Scholarlink

This chapter explores the future of digital twin (DT) technologies in Europe, identifying emerging trends, strategic challenges, and innovation pathways toward 2030 and beyond. Building on the foundational work of the AI, Data and Robotics Association (ADRA) Digital Twin Topic Group, it provides a forward-looking analysis of how DTs can transform European industry and society. The chapter highlights Europe’s unique opportunity to lead in ethical, sustainable, and value-driven DT adoption, distinct from the investment-heavy approaches of global competitors. Key enablers such as AI integration, data governance, frugal computing, talent development, and regulatory alignment are discussed in depth. A multi-phase technology roadmap is proposed, outlining short-, mid-, and long-term priorities, including DTs’ convergence with mechatronics, AR/VR, and predictive intelligence. Finally, the chapter calls for coordinated European action to foster open innovation ecosystems and establish Europe as a global reference in trusted, human-centric digital twin technologies.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

The Future of Digital Twins in Europe

  • 章节

  • 出版模式：

    开放获取

  • 发表日期：

    2026年

查看全文
  • Victor Alonso Ramos,
  • Gema Antequera García,
  • Iria Galiñanes Romero,
  • Celia Minguet Requeni,
  • Sergio Gusmeroli,
  • Iddo Bante,
  • Jose Ramón Sierra,
  • Nikolaos Nikolakis,
  • Mila Koeva,
  • Katalin Kovacs,
  • Gorka Aguirre,
  • Ibon Ocaña

摘要

This chapter explores the future of digital twin (DT) technologies in Europe, identifying emerging trends, strategic challenges, and innovation pathways toward 2030 and beyond. Building on the foundational work of the AI, Data and Robotics Association (ADRA) Digital Twin Topic Group, it provides a forward-looking analysis of how DTs can transform European industry and society. The chapter highlights Europe’s unique opportunity to lead in ethical, sustainable, and value-driven DT adoption, distinct from the investment-heavy approaches of global competitors. Key enablers such as AI integration, data governance, frugal computing, talent development, and regulatory alignment are discussed in depth. A multi-phase technology roadmap is proposed, outlining short-, mid-, and long-term priorities, including DTs’ convergence with mechatronics, AR/VR, and predictive intelligence. Finally, the chapter calls for coordinated European action to foster open innovation ecosystems and establish Europe as a global reference in trusted, human-centric digital twin technologies.