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| 27.06.25 13:46:00 | Traffic Management Industry Insights and Forecasts, 2021-2025 & 2025-2031 | Explore Innovations in AI, IoT, and Sustainable Mobility, Alongside To |  |
| Company Logo Discover the future of the Global Traffic Management Market, set to skyrocket from USD 38.46 Billion in 2024 to USD 83.05 Billion by 2031, with a 10.35% CAGR. Key drivers include urbanization, smart city expansion, and the rise of private vehicle ownership. , navigating a landscape shaped by smart systems and cloud solutions. Dublin, June 27, 2025 (GLOBE NEWSWIRE) -- The "Traffic Management Market (2025 Edition): Analysis By System Type, By Deployment Mode, By Application: Market Insights and Forecast (2021-2031)" report has been added to ResearchAndMarkets.com's offering. The Global Traffic Management market showcased growth at a CAGR of 10.35% during 2021-2024. The market was valued at USD 38.46 Billion in 2024 which is expected to reach USD 83.05 Billion in 2031. This report provides a complete analysis for the historical period of 2021-2024, the estimates of 2025 and the forecast period of 2026-2031. The Global Traffic Management Market is undergoing significant transformation and expansion, fuelled by the rising complexities of urban mobility, increased vehicle ownership, and the accelerating shift toward smart city infrastructure. Traffic congestion, urbanization, environmental concerns, and safety issues have placed immense pressure on city planners and transportation authorities to adopt advanced technologies for traffic control and optimization. As a result, traffic management systems, which encompass route guidance, adaptive traffic control, urban traffic monitoring, and incident detection, are becoming indispensable in managing modern transportation networks effectively. Asia Pacific is the fastest-growing market due to its rapid urbanization, government push for smart infrastructure, and high population density. Countries like China, Japan, and India are aggressively deploying intelligent traffic systems to manage expanding vehicle fleets. North America continues to hold a significant market share, supported by established infrastructure, high technology adoption, and federal transportation funding. Europe, with its focus on sustainability and multi-modal transport systems, is integrating traffic management with climate policies and electric mobility. Meanwhile, the Middle East and Africa are investing in traffic systems as part of their broader vision to develop smart cities, particularly in the UAE, Saudi Arabia, and South Africa. In terms of the competitive landscape, the market features a mix of global and regional players offering a broad portfolio of solutions. Companies like Cubic Corporation, Siemens Mobility GmbH, Kapsch TrafficCom AG, PTV Group, Iteris Inc., and Thales Group are leading the market through continuous innovation, acquisitions, and public-private partnerships. These companies are leveraging AI, 5G, and advanced data analytics to build modular and interoperable systems tailored to different urban contexts. The market operates within the broader umbrella of the Intelligent Transportation Systems (ITS) ecosystem, integrating various technologies like artificial intelligence (AI), the Internet of Things (IoT), machine learning, and big data analytics. These systems collect, process, and analyse vast amounts of real-time traffic data to enable better decision-making. Governments and city municipalities are increasingly investing in these solutions to minimize traffic bottlenecks, reduce road accidents, lower emissions, and improve commuter experiences. The integration of 5G connectivity is further streamlining data transmission, enhancing the responsiveness of traffic management solutions across large-scale urban geographies. One of the primary growth drivers of the market is urbanization and population growth. According to the United Nations, over 68% of the world's population will reside in urban areas by 2050, significantly increasing the burden on road infrastructure. Cities are struggling to manage increased commuter flows and commercial traffic, which has led to severe congestion in metropolitan zones. This urban sprawl necessitates the deployment of real-time traffic management solutions that can dynamically respond to changing traffic conditions. Adaptive traffic signals, predictive routing algorithms, and integrated traffic control centres are helping cities become more efficient in traffic handling. The rise in private vehicle ownership, particularly in emerging economies such as India, Brazil, and Indonesia, has intensified traffic congestion issues. In response, traffic authorities are seeking technologically advanced solutions to manage peak-hour traffic, reduce commute times, and ensure better traffic flow. Systems like automatic number plate recognition (ANPR), smart signalling, CCTV surveillance, and vehicle counting sensors are being deployed on a massive scale. These systems, when integrated with centralized command and control centres, enable real-time visualization and management of entire city-wide traffic operations. Moreover, sustainability concerns are pushing governments to promote green mobility initiatives. By optimizing traffic flow, intelligent traffic systems contribute to lower emissions and better air quality. For example, adaptive signal controls reduce vehicle idling at intersections, thereby minimizing fuel consumption. Environmental incentives and global climate commitments, such as those outlined in the Paris Agreement, are encouraging nations to invest in technologies that align transportation systems with sustainability goals. Government regulations and smart city initiatives have become major catalysts for market expansion. Countries like the United States, Germany, the UAE, and China are integrating traffic management systems as critical infrastructure within their national and regional smart city programs. In the United States, initiatives under the U.S. Department of Transportation (USDOT), such as the ITS Joint Program, are supporting the development of connected vehicle infrastructure and real-time traffic systems. Similarly, the European Union's ITS Directive is guiding member nations to modernize road networks through digitalization and interoperability standards. The deployment models of traffic management solutions are also evolving, with a notable shift toward cloud-based systems. Cloud computing facilitates centralized traffic monitoring, scalability, and real-time collaboration between city departments. These solutions are proving cost-effective for cities with limited IT infrastructure, allowing for integration with existing traffic sensors and surveillance systems. While on-premise deployment continues to dominate in regions with legacy infrastructure and high data security concerns, the future growth trajectory is skewing heavily toward cloud-based and hybrid models. From a market segmentation perspective, systems such as Route Guidance & Optimization, Adaptive Traffic Control Systems (ATCS), Urban Traffic Management Systems, and Incident Detection & Location Systems are gaining prominence. Route guidance systems are helping drivers select optimal paths based on live traffic conditions, while ATCS enables traffic signals to self-regulate based on vehicle flow and density. Urban Traffic Management Systems (UTMS) provide centralized oversight across city networks, integrating emergency