Latest news with #digitaltwin
Fast Company
4 days ago
- Business
- Fast Company
The mirror world of retail: Why digital twins are becoming the CFO's best friend and the CEO's newest weapon
The boardroom no longer needs a crystal ball—it needs a digital twin. Once the domain of aerospace engineers and industrial automation purists, digital twin technology has now taken a central seat at the retail and CPG leadership table—and not just as a proof-of-concept for innovation theater. We're talking about real-time, AI-enabled, multi-threaded simulations of products, supply chains, shopper behaviors, stores, and yes, even executive decisions. What we're witnessing is the operationalization of synthetic foresight at scale. In capital markets, we call this 'Monte Carlo simulation meets real-world telemetry.' In retail, we call it a miracle. And unlike your average miracle, this one throws off free cash flow. Digital twins—AI- and IoT-powered virtual replicas of physical assets—are no longer niche. They are becoming enterprise-grade strategy platforms. In their highest form, they operate at four levels of organizational intelligence: Sensing: real-time telemetry and data capture Simulating: AI-trained models predicting future states Orchestrating: dynamic recommendations across workflows Autonomizing: closed-loop feedback systems optimizing operations without human intervention. Think of this as the digital equivalent of Ray Dalio's economic flywheel—except it's running a grocery chain instead of a hedge fund. Walmart and Alibaba are virtualizing everything from last-mile logistics to in-store merchandising. Walmart has created twins for over 1,700 stores using NVIDIA's Omniverse platform. These environments simulate shelf layouts, customer traffic patterns, and even peak-hour checkout chaos with alarming granularity. That's the power of behavioral AI when fused with spatial simulation and historical POS data. Meanwhile, has deployed full-fleet supply chain twins across China that are able to reroute deliveries in sub-seconds based on everything from traffic density to typhoon warnings. Welcome to prescriptive commerce, where algorithms now make decisions logistics managers used to lose sleep over. CAPITAL ALLOCATION IN THE AGE OF SYNTHETIC CONFIDENCE CFOs, pay attention. This is not another tech pitch with fancy UX. Digital twins are the most capital-efficient diagnostic system since GAAP was invented. The ability to simulate ROI on a capital-intensive project before breaking ground isn't innovation—it's discipline. Considering a new $400M automated fulfillment center? Model its 5-year EBITDA impact across 13 demand scenarios before approving the land lease. Debating curbside expansion in tier-2 cities? Simulate customer conversion, labor capacity, weather volatility, and gas price elasticity in three markets overnight. These aren't hypotheticals—they're being executed at the operating committee level by some of the world's largest CPGs. Colgate-Palmolive is now testing product concepts on digital twins of their target consumers—accelerating innovation while compressing failure cycles to near zero. Instead of launching products and praying, they're simulating and scaling with statistical conviction. And let's be honest: A digital twin never calls in sick and never needs lunch. It's the COO you always wanted, only cheaper, faster, and infinitely more polite. With digital twins modeling replenishment across thousands of store locations in real time, inventory buffers can be trimmed, spoilage minimized, and shelf gaps preemptively resolved. This is why Walmart and Alibaba are investing heavily in dynamic twins that interface directly with planogram systems and shelf-edge sensors. Energy And Facility Efficiency Store-level twins integrated with HVAC telemetry and smart lighting systems can simulate energy usage curves based on expected footfall, weather conditions, and promotional calendars. That translates to millions in avoided cost and improved ESG scores. Disruption Readiness Want to know what happens when a port in Vietnam goes offline for two weeks? Or if a weather event shutters 150 stores? Digital twins help simulate multi-nodal disruptions across SKUs, distribution centers, suppliers, and transport lanes—turning chaos into code. In macroeconomic terms, the integration of digital twins across retailers and CPGs represents a structural increase in sectoral productivity. At scale, it reshapes cost curves and elasticity models, making it not just a technology story, but a market-wide efficiency story. THE BEHAVIORAL TWIN: PREDICTIVE COMMERCE GETS PERSONAL The most overlooked (and potentially most explosive) use of digital twins is consumer simulation. Imagine creating AI-powered avatars of your customer segments—trained on real transaction data, mobility trends, social