Innovation in Manufacturing Processes

🔧 Semiconductor Manufacturing Equipment in 2025: Market Titans, Regional Shifts & Strategic Outlook As the world accelerates toward next-generation semiconductor technologies, manufacturing equipment remains the critical enabler at the heart of this transformation. In 2025, the global market for semiconductor tools is not just expanding—it’s being redefined by geopolitical realignment, capacity race for advanced nodes, and the structural rise of AI workloads. 🥇 Top Equipment Suppliers in 2025 ASML continues to dominate, commanding over 25% of the global market, as EUV and High-NA lithography become indispensable for 2nm and 1.4nm production nodes. Applied Materials maintains its stronghold in etch, deposition, and materials engineering, securing the second-largest share. Tokyo Electron, Lam Research, and KLA round out the top five, with each benefiting from increased capital investments by leading foundries. Other players like SCREEN, Advantest, Teradyne, and ASM International retain strategic positions in inspection, testing, and surface processing. 🌎 Global Dynamics & Regional Spending Asia-Pacific remains the dominant consumer of equipment, absorbing close to 70% of global revenues. China, despite regulatory headwinds, is set to lead again in total investment volume for chipmaking tools, followed closely by Taiwan and South Korea. The U.S. and Japan are rapidly scaling domestic capacity under national semiconductor strategies, while Europe pushes forward with IPCEI-supported mega-fab initiatives. 🔍 Key Trends Shaping the Market 🌐 AI and Edge Inference: The rollout of generative AI and edge computing is driving unprecedented demand for compute density, precision lithography, and high-throughput metrology systems. 🧠 2nm and Beyond: Sub-2nm processes are moving from R&D to production, intensifying the need for EUV and atomic-level etching, deposition, and inspection equipment. ⚖️ Geopolitical Realignment: Export restrictions and reshoring initiatives are reshaping supply chains and triggering regionally diversified fab construction. 🧪 Technological Convergence: Growth in hybrid bonding, chiplets, and advanced packaging further expands the scope of equipment requirements. 💸 Capital Expenditure Trends Global semiconductor equipment spending in 2025 is projected to exceed $100 billion, with front-end tools accounting for more than 60%. Investment in advanced process tools—particularly for 2nm/1.4nm nodes—is accelerating rapidly, with leading manufacturers frontloading capacity to secure early-mover advantage. Despite cyclicality in legacy node CapEx, structural investment for high-performance computing, AI accelerators, & Auto semiconductors remains robust. #Semiconductor2025 #EUV #AIHardware #AdvancedNodes #WaferFabs #Sub2nm #TechPolicy #CHIPSAct #FabExpansion #SemiconductorInnovation #GlobalSupplyChain #EquipmentMakers #IndustrialStrategy #Semiconductors #ChipEquipment #ASML #AppliedMaterials #TokyoElectron #LamResearch #AI

