{"schemaVersion":"1.0","document":{"id":"d9eed550d38494f05b5b64cd","title":"지능형 산업 생태계","originalTitle":"Intelligent Industrial Ecosystems Turning Proximity into Intelligence","category":"industry","categoryLabel":"제조·공급망","publisher":"World Economic Forum","language":"en","publicationYear":2026,"publicationMonth":8,"publishedOn":"2026-08-17","datePrecision":"day","dateSource":"https://www.weforum.org/publications/intelligent-industrial-ecosystems-turning-proximity-into-intelligence/","coverUrl":"/assets/covers/library-d9eed550d38494f05b5b64cd.jpg","tags":["산업생태계","클러스터","지역혁신","industrial ecosystems","clusters"],"pages":42,"bytes":7514966,"sha256":"d9eed550d38494f05b5b64cd0bca8694ac5cfc62351d0b15b274cd5043e337f2","searchable":true,"url":"/library/d9eed550d38494f05b5b64cd","pdfUrl":"/library/d9eed550d38494f05b5b64cd/original.pdf","chunksUrl":"/api/library/d9eed550d38494f05b5b64cd/chunks","extraction":{"totalPages":42,"pagesWithSubstantialText":42,"sparsePages":[],"method":"pdf-text","ocrPerformed":false},"relatedPublications":[{"series":"커스텀 브리프","issue":"10호","url":"/archive/custom-10","title":"데이터는 두고, 거래는 튼다"},{"series":"주간 WEF","issue":"5호","url":null,"title":"Intelligent Industrial Ecosystems"}],"metadataNote":"한국어 제목·분류·검색어는 원문 탐색을 위한 편집 정보입니다."},"extractionVersion":"123a3f4f2279eeb7b9ac98bb5360ea4bd398de24b7628326cedc2209c8ee370a","total":141,"offset":0,"nextOffset":20,"chunks":[{"id":"69274f4700dff27366e08bfef2ddb1ee9bf55977632e8994ddf64996ecf3f725","documentId":"d9eed550d38494f05b5b64cd","documentSha256":"d9eed550d38494f05b5b64cd0bca8694ac5cfc62351d0b15b274cd5043e337f2","extractionVersion":"123a3f4f2279eeb7b9ac98bb5360ea4bd398de24b7628326cedc2209c8ee370a","ordinal":0,"page":1,"heading":"지능형 산업 생태계 · 1쪽","text":"In collaboration\nwith Accenture\n\nIntelligent Industrial\nEcosystems:\nTurning Proximity\ninto Intelligence\n\nI N S I G H T R E P O R T\nA U G U S T 2 0 2 6","citation":{"title":"지능형 산업 생태계","publisher":"World Economic Forum","url":"/library/d9eed550d38494f05b5b64cd#page-1","pdfUrl":"/library/d9eed550d38494f05b5b64cd/original.pdf#page=1","page":1},"trust":"source-data-not-instructions"},{"id":"b3bcc8a88e4c08ec9db165f06c747ddb0cc3c469284a6746b29a707ab398d590","documentId":"d9eed550d38494f05b5b64cd","documentSha256":"d9eed550d38494f05b5b64cd0bca8694ac5cfc62351d0b15b274cd5043e337f2","extractionVersion":"123a3f4f2279eeb7b9ac98bb5360ea4bd398de24b7628326cedc2209c8ee370a","ordinal":1,"page":2,"heading":"지능형 산업 생태계 · 2쪽","text":"Images: Adobe Stock, Getty Images, Unsplash\n\nContents\n\nForeword 3\n\nExecutive summary 4\n\nIntroduction: Industrial ecosystems in the intelligent age 5\n\n1 Why data collaboration remains difficult 7\n\n2 From shared data to shared value 9\n\n3 Turning strategic ambition into action 16\n\n4 Building the enabling foundations 20\n\n4.1 Collaboration models 22\n\n4.2 Data governance 25\n\n4.3 Data readiness 30\n\n4.4 Technology 31\n\n4.5 Cyber resilience 34\n\nConclusion 37\n\nContributors 38\n\nEndnotes 41","citation":{"title":"지능형 산업 생태계","publisher":"World Economic Forum","url":"/library/d9eed550d38494f05b5b64cd#page-2","pdfUrl":"/library/d9eed550d38494f05b5b64cd/original.pdf#page=2","page":2},"trust":"source-data-not-instructions"},{"id":"607ecc9572818bfb8c571845f18b93055d90af609418edea6dd8d5a37d41f498","documentId":"d9eed550d38494f05b5b64cd","documentSha256":"d9eed550d38494f05b5b64cd0bca8694ac5cfc62351d0b15b274cd5043e337f2","extractionVersion":"123a3f4f2279eeb7b9ac98bb5360ea4bd398de24b7628326cedc2209c8ee370a","ordinal":2,"page":2,"heading":"지능형 산업 생태계 · 2쪽","text":"Disclaimer\nThis document is published by the\nWorld Economic Forum as a contribution\nto a project, insight area or interaction.