Channel
Industry 4 0 coverage from 德国制造新闻.
In-depth analysis of the core trends in industrial automation showcased at SPS 2025, from software-defined automation to edge AI, exploring the profound impact of these technologies on high-end German manufacturing, Industry 4.0, and the restructuring of global supply chains.
In-depth analysis of cutting-edge trends at the SPS 2025 exhibition, focusing on the structural impact of software-defined automation, edge AI, and Agentic AI on high-end German manufacturing, and exploring the next phase of Industry 4.0 development logic.
The global smart manufacturing market is expected to grow from approximately US$430.8 billion in 2026 to approximately US$974.7 billion in 2035. For German industry, the key is not the scale itself, but that the fastest-growing segment is shifting from machines to software, services, and the production scheduling layer—this directly touches the moat of German manufacturing.
SPS 2025 sends a clear signal: the center of value in industrial automation is shifting from proprietary hardware to software platforms, data layers, and AI capabilities. Starting from the German industrial system, this article analyzes the long-term implications of this shift for German manufacturing competitiveness, supply chain structures, and European industrial policy.
According to the latest market report, the global industrial AI market is projected to surge from USD 72.35 billion in 2025 to USD 439.01 billion by 2035. This article offers a German industrial perspective on the deeper implications of this transformation for manufacturing competitiveness, the future of Industry 4.0, and Europe's industrial role.
Interpreting smart factory and industrial automation trends from the perspective of German industry, analyzing their profound impact on manufacturing systems, industrial chains, and the global competitive landscape.
Global smart manufacturing market reaches $175 billion by 2025, and industrial AI is redefining the rules of competition in manufacturing. Judging from the latest IoT Analytics rankings, how are companies like Siemens in Germany responding to this shift?
As AI search and generative artificial intelligence develop, the international news distribution industry is shifting from traditional press release distribution to AI visibility distribution, with companies beginning to focus on the discoverability of information in search engines and AI systems.
The global intelligent manufacturing market is projected to reach $974.71 billion by 2035. Germany, as the birthplace of Industry 4.0, is facing critical decisions in value chain restructuring. This article analyzes the industrial logic behind this trend from a German industrial perspective.
Based on the five major manufacturing trends for 2026 released by RSM, this interprets the impact of AI-empowered smart manufacturing, cybersecurity, supply chain restructuring, workforce transformation, etc., on the future of German manufacturing from the perspective of the German industrial system.
The global industrial automation market is expected to reach $97.2 billion by 2036. Germany, as the birthplace of Industry 4.0, faces the dual challenges of intensified competition and technological iteration. This article analyzes the long-term impact of the automation wave on industrial competitiveness from the perspective of the German manufacturing system.
From Automate 2026: The Competitive and Collaborative Impact of Taiwan's Edge AI and Industrial Computing Ecosystem on German Industry 4.0
China's manufacturing sector is shifting from a scale advantage to intelligent manufacturing driven by computing power and AI, posing direct competition to Germany's Industry 4.0 strategy and potentially reshaping the global advanced manufacturing landscape.
Automation trends revealed at Automate 2026 and their profound impact on Germany's Industry 4.0 strategy, manufacturing competitiveness, and the global industrial landscape.
From AMufacture, see how German industry uses 3D printing technology to reshape the defense supply chain, and analyze its profound impact on the competitiveness of German manufacturing and the European industrial chain.
Rockwell Automation and the Automotive Research Center jointly released a white paper, revealing that AI and machine learning can achieve up to a 50% reduction in unplanned downtime and a 5-7% increase in throughput in automotive manufacturing. From the perspective of the German industrial system, this article analyzes the far-reaching impact of this trend on the competitiveness of German automotive manufacturing, smart factory upgrades, and global industrial chains.
In 2025, robot orders in the United States grew by 6.6%, with demand from non-automotive industries surpassing the automotive sector for the first time. What does this trend mean for German industry? How are German automation suppliers responding to changes in market structure?
An interpretation of the key trends in the industrial machinery sector from the perspective of Germany’s industrial system: AI, smart manufacturing, predictive maintenance, sustainable production, modular design, and supply chain restructuring, explaining how these changes will affect the competitiveness of German manufacturing and the structure of Europe’s industrial supply chain.