Predict & Optimize solutions turn live sensor data into fewer failures and lower operating cost: maintenance that happens before the breakdown, energy and water that stop leaking money, and processes, fleets and spaces tuned to actual demand. This page analyzes 2,454 solutions across seven sub-use-cases: what they do, which industries deploy them, how they're built, and how to choose one.

AI cameras and cashless payments feed cloud sales data so operators plan refills remotely.

Guide compatible vehicles through indoor valet parking.

Find vacant parking spaces and guide drivers.
Sensors, gateways and spare units
Site survey, mounting, commissioning and configuration
Platform subscription, connectivity, data and support
This is an estimate by IoT Apps based on comparable deployments, not a quote from a vendor.
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RetailNext IoT traffic analytics gave the 86-store retailer a trusted baseline for shopper yield, conversion, and staffing decisions.

Submetering, HVAC and lighting controls delivered a sub-20-month payback for VF Corporation's outlet fleet.



Predict & Optimize solutions share a common shape: instrument the asset or process, stream condition and usage data to an analytics layer, learn what normal looks like, then act on deviations and inefficiencies: as maintenance work orders, setpoint changes, route plans or right-sizing decisions. The 2,139 solutions here differ mainly in what they optimize and how deeply they integrate with the systems that execute the change.
Public SaaS is the default delivery model (1,841 listings, 86% of those with deployment data), yet 1,135 listings (53%) also run Edge/Local and 499 (23%) offer On-Premises: far more than a pure dashboard product would need. The pattern is structural: predictive models often score high-frequency vibration, power and process data next to the machine, and send only results upstream.
The 2,139 solutions in this family come from 789 distinct vendors: about 2.7 listings each: and the largest single portfolio (Emerson Plantweb Insight) holds just 14 listings. Buyers should expect a fragmented, specialist-led market: shortlists are built per sub-use-case and industry rather than from one suite, and only 2 vendors in the family currently carry enterprise verification.
Predict & Optimize IoT turns streams of field data into forecasts and recommendations that cut waste, downtime and cost. This hub tracks 2742 solutions from 1022 vendors, led by process optimization (1066 listings), predictive maintenance (809) and energy optimization (523).
Industrial & Manufacturing leads (27% of solutions), followed by Transportation & Logistics (25%) and Energy & Utilities (25%).
Cellular and Short-Range Wireless lead among the 914 solutions with connectivity on file; LoRaWAN is the single most common technology.
1322 of 2742 solutions are available worldwide; country-specific availability concentrates in United States, United Kingdom, Canada.
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