📢 A new paper suggests that a plain-language text prompt may soon be enough to launch an end-to-end drug discovery program... In a new paper, co-authored by Alex Zhavoronkov and David Gennert, PhD, (Insilico Medicine) and Jiye Shi (Eli Lilly and Company), researchers conceptualize a drug discovery paradigm in which a text prompt can initiate an end-to-end drug development program, from target discovery to a clinical-ready candidate. In "From Prompt to Drug: Toward Pharmaceutical Superintelligence", the authors describe how modern drug discovery already can benefit from AI at nearly every step, including omics-driven target identification, generative molecular design, docking and ADMET prediction, retrosynthesis planning, automated synthesis, and even clinical trial modeling. ☝ The problem, they argue, is not a lack of capability but a lack of integration. These systems operate in silos, with humans coordinating handoffs between tools, labs, and teams, creating delays, errors, and bias. Their proposed solution is an AI-orchestrated "system-of-systems". Large language models with advanced reasoning capabilities act as central controllers: planning workflows, coordinating specialized AI agents, calling physics-based models (molecular dynamics, docking, QM), and interfacing with automated laboratories via APIs. Rather than generating molecules directly and hoping for the best, the system runs closed-loop design–make–test–analyze cycles, where experimental results continuously feed back into model refinement. The paper is explicit about technical constraints, though. LLMs alone lack biochemical grounding, suffer from hallucinations, and can propagate errors across pipeline stages. To mitigate this, the authors emphasize hybrid architectures combining language-based planning with structure-aware models, ensemble validation between agents, confidence propagation, backtracking, and mandatory human-in-the-loop checkpoints for high-stakes decisions such as clinical trial design. They refer to the long-term outcome as Pharmaceutical Superintelligence. It is not a single model, but a coordinated, multimodal platform trained on omics data, molecular structures, experimental results, and clinical outcomes, capable of autonomously running large portions of drug discovery while remaining auditable and regulator-aligned. It is a thought-provoking read, and I am curious to read your thoughts about it. While the idea might seem futuristic to some, Insilico Medicine demonstrated a track record of fast-paced drug discovery programs reaching clinical milestones... so while none of their programs are FDA approved yet, they are certainly trying hard to build this vision, it seems... time will tell. Image credit: authors of the paper

The manufacturing landscape is evolving rapidly, driven by AI, sustainability, and agility. My experience at RSWM Limited has shown that progress stems from blending technology with human insight. Beyond automation, success lies in intelligent collaboration. Agentic AI predicts maintenance, optimises supply chains, and boosts efficiency. Value emerges when teams innovate with these systems. Our shift to biofuels and zero-liquid-discharge operations illustrates how discipline transforms waste into value and enhances profitability. Sustainability is core to strategy. Circular models, recycled materials, and bio-fabrication set new standards. GreenStitch’s AI platform supports this by centralising data, automating ESG reporting, and tracking carbon footprints for informed decisions. Agility is vital amid trade shifts and climate disruptions. Market diversification and digital adoption foster resilience: the strength Indian manufacturing has shown across cycles. The future of manufacturing depends on intelligence, agility, and purpose. AI-enabled factories and digital supply chains are becoming standard practice while sustainability is embedded in operations rather than positioned as a CSR initiative. Leadership excels via effective technology integration: data-driven decisions, balanced profitability, responsive systems, and skilled teams. Concerns about AI replacing jobs ignore historical trends. Technology has always redefined roles rather than eliminated work. Supply chains are now AI-driven, equipment uses smart sensors, automated changeovers are standard, and predictive insights have replaced manual inspection. Customer engagement has moved from physical catalogues to digital portfolios, meeting global regulatory and market standards. Today’s manufacturing leaders must ask sharper questions, take informed risks, and build organisations that evolve continuously. Future factories will rely on engineering excellence, strategic clarity, and strong cultural alignment. #manufacturing #AI #agenticAI #technology #leadership #leadwithrajeev

A few months ago, in our Top 5 Tech Trends for 2025, we highlighted the rise of next-generation supply chains as a defining theme. Fast forward to today, and the latest Capgemini Research Institute report on Reindustrialization confirms it: technology is at the heart of the manufacturing revival, especially across Europe and the US.   Several key figures support this observation: 🔹 66% of organizations have a reindustrialization strategy or are developing one (up from 54% last year). Key concerns cited included supply chain pressures, the fear of tariffs and geopolitical risks 🔹 84% of organizations plan to invest in advanced manufacturing tech — including #AI, #GenAI, digital twins, #5G, and edge computing, 🔹 54% have even achieved 20%+ cost savings through digitalization 🔹 Total reindustrialization investment is projected to hit $4.7 trillion over the next 3 years. This trend isn’t just about bringing manufacturing back home — it signals the rise of a new industrial era that blends localization strategy with digital and intelligent technologies. International organizations face unprecedented pressure to make their supply chains not just shorter, but especially smarter through technology. Read our full research publication here:  https://lnkd.in/eYFzg44t Pierre Bagnon Corinne Jouanny Emmanuelle Bischoffe Cluzel�� Jerome Buvat