sentiment, and even weather preferences. These behavioral twins let you simulate promotions, store layouts, ad campaigns, and even influencer partnerships—before you spend a single dollar. If it sounds like science fiction, it's not. It's already happening inside Amazon's Just Walk Out architecture, where customer paths are modeled and optimized every day. It's in Walmart's dynamic pricing engine. And it's where AI meets behavioral economics in ways that make Kahneman and Tversky nod from the great sandbox in the sky. The holy grail? Tying the behavioral twin to the operational twin, so that every forecast, layout change, or assortment update is simulated not just for cost, but for human impact. WHAT IT MEANS FOR THE C-SUITE: EMBRACE THE SYNTHETIC, MASTER THE REAL The CEOs and CFOs of tomorrow won't just read dashboards. They'll run multi-threaded scenarios across enterprise twins, co-develop strategic options with AI copilots, and use simulation-based KPIs as a second language. Your board decks? Already being generated, tested, and optimized by AI. So what should the leadership ask right now? Do we have a unified digital thread from store to shelf to consumer? Have we identified which parts of the business should be twin-enabled—and why? Are our analytics teams trained to translate simulations into strategic guidance? Do our investment decisions reflect synthetic foresight or gut instinct? Are we using this tech to augment our people, not replace them? Because, make no mistake—this isn't just digital transformation. This is cognitive augmentation of the enterprise. It's where AI, IoT, behavioral modeling, and scenario economics converge to produce better thinking, faster decisions, and more resilient companies. As one of my peers at a global asset management firm recently quipped, 'Digital twins are the first models that think like CFOs, but run like engineers.'
Yahoo
30-05-2025
- Business
- Yahoo
Industrial Communication Market, 2030 by Fieldbus, Industrial Ethernet, Wireless, IO-Link, Router & WAP, Switch, Gateway, Communication Interface & Converter, Controller & Connector, Power Device
The global industrial communication market is set to expand from USD 20.45 billion in 2025 to USD 26.06 billion by 2030, with a CAGR of 5.0%. Growth is fueled by SCADA and PLCs integration, digital twin technology, machine-to-machine communication, and smart grid tech. The PROFINET segment is expected to lead the industrial Ethernet market due to scalability and real-time performance. The WLAN segment will witness the fastest CAGR in wireless communication, driven by smart manufacturing demands. India will display the highest growth rate due to industrialization and initiatives like Make in India. Key players include Cisco, Siemens, OMRON, and others. Industrial Communication Market Dublin, May 30, 2025 (GLOBE NEWSWIRE) -- The "Industrial Communication Market by Fieldbus, Industrial Ethernet, Wireless, IO-Link, Router & WAP, Switch, Gateway, Communication Interface & Converter, Controller & Connector and Power Supply Device - Global Forecast to 2030" has been added to offering. The global industrial communication market is on a trajectory to expand from USD 20.45 billion in 2025 to USD 26.06 billion by 2030, reflecting a CAGR of 5.0% The market is stimulated by financial incentives promoting SCADA and PLC adoption in manufacturing, the incorporation of smart grid technologies in the energy sector, and the convergence of digital twin technology with industrial AI. Concurrently, increasing machine-to-machine communication demand is set to optimize industrial efficiency and automation technologies. Key market players include Cisco Systems, Inc. (US), Siemens (Germany), OMRON Corporation (Japan), Huawei Technologies Co., Ltd. (China), Rockwell Automation (US), Moxa Inc. (Taiwan), Belden Inc. (US), and ABB (Switzerland). PROFINET Segment Lead in Industrial Ethernet The PROFINET segment is expected to lead the industrial Ethernet market from 2025 to 2030, due to its scalability, real-time performance, and robust support from leading automation suppliers, particularly in Europe. Known for managing both standard and critical industrial applications, PROFINET supports high-speed data transfer and open network topologies, making it competitive against other protocols. The wide acceptance of PROFINET confirms its position as the premier choice for industrial Ethernet solutions. WLAN Segment to Achieve Fastest Growth in Wireless Communication The WLAN segment is set to grow at the highest rate in the wireless industrial communication market, driven by the escalating demand for wireless, flexible, and scalable communications in smart manufacturing. WLAN enables wireless communication in environments constrained by physical space through technologies like private wireless networks and Wi-Fi 6, supporting