Predict & Optimize IoT solutions

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.

2,454Solutions
993Vendors
513Business cases
50%Available worldwide

Types of Predict & Optimize

Where Predict & Optimize is used

Featured Predict & Optimize solutions

See all 2,454 solutions
Smart Cooler
Smart Coolerby Televend (Intis)Retail & Hospitality · Control & Automate

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

V2I Autonomous Indoor Valet Parking Infrastructure
V2I Autonomous Indoor Valet Parking Infrastructureby VEStellaLabCities & Public Infrastructure · Control & Automate

Guide compatible vehicles through indoor valet parking.

Vehicle and Parking Occupancy Management
Vehicle and Parking Occupancy Managementby Vemcount (Vemco Group)Transportation & Logistics · Monitor & Detect

Find vacant parking spaces and guide drivers.

What a Predict & Optimize deployment costs

1 site, 10 assets, United States, in USD
$2,600 – $8,700
$700 – $2,400
Estimated first year, by component
$1,000 – $3,300$900 – $3,000$700 – $2,400
Hardware

Sensors, gateways and spare units

Installation and setup

Site survey, mounting, commissioning and configuration

Software and services

Platform subscription, connectivity, data and support

This is an estimate by IoT Apps based on comparable deployments, not a quote from a vendor.
Get an estimate for your own project and invite the vendors you choose to match it. Taxes, shipping, civil works and custom integration are not included. How IoT Apps estimates costs

Business cases in Predict & Optimize

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UNTUCKit increases in-store conversion by 6.9%
Retail & Hospitality

UNTUCKit increases in-store conversion by 6.9%

RetailNext IoT traffic analytics gave the 86-store retailer a trusted baseline for shopper yield, conversion, and staffing decisions.

VF Outlet cuts energy costs over 25% across 25 stores with GridPoint
Buildings & Facilities

VF Outlet cuts energy costs over 25% across 25 stores with GridPoint

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

Hardware for Predict & Optimize

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YOBIIQ iQ Electricity EM2101
YOBIIQ iQ Electricity EM2101Yobiiq · Meter, LPWAN > LoRaWAN
Zaptec Pro
Zaptec ProZaptec · Controller, Cellular > LTE-M
Zonar V4 TCU
Zonar V4 TCUZonar Systems · Gateway, Cellular > 4G

About IoT in Predict & Optimize

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.

Questions and answers

What is Predict & Optimize IoT?

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).

Which industries deploy these solutions most?

Industrial & Manufacturing leads (27% of solutions), followed by Transportation & Logistics (25%) and Energy & Utilities (25%).

What connectivity do these solutions use?

Cellular and Short-Range Wireless lead among the 914 solutions with connectivity on file; LoRaWAN is the single most common technology.

Where are these solutions available?

1322 of 2742 solutions are available worldwide; country-specific availability concentrates in United States, United Kingdom, Canada.

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IoT Apps is an independent platform. Listings do not imply endorsement by or partnership with the vendor. Estimates are indicative and based on comparable deployments, not on vendor quotes.