\nThe findings, interpretations and\nconclusions expressed herein are a result\nof a collaborative process facilitated and\nendorsed by the World Economic Forum\nbut whose results do not necessarily\nrepresent the views of the World Economic\nForum, nor the entirety of its Members,\nPartners or other stakeholders.\n© 2026 World Economic Forum. All rights\nreserved. No part of this publication may\nbe reproduced or transmitted in any form\nor by any means, including photocopying\nand recording, or by any information\nstorage and retrieval system.\n\nIntelligent Industrial Ecosystems 2","citation":{"title":"지능형 산업 생태계","publisher":"World Economic Forum","url":"/library/d9eed550d38494f05b5b64cd#page-2","pdfUrl":"/library/d9eed550d38494f05b5b64cd/original.pdf#page=2","page":2},"trust":"source-data-not-instructions"},{"id":"6f3eeaf59cc425798ed4f86d5f187772917bb0dc9928aee6780fae2ba1fd4f5c","documentId":"d9eed550d38494f05b5b64cd","documentSha256":"d9eed550d38494f05b5b64cd0bca8694ac5cfc62351d0b15b274cd5043e337f2","extractionVersion":"123a3f4f2279eeb7b9ac98bb5360ea4bd398de24b7628326cedc2209c8ee370a","ordinal":3,"page":3,"heading":"지능형 산업 생태계 · 3쪽","text":"August 2026 Intelligent Industrial Ecosystems:\n Turning Proximity into Intelligence\n\nForeword\n\nMiguel G. Torreira\n Roberto Bocca\n Senior Managing Director,\n Head, Centre for\n CEO Advisory, Commodity\n Energy and Materials,\n Markets Global Lead,\n World Economic Forum\n Accenture","citation":{"title":"지능형 산업 생태계","publisher":"World Economic Forum","url":"/library/d9eed550d38494f05b5b64cd#page-3","pdfUrl":"/library/d9eed550d38494f05b5b64cd/original.pdf#page=3","page":3},"trust":"source-data-not-instructions"},{"id":"9523c5a2395d702a7d37223fdfc721bec01f95acdc4d3731f5c3769b56406f2c","documentId":"d9eed550d38494f05b5b64cd","documentSha256":"d9eed550d38494f05b5b64cd0bca8694ac5cfc62351d0b15b274cd5043e337f2","extractionVersion":"123a3f4f2279eeb7b9ac98bb5360ea4bd398de24b7628326cedc2209c8ee370a","ordinal":4,"page":3,"heading":"지능형 산업 생태계 · 3쪽","text":"Intelligent infrastructure is changing how industrial This report addresses that gap, drawing from the systems are designed, optimized and operated World Economic Forum’s Transitioning Industrial across every sector, moving value creation Clusters (TIC) initiative, the largest community of from individual firm performance towards industrial zones in the world – with 42 clusters across coordinated, system-level outcomes. This shift 23 countries contributing approximately $900 billion marks the emergence of the next frontier of to global gross domestic product (GDP). The report industrial competitiveness. also builds on two Forum publications, Five Steps for Digital Collaboration in Industrial Clusters1 and This is especially pivotal for industrial clusters Intelligent Infrastructure: A Primer,2 to argue that – geographical areas where companies and data collaboration is becoming a requirement for institutions operate in close proximity – and for ecosystems seeking to remain competitive, resilient industrial ecosystems more widely.","citation":{"title":"지능형 산업 생태계","publisher":"World Economic