real-time data exchange, rapid deployment, and high device density. India Poised for Significant Growth India is projected to register the highest CAGR in the industrial communication market during the forecast period. Factors contributing to this growth include accelerating industrialization, government initiatives such as Make in India and Digital India, and increased automation in sectors like manufacturing, energy, and transportation. The burgeoning industrial base and demand for sophisticated communication infrastructure are crucial growth drivers. Research Coverage This report categorizes the market based on offerings (components, software, services), communication protocols, industries, and regions. The report details major drivers, restraints, and opportunities in the market, projecting trends until 2030. Furthermore, it includes an analysis of key companies in the industrial communication ecosystem. Key Attributes: Report Attribute Details No. of Pages 363 Forecast Period 2025 - 2030 Estimated Market Value (USD) in 2025 $20.45 Billion Forecasted Market Value (USD) by 2030 $26.06 Billion Compound Annual Growth Rate 5.0% Regions Covered Global Key Topics Covered: Market Dynamics Drivers Surging Adoption of Industry 4.0 Convergence of Industrial Ai and Digital Twin Technologies Deployment of Smart Grid Technologies in Energy Sector Rising Preference for Machine-to-Machine Communication to Optimize Industrial Efficiency and Automation Implementation of Incentive Programs to Integrate Plcs and Scada Into Manufacturing Sectors Deployment of 5G Technology in Automotive, Construction, and Manufacturing Sectors Restraints Lack of Standardization in Industrial Communication Protocols and Interfaces Opportunities Enhanced Smart Manufacturing and Digital Transformation With Evolution of 5G Technology Accelerating Adoption of Wireless Networks Across Industrial Sectors Challenges Vulnerability to Targeted Malware, Ransomware, and Hacking Attempts Challenges Associated With Exposure of Equipment to Harsh Conditions Case Study Analysis Moxa Helped Pea Standardize and Simplify Infrastructure Using Moxa Iec 61850 Prp/Hsr Faloria Implemented Cisco Ultra-Reliable Wireless Backhaul Solution and Securitytrust'S Cable Car 4.0 System for Robust and Secure Communication Automotive Inspection Center Leveraged Advantech'S Wise-Paas End-to-Cloud Iot Total Solution for Remote Video Surveillance and Device Status Monitoring Optima Control Solutions Deployed Rockwell Automation'S Allen-Bradley Controllogix and Scada Systems to Improve Operational Efficiency and System Reliability Company Profiles Cisco Systems, Inc. Siemens Rockwell Automation Omron Corporation Huawei Technologies Co., Ltd. Moxa Inc. Sick Ag Schneider Electric Abb Belden Inc. Ge Grid Solutions, Llc Advantech Co., Ltd. Ifm Electronic Gmbh Fanuc Corporation Bosch Rexroth Ag Aaeon Technology Inc. Hms Networks Honeywell International Inc. Mitsubishi Electric Corporation Telefonaktiebolaget Lm Ericsson Hans Turck Gmbh & Co. Kg Acs Motion Control Eaton Beckhoff Automation Hitachi, Ltd. For more information about this report visit About 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. Attachment Industrial Communication Market CONTACT: CONTACT: Laura Wood,Senior Press Manager press@ 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 +353-1-416-8900Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
Yahoo
30-05-2025
- Business
- Yahoo
Industrial Communication Market, 2030 by Fieldbus, Industrial Ethernet, Wireless, IO-Link, Router & WAP, Switch, Gateway, Communication Interface & Converter, Controller & Connector, Power Device
The global industrial communication market is set to expand from USD 20.45 billion in 2025 to USD 26.06 billion by 2030, with a CAGR of 5.0%. Growth is fueled by SCADA and PLCs integration, digital twin technology, machine-to-machine communication, and smart grid tech. The PROFINET segment is expected to lead the industrial Ethernet market due to scalability and real-time performance. The WLAN segment will witness the fastest CAGR in wireless communication, driven by smart manufacturing demands. India will display the highest growth rate due to industrialization and initiatives like Make in India. Key players include Cisco, Siemens, OMRON, and others. Industrial Communication Market Dublin, May 30, 2025 (GLOBE NEWSWIRE) -- The "Industrial Communication Market by Fieldbus, Industrial Ethernet, Wireless, IO-Link, Router & WAP, Switch, Gateway, Communication Interface & Converter, Controller & Connector and Power Supply Device - Global Forecast to 2030" has been added to offering. The global industrial communication market is on a trajectory to expand from USD 20.45 billion in 2025 to USD 26.06 billion by 2030, reflecting a CAGR of 5.0% The market is stimulated by financial incentives promoting