The global manufacturing landscape is currently undergoing a transformation driven by Industry 4.0, the fourth industrial revolution. Embedded systems, which are a key technology of the Internet of Things (IoT), play a central role here. They form the basis for intelligent, automated and networked production processes that bolster the competitiveness of companies and set new efficiency standards. Current studies show that embedded systems are not only technological, but also economic drivers of this transformation.
Embedded systems, i.e., specialized computers that are integrated into larger systems, are an integral part of modern manufacturing processes. These small, powerful devices enable machines to be controlled and monitored in real time. According to a recent report from Global Market Insights, the market for embedded systems will reach a volume of more than $250 billion by 2032, driven by the rapid increase in IoT applications. In 2024 alone, investments in embedded systems are expected to increase by 12% compared with the previous year, a figure that underscores their strategic importance for companies worldwide.
One outstanding example is production automation in the electronics industry, where microcontroller-based embedded systems take over the precise control of SMT placement machines. This automation leads to a reduction in the reject rate of up to 25 percent, according to a study by the Fraunhofer Institute. Demand for such solutions is growing, particularly in Asia, which now accounts for 45 percent of the global market for embedded systems.
The Internet of Things is the backbone of Industry 4.0. It facilitates the seamless connection of devices, machines and systems via digital networks. Embedded systems act as intermediaries between the physical and digital worlds. They collect, process and communicate data in real time, paving the way for data-driven decisions.
Companies that integrate IoT technologies can achieve up to 30 percent greater efficiency in production. For example, a leading automaker was able to reduce production downtime by 20 percent by using IoT-enabled embedded systems. In the chemical industry, IoT systems ensure that plants operate more safely and reliably thanks to continuous condition monitoring. The market penetration of these technologies in developed economies is now over 60 percent.
As networking increases, so does the amount of data generated. Edge computing in which data is processed directly at the source has proven to be a key technology for efficiently managing this flood of data. Embedded systems are crucial for edge computing, as they provide local processing capacities and thus reduce the dependency on centralized cloud systems.
A recent study by Mordor Intelligence reports that around 70 percent of all data will be processed at the edge by 2028. In the manufacturing industry, this will result in a significant reduction in latency times and an increase in production speed by an average of 15 percent. Such companies as Siemens and Bosch are already increasingly relying on edge-based solutions supported by embedded systems to make their production facilities more flexible and resilient.
The introduction of embedded systems and IoT technologies into production brings with it both great opportunities and challenges. The harmonization of standards, as promoted by such organizations as the International Data Spaces Association (IDSA), is crucial to ensure interoperability and data security. It is estimated that around 30 percent of skilled workers in the industry will require new qualifications in the field of IoT and embedded systems by 2025.
Data security in particular remains a critical issue. According to a survey conducted by PWC in 2024, 75 percent of manufacturing companies consider cybersecurity to be the biggest hurdle when implementing Industry 4.0 technologies. Solutions such as hardware-based encryption that is integrated into embedded systems are therefore becoming increasingly important.
The integration of artificial intelligence (AI) and embedded systems marks the next milestone in the digital transformation of manufacturing. AI-supported algorithms on embedded platforms enable precise predictions and optimize manufacturing processes in real time. According to an analysis by Deloitte, predictive maintenance with AI-based embedded systems can reduce maintenance costs by up to 25 percent.
One prominent example is the aviation industry, where AI and embedded systems work together to reduce fuel consumption and increase safety. According to forecasts, such technologies will be implemented in 80 percent of all new aircraft models by 2030.
Embedded systems are not only technological tools, but also strategic enablers for the transformation toward digitalized and networked production. Their role as the heart of IoT, edge computing and AI applications makes them indispensable for competitiveness in an increasingly data-driven economy. Companies that adapt these technologies at an early stage and invest in employee training will benefit from greater efficiency, lower costs and more sustainable production in the long term.