Innovation is the lifeblood of progress, but it doesn’t happen by chance. It’s cultivated in environments where team members feel safe to share ideas and challenge the status quo. Creating a culture of innovation means nurturing an environment where bold ideas can flourish. It’s about openness, diverse perspectives, and the freedom to experiment. When people feel empowered to speak up, creativity thrives, and true innovation follows. So, how do you create such a culture? 1️⃣ Embed a Growth Mindset: Encourage continuous learning and development across all levels of the organization. Provide resources for professional growth and celebrate learning milestones, fostering an environment where knowledge and skills are constantly evolving. 2️⃣ Facilitate Cross-Functional Collaboration: Break down silos and encourage teams from different departments to work together. Cross-functional projects can bring fresh perspectives and spur innovative solutions that wouldn’t emerge in isolation. 3️⃣ Implement Structured Feedback Mechanisms: Establish regular feedback processes focused on constructive criticism and actionable insights. Ensure psychological safety so team members feel secure, viewing feedback as an opportunity for growth rather than critique. 4️⃣ Encourage Calculated Risks: Promote a culture where calculated risks are welcomed. Empower your team to explore new ideas and approaches without fear of failure. Recognize and reward innovative efforts, even when they don’t result in immediate success. By embedding these principles into your organizational culture, you can pave the way for continuous growth and success. Let’s create spaces where innovation is not just an aspiration but a tangible reality. #Leadership #Innovation #FutureOfWork

The future of manufacturing isn’t being built in Silicon Valley. It’s being built in Biel. 🇨🇭 Today at Swiss Smart Factory, I heard the most powerful question: 💡 “What if we stopped optimizing our current business model and started designing for the one we’ll need in 2030?” That question captures why the Swiss Smart Factory model represents the most sophisticated manufacturing innovation approach in Europe. It’s not a technology showcase. It’s a strategic neutrality platform that enables radical collaboration: → Competing automation providers share the same factory floor → Technology vendors design for interoperability, not lock-in → Global corporations and Swiss SMEs access identical capabilities → Academia validates solutions in real production conditions This ecosystem solves Industry 4.0’s biggest failure: The implementation gap. Three shifts happening right now: ⚡ Digital Twins → Cognitive Twins Virtual representations that predict, prescribe, and continuously learn. AI-augmented simulation that gets smarter with every scenario. Automation → Augmentation Industry 5.0 amplifies human capability. Multi-touch collaboration, VR-enabled review, real-time what-if analysis make complex decisions accessible. Integration → Orchestration When 50+ technology partners operate in one innovation space, interoperability becomes survival. Systems must compose and orchestrate, not just integrate. 🎯While other regions compete on labor costs, Swiss manufacturing competes on precision, quality, and innovation velocity. Virtual Twin intelligence combined with SSF’s collaborative ecosystem amplifies exactly these strengths. This is competitive advantage at the system level, not company level. Not future vision. Strategic transformation laboratory. Working today in Switzerland. 🚀 Your question isn’t “What’s our digital transformation roadmap?” It’s “What ecosystems and capabilities enable our future competitiveness?” Are you buying technology or building adaptive capability? #Industry50 #StrategicLeadership #SwissInnovation #ManufacturingExcellence