SCADA and PLC adoption in manufacturing, the incorporation of smart grid technologies in the energy sector, and the convergence of digital twin technology with industrial AI. Concurrently, increasing machine-to-machine communication demand is set to optimize industrial efficiency and automation technologies. Key market players include Cisco Systems, Inc. (US), Siemens (Germany), OMRON Corporation (Japan), Huawei Technologies Co., Ltd. (China), Rockwell Automation (US), Moxa Inc. (Taiwan), Belden Inc. (US), and ABB (Switzerland). PROFINET Segment Lead in Industrial Ethernet The PROFINET segment is expected to lead the industrial Ethernet market from 2025 to 2030, due to its scalability, real-time performance, and robust support from leading automation suppliers, particularly in Europe. Known for managing both standard and critical industrial applications, PROFINET supports high-speed data transfer and open network topologies, making it competitive against other protocols. The wide acceptance of PROFINET confirms its position as the premier choice for industrial Ethernet solutions. WLAN Segment to Achieve Fastest Growth in Wireless Communication The WLAN segment is set to grow at the highest rate in the wireless industrial communication market, driven by the escalating demand for wireless, flexible, and scalable communications in smart manufacturing. WLAN enables wireless communication in environments constrained by physical space through technologies like private wireless networks and Wi-Fi 6, supporting real-time data exchange, rapid deployment, and high device density. India Poised for Significant Growth India is projected to register the highest CAGR in the industrial communication market during the forecast period. Factors contributing to this growth include accelerating industrialization, government initiatives such as Make in India and Digital India, and increased automation in sectors like manufacturing, energy, and transportation. The burgeoning industrial base and demand for sophisticated communication infrastructure are crucial growth drivers. Research Coverage This report categorizes the market based on offerings (components, software, services), communication protocols, industries, and regions. The report details major drivers, restraints, and opportunities in the market, projecting trends until 2030. Furthermore, it includes an analysis of key companies in the industrial communication ecosystem. Key Attributes: Report Attribute Details No. of Pages 363 Forecast Period 2025 - 2030 Estimated Market Value (USD) in 2025 $20.45 Billion Forecasted Market Value (USD) by 2030 $26.06 Billion Compound Annual Growth Rate 5.0% Regions Covered Global Key Topics Covered: Market Dynamics Drivers Surging Adoption of Industry 4.0 Convergence of Industrial Ai and Digital Twin Technologies Deployment of Smart Grid Technologies in Energy Sector Rising Preference for Machine-to-Machine Communication to Optimize Industrial Efficiency and Automation Implementation of Incentive Programs to Integrate Plcs and Scada Into Manufacturing Sectors Deployment of 5G Technology in Automotive, Construction, and Manufacturing Sectors Restraints Lack of Standardization in Industrial Communication Protocols and Interfaces Opportunities Enhanced Smart Manufacturing and Digital Transformation With Evolution of 5G Technology Accelerating Adoption of Wireless Networks Across Industrial Sectors Challenges Vulnerability to Targeted Malware, Ransomware, and Hacking Attempts Challenges Associated With Exposure of Equipment to Harsh Conditions Case Study Analysis Moxa Helped Pea Standardize and Simplify Infrastructure Using Moxa Iec 61850 Prp/Hsr Faloria Implemented Cisco Ultra-Reliable Wireless Backhaul Solution and Securitytrust'S Cable Car 4.0 System for Robust and Secure Communication Automotive Inspection Center Leveraged Advantech'S Wise-Paas End-to-Cloud Iot Total Solution for Remote Video Surveillance and Device Status Monitoring Optima Control Solutions Deployed Rockwell Automation'S Allen-Bradley Controllogix and Scada Systems to Improve Operational Efficiency and System Reliability Company Profiles Cisco Systems, Inc. Siemens Rockwell Automation Omron Corporation Huawei Technologies Co., Ltd. Moxa Inc. Sick Ag Schneider Electric Abb Belden Inc. Ge Grid Solutions, Llc Advantech Co., Ltd. Ifm Electronic Gmbh Fanuc Corporation Bosch Rexroth Ag Aaeon Technology Inc. Hms Networks Honeywell International Inc. Mitsubishi Electric Corporation Telefonaktiebolaget Lm Ericsson Hans Turck Gmbh & Co. Kg Acs Motion Control Eaton Beckhoff Automation Hitachi, Ltd. For more information about this report visit About 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. Attachment Industrial Communication Market CONTACT: CONTACT: Laura Wood,Senior Press Manager press@ 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 +353-1-416-8900Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
