Please use another Browser
It looks like you are using a browser that is not fully supported. Please note that there might be constraints on site display and usability. For the best experience we suggest that you download the newest version of a supported browser:Continue with the current browser
Manufacturers large and small are aware that digitalization continues to drive every industry forward, making the landscape increasingly competitive. This research study reveals the results of interviews with 200+ senior executives and directors who discussed trends and pitfalls in digitalization as well as examples of successful adaptation and suggestions to overcome barriers to moving forward in the digital age.
Siemens has conducted customer surveys on digitalization in several countries.
Our world is becoming increasingly digitized, from personal devices to complex systems in industry.
Sensors and actuators in gas turbines, trains or manufacturing collect data, monitor conditions, automate functions and optimize processes by utilizing the possibilities of the digital twin as well as consistent data models. Advanced algorithms, high-powered computing, better connectivity and cloud storage all facilitate the emergence of smart systems. Knowing how to leverage the respective opportunities, however, requires a unique set of skills. Siemens has the engineering, domain and digital know-how to generate performance improvements across the entire value chain, from design to production and operations to maintenance.
Digital simulation technology radically accelerates the plant design, the installation and commissioning as well as the entire product design and production planning process. Multiple products can be virtually compared, tested and assessed within a short period of time.
Multiple components in systems and plants can be intelligently networked to communicate with each other and exchange real-time data. The analysis of this data optimizes systems for improved flexibility, efficiency and resilience in response to unforeseen disruptions.
Machine learning makes complex systems more efficient without human intervention – through the use of data, high performance computing and advanced intelligent algorithms. Wind turbines, for example, can increase electricity output by comparing operating data with weather data and making necessary adjustments.
Digital services quickly detect and resolve issues. The intelligent analysis of operational data helps identify patterns and predict potential downtimes. Minimum downtimes boost reliability thanks to lifecycle services.
Be it a power plant, transport network, or a commercial/industrial facility, digitalization makes manufacturing, energy systems and infrastructure more efficient, reliable and future-proof.
Find out more about the digital solutions that Siemens is today already able to offer the world of tomorrow – for more efficiency, sustainability and security.