services, traffic police, and urban planners. Incident detection systems play a vital role in reducing response times to accidents or breakdowns, improving road safety and reducing secondary accidents. Application areas are also broadening, extending beyond roadways to include airports, railways, and toll management infrastructure. Airports are deploying advanced traffic management solutions to streamline vehicular movement in and out of terminals, while smart rail traffic systems are being integrated to reduce waiting times and enhance passenger safety. Toll management systems, utilizing automated payment collection and license plate recognition, are optimizing revenue generation while minimizing traffic delays at toll booths. Scope of the Report Story Continues The report analyses the Traffic Management Market by Value (USD Billion). The report analyses the Traffic Management Market by Region (Americas, Europe, Asia Pacific, Middle East & Africa) and 10 Countries (United States, Canada, Brazil, United Kingdom, France, Germany, Netherlands, China, Japan, and India). The report presents the analysis of Traffic Management Market for the historical period of 2021-2024, the estimated year 2025 and the forecast period of 2026-2031. The report analyses the Traffic Management Market by System Type (Route Guidance & Optimization, Adaptive Traffic Control Systems, Urban Traffic Management Systems, Incident Detection & Location Systems, and Other Management Systems). The report analyses the Traffic Management Market by Deployment Mode (On-Premise, and Cloud-Based). The report analyses the Traffic Management Market by Application (Urban Planning, Highways, Airports & Railway Stations, Toll management, and Smart Cities). The key insights of the report have been presented through the frameworks of SWOT. Also, the attractiveness of the market has been presented by region, by System Type, by Deployment Mode, & by Application. Also, the major opportunities, trends, drivers, and challenges of the industry has been analyzed in the report. The report tracks competitive developments, strategies, mergers and acquisitions and new product development. Analyst Recommendations Invest in Advanced Technologies Strengthen Public-Private Partnerships Competitive Positioning: Companies' Product Positioning, Market Position Matrix, Market Share Analysis of Traffic Management Market Kapsch TrafficCom AG PTV Planung Transport Verkehr GmbH Iteris Inc. Frequentis AG Lytx Siemens Mobility GmbH Cubic Corporation For more information about this report visit https://www.researchandmarkets.com/r/e1ayne About ResearchAndMarkets.com ResearchAndMarkets.com is the world's leading source for international market research reports and market data. We provide you with the latest data on international and regional markets, key industries, the top companies, new products and the latest trends. CONTACT: CONTACT: ResearchAndMarkets.com Laura Wood,Senior Press Manager press@researchandmarkets.com For E.S.T Office Hours Call 1-917-300-0470 For U.S./ CAN Toll Free Call 1-800-526-8630 For GMT Office Hours Call +353-1-416-8900 View Comments |
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| 27.06.25 03:26:00 | Yidu Tech's AI Agents Now Handle 20% of Hospital Tasks: Human-Machine Collaboration Model Showcased at Summer Davos | |
| TIANJIN, China, June 27, 2025 /PRNewswire/ -- From June 24 to 26, the World Economic Forum 2025 Annual Meeting of the New Champions (the 16th Summer Davos Forum) was held in Tianjin. Artificial intelligence, as the new frontier of global economic growth, was one of the hottest topics of this year's forum.Dialogue on the Theme of "AI+ Era" Ms. Gong Rujing (Gong Yingying), Founder and Chairwoman of Yidu Tech, was invited to attend the forum as a representative of the AI healthcare industry and a Young Global Leader. She delivered insightful remarks in the themed dialogue "The AI+ Era", sharing the stage with Dr. Peter Koerte, Member of the Managing Board, Chief Technology Officer and Chief Strategy Officer of Siemens AG; Zhu Min, Senior Fellow at the China Center for International Economic Exchanges and former Deputy Managing Director of the International Monetary Fund; and Kenny Lam, CEO Asia Pacific at Two Sigma. The dialogue was moderated by Azeem Azhar, CEO of Exponential View. Yidu's Healthcare Innovation Practice: From Data Intelligence Infrastructure to AI Clinical Implementation Gong Rujing (Gong Yingying) pointed out that the trend of population aging poses a severe challenge to healthcare systems: "The original intention of founding Yidu Tech ten years ago was based on the foresight that the traditional healthcare supply chain would be unsustainable under the aging peak expected by 2030." She emphasized that the core prerequisite for the implementation of AI in the medical field is to overcome the challenge of unstructured medical data. Over the past ten years, Yidu Tech has invested considerable resources in promoting data standardization governance, making it truly computable and applicable. The company's core algorithm engine, YiduCore, has cumulatively and legally processed and analyzed over 6 billion medical records—this is the foundational resource enabling AI technology to deeply empower healthcare. With the breakthrough progress in large model technology, Yidu Tech's years of medical data governance capabilities are generating exponential value—the company has not only independently developed a large language model in the medical domain but also launched a Clinical-Grade Intelligence Engine "AI Middleware Platform" to drive the construction of smart hospitals, successfully implemented in over 30 well-known top-tier hospitals within three months. "At present, each doctor handles 30 to 100 patient visits per day. The AI Middleware Platform is deeply integrated into the entire diagnosis and treatment process as doctors' 'AI Copilot Station', continuously empowering pre-diagnosis information integration, in-consultation decision support, and post-diagnosis patient management, thereby reducing doctors' burdens." Story Continues In the pre-diagnosis phase, the intelligent pre-consultation system collects patients' chief complaints, medical history, medication information, etc., through natural language interaction, improving the density of valid information. Particularly noteworthy is the intelligent medical record generation function, which can integrate the patient's pre-consultation information, consultation recording, and historical data (examinations/imaging/past records, etc.) with one click to generate a preliminary medical record, significantly reducing doctors' workload. In the in-consultation phase, AI can parse patients' past medical records within seconds, dynamically generate a timeline and trend charts of patients' treatment history to help doctors quickly understand key medical history. AI also comprehensively considers diagnostic data and marks the basis for decisions, effectively supporting clinical decision-making while ensuring scientific rigor and reliability. In the post-diagnosis phase, the AI patient management platform enables data interconnectivity within and outside the hospital. Based on specialized large language models, it provides personalized follow-up, rehabilitation guidance, and medication guidance services to improve patient compliance. "This not only frees up doctors' time but also significantly improves the quality of diagnosis and treatment and patient experience through precision