Forbes
28-05-2025
- Business
- Forbes
4 AI Applications To Manufacturing
Thumbnail: A factory Linkedin: Read more about AI in manufacturing Many aspects of the AI revolution are geared toward knowledge work – partly because these new models are so good at thinking in human-like ways. We're not used to computers being able to contemplate doing the job of a paralegal, or a writer, for example. AI in manufacturing is much different. It takes rote processes, and applies artificial intelligence to precision and doing things right. As I've been hearing about all sorts of use cases and applications at conferences and events, I've been thinking about some of the fundamental pillars of manufacturing automation with AI. I think that these provide a good survey of what companies are doing to automate traditional processes. I've written about this before, and I've heard over a dozen experts explain it in various ways. (Who am I kidding? More like a few dozen.) In a nutshell, it seems like this is how digital twinning has to do with manufacturing. The user will create a digital twin of a simulated factory process to show the ideal result. Then they will run the physical process, and compare it to the digital twin. This is a type of precision reinforcement that can help with defects and process errors. That's the basic idea, but there's more in terms of how you set up digital twinning. For example, in a Ted talk centered on this type of application, John Hart (someone with MIT connections) uses this description of how to use digital twinning: 'Before a part is ever printed, such as the watch housing in my hand, we're able to simulate the process,' he says. 'We built and adopted software tools to simulate the process, to virtually lay out the print, and then when the printing starts, we do a relatively straightforward thing that's really important. The printer takes pictures every time it completes a layer, and then, on the fly, looks for microscopic flaws. And the process runs uninterrupted. If flaws are detected, (or) as flaws are detected, it can identify ways to correct for those flaws. And at the end of the print, there is a digital twin of the printed geometry that can be compared to the expected outcome, and can also be used to train the system over time.' That's one model, but there are others, too. Digital twinning is soon to be a best practice in industries from defense to transportation and medical equipment manufacturing. Then there is 'cobots,' the portmanteau for 'collaborative robots' that people use to talk about automated machines working side-by-side with humans. What do these machines do? Well, cobots can do a lot, with everything from repetitive motion assembly, to inspection, to hauling materials to exactly where they need to be for a manufacturing process. The key is that the cobots are built to help humans – rather than industrial robots, which are built for precision, cobots tend to be built for economics and safety. When you talk about the 'factory in a box,' you're talking about self-contained systems that can be stood up at demand locations. They're also very versatile in creating different kinds of products. 'Equipped with AI-driven automation, IoT sensors and real-time data analytics, these units enable flexible, localized production,' write Matthew Finio and Amanda Downie for IBM. 'This allows companies to bring manufacturing closer to demand, reduce logistics costs and rapidly respond to changing needs.' There's also often a need for dedicated systems to provide central control in manufacturing environments. Overarching architectures establish baselines and enable more rigorous evaluation and process optimization. This resource from Tupl goes over Manufacturing Execution Systems (which authors refer to as a 'bridge between the production floor and the enterprise's higher-level operations'), Enterprise Resource Planning software and SCADA (Supervisory Control and Data Acquisition) data collection systems on the floor. In his talk, Hart also theorizes three major advances with multimodal systems. One is the proliferation of new product design designs. The second is that manufacturing flexibility of a 'factory in a box' design. The third is changes to the value chain, where these innovations are going to make production and delivery different for companies. Those are some of the fundamental technologies that are 'collapsing complexity,' in Hart's words, and driving new ways of production. For people who are used to talking about business process optimization, I would use the term 'business process revolution' or 'business process transformation' in thinking about big transitions to AI-native designs that will make tomorrow's factories look much different from what we have today.
