Global Lighthouse Network 2026

Lighthouses modernize IIoT architectures to unlock end-to-end value chain impact FIGURE 9 Notes: 1. According to ISA 95 standard; 2. e.g. machines, utilities, workstations. AA/ML = advanced analytics/machine learning, API = application programming interface, DCS = distributed control system, E2E = end-to-end, MES = manufacturing execution system, NLP = natural language processing, OCR = optical character recognition, PLC = programmable logic controller, SaaS = software-as-a-service, SCADA = supervisory control and data acquisition, TB = terabyte. Source: Global Lighthouse Network.Monitoring & supervision Level 1, 2 Operations shop floor Level 0, 1Data Cloud & on- premisesAnalytics, artificial intelligence Local IT Level 1, 3 & 4Applications 8Data integration Real time or batch integrationBusiness or chestration Rule engines, AR/VR, automated workflowsEngagement channels Web-based, mobile apps, dashboar ds etc. Analytics workbench Enabling tooling, rapid testExploratory analytics Dashboar ds with data slicing and dicing facilityAI components AA/ML, NLP , OCR, computer vision etc. Data lake Structur ed & unstructur ed data, highly scalableData war ehouse Structur ed data and scalable up to TBCentral IoT hub / IoT cor e 52 3 MES Manufacturing contr ol at plant level Automation Across OT elements Manufacturing, logistics equipmentERPPoint applications Reporting, barcoding etc.Edge applications and database4Trends and examples from 2025 Lighthouses Generic best-practice IIoT architecture 8 eb nac serutcetihcra ToI ecitcarp-tseB deployed in br ownfield envir onments Retrofit with smart sensors, IoT gateways and/or industrial PCs to obtain data fr om legacy machines66 Lighthouses succeed in connecting ~85% of end-points to the stack eriuqer sesac-esu delbane-IA dna atad-giB scaled connectivity to enable insights 7Lighthouses leverage all types of data to drive business impact dna derutcurtsnu ,derutcurts eb nac ataD semi-structur ed4World-class systems can be cloud- enabled or deployed on-pr em tnempoleved esuoh-ni eht no gnidnepeD capabilities and har dwar e available data can be stored on-pr emises or on the cloud 5Core IoT systems ar e bor n onsite and highly customized tnempoleved ToI gnizilacol era sesuohthgiL capabilities. IoT infrastructur es ar e incr easingly fully owned E2E by sites3Lighthouses collaborate extensively with the tech ecosystem rentrap eno htiw ylevisnetxe etaroballoc sesuohthgiL of each pillar (e.g. academia, startup, tech vendors, hyperscalers)2Stability at the cor e enables application flexibility noitargetni elbixefl elbane serutcetihcra eroc elbatS of fast-developing elements such as LLMs thr ough standar dized pr otocols and interfaces1Cyber -security , especially ar ound AI, is top of the agenda Cybersecurity best practices are key when deploying LLMs to secure intellectual property (IP) Lighthouse IT/OT integration and performance 3-6 months dna niart ,ngised ot emiT deploy new solutions Shar e of solutions developed esuoh-nI %06 3 %52 rd party on-pr emises 3 %51 rd party SaaSstniop dnE %58 2 sremotsuC %53 sreilppuS %73 duolc nI %53 sesimerp-nO %05 egde nO %51 Connected to IoT platform Hosting of digital solutions wen draobno ot deepS assets to IoT platformShar e of data stor ed enterprise level (vs. 25% locally on edge, 25% at the site)<1 day 50%IT OTTech stack layer Capabilities SCADA/DCS PLCHistorians1 PLC, sensors, networks IIoT sensors & devices, industrial gatewaysConnectivity & integration (e.g. via APIs) to external sources via internet 7 Global Lighthouse Network: Rewiring Operations for Resilience and Impact at Scale 17