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The Industrial Technology sector is currently undergoing rapid digital transformation, driven by IoT, AI, and digital twin technologies. Focus is shifting towards sustainable and smart solutions for manufacturing, energy, and infrastructure, aiming for efficiency and reduced environmental impact. Geopolitical shifts and supply chain resilience are also key considerations, fostering localized production and advanced automation.
Total Assets Under Management (AUM)
Industrial Automation Market Size in Germany
~Approximately 18.5 billion USD (Germany's share of Siemens' top countries).
(7.5% CAGR)
- Driven by Industry 4.0 adoption.
- Increased demand for efficiency and cost reduction.
- Expansion of IoT and AI in manufacturing.
250 billion USD
Generative AI will enable rapid prototyping and optimization of industrial designs, from complex machinery to smart infrastructure layouts, significantly reducing development cycles and costs.
Quantum computing holds the potential to solve highly complex optimization problems in supply chain logistics, material science, and process control, far beyond current computational capabilities, leading to unprecedented efficiency gains.
The proliferation of Edge AI will empower industrial systems and machinery to make real-time, autonomous decisions without constant cloud connectivity, enhancing operational resilience and speed in manufacturing and infrastructure.
The German Supply Chain Due Diligence Act (Lieferkettensorgfaltspflichtengesetz - LkSG), effective January 1, 2023, obliges German companies with over 1,000 employees to establish due diligence processes to prevent human rights and environmental violations in their supply chains.
This policy directly impacts Siemens by increasing the need for transparent and traceable supply chains, potentially driving demand for digital solutions that enhance supply chain visibility and compliance.
The proposed EU AI Act, expected to be adopted in 2024, is a landmark regulation classifying AI systems based on their risk level, imposing strict requirements on high-risk AI applications in sectors like critical infrastructure and product safety.
For Siemens, this act necessitates robust compliance measures for AI-driven industrial automation and digital twin solutions, ensuring ethical development, transparency, and data security, while potentially shaping market standards.
The EU Taxonomy Regulation, enacted in 2020 with ongoing delegated acts, establishes a classification system for environmentally sustainable economic activities, providing a common framework for investors and companies.
This regulation encourages Siemens to develop and promote green industrial technologies and solutions that meet the taxonomy's criteria, driving investments in sustainable infrastructure and manufacturing processes for its customers.
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