Siemens Insights Hub is an open industrial IoT as a service solution that enables industrial scalable solutions, continuous insights, comprehensive analytics, complete lifecycle visibility and custom digital strategies that give companies a competitive advantage.
Insights Hub Quality Prediction for Manufacturing and Connected Shopfloors is part of Siemens Xcelerator portfolio. Insights Hub empowers industries to generate actionable insights from assets and operations data, driving manufacturing excellence by improving operational efficiency and quality.
Insights Hub Quality Prediction is an easy-to-use industry solution to predict quality metrics with machine learning technologies for goods while they are manufactured. Thereby it continuously improves quality inspection and rework processes. This solution also indicates which machine and process parameters influence quality outcome, ranks them by importance and provides insights such that processes can be tuned for optimal quality outcome.
Insights Hub Quality Prediction offers the following capabilities for automatic prediction of the quality metrics by production data analytics
Exploration of data identifying influence factors and correlations
Pre-processing, aggregation and feature extraction for machine and quality data
Use of machine learning to solve regression and classification problems for quality prediction
Visualization of prediction results (incl. virtual experiments)
Along with Insights Hub Quality Prediction, you will receive:
Dedicated Industrial IoT environment which provides you access to key industrial IoT capabilities in form of a Premium Capability Package
10,000 Asset Attributes to configure your industrial IoT data model. Asset Attributes represent the field variables to read and configure
IIoT Data Package Medium
Insights Hub unleashes the full capability of Siemens Industrial IoT at scale. Transform your entire business, processes and products with deep, actionable insights into your enterprise. Discover the semantics of data on a large scale and, on top of that, enhance the production lifecycle, product maintenance and engineering with the fast set up of digital twins for connected products and shop floors. This is all built on top of a seamless integration of Industrial IoT into any enterprise ecosystem through a powerful Identity Provider Federation tool. This package comes with a production and operator environment, a development environment and two test environments.
For end users, the Premium capability package allows you to:
take control of authentication and kick-start into Industrial IoT with Identity Provider federation
use powerful Digital Twin applications for IoT enabled product diagnosis and design improvements or simulation backed production analytics and optimization - connect your downstream and upstream processes across product or factory lifecycle to simulate, predict and optimize the product and production systems
benefit from advanced data contextualization by querying semantically contextualized data from multiple data sources.
For developers or solution providers, Premium capability package aligns to needs of mission critical use cases with selling capabilities, such as providing apps to others, publishing them in the Digital Exchanage Marketplace or multiple environments for testing of e.g. multitenancy:
Build a simple IoT app or digital service which leverages advanced analytics capabilities
Sell your app or digital service directly to your end customers
Sell your app or in the global market via the Digital Exchange Marketplace at-scale
Highlights
Leading industrial IoT as a service solution: Connect assets and upload data to the cloud; Collect, monitor, and analyze data in near real-time.
Gain insights to improve efficiency and profitability.
Take advantage of all the Siemens Industrial IoT apps and solutions that solve business problems, including Insights Hub OEE, Insights Hub Quality Prediction, Insights Hub Asset Health & Maintenance and Insights Hub Intralogics.
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
This listing uses a single pricing dimension: a custom quote based on connected assets. Pricing scales with the number of assets you connect to Insights Hub Quality Prediction. There are no fixed tiers or preset packages to choose from. Instead, you work with the vendor to size the deployment and receive a quote matched to your asset count. This product collects machine and process data and applies machine learning to predict quality and defects. As your connected asset count grows, your quote adjusts accordingly.
Top-of-mind questions for buyers
What counts as one connected asset for billing purposes?
A connected asset is a piece of equipment or a machine that sends data into Insights Hub Quality Prediction. Each machine you link for data collection counts toward your asset total. Your custom quote is sized to the number of these connected assets.
What happens to my quote if I connect more assets later?
Pricing scales with your connected asset count. If you add more machines, your deployment grows and your quote adjusts to match the new total. You work with the vendor to resize the quote when your asset count changes. There are no preset tiers that trigger automatically.
What does the product actually do with the connected asset data?
It collects machine and process data from your connected assets, then feeds it into a machine learning model. The model predicts quality and identifies possible reasons for defects. This helps reduce defect rates, lower rework costs, and recommend parameter settings for higher quality.
Request a private offer to receive a custom quote.
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Sometimes i see items not intreet that i see in the insights hub
What problems is the product solving and how is that benefiting you?
There are no problems
Industrial Automation
Creative and Effective: Boosts Shop-Floor Efficiency and Growing Customer Use Cases
Reviewed on Jun 30, 2026
Review provided by G2
What do you like best about the product?
Great and creative; it helps a lot on the shop floor, and customer use cases are growing.
What do you dislike about the product?
It's great, but I'd like more use cases for different domain customers and clearer information about the integration.
What problems is the product solving and how is that benefiting you?
This solution addresses manufacturing challenges by leveraging industrial IoT data and AI. Given current trends and pace, it should enable faster adoption and better process control across operations.
Consumer Electronics
Easily Textualize Data with Powerful Out-of-the-Box Functions
Reviewed on Jun 29, 2026
Review provided by G2
What do you like best about the product?
That you can easily textualize data and use out of the box functions .
What do you dislike about the product?
The pricing is from may perspective to high
What problems is the product solving and how is that benefiting you?
Mainly the owe . Simplifies koi generation and monitoring
Björn K.
Powerful OEE, Insights, and AI for Versatile Use Cases
Reviewed on Jun 29, 2026
Review provided by G2
What do you like best about the product?
OEE, Insight, AI. Get data for a lot of use cases.
What do you dislike about the product?
Missing data in OEE for special evaluation
What problems is the product solving and how is that benefiting you?
Sync of assets. Experts are helping.
Dream F.
Valuable Insights That Deliver
Reviewed on Jun 03, 2026
Review provided by G2
What do you like best about the product?
Insights that it gives very good Insights of Ops data
What do you dislike about the product?
nothing really, I really like it and its integration with various data sources
What problems is the product solving and how is that benefiting you?