Sold by: Siemens Digital Industries Software
Deployed on AWS
Insights Hub for Enterprise Manufacturing 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.
4.4
Overview
Insights Hub Enterprise Manufacturing 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 for Enterprise Manufacturing is an industrial IoT as a service solution that uses advanced analytics and AI to power IoT solutions, coupled with Closed-Loop Digital Twin, to provide insights to improve shopfloor operations and throughput performance. With Insights Hub you can ingest and visualize immediate real-time data and analytic results in one centralized location with powerful core applications and an application ecosystem to unleash your digital potential.
Siemens' IoT & Lifecycle Analytics within Industrial IoT for Enterprise Manufacturing addresses all Enterprise IIoT challenges providing an easy, configurable industrial IoT solution for the Enterprise at any stage of their digitalization journey. IoT & Lifecycle Analytics is an AWS cloud native solution deployed in your AWS Accounts providing an ongoing value for companies that want to use software solutions as a service (SaaS) via connection to the cloud for their Enterprise. Enterprises with the Insights Hub Enterprise Manufacturing environment can scale up, utilize and deploy IoT technologies quickly and cost-effectively, collaborate securely across engineering and manufacturing domains to leverage their ecosystem insights and information.
Benefit from the unlimited possibilities of IIoT: Lower costs, higher quality, more flexibility, efficiency and faster innovation. At Siemens, our mission is to support your strategy: Conquer your market through the perfect integration of data and digitalization. Our IIoT solutions deliver the speed, scalability and versatility you need to succeed. Discover how you can use the power of Insights Hub from published use cases and applications across the connected assets on manufacturing applications for specific industries below.
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 for Manufacturing and Connected Shopfloors and Insights Hub Intralogics.
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Dimension | Description | Cost/12 months |
|---|---|---|
Custom Quote | Insights Hub for Enterprise Manufacturing (Connected Assets) | $300,000.00 |
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By Siemens Digital Industries Software
By HighByte
By Xemelgo
Top
100
In Analytics, Industrial IoT, Industrial
Top
10
In Data Analysis, Industrial, Industrial IoT
Top
100
In Applications, Industrial IoT, Industrial
Sentiment is AI generated from actual customer reviews on AWS and G2
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Real-Time Data Ingestion and Visualization
Capability to ingest and visualize immediate real-time data and analytic results in a centralized location from connected industrial assets
Advanced Analytics and AI Integration
Advanced analytics and artificial intelligence algorithms to power IoT solutions and generate actionable insights from assets and operations data
Closed-Loop Digital Twin Technology
Closed-Loop Digital Twin implementation coupled with IoT solutions to provide insights for improving shopfloor operations and throughput performance
Cloud-Native Deployment Architecture
AWS cloud-native solution deployed in customer AWS accounts providing scalable industrial IoT infrastructure without requiring on-premises deployment
Configurable Industrial IoT Platform
Configurable industrial IoT solution with core applications and extensible application ecosystem supporting enterprise-wide asset connectivity and data collection
Data Modeling and Asset Management
Build and deploy asset models using a visual editor or import external model definitions, with capability to calculate and visualize metrics from telemetry data through integration with AWS IoT SiteWise.
Multi-Protocol Data Connectivity
Connect to diverse industrial data sources using open standards and native protocols including OPC UA, SQL, MQTT, Sparkplug, REST, and CSV from sensors, machines, legacy equipment, OPC servers, transactional systems, and historians.
Bidirectional Edge-to-Cloud Data Streaming
Stream modeled data from edge to multiple AWS endpoints including AWS IoT Core, IoT SiteWise, IoT Greengrass, Amazon Kinesis, and Amazon S3, while simultaneously consuming cloud data and publishing it back to on-premises systems.
Data Transformation and Normalization
Normalize, standardize, and contextualize data points using a drag-and-drop interface to model and transform data in motion for consumption by target applications including AI agents.
Model Context Protocol (MCP) Server Integration
Embed MCP Server functionality to build MCP Services around industrial assets for agentic AI platforms, enabling scoped data access and narrowed agent understanding without hardcoded configurations.
Real-time Operational Visibility
Cloud-based access to real-time information across all stages of production from raw materials to finished goods, accessible from web or mobile devices.
IoT-Powered Tracking and Monitoring
IoT technology integration for automated tracking of work-in-progress, inventory management, asset tracking, and shipment monitoring.
Intelligent Alert System
Automated intelligent alerts and advanced analytics that proactively identify and mitigate potential operational risks and disruptions.
Multi-Domain Operations Management
Unified management of Work-in-Process, Inventory, Assets, and Shipments across manufacturing operations.
Scalable Cloud-Based Architecture
Flexible and scalable cloud-based solution designed to support businesses of varying sizes across multiple industries.
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Customer reviews
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Reviewed on Jun 30, 2026
Review provided by G2
What do you like best about the product?
The new updates that i see in the insights hub
What do you dislike about the product?
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.
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.
PaulT
Energy dashboards have given us clear cost insights and guide data driven production decisions
Reviewed on Jun 19, 2026
Review from a verified AWS customer
What is our primary use case?