🔍 What's the purpose of an AM market report? Too often, people cherry-pick headlines or overview pages to confirm existing beliefs - a dangerous approach. To gain detailled insights for strategic decisions, we need to dig deeper: How was the data collected? Which groups were included? What's the data foundation? What's in and what's out? 📊 I am honored to contribute as a guest author to the latest AMPOWER about industrial Additive Manufacturing developments and trends in Germany. Luckily, AMPower provides a lot of valuable details with high quality for a comprehensive understanding beyond the first page dashboard. 🎯 My key takeaways from the report beyond the first dashboard: ▶️ Metal AM market grew ~17% in machine piece counts - aligned pretty well with the 16% growth projections, as I posted one year ago. China is reported at remarkable ~48% growth in AM machines been sold, accompanied by significant price reductions during the current consolidation and scaling phase, which makes it tough for machine some machine builder. ▶️ Metal materials market: ~20% growth signals clear increase in production lots and volume of applications. Significant price reductions in metal powders continue to accelerate this trend. ▶️ Part manufacturing metrics becomes less indicative within the report due to ongoing transformation from the typical service providers to focused producers. Major players like BMW, Bosch, Divergent, SpaceX, Blue Origin, Isar Aerospace, Siemens Energy, Siemens Mobility, Divergent, YouMawo, Stryker, Triastek and many more being active in over 10 industries aren't easily captured in any statistics, as Matthias Schmidt-Lehr confirmed at the recent AMS Conference in New York. ▶️ Polymer materials show ~15% growth, while polymer 3D printing faces pressure from million Bambu printers entering typical tooling applications. These million of systems are below the threshold of 10,000 Euro being reported. 💡 Welcome to the tough manufacturing's economy of scale future, where additive manufacturing is becoming firmly established as enabler for advanced part design and manufacturing across 10+ industries! #AdditiveManufacturing #MarketIntelligence #AdvancedManufacturing

Today’s ‘Good’ is tomorrow’s ‘Not good enough’. Maintaining your competitive advantage in the era of Industry 4.0 demands more, faster. Business leaders know that market conditions and technological progress are changing so rapidly that failure to react quickly can be catastrophic. To quote Rebecca Morgan's 𝐌𝐚𝐧𝐮𝐟𝐚𝐜𝐭𝐮𝐫𝐢𝐧𝐠 𝐌𝐚𝐬𝐭𝐞𝐫𝐲: ‘While manufacturing will not die, individual manufacturing companies will if they do not learn to thrive in this new world. Operations has to step forward.’ Manufacturers face a transformative era where "good enough" rapidly becomes obsolete. To maintain a competitive edge, it is critical to foster an environment that not only welcomes but accelerates change. 𝐇𝐞𝐫𝐞'𝐬 𝐡𝐨𝐰: 1) Adaptability must be at the core of operations. The ability to pivot and respond to market changes quickly is a non-negotiable asset. 2) Beyond incremental improvements, build a mindset of innovation into every employee's DNA. Encourage experimentation and idea generation to redefine your products, your processes, your customer engagement, and the way your company provide value. 3) It is your job as leadership to push change and implement innovations as fast as possible, up until the point of breaking. 4) Providing more of the same, faster won’t be a sustainable competitive advantage. Operational excellence must evolve beyond mere efficiency; it requires a strategic blend of creativity and analytics. The future belongs to those who act with urgency and foresight. It's time to push the envelope, drive transformative change, and ensure that your company doesn't just survive but thrives in the new industrial landscape. If you want to learn more, I highly recommend reading Rebecca Morgan’s Book “𝐌𝐚𝐧𝐮𝐟𝐚𝐜𝐭𝐮𝐫𝐢𝐧𝐠 𝐌𝐚𝐬𝐭𝐞𝐫𝐲: 𝐓𝐡𝐞 𝐏𝐚𝐭𝐡 𝐭𝐨 𝐁𝐮𝐢𝐥𝐝𝐢𝐧𝐠 𝐒𝐮𝐜𝐜𝐞𝐬𝐬𝐟𝐮𝐥 𝐚𝐧𝐝 𝐄𝐧𝐝𝐮𝐫𝐢𝐧𝐠 𝐌𝐚𝐧𝐮𝐟𝐚𝐜𝐭𝐮𝐫𝐢𝐧𝐠 𝐁𝐮𝐬𝐢𝐧𝐞𝐬𝐬𝐞𝐬” https://lnkd.in/e9gQaYNr ******************************************* • Visit www.jeffwinterinsights.com for access to all my content and to stay current on Industry 4.0 and other cool tech trends • Ring the 🔔 for notifications!