Zawya
27-05-2025
- Business
- Zawya
AVEVA Innovate Qatar to focus on how AI and Digital Technologies drive innovation and sustainability across industries
Doha, Qatar - AVEVA, a global leader in industrial software, driving digital transformation and sustainability has announced AVEVA Innovate Qatar on 3rd June at the Marriott Marquis City Center, Doha. The event will focus on how Artificial Intelligence (AI) and digital technologies are transforming industries through smarter, connected operations while accelerating the shift towards a sustainable digital economy. AVEVA will highlight how its solutions support customers to enhance performance and drive sustainability across the asset lifecycle. As part of Qatar National Vision 2030, and to support Qatar's goals for technological advancement, sustainability, and economic diversification, the country is accelerating its journey towards a digitally empowered economy that focuses on six key pillars: hyper-connectivity, hyper-computing, hyper-automation, digital innovation, digital economy, and digital infrastructure. . 'We support Qatar's Vision 2030 by empowering companies mainly from sectors such as O&G, Power, Chemicals, EPC, CPG & Infrastructure, to become more sustainable, efficient, and digitally connected. Our advanced technologies such as AI, cloud, and digital twin, accelerate their journey towards smarter and more connected operations, laying the foundation for a resilient digital economy. At AVEVA Innovate Qatar we will demonstrate how our technology enables partners and customers to achieve real, measurable progress across the industry to align with the nation's long-term goals for economic diversification and sustainability,' said Nayef Bou Chaaya, AVEVA Vice President, Middle East, Africa and Turkey. AVEVA experts will lead sessions on various topics including new ways to deliver capital projects, the different steps in the journey towards autonomous operations such as hybrid platforms with predictive analytics, IT-OT data convergence for AI and machine learning, carbon chain optimization, collaboration, and net-zero strategies. From optimizing Capital Expenditures (CAPEX) and improving asset reliability to reducing emissions, AVEVA's solutions deliver measurable results. With CONNECT, AVEVA's intelligent industrial platform, organizations can securely collaborate and share data with colleagues, partners, and original equipment manufacturers within a cloud-secured environment. AVEVA is driving digital transformation by working closely with its customers Qatar Foundation and Qatar Power. These collaborations align with Qatar's Digital Agenda, which enables a more connected nation through advanced technologies and sustainable innovation. About AVEVA AVEVA is a global leader in industrial software, sparking ingenuity to drive responsible use of the world's resources. Over 90% of leading industrial enterprises rely on AVEVA to help them deliver life's essentials: safe, reliable energy, food, medicines, infrastructure and more. By connecting people with trusted information and AI-enriched insights, AVEVA helps them engineer capital projects more efficiently, operate better and create sustainable value, from the plant to the cloud and beyond. Through our industrial intelligence platform, CONNECT, and our trusted and secure information management applications enriched with industrial AI, AVEVA empowers businesses to drive deeper collaboration between teams and to accelerate insight across their ecosystem of suppliers, partners and customers. Named as one of the world's most innovative companies, AVEVA's open solutions draw on the expertise of more than 6,000 employees, 5,000 partners and 5,700 certified developers. The company, which has operations around the globe, is headquartered in Cambridge, UK. Copyright © 2025 AVEVA Solutions Limited. All rights reserved. AVEVA Solutions Limited is owned by AVEVA Group Limited. AVEVA, the AVEVA logos and AVEVA product names are trademarks or registered trademarks of AVEVA Group Limited or its subsidiaries in the United Kingdom and other countries. Other brands and product names are the trademarks of their respective companies.