data-driven methods," said Gong Rujing (Gong Yingying). From February to June 2025, the AI diagnosis and treatment assistant built on the AI Middleware Platform assisted doctors in serving a total of 26,000 patients. Human-Machine Collaboration: From Medical Empowerment to Organizational Evolution Gong Rujing (Gong Yingying) believes that current AI development is still in its early stage, and its ultimate form has not yet taken shape. Therefore, Yidu Tech maintains an open mindset and takes "creating real value in end-user scenarios" as the core anchor of its AI strategy. She emphasized: "The key to harnessing AI lies not only in the technology itself but also in achieving deep collaboration between humans and technology." This concept is deeply reflected in Yidu Tech's innovation in medical practice. The pain point of traditional AI healthcare lies in the attempt to use standardized tools to meet the diverse needs of doctors. However, uniformly built models or applications cannot meet the stringent requirements of specialists for professional depth, nor can they flexibly adapt to the specific work scenarios of doctors with different levels of seniority and positions. To solve this contradiction, Yidu Tech launched the "Custom Smart Assistant" function on top of the AI Middle Platform, allowing doctors to independently design intelligent assistants tailored to their unique needs through zero-code, "Lego-style" modular construction. This is a key step for AI in healthcare to move toward deeply contextualized scenarios and marks a shift from the previous "tool-based empowerment" to doctor-led "co-creation of capabilities". AI tools developed by doctors themselves will become a key force in enhancing the accessibility of medical services. At the same time, the concept of human-machine collaboration is also driving the internal organizational evolution of Yidu Tech. "During periods of rapid technological iteration, an organization's learning capacity, resilience to change, and value orientation are more important than a single technological advantage." Gong Rujing (Gong Yingying) actively advocates that the team embrace AI transformation, maintain high adaptability, and form an efficient collaborative working relationship with AI agents. Currently, AI agents have taken on about 20% of Yidu Tech's daily work. This is not only an improvement in efficiency but also a substantive manifestation of the organizational form and work paradigm moving toward "human-machine symbiosis." "Data privacy, cross-institution collaboration, and technological ethics are common challenges faced by AI healthcare development worldwide. However, the large-scale application scenarios of China's healthcare system provide a unique advantage for AI technology iteration." In the global tide of accelerating toward an intelligent era, Gong Rujing (Gong Yingying)'s sharing at the Summer Davos Forum showcased the innovation strength of AI healthcare enterprises and offered a practical path for the industry's development. As "AI + Healthcare" evolves from concept to deep implementation, Yidu Tech will remain grounded in data and empowered by AI, continuously exploring new possibilities and driving the healthcare industry toward greater efficiency, precision, and accessibility.Cision View original content to download multimedia:https://www.prnewswire.com/apac/news-releases/yidu-techs-ai-agents-now-handle-20-of-hospital-tasks-human-machine-collaboration-model-showcased-at-summer-davos-302492995.html SOURCE Yidu Tech View Comments |
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| 25.06.25 14:30:00 | Siemens to optimize and consolidate manufacturing capacities of Peterborough and Concord, Ontario facilities to set up for future growth | |
| Measures are part of capacity adjustments announced by Siemens globally Production in Peterborough will be optimized and consolidated with manufacturing at existing Concord facility Focus on strengthening long-term competitiveness, local and global supply chains while continuing to provide market with made-in-Canada products PETERBOROUGH, ON, June 25, 2025 /CNW/ - In November 2024 and March 2025, the Managing Board of Siemens AG announced capacity adjustments to increase its global competitiveness and enable investments in growth markets for its automation business. The adjustments span different functions and regions and include changes in Siemens Canada's industry business. The decision has been made to optimize and consolidate the manufacturing capacities of two Siemens factories within its Digital Industries business in Canada, currently located in Peterborough, Ontario and Concord, Ontario. The implementation of the measures will begin immediately and will be completed by September 2027. During the two-year transition, Siemens Canada will wind down manufacturing at its Peterborough factory. The manufacturing of Measurement Intelligence technologies currently located in Peterborough will move into an existing Siemens facility in Concord that manufactures the company's RuggedCom portfolio of industrial grade communications equipment. The optimization and consolidation are estimated to impact approximately 160 manufacturing positions in Peterborough. The Measurement Intelligence business roles such as product management, and research and development teams, are planned to remain in Peterborough as part of a global business line team. To facilitate the production of Measurement Intelligence product lines being transferred to Concord, approximately 70 new manufacturing positions are estimated to be created. Siemens will continue manufacturing communication systems in Concord. During the two-year transition, Siemens will ensure business continuity for its customers. These actions are necessary for Siemens' industrial automation business to become more competitive in a challenging market environment with increased competitive pressures. The optimization and consolidation help to position the Canadian operations for growth by allowing for more synergies across its local and global supply chains and enabling the organization to respond more quickly to customer and market demands. Siemens is proud to serve local and global markets with Canadian-made products and is committed to investing in Canada, as announced recently in areas such as battery and manufacturing. Story Continues Siemens understands the impact this action has on employees and the local Peterborough community, and the company is dedicated to managing this process with transparency and respect. Siemens is committed to supporting employees who are affected and will implement a comprehensive support program to assist employees during this period of change. Siemens in Canada has been consistently growing over the past years, employing approximately 4,400 people and currently has approximately 100 open positions to be filled. About Siemens Canada Siemens Canada is a leading technology company focused on industry, infrastructure, mobility and healthcare. The company's purpose is to create technology with purpose, transforming the everyday, for everyone, since 1912. By combining the real and the digital worlds, Siemens empowers its customers to accelerate their digital and sustainability transformations, making factories more efficient, cities more liveable, and transportation more sustainable. A leader in industrial AI, Siemens leverages its deep domain know-how to apply AI – including generative AI – to real-world applications, making AI accessible and impactful for customers across diverse industries. Siemens also owns a majority stake in the publicly listed company Siemens Healthineers, a leading global medical technology provider pioneering breakthroughs in healthcare. For everyone. Everywhere. Sustainably. In fiscal 2024, which ended September 30, 2024, Siemens Canada had revenues of approx. $2.2 billion CAD. The company has approximately 4,400 employees from coast-to-coast and 37 office and production facilities across Canada. Further information is available at www.siemens.ca. SOURCE Siemens CanadaCision View original content: http://www.newswire.ca/en/releases/archive/June2025/25/c7046.html View Comments |
