Capture real-time data from your connected products, plants, machines and systems. Gain valuable insights, optimize operational efficiency, create high-quality, sustainable products and deploy new business models — all with the help of an integrated Edge, IIoT and lifecycle analytics solution.
Manufacturers face various challenges in their business, including inflationary and sustainability pressures, shortage of skilled workers and supply chain disruptions. Their plants are often equipped with outdated legacy equipment that is less efficient, more energy intensive and requires more frequent maintenance than modern alternatives. With outdated systems, they lack necessary transparency into plants, processes, machines and product performance.
This combination of challenges inevitably results in unplanned downtime, lower productivity and reduced product quality, making it even more difficult to achieve expected operational efficiency.
Almost 75% of surveyed manufacturing executives feel that attracting and retaining a quality workforce is their primary business challenge. (Deloitte Insights)
86% of surveyed manufacturing executives believe that smart factory solutions will be the main drivers of competitiveness in the next five years. (Deloitte Insights)
Over 70% of surveyed manufacturers have integrated technologies such as data analytics and cloud computing into their processes. Nearly half are already harnessing the power of IoT sensors, devices and systems. (Deloitte Insights)
How can you gain transparency and leverage real-time insights across your plants, systems, machines and products to ensure efficient, resilient and sustainable operations?
Leverage an integrated Edge, industrial IoT and lifecycle analytics solution to collect operational data from the field, discover insights and merge the real and virtual worlds.
Accelerating digital transformation requires IT/OT convergence and investment in Cloud, Edge, and IoT technologies. Leveraging an integrated solution incorporating Edge, IoT and lifecycle analytics is crucial to optimize efficiency, enhance product quality and enable innovative business models.
Connect critical assets and collect operational data from smart sensors, historian servers or other enterprise systems — either at the edge or in the cloud.
Collect contextualized data to monitor industrial assets in near real time and gain insights based on timeseries data. Track KPIs across production and identify trends and areas to improve overall equipment effectiveness.
Utilize predictive capabilities to avoid unplanned downtime or quality issues. Predict and fix machine failures, defects and quality issues quickly and reliably before they occur.
Develop connected products where IoT data is leveraged to create and monetize new business models, such as equipment as a service (EaaS).
Deliver business value with industrial IoT data by implementing reliable asset monitoring, enhancing manufacturing performance and efficiency and enabling quality prediction. Improve operational and business decision making with data-driven insights.
Monitor, analyze and simulate performance of physical assets and processes in real time. Easily and securely develop personalized IIoT applications with a low-code embedded environment.
Connect your physical assets and enterprise systems to ensure seamless data transmission. Once assets are connected, you can collect and analyze near real-time operational data at the edge or in the cloud.
Start your industrial IoT journey today. Learn how to unlock the full potential of your data step by step with Insights Hub.
Our industrial IoT is recognized for its strengths, including ease of implementation, ease of use, global deployment and an array of solutions. Discover what customers have to say about Insights Hub.
The Industrial Operations X portfolio accelerates production processes by making them adaptive, people-centric and holistically integrated.
Included in the portfolio, Insights Hub delivers business value from IoT data, while the combined IoT capabilities of Industrial Operations X enable customers, partners and organizations across the Siemens Xcelerator ecosystem to build industry-specific applications.
Connect diverse equipment quickly and securely with data transformation and analytics at the edge as well as in the cloud.
Browse Insights Hub documentation to familiarize yourself with the architecture, building blocks, concepts and interactions from token exchange to access control.
Learn about core components offered by Insights Hub with on-demand training. Discover how to connect assets, develop applications with no/low code or traditional development and use Insights Hub capabilities to analyze data.
Connect with fellow Insights Hub users and Siemens experts for information, inspiration and technical questions.
Adopting an industrial IoT solution can help your company drive operational efficiency and improve product quality. An IIoT solution empowers manufacturers with real-time insights across plants, systems, machines and products. With valuable data and increased transparency, you can avoid unplanned downtime, fix machine defects and failures before they occur, extend the lifespan of your equipment and reduce maintenance costs.
There are countless benefits of using an industrial IoT solution. In addition to optimizing production processes and overall operational efficiency, with an IIoT solution, you can:
When searching for an industrial IoT solution, keep the following considerations in mind to ensure you find the best fit for your company:
Part of the Siemens Industrial Operations X portfolio, Insights Hub is an integrated Edge, IIoT and Lifecycle Analytics solution. It leverages intelligent analytic tools to help manufacturers derive valuable insights from IoT data. With real-time data and transparency across products, plants and systems, manufacturers can optimize process efficiency and enhance product quality.
Industrial IoT edge devices play a critical role in collecting, processing and transmitting data within industrial environments. They are located at the edge of the network, closer to the data source, and process tasks locally before transmitting relevant information to the cloud or central systems. Some examples include:
On-demand webinar | IoT remote monitoring services to create new revenue streams
On-demand webinar | Energy management systems boost efficiency and production
On-demand webinar | Advanced Production Analytics and Optimization
Podcast | The future of smart machines and smart industries
Podcast | Driving the digital transformation with IIoT
Podcast | Sustainability and how a digital twin impacts energy resource usage
White paper | Remote condition monitoring and remote service
Ebook | Leverage data and gain insights with IIoT
Ebook | Five ways to leverage a low-code app builder to strengthen IoT
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