Skip to content
MarketScale
‹ Back to IndustriesIndustrial IoT

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…

This story was produced through MarketScale. See how Industrial IoT teams put it to work with AI Visibility (GEO).

By Industrial Iot ·
Share
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…

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. 

About the author

II
Industrial Iot

Industrial IoT: are you visible to AI?

Before they reach out, Industrial IoT buyers ask AI engines which vendors to trust. See how AI describes your company today, and where competitors show up instead.

Free workspace

You just read one expert. Imagine publishing your whole team.

This article was produced through MarketScale. Create a free workspace and turn your own team's expertise into articles, video, and social posts. No credit card, no demo required.

NPS +73 · 1,000+ creators · 38+ countries

What you get, free

Your own MarketScale Studio workspace
One video edit a month, on us
AI writing, editing, and publishing tools
In-platform coaching to learn the system

More Industrial IoT Insights

Analog Devices maps the semiconductor case for physical intelligence in industrial automation

Analog Devices maps the semiconductor case for physical intelligence in industrial automation

ADI's Fiona Treacy explains the impact of AI-driven physical intelligence and humanoid robotics on factory systems and semiconductor demand. Analog Devices is at the forefront of integrating these technologies into industrial automation. Such advancements are transforming the industrial sector by enhancing efficiency and precision.

  • 01AI-driven physical intelligence is revolutionizing factory systems and semiconductor demand.
  • 02Humanoid robotics are being integrated into industrial automation processes.
  • 03Analog Devices plays a key role in incorporating these technological advancements.

Jul 19, 2026

Robotics in manufacturing: five shifts defining factory floors in mid-2026

Robotics in manufacturing: five shifts defining factory floors in mid-2026

Despite advancements, 80% of U.S. factories operate without automation, highlighting the potential impact of robotics on future manufacturing processes. Physical AI, collaborative robots (cobots), and changes in vendor structures are set to redefine how operations teams function in factories. These shifts are expected to transform efficiency, flexibility, and competitiveness in manufacturing.

  • 0180% of U.S. factories do not use automation.
  • 02Physical AI and new cobots are revolutionizing factory operations.
  • 03Vendor restructuring affects operational strategies in manufacturing.

Jul 19, 2026

IMA Group positions "Cognitive Manufacturing" as the next operating model for industrial production

IMA Group positions "Cognitive Manufacturing" as the next operating model for industrial production

IMA Group's Cognitive Manufacturing framework, showcased at Interpack 2026, integrates cloud AI, edge AI, and robotics to enhance industrial production efficiency. The initiative aims to reduce downtime and improve operational performance for manufacturers. This advanced model emphasizes the synergy between artificial intelligence and industrial processes.

  • 01Cognitive Manufacturing combines cloud AI, edge AI, and robotics to reduce production downtime.
  • 02IMA Group debuted its advanced manufacturing framework at Interpack 2026.
  • 03The framework aims to enhance efficiency and operational performance in industrial production.

Jul 19, 2026

Explore More Industrial IoT Insights

Read more expert perspectives from across Industrial IoT.

Browse Industrial IoT Hub

About the Expert

II
Industrial Iot

For B2B teams

Your experts could be publishing here

Stories like this one run on content MarketScale captures from real practitioners. See how your team's expertise becomes coverage in Industrial IoT and beyond.

Book a 15-minute demo

Or call us. No forms required. We pick up. 214-945-2512