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| 24.06.25 07:00:00 | Realtime Robotics Launches Visual Components and MELSOFT Gemini Integrations for Resolver | |
| Realtime’s Industrial Automation Decision Engine Brings Speed, Precision, and Confidence to Robotics Deployments BOSTON & MUNICH, June 24, 2025--(BUSINESS WIRE)--Automatica 2025 - Realtime Robotics, the leader in automated collision-free motion planning, control, and optimization, today announced the release of two new direct integrations for Resolver, its cloud-based solution that dramatically accelerates the design and deployment of robotic workcells. Users of Visual Components or Mitsubishi Electric’s MELSOFT Gemini 3D manufacturing simulation software can now utilize Resolver’s powerful industrial AI without having to leave their preferred environment. These new integrations join the existing integration with Siemens Process Simulate, which was available at launch. Realtime will be highlighting these new Resolver integrations, as well as a full, interactive demo of Resolver, at Automatica 2025, taking place from June 24-27, 2025 in Munich, Germany. Realtime can be found in Hall B6, booth 301. Realtime Robotics’ Resolver is a cloud-based optimization engine that automates the most time- and labor-intensive parts of robotic workcell design; namely, path planning, task allocation, sequencing, and layout validation. Whether engineering a brand new production line or upgrading a single robotic workcell, Resolver empowers users to achieve superhuman cycle times - resulting in faster builds, fewer errors, and validated designs in mere minutes. The longer Resolver runs, the more options it provides, shortening the cycle time until the desired outcome is reached. "Since launching Resolver commercially last month - following six months of intensive collaboration with automotive OEMs and their line builders and integrators across the U.S., EU, Japan, and China - we’ve seen momentum accelerate rapidly," said Peter Howard, CEO, Realtime Robotics. "Two OEMs are already citing Resolver in their requests for proposal, while others are already using it as part of their internal standard workflows. This rapid acceptance is based on the consistent 15 to 40% cycle time improvements users are enjoying." Partnership With Visual Components The launch of the Visual Components integration with Resolver is part of Realtime Robotics’ larger partnership with Visual Components. Known as "the fastest way from concept to reality," Visual Components has built its reputation on intuitive, collaborative 3D simulation and robot offline-programming tools, backed by an expansive library of over 3,500 components and 1,600 robot models. On top of that strong foundation, there is growing traction for more complex use cases, such as large-scale automotive spot‑welding cells. Combined with Resolver, Visual Components can now be used to solve cells of any complexity and size, and at remarkable speed. Story Continues To support customers tackling these ambitious projects, Realtime Robotics is offering a joint trial: get one month of Visual Components robot offline programming (OLP) software free when exploring the Resolver sandbox. To sign up for a free trial of Resolver, click here. To request the extended trial of Visual Components, click here and just mention "Realtime Robotics" and "Resolver" in the "How We Can Help" section to receive the extended, four week trial. For more information on each integration, please see the official Realtime Robotics documentation for each below: Siemens Process Simulate Visual Components Mitsubishi Electric MELSOFT Gemini About Realtime Robotics Realtime Robotics is the leader in automated collision-free motion planning, control, and optimization for industrial robots. The company’s revolutionary technology dramatically accelerates the design and deployment of robotic workcells by solving for cycle-time optimized motions, interlocks, multi-robot coordination, real-time object detection and reaction, and robot task allocation. For more information, please visit our website, see our technology in action here, and follow us on X and LinkedIn. View source version on businesswire.com: https://www.businesswire.com/news/home/20250624959755/en/ Contacts For More Information Jeff Drew Public Relations, Realtime Robotics P: +1.617.233.5109 E: jeffreydrew@rtr.ai View Comments |
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| 23.06.25 16:38:00 | PhysicsX Raises $135M Series B to Usher in a New Era of AI-Native Engineering and Manufacturing | |
| PhysicsX PhysicsX Founder & Chairman, Robin Tuluie, and CEO & Co-Founder, Jacomo CorboPhysicsX announces $135M Series B. LONDON, June 23, 2025 (GLOBE NEWSWIRE) -- PhysicsX, a London-headquartered company accelerating industrial innovation with AI, announced today that it has raised $135 million as part of its Series B financing. The round was led by Atomico, with participation from Temasek, Siemens, Applied Materials, July Fund, and continued support from existing investors including General Catalyst, NGP, Radius Capital, Standard Investments, and Allen & Co. The capital raised will accelerate the company’s global growth and the industrial adoption of its enterprise software platform across aerospace & defense, automotive, semiconductors, materials, and energy. Cofounded by Robin Tuluie, formerly Head of R&D at Renault (Alpine) F1 and Mercedes F1 and Vehicle Technology Director at Bentley Motors, and Jacomo Corbo, formerly Chief Scientist and Co-Founder of QuantumBlack (AI by McKinsey) and Chief Race Strategist at Renault (Alpine) F1, PhysicsX is building a new engineering software stack to bring deep AI enablement to the whole engineering lifecycle. Its mission: to equip advanced manufacturing organizations in critical industries with the tools to solve their hardest challenges at a radically accelerated pace. Why Now: A Transformative Moment for Engineering Engineering is at an inflection point. Innovation in advanced manufacturing has never been more urgent or more consequential. These industries underpin our economies, are central to the sustainability transition, and sit at the heart of today’s sovereignty challenges. They are also held back by resource and skills bottlenecks and struggle to keep pace with the increasing complexity and speed of change. PhysicsX is building into this gap with the conviction that AI-native engineering software can solve many of the most fundamental challenges inherent to hardware innovation. “This round reflects the importance and the needs of the industries that we’re building into,” said Jacomo Corbo, CEO & Co-Founder of PhysicsX. “The tectonic plates of the global economy are being reshaped by industrial manufacturing. Geopolitical currents and the questions of sovereignty and supply chain resilience