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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

For constant plant-floor process streams, a data historian is often a better fit than SQL Server or Oracle

For constant plant-floor process streams, a data historian is often a better fit than SQL Server or Oracle

Bill Schmidt of Renson House, in a recorded segment titled Data Historian, argues plant-floor process streams are better captured in a data historian than in Microsoft SQL Server or Oracle, since historians can store timestamps and changes rather than repeated readings and can make time-window reports feel faster. Precedence Research values industrial IoT at USD 602.87 billion in 2026, and vendor posts from CrateDB and Tiger Data describe where historians can fall short for broader analytics and why teams often want SQL access to that data.

  • 01Precedence Research values the industrial IoT market at USD 602.87 billion in 2026, growing 16.8% a year to 2035, so plant data streams keep getting larger.
  • 02In Schmidt’s example, historians can store a timestamped point when a value changes (skipping repeats), while logging every repeated reading in a relational table can increase storage and slow time-window reports.
  • 03Historians such as AVEVA PI handle capture; CrateDB argues cross-plant analytics often sits beside the historian, and Tiger Data notes teams want SQL/dashboards while generic relational tables can degrade as they grow.

Sep 30, 2026

CED: Specify holding brakes where gravity can move a servo axis

CED: Specify holding brakes where gravity can move a servo axis

CED's Nicholas Rodacz uses two de-energized servo motors, one shaft spinning free and one locked, to explain the spring-set holding brake. The brake clamps whenever voltage is absent and belongs on cranes, elevators, gantries, robot joints and any axis holding stored energy. It holds only at standstill, carries a torque rating, and cannot be replaced without disassembling the motor.

  • 01A holding brake is spring-set and power-to-release: it clamps the motor shaft when voltage is absent, so a power loss prevents shaft rotation.
  • 02The test is stored energy, not orientation: cranes, elevators, gantries, robotic arm joints and any spring-tensioned axis that would move if the motor lost torque all qualify.
  • 03The brake holds a stopped axis only, carries its own torque rating that must cover the load, and is not field replaceable, so the decision belongs in the motor spec, not the maintenance budget.

Sep 30, 2026

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Mapbox says Traffic 2.0 gives accurate ETAs on 98% of trips. For logistics and field teams, the value is fresh road and place data AI agents can act on.

  • 01Traffic 2.0 claims accurate ETAs on 98% of trips, a vendor figure fleet teams can benchmark against ETA accuracy on their own lanes.
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