#3dprinting in #prototyping … 🖥 … or even beyond? 🔮 We at MANN+HUMMEL are convinced, that #additivemanufacturing, is one of the key technologies for the #future for more #innovation and more #sustainability in product development 💻 But not only for prototyping applications these #technologies are offering many new possibilities. In my opinion AM technologies has indeed evolved significantly and are still almost endless and far from being exhausted 🚀 Let’s have a view on some key areas where AM technologies can make a substantial impact: ✅ Production at scale: There're already examples of companies which are using AM for industrial production scenarios. This aim is driven by the ability to produce complex parts more efficiently and with less waste compared to traditional manufacturing methods 🛠 ✅ Customization and flexibility: AM allows customization, enabling production of unique parts without the need for expensive tooling. This is particularly beneficial in industries like healthcare, here customized implants and prosthetics can be produced to fit individual patients perfectly 🔩 ✅ Supply Chain optimization: By enabling on-demand production, AM reduces the need for large inventories of spare parts. For example, first automotive companies are using AM to produce spare parts for its classic vehicles, ensuring availability without the need for storage 🚍 ✅ Material innovation: The range of materials that can be used in AM is constantly expanding. This includes not only various plastics and metals but also ceramics, glass, and even living cells. This versatility opens up new possibilities in various fields 🎈 ✅ Design freedom: AM allows designers to create parts that would be impossible or very difficult to produce with traditional methods. This includes complex geometries and lightweight structures that enhance performance and reduce material usage ⚖ ✅ Sustainability: AM can contribute to more sustainable manufacturing practices by reducing material waste and enabling the use of more environmentally friendly materials. In addition there are in the meantime examples of closed material circles available ♻ Overall, AM is transforming manufacturing by offering greater design flexibility, reducing time to market, and enabling more sustainable production practices. It’s exciting to see how this technology will continue to evolve and impact various industries! 🧩 That's why I would like to support new perspectives that move us forward and help to overcome individual challenges to support a cleaner world - because we have only this one! 🌍 During our 1st MANN+HUMMEL Additive Manufacturing Day (taking place by September 17th) we will have the chance to dive into this fascinating world 🔥 Already in 2013 US President Barack Obama called “3D-printing a technology that has the potential to revolutionize the way we make almost everything”. What do you think about the additive revolution? 😎 #filtrationambassador #linkedinbyjuergenjenner

How can you grow innovation in an organisation that is tired and overloaded? No! Not by launching yet another innovation programme. Tired teams don’t need more. They need different. Here are 5 things to do: 1. Kill before you create You can’t grow innovation on top of a full plate. Make a stop list before a to-do list: which meetings, reports, projects and rituals will you end to free up energy for new ideas? 2. Protect small islands of focus time Innovation dies in back-to-back calendars. Block fixed “no meeting” slots or a monthly sprint where teams can work on one opportunity without interruptions. Guard this time like you guard client deadlines. 3. Shrink the ambition, speed up the learning Overloaded people fear “big transformation”. Instead, ask for tiny experiments: 1 idea, 1 customer segment, 1 simple test within 2–4 weeks. The goal is learning, not a perfect business case. 4. Change leadership behaviour, not posters Culture follows what leaders do on Monday morning. Leaders should ask: “What did we learn?” more often than “Did we hit the numbers?” and publicly reward smart experiments, even when they don’t “win”. 5. Make progress visible and human Tired organisations often are moving… they just can’t see it. Create a simple “innovation wall” (physical or digital) showing ideas, tests, and outcomes. Celebrate small wins with names and faces, not just dashboards. Innovation culture doesn’t start with energy. It starts with permission, space and small, real progress – especially when everyone is tired. #innovation #innovationculture #leadership #change #futureofwork #organisationaldevelopment