are most strongly felt here. At the same time, innovation within these fields has never been more urgent. We’re building into that unmet need and bringing new software and AI capabilities to fundamentally overhaul what engineering looks like today and transform how hardware innovation is executed.” Story Continues "PhysicsX is unlocking a new engineering paradigm. They’re not just shortening design cycles, lowering costs, and accelerating innovation: they’re empowering engineers to solve problems that were previously beyond human intuition. By fusing frontier AI research with deep industrial expertise, the team is building transformative tools for the sectors that underpin the global economy. We’re proud to lead this investment and support PhysicsX in shaping the future of software-defined engineering,” said Laura Connell, Partner at Atomico. "PhysicsX is a developer-first AI platform that redefines what's possible for engineers. Since our investment nearly 2 years ago, PhysicsX has significantly scaled their team and solutions to help the world’s advanced industries better design, build and operate their most critical and complex systems," said Paul Kwan, Managing Director at General Catalyst. Trusted by Advanced Manufacturing Companies PhysicsX’s technology is already embedded in the workflows of some of the world’s most sophisticated engineering and manufacturing organizations, solving high-stakes, real-world problems in the most demanding environments. "The convergence of industrial expertise and AI capabilities is unleashing extraordinary potential to revolutionize how we design, simulate, and manufacture. Our strategic investment in PhysicsX builds on our successful collaboration in developing AI-based deep physics simulations and underscores our conviction in their ability to accelerate industrial innovation," said Peter Koerte, Member of the Managing Board, Chief Technology Officer and Chief Strategy Officer at Siemens. "PhysicsX, with its strong European roots, can drive global transformation in industrial AI while building on Europe's industrial strength and world-class AI talent pool to create solutions that will define the future of manufacturing, particularly in mission-critical applications where performance and reliability are paramount. This aligns perfectly with Siemens' vision of trustworthy, industrial-grade AI that delivers real-world impact." Since its Series A in November 2023, PhysicsX has scaled rapidly, growing to a team of over 150 and more than quadrupling revenue. The new $135 million investment brings total funding to nearly $170 million and will enable PhysicsX to aggressively pursue global expansion and fast-track the development of larger, more powerful physics foundation models. About PhysicsX PhysicsX is a physical AI company on a mission to accelerate innovation and overhaul what engineering and manufacturing look like today. The company is building a new software stack to deliver deep AI enablement across the entire engineering lifecycle. PhysicsX partners with leading organizations in aerospace & defense, automotive, semiconductors, materials, and energy, supporting them on some of their most critical and complex challenges. For press inquiries: press@physicsx.ai. A photo accompanying this announcement is available at https://www.globenewswire.com/NewsRoom/AttachmentNg/d93b033d-b9dc-44de-b461-ad2f93044894 View Comments |
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| 23.06.25 13:00:00 | Siemens turbocharges semiconductor and PCB design portfolio with generative and agentic AI | |
| Siemens adds AI capabilities across EDA portfolio, enhancing productivity, accelerating innovation and speeding time-to-market New AI system enables EDA engineers to leverage AI securely within established EDA environments Increased access to generative and agentic AI with NVIDIA NIM microservices and NVIDIA Nemotron models accelerates system-on-a-chip (SoC) and chip design flows, PCB systems design and verification SAN FRANCISCO, June 23, 2025 /PRNewswire/ -- At the 2025 Design Automation Conference, Siemens Digital Industries Software today unveiled its AI-enhanced toolset for the EDA design flow. Throughout the event, Siemens is showcasing how artificial intelligence (AI) can improve productivity, accelerate time to market for the EDA industry and enable customers to explore innovation opportunities at the rapidly increasing pace that the market demands.At the 2025 Design Automation Conference, Siemens Digital Industries Software today unveiled its AI-enhanced toolset for the EDA design flow. Siemens is demonstrating a new EDA AI system specifically designed for semiconductor and PCB design environments. The purpose-built EDA AI system delivers secure, advanced generative and agentic AI capabilities, offering unparalleled customization capabilities and seamless integration across the entire EDA workflow. "We are strategically investing in developing sophisticated industrial-grade AI solutions purpose-built for the unique complexities of EDA. This accumulated expertise forms the technological foundation that empowers our customers to bring breakthrough semiconductor and PCB designs to market faster than ever before," said Mike Ellow, CEO, Siemens EDA, Siemens Digital Industries Software. "Siemens is set to revolutionize the way design teams operate, ushering in a future where generative and agentic AI capabilities are seamlessly integrated into every aspect of the EDA workflow." Delivering openness, security and customizability across the entire EDA workflow Using the new EDA AI System, customers can integrate their own EDA data and create custom workflows using advanced AI, enabling teams to deploy AI where it adds the most value - enhancing adoption and competitiveness without disrupting workflows. With enterprise-grade security, customizable access control and flexible deployment options (on-premises or cloud), Siemens delivers data protection completely within customers' secure data centers. Additionally, it provides a strong data flywheel effect using a centralized multimodal data lake that boosts productivity through each interaction while supporting various AI models, including large and small language models, and machine and reinforcement learning. Story Continues Leveraging NVIDIA AI technologies to further accelerate EDA workflows In addition to in-house infrastructure and third-party models, Siemens' EDA AI system also supports NVIDIA NIM microservices and NVIDIA Llama Nemotron models. NVIDIA NIM enables the scalable deployment of inference-ready models across cloud and on-premises environments, supporting real-time tool orchestration and multi-agent systems. Llama Nemotron adds high context reasoning and robust tool-calling for more intelligent automation across the EDA workflow. "AI agents can dramatically boost productivity for complex electronic design automation to support engineers across layout optimization, simulation and verification, freeing engineers to focus on creative problem-solving and advanced design challenges," said Tim Costa, senior director of CAE and CUDA-X at NVIDIA. "With NVIDIA NIM microservices and Llama Nemotron reasoning models, Siemens EDA can speed the development of tomorrow's most intricate electronic systems." Enabling AI capabilities across the Siemens EDA portfolio Aprisa™ AI software: Aprisa AI is a fully integrated technology in the Aprisa digital implementation solution, enabling next-generation AI features and methodologies