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Build vs Buy — Industrial IoT Platforms
Weigh SaaS subscriptions against a custom build for Industrial IoT Platforms — see the multi-year total cost of ownership and which path wins.
What this means for Industrial IoT Platforms
- Legacy PLC and SCADA integration is the platform's largest hidden cost — every plant has a different mix of Rockwell, Siemens, Mitsubishi, Honeywell, and Yokogawa equipment with different protocols (Modbus, Profinet, Ethernet/IP, OPC UA), and the connector work is never done.
- The OT/IT divide is real and political — plant operations teams own the equipment and don't trust IT-led cloud platforms, IT teams own the cloud and don't trust unsigned firmware on the floor, and the platform sits in the middle with neither team as a willing sponsor.
- Industrial IoT has a credibility problem from the GE Predix era — every CIO who lived through a $50M Predix or Siemens MindSphere program that never produced operating value is suspicious of the next platform's promises, and the burden of proof is high.
Where it pays to act
- Edge ML for predictive maintenance — gradient-boosted, time-series, and lightweight neural models that run on edge gateways and flag failures 48-72 hours in advance without requiring constant cloud connectivity.
- Computer vision for in-line quality inspection — defect detection, dimension verification, and assembly verification models that absorb the highest-defect SKUs and reduce final-inspection scrap.
Adjust the inputs to match your Industrial IoT Platforms context.
Total cost of ownership
SaaS total (3yr)
₹19.9 L
Custom build total
₹21.8 L
Difference (cheaper to buy)
₹1.89 L
Breakeven
—
What this means
A hybrid path fits best.
For Industrial IoT Platforms, the gap is ₹1.89 L over 3 years — close enough that a hybrid approach (buy core, build differentiating layers) often wins.
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Build vs buy — summary
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