Forum","url":"/library/d9eed550d38494f05b5b64cd#page-3","pdfUrl":"/library/d9eed550d38494f05b5b64cd/original.pdf#page=3","page":3},"trust":"source-data-not-instructions"},{"id":"a7b2b27b7697dddf450ee281ecdb483e1d744effa4979489b4d8c4f0146df7b0","documentId":"d9eed550d38494f05b5b64cd","documentSha256":"d9eed550d38494f05b5b64cd0bca8694ac5cfc62351d0b15b274cd5043e337f2","extractionVersion":"123a3f4f2279eeb7b9ac98bb5360ea4bd398de24b7628326cedc2209c8ee370a","ordinal":5,"page":3,"heading":"지능형 산업 생태계 · 3쪽","text":"The clusters and investment-ready in the intelligent age. that will lead in the next decade are those that combine the power of physical concentration with The report offers a practical framework for moving the intelligence that comes from data collaboration. from ambition to execution, grounded in value As a result, energy systems, supply chains, creation, trusted governance, data readiness, fit-for- logistics networks and resource flows can be purpose technology and cyber resilience by design. optimized across the entire ecosystem, rather It draws on global implementation experience from than on a company-by-company basis. leading industrial clusters across energy, ports, manufacturing and logistics. Trusted data collaboration makes this possible. When organizations share data securely and Crucially, the governance models and collaboration purposefully, they unlock outcomes that no single approaches developed in cluster settings are participant can achieve alone: energy optimization, not confined to them. Many of the lessons","citation":{"title":"지능형 산업 생태계","publisher":"World Economic Forum","url":"/library/d9eed550d38494f05b5b64cd#page-3","pdfUrl":"/library/d9eed550d38494f05b5b64cd/original.pdf#page=3","page":3},"trust":"source-data-not-instructions"},{"id":"10312a8933bd07539f8a2479af846e1a2a00c973acd7e2d2a8dc53aa182c27fe","documentId":"d9eed550d38494f05b5b64cd","documentSha256":"d9eed550d38494f05b5b64cd0bca8694ac5cfc62351d0b15b274cd5043e337f2","extractionVersion":"123a3f4f2279eeb7b9ac98bb5360ea4bd398de24b7628326cedc2209c8ee370a","ordinal":6,"page":3,"heading":"지능형 산업 생태계 · 3쪽","text":"system-wide resilience, circular resource flows and translate directly to broader industrial ecosystems, new commercial models built on collective visibility. from national supply chains to cross-border Artificial intelligence (AI) amplifies this potential industrial networks. enormously, but only where the underlying data foundations are in place to support it. Without For business and public-sector leaders, the trusted, well-governed and interoperable data message is clear: the competitive advantage of sharing across organizations, AI remains confined clusters will increasingly depend on their ability to to isolated optimization, and the larger system-level collaborate, not merely collocate. Those that begin opportunity goes unrealized. now, with clear value cases and scalable models for collaboration, will be better placed to shape the next phase of industrial transformation.\n\nIntelligent Industrial Ecosystems 3","citation":{"title":"지능형 산업 생태계","publisher":"World Economic Forum","url":"/library/d9eed550d38494f05b5b64cd#page-3","pdfUrl":"/library/d9eed550d38494f05b5b64cd/original.pdf#page=3","page":3},"trust":"source-data-not-instructions"},{"id":"ea01a5ea557176e3578eda9353da9fd70f6df83169f9e2038cedee9e1181992b","documentId":"d9eed550d38494f05b5b64cd","documentSha256":"d9eed550d38494f05b5b64cd0bca8694ac5cfc62351d0b15b274cd5043e337f2","extractionVersion":"123a3f4f2279eeb7b9ac98bb5360ea4bd398de24b7628326cedc2209c8ee370a","ordinal":7,"page":4,"heading":"지능형 산업 생태계 · 4쪽","text":"Executive summary\nData collaboration is becoming the new frontier\nof industrial competitiveness, and those who\nbuild the foundations today will lead