We primarily used the performance module in Insights Hub for IoT projects, collecting electrical meters on-site and generating a performance dashboard on Insights Hub to display electrical power, cost, and investment to our customers.
We collected this data via Modbus and also purchased Siemens hardware, including the IoT 2050 gateway, to transfer shop floor data to an IoT LAN and then to the AWS cloud, allowing the data to display on Insights Hub. We imported our local electrical cost per hour because we are located in China, enabling our customers to view the cost directly for every week, day, and even every shift for the whole plant, a specific location on the shop floor, or even just one machine.
We also attempted to get production data to show the OEE on Insights Hub, but since we did not purchase the OEE module, we wanted to do some development ourselves using the performance module. In my opinion, this approach is not very effective, and though I have never used the OEE module, I believe using Insights Hub's OEE module would be better.
What is most valuable?
In my experience, the best features Insights Hub offers are its compatibility with Siemens hardware, making it very easy to implement Insights Hub if your shop floor automation control scope includes Siemens products, including Siemens switches, gateways, CPUs, and protocols. However, if you use something from a Japanese PLC manufacturer or anything else, it will be a challenge.
Mahle is a big company, and for the Mahle plants in Europe, I believe most of their devices are Siemens, making it easier to implement Insights Hub than in the Asia region. In our Asia region, for example, if you want to get data from a machine center from a Japanese brand such as FANUC or Mitsubishi, we have to use an OPC solution between the shop floor and Insights Hub. We purchased Kepware to help us with the communication from Insights Hub to the shop floor.
Insights Hub's impact on our organization depends on the region. In our European and American regions, it would be more positive than in our Asia region, where their plants are more supportive of the project and their transparency is better, but more or less, it is an improvement for our management. The management may shut down some machines that cost a lot to save on electrical costs, adjust their production plan to the night shift because the electrical cost will be lower than the day shift, and may even adjust their heater time to reduce unnecessary heater usage to save on electrical costs. Anyway, the plan is to save money using Insights Hub's dashboard.
What needs improvement?
I hope Insights Hub can support a UMS idea and solution in the future. If we have a UMS hub or data center, Insights Hub could integrate with our database, allowing us to share one data center regardless of whether it is our MES system, SCADA system, or Insights Hub, which would be more efficient for a global company.
Insights Hub could connect to our UMS data center, which would eliminate the need to rebuild a connection between the shop floor and Insights Hub. Additionally, Insights Hub could support MES functions, allowing us to integrate with the production line and transfer the ERP order from the ERP to our shop floor, thus helping the ERP be more efficient. This would include performing a buy-off from the shop floor to the ERP and adjusting the production plan for the ERP production order for greater efficiency in our production planning. I hope we can achieve MES functions in an IoT solution such as Insights Hub.
One point I am not so satisfied with regarding Insights Hub is the gateway, which I believe runs on a Linux or Unix OS but does not display well for our end-users. This requires us to ask for help and support from our IT department as we cannot perform what we can do with a Windows device, such as RDP to the gateway and monitor any issues inside. Sometimes we do not know the issue exactly and have to check the log, which is very complex for the end-user.
For how long have I used the solution?
When I was at my previous company, Mahle, I used Insights Hub to do some IoT projects for about one year.
What do I think about the stability of the solution?
Insights Hub is stable, but sometimes our shop floor device is not so stable.
What do I think about the scalability of the solution?
Scalability is better for Siemens hardware, but if we use Japanese hardware, the scalability is not as good.
How are customer service and support?
Mahle purchased the whole solution from Siemens, so we cannot get support directly from Siemens. We get support from the Mahle IT department, and they will contact Siemens. I am not sure if Insights Hub can provide a ticket system so we can raise tickets directly to Siemens for support.
Which solution did I use previously and why did I switch?
I did not hear about other options because when I joined Mahle, they already used Insights Hub.
How was the initial setup?
Insights Hub is a good IoT solution and cloud solution. To be honest, it has easy to normal implementation difficulty for the company, which can provide some help for our company to do modifications or adjustments.
What about the implementation team?
We purchased Insights Hub directly from Siemens.
What was our ROI?
The management may shut down some machines that cost a lot to save on electrical costs, adjust their production plan to the night shift because the electrical cost will be lower than the day shift, and may even adjust their heater time to reduce unnecessary heater usage to save on electrical costs. Anyway, the plan is to save money using Insights Hub's dashboard.
What's my experience with pricing, setup cost, and licensing?
Because I am in a technical department, I am not familiar with the price, cost, and licensing. I cannot provide this information because I am not at Mahle now.
Which other solutions did I evaluate?
Some companies have their own designed solution based on the Microsoft Azure cloud, but the solution is self-developed.
What other advice do I have?
I have never used Insights Hub's AI function.
If there is an AI capability for Insights Hub, I hope it can be used with human language to help our end-users do the integration, allowing the end-user to import their idea for which meter or which data they want on Insights Hub, so that Insights Hub can use the AI function to automatically build some logic behind to achieve this.
I am not sure if Insights Hub can provide a ticket system so we can raise tickets directly to Siemens for support.
My overall rating for this product is eight out of ten.
Which deployment model are you using for this solution?
Public Cloud
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Amazon Web Services (AWS)