This shift in data emphasis is due in part to the explosive growth of data and a growing realization of its value. 

Along with increased usage of data, importance of data is also rising. A valuable asset for IIoT efforts, data must be protected if industrial companies hope to be successful with analytics. Among other concerns, this means that companies must find ways to ensure a reliable infrastructure and secure connectivity. 

This is where where edge computing can help. Enterprises should consider merging their IIoT applications and software with comprehensive predictive modeling capabilities. By managing large amounts of data, edge computing can simplify solutions, reduce costs and relieve the burden on IT teams. 

With the future of IIoT looking bright, edge computing multiplies the possibilities for its use in enterprises. 

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More Industrial IoT Insights

Toyota estimates up to 1 trillion yen a year for factory automation from 2028

Toyota estimates up to 1 trillion yen a year for factory automation from 2028

Toyota told investors factory automation could cost about 1 trillion yen ($6.4 billion) a year from 2028 across Toyota, group companies and major suppliers, CNBC reported. Toyota also said it could take roughly 400,000 robots. The company has not committed to the spending or said how long it would run, CNBC reported.

  • 011 trillion yen ($6.4 billion) per year estimated spending on factory automation starting 2028
  • 02About 400,000 robots needed across Toyota, group companies and major suppliers including replacements and new installations
  • 03Automation scope covers industrial robots, automated material handling, and future human-robot collaboration on factory floors

Sep 23, 2026

Flexxbotics claims 125% capacity gains by turning factory data into governed actions

Flexxbotics claims 125% capacity gains by turning factory data into governed actions

Flexxbotics says its platform turns production signals into authorized actions. It cited a 125% capacity increase at PMI and an 89% downtime reduction at EIS. For multi-site operators, the question is which actions can run autonomously and which require human approval.

  • 01The most concrete benchmark in Flexxbotics’ IMTS release is outcome-based: PMI’s reported 125% capacity increase and EIS’s 89% downtime reduction set a high bar for any closed-loop automation business case (Design News).
  • 02Flexxbotics is selling governance as much as analytics: teams predefine where the platform may act, which responses are authorized, and when human-in-the-loop approval is required (WhatTheyThink).
  • 03Protocol-level connectivity is central to deployment scope, with “Transformers” described as supporting bi-directional communication across more than 1,000 makes and models, a practical proxy for how much brownfield equipment can be brought into a closed loop without rip-and-replace (WhatTheyThink).

Sep 23, 2026

In-machine CNC fire suppression: Stat-X vs Firetrace

In-machine CNC fire suppression: Stat-X vs Firetrace

Modern Machine Shop describes Fireaway’s Stat-X as an electrically actuated, potassium-based aerosol generator mounted inside a CNC enclosure and triggered by a separate electronic sensor. A 2025 trade article describes the same two detection approaches—electronic point detection and heat-sensitive tubing—while widening the spec to include mist extraction, fire dampers and pressure relief. For shops running oil coolant, Schwarzenbach writes that many corporate insurance policies mandate installed and regularly maintained suppression.

  • 01A system designed to extinguish a fire inside the machine costs a small percentage of a CNC’s price, per Modern Machine Shop, so the comparison is against major fire damage or rebuilding—not the option’s sticker price.
  • 02Detection inside a machine tool comes down to two methods, heat-rupturing pressurized tubing or electronic heat and flame sensors, and Modern Machine Shop described a version of each in its 2009 and 2011 articles; what 2025 guidance adds is mist extraction, fire dampers and pressure-relief flaps in the same specification.
  • 03For shops running CNC machines on oil coolant, many corporate insurers require suppression to be installed and maintained, which turns a purchasing option into a policy condition and a maintenance audit item.

Sep 18, 2026

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