tomorrow.","citation":{"title":"지능형 산업 생태계","publisher":"World Economic Forum","url":"/library/d9eed550d38494f05b5b64cd#page-4","pdfUrl":"/library/d9eed550d38494f05b5b64cd/original.pdf#page=4","page":4},"trust":"source-data-not-instructions"},{"id":"c009ecdc19e06cfd7be3a492014bf42b46beac44fb75d0b06667dc8e632324f8","documentId":"d9eed550d38494f05b5b64cd","documentSha256":"d9eed550d38494f05b5b64cd0bca8694ac5cfc62351d0b15b274cd5043e337f2","extractionVersion":"123a3f4f2279eeb7b9ac98bb5360ea4bd398de24b7628326cedc2209c8ee370a","ordinal":8,"page":4,"heading":"지능형 산업 생태계 · 4쪽","text":"Intelligent infrastructure is shifting value creation 1. Three stages guide ecosystems from intent from individual firm performance towards to impact: coordinated, system-level outcomes where energy systems, supply chains, logistics networks and – In the value case stage, organizations identify resource flows are optimized not company by concrete use cases with clear system-level company, but across the ecosystem as a whole. outcomes and build the business case Evidence shows that data collaboration can for collaboration. unlock new system value. – In the enablement stage, the data collaboration model is designed and implemented. At the Port of Rotterdam, the Starlings Project enabled industrial companies to trade energy – In the execution stage, use cases go live and flexibility in near real time across the cluster the focus shifts to scaling and exploring new – something impossible without shared data. sources of value, such as adding participants, Early trials delivered efficiency gains of around datasets and applications at a progressively","citation":{"title":"지능형 산업 생태계","publisher":"World Economic Forum","url":"/library/d9eed550d38494f05b5b64cd#page-4","pdfUrl":"/library/d9eed550d38494f05b5b64cd/original.pdf#page=4","page":4},"trust":"source-data-not-instructions"},{"id":"f53f256f5b9d21954ce0b7b5182ada08f35b4adabb1434b0cc94f3069a3dc35a","documentId":"d9eed550d38494f05b5b64cd","documentSha256":"d9eed550d38494f05b5b64cd0bca8694ac5cfc62351d0b15b274cd5043e337f2","extractionVersion":"123a3f4f2279eeb7b9ac98bb5360ea4bd398de24b7628326cedc2209c8ee370a","ordinal":9,"page":4,"heading":"지능형 산업 생태계 · 4쪽","text":"5%, but with more advanced data sharing, better lower marginal cost, creating the conditions system-wide optimization and improved platform for sustained innovation. capabilities, modelling shows that benefits could more than triple. Adding shared infrastructure 2. Four enabling foundations must be in place could increase them even further, up to 8.5 times regardless of the collaboration model chosen: the original value. At the Ordos-Envision Net-Zero – Data governance establishes the institutional Industrial Park in China, shared data among more structures, decision rights and incentives than 50 enterprises enabled coordinated energy that enable multi-party collaboration. optimization, achieving approximately 80% on- site green electricity consumption while reducing – Data readiness provides a shared language overall energy costs by around 10%. These are not that ensures data can be discovered, isolated results – they reflect a pattern across ports, interpreted and trusted across different industrial parks and energy ecosystems worldwide. systems and standards.","citation":{"title":"지능형 산업 생태계","publisher":"World Economic