across RTL-to-GDS. Its capabilities include AI design exploration that adaptively optimizes for power / performance / area (PPA) for a given design, as well as integrated generative AI-assist, delivering ready-to-run examples and solutions. With a natural language interface built-in together with production-ready, fully customizable and transportable AI-generated solutions, Aprisa AI delivers 10x productivity, 3x faster time to tapeout and 10 percent better PPA for digital designs across all process technologies, enabling massive engineering team and compute scalability, while accelerating time-to-market for the next generation of silicon designs. To learn more about Aprisa AI please visit: https://siemens.com/aprisa-ai Calibre® Vision AI software: Calibre Vision AI offers a revolutionary advance in chip integration signoff by helping design teams identify and fix critical design violations in half the time of existing methods by instantly loading and organizing them into intelligent clusters. Designers can then prioritize their activity based on this clustering and achieve a higher level of productivity. Calibre Vision AI also improves efficiency in the workflow with the addition of "bookmarks" that allow designers to capture current analysis state, including notes and assignments, and then foster enhanced collaboration between chip integrators and block owners during physical verification. Calibre Vision AI is integrated into existing layout viewers and physical design tools to enable engineers to debug in their current implantation environment. To learn more about Calibre Vision AI, visit: https://eda.sw.siemens.com/en-US/ic/calibre-design/interfaces/vision-ai/ Solido™ generative and agentic AI: Solido now harnesses Siemens' EDA AI system to deliver advanced generative and agentic AI capabilities throughout the Solido Custom IC platform to transform next generation design and verification. Tailored to each phase of the custom IC development process, including schematic capture, simulation, variation-aware design and verification, library characterization, layout and IP validation, Solido's new generative and agentic AI empowers engineering teams to achieve orders-of-magnitude productivity gains. To learn more about these advanced AI capabilities, visit: https://eda.sw.siemens.com/en-US/ic/solido/solido-generative-agentic-ai/ Availability Siemens' EDA AI system is currently available for early access across the Siemens EDA portfolio. To learn more about how customers can leverage Siemens' EDA AI portfolio of solutions to transform today's design challenges into tomorrow's innovations, visit: https://eda.sw.siemens.com/en-US/trending-technologies/eda-ai-page/ Siemens Digital Industries Software helps organizations of all sizes digitally transform using software, hardware and services from the Siemens Xcelerator business platform. Siemens' software and the comprehensive digital twin enable companies to optimize their design, engineering and manufacturing processes to turn today's ideas into the sustainable products of the future. From chips to entire systems, from product to process, across all industries.Siemens Digital IndustriesSoftware– Accelerating transformation. Siemens Digital Industries (DI) empowers companies of all sizes within the process and discrete manufacturing industries to accelerate their digital and sustainability transformation across the entire value chain. Siemens' cuttingedge automation and software portfolio revolutionizes the design, realization and optimization of products and production. And with Siemens Xcelerator – the open digital business platform – this process is made even easier, faster, and scalable. Together with our partners and ecosystem, Siemens Digital Industries enables customers to become a sustainable Digital Enterprise. Siemens Digital Industries has a workforce of around 70,000 people worldwide. Siemens AG (Berlin and Munich) is a leading technology company focused on industry, infrastructure, mobility, and healthcare. The company's purpose is to create technology to transform the everyday, for everyone. By combining the real and the digital worlds, Siemens empowers customers to accelerate their digital and sustainability transformations, making factories more efficient, cities more livable, and transportation more sustainable. A leader in industrial AI, Siemens leverages its deep domain know-how to apply AI – including generative AI – to real-world applications, making AI accessible and impactful for customers across diverse industries. Siemens also owns a majority stake in the publicly listed company Siemens Healthineers, a leading global medical technology provider pioneering breakthroughs in healthcare. For everyone. Everywhere. Sustainably. In fiscal 2024, which ended on September 30, 2024, the Siemens Group generated revenue of €75.9 billion and net income of €9.0 billion. As of September 30, 2024, the company employed around 312,000 people worldwide on the basis of continuing operations. Further information is available on the Internet at www.siemens.com. Note: A list of relevant Siemens trademarks can be found here. Other trademarks belong to their respective owners. This document contains statements related to our future business and financial performance and future events or developments involving Siemens that may constitute forward-looking statements. These statements may be identified by words such as "expects," "looks forward to," "anticipates," "intends," "plans," "believes," "seeks," "estimates,"Siemens Logo (PRNewsfoto/Siemens) (PRNewsfoto/Siemens)Cision View original content to download multimedia:https://www.prnewswire.com/news-releases/siemens-turbocharges-semiconductor-and-pcb-design-portfolio-with-generative-and-agentic-ai-302488070.html SOURCE Siemens Industry Software View Comments |
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| 19.06.25 14:15:00 | Battery Simulation Software Market worth $4.19 billion by 2030- Exclusive Report by MarketsandMarkets™ | |
| DELRAY BEACH, Fla., June 19, 2025 /PRNewswire/ -- The global Battery Simulation Software Market size is projected to grow from USD 2.22 billion in 2025 to USD 4.19 billion by 2030 at a Compound Annual Growth Rate (CAGR) of 13.6% during the forecast period, according to a new report by MarketsandMarkets™.MarketsandMarkets Logo (PRNewsfoto/MarketsandMarkets) (PRNewsfoto/MarketsandMarkets) Browse in-depth TOC on "Battery Simulation Software Market" 350 – Tables 50 - Figures 300 – Pages Download PDF Brochure @ https://www.marketsandmarkets.com/pdfdownloadNew.asp?id=94545804 Scope Of the Report Report Metrics Details Market size available for the years 2023–2030 Base year considered 2024 Forecast period 2025–2030 Forecast units Value (USD Billion) Segments covered By simulation type, battery type, end-use industry, and region Geographies covered North America, Europe, Asia Pacific, and Rest of the World Companies covered Major vendors in the Battery Simulation Software Market include Ansys (US), Siemens (Germany), Altair Engineering (US), MathWorks (US), Dassault Systemes (France), AVL (Austria), ESI Group (France), Ricardo (UK), Intertek (UK), Hexagon (Sweden), Synopsys (US), COMSOL (US), dSPACE (Germany), Gamma Technologies (US), OpenCFD Ltd (UK), PyBaMM (US), Oorja (India), SimScale (Germany), TWAICE (Germany), Ionworks (US), Batemo (Germany), Maplesoft (Canada), FlexSim (US), Ridgetop (US), and ThermoAnalytics (US). Technology trends continue to improve the market for battery