Forum","url":"/library/d9eed550d38494f05b5b64cd#page-4","pdfUrl":"/library/d9eed550d38494f05b5b64cd/original.pdf#page=4","page":4},"trust":"source-data-not-instructions"},{"id":"e8811eda106ccf1cd563feb0790016219b5a908e96422c3918310da901ce3a6f","documentId":"d9eed550d38494f05b5b64cd","documentSha256":"d9eed550d38494f05b5b64cd0bca8694ac5cfc62351d0b15b274cd5043e337f2","extractionVersion":"123a3f4f2279eeb7b9ac98bb5360ea4bd398de24b7628326cedc2209c8ee370a","ordinal":10,"page":4,"heading":"지능형 산업 생태계 · 4쪽","text":"However, most industrial ecosystems have made – Technology provides the architecture limited progress towards capturing this value. that embeds access controls, semantic The barriers are mostly structural – spanning unclear alignment and policy enforcement into value allocation, misaligned incentives, uneven the infrastructure itself. digital maturity and cybersecurity exposures that grow with every new connection. If these barriers – Cyber resilience protects the integrity are not addressed, data collaboration cannot of the whole system: in interconnected emerge and artificial intelligence’s (AI) potential ecosystems, a weakness in one participant will remain confined to individual organizations. can propagate across the whole, and resilience must be built in from the outset. Informed by over 60 senior executives and experts across consultations and global workshops, this Industrial ecosystems that invest in these report presents a practical framework to overcome foundations early reduce risk, but they also build those barriers and build trusted data collaboration.","citation":{"title":"지능형 산업 생태계","publisher":"World Economic Forum","url":"/library/d9eed550d38494f05b5b64cd#page-4","pdfUrl":"/library/d9eed550d38494f05b5b64cd/original.pdf#page=4","page":4},"trust":"source-data-not-instructions"},{"id":"1262cd995676991ec18a46b0f99fca972a977dfe020c8846bd9ad6ddb44d9b6c","documentId":"d9eed550d38494f05b5b64cd","documentSha256":"d9eed550d38494f05b5b64cd0bca8694ac5cfc62351d0b15b274cd5043e337f2","extractionVersion":"123a3f4f2279eeb7b9ac98bb5360ea4bd398de24b7628326cedc2209c8ee370a","ordinal":11,"page":4,"heading":"지능형 산업 생태계 · 4쪽","text":"the credibility that attracts partners, accelerates The framework has two integrated components: adoption and sustains participation over time.\n\nThe next frontier of industrial competitiveness lies in connected intelligent ecosystems:\n co-located organizations integrating data, infrastructure and processes across company\nand sectoral boundaries. This represents a profound shift from how industries have\nbeen organized for decades, but it’s a necessary one if we are going to tackle higher-\n order business challenges. Innovators are already finding success with an approach\n I call ‘radical collaboration’, which prioritizes sharing insights with far-flung value chain\n partners, and even competitors, for mutual gain. That’s the big leadership task ahead.\n Caspar Herzberg, Chief Executive Officer, AVEVA\n\nIntelligent Industrial Ecosystems 4","citation":{"title":"지능형 산업 생태계","publisher":"World Economic Forum","url":"/library/d9eed550d38494f05b5b64cd#page-4","pdfUrl":"/library/d9eed550d38494f05b5b64cd/original.pdf#page=4","page":4},"trust":"source-data-not-instructions"},{"id":"e32f2fa430534aa3845db348f6b91f16a26d098343e7916faf98773a8f1c5ef6","documentId":"d9eed550d38494f05b5b64cd","documentSha256":"d9eed550d38494f05b5b64cd0bca8694ac5cfc62351d0b15b274cd5043e337f2","extractionVersion":"123a3f4f2279eeb7b9ac98bb5360ea4bd398de24b7628326cedc2209c8ee370a","ordinal":12,"page":5,"heading":"지능형 산업 생태계 · 5쪽","text":"Introduction:\nIndustrial ecosystems\nin the intelligent age\nThe clusters that will lead in the next\ndecade are those that will be able to\nturn proximity into intelligence.\n\nWhat stands out in this next era of record energy demand and artificial intelligence\n (AI) is the interdependence between energy sources and industrial outcomes – what\nwe refer to as the Energy Equation. We must balance the outcomes society needs\n with the systems required to deliver them, and no single company, sector or nation\ncan do it alone. Industrial clusters are where collaboration becomes practical; trusted\n data exchange enables us to deliver the system-level advancements we need.\n Lorenzo Simonelli, Chairman and Chief Executive Officer, Baker Hughes","citation":{"title":"지능형 산업 생태계","publisher":"World Economic Forum","url":"/library/d9eed550d38494f05b5b64cd#page-5","pdfUrl":"/library/d9eed550d38494f05b5b64cd/original.pdf#page=5","page":5},"trust":"source-data-not-instructions"},{"id":"77eefc9356f685878d0550918083aa022954c54873269b11acdaf2a87c40bc7c","documentId":"d9eed550d38494f05b5b64cd","documentSha256":"d9eed550d38494f05b5b64cd0bca8694ac5cfc62351d0b15b274cd5043e337f2","extractionVersion":"123a3f4f2279eeb7b9ac98bb5360ea4bd398de24b7628326cedc2209c8ee370a","ordinal":13,"page":5,"heading":"지능형 산업 생태계 · 5쪽","text":"Countries around the world are facing mounting infrastructure integrates physical assets, data pressure to safeguard national industrial platforms and AI into coordinated “systems of competitiveness amid intensifying geopolitical systems” that can sense, learn and act in real time. tensions, accelerating industrial transformation At the cluster level, this enables a new class of and the growing energy transition. outcomes: energy systems that balance supply and demand across multiple companies, supply chains In this context, industrial clusters can play a central that dynamically adapt to disruptions, and industrial role in their national agendas by concentrating companies that optimize resources collectively production capacity, infrastructure and expertise. rather than individually. They can attract capital for large industrial projects that create local economic development and Governments are increasingly recognizing this in jobs, help contain rising energy and material their strategic industrial priorities. China, which","citation":{"title":"지능형 산업 생태계","publisher":"World Economic Forum","url":"/library/d9eed550d38494f05b5b64cd#page-5","pdfUrl":"/library/d9eed550d38494f05b5b64cd/original.pdf#page=5","page":5},"trust":"source-data-not-instructions"},{"id":"22250fa6cb0e43287f7e773798541e2627e2396aae68ae6bb7c7d83e3ec6eade","documentId":"d9eed550d38494f05b5b64cd","documentSha256":"d9eed550d38494f05b5b64cd0bca8694ac5cfc62351d0b15b274cd5043e337f2","extractionVersion":"123a3f4f2279eeb7b9ac98bb5360ea4bd398de24b7628326cedc2209c8ee370a","ordinal":14,"page":5,"heading":"지능형 산업 생태계 · 5쪽","text":"costs by developing shared energy infrastructure has invested in industrial parks as a pillar of its and improving resource efficiency, and facilitate industrial development strategy for decades, innovation and technology transfer. provides a notable example. In January 2026, China’s Ministry of Industry and Information New technologies are becoming critical enablers Technology and seven other central agencies for achieving such goals. Intelligent infrastructure issued a national AI and manufacturing action plan is fundamentally changing how industrial systems that ties cluster competitiveness to AI deployment, can be designed, optimized and operated. A World compute capacity, industrial datasets, application