simulation software. Launching new tools such as PNNL's EZBattery Model and Twaice's sodium-ion aging model allows battery designers to develop batteries more accurately in less time. This advancement is aided by strategic investments in Gamma Technologies by Insight Partners, which have enabled the development of multi-physics platforms such as GT-SUITE and GT-AutoLion. These techniques allow battery and car makers to estimate performance, safety, and deterioration better. Innovation and financial investment boost the simulation ecosystem, expand software capabilities, and extend its relevance across various battery applications. Request Sample Pages@https://www.marketsandmarkets.com/requestsampleNew.asp?id=94545804 The solid-state batteries segment will account for the largest market share during the forecast period based. Solid-state battery technology leads the battery modeling software market because of its prospect for next-generation energy storage applications. These batteries contain solid electrolytes, which provide higher energy density, safety, and quicker charging. However, their complicated behavior need comprehensive modeling for optimization. Engineers use simulation tools to build batteries that are safer and more efficient. As commercialization efforts ramp up, simulation-driven R&D is critical for advancing solid-state battery adoption and retaining their supremacy in the simulation software industry. Story Continues EV manufacturers will account for the largest market share during the forecast period. Electric vehicle (EV) manufacturers dominate the Battery Simulation Software Market due to their use of advanced modeling tools to optimize battery design, performance, and safety. These companies, including Tesla, Rivian, Ford, and Volkswagen, invest in simulation to ensure battery pack optimization and reliability in various conditions. As EV adoption grows globally, manufacturers are increasingly relying on simulation software to meet regulatory mandates quickly, resulting in safer and more efficient vehicles. This trend is expected to drive continued investment in battery simulation tools and promote their widespread adoption across the automotive sector. Inquire Before Buying@https://www.marketsandmarkets.com/Enquiry_Before_BuyingNew.asp?id=94545804 Asia Pacific will grow at the highest CAGR during the forecast period. The Asia Pacific region is surging ahead of the rest of the world in terms of the growth of the Battery Simulation Software Market. This is due to significant government support, rapid development of EV vehicles, and technological innovation. The government in this region is making substantial investments toward clean energy programs and electric mobility, which is resulting in a significant uptick in demand for battery simulation tools to improve performance, safety, and manufacturing efficiency. The combination of artificial intelligence and the integration of quantum computers' capabilities allows battery design with greater precision and enhanced speed, enabling faster product development cycles with reduced cost. The region benefits significantly from active collaboration between academia and industry, sustaining new product development and innovations in battery chemistry and system integration. These factors together will allow the Asia Pacific region to become a significant development hub for simulation-based battery optimization and sustainable energy storage solutions. Top Key Companies in Battery Simulation Software Market: Ansys (US), Siemens (Germany), Altair Engineering (US), MathWorks (US), Dassault Systemes (France), AVL (Austria), ESI Group (France), Ricardo (UK), Intertek (UK), Hexagon (Sweden), Synopsys (US), COMSOL (US), dSPACE (Germany), Gamma Technologies (US), OpenCFD Ltd (UK), PyBaMM (US), Oorja (India), SimScale (Germany), TWAICE (Germany), Ionworks (US), Batemo (Germany), Maplesoft (Canada), FlexSim (US), Ridgetop (US), and ThermoAnalytics (US) are some of the key players and other players in the Battery Simulation Software Market. Browse Adjacent Markets: Software and Services Market Research Reports & Consulting Related Reports: Loyalty Management Market - Global Forecast to 2030 Smart Warehousing Market - Global Forecast to 2030 Application Lifecycle Management Market - Global Forecast to 2029 Insurance Platform Market- Global Forecast to 2030 Embedded Finance Market- Global Forecast to 2029 Get access to the latest updates on Battery Simulation Software Companiesand Battery Simulation Software Industry About MarketsandMarkets™ MarketsandMarkets™ has been recognized as one of America's Best Management Consulting Firms by Forbes, as per their recent report. MarketsandMarkets™ is a blue ocean alternative in growth consulting and program management, leveraging a man-machine offering to drive supernormal growth for progressive organizations in the B2B space. With the widest lens on emerging technologies, we are proficient in co-creating supernormal growth for clients across the globe. Today, 80% of Fortune 2000 companies rely on MarketsandMarkets, and 90 of the top 100 companies in each sector trust us to accelerate their revenue growth. With a global clientele of over 13,000 organizations, we help businesses thrive in a disruptive ecosystem. The B2B economy is witnessing the emergence of $25 trillion in new revenue streams that are replacing existing ones within this decade. We work with clients on growth programs, helping them monetize this $25 trillion opportunity through our service lines – TAM Expansion, Go-to-Market (GTM) Strategy to Execution, Market Share Gain, Account Enablement, and Thought Leadership Marketing. Built on the 'GIVE Growth' principle, we collaborate with several Forbes Global 2000 B2B companies to keep them future-ready. Our insights and strategies are powered by industry experts, cutting-edge AI, and our Market Intelligence Cloud, KnowledgeStore™, which integrates research and provides ecosystem-wide visibility into revenue shifts. To find out more, visit www.MarketsandMarkets™.com or follow us on Twitter , LinkedIn and Facebook . Contact: Mr. Rohan Salgarkar MarketsandMarkets™ INC. 1615 South Congress Ave. Suite 103, Delray Beach, FL 33445 USA: +1-888-600-6441 Email: sales@marketsandmarkets.com Visit Our Website: https://www.marketsandmarkets.com/ Logo: https://mma.prnewswire.com/media/1868219/MarketsandMarkets_Logo.jpgCision View original content to download multimedia:https://www.prnewswire.com/news-releases/battery-simulation-software-market-worth-4-19-billion-by-2030--exclusive-report-by-marketsandmarkets-302486202.html SOURCE MarketsandMarkets View Comments |
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| 22.04.25 08:37:46 | Investors in Siemens (ETR:SIE) have seen splendid returns of 180% over the past five years |  |