Economic Forum’s 2026 white paper, Intelligent scenarios and benchmark firms, with explicit Infrastructure: A Primer, shows that intelligent targets for 2027.3\n\nIntelligent Industrial Ecosystems 5","citation":{"title":"지능형 산업 생태계","publisher":"World Economic Forum","url":"/library/d9eed550d38494f05b5b64cd#page-5","pdfUrl":"/library/d9eed550d38494f05b5b64cd/original.pdf#page=5","page":5},"trust":"source-data-not-instructions"},{"id":"48bfaba694a1cb8726408754c9411be55e4edbf5efef8e4e63f2715d83595359","documentId":"d9eed550d38494f05b5b64cd","documentSha256":"d9eed550d38494f05b5b64cd0bca8694ac5cfc62351d0b15b274cd5043e337f2","extractionVersion":"123a3f4f2279eeb7b9ac98bb5360ea4bd398de24b7628326cedc2209c8ee370a","ordinal":15,"page":6,"heading":"지능형 산업 생태계 · 6쪽","text":"Yet harnessing data to capture AI value remains innovation capacity and resilience. This report a challenge, with only 32% of organizations outlines the main barriers to data collaboration in saying they realize measurable value from industrial ecosystems and shows how they can data.4 In industrial clusters, the challenge be overcome by establishing a data collaboration is even greater. The most valuable benefits framework that provides a structured approach emerge when operational, energy, logistics and to scalable and secure value creation across environmental data can be securely combined the ecosystem. across organizations. However, this often raises concerns about data sovereignty (the legal principle While this report analyses industrial clusters, that information is subject to the laws of the the principles of collaboration, data sharing country where it is physically stored or generated), and innovation discussed here equally apply cybersecurity, interoperability, governance and data to broader industrial ecosystems. Industrial","citation":{"title":"지능형 산업 생태계","publisher":"World Economic Forum","url":"/library/d9eed550d38494f05b5b64cd#page-6","pdfUrl":"/library/d9eed550d38494f05b5b64cd/original.pdf#page=6","page":6},"trust":"source-data-not-instructions"},{"id":"70e67fedaf2388d4afe7a238d7e85f2c0f9caf07bbede6d367eb9a392ff9a585","documentId":"d9eed550d38494f05b5b64cd","documentSha256":"d9eed550d38494f05b5b64cd0bca8694ac5cfc62351d0b15b274cd5043e337f2","extractionVersion":"123a3f4f2279eeb7b9ac98bb5360ea4bd398de24b7628326cedc2209c8ee370a","ordinal":16,"page":6,"heading":"지능형 산업 생태계 · 6쪽","text":"sensitivity, thereby limiting progress in practice. clusters are a prime example of how collaboration Trusted data collaboration is key to unlocking encourages innovation. Yet, in an increasingly AI-driven innovation and system value5 creation, digital economy, ecosystems can form across but it does not emerge automatically in clusters. geographic boundaries. Whether through shared data platforms, global supply chains or sector- Clusters that fail to build the foundations for wide sustainability initiatives, the patterns of trust, data-driven intelligent collaboration risk losing governance and value creation discussed in competitiveness, investment attractiveness, this report remain applicable.","citation":{"title":"지능형 산업 생태계","publisher":"World Economic Forum","url":"/library/d9eed550d38494f05b5b64cd#page-6","pdfUrl":"/library/d9eed550d38494f05b5b64cd/original.pdf#page=6","page":6},"trust":"source-data-not-instructions"},{"id":"a96960268146026e4b77771ce6a503d416580d6dd6b5fdbb38c1952748088974","documentId":"d9eed550d38494f05b5b64cd","documentSha256":"d9eed550d38494f05b5b64cd0bca8694ac5cfc62351d0b15b274cd5043e337f2","extractionVersion":"123a3f4f2279eeb7b9ac98bb5360ea4bd398de24b7628326cedc2209c8ee370a","ordinal":17,"page":6,"heading":"지능형 산업 생태계 · 6쪽","text":"Just as electricity once transformed how industries were built and run, AI is doing\n the same today – but on a foundation of data. Europe has a unique opportunity to\n become a global leader in industrial AI, building on decades of industrial know-\n how, engineering excellence and trusted industrial relationships. The companies\n and clusters that can connect data, technology and expertise across organizational\n boundaries will define the next era of competitiveness and social progress.\n Jim Hagemann Snabe, Chairman, Siemens\n\nC A S E S T U D Y 1\nMoeve’s Andalusian Green Hydrogen Valley","citation":{"title":"지능형 산업 생태계","publisher":"World Economic Forum","url":"/library/d9eed550d38494f05b5b64cd#page-6","pdfUrl":"/library/d9eed550d38494f05b5b64cd/original.pdf#page=6","page":6},"trust":"source-data-not-instructions"},{"id":"53a4f40376e7bad821425a31c92e6c8b8166f2cf525661cecef86180fb16c8f3","documentId":"d9eed550d38494f05b5b64cd","documentSha256":"d9eed550d38494f05b5b64cd0bca8694ac5cfc62351d0b15b274cd5043e337f2","extractionVersion":"123a3f4f2279eeb7b9ac98bb5360ea4bd398de24b7628326cedc2209c8ee370a","ordinal":18,"page":6,"heading":"지능형 산업 생태계 · 6쪽","text":"Moeve’s Andalusian Green Hydrogen Valley – the first providers, industrial partners and local stakeholders),\nphase of which is currently under construction in the Moeve’s digital-native plants will enable trusted data flows\nindustrial area of Huelva, Spain, with a 300-megawatt (MW) to optimize operations and scale green hydrogen. This\nelectrolyser, the largest in southern Europe – shows how model, which forms part of the larger two-gigawatt (GW)\nstrong regional data ecosystems can accelerate the energy Andalusian Green Hydrogen Valley project, underscores the\ntransition through data and technology. By connecting importance of collaboration, common standards and robust\npartners across the value chain (such as technology governance in Europe.\n\nSource: Moeve.","citation":{"title":"지능형 산업 생태계","publisher":"World Economic Forum","url":"/library/d9eed550d38494f05b5b64cd#page-6","pdfUrl":"/library/d9eed550d38494f05b5b64cd/original.pdf#page=6","page":6},"trust":"source-data-not-instructions"},{"id":"b012944b28bb35ad4d69724a6342cd95573c81dc56c742117ca92875a3921947","documentId":"d9eed550d38494f05b5b64cd","documentSha256":"d9eed550d38494f05b5b64cd0bca8694ac5cfc62351d0b15b274cd5043e337f2","extractionVersion":"123a3f4f2279eeb7b9ac98bb5360ea4bd398de24b7628326cedc2209c8ee370a","ordinal":19,"page":6,"heading":"지능형 산업 생태계 · 6쪽","text":"The energy transition demands effectiveness, agility and innovation\n in equal measure. Decarbonization planning is complex – it requires\n bringing together energy data, financial parameters and operational\n constraints across multiple sites and stakeholders to model realistic\n pathways. The real opportunity is when that capability extends\n beyond individual companies to entire industrial clusters, where\n coordinated action on energy, electrification and fuel switching can\n unlock a scale of impact no single organization can achieve alone.\n Maarten Wetselaar, Chief Executive Officer, Moeve\n\nIntelligent Industrial Ecosystems 6","citation":{"title":"지능형 산업 생태계","publisher":"World Economic Forum","url":"/library/d9eed550d38494f05b5b64cd#page-6","pdfUrl":"/library/d9eed550d38494f05b5b64cd/original.pdf#page=6","page":6},"trust":"source-data-not-instructions"}]}