| It might be of some concern to shareholders to see the Siemens Aktiengesellschaft (ETR:SIE) share price down 18% in the last month. But that scarcely detracts from the really solid long term returns generated by the company over five years. We think most investors would be happy with the 120% return, over that period. So while it's never fun to see a share price fall, it's important to look at a longer time horizon. Ultimately business performance will determine whether the stock price continues the positive long term trend. So let's assess the underlying fundamentals over the last 5 years and see if they've moved in lock-step with shareholder returns. AI is about to change healthcare. These 20 stocks are working on everything from early diagnostics to drug discovery. The best part - they are all under $10bn in marketcap - there is still time to get in early. While markets are a powerful pricing mechanism, share prices reflect investor sentiment, not just underlying business performance. One flawed but reasonable way to assess how sentiment around a company has changed is to compare the earnings per share (EPS) with the share price. Over half a decade, Siemens managed to grow its earnings per share at 9.7% a year. This EPS growth is lower than the 17% average annual increase in the share price. So it's fair to assume the market has a higher opinion of the business than it did five years ago. That's not necessarily surprising considering the five-year track record of earnings growth. You can see how EPS has changed over time in the image below (click on the chart to see the exact values).XTRA:SIE Earnings Per Share Growth April 22nd 2025 Before buying or selling a stock, we always recommend a close examination of historic growth trends, available here. What About Dividends? When looking at investment returns, it is important to consider the difference between total shareholder return (TSR) and share price return. The TSR is a return calculation that accounts for the value of cash dividends (assuming that any dividend received was reinvested) and the calculated value of any discounted capital raisings and spin-offs. So for companies that pay a generous dividend, the TSR is often a lot higher than the share price return. We note that for Siemens the TSR over the last 5 years was 180%, which is better than the share price return mentioned above. And there's no prize for guessing that the dividend payments largely explain the divergence! A Different Perspective Siemens shareholders gained a total return of 9.2% during the year. But that return falls short of the market. If we look back over five years, the returns are even better, coming in at 23% per year for five years. It's quite possible the business continues to execute with prowess, even as the share price gains are slowing. While it is well worth considering the different impacts that market conditions can have on the share price, there are other factors that are even more important. For instance, we've identified 1 warning sign for Siemens that you should be aware of. Story Continues Of course Siemens may not be the best stock to buy. So you may wish to see this freecollection of growth stocks. Please note, the market returns quoted in this article reflect the market weighted average returns of stocks that currently trade on German exchanges. Have feedback on this article? Concerned about the content?Get in touch with us directly. Alternatively, email editorial-team (at) simplywallst.com. This article by Simply Wall St is general in nature. We provide commentary based on historical data and analyst forecasts only using an unbiased methodology and our articles are not intended to be financial advice. It does not constitute a recommendation to buy or sell any stock, and does not take account of your objectives, or your financial situation. We aim to bring you long-term focused analysis driven by fundamental data. Note that our analysis may not factor in the latest price-sensitive company announcements or qualitative material. Simply Wall St has no position in any stocks mentioned. View Comments |
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| 21.04.25 12:46:02 | Siemens targets battery breakthroughs in $150M bet on Canadian ecosystem | |
| A Siemens battery research hub will focus on reducing scrap, along with other key manufacturing benchmarks, such as product consistency, quality and workforce efficiency. Industrial giant Siemens plans to tap into Canadian battery research talent and the country’s nascent electric vehicle ecosystem to improve how batteries are designed and manufactured. The company committed $150 million on March 31 to establish its global R&D hub for battery production in Canada. The money will be spent over five years, beginning with investments in staff, equipment and software at both Siemens’ Canadian headquarters in Oakville, Ont., and in nearby Kitchener-Waterloo. While Siemens isn’t in the business of building batteries, it can provide the industrial know-how to perfect the process, said Joris Myny, senior vice-president of digital industries at Siemens Canada. Sign up for Automotive News Canada Breaking Alerts and be the first to know when big news breaks in the Canadian auto industry. Global battery makers have generally pursued production improvements through trial and error, but as the battery and EV markets go mainstream, a more thoughtful approach to optimization is needed, he told Automotive News Canada. “We have entered the mass serial production of batteries and there are certain criteria that have to be met to produce in [a] profitable way, and that requires data processing using artificial intelligence.” Myny pointed to high scrap rates at battery manufacturing plants, an issue that results in added costs from wasted product, as one example. “Getting those scrap rates under control is a matter of life and death for those companies. Quality consistency is a must-have in serial production. It has to be right every time.” Siemens battery research hub will focus on reducing scrap, along with other key manufacturing benchmarks, such as product consistency, quality and workforce efficiency. Advances in all these areas require thorough preproduction simulation, data collection on the shop floor and the use of artificial intelligence to drive process improvements — all areas Siemens is equipped to lend assistance, Myny said. Canada beat other regions in bid to host Siemens hub Germany, the United States and Asia were in the running to host the Siemens battery R&D centre, Myny said, but several attributes “tilted the decision towards Canada.” The country’s strong foundation of university-based battery researchers and crop of skilled students were “really, really important factors,” Myny said. The country’s growing battery ecosystem anchored by several big-name investors, federal and provincial government commitments to the industry and Canada’s ability to produce batteries using clean power were a few of the other differentiators, he added. Story Continues Canada has racked up tens of billions of dollars in battery and EV supply chain investment over the past four years, with Ontario as the lead actor. While Siemens will begin building out its R&D hub in Canada’s traditional automotive nerve centre, Quebec is creating a similar battery ecosystem, making it a likely location for expansion as research expands, Myny said. The German company’s investment is expected to create at least 90 jobs in Ontario, according to the provincial government, which has backed the project with $7.2 million through the Invest Ontario Fund. The federal government will also contribute to the Siemens battery R&D hub, but talks are ongoing about the level of support, according to Innovation, Science and Industry Canada. View Comments |
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| 12.04.25 02:09:00 | Spanish Siemens Couple Killed Alongside Children in Hudson River Helicopter Crash | |
| Agustín Escobar and Mercè Camprubí Montal died with their three children when the helicopter taking them on a sightseeing tour plunged into the river. Continue Reading View Comments |
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